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Background: The Malaysian healthcare system is under strain due to an aging population, the rising prevalence of chronic diseases, and heavy workloads among physicians. As costs and requirements continue to rise, telemedicine is critical for bridging gaps in supply and demand. However, there are limited studies on telemedicine adoption among Malaysian physicians. Furthermore, the existing literature on telemedicine adoption does not contain a comprehensive framework that integrates the multidimensional social influence, and technological, clinical, and individual factors. Objective: This research investigates the adoption of telemedicine among Malaysian physicians. It draws from the Technology Acceptance Model (TAM) and Kelman's Social Influence Theory. Methods: A survey was conducted among 230 participants in hospitals located in Kuala Lumpur and Selangor. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Results: The study identified crucial factors influencing telemedicine adoption, including informational influences, rewards, perceived ease of use, and usefulness. Meanwhile, the Importance-performance Map Analysis (IPMA) identified perceived ease of use as the most important factor for physicians, but the highest performance was patient's records. Conclusions: The proposed integrated model enhances the understanding of telemedicine adoption and highlights the differential effects of individual, technological, clinical, and multidimensional social influence factors from the physicians' perspective. The findings can guide future studies and influence implementation strategies for telemedicine promotion in the Malaysian healthcare context. Hospitals should prioritize user-friendly technology and information provision, while telemedicine providers should enhance the accessibility of patient records to facilitate telemedicine adoption. Policymakers should consider supporting training programs that will boost physicians' confidence in effectively utilizing telemedicine.

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Purpose: This study investigates the factors associated with the elderly's intention to use OGS. Building on the Technology Acceptance Model, we propose several elderly-specific and functional-ageing constructs related to the perceived ease of use and usefulness of OGS. Methods: The questionnaire was distributed physically and digitally to non-OGS users aged above 60, living in the Klang Valley, Malaysia, using a non-probability sampling approach. A total of 302 data were analysed using PLS structural equation modelling. Results: The findings indicate that perceived ease of use, functional ability, life-course events, and digital literacy are associated with the elderly's perception of OGS's usefulness, while life-course events, digital literacy, technology anxiety, and facilitating conditions are associated with the perceived ease of use. Conclusion: This study contributes to the OGS literature by addressing ageing complexities with OGS adoption among the elderly population, thereby offering insights for marketers and the government to tailor services and provide relevant support.

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Given the global call for more non-GDP-based indicators of national well-being, this study proposes a model incorporating economic and psychological (happiness) indicators. Considering the subjective nature of happiness, happiness measurements should incorporate individuals' inner strengths and satisfaction with their external environment. Furthermore, although numerous studies have found that positive psychology approaches can improve happiness, they have yet to be incorporated into any happiness models. Hence, this study proposes an integrated happiness framework that covers objective economic and subjective happiness factors to measure well-being beyond GDP. The study tests the model using survey data from Malaysia as a case study. A total of 1,368 participants were recruited with probability proportional to size. The study discovered that Malaysians' inner strengths are rated higher than their external conditions. It seems Malaysians do not live in a way that cultivates their virtues. Overall, the study suggests that inner strength is crucial in shaping happiness (150 words).

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This paper discovers the asymmetric relation between government size and economic growth in Malaysia, an emerging Asian economy, by utilising a dynamic threshold nonlinear approach. The study finds empiric evidence that the threshold effect linking government size to economic growth in Malaysia exists when two different proxies of government size are set as the threshold variable. On closer inspection, it is found that an inverted U-shaped Armey curve is present when allowing for endogenous government size threshold proxied by government operating/real GDP. However, a U-shaped curve of nonlinear relationship exists instead when the government investment/real GDP serves as the threshold variable. In general, this paper gives policymakers a real insight into the optimal government size in Malaysia especially when designing an effectual fiscal policy to advance sustainable economic growth to materialise its Shared Prosperity Vision by the year 2030.

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The population aging and an increased life expectancy are widely recognized social changes. Technologies are believed to improve the elderly's daily lives and maintain their health efficiently. Despite the advantage of adopting technologies, the elderly are slower to adopt new technologies compared to younger adults. This paper presents a Systematic Literature Review (SLR) to identify the different antecedents prevailing in the literature on elderly technology adoption. The SLR classifies and analyzes 26 relevant articles on elderly's technology adoption. Our findings revealed that quantitative approach and cross-sectional studies predominate in this field, building fundamentally upon the technology-driven theories. We identify seven categories of antecedents influencing elderly's use of technology, namely, technology, psychological, social, personal, cost, behavior, and environment antecedents. A conceptual framework for elderly's technology adoption and recommendations were presented. Particular attention is given to the need for in depth study for the antecedents, development of new measurement scales and investigation on the effectiveness of the proposed benefits after technology adoption.

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The present study investigates the impact of climate change on biodiversity loss using global data consisting of 115 countries. In this study, we measure biodiversity loss using data on the total number of threatened species of amphibians, birds, fishes, mammals, mollusks, plants, and reptiles. The data were compiled from the Red List published by the International Union for Conservation of Nature (IUCN). For climate change variables, we have included temperature, precipitation, and the number of natural disaster occurrences. As for the control variable, we have considered governance indicator and the level of economic development. By employing ordinary least square with robust standard error and robust regression (M-estimation), our results suggest that all three climate change variables - temperature, precipitation, and the number of natural disasters occurrences - increase biodiversity loss. Higher economic development also impacted biodiversity loss positively. On the other hand, good governance such as the control of corruption, regulatory quality, and rule of law reduces biodiversity loss. Thus, practicing good governance, promoting conservation of the environment, and the control of greenhouse gasses would able to mitigate biodiversity loss.

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This study investigates the impact of the aggregate and individual dimensions of environmental performance (EP) on financial performance (FP), based on a dataset covering the travel and tourism industry (airlines, casinos, hotels, and restaurants) across different economic regions over the period 2003-2014. The results reveal that EP positively affects the FP in the hotel industry when aggregate EP is used. When individual dimensions of EP are considered, resource reduction is found to positively (negatively) affect the performance in the hotel (airline) industry, while product innovation positively affects the performance in the restaurant industry. Hence, the trade-off effect seems to be dominant in the airline industry, and the 'heterogeneous resources and reputation-building' hypothesis is evident in both the hotel and restaurant industries. In addition, in general, the findings support the positive moderating effect of slack resources on the relationship between the individual dimensions of EP and FP in the travel and tourism industry, and, hence, are supportive of the slack resources hypothesis. These effects, however, vary depending on the travel and tourism industry under investigation.

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