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The term ‘Industry 4.0’ was coined to mark the fourth industrial revolution, a new paradigm enabled by the introduction of the Internet of Things (IoT) into the production and manufacturing environment. The vision of Industry 4.0 emphasizes the global networks of machines in a smart factory setting capable of autonomously exchanging information and...
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... The strength of Industry 4.0 which is directly related to the emergence of digital manufacturing [160], refers to intelligent networks between industry units, mobility in processes, and flexibility in operations [5], thus achieving integration between internal and external customers, suppliers, and above all in the adoption of innovative business models that allow for greater profitability [161], [162]. Since in recent years, factors such as increasing national and international competition, market volatility, product demand, and unforeseen situations such as the global pandemic have presented serious challenges for companies and their life cycles, the need to improve the quality of their products and services has become more critical than ever. ...
... This is why it is known as the fourth industrial revolution framed in the VOLUME 11, 2023 digital revolution [158], [159] and especially its contribution to industrial production [93], which is born from the improvement of networks, contributing to all areas within organizations. The strength of Industry 4.0 is directly related to the emergence of digital manufacturing [160]. ...
This study aims to understand the factors that drive actors belonging to the sector of organizations in Latin America (LA) to adopt Industry 4.0. The proposed model results from the analysis and integration of the technology adoption model (TAM), green information technology adoption model (GITAM), and theory of planned behavior (TPB). To determine the predictive factors for internal organizational actors, the research team surveyed information on organizations belonging to Colombia, Ecuador, Mexico, Panama, and Peru. Information was collected from strategic, tactical, and operational personnel. Data were collected from 499 organizational actors in the productive sector, processed, and analyzed using a structural equation model with the partial least squares technique. The study model explains, first there is an influence of the variables Industry 4.0 perceived ease of use (PEU) and Industry 4.0 perceived utility (PUT) on Industry 4.0 attitude towards use (ATU). Second, there is a positive influence of Industry 4.0 technological context (ICO), Industry 4.0 subjective norm (SNO), Industry 4.0 attitude (ATT), Industry 4.0 attitude towards to use (ATU), and Industry 4.0 attitude behavioral control (BCO) on intention to adopt Industry 4.0 in the organization (IAI). Third, what was not supported is the influence of Industry 4.0 technological context (ICO) on the intention to adopt Industry 4.0 in the organization (IAI). The model results are consistent with those of other studies on technology adoption, and propose a model for Industry 4.0, which is a significant contribution to this study, especially for developing countries. INDEX TERMS Industry 4.0, organization, adoption model, Latin American.
... Logistics 4.0 is the most effective tool for maintaining the perfect balance between automation and mechanization. Cooperation, coordination, and communication between suppliers, manufacturers, retailers, and customers are provided by digitalization and process automation (Tjahjono et al., 2017). Logistics 4.0 capability, E-commerce marketing capability, and dynamic capability are interrelated concepts. ...
... Logistics 4.0 is the most effective tool for maintaining the perfect balance between automation and mechanization. Digitalization and process automation provide cooperation, coordination, and communication between suppliers, manufacturers, retailers, and customers (Tjahjono et al., 2017). Logistics 4.0 capability, E-commerce marketing capability, and dynamic capability are interrelated concepts. ...
This study aims to determine whether e-commerce marketing capability impacts firm performance and what role logistics 4.0 plays in this relationship. Based on the literature and grounded on dynamic capability theory we develop a theoretical framework in which logistics 4.0 capability plays a mediating role in the relationship between e-commerce marketing and firm performance. Our hypotheses are tested using survey data from 553 respondents working in the logistics, textiles, white goods, and electronics sectors. The data is analyzed using structural equation modeling. Empirical results show that e-commerce marketing positively impacts firm performance and logistics 4.0 capability is mediating in this relationship. Logistics 4.0 capability enhances firm performance by improving on-time deliveries and increasing the efficiency of supply chain processes. Our results highlight the importance of investing in Logistics 4.0 capability including talent, managerial, and technical resources to improve the benefits the firm is getting from e-commerce marketing. Logistics 4.0's capability enhances e-commerce marketing's impact on firm performance by increasing on-time deliveries, efficiency, flexibility, quality, and responsiveness to customers, and improving the ability to build enterprise agility. This study contributes to firm performance literature by identifying the mediating role Logistics 4.0 plays in the relationship between e-commerce marketing and performance.
... How I4.0 concepts such as IoT, AI, and big data are reshaping supply chain integration practices and design strategies are presented in [29,30]. Order fulfillment and transport logistics are two areas specifically affected by Industry 4.0 that could see improvement in efficiency [31]. Big Data has been shown to contribute positively to competitive advantages, but caution should be exercised when investing in advanced robots to prevent detrimental effects on sales growth [32]. ...
Manufacturing companies must embrace state-of-the-art technologies to keep up with the rapid advancements in technology and innovation. This study examines how integrating supply chain partners in implementing technologies like I4.0 can improve Competitiveness. The research employed a survey-based approach, utilizing a well-constructed semi-structured questionnaire. One hundred and twenty-five responses were obtained from Bangladesh's Readymade Garments Sector. Based on previous literature and the responses from the respondents, a conceptual model was formulated, which generated six hypotheses. The model and the hypotheses are tested and validated through Structural Equation Modeling. Smart PLS 4.0 was employed for data analysis. The study's findings support all the proposed hypotheses, confirming the validity of the developed model. The effective and efficient implementation of cutting-edge technologies through linking with the supply network partners would build Competitiveness.
... It is a complete transformation of the manufacturing industry through the introduction of digitization along with the Internet. The result of this is a significant and revolutionary improvement in the manufacturing processes of products and systems [82]. Such improvement is supported by equipping factories with cutting-edge technologies such as the Internet of Things (IoT), Cyber-physical Systems (CPSs), and Cloud Computing (CC) [7,97]. ...
... It may perform a wide range of tasks, including vehicle speed, real-time location, recessed product health, equipment operation, and health, including temperature sensors (Manavalan & Jayakrishna, 2019). The expanding repute of stakeholder participation and the strengthening of interactions between supply chain stakeholders imply that the impact of Industry 4.0 deployment on the supply chain network level has to be assessed (Tjahjono et al., 2017). In the words of Frank et al. (2019), the supply chain is defined as the scope of the Industry 4.0 revolution, which connects digital platforms with customers, distributors, partners, and suppliers. ...
This study aims to analyze the impact of Industry 4.0 implementation on the supply chain and develop an implementation framework that considers the potential drivers and obstacles of the Industry 4.0 paradigm. A literature search examined the main drivers and barriers to implementing Industry 4.0 in four business areas: strategy, organization, technology, law, and ethics. A system dynamics model will be developed to understand the impact of the implementation of Industry 4.0 on supply chain parameters, and the identified drivers and barriers to technological change will be included. In addition to the empirical basis of this connection, a proposal was a theoretical framework for utilizing Industry 4.0 within the supply chain. The opportunities and new challenges for future supply chains were expected in Industry 4.0. This study analyzed various challenges in implementation and process and proposed a framework for effectively adapting and transferring the model of Industry 4.0 towards supply chains. The research aims to understand the challenges of integrating Industry 4.0 into their networks because it aims to examine the advantages of supply chain management. The implementation impact of Industry 4.0 on the supply chain performance can be analyzed using simulation analysis, and the driving causes and obstacles of this technological transition can be investigated. This connection is provided on an empirical basis. It is proposed that a new industrial conceptual framework be developed. Incorporate Industry 4.0 into your supply chain.
... The Industry 4.0 also influences to the upstream and downstream of the value chains (Asdecker and Felch, 2018), offering a quick response to consumer demand (Manavalan and Jayakrishna, 2019) and improving the supply chain flexibility and transportation (Tjahjono et al., 2017). In the context of carrying out the benefit of Industry 4.0, therefore the supply chain operations must be considered in further Industry 4.0 applications. ...
... Literature extracted from the database shows that only a few papers contribute to supply chain 4.0, as shown in Table 1. (Tjahjono et al., 2017) Industry 4.0 increased flexibility, quality standards, efficiency, and productivity. It was found that not all parts of Industry 4.0 affect supply chain operations. ...
... Maturity model is designed by the company's production strategy Previous scholars defend the one point that Industry 4.0 contributes to supply chain operations, despite its lack of definition and applications. (Tjahjono et al., 2017) And (Dallasega, Rauch, and Linder, 2018) agreed that Industry 4.0 adoption might improve supply chain flexibility, productivity, product quality, and distribution. Supply chain operations have advantages to win competitive advantages and fulfilling consumer expectations. ...
... Besides that, I4.0 technologies aligned with a lean culture make the process go smoothly. Technologies such as cloud networking, advanced robotics, digital technologies, IoT enhance the transparency and trustworthiness among the partners (Tjahjono et al., 2017). ...
Purpose- This study aims to examine the impact of Lean 4.0 practices on value co-creation in the dairy ecosystem.
Design/methodology/approach-Data collection were carried out through a questionary application with 126 professionals linked to the dairy ecosystem, including milk producers, milk cooperatives and milk transporters. The data were analyzed using Cluster Analysis, Mann-Whitney test and Chi-Square test.
Findings-A strong relation was found between the use of Lean 4.0 tools and the increase in operational performance, in addition to milk quality. Moreover, it can be noted that the use of digital technologies from Industry 4.0 has a strong relation with dairy production optimization, in other words, it is possible to be more efficient in the dairy process via Lean 4.0 adoption.
Research limitations/implications-The study is limited to analyzing the Brazilian dairy ecosystem. The results presented may not reflect the characteristics of the other countries. Practical implications-Once the potential empirical impacts of the relation between Lean 4.0 and value co-creation are elucidated, it is possible to direct strategies for decision-making and guide efforts by researchers and professionals to deal with the waste mitigation present in the dairy sector.
Social implications-Lean 4.0 proves to be a potential solution to improve the operational performance of the dairy production system. Lean 4.0, linked to value co-creation, allows the integration of the production sector with consumers, through smart technologies, so new services and experiences can be provided to the consumer market. Additionally, the consumer experience can be stimulated based on Lean 4.0, once the quality specification is highlighted based on data science and smart management control.
Originality/value-To the best of the authors' knowledge, this is the first study that analyzes the interrelationship between the Lean 4.0 philosophy and the value co-creation in the dairy ecosystem. In this sense, the study reveals the main contributions of this interrelation to the dairy sector via value co-creation, which demonstrates a new perspective on the complementarity of resources, elimination of process losses and new experiences for the user through digital technologies integrated with the Lean Thinking approach.
... Lastly, "What does Industry 4.0 mean to Supply Chain?" [22], investigates the transformative potential of Industry 4.0 on supply chain operations. By leveraging cyber-physical systems, IoT, and big data analytics, Industry 4.0 promises increased efficiency, flexibility, and responsiveness in supply chain management, revolutionizing traditional practices. ...
The evolution of Internet of Things (IoT) and sensor technology has been nothing short of remarkable, reshaping the very fabric of our existence across multiple domains. This comprehensive review encapsulates the dynamic landscape of IoT and sensor technology, underscoring their pivotal role in realizing the aspirations of Industry 4.0. We first explore the remarkable advancements brought about by these technologies, delving into their transformative impact on various aspects of our lives. Moving forward, we navigate through the intricate challenges posed by these innovations, spanning security vulnerabilities, privacy concerns, and data management complexities. Moreover, we illuminate the horizon with emerging trends such as edge computing and the advent of 5G networks, envisioning a future where these technologies catalyze unprecedented societal and economic transformations. By encapsulating the essence of IoT and sensor technology's profound impact, this review serves as a beacon guiding us towards a future defined by innovation, efficiency, and sustainable progress across diverse industries and sectors.
... The convergence of various cutting-edge technologies has given rise to a dynamic and interconnected ecosystem, enhancing efficiency, agility, and responsiveness in the supply chain. Industry 4.0 has engendered a paradigm shift in the realm of supply chain management (Abdirad & Krishnan, 2021;Hofmann & R€ usch, 2017;Tjahjono et al., 2017). This discussion centers on the integration of key technologies that support an intelligent supply chain. ...
This paper presents a comprehensive bibliometric literature review that aims to analyze and synthesize the existing research on the digital supply chain. By employing a bibliometric approach, this study provides insights into the trends, key research themes, influential authors, and relevant journals in the field of DSC. Furthermore, it explores the geographical distribution of publications, collaboration networks among researchers, and the evolution of research topics. The comprehensive bibliometric analysis of literature in DSC is performed through data visualization and content analysis. Data visualization enables the analysis of publication performance and science mapping by examining prolific journals, authors, countries, influential papers, and conducting citation, co-citation, and bibliographic coupling analyses. Content analysis is carried out by examining the occurrence and clustering of textual data. The bibliometric literature review and content analysis were carried out on 114 documents indexed in the Scopus database, which were selected using the Prisma protocol. The data visualization analysis of the literature review through VOSviewer draws the landscape of scholarly research in the digital supply chain. Based on the research landscape, the content analysis demonstrates the significant effects that the incorporation of digital technology into supply chain management has had on several important research topics. The main research trends in digital supply chain according to the content analysis are: intelligent supply chain management, technologies to drive supply chains performance, circular supply chains, information reliability in supply chains, and sustainable supply chains. The findings of this review highlight the transformative potential of digital technologies in supply chain management and its performance optimization.
... LSPs can be categorized by application, for example, managing inventory and cost, optimizing transportation and distribution, freight forwarding, etc. [11]. With the advancement of today's technology, for example, RFID, Big Data, Cloud technology, and Machine Learning, LSPs further serve the customer with more value-adding activities such as on-demand delivery, data analytics, market understanding, and real-time tracking and tracing, etc. [12][13][14]. ...
Supply chain and logistics management is of tremendous importance for multinational organizations. Logistics Service Providers (LSPs) provide logistics services and smooth logistics operations between suppliers, manufacturers, distributors, and customers. This paper uses a Systematic Literature Review (SLR) to identify the current trends and future developments of LSPs and the underlying (smart) logistics operations connected to the concept of lifecycle management. An SLR review was conducted to identify relevant research papers in the areas of LSPs and logistics lifecycle management. Out of 288 papers analyzed, 81 were identified as highly appropriate for in-depth analysis. The LSP Lifecycle Model (LSLM) was then developed by combining logistics service characteristics and the lifecycle management concept, including Product Lifecycle Management (PLM), Service Lifecycle Management (SLM), and Product Service System (PSS). The LSLM consists of three phases: The Beginning of Life (BOL), the Middle of Life (MOL), and the End of Life (EOL). The LSLM is characterized by three phases, eight criteria, and seventeen sub-criteria. This paper aims to fulfil customer requirements through a product or service in the whole lifecycle of the logistics service provider. The findings further present an adaptable LSLM by focusing on various logistics services and integrating sustainability factors to meet market trends. Logistics cost factors can also be used to evaluate logistics services in the MOL stage. The EOL shows the trend of risk management, evaluation, and decomposition, which is determined by new or re-designed logistics products and services.
