Sociotechnical factors and Industry 4.0: an integrative perspective for the adoption of smart manufacturing technologies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Érico Marcon ◽  
Marlon Soliman ◽  
Wolfgang Gerstlberger ◽  
Alejandro G. Frank

PurposeAs the level of implementation of Industry 4.0 increases, misalignments between adopted technologies and organizational factors may result in benefits below expected. This paper aims to analyze how organizational factors can contribute to a higher level of adoption of Industry 4.0 technologies. The paper uses a sociotechnical perspective lens to achieve this aim.Design/methodology/approachUsing a sample of 231 manufacturing companies in Denmark, a leading country in Industry 4.0 readiness, the paper analyzes through cluster analysis and logistic regression whether the development of four sociotechnical dimensions – that is, Social, Technical, Work Organization and Environmental factors – in these companies can benefit the achievement of higher levels of Industry 4.0 technology adoption.FindingsThe results show that companies focused on the development of sociotechnical aspects generally present higher Industry 4.0 adoption levels. However, some sociotechnical factors are less supportive than others.Originality/valueBased on these results, practitioners can plan the adoption of advanced technologies, using a systemic organizational view. This study provides evidence on a growing field with few empirical studies available. The paper contributes by providing an analysis of a leading country in Industry 4.0 implementation, presenting a systemic view on technology adoption in the Industry 4.0 context.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ting Zheng ◽  
Marco Ardolino ◽  
Andrea Bacchetti ◽  
Marco Perona

PurposeThis paper has two objectives: first, to investigate the state-of-the-art of Industry 4.0 (I4.0) adoption in Italian manufacturing firms and, second, to understand variations in technologies implemented and business functions involved, benefits perceived, and obstacles encountered in I4.0 implementation over a three-year period.Design/methodology/approachThe approach adopted in this research is descriptive, nesting longitudinal features. The paper presents a descriptive survey of 102 Italian manufacturing companies. The authors also evaluated non-response biases. The longitudinal approach was achieved by comparing the responses of the 40 sub-samples in common with a second similar survey launched three years prior, which aimed to identify patterns of evolution in the adoption of the I4.0 paradigm.FindingsSurvey findings demonstrate that Italian manufacturing companies still have limited awareness of I4.0 technologies, and the adoption of I4.0 technologies differs per technology. Company size and information system coverage level are the two factors that impact the company's technology adoption level. The comparative study shows that knowledge and adoption increase in a three-year interval with an unbalanced involvement of business functions regarding the I4.0 transformation. Indeed, companies are still seeking I4.0 solutions to reduce costs and lead times primarily, and the benefits perceived by companies are shown to be related to the number of I4.0 technologies in use. Finally, when companies put the I4.0 technologies into practice, competence is constantly considered the most significant barrier.Research limitations/implicationsThis paper aims at conducting a thorough investigation into the development of I4.0 adoption in manufacturing companies. The main limitation of this study concerns the limited number of subjects involved in the longitudinal study (40) and the focus on a limited geographical area (Italy). In addition, more I4.0 technologies could also be incorporated into the survey protocol to gain further insight into I4.0 development.Originality/valueThe authors provide one of the first attempts to assess the variations of I4.0 implementation concerning technology adoption, business function involvement, and the alteration of benefits and obstacles. Several studies presented in the literature highlight the lack of longitudinal studies investigating the development of the I4.0 paradigm in a specific manufacturing context: this paper is the attempt at filling this gap.


2019 ◽  
Vol 39 (6/7/8) ◽  
pp. 913-934 ◽  
Author(s):  
Raffaella Cagliano ◽  
Filomena Canterino ◽  
Annachiara Longoni ◽  
Emilio Bartezzaghi

Purpose The purpose of this paper is to provide evidence on how smart manufacturing (SM) affects work organization at both micro-level – i.e. work design, described in terms of operator job breadth and autonomy, cognitive demand and social interaction – and at macro-level – i.e. organizational structure, described in terms of centralization of decision making and number of hierarchical levels in the plant. Design/methodology/approach The paper reports on a multiple-case study of 19 companies implementing SM. Findings Results present four main configurations differing in terms of technological complexity, and micro and macro work organization. Research limitations/implications The paper contributes to the academic debate about the interplay between technology and work organization in the context of SM, specifically the authors find that the level of technology complexity relates to different characteristics of micro and macro work organization in the plant. Practical implications Findings offer valuable insights for practice, with implications for the design of operator jobs, skills and plant organizational structure, in light of the challenges generated by the implementation of SM technology. Guidelines on how policymakers can foster the implementation of SM technology to enhance social sustainability are proposed. Originality/value This study advances a novel focus in studying SM, i.e. work organization implications of this new manufacturing paradigm instead of its mere technological implications.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dheeraj Nimawat ◽  
B.D. Gidwani

PurposeIndustry 4.0 is regarded as a modern industrial phase wherein convergence between horizontal and vertical production systems, along with their interactions, would enable industries to obtain excellent industrial efficiency. This research thus explores the barriers relevant to Industry 4.0 and their cause and effect relations using the decision-making trial and evaluation laboratory (DEMATEL) technique, and this will assist in the implementation of Industry 4.0 in manufacturing industries.Design/methodology/approachA comprehensive literature review is carried out to outline the barriers for the Industry 4.0 implementation. The investigative techniques used in this research were conducted utilizing a questionnaire as an instrument for collecting data. The data collected were analysed using the method DEMATEL.FindingsThe findings indicate that key barriers to implementing Industry 4.0 include their cause and effect relationships. Reported “implementation costs” have been a critical barrier for Industry 4.0 implementation. Prioritization of barriers and their cause and effect relationships was achieved so that decision-makers could concentrate on overcoming such barriers for Industry 4.0 implementation.Practical implicationsThe research is intended to assist executives in recognizing the barriers to Industry 4.0 implementation in their manufacturing industries. Furthermore, the strong functional and empirical importance of emerging and digital manufacturing technologies ensures that understanding the necessary barriers to implementation is important.Originality/valueThis is one of the first few empirical studies in the field of Indian manufacturing industries that uses the DEMATEL method framework as a foundation for recognizing cause-effect interactions among the barriers that affect Industry 4.0.


2017 ◽  
Vol 30 (2) ◽  
pp. 199-216 ◽  
Author(s):  
Klaus-Peter Schulz ◽  
Silke Geithner ◽  
Peter Mistele

Purpose Manufacturing companies increasingly have to deal with uncertainty and complexity without being sufficiently prepared for it. High-reliability organizations (HROs) successfully deal with dynamic and unknown situations. The authors ask the question whether learning concepts of HROs can be a role model for manufacturing companies and if their learning principles can be successfully applied there. The paper aims to discuss these issues. Design/methodology/approach The authors’ research is based on high-reliability theory and former qualitative empirical studies on learning and development of mission-based HRO. The authors compare their learning practice with learning and development demands of the own empirical cases studies of three manufacturing firms. Findings Learning concepts in the manufacturing firms are disconnected from their practical demands. In HRO in contrast, learning and development follows a distinct choreography, with a focus on collective reflection. Manufacturing firms can learn from HROs about learning principles especially with respect to collective reflection-on-action in order to develop situational awareness. However, the HROs’ learning should not be seen as a strict role model as their work organization differs significantly from that of manufacturing firms. Research limitations/implications The research is based on in-depth case analyses (e.g. interviews and observation). The outcomes are case specific and focus on manufacturing firms. Hence, only patterns or principles can be generalized. To gain a more complete picture, the authors suggest further case analyses in different industries. Practical implications Manufacturing firms can benefit from learning principles of HROs, like combining formal and informal learning and collective reflection on practice. Originality/value The paper connects previous research on HRO with original empirical research on manufacturing firms. Through the matching of data, the authors contribute to the discussion on whether the concept of HROs can be seen as a role model for learning and development in manufacturing firms.


2021 ◽  
Vol 11 (3) ◽  
pp. 1312
Author(s):  
Ana Pamela Castro-Martin ◽  
Horacio Ahuett-Garza ◽  
Darío Guamán-Lozada ◽  
Maria F. Márquez-Alderete ◽  
Pedro D. Urbina Coronado ◽  
...  

Industry 4.0 (I4.0) is built upon the capabilities of Internet of Things technologies that facilitate the recollection and processing of data. Originally conceived to improve the performance of manufacturing facilities, the field of application for I4.0 has expanded to reach most industrial sectors. To make the best use of the capabilities of I4.0, machine architectures and design paradigms have had to evolve. This is particularly important as the development of certain advanced manufacturing technologies has been passed from large companies to their subsidiaries and suppliers from around the world. This work discusses how design methodologies, such as those based on functional analysis, can incorporate new functions to enhance the architecture of machines. In particular, the article discusses how connectivity facilitates the development of smart manufacturing capabilities through the incorporation of I4.0 principles and resources that in turn improve the computing capacity available to machine controls and edge devices. These concepts are applied to the development of an in-line metrology station for automotive components. The impact on the design of the machine, particularly on the conception of the control, is analyzed. The resulting machine architecture allows for measurement of critical features of all parts as they are processed at the manufacturing floor, a critical operation in smart factories. Finally, this article discusses how the I4.0 infrastructure can be used to collect and process data to obtain useful information about the process.


2018 ◽  
Vol 25 (4) ◽  
pp. 373-389 ◽  
Author(s):  
Jurandir Peinado ◽  
Alexandre Reis Graeml ◽  
Fernando Vianna

Purpose The purpose of this paper is to assess the differences in importance assigned by manufacturing or service organizations to topics related to operations management and its attendant body of knowledge. Design/methodology/approach The authors did this by cataloguing and analyzing vacancy announcements related to operations management, presented by manufacturing and services companies in major Brazilian human resources websites. Findings The results show that manufacturing companies primarily hire personnel with skills in routine process management, quality management, lean manufacturing, ergonomics and work organization. Service companies generally seek professionals with knowledge and experience in logistics, supply chain management and project management. Research limitations/implications This study presents some limitations that reduce the power of its conclusions. There is some degree of subjectivity in the interpretation of the contents of the analyzed ads. In order to reduce this problem, the authors who did the tabulation of data marked the situations for which there were some doubts about the classification, discussing them with the other author, until they reached a consensus on the best way to classify each one. Originality/value The discussion about the importance assigned by manufacturing and service companies to the topics of operations management is crucial for not only the results obtained, but also to stimulate the debate on topics that comprise or should comprise the body of knowledge of operations management, and the way they are incorporated into business practice. This provides an additional opportunity to reflect on the potential of operations management in supporting business managers now and in the future.


2016 ◽  
Vol 31 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Anthony K. Asare ◽  
Thomas G. Brashear-Alejandro ◽  
Jun Kang

Purpose – The purpose of this article is to develop and propose a comprehensive framework that identifies the factors that influence a company’s decision to adopt business to business (B2B) technologies. Design/methodology/approach – The authors review the literature regarding technology adoption from multiple disciplines including: Supply Chain Management, Logistics, Sociology, Information Systems, Marketing and Economics. A synthesis of the review provides the foundation for developing a comprehensive model of inter-firm technology adoption. Findings – The review and synthesis finds inconsistencies in the theoretical models and constructs used in previous studies of inter-firm technology adoption. The comprehensive framework presented identifies four major categories of antecedents to technology adoption: characteristics of a technology, organizational factors, external factors and relationships. The presented model focuses attention on the inclusion of relational factors that affect the adoption of B2B technology. Research limitations/implications – An important area that has been ignored in the inter-firm adoption literature is the impact of inter-firm relationships on technology adoption. This paper emphasizes the importance of inter-firm relationships and identifies power, trust and justice as important relationships that influence the adoption of inter-firm technologies. Originality/value – The expanded framework identifies the antecedents of B2B technology adoption, which can be used as a guiding framework by both academics and practitioners. The paper also offers directions for future work in the form of propositions.


2019 ◽  
Vol 11 (5) ◽  
pp. 837-862 ◽  
Author(s):  
Diamantino Torres ◽  
Carina Pimentel ◽  
Susana Duarte

Purpose The purpose of this study intends to make a characterization of a shop floor management (SFM) system in the context of smart manufacturing, through smart technologies and digital shop floor (DSF) features. Design/methodology/approach To attain the paper objective, a mixed method methodology was used. In the first stage, a theoretical background was carried out, to provide a comprehensive understanding on SFM system in a smart manufacturing perspective. Next, a case study within a survey was developed. The case study was introduced to characterize a SFM system, while the survey was made to understand the level of influence of smart manufacturing technologies and of DSF features on SFM. In total, 17 experts responded to the survey. Findings Data analytics is the smart manufacturing technology that influences more the SFM system and its components and the cyber security technology does not influence it at all. The problem solving (PS) is the SFM component more influenced by the smart manufacturing technologies. Also, the use of real-time digital visualization tools is considered the most influential DSF feature for the SFM components and the data security protocols is the least influential one. The four SFM components more influenced by the DSF features are key performance indicator tracking, PS, work standardization and continuous improvement. Research limitations/implications The study was applied in one multinational company from the automotive sector. Originality/value To the best of the authors’ knowledge, this work is one of the first to try to characterize the SFM system on smart manufacturing considering smart technologies and DSF features.


2020 ◽  
Vol 31 (5) ◽  
pp. 825-836
Author(s):  
Roland Ortt ◽  
Claire Stolwijk ◽  
Matthijs Punter

PurposeThe purpose of this paper is to introduce, summarize and combine the results of 11 articles in a special issue on the implementation of Industry 4.0. Industry 4.0 emerged as a phenomenon about a decade ago. That is why, it is interesting now to explore the implementation of the concept. In doing so, four research questions are addressed: (1) What is Industry 4.0? (2) How to implement Industry 4.0? (3) How to assess the implementation status of Industry 4.0? (4) What is the current implementation status of Industry 4.0?Design/methodology/approachSubgroups of articles are formed, around one or more research questions involving the implementation of Industry 4.0. The articles are carefully analyzed to provide comprehensive answers.FindingsBy comparing definitions systematically, the authors show important aspects for defining Industry 4.0. The articles in the special issue explore several cases of manufacturing companies that implemented Industry 4.0. In addition, systematic approaches to aid implementation are described: an approach to combine case-study results to solve new implementation problems, approaches to assess readiness or maturity of companies regarding Industry 4.0 and surveys showing the status of implementation in larger samples of companies as well as showing relationships between company characteristics and type of implementation. Small and large firms differ considerably in their process of implementing Industry 4.0, for example.Research limitations/implicationsThis special issue discusses implementation of Industry 4.0. The issue is limited to 11 articles, each of which with its own strengths and limitations.Practical implicationsThe practical relevance of the issue is that it focuses on the implementation of Industry 4.0. Cases showing successful implementation, measurement instruments to assess degree of implementation and advice how to build a database with cases together with large-scale studies on the state of implementation do provide a wealth of information with a large managerial relevance.Originality/valueThe paper introduces an original take on Industry 4.0 by focusing on implementation. The special issue contains both literature reviews, articles describing case studies of implementation, articles developing systematic measurement instruments to assess degree of implementation and some articles reporting large-scale studies on the state of implementation of Industry 4.0 and thereby combine several perspectives on implementation of Industry 4.0.


2020 ◽  
Vol 41 (6) ◽  
pp. 865-882
Author(s):  
Leiqing Peng ◽  
Shaohui Lei ◽  
Yulang Guo ◽  
Fei Qiu

PurposeAs an essential personality charm of leaders, humor can bring a series of positive outcomes to both users and receivers. However, there is also evidence that the impact of leaders’ humor (LH) is constrained by individuals, teams and organizational factors. The aim of this research is to investigate the relationship between LH and subordinates’ service creativity. Based on social learning theory and previous literature on LH, this paper identifies role modeling as the mediator and suggests that subordinates’ sensitivity to favorable interpersonal treatment (SFIT) moderates these relationships.Design/methodology/approachIn order to test the proposed moderated mediation model, this study employed hierarchical multiple regression and path analyses with valid data of 348 samples.FindingsResults revealed that LH positively affects role modeling and service creativity of subordinates, while subordinates' SFIT positively moderates the relationship between LH and subordinates' service creativity via role modeling.Practical implicationsIn compliance with these findings, this research suggests that enterprises should pay attention to the role of humor from middle managers and strengthen managers' role modeling through multiple measures to establish a relaxed and harmonious atmosphere in the workplace.Originality/valueBuilt on the conceptual framework, this study contributes to the literature on LH and employees’ service creativity by treating role modeling as the mechanism and SFIT as the moderator. This research is one of the first few empirical studies to investigate the relationship between LH and service creativity of service personnel in the service industry.


Sign in / Sign up

Export Citation Format

Share Document