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THE PERSPECTIVE OF QUALITY MANAGEMENT SYSTEM DEVELOPMENT IN THE ERA OF INDUSTRY 4.0

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Purpose of the study: This study tried to examine the level of awareness and vision of prospects for the development of quality management and its corresponding systems in the era of transition to the technologies and principles of Industry 4.0 among quality management professionals of Russian companies. Methodology: The study is based on the survey conducted in April - May 2019 among the expert community in the field of quality management. A total of 50 experts from Russian industrial and service companies participated in the survey. The survey was organized in accordance with the stages of 'the Deming Plan-Do-Check-Act cycle. The data analyzed by using the Spearman correlation to determine the relationship between the understanding of current priority and anticipation of future changes in quality management concepts, principles, and tools in the era of Industry 4.0. Main Findings: The survey results show how innovative quality management methods can be applied practically with relevance to 4th industrial revolution technologies. The authors conclude that the changes in the core concepts of quality management are necessary for the Industry 4.0 era and offer a 4.0 quality definition through the revision of quality management principles. Applications of the study: The finding of this study is useful for the development of a digital transformation strategy of the business companies by showing the correlation between quality management principles awareness and implementation of digital tools. The study shows the necessity to offer interdisciplinary training for quality management professional and IT specialists on the digital transformation of quality management. Novelty/Originality of the study: The originality is in the design of the survey that covered issues that haven't been studied in correlation with each other before the influence of Industry 4.0 tools and key provisions on quality management and development strategy of the company. In the survey, the perception of new quality management principles was investigated for the first time.
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Humanities & Social Sciences Reviews
eISSN: 2395-6518, Vol 8, No 4, 2020, pp 483-495
https://doi.org/10.18510/hssr.2020.8447
483 |https://giapjournals.com/hssr/index © Salimova
THE PERSPECTIVE OF QUALITY MANAGEMENT SYSTEM
DEVELOPMENT IN THE ERA OF INDUSTRY 4.0
Tatiana Salimova1*, Natalia Vatolkina2, Vasily Makolov3, Natalia Anikina4
1*Dean of Economic Department, Head of Quality Management Chair, Doctor of Economics, Professor, National
Research Mordovia State University, Saransk, Russian Federation; 2Associate Professor of Management Chair,
Bauman Moscow State Technical University, Moscow, Russian Federation; 3Associate Professor of Organizational
Development Chair of Russian State University for the Humanities, Moscow, Russian Federation; 4Associate Professor of
Chair of Statistics, Econometrics and Information Technologies in Management, National Research Mordovia
State University, Saransk, Russian Federation.
Email: 1*salimova.tatiana67@mail.ru, 2vatolkina71@bk.ru, 3vasily.makolov@bk.ru, 4anikina_natalia@inbox.ru
Article History: Received on 27th July 2020, Revised on 15th August 2020, Published on 17th August 2020
Abstract
Purpose of the study: This study tried to examine the level of awareness and vision of prospects for the development of
quality management and its corresponding systems in the era of transition to the technologies and principles of Industry
4.0 among quality management professionals of Russian companies.
Methodology: The study is based on the survey conducted in April - May 2019 among the expert community in the field
of quality management. A total of 50 experts from Russian industrial and service companies participated in the survey.
The survey was organized in accordance with the stages of 'the Deming Plan-Do-Check-Act cycle. The data analyzed by
using the Spearman correlation to determine the relationship between the understanding of current priority and
anticipation of future changes in quality management concepts, principles, and tools in the era of Industry 4.0.
Main Findings: The survey results show how innovative quality management methods can be applied practically with
relevance to 4th industrial revolution technologies. The authors conclude that the changes in the core concepts of quality
management are necessary for the Industry 4.0 era and offer a 4.0 quality definition through the revision of quality
management principles.
Applications of the study: The finding of this study is useful for the development of a digital transformation strategy of
the business companies by showing the correlation between quality management principles awareness and implementation
of digital tools. The study shows the necessity to offer interdisciplinary training for quality management professional and
IT specialists on the digital transformation of quality management.
Novelty/Originality of the study: The originality is in the design of the survey that covered issues that haven't been
studied in correlation with each other before the influence of Industry 4.0 tools and key provisions on quality management
and development strategy of the company. In the survey, the perception of new quality management principles was
investigated for the first time.
Keywords: Industry 4.0, Quality Management, Business Model, Industrial Revolution, Digital Transformation.
INTRODUCTION
The radical and dynamic technological changes that take place in day-to-day life impact every person, enterprise, and
organization resulting in the emergence of new business models and strategies. According to the President of World
Economic Forum (WEF) Schwab (2017), 'the nature of such changes is fundamental, which has not yet known in world
history now we are witnessing the era of both great opportunities and potential dangers'. Artificial Intelligence, Internet
of Things (IoT), robotics, autonomous vehicles, simulation and augmented reality, cloud technologies, bioengineering and
new materials, big data analytics, unlimited internet access and information technologies testify the onset and transition to
fourth industrial revolution i.e., 'Industry 4.0' and the digital transformation of socio-economic processes (Batkovskiy et
al., 2019; Raharja et al., 2019). The fourth industrial revolution connects the material world with the virtual resulting in
the origin of novel cyber-physical complexes that form a digital ecosystem. Moore (2011) opined that with the advent of
the Internet, various sectors such as retail, communications, music, entertainment, and the news got revolutionized.
Health, education, public administration, transport and communications industries are experiencing disruptive
technologies that transform the characteristics of goods and services, organizational processes, management practices,
consumer expectations and business models, which require to their review their approaches so as to ensure the
competitiveness and sustainable development of modern organizations (Hilkevics & Semakina, 2019; Tyapukhin, 2013;
Malitskaya, 2014; Mahrinasari, 2019). Before the WEF-2018 report, several reports were published stating the unjustified
expectations of the economic impact of 'Industry 4.0' ("The backstage of Davos," 2018). For example, direct
measurements of the multifactor productivity in both the United States and the United Kingdom have shown that the
productivity has grown only a 0.3 % while the previous technological revolutions increased the productivity by 2% per
year. It infers that the new technologies do not provide a sufficient level of value for goods and services both in terms of
consumption as well as cost.
Humanities & Social Sciences Reviews
eISSN: 2395-6518, Vol 8, No 4, 2020, pp 483-495
https://doi.org/10.18510/hssr.2020.8447
484 |https://giapjournals.com/hssr/index © Salimova
The World Bank introduced the concept of digital business to create new business models by bridging the gap between
digital and physical worlds by bringing people, businesses and things together ("The backstage of Davos," 2018). At the
same time, organizations which rely on data captured by them are transformed into organizations which are guided by
their own data. According to Scalabre (n.d.), chief partner and managing director of Boston Consulting Group (BCG), the
fourth industrial revolution is a transformation that allows the collection and analysis of machine data which results in
providing speed, flexibility and efficiency to the high-quality products at lower costs. This industrial revolution is set to
create conditions for increasing labor productivity, serve as a stimulus for economic growth, change the economy and the
profile of the labor force, and increase the competitiveness of companies and regions (Scalabre, n.d.; Vitik et al., 2016;
Brinza et al., 2015). Despite this, the governmental programs and strategies for the development and promotion of
digitalization of national economies and industrial sectors have already been developed and implemented in dozens of
countries across the globe. According to the official data published by the European Commission in the year 2017, there
were more than 30 national and regional initiatives on industrial digitalization only in the European Union. For example,
Germany, back in 2011, officially presented her national strategy called 'Industrie 4.0' as well as several other strategies
and initiatives of a similar profile and focus (Xu et al., 2018). In Russia, the program' Digital Economy of the Russian
Federation' was approved by the government order No. 1632-R by the Russian Federation dated July 28, 2017. The fourth
industrial revolution, although it is yet to have a significant impact on labor productivity on an international scale, it still
radically changed the nature of products and services, which no longer reflects the diversity of intangible value
propositions offered to the customer. As a result of the cumulative impact of the advanced Industry 4.0 technologies, there
are various servitization processes in progress with a change in value creation models. The WEF reports (World Economic
Forum, 2016, n.d.) suggest to use the concepts such as 'solution economy' and 'experience economy' which shift the focus
from the consumer properties of products and services to their ability in generating the benefits for the consumer, solve
their problems, offer a cognitive and emotional experience not only in the consumer market but also in the B2B
interactions too (World Economic Forum, 2016, n.d.).
'Industry 4.0' changes the content and correlation of various entities such as consumption, expectations, value, quality, and
consumer experience, which require the transformation of traditional views and approaches to quality management
(Akhmetova et al., 2019). Thus, in studying the socio-economic impacts of the fourth industrial revolution, one can
observe a combination of two trends: the emergence of a digital type of consumption and a digital type of production. As
shown in the literature (Alpackaya & Alpackiy, 2018; Novikova et al., 2016), these two trends are relevant to two main
approaches in the digital transformation on a national scale while the first is market approach, when businesses offer
consumers new digital products and services, thereby transforming their expectations whereas the second one is planned
approach, when the state stimulates and regulates the digital transformation of industries to increase the competitiveness
in both digital as well as traditional markets.
The purpose of the survey is to identify the level of awareness and vision of prospects for the development of quality
management and its corresponding systems, in the context of the transition of enterprises or organizations to the
technologies of Industry 4.0.
LITERATURE REVIEW AND RESEARCH HYPOTHESIS
The fourth industrial revolution is gradually taking over all spheres of life, so the "opportunities and dangers", according
to Schwab (2017), caused by the entry into this new era, are only now beginning to manifest. Before the WEF-2018,
several published reports stated the unjustified expectations of the economic impact of "Industry 4.0" ("The backstage of
Davos," 2018). For example, direct measurements of multifactor productivity in the United States and the United
Kingdom have shown that while previous technological revolutions increased productivity by 2% per year, at this stage,
productivity is seeing only a 0.3% growth. This means that new technologies do not provide a sufficient level of value for
goods and services in terms of consumption and costs. Nevertheless, governmental programs and strategies for the
development and promotion of digitalization of national economies and industrial sectors have already been created and
implemented in dozens of countries worldwide. Only the European Union, according to the official data from the
European Commission in 2017, has seen more than 30 national and regional initiatives on industrial digitalization. For
example, Germany officially presented a national strategy called Industrie 4.0, as well as several other strategies and
initiatives of a similar profile and focused back in 2011 (Xu et al., 2018). In Russia, the "Digital Economy of the Russian
Federation" program was approved by the order of the government of the Russian Federation with No. 1632-R on July 28,
2017.
The fourth industrial revolution, although it has not yet had a significant impact on labor productivity on an international
scale, has radically changed the nature of products and services and no longer reflects the diversity of intangible value
propositions offered to the customer. As a result of the cumulative impact of advanced Industry 4.0 technologies,
servitization processes and a change in value creation models have been observed. The WEF reports (World Economic
Forum, 2016, n.d.) allude to the concepts of "solution economy" and "experience economy," which shift the focus from
the consumer properties of products and services to their ability to generate benefits for the consumer, solve the
consumer's problems, and offer a cognitive and emotional experiencenot only in the consumer market but also in B2B
interactions (World Economic Forum, 2016, n.d.). Thus, studying the fourth industrial revolution's socio-economic
impacts, we can observe a combination of two trends: the emergence of the digital form of consumption and a digital form
Humanities & Social Sciences Reviews
eISSN: 2395-6518, Vol 8, No 4, 2020, pp 483-495
https://doi.org/10.18510/hssr.2020.8447
485 |https://giapjournals.com/hssr/index © Salimova
of production. As shown in work by Alpackaya and Alpackiy (2018), these two trends are relevant to two main
approaches to the digital transformation on the national scale: the market approach, when businesses offer consumers new
digital products and services, thereby transforming their expectations, and the planned approach, when the state stimulates
and regulates the digital transformation of industries to increase competitiveness in both digital and traditional markets.
The following features of the digital form of consumption are considered in works (Krubasik et al., n.d.; Ryynänen &
Hyyryläinen, 2018; Belk, 2013):
The transition from the concept of "product ownership" to the concept of "access to products on demand." The essence
of the concept is the value of the product or service, unique for each individual consumer as a result of his or her
experience. Based on the research presented in work (Vargo & Lusch, 2004), it can be argued that an organization
does not have the opportunity to create such an experience and customer value in advance; it can only offer customers
the conditions for creating it and the subsequent formation of a value proposition.
The Diffusion of shared and multi-homing consumption, with the simultaneous use of products from several
competitors. Digital products and digital solutions have a network effect: their value increases with the increasing
number of users.
Hyper personalization of products. This means creating value together with the consumer at the time of a product's
use, in conjunction with other services and solutions, which leads to a new phenomenon: mass customization, based on
a combination of previously incongruous types of production (mass and individual).
They were changing consumer properties of digital products and services, usually associated with the generation and
circulation of information, data, and knowledge, which lead to the transfer of qualitative and quantitative properties of
information to products and services. Diffusion of expectations. Across various sectors, so modern organizations
compete not only within one industry but also with leading digital service providers, forming consumer expectations
about the quality of life in general.
As part of the review of digital production trends in the era of the fourth industrial revolution, we study its distinctive
characteristics, the degree to which "Industry 4.0" technologies have penetrated different types of production and different
stages of the life cycle of products and services, as well as their impact on the production system (Xu et al., 2018;
Westerman et al., 2014; Yin et al., 2018; Shin et al., 2018; Závadská & Závadský, 2018; Kiel et al., 2017; Tishina et al.,
2017; Vlasov et al., 2018). Currently, information on the degree of integration of "Industry 4.0" technologies in industry
and services is being accumulated, and attempts to predict the further transformation of production and management
systems are being made. The concept of cyber-physical systems is being developed, as well (Xu et al., 2018). A model
was proposed by (Tarassov, 2019) to assess the digital maturity of the business on the basis of nine elements, which were
identified by a survey of 157 CEOs of companies with a turnover of at least $ 1 billion. They are grouped into three
transformation groups: consumer experience, operational processes, and business models (Westerman et al., 2014).
Akberdina et al. (2018) propose a model of the industry digitization process which consists of five stageshow and for
what the data are used. The five stages are as follows: primary information and communication digitization; electronic
data exchange with external partners; use of specialized software; production of information and communication
technologies and equipment; use of robots and sensors.
"Industry 4.0" changes the content and correlation of categories of consumption, expectations, value, quality, and
consumer experience, which requires the transformation of traditional views and approaches to quality management. The
paper (Krubasik et al., n.d.) presents the results of a survey of 50 leading experts in the field of quality and managers of
large industrial companies, in which 40 % of respondents noted that the standard methods of quality management
significantly reduced their efficiency. At the same time, 48 % of respondents indicated the increased importance of quality
management problems over the past 10 years.
Amid the transition to the technologies of "Industry 4.0," prospects for the development of quality management systems
(and quality management in general) are the subject of research by scientists and specialists representing various fields of
study. The analysis of these works showed that opportunities and challenges for quality managementwhich carries the
fourth industrial revolutionhave already been identified (Kiel et al., 2017; Zaidin et al., 2018; Foidl & Felderer, 2016).
New conceptual approaches to the definition of quality have also been offered (LNS Research, 2017; Park et al., 2017),
and discussion surrounding the content of quality management principles in the digital age is underway (Park et al., 2017;
Sader et al., 2017). The transition from understanding total quality management as a functional area of management to the
recognition of quality management as a management paradigma basis of business strategyhas been completed
(Anupama, 2018; Dahlgaard-Park et al., 2018). In the papers (Zaidin et al., 2018; Foidl & Felderer, 2016), the
opportunities brought by Industry 4.0 are divided into three groups: strategy, operations, and environment, and people.
Quality improvement is part of operation management.
Rethinking the key concepts of quality management led to the fact that in 2017, B. Pederson introduced the concept of
"quality 4.0" (LNS Research, 2017), and Park et al. (2017) introduced the concept of "open quality". In the international
standard ISO 9000: 2015 "Quality management Systems. Fundamentals and Vocabulary," the concept of quality is related
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to the satisfaction of the needs of stakeholders and is defined as the "degree to which a set of inherent characteristics of an
object fulfills requirements" (International Organization for Standardization, 2015). It should be stated that the
stakeholders theory, sustainable development and the quality management concept orients organization to identify its
stakeholders, understand their needs and manage the relevant relationships (Salimova, et al.2014). Quality 4.0 includes the
digitalization of quality management systems and conformity assessment, focusing not only on the application of
technology in the organization, but also on improving culture, collaboration, and leadership through the use of technology.
The content of the term "open quality" is associated with the implementation of a new quality strategy, when all quality of
any product or service is created, produced, promoted, and implemented on the basis of an open and transparent approach
for different stakeholder groups (Park et al., 2017; Eddelani et al., 2019; Yakhneeva et al., 2020). The definitions of
quality 4.0 and open quality reflect the development of two trends: digitalization of production and digitalization of
consumption. Integrating these interrelated phenomena, we propose to define quality 4.0 as the adaptive ability of an
object at all stages of the life cycle to meet the needs of a particular consumer on the basis of partnership with
stakeholders and digital management of the value chain (data-driven value chain management). At the same time, the
object is understood as a broad result of activity, including products, services, projects, and digital solutions. Adaptability
is regarded as a set of customized characteristics of the object, open to change in accordance with the requirements of a
particular consumer. In the context of mass customization, characteristics of products, services, and digital solutions must
be adaptive, not standard. "Embedded" quality is transformed into "customizable."
Considering the need for a radical change of management paradigm, instant response to changes in the business
environment, consumer demands, risks of destruction of traditional organization structures and value chains, as well as the
blurring of boundaries between traditional industries and other challenges of the fourth industrial revolution, the concept
of quality 4.0 reflects the total digitalization of all components of the organization's quality management system
(organizational management structure, processes, and documented information, resource management, etc.).
The research hypothesis is that the quality 4.0 concept focuses on the transition to a new quality level of management and
organizational activities through the introduction of technology. To test the hypothesis, we use the theoretical ideas about
the essence and principles of the Quality 4.0 concept and further verify it through an expert survey.
Park et al. (2017) presented the analysis of changes in the goals and strategies of quality management in the transition to
the fourth industrial revolution, which in 2018 was supplemented in the work of Salimova and Vatolkina (2018) with
analysis of changes in the definitions of quality and approaches to management (Table 1).
Table 1: Transformation of approaches to quality management
Industrial
Revolution
Operation
Strategy
Quality Concept
Quality
Management Goal
Approach to
Management
Quality
Management
Strategy
4.0
Mass
customization
and
personalized
production
system
The ability to
anticipate and meet
the needs of
customers, taking
into account the
interests of other
stakeholders
The anticipation of
expectations of
customers and other
stakeholders
Responsible
quality
management
Partnership
shared values,
accountability
3.0
Lean production
Quality as
requirement
conformity
Customer satisfaction
with the cost-
efficiency
Quality
Management
Innovation,
efficiency
2.0
Mass
production
Quality as a set of
product properties
Minimization of
defects
Quality assurance
Audit,
standardizatio
n
1.0
Factory
production
Quality as
synonymous of
excellence
Sorting of products
Quality control
Inspection
In the paper (Salimova & Vatolkina, 2018), quality 4.0 is based on eliminating the gap between the requirements of
consumers and the properties of products, which arises due to the need to adapt mass products to the individual needs of a
person or organization. The introduction of innovative methods of quality management should be accompanied by a
radical transformation in its paradigm and principles regarding the enterprise or organization. Since the 1990s, new
approaches in management have been emerging: talent management, value-based management, and sustainable
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eISSN: 2395-6518, Vol 8, No 4, 2020, pp 483-495
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development management. However, they are still disintegrated, which makes it difficult to form a new management
paradigm that meets the challenges of the fourth industrial revolution. These challenges create prerequisites for rethinking
the principles of quality management (International Organization for Standardization, 2015). The paper (Sader et al.,
2017) summarizes the contributions of Industry 4.0 in the implementation of quality management principles, such as
improved responsiveness, high coordination among all levels of the organization, effective evaluation for results, active
dynamic interaction with market needs, instant re-configuration of production processes, rich information and analytics
dashboards, etc. Based on the literature review, we offer the transformation of quality management principles as
fundamental rules of doing business today (Table 2).
Table 2: Transformation of the principles of quality management in the transition to the technologies of Industry 4.0
Name
Characteristics
Shared Leadership
The transition from individual to team leadership, when the
responsibility for quality is distributed among all team members on the
basis of voluntary involvement
Talent Management
Use and development of talent in order to create value for all
stakeholders, which are the main object in personnel management
(serves as the basis for identifying and developing leaders and
implementing the principle of shared leadership)
Customers' Engagement in Value
Creation
Attracting consumers to actively participate in creating value as a full
member of the production system
Project management & networking
Moving from a value chain to a value network
Management of Data & Innovation
Real-time management decisions, flexibility, and adaptability of all data-
driven organization structures focus on continuous improvement
Capacity Building Through
Partnerships with Stakeholders
Organizational capacity building based on attracting value to an open
network of partners and stakeholders
Value-Based Management
The use of key values for the organization of universal values
Responsibility for a Sustainable
Future
Focus on sustainable development: economic, environmental and social
responsibility for the consequences of activities
METHODOLOGY
The importance and complexity of the problems with regards to the transformation of Quality Management Systems
(QMS) among Russian enterprises and organizations in the digital era prompted a survey to be conducted in April - May
2019 among the expert community in the field of quality management as a part of the current study. A total of 50 experts
participated in the survey representing enterprises and organizations of various industrial sectors (Table 3): heads of
quality services in Russian enterprises and organizations; experts in the field of QMS; heads of departments who create
and implement the organizational strategies. The regional sample of respondents included the representatives of the cities
of Moscow and St. Petersburg along with the constituent entities of the Russian Federation: the Republic of Mari-El, the
Republic of Mordovia, the Republic of Tatarstan, the Chuvash Republic, Krasnodar Territory, Izhevsk, Nizhny Novgorod,
Penza, Samara, Tver, and Ulyanovsk Regions.
Table 3: Distribution of the respondents by the scope of activity, %
Total
%
6
12
8
16
2
4
2
4
2
4
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4
8
3
6
8
16
9
18
6
12
50
100
Source: Elaborated by Authors
The survey was conducted using the Google docs service. Big Large business was represented by 26% of experts followed
by medium business - 54% and 20% small business experts. The survey was organized in accordance with the stages of
'the Deming Plan-Do-Check-Act cycle' which was chosen based on its versatility and the possibility of application in
various industries and fields of activity including the conduct of this study (Deming, 1986). This allowed the authors to
clearly structure the goals and objectives of the study, plan and organize the study, monitor its implementation, and also
suggest recommendations from on the results obtained (Figure 1).
PLAN
Setting goals and objectives of the study; preparation
of a research program; expert selection and
communication
DO
Conducting an online survey of experts; expert advice
ACT
Bringing the results of the study to the attention of
experts for their use in practice
CHECK
Generalization and analysis of research results;
drawing conclusions
Figure 1: Stages of a study based on the Deming cycle
In the planning stage (PLAN), a goal was determined and specific tasks were formulated to assess the prospects for the
development of QMS in Industry 4.0 conditions. Based on the goals and objectives, a research program was conducted
with a questionnaire for respondents. Next, a group of experts was selected to participate in the survey, and negotiations
were held with them. When selecting the representatives of the expert community, one should be guided by the presence
of a QMS in place at the enterprise or organization, as well as the willingness of enterprises and organizations to make
changes that will cause the transition to the Industry 4.0 technologies. The developed questionnaire included 15 questions
that were conditionally divided into the following groups:
Focus on the implementation of key provisions of Industry 4.0 in the current development strategy;
The importance of quality management in implementing the development strategy,
Practical application of innovative Quality Management Methods specific to the fourth industrial revolution;
Transformation of the QMS, methods, and principles of quality management in the context of the transition to Industry
4.0 technologies;
The impact of ongoing changes on organizational culture.
At the stage of the study (DO), the questionnaire was sent to the experts and consulted on how to fill it up. The
information was collected directly from the areas of the study. At the stage of analysis (CHECK), the results of the
questionnaire were summarized, systematized according to the selected groups of questions and individual questions, and
the obtained data were evaluated. In conclusion (ACT), the results of the questionnaire were brought to the attention of
experts in order to develop recommendations for their use in the transformation processes related to QMS and the
activities of the organization as a whole. It was supposed to receive feedback from the experts about how the results can
be used in the practical activities of enterprises and organizations that participated in the study.
RESULTS AND DISCUSSION
In the course of the study, the respondents were asked to characterize the degree of reflection in the current development
strategy of organizations that focus on key priorities of 'Industry 4.0'. 52% of respondents noted that the strategy
implemented in their organization is based on existing experience and technological structure and is not focused on new
Humanities & Social Sciences Reviews
eISSN: 2395-6518, Vol 8, No 4, 2020, pp 483-495
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technological challenges. A total of 44% respondents indicated that the key priorities of Industry 4.0 are reflected in the
current strategy whereas only 4% of the experts, representing military-industrial complex and banking sector enterprises,
noted that the strategy of their enterprises and organizations is based on the priorities and technologies of Industry 4.0.
The high importance of quality management as a key priority of the implemented development strategy was noted by 82%
of the respondents though 46% of them indicated that the provisions of quality management, despite the great importance
in ensuring competitiveness and sustainable development, are not reflected in the strategies implemented in their
organization. 32% of the respondents intend to step up activities in the field of quality management in a five-year
perspective, including the forthcoming challenges of the fourth industrial revolution. According to 26% of the experts, the
organizations that they represent are constantly enhancing the approaches in quality management. A majority of the
respondents (64%) agreed that, in the context of the transition to Industry 4.0 technologies, there is a growing importance
to solve the quality management problems. Though 20% of the representatives of organizations agreed with this
statement, they emphasized that they did not expect significant changes in quality management processes. The
interviewed experts identified the most significant trends (no more than three) that impact the practice of quality
management in enterprises or organizations (Table 4).
Table 4: The most significant trends affecting the quality management practice identified by the respondents
Trend
Respondents, %
Globalization of economy
64
Digitalization of the economy, increasing transparency of economic processes
54
The growing complexity of products/services
50
Focus on innovation
48
Shortening the life cycle of products on the market
32
The increasing importance of environmental issues
24
As can be seen from Table 4, the key trends that have a significant impact on the practice of quality management,
according to the interviewed experts, are globalization and digitalization of the economy, increasing transparency of
economic processes, the complexity of products and services, and focus on innovation. The composition of respondents in
terms of the level of formation of management systems remained interesting. Close to 46% of the enterprises and
organizations that participated in the survey implemented and certified QMS according to the requirements of the ISO
9001 standard of 2015 whereas 12% organizations had a certified integrated management system (mainly enterprises that
represent the food industry) whereas 6% were certified according to the requirements of the national standard GOST RV
15.0022012, 'System for the development and production of products for the production of military equipment. Quality
Management Systems. General requirements'. In the rest, 16% were developing QMS while 18% do not have a formalized
QMS and 2% of the enterprises and organizations that participated in the survey comply with the provisions of the
international standard ISO 18295-1: 2017 'Customer contact centers - Part 1: Requirements for customer contact centers'.
The data presented confirm that the formation of QMS according to ISO 9001 standard remained the most popular and
attractive approach used by enterprises and organizations worldwide. According to the ISO survey 2017 (International
Organization for Standardization, 2017), the number of certified QMS in 2017 exceeded one million. The representatives
of the majority of organizations surveyed (62%) believe that the role played by QMS in fourth industrial revolution
conditions will increase, since the system is a mechanism to ensure total transparency and integration of processes,
including the processes of interaction with consumers and other groups of stakeholders on quality issues. The invariable
role played by QMS was indicated by 20% of respondents who believed that the system fulfills its role to the full whereas
12% noted that in fourth industrial revolution conditions, the development of QMS is not a priority and finally 6% of the
participants found it difficult to answer.
During the study, the participants were asked to provide their opinion in identifying the systems that make up quality
management and are fundamentally transformed in the first place according to the digitalization challenges. At the same
time, the expert was able to note down several such components (Table 5).
Table 5: Elements of a Quality Management System that will fundamentally transform in the conditions of Industry 4.0 in
the first place, distribution of answers, % (the respondents could choose several items)
Element
Respondents, %
Stakeholder Engagement
50
Planning, including risk management
48
Quality management of product and service life cycle processes
40
Leadership at all levels of organization management
38
Exchange and management of quality data
36
Means and methods of quality assurance
24
Organization Performance Assessment
14
Improvement
10
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As can be seen from Table 5, the respondents predominantly expected functional changes associated with the
transformation of approaches and models of interaction from both external as well as internal environments. These
changes mandate the usage of innovative quality management methods based on the technologies of the fourth industrial
revolution. A list of the most significant methods and technologies that can be used for quality management in the
transition to 'Industry 4.0' was also determined. The respondents were asked to indicate the innovative methods of quality
management that are already applied to the enterprise or organization and are planned for use in the next 3-5 years (Table
6).
Table 6: Distribution of answers on the application of innovative methods of quality management (the respondents could
choose several answers)
Answer
Apply,
%
Plan to
apply, %
Real-time customer feedback
40
55.1
Big Data Analysis of Quality
18
36.7
"Open quality", when all quality characteristics of any product are created, produced,
promoted and implemented on the basis of an open and transparent approach for various
stakeholders
26
30.6
Remote technologies (diagnostics, maintenance, training, communications)
38
26.5
The use of 3D modeling to improve the quality of processes of design, production,
installation, and maintenance of products
10
14.3
Blockchain
8
14.3
Internet of Things, IoT
8
14.3
Virtual Supply Chain Quality Management
2
12.2
Integration of all quality management functions through artificial intelligence
6
10.2
Systems engineering based on integrated design of technical systems and software according
to customer requirements
12
8.2
Autonomous robots
2
An analysis of the responses showed that almost one-third of the organizations (28%) currently do not use innovative
methods of quality management. In organizations that use these methods, the most popular was real-time feedback from
consumers and remote technologies, which confirms the priority of changes in interaction with stakeholders. These
methods are leading in the survey results conducted among 50 leaders of European industrial companies as given in the
literature (Krubasik et al., n.d.). When these two methods are used, it can bring the greatest benefit to the organization. So,
88% of the respondents representing European companies expect to receive benefits from the activation of consumer
feedback in real-time and 86% from the introduction of remote technologies. At the same time, only a small number of
representatives belonging to Russian organizations who participated in the study used 3D modeling, blockchain
technology, and artificial intelligence, the Internet of things, autonomous robots and virtual quality management tools.
Despite the high diffusion rate of these technologies, not more than 15% of organizations plan to use it for the next 3-5
years.
The most important condition for an effective transformation of QMS in the digital age is the organizational culture,
which ensures the harmonization of personnel actions and the application of technologies (Akhmetshin et al., 2018).
Therefore, the respondents were asked about the role played by organizational culture in the conditions of the fourth
industrial revolution. A total of 78% of respondents assured that the role played by organizational culture is set to increase
whereas 18% of respondents believed no impact in this regard and only 4% noted a decrease in the culture of the
enterprise or organization. The growing importance of organizational culture is associated with a change in the principles
of quality management. In the literature (Salimova & Vatolkina, 2018), the necessity to transform the principles of quality
management based on the challenges of the fourth industrial revolution was mentioned. The study revealed an expert
opinion on this transformation (Figure 2). The respondents could choose several principles. Figure 2 shows the answers of
the experts as a percentage. The experts consider the key principles of the organization to be the attraction and retention of
talents, the transition to the project and network approaches to management (the transition from the value chain to the
value network) and partnership with stakeholders. The significant importance, according to the respondents, will be the
involvement of consumers in value creation, shared leadership, value-based management, as well as responsibility for the
future. It was shown in the literature (Kuei & Lu, 2013) that all the principles of Total Quality Management are related to
Sustainable Development and the term 'quality-driven sustainable development' is introduced. The current study also
showed that six of the eight principles, reflect the responsible behavior of the organization in relation to its employees,
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consumers, partners, and society as a whole, which should aim for modern enterprises and organizations to create
responsible quality management. Thus, it is possible to define responsible quality management as a coordinated
partnership of various groups of stakeholders to create products and services. This should meet the open quality (quality
4.0) standards-based on shared responsibility for management decisions in the interests of ensuring sustainable
development.
Figure 2: Distribution of answers about the most significant principles of Quality Management for organizations in the 3-
5 years perspective, % (the respondents could choose several answers)
Source: Elaborated by Authors
We performed the analysis of correlation according to the criterion of consent χ2 Pearson on key aspects of the study. This
criterion is used to assess the significance of the differences between the actual (revealed as a result of the study) number
of outcomes or qualitative characteristics of the sample falling into each category, and the theoretical number that can be
expected in the study groups with the validity of the null hypothesis (Grzhibovsky, 2008).
The value of the criterion χ2 was calculated using the formula:
(1)
where i is the row number (row, from 1 to r), j is the column number (from 1 to c), Oij is the actual number of
observations in cell ij, Eij expected number of observations in cell ij of the contingency tables.
The Cramer V criterion is used to estimate the tightness of the relationship between nominal variables:
(2)
Research on the relationship between respondents 'responses to the following questions: "Is quality management a priority
in Your organization at the moment?" and "Whether, in Your opinion, the role of the QMS will change in the conditions
of the Fourth industrial revolution" assumes the construction of the conjugacy table (Table 7) and the table of expected
quantities of observations (Table 8).
Table 7: Conjugacy table
А1*
А2
А3
Total
В1
13
16
2
31
В2
4
4
2
10
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В3
0
3
3
6
В4
1
0
2
3
Total
18
23
9
50
*A1 «Yes, quality management is a key priority of our organization's strategy»
A2- «In general, yes, but quality management is not formalized as the strategy»
A3 «No»
B1 «The importance of the QMS will increase, since it is a mechanism for ensuring total transparency and integration of
processes, including processes of interaction with consumers and other groups of stakeholders on quality issues»
B2 «It will not change, since the QMS is already fulfilling its role»
B3 «It will decrease because in the conditions of the fourth industrial revolution, the development of QMS is not a
priority»
B4 «Other»
Table 8: Expected quantities of observations
А1
А2
А3
В1
11.16
14.26
5.58
В2
3.6
4.6
1.8
В3
2.16
2.76
1.08
В4
1.08
1.38
0.54
The found value of the criterion χ2 = 13.885 exceeds the critical value (12.6), therefore, based on the application of the
criterion χ2 Pearson null hypothesis about the absence of a statistical relationship between the studied features can be
rejected at a significance level of 5%. The calculated Kramer criterion V (V = 0.215) shows the average strength of the
relationship. 70% of the companies surveyed, for whom quality management is a priority in the organization's strategy,
believe that the role of the QMS in the Fourth industrial revolution will increase, since the QMS is a mechanism for
ensuring total transparency and integration of processes, including processes of interaction with consumers and other
groups of stakeholders on quality issues.
When identifying the relationship between the answers to the questions "Is quality management a priority in your
organization at the moment?" and "Will the role of quality culture change in the fourth industrial revolution?" we also
obtained a significant (average) strength of the relationship (χ2 = 19.566, χ2kr = 12.6, V = 0.255).
Organizations for which quality management is a key priority of the strategy believe that the role of quality culture in the
conditions of the fourth industrial revolution will increase.
We see an interesting result when comparing the answers to the questions "Does your organization plan to increase the
focus on the development of quality management in the next 3-5 years?" and "Do you agree with the statement that in the
transition to the Fourth industrial revolution, the importance of quality management problems increases?". Although the
relationship is lower than average (χ2 = 22.316, χ2kr = 16.9, V = 0.161), we see that 76% of organizations that are
constantly improving approaches and methods of quality management, and plan to significantly strengthen the work in the
field of quality management absolutely agree that in the transition to the Fourth industrial revolution, the importance of
quality management issues increases and this is due to the transformation and integration of the processes of creating
products and services.
The study revealed that the digital transformation of modern organizations and QMS are inevitable objective processes
that should be reflected in the organizational development strategy as well as in the implemented approaches to quality
management, elements, and processes of QMS resulting in the transformation of quality concept. The concept of 'open
quality' or 'quality 4.0' is defined as the adaptive ability of products or services, at all stages of the life cycle, to satisfy the
needs of a specific consumer through partnerships with stakeholders and digital management of the value chain. Quality
4.0 is based on bridging the gap between consumer requirements and product properties which arises due to the need to
adapt mass products to meet the individual needs of a person or organization, on the transition to mass customization, as
shown in the literature (Ceylan et al., 2018), and reducing the customer sacrifice (Porterfield & Ferguson, 2012).
The following principles of quality management may become key areas in the new conditions: shared leadership;
attracting and retaining talent; involving consumers in value creation; transition to project and network management
approaches; organization capacity building through partnerships with stakeholders; value-based management and
responsibility for a sustainable future. Simultaneously, QMS, as an instrument of the global market, is called upon to
become a driver that integrates digital technologies and the principles of the new management paradigm. The empirical
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study results based on the survey of managers and specialists in the field of quality management showed that the
development strategies of most of the surveyed enterprises and organizations were not yet focused on the changes that are
taking place. A significant section of the respondents confirmed that the importance of solving quality management
problems is increasing. At the same time, more than half of the respondents indicated that the globalization of the
economy, digitalization, growing transparency of the processes that take place in the society, and the growing complexity
of the products or services are the most significant trends that affect the practice of quality management. The
representatives, from the majority of the enterprises surveyed, confirmed the hypothesis that the role of the Quality
Management System in the conditions of Industry 4.0 is increasing as a mechanism to ensure transparency and integrated
processes. There is a significant correlation between the current role of the QMS in the organization and the perception of
its importance in the future. Hence, 76% of organizations that are constantly improving approaches and methods of
quality management, and plan to significantly strengthen the work in the field of quality management absolutely agree that
in the transition to the Fourth industrial revolution, the importance of quality management issues increases and this is due
to the transformation and integration of the processes of creating products and services. The respondents identified talent
attraction and retention as a key principle of quality management.
CONCLUSION
This study aims to examine the level of awareness and vision of prospects for the development of quality management and
its corresponding systems in the era of transition to the technologies and principles of Industry 4.0 among quality
management professionals of Russian companies. The results of the study found that despite the confirmation about the
importance of using innovative methods of quality management and digital technologies, it has been revealed that this
process involves above all, the transformation of managerial thinking itself. All transformational processes are focused on
human beings as the core element of production and consumption systems. It means that transition to Quality 4.0 calls for
the new understanding of stakeholders relationships and responsibilities, the transformation of core principles underlying
decision-making in companies, and not only implementation of Industry 4.0 technologies for quality improvement.
LIMITATIONS AND STUDY FORWARD
The limitation of this study lies in the small scope of the research location, which only sees the case of a limited number
of Russian companies and does not cover all types of industries.
As a direction for further research, it is planned to hold focus groups with experts in the field of quality with various
objectives such as to study the development directions of a systematic approach to quality management in the era of the
introduction of Industry 4.0 technologies, to develop recommendations for the implementation of Quality Management
Systems in enterprises and organizations that use these technologies and the cascading tasks to integrate the proposed
principles of quality management with existing integrated management systems. The authors of this paper plan to conduct
an additional expanded survey with an increase in the number and composition of study participants, as well as to develop
tactics for disseminating its results. Back in the mid-1970s, the American writer and thinker Pirsig (2006) noted that "the
quality that creates the world arises as a relationship between a person and his experience".
ACKNOWLEDGEMENT
The reported study was funded by RFBR, project number 19-010-00968 «Methodology and tools of digitalization of
quality management of the education system, and ensuring sustainable development of economic agents».
CO-AUTHORS CONTRIBUTION
The first author is the leader of the research project. She contributed with the formulation of the research hypothesis and
conceptualization of the paper, prepared research methodology, participated in survey design and discussion of survey
results, made final review and editing of the paper.
The second author contributed with the literature review and participated in the writing of a paper draft. She participated
in the discussion of survey results.
The third author contributed to survey design, data collection, and formal analysis, discussion, and visualization of survey
results.
The fourth author contributed with correlation analysis, discussion of survey results, and final conclusions of the research
paper.
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https://doi.org/10.1080/14783363.2018.1444474
... Por su parte, los investigadores Salimova et al. (2020), afirman que el concepto de Q4.0 se define como la capacidad de adaptación de los productos o servicios en todas las etapas del ciclo de vida. Ello se realiza para satisfacer las necesidades de un consumidor específico a través de alianzas con las partes interesadas y la gestión digital de la cadena de valor. ...
... A través de una encuesta a empresas rusas, Salimova et al. (2020) verifican los cambios en las herramientas y conceptos de calidad y aseguran que se requieren cambios en los conceptos básicos de ésta. Además, los autores Petcharit et al. (2020) han investigado los factores que impactan en la TQM y aseguran que la planificación estratégica y la influencia de la calidad del producto en los cambios de la TQM realizados por la I4.0 están haciendo que los procesos queden obsoletos. ...
Thesis
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El entorno industrial ha cambiado sustancialmente durante los últimos años debido a la introducción de nuevos conceptos y tecnologías basados en la 4ta Revolución Industrial. La demanda del mercado se ha sofisticado y las empresas buscan agregar valor para diferenciarse, desde la concepción de una idea hasta el final de la vida útil del producto o servicio brindado. La gestión del ciclo de vida del producto es una de las estrategias utilizadas por los fabricantes para mejorar el desempeño operacional, a través de una combinación de organización, procesos, metodología y tecnología, permitiendo a las empresas agregar valor a sus productos y servicios, obteniendo, de ese modo, una ventaja competitiva. Debido a esto es de vital importancia una Gestión de la Calidad integral, tanto del proceso como del producto, a lo largo de todo el ciclo de vida del flujo de valor, en tiempo real y con información disponible para todos los involucrados en la manufactura y comercialización. Se aborda en la presente Tesis Doctoral el estudio del impacto de las tecnologías habilitadoras de la Industria 4.0 en la Gestión de la Calidad a lo largo de todo el ciclo de vida del flujo de valor, incluyendo tanto los procesos como los objetos inteligentes; esta es la denominada Gestión de la Calidad 4.0. Para ello, luego de una extensa revisión bibliográfica, se han realizado 3 estudios cuantitativos a saber: (1) Estado actual de la Industria 4.0 en la Argentina; (2) Barreras de entrada a la Industria 4.0 en la Argentina y (3) Calidad 4.0 en la Argentina. Se han analizado también 3 casos de estudio de la industria manufacturera argentina representativos de algunos de los distintos usos de las nuevas tecnologías habilitadoras en la industria. Para todo lo anterior se ha realizado también entrevistas en profundidad previas a las encuestas.
... The concept of Quality 4.0 is also associated with a set of supporting tools: artificial intelligence; big data; blockchain; machine learning; enabling technologies, deep learning and data science (Arsovski, 2019). Salimova et al. (2020) emphasize that Q4.0 can be defined as the adaptive capability of a product at any stage of its life cycle, considering customer needs and the interests of other stakeholders throughout the value chain. Javaid et al. (2021) argue that Q4.0 corresponds to the increasing digitization of the industry, utilizing advanced technologies to enhance the quality of products and services. ...
Article
Purpose In the context of the journey toward digital transformation and the realization of a fully connected factory, concepts such as data science, artificial intelligence (AI), machine learning (ML) and even predictive models emerge as indispensable pillars. Given the relevance of these topics, the present study focused on the analysis of customer complaint data, employing ML techniques to anticipate complaint accountability. The primary objective was to enhance data accessibility, harnessing the potential of ML models to optimize the complaint handling process and thereby positively contribute to data-driven decision-making. This approach aimed not only to reduce the number of units to be analyzed and customer response time but also to underscore the pressing need for a paradigm shift in quality management. The application of AI techniques sought to enhance not only the efficiency of the complaint handling process and data accessibility but also to demonstrate how the integration of these innovative approaches could profoundly transform the way quality is conceived and managed within organizations. Design/methodology/approach To conduct this study, real customer complaint data from an automotive company was utilized. Our main objective was to highlight the importance of artificial intelligence (AI) techniques in the context of quality. To achieve this, we adopted a methodology consisting of 10 distinct phases: business analysis and understanding; project plan definition; sample definition; data exploration; data processing and pre-processing; feature selection; acquisition of predictive models; evaluation of the models; presentation of the results; and implementation. This methodology was adapted from data mining methodologies referenced in the literature, taking into account the specific reality of the company under study. This ensured that the obtained results were applicable and replicable across different fields, thereby strengthening the relevance and generalizability of our research findings. Findings The achieved results not only demonstrated the ability of ML models to predict complaint accountability with an accuracy of 64%, but also underscored the significance of the adopted approach within the context of Quality 4.0 (Q4.0). This study served as a proof of concept in complaint analysis, enabling process automation and the development of a guide applicable across various areas of the company. The successful integration of AI techniques and Q4.0 principles highlighted the pressing need to apply concepts of digitization and artificial intelligence in quality management. Furthermore, it emphasized the critical importance of data, its organization, analysis and availability in driving digital transformation and enhancing operational efficiency across all company domains. In summary, this work not only showcased the advancements achieved through ML application but also emphasized the pivotal role of data and digitization in the ongoing evolution of Quality 4.0. Originality/value This study presents a significant contribution by exploring complaint data within the organization, an area lacking investigation in real-world contexts, particularly focusing on practical applications. The development of standardized processes for data handling and the application of predictions for classification models not only demonstrated the viability of this approach but also provided a valuable proof of concept for the company. Most importantly, this work was designed to be replicable in other areas of the factory, serving as a fundamental basis for the company’s data scientists. Until then, limited data access and lack of automation in its treatment and analysis represented significant challenges. In the context of Quality 4.0, this study highlights not only the immediate advantages for decision-making and predicting complaint outcomes but also the long-term benefits, including clearer and standardized processes, data-driven decision-making and improved analysis time. Thus, this study not only underscores the importance of data and the application of AI techniques in the era of quality but also fills a knowledge gap by providing an innovative and replicable approach to complaint analysis within the organization. In terms of originality, this article stands out for addressing an underexplored area and providing a tangible and applicable solution for the company, highlighting the intrinsic value of aligning quality with AI and digitization.
... By adapting the traditional quality methods and models, Quality 4.0 (Q4.0) shifts quality to a holistic strategy across the entire organization, embracing new technology and its users and processes to maximize value (Armani et al., 2021;Antony and Sony, 2023). The synergy between quality management practice and technological tools allows organizations to take advantage of Big Data collected in real-time, implement innovative processes and products whose adaptive capacity ensures superior quality and performance and, consequently, customer satisfaction and stakeholder interest across the value network (Salimova et al., 2020;Carvalho et al., 2021). ...
Conference Paper
Purpose - The last revision of the ISO 9001 standard (quality management systems) was carried out in 2015 when Industry 4.0 was still in its infancy, and the concept of Quality 4.0 was only introduced after that revision. This study aims to review the literature focusing on the suitability of ISO 9001 considering the current context of Digital Transformation (DT). The literature review intended to identify articles that discuss gaps, or outdated features of ISO 9001, or misalignments with current needs, or contributions to the debate on updating ISO 9001, or mentions of the need to update ISO 9001, or proposals for revising its requirements, or references to a future research agenda. Design/methodology/approach - A systematic literature review was accomplished using the PRISMA methodology to summarise the literature published between 2011 and 2023, available on Web of Science and Scopus. The search query was “ISO 9001” or “quality management system” and terms related to DT or synonyms. The list was imported into Rayyan software to analyse the data from the relevant literature. Findings - After using a set of predetermined inclusion and exclusion criteria, the literature review revealed few articles investigating changes or future approaches to ISO 9001 because of DT. Only less than 1% of the articles were selected with data relevant to the study. The literature has provided some insights in approximately a quarter of the articles included, but more details are needed to identify possible changes to ISO 9001. Approximately 50% of the articles identified refer to integrating ISO 9001 and Industry 4.0 as a future research agenda. Originality/value - The main topics of the articles that identified gaps, obsolescence, misalignments of ISO 9001 with current needs, contributions to discussions on updating ISO 9001, references to the necessity of its revision, and proposals for revising its requirements were sustainability, innovation, risks (especially with analytics, predictive software and artificial intelligence (AI)), Stakeholder 207 identification accompanied by objectives, measures and monitoring, dynamic inter-organisational relationships, cyber-security (data protection and security aspects), validation of quality control equipment based on AI and decision-making and problem-solving processes, including a more simplified language and writing style of ISO 9001:2015 requirements. Keywords: ISO 9001:2015, Digital Transformation, Quality 4.0, Industry 4.0
... La importancia de la calidad 4.0, de acuerdo con Rey et al. (2022) y Salimova et al. (2020), va más allá de la tecnología, pues demanda un compromiso hacia la mejora continua e innovación. Por ello, se requiere de una profunda transformación digital y del compromiso de todos los niveles organizacionales de la empresa, además de una intensa participación activa y programas de capacitación para la actualización de conocimientos y habilidades de los trabajadores. ...
Article
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El objetivo de la presente investigación es realizar una revisión sistemática de la literatura acerca de la definición de la calidad 4.0, sus elementos, las habilidades que los empleados necesitan para aplicarla y las barreras que han estado enfrentando las empresas para su puesta en marcha. Se recopilaron y revisaron cincuenta artículos obtenidos de Scopus y Google Scholar en un periodo comprendido entre el 2017 y el 2023. En primer lugar, se realizó un análisis descriptivo de acuerdo al año de publicación y las fuentes de publicación. En seguida, los artículos seleccionados fueron clasificados de acuerdo con los cuatro temas de investigación. Finalmente, este estudio contribuye a la literatura de la calidad en la que profesionales, gerentes, empresarios e investigadores puedan comprender y aplicar la calidad 4.0 a fin de mejorar la productividad y competitividad de las organizaciones.
... -Q4.0 as an integration of TQM principles with new digital technologies (new technologies as a benefi t element), primarily with evidence and data-based decision-making (Salimova et al., 2020;Zonnenshain and Kenett, 2020). ...
Article
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The concept of Quality 5.0 in management sciences has emerged relatively recently. It is an attempt to respond to the limitations attributed to Quality 4.0, which focuses on industry and the use of advanced technologies mainly in production processes. Quality 5.0 goes beyond this framework and introduces an equally strong human and social factor. The article defines the concept of Quality 5.0 in relation to quality improvement in organizations and presents the author’s conceptual model of Quality 5.0 as a sustainable concept for quality improvement. The proposed model consists of 12 attributes of Quality 5.0, divided into four categories: (1) Balanced Techno-Human Centric Management System: agile and aware leadership, real-time data decision making, continuous improvement; (2) Human: empowerment, creativity, diversity; (3) Process: integration, efficiency, flexibility; (4) Technology: analytics, connectivity, and scalability. In the Quality 5.0 model, the organization supports the Triple Bottom Line of Sustainable Development through value co-creation, problem-solving, cooperation, and innovation.
... En este orden de ideas, el uso de tecnologías como robots e impresión 3D respaldan la calidad del producto para que esté libre de defectos. De modo que la parte sustancial de la calidad 4.0 se encuentra en la calidad del diseño del producto, los tiempos de entrega, los datos y la conectividad que impactarán significativamente en la satisfacción del cliente, lo cual hoy en día es fundamental en un entorno altamente competitivo, dinámico y complejo (Baran & Korkusuz, 2022;Balouei Jamkhaneh et al., 2022;Salimova et al., 2020). ...
Article
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El presente artículo tiene como objetivo exponer en qué consiste la nueva etapa de la calidad 4.0. Para tal efecto, se realizó una revisión bibliográfica que involucró la evolución de la calidad, el concepto de calidad 4.0, las habilidades que deben desarrollar los empleados, la motivación para su implementación, las barreras que pudieran enfrentar las empresas para su puesta en marcha, y sus elementos, finalmente se exponen como las aplicaciones de las tecnologías de la industria 4.0 están transformando las prácticas de calidad tradicionales.
... While Quality 4.0 does not replace the traditional quality methods, it adapts them so that the concept of quality not only embraces the new technology but also its users and processes to maximize value (Armani et al. 2021). The combination of quality management practices with technological tools can become a critical factor for organizational success, allowing organizations to take advantage of real-time data and Big Data analytics, implement innovative products and processes successfully by incorporating emerging technologies and materials and, efficiently identify how to fulfil the needs and requirements of stakeholders and redefine them as needed ), while, due to the resulting products' and services' adaptive capacity, ensuring superior quality and performance and, consequently, increasing customer satisfaction and stakeholder interest along the value network (Dias et al. 2022;Salimova et al. 2020). Quality 4.0, supporting dynamic data-based decisions, can reduce the turnaround time to launch a product or service, leading to similarly reduced costs of redesign and rework, empowering internal and external customers with effective collaboration, connectivity, and co-creation (Dias et al. 2022). ...
Article
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The era of Industry 4.0 insists on the necessity of understanding the connection between the strategy of horizontal and vertical system integration with Quality 4.0. A key segment for the effective implementation of Quality 4.0 is the creation of an organizational system that combines vertical and horizontal integration. In the paper, an overview of the literature related to Quality 4.0 and the mentioned integration in Industry 4.0 was given, and the importance of their understanding in Industry 4.0 was pointed out. Also, the focus of the work is on pointing out advantages, challenges and presenting solutions to overcome these challenges. The motive of writing the paper lies in the fact that there is no paper in which these concepts are combined. The aim of the paper is to consolidate in one place a review of the available literature from these areas in order to achieve progress towards Industry 4.0.
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This research aims to give an alternative solution for leadership development in the public sector to face the Fourth Industrial Revolution (Industry 4.0). The development of global information technology has demanded public services to adjust to today’s technologies. The problem of this study isthe public sector leaders, who are in the majority consisting of baby boomers generation up to generation X. These generations are not too familiar with technology. Traditional training models cannot improve the competencies of leaders who are predominantly old; adult learning must be developed. They do not need competency development classes, but they need mentoring to learn directly. This is a challenge to the development of local leadership in the public sector against Industry 4.0, which is implicated in the increase of public services based on technology and network. This research uses a qualitative research approach with a case study perspective. The focus of this research is local leadership competencies in the public sector. The data aretaken from primary data by interview and secondary data from literatureanddocuments that are related to the research aims.The results of this study recommend the concept of leader-member exchange, where possible in the process of social learning, to develop public leadership in the era of Industry 4.0. Here, the challenge is the desire and ego of leaders to study with their subordinates.
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There are many business ratios analysis methods, which are used for different purposes, and the task of these methods classification remains actual business administration problem at present time. In this paper, we suggest two-dimensional classification for business ratios analysis methods. The first dimension is related to the goal of analysis – who and what for performs the business ratios analysis. Usually different real or possible participants of business process perform business ratios analysis for decision-making. There are four main real participants of the business process – owners, workers, managers, society, and two potential participants – creditors and investors. Interests of all participants of the business process are different and therefore the purposes of business ratios analysis can be different. The difference in purposes entails the difference of methods of business ratios analysis, but the common question for all participants of business processes is the question about how their interests are satisfied. The second suggested dimension for business ratios analysis methods classification is the depth of analysis and four levels of analysis are suggested here. The first level is the level of operations and such ratios as earnings (EBITDA, EBIT, EBT, EAT, RE), returns (ROI, ROA, ROE), assets (FA, CA, OF, LTL, CL, TA) are considered at this level. The second level is the financial leverage level and such ratios as Debt/Equity, Interest, Tax, ROE are considered at this level. The third level is the stock market level and such ratios as NPV, EVA, NOPAT, WACC are considered here. The fourth level of business ratios analysis is the functional level or the level of structural units. Independently on the interests of participants of business process, a company should perform such business functions as the creation of organizational structure, financial, human and material resources management, main business activity organization, marketing and others. Usually, special structural units are created in the company to perform most significant business functions, and the quantitative evaluation of business functions performance needs to consider business ratios, which describing appropriate units. Therefore, there are many business ratios analysis methods. The classification and comparison of them give the possibility to take into account, compare the interests of all participants of the business process, and find more qualitative business solutions. Paper considers the classification of business ratios analysis methods and compares them to work out recommendations to balance the interests of different business process participants.
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With the current movement of "glocalization" imposed by openness to the global sphere and the necessary anchoring to the local, the productive systems-from here and elsewhere-can no longer be non-territorial or autarkic. As much openness opens up the prospect of competitiveness, as much the local territory ensures a kind of "rescue net" and refuge in the event of global crises that have become frequent. Whether it is the social movement paradigm or the local production system canvas "glocalization" is justified by the wealth potential that territories of any nation seeking its competitiveness on the international scene conceal. To identify, grasp, understand and value such a territorial resource, the diagnosis of the existing is necessary. Socio-spatial disparities are at the heart of the problems of regional development confronted with the double malaise of poverty and environmental degradation. With the certainty that wealth is created within companies and that they are the key players in territorial development, the analysis of the spatial anatomy of productive systems provides information on the symbiosis between the productive and the spatial. Without claiming to reproduce the evolution of productive systems and their spatial expressions in its completeness, this paper proposes to explore the major territorialized forms that the 7 productive system in Morocco has taken from independence to our day. It's all about finding to characterize the specificities of Morocco in this matter by launching a sort of a provisional assessment. The main question here is to approach a kind of model in gestation that Morocco can create for the rest of Africa at this spatial / productive level.
Chapter
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The digitalization of economic activity poses new challenges to both enterprises’ managers and software developers. Software ceases to be a mass product, acquiring the characteristics required and defined by the consumer. The understanding of customers' needs helps the reducing uncertainty and allows the producer’s development strategy selection. In this work, a model of interaction between software developers and its consumers is created. Since the primary goal of this work is an analysis of possible effects of the choice of developer-customer interaction strategies, the model is considered as a specific strategic game, and its interpretation is carried out using the game theory and decision under uncertainty tools.
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One of the most important problems of creating new and also modernizing and operating the existing industrial equipment is to provide it with technical diagnostic tools. In modern systems, most diagnostic problems are solved by vibration monitoring methods, and they form the basis of this process. For several years already, when creating new responsible equipment, many manufacturers have completed it with monitoring and diagnostic systems, often integrating them functionally with automatic control systems. This paper discusses the methods of servicing industrial equipment, focusing on predictive maintenance, also known as actual maintenance (maintenance according to the actual technical condition).The rationale for the use of wireless systems for data collection and processing is presented. The principles of constructing wireless sensor networks and the data transmission protocols used to collect statistical information on the state of the elements of industrial equipment, depending on the field of application, are analyzed. The purpose of the study is to substantiate the feasibility of using wireless sensor networks as technical diagnostic tools from both economic and technical points of view. The result is the proposed concept of the predictive maintenance system. The paper substantiates the model of optimization of predic-tive repair using wireless sensor networks. This approach is based on minimizing the costs of maintenance of equipment. The presented concept of a system of predictive maintenance on the basis of sensor networks allows real-time analysis of the state of equipment. The approach allows implementing smart management of technologies in companies for ensuring stability of functioning.
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Indonesia has become one of the destination countries to market their products and services, and there are various products that are quite widely available in the Indonesian market. The country of origin (COO) model in this research is a new developed model that aims to analyze the moderating role of Ethnocentrism in the effect of the COO and brand preference (BP) on purchase intention toward the Indonesian and Chinese Batik. To address this research purpose, 414 respondents took part in the survey, and the data obtained were analyzed by Structural Equation Model (SEM) with Lisrel 8.80 application. The result of this study shows that Ethnocentrism plays a role as the moderating variable in the effect of COO on purchase intention. However, whenever the effect of the brand preference on purchase intention exists, there is no moderating role of Ethnocentrism. Consumer Ethnocentrism shows that the Chinese batik is purchased in the case if the Indonesian batik is unavailable. It implies that consumer preference to the Chinese Batik exists, because it has a superior quality, a unique or authentic design, and more experience, as the impact of Global Business aspect. The study concluded that the company management must apply global Brand Repositioning Strategy in terms of the superior quality and unique design in fulfilling the global consumers’ needs.
Book
The Fourth Industrial Revolution is changing everything - from the way we relate to each other, to the work we do, the way our economies work, and what it means to be human. We cannot let the brave new world that technology is currently creating simply emerge. All of us need to help shape the future we want to live in. But what do we need to know and do to achieve this? In Shaping the Fourth Industrial Revolution, Klaus Schwab and Nicholas Davis explore how people from all backgrounds and sectors can influence the way that technology transforms our world. Drawing on contributions by more than 200 of the world's leading technology, economic and sociological experts to present a practical guide for citizens, business leaders, social influencers and policy-makers this book outlines the most important dynamics of the technology revolution, highlights important stakeholders that are often overlooked in our discussion of the latest scientific breakthroughs, and explores 12 different technology areas central to the future of humanity. Emerging technologies are not predetermined forces out of our control, nor are they simple tools with known impacts and consequences. The exciting capabilities provided by artificial intelligence, distributed ledger systems and cryptocurrencies, advanced materials and biotechnologies are already transforming society. The actions we take today - and those we don't - will quickly become embedded in ever-more powerful technologies that surround us and will, very soon, become an integral part of us. By connecting the dots across a range of often-misunderstood technologies, and by exploring the practical steps that individuals, businesses and governments can take, Shaping the Fourth Industrial Revolution helps equip readers to shape a truly desirable future at a time of great uncertainty and change.
Chapter
The concept of Industry 4.0 together with its components and tools is discussed. An increasing role of agent-oriented and social technologies for developing smart enterprises, cyberphysical systems, Internet of things, collaborative robots is shown. The arrival of these technologies opens new frontiers in growing and studying artificial societies. A representation of networked enterprise as a mixed society of natural, software and hardware agents is suggested. Some fundamentals of agent theory and multi-agent systems are considered, and GRPA architecture is analyzed. The resource-based approach to enterprise modeling is taken and the principle of dependence of formal apparatus on both agent specification and architecture is formulated to justify the need in new network models extending conventional resource networks. Three basic agent types are introduced and a formalism of goal-resource networks to visualize and simulate communication between agents and formation of both multi-agent systems and artificial societies is presented. Colored goal-resource networks (CGRN) to represent these basic agent types are proposed. Some examples of communication situations and behavior strategies for «robot-robot» and «human-robot» interactions are given.