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Business firms and other types of organizations are feverishly exploring ways of taking advantage of the big data phenomenon. This article discusses firms that are at the leading edge of developing a big data analytics capability. Firms that are currently enjoying the most success in this area are able to use big data not only to improve their exis...
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... However, in recent years the business world has had chaotic situations. Traditional organizational structures may be late in responding to change and crises, but ADC enables organizations to be flexible and effective in unpredictable times because it gives importance to flexibility, innovation and cooperation (Galbraith 2014). According to literature, organizations with ADC are more innovative (Mintzberg 1989). ...
This study investigates the impact of intangible resources such as adhocracy culture (ADC), information sharing with suppliers (IS), and supplier trust (ST) on supply chain viability (SCV) under high inflation environment. To do this, a conceptual model is developed to analyze the associations between these suggested variables. Using on a cross-sectional survey, data are collected from 216 supply chain (SC) and production practitioners based in Türkiye who are medium- to senior-level managers. To analyze our theoretical model, we processed our data and model using lavaan package in R. The results show a significant relationship between ADC and SCV. Additionally, both of IS and ST capabilities are found to have a strong mediating effect on the ADC and SCV relationship. The results of this study will provide insight for managers and researchers to prevent the negative effects of SC disruptions due to the high inflation or other type of stress tests. Extant research has investigated the SCV with different crises like COVID-19 pandemic however, the study is the first research that examines SCV under high inflation stress test. Moreover, ADC, IS and ST have not widely appeared in SCV literature. In this regard, this research also contributes to the ongoing efforts of investigating the antecedents of SCV.
... The frequent and high utilisation of information positively affects strategic interpretation (Thomas et al., 1993). big data analytics enables organisations to make rational decisions rapidly and increases organisational power, capabilities, efficiency, and competitive advantage (Galbraith, 2014). From the perspective of OIPT, forecasting demand and flexibility are two central pillars of data analytics capability. ...
With the global digitalisation, big data has received growing attention from academicians and practitioners. However, only a few empirical studies examined the benefits of big data predictive analytics (BDPA) and its influence on supply chain collaboration (SCC) and supply chain performance (SCP). Addressing the identified gaps of the implementation of organisational information processing theory (OIPT), the current study provided the foundation to develop a conceptual framework. All relevant data were collected from 197 employees in the Chinese logistics industry. Partial least squares-structural equation modelling technique was performed. The obtained empirical results supported top management support and compatibility as critical factors for the adoption of BDPA. Moreover, BDPA exhibited positive influence on SCC and SCP. Additionally, SCC mediated the relationship between BDPA and SCP. This study presented significant theoretical contributions and provided guidelines that can benefit policymakers and organisations in the efforts of implementing BDPA for enhanced SCP. After all, improving SCP would benefit customers and the society in the case of reduction and wastage of resources.
... OIPT When dealing with high information volume, as in ESG disclosure, firms need to align their information processing capabilities with information processing needs (Galbraith, 2014). Contingency theory High-performance firms create fit among strategy (e.g., prospective reporting, customizability of reports, and extended scope), core processes, and the environment (Lawrence and Lorsch, 1986 High cost of ESG disclosure TCE When firms participate in market transactions (e. g., ESG data collection, analysis, verification, benchmarking, reporting, and corporate communication), they incur costs, and firms seek means to minimize costs (Williamson, 1975). ...
... Contingency theory advocates enhanced integration among supply chain entities and establishing robust data-sharing frameworks to align seamlessly with the organizations' ESG objectives (Lawrence and Lorsch, 1986). OIPT calls for enhanced information processing capabilities that are commensurate with broader supply chain infrastructure and are capable of processing big data from these entities (Galbraith, 2014). I5.0 is particularly attuned to enable integration across firms, transmission and cloud-based storage of big data, secure transactions across networks, and digital twins of real processes, all of which can contribute to extending the scope of ESG disclosure. ...
... OIPT provides a lens to understand ESG efficacy. Galbraith (2014) argues that when dealing with a myriad of information, firms either need to i) reduce their information processing needs by developing mechanistic structures, or ii) augment their information processing capabilities. Mechanistic structures serve the information need of firms by emphasizing rules, standardization of ambiguous processes, hierarchies, systems, and increasing coordination among relevant entities (Courtright et al., 1989). ...
... Figure 1. Process flow of a Structured Content Analysis [25] To pick the kinds to be covered in our taxonomy, we selected to use this method. We amassed statistics at the necessary statistics, generation, and algorithms employed, as well as the economic cost produced to the employer, for each use case that met the four selection criteria indexed above. ...
Marketing strategies are being revolutionized by the development of user data and the expanding usability of Machine Learning (ML) as well as Big Data approaches. The wide variety of options that ML and Big Data applications provide in building and sustaining a competitive corporate edge are not fully understood by researchers and marketers. Based on a thorough analysis of academic and commercial literature, we offer a classification of ML and Big Data use cases in marketing in this article. In order to effectively employ ML and Big Data in marketing, we have discovered 11 recurrent use cases that are grouped into 4 homogenous families. These families are: fundamentals of the consumer, the consumer experience, decision-making, and financial impact. We go over the taxonomy's repeating patterns and offer a conceptual framework for understanding and extending it, emphasizing the practical ramifications for marketers and academics.
... Con base en esta premisa, se identifican algunos cambios que pueden llegar a ocurrir en una organización: el cambio radical o episódico, y el continuo o lineal. El primero se percibe como una orientación multidimensional, discontinua y sin un enlace con el pasado; este surge en una organización que es inercial, y el proceso de cambio se observa como algo infrecuente, discontinuo e intencional; en este sentido, el cambio se ve como una interrupción ocasional o divergencia del equilibrio y tiende a ser dramático y conducido externamente; es considerado como un error de la organización (Galbraith, 2014). ...
La Secretaría de Educación Pública puso en marcha la estrategia Aprende en Casa para enfrentar el desafío de dar continuidad a la educación durante la pandemia. El proyecto se basó en el uso de las tecnologías en el ámbito educativo y originó un reacomodo en las formas de organización y estrategias de enseñanza-aprendizaje en los centros educativos. El objetivo es mostrar algunos efectos a nivel organizacional que tuvo el proyecto. Es un estudio de caso conformado por 24 escuelas de comunidades rurales y urbanas de 13 estados de México. Se aplicaron entrevistas semiestructuradas a los actores para la recolección de información. La aproximación teórica retoma algunos postulados de la teoría de la organización sobre cambio y aprendizaje organizacional. El estudio concluyó que, en cuanto a la gestión, la incorporación de nuevas herramientas digitales y tecnológicas produjo un cambio radical en las formas de organización que condujo a que algunos procesos administrativos se hicieran más eficientes. En el aspecto pedagógico, el acceso a las tecnologías de la información y la comunicación y la infraestructura tecnológica fueron un determinante para la implementación del proyecto, lo cual hizo evidente la desigualdad entre las escuelas rurales y urbanas que afectó los procesos de enseñanza-aprendizaje.
... Designing the control system bottom-up is a vital part of the STSD, for instance, the STSD by de Sitter et al. (1997). The idea that management make all the decisions in the organization is truly challenged when data becomes widely available and this leads to a shift in power from management to for instance, analytics experts (Galbraith 2014). By combining the data into data products that can be made available to all, the possibility to share real-time data both internally and externally increases (Vidgen et al. 2017). ...
Because of the increase in data and the possibilities created by machine learning, organizations are now looking to become more data-driven. In sociotechnical systems design there has been a focus on designing information for action to support decentralized organizations. The purpose of this article, published in Gruppe. Interaktion. Organisation. is to discuss how data may be gathered and used in organizations striving to become data-driven.
Explorations are based on interviews with experts (leaders and designers) in 13 organizations working on becoming more data-driven.
This study points to 4 findings: first, if someone is expected to record data that informs other people’s actions can lead to data quality issues, which can be mitigated by providing transparency or supporting a joint information for action as an organizational design choice. Second, as organizations are becoming more data-driven, many tasks performed in the organization become design-related. This influences the type of data recorded and used for action. Third, more of the people in the organizations engage in designing the information for action for themselves and others, which means that they might need reskilling. Fourth, the boundaries of what can be considered information for action and for whom should by explored and reflected upon by the people involved in the (re)design.
This means that, as organizations strive to become data-driven, the sociotechnical principle of information flow becomes a central challenge. To ensure quality organizations, there is a need to upskill or reskill employees so that they are able to design and use data for action.
... He needs new competent managers to make the right decisions in response to the massive amount of information. The first company to embrace and make changes will have a head start, with P&G and Google being good examples 20 . In her article, Janne J. KOrhOnen analyzes in detail how the analytical power of Big Data is reflected in the "requisite organization", and how it will change the organizational structure of the future. ...
The initial development of the takeout industry was in the form of packaging. Later, with the popularity of telephones and mobile phones, people began to order by telephone to meet the needs of some customers who didn’t want or didn’t have time to go to restaurants. Since the 1990s, the Internet began to popularize, which made the takeout industry develop unprecedentedly. Now, after several years of rapid development, the takeout industry has already developed a mature industrial chain. Although it is a labor-intensive industry, the current takeout industry has joined Big Data, cloud computing, Internet of things and other technologies. Especially in recent years, with the introduction of Big Data, major takeout companies have developed their own Big Data analysis system to continuously improve and optimize the takeout system through the introduction and analysis of a large amount of data. This paper aims to study the boosting effect of Big Data on the takeout industry, especially how to analyze and optimize the takeout time, takeout path and so on through Big Data analysis in China’s takeout market.
... Concretely, the improvement took the form of reducing the delay in using the discretionary capacity. In general, ML increases the "clock speed" [83] of an organization, and the decision structures must keep pace, for example, through decentralization that tends to reduce the number of levels a decision has to pass through (reducing delays). ...
Despite the unabated growth of algorithmic decision-making in organizations, there is a growing consensus that numerous situations will continue to require humans in the loop. However, the blending of a formal machine and bounded human rationality also amplifies the risk of what is known as local rationality. Therefore, it is crucial, especially in a data-abundant environment that characterizes algorithmic decision-making, to devise means to assess performance holistically. In this paper, we propose a simulation-based model to address the current lack of research on quantifying algorithmic interventions in a broader organizational context. Our approach allows the combining of causal modeling and data science algorithms to represent decision settings involving a mix of machine and human rationality to measure performance. As a testbed, we consider the case of a fictitious company trying to improve its forecasting process with the help of a machine learning approach. The example demonstrates that a myopic assessment obscures problems that only a broader framing reveals. It highlights the value of a systems view since the effects of the interplay between human and algorithmic decisions can be largely unintuitive. Such a simulation-based approach can be an effective tool in efforts to delineate roles for humans and algorithms in hybrid contexts.
... It is fundamental for any organization to have a proper division of labor and sufficient coordination and alignment between tasks (Galbraith, 2014;Mintzberg, 1993). There are several ways to describe coordination and below Mintzberg's five coordination Facilitating improvements in public service systems mechanismsnamely mutual adjustment, direct supervision, standardized work processes, standardized output and standardization of skillsare used as a basis to elaborate further on the area of coordination. ...
Purpose
The purpose of this article is to increase the understanding of how improvements can be facilitated in a public service containing multiple actors in terms of identifying, aligning and prerequisites for the improvements.
Design/methodology/approach
The research utilizes an interactive research approach where data were gathered though a conference, workshop and a survey. The study alternately combines quality management methods such as affinity and interrelationship diagrams with computer aided text mining and latent semantic analysis.
Findings
The research shows that practitioners must consider interconnectedness between improvements and benefits that are crossing organizational levels of the public service system as well as professional borders. In public service systems, the complex reality can be better understood when improvements and benefits are classified into different organizational layers and an interconnectedness and sequence of improvement areas are acknowledged.
Research limitations/implications
The research is set in the Swedish public service of the tax-paid sick leave insurance. Future research would benefit by investigating similar cases in other nations and other services.
Practical implications
The used methodology can be applied by practitioners to enhance a unified understanding of the system required to improve. The study also guides practitioners for how to support, relive hinders and prioritize improvements.
Originality/value
The research fills a gap of understanding of improvements in public services with multiple actors. As this area is difficult to improve, a novel combination of qualitative and quantitative methods paved the way for deeper and more unified understanding of the system.
... The development of information processing capacity has been long an issue for companies, but databases and analytics have been used only for the last couple of decades (Galbraith, 2014). Hence, the development of the information technological (IT) background -software, hardware, and personnel -is not a new phenomenon. ...
This study extends existing research on the implications of advanced analytics. Drawing on organizational information processing theory (OIPT), hypotheses are developed for the relationships between information technology orientation, the use of advanced analytical techniques, the ability of information to be utilized in a decision context, and data-driven decision-making. Using survey data from 176 medium-sized and large firms, a mediator model was proposed and tested with structural equation modelling. The data show that the significant direct effect of technology orientation on analytical practice is greatly enhanced by the digital orientation of the firms. As suggested by OIPT, controllers are argued to act as integrators in the sense-making of data-centric mechanisms. The results of the model indicate that the added value of controllers mediates the effect of advanced analytics on the ability of analytical information to be utilized in a decision context. Importantly, the data did not corroborate any relationship between the extent to which available information is able to support decision making and reliance on this information in the decision-making process. It suggests that the strengthening of data-driven decision-making does not overshadow intuition, as assumed based on the expected opposite movement of the two variables. This finding shows the importance of a more detailed and theoretically grounded investigation on how advances in analytical capabilities are (not) changing managerial decision-making processes.
