A resource-based view on SMEs regarding the transition to more sophisticated stages of industry 4.0

Estensoro, Miren; Larrea, Miren; Müller, Julian M.; Sisti, Eduardo

doi:10.1016/j.emj.2021.10.001

Cited by 83 publications

(45 citation statements)

References 44 publications

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“…In other words, the most important enabling factors are those directly associated with IoT technology and infrastructure (Systems Integration and IoT Infrastructure). This is supported by a resource-based view on firms at an early stage of IoT diffusion, particularly when SMEs are characterized by having distinct pre-conditions and conditions for IoT/Industry 4.0 [87]. Therefore, the implication is that IoT technology and infrastructure-related factors are more important than organizational-related factors.…”

Section: Findings and Discussionmentioning

confidence: 99%

Prioritizing Enabling Factors of IoT Adoption for Sustainability in Supply Chain Management

2021

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Several studies have reported on enabling factors of IoT adoption, emphasizing the importance of key factors for successful IoT adoption. However, only a few studies have investigated enabling factors with consideration of a sustainability perspective and no similar study has focused on manufacturing from an emerging economy perspective. The main purpose is to investigate enabling factors of IoT adoption from a sustainability perspective. This study aims to (i) identify and select key enabling factors from a comprehensive literature review, and (ii) prioritize them using a multiple criteria decision-making approach, validated through industry experts’ opinions. The results showed that system integration and IoT infrastructure are the top enabling factors in increasing the overall success of IoT adoption. Furthermore, enabling factors of IoT adoption are directly connected with organizational resources/technological capabilities that support the resource-based view theory. Supply chain managers can use the findings of this study to guide and prioritize IoT adoption, and develop strategies for going forward with IoT settings, using the relative importance of enabling factors and interdependencies among them from the technological and organizational perspectives. To generalize these findings through benchmarking of enabling factors in manufacturing, a broader range of industries within the manufacturing sector should be considered in future studies.

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Section: Findings and Discussionmentioning

confidence: 99%

Prioritizing Enabling Factors of IoT Adoption for Sustainability in Supply Chain Management

2021

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“…This research is a survey research conducted on Small and Medium Industries (SMEs) with a branch of the food industry in Central Sulawesi, especially SMEs located in the Palu Bay Area and other affected areas (Estensoro et al, 2021;Zide and Jokonya, 2022). This research is quantitative and uses data in the form of numbers in statistical analysis.…”

Section: A II Methodsmentioning

confidence: 99%

Analysis of Resource Ownership of Small Medium Industry and Their Effect on Natural Disaster Preparedness in the Beach Area (Study on SMEs Food Industry Branch)

Adfar¹,

Tope²,

Lutfi³

2022

IJRISS

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Palu Bay is one of the bays in a seismically active area in Indonesia which is traversed by the Palu-Koro fault segment. In the aftermath of a major natural disaster in the Region on September 28, 2018 Palu City, Donggala Regency and Sigi Regency were areas that were most affected by this disaster, so it was necessary to identify the level of community preparedness, especially for SMEs in dealing with natural disasters in the future and how the impact of resource ownership will be that they have whether the resource significantly affects SMEs preparedness to face natural disasters. This research was conducted three years after the natural disaster in the Palu Bay Area. The assessment was carried out through a questionnaire involving 260 SMIs that were chosen randomly and from the four variables of SMEs resources studied, that the resources that had an effect on disaster preparedness were the capital variable, which was 0.07, the entrepreneurial variable was 0.35, the labor variable was -0.03, and the Information Technology variable is not significant. While the level of preparedness of SMEs in dealing with natural disasters in the future, 17.31% of respondents are stated to be "not ready", 60.90% "somewhat ready" and 23.8% "ready" while none of the respondents were "very prepared". This lack of readiness of SMEs clearly requires the attention of all stakeholders in fostering the resilience of SMEs.

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“…Digital transformation of organizations can only be achieved through people, who manage the process of transformation and who can assure the sustainability of organizations (Estensoro, Larrea, Müller & Sisti, 2021;Matt, Pedrini, Bonfant & Orzes, 2022;Swift, Donald, Pike & Lange, 2019). Digital leaders are mostly considered as people, Digital leaders are mostly considered as people, who are responsible to carry organizations successfully through digital transformation, but what they mean for the organizations is above this.…”

Section: Digital Leadership In the Era Of Digital Transformationmentioning

confidence: 99%

Di̇ji̇tal Li̇derli̇k Ölçeği̇ (Djl) Geli̇şti̇rme Çalişmasi

Büyükbeşe

DİKBAŞ

Klein

et al. 2022

Kahramanmaraş Sütçü İmam Üniversitesi Sosyal Bilimler Dergisi

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Since digital leadership has become a critical success factor for securing sustainability in companies, it is of great importance to define scalable characteristics of it. In literature, an adequate measuring instrument is not available for assessing the perceptions regarding digital leadership. This study is about digital leadership characteristics and aims to fill the mentioned research gap by developing a “Digital Leadership Scale” based on an empirical study conducted among 526 people working at different sectors in private and public enterprises in Turkey. After the data were collected, the scope and construct validity of the scale was tested using the statistical programs SPSS and AMOS. The internal consistency coefficient of the scale is .90. As a result of the exploratory and confirmatory factor analysis, the Digital Leadership Scale (DLS) was validated in 9 items and 2 dimensions, so it can be stated that it is a reliable measuring instrument.

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A resource-based view on SMEs regarding the transition to more sophisticated stages of industry 4.0

Cited by 83 publications

References 44 publications

Prioritizing Enabling Factors of IoT Adoption for Sustainability in Supply Chain Management

Prioritizing Enabling Factors of IoT Adoption for Sustainability in Supply Chain Management

Analysis of Resource Ownership of Small Medium Industry and Their Effect on Natural Disaster Preparedness in the Beach Area (Study on SMEs Food Industry Branch)

Di̇ji̇tal Li̇derli̇k Ölçeği̇ (Djl) Geli̇şti̇rme Çalişmasi

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