PurposeThe aim of this study is to estimate the relationship between technological innovation and corporate environmental performance among energy companies working in Egypt.Design/methodology/approachThe study extended the aim with the intention to assess the role of green financing in enhancing corporate environmental performance. Partial least squares (PLS)-based structural equation modeling (SEM) is applied to estimate the nexus among study variables.FindingsThe results indicated that technological innovation influenced environmental performance and has a positive impact on company performance. The role of green financing for environmental performance is also significant and positive. Moreover, corporate social responsibility (CSR) has insignificant role in environmental performance of the energy companies in the study context.Research limitations/implicationsThe study offers a valuable model for general managers of manufacturing organizations and policymakers to manage CSR, environmental strategy and green innovation in examining environmental performance. It can help to assist general managers of large manufacturing organizations to strengthen their internal resources like CSR, environmental strategy and green innovation to enhance environmental performance.Practical implicationsThe findings of this article will help the practitioners to design policies regarding sustainable energy systems and green finance in the presence of any natural calamity.Originality/valueThis study primarily complements the existing literature by establishing how green financing and CSR can augment and/or interact between technological innovation and corporate environmental performance under COVID-19 crises, in a developing country.
PurposeThe aim of the study is to examine the impact of the big data analytics capabilities (BDAC) on the organizational performance. The study also examines the mediating role of ambidexterity and the moderating role of business value of big data (BVBD) analytics in the relationship between the big data analytics capabilities and the organizational performance.Design/methodology/approachThis study collected primary data based on a questionnaire survey among the large manufacturing firms operating in UAE. A total of 650 questionnaires were distributed among the manufacturing firms and 295 samples were used for final data analysis. The survey was conducted from September to November in 2019, and data were analyzed based on partial least squares structural equation modeling (PLS-SEM).FindingsThe big data analysis (BDA) scalability is supported by the findings on the performance of firm and its determinants such as system, value of business and quality of information. The roles of business value as a moderator and ambidexterity as mediator are found significant. The results reveal that there is a need for managers to consider the business value and quality dynamics as crucial strategic objectives to achieve high performance of the firm.Research limitations/implicationsThe study has significant policy implication for practitioners and researchers for understanding the issues related to big data analytics.Originality/valueThis is an original study based on primary data from UAE manufacturing firms.
Supply chain performance has been a key element of competitive strategy to boost organizational productivity and profitability. In the United Kingdom (UK), a survey disclosed that approximately 40% of the UK's gross domestic product (GDP) was consumed on supply chain related activities. Because of the extensive use of gross domestic product (GDP) on supply chain, it is important to work on UK based supply chain companies and to reveal various factors to enhance supply chain performance. Therefore, the primary objective of the current study is to investigate the combine effect of audit determinants and leadership styles to enhance supply chain performance in UK based companies. Data were collected from audit department employees and other managerial employees who are closely related to supply chain activities. After analyzing the data through Smart PLS 3, it was found that audit and leadership styles played important contribution in supply chain performance. Moreover, top management and employee commitment to change maintained significant influence to enhance positive effect on audit and leadership. This study is much significant for UK supply chain companies to enhance supply chain performance.
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