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.

Purpose: The purpose of this paper is to study the factors influencing the adoption of RFID technology and the relation between RFID technology adoption and supply chain performance for logistics companies.Design/methodology/approach: Determinants of RFID technology adoption are analyzed from the technological, organizational and environmental perspectives. Supply chain performance measurements consist of financial and non‐financial indices. Data were collected by means of delivering questionnaires to logistics service providers in China. A total of 574 logistics companies were analyzed.Findings: Logistics companies' willingness to adopt RFID technology are significantly influenced by the explicitness and accumulation of technology, organizational encouragement for innovation, quality of human resources, and governmental support. There is a positive association between the willingness to adopt RFID technology and supply chain performance for logistics service providers.Research limitations/implications: As a single‐country and single‐industry study, the current research may be limited in its generalizability.Practical implications: The growth of China's economy hinges to a large extent on the ability of the logistics industry to operate efficiently and effectively in the global supply chain system. China's logistics service providers need to adopt more efficient logistics technologies to provide better supply chain services for their customers. This paper provides some suggestions for governmental officials, logistics companies, and RFID technology providers in advancing the application of RFID in supply chains.Originality/value: This paper may be the first empirical research in analyzing the adoption of RFID technology and its association with supply chain performance in the logistics industry, especially for China's logistics industry.

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.