Exploring eco-innovation capability and operational performance of energy service companies: Does ownership structure make a difference?

IF 4.8 Q1 BUSINESS Business Strategy and Development Pub Date : 2024-09-05 DOI:10.1002/bsd2.70010
Russell Tatenda Munodawafa, Satirenjit Kaur Johl
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Abstract

Eco-innovation capability's enhancement of the operational competitiveness of Energy Service Companies (ESCOs) remains under explored in emerging markets. Furthermore, limited evidence exists on the influence of ownership structure on eco-innovation capability and operational performance. This study therefore examines the relationship between eco-innovation capability, ownership structure and operational performance of ESCOs. Questionnaires are electronically distributed to Operations Managers of 287 ESCOs registered by the Energy Commission in Malaysia. To test the direct and moderating effects, Partial Least Square-Structural Equation Modeling (PLS-SEM) is applied on 136 valid responses. Results suggest Eco-innovation Capability significantly enhances ESCOs operational performance, with the model explaining 66% (R2 = 0.656) of the variance. Furthermore, a concentrated ownership structure resulted in higher eco-innovation capability and operational performance. These results provide pathways for industry practitioners to improve sustainable development contributions and operational performance whilst providing policymakers with a benchmark towards evaluating the effectiveness of the National Energy Policy.

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探索能源服务公司的生态创新能力和运营绩效:所有权结构是否会产生影响?
在新兴市场,生态创新能力对提高能源服务公司(ESCO)运营竞争力的影响仍未得到充分探讨。此外,关于所有权结构对生态创新能力和运营绩效影响的证据也很有限。因此,本研究探讨了能源服务公司的生态创新能力、所有权结构和运营绩效之间的关系。通过电子方式向马来西亚能源委员会注册的 287 家ESCO 的运营经理发放了调查问卷。为了检验直接和调节效应,对 136 份有效答卷采用了偏最小平方结构方程模型(PLS-SEM)。结果表明,生态创新能力大大提高了ESCO 的运营绩效,模型解释了 66% 的方差(R2 = 0.656)。此外,集中的所有权结构会带来更高的生态创新能力和运营绩效。这些结果为行业从业者提供了提高可持续发展贡献和运营绩效的途径,同时也为政策制定者提供了评估国家能源政策有效性的基准。
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来源期刊
Business Strategy and Development
Business Strategy and Development Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
5.80
自引率
6.70%
发文量
33
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