International Journal of Management and Sustainability Practices

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.

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