Green finance (GF) has been gaining significant attention in recent literature, owing to the rise in global actions against the climate change. It is conceptually ambiguous, with no conclusive agreement among researchers on its meaning. Therefore, the main purpose of the study is to identify the bankers’ perception of various dimensions of GF, and identify the major challenges affecting its implementation in Bangladesh. Besides, this study also reveals the status of GF in Bangladesh’s banks and non-bank financial institutions from 2014 to 2019. In order to define the key aspects of GF through the data obtained from 296 banking staffs of private commercial banks (PCBs) in Bangladesh, confirmatory factor analysis (CFA) was used. The study also used descriptive statistics to identify the major challenges hindering the development of GF in Bangladesh. The findings of this study show that, in comparison with other banks and non-bank financial institutions, the PCBs are the largest contributors to direct GF, accounting for 74.2% of the total GF in Bangladesh. The outcomes of the study also identify the “economic dimension” as the most significant dimension affecting the level of bankers’ perceptions of GF. Moreover, the bankers perceived the “social and environmental dimensions” as being the second and third most crucial factors influencing GF, followed by sources of green financing. The empirical findings indicate that bankers of PCBs deemed the level of awareness, beliefs and understanding of the major dimensions of GF and sources of green financing to be satisfactory for the implementation of GF in Bangladesh. In addition, the study also shows that high transaction costs, heavy default culture, operational self-insufficiency, improper appraisal of loan applications, and the absence of adequate accountability and transparency are the major barriers to the development of GF in Bangladesh. Therefore, major policy implications are further discussed.

The unsustainable operations of producers account for significant carbon emission and subsequent adverse impacts on nature. This study aims to identify the factors that influence consumers’ green buying behavior. The research focuses on the exploratory testing of theories using standardized questionnaires and interviews. Using a convenience selection approach, questionnaire surveys were used to gather primary data from a sample size of 305. The sample demographic reflects people who often make purchases; data were also obtained from shopping centers and elsewhere. The hypothesis testing of variables measured via five-point Likert scale questions was performed using structural equation modeling. We applied closed-ended questions relating to green buying behavior for the convenience of respondents. The empirical result established the effects of attitude, perceived severity of environmental problems, environmental concern, and subjective norms on Bangladeshi consumers’ green buying behavior. Additionally, it was discovered that attitude mediates the association between the perceived environmental responsibility and green buying behavior. Therefore, the government should play a constructive role in educating the public and promoting green business initiatives through improved coordination and legislative intervention.

Augmented reality (AR) technology is a computer-generated object that allows users to enrich the experience of products virtually with graphics, images, etc. Due to a lack of studies in developing countries like Malaysia, more studies are necessary to understand the pressing factors of diffusing AR technology for the flourishing retail industry. This research aimed to explore the factors affecting the adoption of AR technology in the retail sector through an extension of the technology acceptance model (TAM). The conceptual model was developed based on additional open-innovation-related constructs to the existing TAM constructs. To test the model, data were collected from 233 retail stores in Malaysia using a structured questionnaire survey. The PLS-based structural equation modeling technique was used to analyze the data. The empirical results confirmed that, except for external support and trading partner pressure, other factors, including perceived usefulness, attitude, competitive pressure, customer pressure, perceived cost, and technological knowledge have significant influences on the intention to use AR technology in retail stores. The attitude mediates the relationship between perceived usefulness and behavioral intention and the relationship between self-efficacy and behavioral intention. As operating cost was a critical factor, managers are advised to deliver various packages of after-sales services and free installation charges to curb expenses. This study improved TAM by offering a comprehensive model with cognitive and open innovation factors and provided suggestions for retail stores when they attempt to adopt AR technology to develop an open business model.

The purpose of this study is to integrate the Diffusion of Innovation (DOI) theory and Technology, Organization and Environment (TOE) theory to examine the factors that affect the adoption of green supply chain management (GSCM) practices among SMEs in Malaysia. Twelve hypotheses were developed based on the integrating theories in technology adoption context. In this study, data were collected through questionnaire survey on the SMEs in Klang Valley Malaysia. A total of 298 responses were analyzed. The regression analysis method was used to test the hypothetical relationships among technological, organizational and environmental factors and SMEs’ intention to adopt GSCM practices. Research findings show that perceived relative advantage, perceived cost, top management support, complexity, compatibility, firms size, customer pressure, regulatory pressure and the quality of human resources are statistically significant factors influencing GSCM adoption among SMEs in Malaysia. However, observability and governmental support do not have significant effects on GSCM adoption intention. According to research findings, some implications which are valuable to academics and practitioners are also addressed. This study can serve as a guideline for successful implementation of GSCM among the SMEs in an emerging country.

The objective of this research is to identify factors affecting sustainable food consumption behavior among Malaysians. An extension of the theory of planned behavior (TPB) is used as the framework of the study. Perceived value is also added to the framework to gain an understanding of consumer’s personal factors’ effect on sustainable food consumption. This study tested eight hypotheses on sustainable food consumption behavior with empirical data from a sample of 220 adults. The regression analysis results show that social norm, perceived value, perceived consumer effectiveness, and attitude have significant impacts on intention to consumer sustainable food. Perceived availability, perceived consumer effectiveness and intention also have significant impacts on actual behavior. The findings of this study can provide certain grounds for understanding sustainable food consumption intention and behavior. Research limitations and some guidelines for further lines of research are presented. In a global context the findings of this study is important, as consumption patterns need to be changed to meet the climate challenge.

The objective of this research is to identify the antecedents affecting the behavioural intentions of local housing residences in using photovoltaic (PV) solar technology in their houses. An integrated model of behavioural intention to use PV solar technology is tested in this research. This study combined the theory of reason action (TRA), technology acceptance model (TAM), theory of planned behaviour (TPB) and diffusion of innovation (DOI) theory. Additional factors, including cost, awareness, and government initiatives, are also included in this model. The proposed model findings are based on empirical data from a sample of 382 residences in Malaysia. This study postulates that the intent to use PV solar technology is predicted by trialability, compatibility, perceived ease of use, relative advantage, observability, perceived behavioural control, attitude, subjective norms, cost, government initiatives, and level of awareness towards photovoltaic technology. The integrated model achieves 54% variance explained for usage intention of PV solar technology among housing residences in Malaysia. The findings suggest an integrated model for the acceptance intention of PV solar technology, which can assist stakeholders in planning, evaluating, and executing PV solar technology.