International Journal of Management and Sustainability Practices

The transition toward electric mobility has generated a substantial body of research on the psychological, economic, and social forces that shape consumer behaviour toward electric vehicles (EVs). The majority of this literature, however, has concentrated on purchase intention as the principal outcome variable, leaving the subsequent stages of the consumer decision journey comparatively under-examined. This narrative review synthesises findings from a broad cross-section of peer-reviewed studies to map how perceived benefits, comprising environmental, economic, functional, hedonic, symbolic, and policy-related dimensions, translate into purchase intention and, more importantly, how intention subsequently unfolds into actual purchase behaviour, post-purchase satisfaction, continuance, and advocacy. Drawing on established behavioural frameworks, including the theory of planned behaviour, the technology acceptance model, the unified theory of acceptance and use of technology, and the value-belief-norm theory, the review identifies consistent evidence that environmental concern and financial value remain robust predictors of intention, while hedonic and symbolic benefits exert an increasingly influential role in maturing EV markets. The review further highlights an emerging and consequential stream of research documenting the intention-behaviour gap, whereby stated willingness to purchase an EV frequently fails to materialise into an actual transaction because of contextual constraints such as budget, charging access, and vehicle body-style preferences. Post-purchase constructs, including satisfaction, task-technology fit, and green self-identity, are shown to determine continuance intention and word-of-mouth behaviour among existing owners. The review concludes by identifying conceptual and methodological gaps, most notably the scarcity of longitudinal and behavioural, as opposed to self-reported, data, and offers directions for future research and policy design intended to convert positive perceptions into durable adoption behaviour.

The advancement in digital technologies has not only redefined how tasks are accomplished and supervised but has created a novel source of stress referred to as technostress. The present paper presents a chronological description of the development of the construct of technostress, which started with its initial formulation through becoming established as an information systems research construct. It also describes the interrelationship between technostress and productivity at both the organizational and individual levels. With reference to the transactional theory of stress, the paper analyzes the technostress agents, which include overload, invasion, complexity, uncertainty, and insecurity, as well as the processes through which they contribute to poor performance. Special focus will be placed on the increasing impact of technostress in the context of the move towards remote and hybrid working conditions and the organizational and individual actions, or technostress inhibitors, suggested in order to reduce the negative implications of technostress. The article ends up demonstrating that technostress is not a random effect of digitalization but the result of a certain mismatch between the technological pressure and the human ability to cope with such pressure.

Narrative review of the research concerning the link between behavioral biases, investment decision making, and the rise of AI-powered financial technology is presented in this paper. In particular, attention is paid to the impact that the key concepts of behavioral finance such as overconfidence, herding, loss aversion, anchoring, mental accounting, and regret aversion have on the behavior of the investors. Then, the paper proceeds to the analysis of the rising popularity of robo advisors and other AI-powered financial solutions, underlining the importance of investor's trust to these technologies for their adoption and effectiveness. Algorithmic transparency and explainability of AI become particularly notable factors influencing confidence and adoption of AI-generated financial recommendations. The reactions of the investors to both behavioral biases and technology-enabled financial services are considered from the perspective of financial literacy of the investors. The paper suggests that these literacies might help investors cope with the digital nature of finances and make more effective decisions based on data from earlier researches. There is also a mention of the differences between demographic groups, like age or gender. The paper analyzes several researches to reveal common understanding, debates, and gaps in this field not to test any hypothesis. It should be noted that the impact of behavioral biases, investor’s trust, financial literacy, and the development of artificial intelligence in finance is underlined in the conclusion of the paper.