Browsing by Author "Fernandes, Relita"

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    Drivers in the fisheries domain: A bibliometric and text mining analysis
    (Elsevier, 2024) Fernandes, Relita; Sukthankar, Sitaram V.
    Fisheries have garnered attention from researchers throughout the last several decades. This sector's contribution has been recognised globally, leading to exponential growth in the number of research studies published in this area. Among all the dimensions from which this field has been explored, a critical theme under focus has been the drivers in the fisheries domain. Therefore, this study aims to provide a wholesome view of such studies that have explored drivers in the context of fisheries using bibliometric analysis and text-mining tools. Based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach, 322 studies on the theme were extracted from the Scopus and Web of Science databases. The studies extracted were analysed using VOSviewer and Orange software. The analysis uncovered the top journals and publishers in this domain and revealed the hidden patterns in the existing literature. The researchers posit that rather than judging the growth solely based on the number of citations and publications over the period, focus should be concentrated towards identifying themes that have gained immense attention from researchers over the years. The results indicate a shifting trend in recent times, centered on topics related to sustainability and climate change, among many more. The findings have important implications for researchers to make valuable contributions in this domain.
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    Drivers of Geographical Indication (GI) Tags’ Adoption Among Cashew Feni Producers: Extending the Theory of Planned Behaviour Using PLS-SEM
    (Multidisciplinary Digital Publishing Institute (MDPI), 2025) Sukthankar, Sitaram V.; Fernandes, Relita; Korde, Shilpa; Gaonkar, Sadanand; Sharma, Vikas
    This study explores the factors influencing the willingness of Cashew Feni producers to adopt GI certifications, delving deeper into the behavioural factors. This study is guided by the extended Theory of Planned Behaviour. This study was conducted in Goa, India, from June 2024 to January 2025 using a quantitative approach. Face-to-face interviews using structured questionnaires were conducted with Cashew Feni producers actively producing, processing, and distributing Feni in the key production regions. A total of 200 producers were approached, and after validation, 148 responses were considered valid for analysis. The respondents were chosen using a stratified random sampling method. This study employed Partial Least Squares-based Structural Equation Modelling (PLS-SEM) in the SmartPLS 4 software to analyse the data. This study found that attitude is a strong predictor significantly driving adoption. Perceived economic benefits also impact attitudes and directly affect the willingness to adopt GIs, emphasising the role of economic factors. Additionally, awareness influences attitudes and subjective norms, indicating that informed producers are likelier to have a positive attitude towards GI adoption. This study also found a significant impact of subjective norms on attitudes and perceived behavioural control. These insights can assist policy formulation and boost sustainable growth and cultural preservation.
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    Understanding Behavioral Intention to Adopt Electric Vehicles Among Motorcycle Taxi Pilots: A PLS-SEM Approach
    (Multidisciplinary Digital Publishing Institute (MDPI), 2025) Sukthankar, Sitaram V.; Fernandes, Relita; Korde, Shilpa; Gaonkar, Sadanand; Kurtikar, Disha
    Progressive advancements in the global economy and technology have propelled human civilization forward; however, they have also inflicted significant harm on the global ecological environment. In the present era, electric vehicle (EV) technology is playing a vital role due to its environmentally friendly technological advances. However, widespread adoption of EVs has been hindered by their limited travel range, inadequate charging infrastructure, and high costs. This can be closely observed when we assess the adoption of electric vehicles (EVs) among motorcycle taxi drivers, commonly called ‘pilots,’ in Goa, India. Motorcycle taxis are crucial in Goa’s transportation network, providing affordable, efficient, and door-to-door services, especially in regions with limited public transport options. However, the rising costs of petrol and vehicle maintenance have adversely affected the income of these pilots, prompting concerns about their willingness to adopt EVs. This study aims to analyze the factors prompting the behavioral intention to adopt EVs by motorcycle taxi pilots in Goa, India, focusing on six key determinants: charging infrastructure, effort expectancy, performance expectancy, price value, social influence, and satisfaction with incentive policies. A quantitative approach was employed, utilizing stratified proportionate random sampling techniques to collect data from 242 motorcycle taxi pilots registered with the Goa State Government Transport Department. It was analyzed using partial least squares-structural equation modeling (PLS-SEM) through Smart-PLS 4.0 software. The research highlights that performance expectancy and price value are the potential motivators for the adoption of electric vehicles. These findings suggest that pilots are more likely to embrace EVs when they perceive tangible benefits in performance and find the cost reasonable in relation to the value offered. The results offer actionable insights for policymakers, manufacturers, and other stakeholders. These insights can guide strategic decisions and policy frameworks aimed at fostering a sustainable and user-centric transportation ecosystem.