Current Issue
Volume 1, Issue 3 - 2026 (July-Sept 2026)
Issue Details:
Volume 1 Issue 3 (July-Sept 2026)Issue Description:
July-Sept 2026
Dr. Shikha Rana
Editor-in-Chief
International Journal of Management and Sustainability Practices
Articles in This Issue
Open AccessAnalyzing Utility Model Protection of Certain Technologies towards Waste Management Solutions in Developing Countries
This research examines It is no secret that developing countries like India and Sri Lanka are actively facing unresolved issues with waste-management. Despite having introduced laws and regulations in this sphere, the growing needs of their economy have ensured vast generation of waste. Rising needs of the industry and consumer usage has contributed to existing problems with waste segregation and treatment. Stories of horror concerning waste-sites have dominated news. Waste management is after all a resource-heavy process. When compared in relative terms, other items on municipal agenda attract said resources. To grow sustainably is to grow holistically and to take into consideration inter-generational equity. Where limited State resources in terms of financing waste management is concerned, a possible solution might lie in intellectual property law. Though sustainable development goals enunciated under the 2030 Agenda by the United Nations do not explicitly mention intellectual property, they do mention innovation and technology. Scholars have appreciated the link between climate change and patent law for instance, and even called for reformations in patent prosecution formalities, to encourage green innovations. But one the major problem with access to inventions is that, it is expensive. To ease the financial burden on the State, a lesser form of intellectual property may be the solution. Utility-Models are a category of intellectual property which looks to provide economic protection for innovations involving low inventive-step. In India, such innovations are called Jugaad Innovations. Its elder sibling, Patent, involves significant inventive-step. A policy reason for not promoting utility-models in these countries is a real possibility of its combined use with patent law to secure perpetual property rights. This paper looks to analyse the possibility of creating a sector-specific utility model system. It takes inspiration from countries where both patent and utility model system exist in mutual harmony. It weighs in, on the possible beneficial impact on waste management. In doing so, it would open up avenues for further research in the area
Contributors:
Open AccessBehavioral Biases and Investment Decision-Making: The Mediating Role of Trust in AI and the Moderating Role of Financial and Digital Financial Literacy: A Narrative Literature Review
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.
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Open AccessTechnostress and Productivity in the Digital Workplace: A Narrative Review
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.
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Open AccessSocial Enterprise Ecosystems and Sustainable Growth of Small Businesses in Nepal: The Role of Government Support, Entrepreneurial Networks and Innovation Capability
Small firms in emerging economies have a key role in job creation and value creation, but their potential for sustainable growth is dependent on the ecosystem of support that surrounds them. This article creates a conceptual model on how the social enterprise ecosystem affects the sustainable growth of small businesses in Nepal based on three constructs mentioned repeatedly in the literature: government support, entrepreneurial networks, and innovation capability. Through the synthesis of secondary literature sources – no interviews or other primary data collection occurred – on entrepreneurial ecosystem, social capital and networks, dynamic capabilities, absorptive capacity, and government support, together with Nepal-specific empirical evidence, the article proposes that the entrepreneurial networks and innovation capability act as proximate drivers of sustainable growth, while the government support is operating mainly indirectly, by strengthening networks and innovation capability rather than functioning as the proximate driver of growth in its own right. This is a proposition supported by recent Nepali survey evidence that shows that entrepreneurs in Nepal perceive government support as the least effective ecosystem factor, while entrepreneurial capability and socio-cultural support have shown significant positive effects on growth intentions. The article offers a conceptual model, five propositions, and discussion of theoretical and policy implications, thereby presenting the researcher with a testable model and policymakers with a better understanding of where investment in ecosystems will yield the most results in terms of small business growth in Nepal.
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Open AccessBeyond Purchase Intention: A Narrative Review of Perceived Benefits and Consumer Behaviour towards Electric Vehicles
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.
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Open AccessInsights into Artificial Intelligence Innovation, Challenges, and Emerging Trends in Business Education
Business education is being disrupted by artificial intelligence (AI), but its real-world uses and effects are still being noted in different fields of study. Outlining known academic databases from 2000 to 2025 and combining a meticulously chosen set of related studies is the most profound and stringent means for us to piece together what we know so far. In the study, AI-driven assessments, adaptive learning platforms, and business simulations were identified as among the most popular benefits. Also, it demonstrates that virtual assistants, generative AI based feedback, and immersive learning environments are on the rise. There is still divergence in areas such as inclusiveness, ethical governance, and long-term learning outcomes, although student engagement, analytical skills, and decision-making skills have been enhanced. According to experts, micro credentialing and AI-enabled experiential learning are both valuable. As well as issues with data privacy, transparency, and faculty readiness, expert insights focus on opportunities in micro credentialing, AI-enabled experiential learning, and industry-integrated curricula. For business education, an AI-assisted learning strategy exhibits strong potential when it comes to promoting innovation, adaptive learning, and employment prospects. To comprehensively implement them, however, teachers will need rigorous empirical studies, robust ethical protocols, and regular skills enhancement.
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