Does lean and sustainable manufacturing lead to Industry 4.0 adoption: The mediating role of ambidextrous innovation capabilities

Dixit, Aasheesh; Jakhar, Suresh Kumar; Kumar, Patanjal

doi:10.1016/j.techfore.2021.121328

Cited by 59 publications

(39 citation statements)

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“…According to international specialists [35], the implementation of Industry 4.0 can maximise the potential for innovations especially in the case of new services and new business models. The implementation of new technological solution can lead in organizations to an increase of the potential of the business capacity and can lead to better business operations [36,37].…”

Section: Literature Reviewmentioning

confidence: 99%

Influence of Industry 4.0 Projects on Business Operations: Literature and Empirical Pilot Studies Based on Case Studies in Poland

Gajdzik

Wolniak

2022

Journal of Open Innovation: Technology, Market, and Complexity

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For the past decade, Industry 4.0 has become the basis for building competitive advantage for business operations. The key technologies of Industry 4.0 are implemented in enterprises of various industries. This paper focuses on presenting the results of research on the influence of the Industry 4.0 concept on the operations of enterprises that are implementing smart manufacturing (SM) projects. The paper analyses the following areas of influence of projects on the enterprises’ operations: productivity, agility and speed, quality, competitiveness and enterprise value, profitability, staff reduction, delivery improvements, vertical and horizontal integration, resource savings, reduction of operating costs, technology adaptability and quality of machine operations. The paper belongs to the research paper category. The research tool was a questionnaire. The research was carried out in the segment of steel enterprises in Poland. The results of the presented research belong to pilot research of a segment of steel industry in Poland. The main conclusion of the study is that implementation of Industry 4.0 in the Polish steel sector had a positive influence on many factors strictly connected with the innovativeness of the company. Especially, the implementation of this conception in the steel sector leads to an increase in the quality of the product and the possibility to achieve a good level of customization of the product. Those factors are very important for the steel sector potential to succeed on the competitive market. The individual SM projects that were evaluated were a form of case study. The participants of the research were employees in managerial positions and operating technological installations in steel sector enterprises. In the opinion of the surveyed (79 people), depending on the type and scope of changes implemented in the company in the direction of Industry 4.0, decision-makers expect a higher quality of processes and products, the ability to meet customer requirements—the direction of the personalization of products and services, agility and flexibility of performed operations with the use of smart technology and accuracy and precision of performance higher than in the case of manual human activities.

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Section: Literature Reviewmentioning

confidence: 99%

Influence of Industry 4.0 Projects on Business Operations: Literature and Empirical Pilot Studies Based on Case Studies in Poland

Gajdzik

Wolniak

2022

Journal of Open Innovation: Technology, Market, and Complexity

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“…As an infrastructure of society, digital technology has a profound impact on people’s production and life. Firms operating in digital economy are faced with ever-changing and highly competitive environment, thus most firms are seeking digital transformation to largely introduce digital technologies into firm production practice ( Mariani and Matarazzo, 2021 ; Dixit et al, 2022 ). Digitization emphasizes the revolution of business logic content, business model reconstruction and industrial transformation and upgrading through digital technology ( Hanelt et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

“…In traditional business environment, many firms are unable to develop ambidextrous innovations due to limited resources, thus they must choose between an exploitative or exploratory innovation ( Zhou et al, 2021 ). However, firms operating in today’s digital economy may face more dynamic and competitive environment, which push firms to introduce new technology (e.g., digital technology) to realize operational efficiency and mass production, and discovering new business opportunities at the same time, and gradually achieve an ambidextrous situation ( Cenamor et al, 2019 ; Ferreira et al, 2019 ; Duan et al, 2021 ; Dixit et al, 2022 ; Huang et al, 2022 ; Xie et al, 2022 ). Researches note that topic on the relationship between digitalization and firm ambidextrous innovation is promising but remains largely unexplored, and call for more attention about this issue ( Nambisan et al, 2017 ; Kuester et al, 2018 ).…”

Section: Introductionmentioning

confidence: 99%

“…According to Asheim and Coenen (2005) , industrial knowledge bases can be divided into two types: synthetic knowledge bases and analytical knowledge bases. However, existing research mostly suggests that of digitization’s improvement and optimization on firm processes and operations ( Zhou et al, 2021 ; Dixit et al, 2022 ), and rarely explores how firms’ knowledge integration methods affect the effectiveness of digitization. Therefore, it is necessary to consider the moderating role of industrial knowledge base to explain the industrial differences.…”

Section: Introductionmentioning

confidence: 99%

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Understanding cognitive differences in the effect of digitalization on ambidextrous innovation: Moderating role of industrial knowledge base

Liu

Chen

et al. 2022

Front. Psychol.

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A number of existing researches agree that digitalization would facility firms to launch ambidextrous innovations. Digitalization is not only about technological change, but more importantly, the reshaping of the firms’ knowledge structure and routines to percept and integrate knowledge. Thus, some researchers suggest that whether firms could benefit from digitalization varies across firms and industries, since innovation in different firms and industries relies on differentiated level of cognitive and reasoning of knowledge. However, existing studies mainly focus on exploring the firm-level differences, and leave the industry-level difference underdeveloped. In response, this study integrates knowledge-based view to examine how a firm’s digitalization affects ambidextrous innovation, and further explore the conjoint effect of industrial knowledge bases—the knowledge base of the industry the firm is located in—on the relationship between firm digitalization level and ambidextrous innovation. This study uses Python to conduct text mining of firms’ annual reports, and obtains data of 394 listed companies from the year 2014 to 2020. The empirical results show that digitalization level has positive effect on both exploratory innovation and exploitative innovation, and the effect on exploitative innovation is stronger than on exploratory innovation. Moreover, the moderating effect of industrial knowledge base is significant on “digitalization–exploratory innovation” but not on “digitalization–exploitative innovation” relationship. By doing so, this study refines the research on the relationship between digitalization and firm innovation, and confirms that the usage of digitalization may lead to achieve an ambidextrous situation. This study also provides a theoretical basis for industrial differences of the effectiveness of digitalization, suggesting firms considering industrial characteristics to implement digitalization-assisted innovation practices.

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“…A majority of existing studies can be characterised as techno-centric since the focus is often purely on the technical implementation of I4.0 technologies, with the social aspects omitted (Buer et al, 2018). Adopting I4.0 is a socio-technical phenomenon that considers an organisation's capability to utilise digital technology, specifically using the digital data generated to improve and transform business processes (Dixit et al, 2021;Liker, 2020;Yilmaz et al, 2021).…”

mentioning

confidence: 99%

Fostering insights and improvements from IIoT systems at the shop floor: a case of industry 4.0 and lean complementarity enabled by action learning

Saabye

Powell

2022

IJLSS

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PurposeThis paper aims to investigate how manufacturers can foster insights and improvements from real-time data among shop-floor workers by developing organisational “learning-to-learn” capabilities based on both the lean- and action learning principle of learning through problem-solving. Second, the purpose is to extrapolate findings on how action learning can enable the complementarity between lean and industry 4.0.Design/methodology/approachAn insider action research approach is adopted to investigate how manufacturers can enable their shop-floor workers to foster insights and improvements from real-time data at VELUX.FindingsThe findings report that enabling shop-floor workers to use real-time data consist of developing three consecutive organisational building blocks of learning-to-learn, learning-to-learn using real-time data and learning-to-learn generating real-time data − and helping others to learn (to learn).Originality/valueFirst, the study contributes to theory and practice by demonstrating that a learning-to-learn capability is a core construct for manufacturers seeking to enable shop-floor workers to use real-time data-capturing systems to drive improvement. Second, the study outlines how lean and industry 4.0 complementarity can be enabled by action learning. Moreover, the study allows us to deduce six necessary conditions for enabling shop-floor workers to foster insights and improvements from real-time data.

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Does lean and sustainable manufacturing lead to Industry 4.0 adoption: The mediating role of ambidextrous innovation capabilities

Cited by 59 publications

References 39 publications

Influence of Industry 4.0 Projects on Business Operations: Literature and Empirical Pilot Studies Based on Case Studies in Poland

Influence of Industry 4.0 Projects on Business Operations: Literature and Empirical Pilot Studies Based on Case Studies in Poland

Understanding cognitive differences in the effect of digitalization on ambidextrous innovation: Moderating role of industrial knowledge base

Fostering insights and improvements from IIoT systems at the shop floor: a case of industry 4.0 and lean complementarity enabled by action learning

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