Role of big-five personality traits in predicting behavioral intention: A case of Indian corporate bond investors

Littering has been a subject of inquiry by environmental economists, as well as social and environmental psychologists, each using a different theoretical and analytical toolkit. While economists see littering as an externality problem or a market failure, psychologists see it as a social behavior problem. Regardless of the discipline, both theories have a common goal: What factors affect littering behavior and how can it be curtailed? This paper, therefore, adopts theory-triangulation approach to review theories concerning littering. It concisely reviews the economist’s and the psychologist’s approaches to littering and their respective solutions. The finding from this review is that the psychological approaches to litter control are narrower in coverage than the economic approaches in that the former are applicable to smaller environmental settings or areas, such as school premises, office places, factories, and market places, as opposed to such lager settings as cities, states or the country at large to which economic instruments are usually applied. Despite the plethora of research extolling the virtues of economic approaches to litter control, their real-world application has not caught on. One of the factors responsible for this is the implementation costs and difficulty involved. The economic instruments are costlier than the psychological instruments, because the former cover a larger setting and entail a lot of bureaucracies. To better understand littering and find appropriate solutions to it, studies on littering should consider looking at littering holistically from this interdisciplinary perspective. Both the economist’s and the psychologist’s approaches to litter control should be synthesized for sustainable waste management. However, policymakers need to consider the available financial resources and the multifarious views of litter in policies relating to litter. An option for policymakers is to minimize those costs associated with implementing economic instruments.

It is necessary to understand the customers’ perceptions of internet banking because it helps determining the direction and patterns of intention to continue using internet banking. This could also help bank policymakers to develop appropriate strategies to increase internet banking usage. The study aims to examine the determinants of user’s intention to continue using internet banking since there have been no systematic attempts to understand this aspect, especially in the Indian context. This research suggests and tests an extended model to predict the intention to continue using internet banking in India. The suggested study model was examined using survey data from 206 internet banking users. PLS-SEM was employed for data analysis. The findings imply that the most significant determinants of intention to continue using internet banking are service quality, trust, and user satisfaction. On the other hand, the study finds that intention to continue using internet banking is not impacted by system quality and information quality.

The rich body of literature examining the entrepreneurship education-entrepreneurship intention relations tends to neglect the influence of contingent and other mediating factors on the relationship. This elusion creates an erroneous assumption that entrepreneurship intentions are insulated from external influences and the entrepreneurship education-intentions relationship is an automatic, directly linear interaction. Contesting this premise, this research explores the influence of exposure to entrepreneurship education (EE), mediated by precursors (such as attitude, subjective norms and perceived behavioral control) to entrepreneurial intentions on the actual entrepreneurship intentions (EI) of vocational education students at a particular institution in Zimbabwe. Drawing on a cross-sectional research design and 154 randomly selected students, the study examines the extent to which they intended to engage in entrepreneurship careers in the near future. A non-parametric technique, the Spearman correlation test, and regression analysis were employed to test the relationships between EE on the direct determinants of EI, between the immediate determinants of EI and actual EI and to test a number of predictive effects. The results demonstrate that EE had a positive correlation with the direct determinants of EI. In addition, EE predicted all the immediate determinants of EI, except for subjective norms. Lastly, there was no evidence to support a direct predictive effect of EE on EI, controlling for other psychological factors. To a large extent, the results validated the Theory of Planned Behavior as a guiding tool for estimating any premeditated entrepreneurial behavior. Thus, the Theory remains an invaluable theoretical lens for academics, educators and policymakers’ evaluation of effective ways of enhancing the grooming of potential entrepreneurs.