A Resource-Based View and Institutional Theory- based analysis of Industry 4.0 Implementation in the Indian Engineering Industry

Sony, Michael; Aithal, P. S.

doi:10.47992/ijmts.2581.6012.0111

Cited by 17 publications

(18 citation statements)

References 48 publications

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“…It fundamentally changes the way an organization carries out day to day business (Schwertner, 2017). It could be viewed as the usage of digital technologies to transform different functional departments and associated systems and processes within these functions of organizations such as production, purchasing, marketing, accounting, HR and finance (Sony and Aithal, 2020b). The three phases of the digital transformation of the organization are digitization, digitalization and digital transformation (Verhoef et al , 2021).…”

Section: Resultsmentioning

confidence: 99%

Conceptualizing Industry 4.0 readiness model dimensions: an exploratory sequential mixed-method study

Antony

Sony

McDermott

2021

TQM

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PurposeOrganizations use Industry 4.0 readiness models to evaluate their preparedness prior to the implementation of Industry 4.0. Though there are many studies on Industry 4.0 readiness models, the dimensions of readiness differ. Besides, there is no study empirically validating the readiness model in different sectors or types of organization. The purpose of this study is to conceptualize the dimensions of the Industry 4.0 readiness model and subsequently evaluate the criticality of these dimensions in manufacturing, service, small and medium-sized enterprises (SMEs) and large enterprises (LEs).Design/methodology/approachThe study uses an exploratory sequential mixed method design. In phase one, 37 senior managers participated through a purposive sampling frame. In phase two, 70 senior managers participated in an online survey.FindingsThe results of the study indicated that the Industry 4.0 readiness model has 10 dimensions. Further, the criticality of the dimensions as applied to different sectors and type of organizations is put forward. This study will help manufacturing, services, SMEs and LEs to evaluate Industry 4.0 readiness before commencing the deployment of Industry 4.0.Practical implicationsThe findings can be very beneficial for Industry 4.0 practitioners and senior managers in different organisations to understand what readiness dimensions need to be considered prior to implementation of Industry 4.0 technology.Originality/valueThis paper makes an attempt to conceptualize the Industry 4.0 readiness model and utilizes an exploratory mixed method for critically evaluating the dimensions related to the model.

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Section: Resultsmentioning

confidence: 99%

Conceptualizing Industry 4.0 readiness model dimensions: an exploratory sequential mixed-method study

Antony

Sony

McDermott

2021

TQM

Self Cite

View full text Add to dashboard Cite

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“…In addition, with supply chain level improvements: better, faster, cheaper as the integration of enabling technologies matures. Therefore, it is a time-consuming process that enables organizations to learn over time (Liao et al , 2017; Sony and Aithal, 2020). For example, organizations may learn about complementary practices, which may help in the implementation of Industry 4.0.…”

Section: Resultsmentioning

confidence: 99%

“…The late adopters of Industry 4.0 will have to position themselves externally in the marketplace using Early and late adopters of Industry 4.0 innovative Industry 4.0 business models (Ludbrook et al, 2019), otherwise it will be difficult to enter the market dominated by early adopters. From a resource-based theory perspective (Barney, 1991), the early adopters will over time build organizational internal resources and competencies (Sony and Aithal, 2020), which would be difficult for rivals to emulate. Hence such organizations will have unique resources and capabilities which will result in competitive advantage in terms of unique horizontal, vertical, and end-to-end integration through Industry 4.0 technologies.…”

Section: Early and Late Adopters Impact On Environmental Performancementioning

confidence: 99%

How does performance vary between early and late adopters of Industry 4.0? A qualitative viewpoint

Antony

Sony

McDermott

et al. 2021

IJQRM

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PurposeIndustry 4.0 is a new trend among organizations. Some organizations have been early adopters or later adopters of Industry 4.0. The purpose of this paper is to investigate how performance effects vary between early and late adopters of Industry 4.0.Design/methodology/approachThis study applies a qualitative research methodology using grounded theory. 14 senior management professionals who have implemented Industry 4.0 participated in this study through a theoretical and snowball sampling approach. These professionals were from manufacturing and service sectors, from North America, Europe and Asia. The study used semi structured open-ended interviews to capture the organizational performance on operational, financial, environmental and social dimensions.FindingsThe findings were analyzed in terms of four broad themes which emerged from the interviews. In operational performance the operational and implementation cost will be higher for early adopters. The late adopters may enjoy the advantage in terms of improved business models. In terms of financial performance, the early adopters may see a marginal increase in profit and increased stock price compared to late adopters. The performance on the environmental dimension will see early adopters enjoying material efficiency, energy savings and an improved image of the company compared to late adopters. In social performance, the early adopters will provide a better quality of work life, safer manufacturing environment. However, the resistance from labor unions will be higher for early adopters compared to late adopters.Practical implicationsOrganizations must decide the timing of implementation of Industry 4.0. This study will act as a guide wherein they can decide to be an early adopter or late adopter based on knowledge of the resulting performance consequences.Originality/valueThis is the first paper that studies the performance effects of early versus late adopters of Industry 4.0.

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“…The theory focuses on performance differences across firms. Performance differences are viewed as earnings differentials attributable to resources having different levels of efficiency (Sony & Aithal, 2020). Superior resources enable an organization to produce better products and satisfy customers more sufficiently than it would with inferior resources.…”

Section: Empirical Review On Resource Utilizationmentioning

confidence: 99%

“…Efficiency is measured in terms of net benefits, or the benefits to an organization that are left after the firm's costs are subtracted. Sustainable competitive advantages and disadvantages can occur immediately, such as through a purchase, or can develop over a period of time (Sony & Aithal, 2020). Resource-based theory did not initially focus on whether resources were static or changing.…”

Section: Empirical Review On Resource Utilizationmentioning

confidence: 99%

Impact of Resource Utilization on Lecturers’ Effectiveness in Private Universities, Kwara State, Nigeria: A Qualitative Approach

2020

tmuj

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This study examined the impact of resource utilization on lecturers’ effectiveness in universities in Kwara State, Nigeria. Three research questions were raised to guide the study. The research design adopted for the study was qualitative type. Population consists of all principal officers in private universities. Purposive and convenience sampling techniques were used to select two principal officers from two universities. An interview protocol titled “Interview Protocol on Resource Utilization and Lecturers’ Effectiveness (IPRULE)” was used to collect relevant data. Thematic approach was employed for analysing the data collected. Findings revealed use of resource by the lecturers as perceived by the principal officers of the selected universities. Also, findings indicate nexus between health, library, classroom and lecturers’ effectiveness. In view of the foregoing findings, it was recommended that adequate resources should be provided for lecturers for them to be more effective in the areas of teaching, research and community service.

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A Resource-Based View and Institutional Theory- based analysis of Industry 4.0 Implementation in the Indian Engineering Industry

Cited by 17 publications

References 48 publications

Conceptualizing Industry 4.0 readiness model dimensions: an exploratory sequential mixed-method study

Conceptualizing Industry 4.0 readiness model dimensions: an exploratory sequential mixed-method study

How does performance vary between early and late adopters of Industry 4.0? A qualitative viewpoint

Impact of Resource Utilization on Lecturers’ Effectiveness in Private Universities, Kwara State, Nigeria: A Qualitative Approach

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