Factors influencing Industry 4.0 adoption

Khin, Sabai; Kee, Daisy Mui Hung

doi:10.1108/jmtm-03-2021-0111

Cited by 74 publications

(51 citation statements)

References 39 publications

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“…The I4.0 acceptance study has been addressed in other contexts, such as small and medium enterprises [31], manufacturing companies [38], managers [32], and governments [39]. However, to the best of our knowledge, it has not been addressed from the students' perspectives.…”

Section: Introductionmentioning

confidence: 99%

Technological Acceptance of Industry 4.0 by Students from Rural Areas

et al. 2022

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In this study, our objective was to identify the factors that explain the acceptance of Industry 4.0 technologies by technical students. Industry 4.0 is made up of a series of technologies, such as the Internet of Things; cyber-physical systems; big data, data analytics, or data mining; cloud computing or the cloud; augmented reality or mixed reality; additive manufacturing or 3D printing; cybersecurity; collaborative robots; artificial intelligence; 3D simulation; digital twin or digital twin; drones. We designed a theoretical model based on the technology acceptance model to explain the acceptance of these technologies. The study was carried out on a sample of 326 technical professional students. Students are considered ideal samples to test theoretical predictions regarding the relationships between variables in emerging technologies. The results show the positive effect of technological optimism on perceived usefulness and ease of use. However, there was not a direct effect on the attitude towards the use. A mediating effect was established. In addition, the facilitating conditions influence optimism and the ease of using the technology. These elements influence the attitude and intention to use, which is consistent with previous studies on technology acceptance. The results will guide the design of public policies to incorporate technologies into education.

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Section: Introductionmentioning

confidence: 99%

Technological Acceptance of Industry 4.0 by Students from Rural Areas

et al. 2022

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“…Understanding the factors will help the companies to evaluate their readiness level of Industry 4.0 transformation and where to focus for achieving Industry 4.0 transformation. Khin and Kee (2022) also emphasized the importance of understanding the factors for making the right decision to invest in Industry 4.0 transformation (Khin and Kee, 2022). In addition to this, knowing the expected benefits of Industry 4.0 transformation for their companies, the companies can make plans for sustaining their success.…”

Section: Research Questions 2-4mentioning

confidence: 99%

“…In the literature, there are papers that evaluate the drivers (M€ uller et al, 2018;Horvarth and Szabo, 2019;Sony and Naik, 2019;T€ urkes ¸et al, 2019;Lin et al, 2019;Kiraz et al, 2020;Nimawat and Gidwani, 2021;Narula et al, 2020;Srivastava et al, 2022;Nguyen and Luu, 2020;Krishnan et al, 2021;Khin and Kee, 2022), challenges and barriers (Schr€ oder, 2017;Sevinç et al, 2018;Luthra and Mangla, 2018;Kamble et al, 2018;T€ urkes ¸et al, 2019;Horvarth and Szabo, 2019;Agostini and Filippini, 2019;Raj et al, 2020;Chauhan et al, 2021;Cugno et al, 2021) and benefits and impacts (Santos et al, 2018;Schroeder et al, 2019;Lin et al, 2019;Masood and Sonntag, 2020;Zheng et al, 2020;Ghadge et al, 2020;Cugno et al, 2021) of Industry 4.0 transformation. Some of the papers examine Industry 4.0 transformation according to a factor such as company size, agility and automation.…”

Section: Introductionmentioning

confidence: 99%

Industry 4.0 transformation: factors affecting adoption and impacts on companies

Yüksel

2022

IJIEOM

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PurposeThe purpose of this paper is to determine the factors that affect Industry 4.0 applications, the expected impacts of Industry 4.0 applications in companies and to analyze the importance of these factors and the importance of expected impacts correlatively.Design/methodology/approachThis paper provides an empirical analysis of the factors affecting the adoption of Industry 4.0 transformation and its impacts on the companies. The paper is based on 103 valid answers to a questionnaire-survey distributed among companies in Turkey. The Pearson correlation analysis was conducted to determine the correlation between independent variables and dependent variables. Regression analyses were used to test the proposed hypotheses. A multiple regression analysis was used to investigate the causal relationship between independent and dependent variables. Linear regression method and stepwise regression method was employed for regression analyses. The factors that influence Industry 4.0 applications were determined as company size, technological level of products, budget allocation for R&D department, level of lean applications, level of agility/flexibility and level of automation; and the expected impacts of Industry 4.0 applications were determined as traceability of production processes, traceability of supply chain, flexibility of supply chains, communication between the partners of supply chain, productivity, real-time data analysis, integration between companies and integration in the company according to the literature reviewFindingsThe results of this research study revealed that, there is a stronger relationship between level of Industry 4.0 transformation and level of automation than there is between Industry 4.0 transformation and the other independent variables. From the analyses conducted, it can be stated that budget allocation for R&D and level of lean applications and level of automation had greater impacts on Industry 4.0 transformation than company size has. The independent variables included in the regression analysis had a positive effect on Industry 4.0 transformation of companies. However the effects of company size, technological level of products and level of agility/flexibility on Industry 4.0 transformation was weak. When the impacts of Industry 4.0 on companies were analyzed, it can be stated that there is a stronger relationship between Industry 4.0 transformation and real-time data analysis, traceability of production processes, integration in companies and productivity than there is between Industry 4.0 transformation and integration between companies, traceability of supply chains, flexibility of supply chains and communication between the partners of supply chain. It was determined that Industry 4.0 transformation generally impacts internal factors of company, while Industry 4.0 had limited impacts on the supply chains.Originality/valueAlthough there are studies that separately investigated the factors affecting Industry 4.0 transformation and the impacts of Industry 4.0 transformation on companies, the present study provides important contributions to the literature in terms of considering the importance levels of the factors affecting Industry 4.0 transformation and the importance level of impacts of Industry 4.0 transformation on companies as a whole and in relation to each other.

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“…Recent articles have also shown the influence of digitalisation on the relationship between servitisation and performance (Mart ın-Peña et al, 2020; Kharlamov and Parry, 2021;Abou-Foul et al, 2021). Despite the growing number of studies, the interplay between digitalisation and servitisation still remains a research priority (Raddats et al, 2019), and, in particular, the impact of Industry 4.0 technologies needs further investigation, also because a better understanding of benefits of such technologies could help manufacturing firms to evaluate opportunities and challenges of digital transformation (Khin and Kee, 2022).…”

Section: Introductionmentioning

confidence: 99%

Servitisation and performance in the business-to-business context: the moderating role of Industry 4.0 technologies

Bortoluzzi

Chiarvesio

Romanello

et al. 2022

JMTM

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PurposeThis article aims to contribute to the digital servitisation literature by investigating the interrelations amongst Industry 4.0 technologies, servitisation and the performance of manufacturing small and medium-sized enterprises (SMEs).Design/methodology/approachThe research uses survey data drawn from 200 manufacturing SMEs operating in the metals and machinery sector in Italy.FindingsThe study shows that Industry 4.0 technologies – Internet of Things (IoT), advanced simulation, cloud computing and Big Data Analytics (BDA) – positively moderate the relationship between servitisation and the performance of SMEs.Research limitations/implicationsThe study supports the need for firm managers of manufacturing SMEs to align servitisation and technological investments, suggesting that the synergic deployment of Industry 4.0 technologies supports servitisation performance.Practical implicationsThe study supports the need for firm managers operating in business-to-business contexts to align their technological investments and servitisation strategies, suggesting that the synergic deployment of these Industry 4.0 technologies empower the effectiveness of servitisation strategies in terms of performance achieved.Originality/valueThe study highlights the moderating role played by specific Industry 4.0 technologies in the servitisation–performance relationship, opening avenues for future research exploring the mechanisms that underpin this complex relationship.

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Factors influencing Industry 4.0 adoption

Cited by 74 publications

References 39 publications

Technological Acceptance of Industry 4.0 by Students from Rural Areas

Technological Acceptance of Industry 4.0 by Students from Rural Areas

Industry 4.0 transformation: factors affecting adoption and impacts on companies

Servitisation and performance in the business-to-business context: the moderating role of Industry 4.0 technologies

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