Adoption of information and digital technologies for sustainable smart manufacturing systems for industry 4.0 in small, medium, and micro enterprises (SMMEs)

Li, Yang; Zou, Haobo; Shang, Chao; Ye, Xiaoming; Rani, Pratibha

doi:10.1016/j.techfore.2022.122308

Cited by 53 publications

(20 citation statements)

References 81 publications

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“…The disagreement with the statement about measuring how channels work together to achieve a desired outcome could indicate a lack of integrated multi-channel strategies. This could potentially hinder businesses' ability to provide a seamless customer experience across different channels, which is a key aspect of digital maturity (Yang et al, 2023).…”

Section: Discussionmentioning

confidence: 99%

“…In another study, Yang et al (2023) assessed the adoption of information and digital technologies for sustainable smart manufacturing systems in the context of Industry 4.0. The authors found that the adoption of advanced technologies and the bolstering of innovation capacity could significantly enhance the digital maturity of manufacturing companies.…”

Section: Introductionmentioning

confidence: 99%

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Measurement of digital maturity in medium-sized companies in the municipality of Tecomán, Colima, Mexico

Preciado Álvarez,

Ojeda Pérez

2023

rgn

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The present study aims to analyze the digital maturity of medium-sized companies in the municipality of Tecoman, Colima, Mexico, and the relation it as with the gender or level of study of the leader of the organization, by applying the Forrester four-dimension model. For this purpose, a mixed approach is used, selecting a sample of 40 economic units out of a total of 47 in the municipality, all medium-sized companies with between 51 and 250 employees. As a result, it was observed that the gender and level of education of the person in charge has no influence on the digital maturity of medium scale business.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Measurement of digital maturity in medium-sized companies in the municipality of Tecomán, Colima, Mexico

Preciado Álvarez,

Ojeda Pérez

2023

rgn

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“…The findings highlight the importance of parameters such as infrastructure cost, software engineering abilities, information sharing, employee inventiveness and legal compatibility. In addition, it indicates that combining the q‐ROF‐MEREC‐RS and q‐ROF‐DNMA methodologies provides a reliable and flexible decision‐making approach in IDT adoption for a sustainable smart manufacturing system [45]. However, Kumar et al.…”

Section: Exploring the Existing Technical Studies On Iiot Adoption Fo...mentioning

confidence: 99%

Factors influencing the adoption of industrial internet of things for the manufacturing and production small and medium enterprises in developing countries

Shah,

Hussain Madni,

Hashim

et al. 2024

IET Collab Intel Manufact

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Small and Medium Enterprises (SMEs) are steadily moving in the direction of implementing digital and smart technologies, including the Industrial Internet of Things (IIoT) for improving their products and services. The adoption of IIoT allows manufactures and producers to make quick decisions for improving productivity and quality in real‐time. For this purpose, the era of digital industrial revolution from IR 1.0 to IR 5.0 is briefly explained. In this research study, the authors have reviewed and analysed the existing reviews, surveys and technical research studies on IIoT technologies for the manufacturing and production SMEs to highlight the concern raised. Forty‐seven (47) influencing factors are identified and classified into four groups based on the TOEI framework. Based on the identified influencing factors, IIoT adoption model is proposed for the manufacturing and production SMEs to adopt the new IIoT technologies in their business environments. Furthermore, a comparative analysis of the influencing factors has been done for the adoption of IIoT to increase efficiency, productivity and competitiveness for the manufacturing and production SMEs in developing countries. The proposed IIoT adoption model will help future policymakers and stakeholders to develop policies and strategies for the successful adoption and implementation of IIoT in manufacturing and production SMEs in developing countries. Also, recommendations are suggested to encourage IIoT adoption in production and manufacturing environments so that manufacturers and producers can respond easily and quickly to highly changing demands, product trends, skills gaps and other unexpected challenges in the future.

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“…Prior literature highlights that I4.0 and sustainability represent key issues when planning and formulating new strategies (Piccarozzi et al, 2022). Therefore, both topics should be considered jointly as suggested by various authors (Yavuz et al, 2023;Yang et al, 2023). I4.0 provides immense opportunities for realizing sustainable manufacturing using the ubiquitous information technology infrastructure (Stock and Seliger, 2016).…”

Section: H3mentioning

confidence: 99%

Driving forces for industry 4.0 readiness, sustainable manufacturing practices and circular economy capabilities: does firm size matter?

Ali

Johl

2023

JMTM

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PurposeDespite just eight years remaining to meet the sustainable development goals (SDG, 2030), the manufacturing industry faces numerous challenges for small and medium-sized enterprises (SMEs). Some notable challenges include integrating sustainability, circular economy (CE), and industry 4.0 (I4.0) technologies in a productive manner. However, there is a paucity of evidence available on the role of institutional pressures and organizational resources to promote I4.0 and sustainability. To fill this void, this study develops and tests a model based on institutional theory and resource-based view (RBV) theory while also taking company size into view as a moderating construct.Design/methodology/approachTo test the study hypotheses and validate the model, data were obtained through a survey from 228 randomly selected SMEs manufacturing in China. Structured equation modeling and multigroup analysis were used to analyze the data.FindingsThe research findings indicate that institutional pressure has a positive effect on organizational resources (i.e., tangible and intangible), which are capable of orchestrating I4.0 readiness effectively. Also, I4.0 readiness has a positive effect on sustainable manufacturing practices and CE capabilities. Finally, firm size was revealed to be a significant moderator in driving overall integration.Practical implicationsBased on the findings, practical implications and future research directions are discussed.Originality/valueBased on the institutional and RBV theories, this research shows how SMEs could be influenced by different stakeholders to acquire and develop their resources and capabilities to accelerate I4.0 readiness that further enhances sustainable practices.

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Adoption of information and digital technologies for sustainable smart manufacturing systems for industry 4.0 in small, medium, and micro enterprises (SMMEs)

Cited by 53 publications

References 81 publications

Measurement of digital maturity in medium-sized companies in the municipality of Tecomán, Colima, Mexico

Measurement of digital maturity in medium-sized companies in the municipality of Tecomán, Colima, Mexico

Factors influencing the adoption of industrial internet of things for the manufacturing and production small and medium enterprises in developing countries

Driving forces for industry 4.0 readiness, sustainable manufacturing practices and circular economy capabilities: does firm size matter?

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