Historical industrial transitions influence local sustainability planning, capability, and performance

Ba, Yuhao; Galik, Christopher S.

doi:10.1016/j.eist.2022.100690

Cited by 5 publications

(4 citation statements)

References 107 publications

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“…Further analysis specifically designed to explore the discrete mechanisms contributing to sustainability at the community level – be it institution-to-institution isomorphism or individual-to-individual peer effects – is necessary, as works to explore the structural relationships among these mechanisms (see, e.g. Ba and Galik, 2023). Greater insight into what is facilitating improvements in sustainability performance can help to refine existing theories of transformative HEIs while also demonstrating opportunities to help advance particular community priorities.…”

Section: Discussionmentioning

confidence: 99%

Individual and interlinked SDGs: higher education institutions and metro area sustainability performance

Vien,

Galik

2024

IJSHE

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Purpose Recent scholarship has explored higher education institutions’ (HEIs) role in transitioning to a sustainable society, but empirically, questions remain regarding their impact on the sustainability of surrounding areas. This study aims to examine the correlation between HEIs’ sustainability actions and local sustainability performance. Design/methodology/approach This study uses a linear regression model and principal component analysis to examine the sustainability performance of 105 US metropolitan statistical areas (MSAs) using the US cities sustainable development goal (SDG) index, which hosts 427 HEIs known for sustainability efforts. The weighted HEI sustainability performance score is calculated based on the QS sustainability universities ranking. Findings The correlation between MSA and HEI sustainability performance exhibits a mix of positive and negative associations, with individual and interlinked SDGs serving as proxies. These correlations encompass a wide range of goals, from economic aspects of SDG 1, 2, 3, 7, 9, social aspects of SDG10 and 16, to socio-environmental aspects of SDG12. Research limitations/implications Further exploration is needed to identify the causal mechanisms behind associations between SDG measures and HEI sustainability performance, whether influenced by the institution, the individual or both. Practical implications This study suggests that HEIs are already associated with some aspects of community sustainability, but greater contributions to a broader array of sustainability measures are possible. Social implications The correlation found between HEI sustainability actions and SDG10, 12 and 16 index performance in an MSA highlights a connection between HEIs and the attainment of societal goals. Originality/value To the best of the authors’ knowledge, this study is the first to examine the correlation between HEI and MSA sustainability performance in the US through individual and interlinked SDG proxies. It provides novel empirical evidence that demonstrates an association between HEI and some aspects of community sustainability performance.

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Section: Discussionmentioning

confidence: 99%

Individual and interlinked SDGs: higher education institutions and metro area sustainability performance

Vien,

Galik

2024

IJSHE

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“…Some scholars have concluded that the application of industrial robots will reduce employment opportunities through empirical testing [10][11][12][13]. The transformation towards industrial intelligence may lead to the loss of employment opportunities in the manufacturing and even service sectors, thereby affecting the achievement of sustainable employment development goals [14,15].…”

Section: Introductionmentioning

confidence: 99%

Does Industrial Intelligence Promote Sustainable Employment?

Guo

2024

Sustainability

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One of the key driving factors for achieving the goal of sustainable economic development is to ensure decent employment opportunities. This article explores the relationship between industrial intelligence and sustainable development in China from the perspective of employment. Based on interprovincial panel data from 2006 to 2019, using the fixed-effect regression model and mediating-effect regression model, this study empirically tests the impact of industrial intelligence on sustainable employment in China. The following conclusions are drawn: (1) Industrial intelligence has a significant positive impact on the overall scale of employment. Industrial intelligence has promoted the optimization and upgrading of employment skill structure and industrial structure. Industrial intelligence will reduce the employment proportion of low-skilled labor and increase the employment proportion of medium-skilled labor and high-skilled labor. Industrial intelligence significantly reduces the employment share of the manufacturing sector and increases the employment share of the service sector. (2) Industrial intelligence reduces employment levels through capital deepening effects. Industrial intelligence has significantly improved regional labor productivity and significantly improved employment levels through productivity effects. (3) The results of regional heterogeneity show that industrial intelligence has promoted the improvement of employment level and the upgrading of employment structure in the eastern region but has not had a significant positive impact on other regions.

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“…Sustainable innovation (SI), disruptive innovation (DI) and supply chain speed are important factors that can significantly impact how well manufacturing companies perform in terms of sustainability. This is especially important for these companies because they have been focusing on environmental and social practices for the past two decades (Wang and Sarkis, 2013; Ba and Galik, 2023). SI and supply chain speed are also driven by voluntary and competitive factors, as the supply chain industry requires rapid innovation.…”

Section: Introductionmentioning

confidence: 99%

“…The main challenges for businesses in achieving sustainable supply chain performance (SCP) include higher costs, the complexity of monitoring supply chains and issues with responsibilities and sustainability frameworks not being aligned across supply chains (Klassen and Vereecke, Sustainable innovation (SI), disruptive innovation (DI) and supply chain speed are important factors that can significantly impact how well manufacturing companies perform in terms of sustainability. This is especially important for these companies because they have been focusing on environmental and social practices for the past two decades (Wang and Sarkis, 2013;Ba and Galik, 2023). SI and supply chain speed are also driven by voluntary and competitive factors, as the supply chain industry requires rapid innovation.…”

Section: Introductionmentioning

confidence: 99%

Sustainable supply chain performance lesson from Malaysian manufacturing firms

Zailani,

Rahman,

Nizamani

et al. 2023

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Purpose This study aims to investigate the impact of sustainable innovation and disruptive innovation on sustainable supply chain performance of manufacturing firms in Malaysia. The study also examined the moderating role of supply chain clockspeed in the relationship between sustainable innovation, disruptive innovation and sustainable supply chain performance. Design/methodology/approach The data were collected from 231 respondents in manufacturing firms in Malaysia. The data were analyzed using the partial least square-based structural equation modelling (PLS-SEM) technique. Findings The findings revealed that sustainable innovation and disruptive innovation had a significant and positive effect on sustainable supply chain performance. Supply chain clockspeed moderated the relationship between sustainable innovation and sustainable supply chain performance. The findings also identified that there was no moderating effect on the relationship between disruptive innovation and sustainable supply chain performance. Research limitations/implications This study merely focuses on sustainable supply chain performance in Malaysian manufacturing firms. Samples from manufacturing firms in Malaysia were used in the current study, and the outcomes may vary for different nations. Practical implications To increase the firm’s commercial success, it is necessary to promote sustainable supply chain practices, including supply chain clockspeed, sustainable innovation and disruptive innovation. Originality/value This study adds to the body of knowledge by explaining the positive influence of sustainable innovation and disruptive innovation on sustainable supply chain performance in Malaysian manufacturing firms while also emphasizing the moderating role of supply chain clockspeed in this relationship. The contribution of this study could enable managers to develop sustainable supply chain performance in the manufacturing sector, based on sustainable innovation, disruptive innovation and supply chain clockspeed.

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Historical industrial transitions influence local sustainability planning, capability, and performance

Cited by 5 publications

References 107 publications

Individual and interlinked SDGs: higher education institutions and metro area sustainability performance

Individual and interlinked SDGs: higher education institutions and metro area sustainability performance

Does Industrial Intelligence Promote Sustainable Employment?

Sustainable supply chain performance lesson from Malaysian manufacturing firms

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