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Evaluating the Factors Influencing Citizens’ Satisfaction towards E-Governance Services
(Canadian Perspectives on Academic Integrity, 8(5), 1-12, 2025) Korde, Shilpa
The present study focuses on knowing how well-informed the citizens are about the e-governance services and
measuring how satisfied citizens are with the e-governance services offered by the Goa Government. For this
purpose, a sample of 150 respondents has been selected and studied. Data was collected through a designed
questionnaire and analysed using the chi-square test, ANOVA, and factor analysis. An outcome of the study
reveals that citizens are well informed about the e-governance services, and the elements such as reliability,
security and privacy, citizen support, and transparency have a significantly positive impact on citizens'
satisfaction in the state of Goa.
Drivers of Geographical Indication (GI) Tags’ Adoption Among Cashew Feni Producers: Extending the Theory of Planned Behaviour Using PLS-SEM
(World 2025, 6, 119., 2026) Korde, Shilpa
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.
Understanding Behavioral Intention to Adopt Electric Vehicles Among Motorcycle Taxi Pilots: A PLS-SEM Approach
(World Electr. Veh. J. 2025, 16, 309, 2026) Korde, Shilpa
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.
Evaluating the Antecedents of Tourists’ Behavioural Intentions Towards Food Preferences in Goa, India: The Mediating Role of Food Aesthetic Experience
(Tourism and Hospitality, 6(4), 159, 2026) Korde, Shilpa
Food tourism is growing in travel experiences, with tourists increasingly drawn to culturally
authentic and aesthetically engaging food. Understanding the psychological and
experiential factors shaping these preferences is crucial for enhancing tourist visit intentions.
Therefore, this study examines the factors such as attitudes (ATT), subjective norms (SN),
perceived behavioural control (PBC), and food aesthetic experience (FAE) that influence
tourists’ behavioural intentions towards food preferences (BIFP) in Goa, India. The research
extends the theory of planned behaviour (TPB) by incorporating food aesthetic experiences
as a mediating factor. A quantitative approach was employed, involving a structured questionnaire
based on a five-point Likert scale, administered to 217 tourists visiting Goa, India,
who were selected through a random sampling method. Data were analysed using Partial
Least Squares–Structural Equation Modelling (PLS-SEM) through SmartPLS 4.0. Results
show that attitudes, subjective norms, perceived behavioural control, and food aesthetic
experience significantly influence tourists’ behavioural intentions towards food preferences.
Food aesthetic experience emerged as a strong mediator, particularly between attitudes,
perceived behavioural control, and tourists’ behavioural intentions towards food preferences.
These findings highlight the role of sensory appeal in shaping culinary choices. The
study concludes that a holistic approach, supported by cultural education and stakeholder
collaboration, can enrich tourist experiences and support food tourism development.
Smart Crowd Detection and Management System
(ASST. PROF. ANKITA FALLDESSAI, 2026) DIAS CHRIS FRANCO; MEVIN QUADROS; SAHEEL SHAIKH; SAIESHWAR MALKARNEKAR; YASH SATISH BHANDARI
Crowd crushes and stampedes are tragic yet preventable incidents. The tragedy during the RCB celebration at M. Chinnaswamy Stadium highlighted the consequences of inadequate crowd monitoring.
Smart Crowd Detection and Management System is designed to address this issue through an AI- powered, real-time surveillance system. The system uses a Raspberry Pi 5 integrated with a camera module to run two AI models: YOLOv11n for crowd counting and density estimation, and YOLOv8 Pose for fall detection.
When abnormal conditions such as overcrowding or falls are detected, the system instantly alerts security personnel through a Flutter-based mobile application. Alerts include geolocation data via Google Maps and automated voice calls using Twilio.
The solution is real-time, cost-effective, scalable, and suitable for deployment in public venues such as stadiums, railway stations, malls, and festivals.