Implementation of digital manufacturing technologies: Antecedents and consequences

Gillani, Fatima; Chatha, Kamran Ali; Jajja, Muhammad Shakeel Sadiq; Farooq, Sami

doi:10.1016/j.ijpe.2020.107748

Cited by 125 publications

(114 citation statements)

References 155 publications

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“…The adopters are more ready and more likely to accept the technology when they know that the organization has the infrastructure for the new changes. The previous technology becomes the foundation upon which new technologies are built, and technological infrastructure accumulates over time (Gillani et al, 2020 ).…”

Section: Resultsmentioning

confidence: 99%

Stagewise Overview of Issues Influencing Organizational Technology Adoption and Use

2021

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This paper provides a stagewise overview of the important issues that play a role in technology adoption and use in organizations. In the current literature, there is a lack of consistency and clarity about the different stages of the technology adoption process, the important issues at each stage, and the differentiation between antecedents, after-effects, enablers, and barriers to technology adoption. This paper collected the relevant issues in technology adoption and use, mentioned dispersedly and under various terminologies, in the recent literature. The qualitative literature review was followed by thematic analysis of the data. The resulting themes were organized into a thematic map depicting three stages of the technology adoption process: pre-change, change, and post-change. The relevant themes and subthemes at each stage were identified and their significance discussed. The themes at each stage are antecedents to the next stage. All the themes of the pre-change and change stages are neutral, but the way they are managed and executed makes them enablers or barriers in effect. The thematic map is a continuous cycle where every round of technology adoption provides input for the subsequent rounds. Based on how themes have been addressed and executed in practice, they can either enhance or impair the subsequent technology adoption. This thematic map can be used as a qualitative framework by academics and practitioners in the field to evaluate technological changes.

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Section: Resultsmentioning

confidence: 99%

Stagewise Overview of Issues Influencing Organizational Technology Adoption and Use

2021

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“…Scientific literature highlights that the companies adopting Lean Production (LP) are a fertile environment for successful digital transformation (Rossini et al, 2019b;Tortorella et al, 2019) and that LP is an enabler for digital transformation through directing I4.0 technologies toward its tools and practices (Ghobakhloo and Fathi, 2020;Pagliosa et al, 2019). While the discussion about integration between I4.0 and LP system received growing attention among practitioners and academicians (Buer et al, 2018;Rossini et al, 2019b), researches are mainly focused either on specific technologies or performance improvement achieved by single digital technology implementation (Gillani et al, 2020;Wagner et al, 2017). It is still unclear whether and how the intrinsic characteristics of LP may influence a specific digital transformation.…”

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confidence: 99%

Being lean: how to shape digital transformation in the manufacturing sector

Rossini

Cifone

Kassem

et al. 2021

JMTM

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PurposeIndustry 4.0 and Lean Production are a successful match in terms of performance improvement. While we understand the combined potential, there is still poor understanding of how companies should embrace digital transformation to make it successful and sustainable, and the role that lean plays in it. In this paper, we investigate how manufacturing companies embark upon digital transformation and how being lean might affect it.Design/methodology/approachWe conducted multiple case studies with 19 manufacturing companies. We identified two clusters of companies according to their Lean maturity, and we assessed digital transformation patterns by analyzing insights coming both from cases and from the literature. Integrating cross-case analysis results, we developed a framework that shows two different digital transformation patterns according to companies’ commitment to Lean.FindingsOur findings first and foremost show the significant role of lean in driving digital transformation. We identify two patterns, namely Sustaining digital transformation pattern, characterized by the pervasive role of lean culture with small and horizontal digital changes, involvement of people and willingness to maintain continuous process improvement, and Disruptive digital transformation pattern, characterized by few and large digital steps that imply a disruptive and radical change in the company system.Practical implicationsEmpirical evidence supports the relevance of the proposed model and its practical usefulness. It can be used to design digital transformation, prepare properly the introduction of Industry 4.0 through a lean approach, and plan the future desired state, identifying the Industry 4.0 technologies that should be implemented.Originality/valueIt is widely recognized that the relationship between Industry 4.0 and lean is significant and positive, yet little evidence was presented to back that. We aim at bringing this debate forward by providing initial empirical evidence of the significant role that lean has on digital transformation, showing how lean drives the digital transformation pattern of companies.

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“…System analysis of virtualization processes is based on the widespread use of information technology, reflecting the prospects for changes in the production landscape of firms. At the same time, according to Gillani et al [15], a systematic methodological approach to the analysis of multilevel virtual processes is required for linking digital transformations in technological, organizational, and ecological contexts. However, in the authors' opinion, the contexts indicated by scientists reflect virtualization processes mainly at the micro-level.…”

Section: Discussionmentioning

confidence: 99%

“…Fog computing associated with processing data from IoT sensors also allow an intelligent approach to resource allocation and saving strategies [46]; the same problem is solved by cloud computing with centralized processing of production data [48]. Based on data from a survey of 931 enterprises, the researchers [15] showed that a comprehensive solution to industrial, social, and environmental problems in the production of a product could increase the company's productivity and its overall efficiency in terms of flexibility, design, delivery, and quality. Smart strategies are being developed for enterprises, representing an intelligent economy of a closed cycle (circular economy) [25], which allows the use of secondary raw materials for the production of new products.…”

Section: Production Virtualizationmentioning

confidence: 99%

System analysis of digital economy virtualization processes

Simchenko¹,

Apatova²,

Korolev³

2021

P Sci Edu

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The virtualization of socio-economic processes is expressed in the development of various types of economic activities in the Internet computer network, acting as the infrastructure of the modern economic system, a catalyst for globalization processes, and the main means of communication between computers, information systems of various purposes and complexity, and people. The study of the theoretical and methodological problem of digital economy virtualization processes is due to the importance of determining the structure of virtualization as a set of interconnected industries, consumption, markets, and finance on the Internet. The elements of the system combine the types of economic activities, which include entrepreneurship on the Internet, as well as information and intellectual activities. The study of this problem was carried out using empirical methods of cognition of the structure of the system analysis of digital economy virtualization processes, along with the use of scientometric methods for reviewing the methodology of the educational process for training digital economy personnel and improving their qualifications as a precursor to the design of production processes, consumption, market and financial processes occurring in a digital environment. The conducted studies make it possible to obtain scientific results in the field of structuring the socio-economic processes of virtualization, namely: a dichotomy of virtualization processes in the digital economy is proposed, taking into account the factor of education; the positive and negative consequences of virtualization for the economy and society as a whole are identified. It was concluded in the course of the study that the system analysis of digital economy virtualization processes should be based on the development of the educational component and reflect the environment of virtualization processes, including digital platforms, which, first, form the global infrastructure of the world economy; second, they contribute to the development of entrepreneurship; third, they provide production, consumer, market and financial functions and corporate governance; fourth, they are a source of network externalities that create new social and economic problems. The prospect for further research is the development of a model for assessing the impact of the structure of virtualization processes on economic growth in the digital economy.

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Implementation of digital manufacturing technologies: Antecedents and consequences

Cited by 125 publications

References 155 publications

Stagewise Overview of Issues Influencing Organizational Technology Adoption and Use

Stagewise Overview of Issues Influencing Organizational Technology Adoption and Use

Being lean: how to shape digital transformation in the manufacturing sector

System analysis of digital economy virtualization processes

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