Understanding intentions to reduce energy consumption at the workplace by the employees: case of a developing country

Abstract

PurposeEnergy-saving behavior of individuals is essential to minimize energy use and reduce the emission of toxic gases. This study's actual focus is to find out the determinants of the energy-saving behavior of individuals in the workplace.Design/methodology/approachAs a theoretical research model, the extended theory of planned behavior (TPB) has been used to analyze the determinants of energy-saving intentions. A survey method is used to collect 289 valid data, and structural equation modeling (SEM) is used to analyze the data.FindingsThe final result shows that the variables attitude at home, subjective norm (SN) and descriptive norms positively impact intention to save energy at the workplace. In contrast, the construct attitude and perceived behavior control is insignificant in this research. On the other hand, the personal moral norm (PMN) is a powerful predictor of individual energy-saving intentions at the workplace.Originality/valueThis research provides insights that will help the organizations understand the behavior of individuals at the workplace for energy-saving intentions to formulate such policies that will enhance individuals' practice for energy savings.

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“…The implementation of green initiatives can help achieve environmental sustainability by reducing waste and consuming less energy and water. Such reduction in waste and energy consumption leads to cost-saving, ultimately increasing customer satisfaction and market growth (Baah et al, 2019;Akhound et al, 2022). Implementing green supply chain management can lead to enhanced cleaner production, which also helps reduce the cost associated with waste management, legal battle, fines and consequently, creates a green image in the market, increasing market share and improving sales (Agyabeng-Mensah et al, 2020).…”

“…Such reduction in waste and energy consumption leads to cost-saving, ultimately increasing customer satisfaction and market growth (Baah et al. , 2019; Akhound et al. , 2022).…”

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“…However, in recent years, the use of PLS-SEM has significantly increased compared to CB-SEM (Hair et al, 2019). Moreover, PLS-SEM is a well-known and widely applied discipline of social science, organizational management, management information system, human resource management, international management, Supply chain agility operations management, marketing management, hospitality management, management accounting, strategic management and supply chain management (Sosik et al, 2009;Nitzl, 2016;Akhound et al, 2021;Hair et al, 2011). Additionally, when the research has a complex model, exploratory in nature, has a lower sample size, especially business studies, PLS-SEM has been preferred (Ahmed et al, 2019).…”