Faculty Publications

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    Scientific Mapping of Gender in Sustainable Tourism Research: A Bibliometric Approach
    (Emerald Publishing, 2025) Talawar, A.; Sheena, S.
    The intersection of gender and sustainability in tourism research has gained significant attention across academic research and policymaking, focusing on Sustainable Development Goals (SDGs) that are closely aligned with the United Nations SDGs, particularly gender equality (SDG 5) and responsible consumption and production (SDG 12). Gender plays an important role in driving sustainable transformation in the tourism sector, influencing cultural and environmental conservation and socioeconomic aspects. This chapter discusses a bibliometric analysis of articles focusing on gender and sustain-ability in tourism research to elucidate publication trends, identify influential journals and prominent authors, and uncover key research themes and emerging hotspots of research trends. The Bibliometrix R package was employed to analyze 438 research articles selected from the Scopus database between the period 2015 and 2024. The findings indicated an increasing trend in publications, with a wide distribution of publications across numerous journals. Further, the Journal of Sustainable Tourism was the most influen-tial, and countries like Spain, China, and the United States have made noteworthy contributions in the area. India ranks the highest in single-country publications (SCP), indicating a notable emphasis on region-specific research. Meanwhile, the United States and China lead in the multiple-country publications (MCP), indicating higher international collaborative research efforts. Furthermore, the findings emphasize that gender-inclusive policies are essential to fostering innovation, advancing leadership roles, and promoting corporate sustainability and entrepreneur-ship within the tourism sector. Finally, gender-specific strategies are imper-ative for achieving sustainable transport and driving socioeconomic transformation, highlighting the need for tailored gender-sensitive strategies for sustainable tourism development. © 2026 Dhishna Pannikot. All rights reserved.
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    Recent Technological Developments in the Tourism Industry: A Bibliometric Analysis
    (Springer Science and Business Media Deutschland GmbH, 2024) Talawar, A.; Sheena, S.; Alathur, S.
    The tourism industry has witnessed substantial technological advancements in recent years because of the rapid growth of information and communication technologies (ICT). Previous literature indicates that most of the research has been focused on comprehending the application of various technologies in the tourism sector and their impact on consumer behavior. However, no bibliometric studies are undertaken to analyze the relevant publications, the effect of technology and the emerging trends in technology within the tourism industry. This study aims to conduct a bibliometric analysis to explore and evaluate these developments. Therefore, the study performed a bibliometric analysis of 1430 published research articles from the Scopus database for the period 2018–2022. The bibliometric analysis involved a performance analysis and science mapping of the publications using the Bibliometrix R package software. The results indicate an increasing trend in publications and the year 2022 recorded the highest number of articles published. The study found that Law R., Buhalis D., and Gretzel were the most productive authors in the last five years. Moreover, the analysis showed that the top ten journals accounted for one-third of the total publications. The conceptual structure indicated that the well-developed topics are represented by keywords such as innovation, Covid-19, tourism development, and destinations. Furthermore, the intellectual structure revealed three unique clusters indicating the theoretical foundations within tourism research, smart tourism and value co-creation in tourism. Finally, this study will benefit academicians and tourism marketers to gain insights into technological advancements and emerging trends in tourism research. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
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    The Advancements of Artificial Intelligence in Tourism and Hospitality Industry: A Bibliometric Review
    (Springer Science and Business Media Deutschland GmbH, 2025) Talawar, A.; Sheena, S.; Alathur, S.
    Technological advancements have progressed dramatically in recent times, with artificial intelligence (AI) emerging as a disruptive force reshaping various industries worldwide. AI has revolutionized multiple sectors by offering enhanced customer experiences, optimized processes, and personalized services. In the tourism and hospitality (T&H) industry, AI-driven technologies such as chatbots, virtual assistants, conversational service agents, and ChatGPTs allow travelers to plan their journeys and navigate travel complexities. Due to the rapid development and growing interest in AI applications within the T&H domain, the study conducts a bibliometric analysis to investigate the recent advancements of AI research in the T&H field, identify prominent and emerging research themes, and offer future research directions. A total of 343 documents published between 2018 and 2024 were retrieved from the Scopus database and analyzed using the Bibliometrix R tool. The findings reveal a growing trend in AI research in the domain, with journals such as the “International Journal of Contemporary Hospitality Management†and “Annals of Tourism Research,†which have been influential in AI literature. Key keywords identified include robotics, machine learning, chatbots, service robots, ChatGPT, and smart tourism, highlighting AI’s diverse applications. The co-word analysis revealed several themes, such as AI-driven robotics and automation addressing COVID-19 challenges, advanced computing techniques and immersive technologies like virtual reality and augmented reality offering enriched travel experiences. Finally, bibliometric review provides new insights for tourism organizations and researchers, emphasizing the transformative impact of AI advancements in T&H research. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
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    Predicting the Determinants of Augmented Reality Technologies in E-commerce Applications: A SEM and ANN Modeling
    (Springer Science and Business Media Deutschland GmbH, 2025) Anand, K.; Sheena, S.
    Augmented reality (AR) technologies are the most promising technologies for e-commerce applications. This study has used the UTAUT theory, extending with privacy risk, which may impact the user’s decision to try AR features in e-commerce apps. The paper investigated factors using a two-stage approach comprising of Structural Equation Model (SEM) and an Artificial Neural Network (ANN). The validation of the model is performed with the IBM SPSS AMOS 24 and IBM SPSS 25 software. The results revealed performance expectancy as a noteworthy determinant through the analysis. Further privacy risks involved while using AR features of online shopping apps negatively impact the influence on the choice of the users to try out the technology. The proposed model has explained the user behavioral intention with 36.7%, whereas using ANN has predicted with an accuracy of 48.9%, indicating the model has high predictive power. This study’s theoretical and practical insights will contribute to developing and refining augmented reality systems in e-commerce applications. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
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    Workplace spirituality, psychological well-being and mediating role of subjective stress: A case of secondary school teachers in India
    (Emerald Group Holdings Ltd., 2019) Mahipalan, M.; Sheena, S.
    Purpose: The purpose of this study is to assess the impact of spirituality on subjective stress and psychological well-being (PWB). Additionally, the study also examines the mediating role of stress in the spirituality – well-being relationship. Design/methodology/approach: The study is quantitative in nature. Data were collected from 322 secondary school teachers using a structured questionnaire. Partial least squares based structural equation modelling was used to analyse the data. Findings: Results indicated a positive relationship between spirituality and PWB but an inverse relationship between job stresses. Also, subjective stress was found to be a significant mediator in the relationship between spirituality and well-being. Social implications: The inner resource of spirituality among teachers can be tapped to cope with perceived stress levels thereby augmenting a sense of well-being. Psychologically clear and receptive minds are indispensable in the process of teaching. Originality/value: The present study combines the evolving construct of workplace spirituality with PWB and subjective stress, which are under explored in the social sector. © 2019, Emerald Publishing Limited.
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    Quality Dimensions of Augmented Reality-based Mobile Apps for Smart-Tourism and its Impact on Customer Satisfaction & Reuse Intention
    (Routledge, 2023) Anand, K.; Arya, V.; Sheena, S.; Sharma, A.
    The COVID-19 pandemic has severely affected the tourism industry, with national lockdowns aimed at curbing the spread of the virus mandating travel restrictions and prohibiting events and gatherings. The shift to online video conferencing tools, which offer limited interactivity, has spurred the need to integrate augmented reality (AR) in various contexts, such as meetings, exhibitions, museums, and travel. This quantitative study examines visitors’ perspectives on AR-based apps in tourism. It investigates the influence of three kinds of quality determinants, such as information quality, system quality, and service quality, on visitors’ perspectives on AR apps. Their impact on visitor satisfaction ultimately triggers visitors to reuse AR-based mobile apps. The research makes a theoretical contribution to the literature on AR and the quality dimensions of mobile apps. We expect demand for AR-based apps to rapidly increase, as people continue to follow preventive measures even after COVID-19. © 2022 Informa UK Limited, trading as Taylor & Francis Group.
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    Assessing the moderating effects of involvement on tourist attitudes and intentions through virtual reality applications
    (Emerald Publishing, 2024) Talawar, A.; Sheena, S.; Alathur, S.
    Purpose: This paper aims to evaluate the impact of various preview modes on tourist attitudes and intentions to visit a destination based on consumers’ level of involvement in travel decision-making. Design/methodology/approach: The study was conducted as a between-subjects one-factor [preview mode: static images vs 360-degree tour vs virtual reality (VR) mode] in a laboratory experiment setup to examine how consumers with different levels of involvement in travel decision-making respond to destination marketing toward three different preview modes. Findings: The findings indicated that VR preview mode highly influences tourist attitudes and visit intentions toward a destination compared to static images and 360-degree tours. This effect is more significant among participants with higher levels of customer involvement. Finally, the results from the study offer empirical evidence of the effectiveness of VR in shaping user behavior compared to traditional preview modes. Research limitations/implications: The limitations are using a non-probability sampling method, a small sample size and affordable mobile-compatible VR headsets. Practical implications: This study offers empirical evidence on the effectiveness of VR in shaping tourist behavior compared to traditional preview modes. It helps destination marketers develop appropriate strategies for promoting tourist destinations. Originality/value: The novelty of this paper lies in understanding the effectiveness of VR in shaping tourist behavior with different levels of customer involvement in travel decision-making. © 2024, Emerald Publishing Limited.
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    The influence of quality factors on AR-based mobile apps and its role in enhancing satisfaction and reuse intention behaviour - an empirical investigation
    (Inderscience Publishers, 2025) Anand, K.; Sheena, S.
    Superimposing the real world with computer-generated imagery promises enormous potential for business houses. Its application in industries has thus far been stunted by deficient studies. Appreciating the prevailing scenario, this study investigates and analyses the impact of quality characteristics (information quality, system quality and service quality) on satisfaction and reuse intention of this new contraption popularly known as ‘augmented reality’ or AR apps. Survey data collected from respondents were liberally used to demonstrate factors affecting AR app user satisfaction and reuse appeal towards AR apps. Measurement and structural modelling of data were analysed using Smart PLS v3.3.3. Analysing quality determinants on user satisfaction, an essential element that helps businesses improve their user services has been primarily focused on in this study and could assemble a significant contribution to AR literature. The findings of this study will benefit companies, policymakers, and app developer’s ways to attract new users. © © 2025 Inderscience Enterprises Ltd.