Browsing by Author "Anand, K."

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An empirical examination of user’s adoption of AR in e-commerce apps in a developing country: evidence from India
(Emerald Publishing, 2025) Anand, K.; S, S.
Purpose The e-commerce industry is witnessing rapid growth by offering convenience in shopping. However, it fails to provide a virtual experience of the products, creating excessive product returns and posing challenges to the companies, customers and environment. The use of augmented reality (AR) bridges the gap between the customers and products. The purpose of this study is to explore the customer perspective towards adopting AR in online shopping, which can reduce excessive product returns, creating sustainable business practices. Design/methodology/approach Online survey was used in the data collection process. A total of 1,029 valid responses collected via judgement sampling were analysed using covariance-based structural equation modelling with AMOS software. Findings Trust is significantly influenced by performance expectancy, effort expectancy, social influence and facilitating conditions. Likewise, performance expectancy, hedonic motivation and trust significantly affect behavioural intention. Meanwhile, effort expectancy, social influence, facilitating conditions on behavioural intention and hedonic motivation on trust were found to have an insignificant influence. Practical implications This study investigates users’ behavioural intention towards AR in online shopping apps using the Unified Theory of Acceptance and Use of Technology (UTAUT2) with trust in the Indian context, providing valuable insights into implementing AR technology and enhancing the realism of virtual product experiences. Originality/value This study aims to investigate users’ behavioural intention by providing a research model that extends the UTAUT2 model, including trust. The objective is to analyse the factors influencing the adoption of a novel technology in a developing country, specifically in the Indian context. © 2025 Emerald Publishing Limited
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 userâ€™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 studyâ€™s theoretical and practical insights will contribute to developing and refining augmented reality systems in e-commerce applications. Â© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
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.
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.
Thermal stability and high-temperature wear of Ti-TiN and TiN-CrN nanomultilayer coatings under self-mated conditions
(2007) Srinivasan, D.; Kulkarni, Trupti.G.; Anand, K.
Ti-TiN and TiN-CrN nanomultilayers were thermally stable retaining uniform and sharp layer interfaces up to 24 h at 773 K, without any oxidation or phase transformation accompanying each individual layer. Decreasing the multilayer spacing resulted in an increase in the hardness in both cases. The coating hardness was found to be independent of the substrate type, when applied on HS718, Ti64 and HCHCr substrates. In scratch testing, the multilayers displayed a better resistance to the onset of failure, as compared to the monolayer TiN. The substrate plasticity played an important role in determining the coating failure mode. Self-mated wear tests revealed the CrN-TiN system to exhibit the best wear behaviour, both at room temperature and at 773 K. The Ti-TiN coatings are more accommodative with all three substrates, as compared to TiN-CrN and TiN. 2006 Elsevier Ltd. All rights reserved.
Thermal stability and high-temperature wear of Ti-TiN and TiN-CrN nanomultilayer coatings under self-mated conditions
(Elsevier Ltd, 2007) Srinivasan, D.; Kulkarni, Trupti.G.; Anand, K.
Ti-TiN and TiN-CrN nanomultilayers were thermally stable retaining uniform and sharp layer interfaces up to 24 h at 773 K, without any oxidation or phase transformation accompanying each individual layer. Decreasing the multilayer spacing resulted in an increase in the hardness in both cases. The coating hardness was found to be independent of the substrate type, when applied on HS718, Ti64 and HCHCr substrates. In scratch testing, the multilayers displayed a better resistance to the onset of failure, as compared to the monolayer TiN. The substrate plasticity played an important role in determining the coating failure mode. Self-mated wear tests revealed the CrN-TiN system to exhibit the best wear behaviour, both at room temperature and at 773 K. The Ti-TiN coatings are more accommodative with all three substrates, as compared to TiN-CrN and TiN. © 2006 Elsevier Ltd. All rights reserved.