Factors affecting tourists' intention to purchase: a study of Indian domestic tourists

Pandey, Neeraj; Srivastava, Vibhava

doi:10.1504/ijicbm.2013.053105

Cited by 7 publications

(3 citation statements)

References 1 publication

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“…While IBB has ignited interest in the Indian market and research related to IBT in India has picked up in the past couple of years, most studies have examined it from the perspectives of retailing (Pandey and Srivastava, 2013) or products (Pughazhendi and Ravindran, 2012;Ahmad, 2011). Some studies have looked at the role played by the differences between individuals and within that area the role played by personality traits such as IBT (Kalla and Arora, 2010;Khare, 2012;Bashar et al, 2013); however, these studies have been few and far between.…”

Section: Introductionmentioning

confidence: 99%

Impulse buying tendencies among Indian consumers: scale development and validation

Mittal

Chawla

Sondhi

2016

JIBR

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Purpose The purpose of this paper is to conceptualize, develop and validate the measurement of impulse buying tendency India, an emerging market in Asia. Design/methodology/approach The conceptualization of India’s impulse buying tendency (IBT) has been based on a review of academic literature and an analysis of qualitative data from 30 observations at retail stores and 25 in-depth consumer interviews. The scale’s reliability and validity were assessed by content, convergent, discriminant, nomological and predictive validity using statistical techniques such as exploratory factor analysis and confirmatory factor analysis. Findings A two-dimensional measure for IBT was developed for the Indian market, and then tested and validated using appropriate statistical measures. Research limitations/implications The study was skewed towards offline retail with both observations and interviews focusing on the bricks-and-mortar model. With e-retailing in India growing at a rapid rate, future research should extend the study and verify the IBT instrument’s validity specifically for impulse buying behaviour online. Originality/value To the best of authors’ knowledge, the present study is the first to bridge the gap in the existing research of impulse buying in context of emerging markets like India that are culturally, unlike both the western/developed and other Asian/emerging markets; and socio-economically, facing an interplay of variety of factors that are in a state of flux. The developed IBT scale would help by providing academics and practitioners with means of broadening their perspectives and understanding of retail behaviours in a context that is characterized by unprecedented consumer spending, increasing proliferation of modern retail and influence of a culture traditionally been given to simplicity and frugality.

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Section: Introductionmentioning

confidence: 99%

Impulse buying tendencies among Indian consumers: scale development and validation

Mittal

Chawla

Sondhi

2016

JIBR

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“…The hospitality and tourism industry has traditionally been conservative in terms of the adoption of technology, given the nature of this service industry (Buhalis et al , 2023; Leung and Law, 2013; Ozdemir et al , 2023; Pandey and Srivastava, 2013). Companies in the hospitality and tourism industry have been experimenting with the integration of Chatbots in customer service support and delivery (Calvillo, 2023).…”

Section: Introductionmentioning

confidence: 99%

Leveraging ChatGPT and other generative artificial intelligence (AI)-based applications in the hospitality and tourism industry: practices, challenges and research agenda

Dwivedi

Pandey

Currie

et al. 2023

IJCHM

Self Cite

147

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Purpose The hospitality and tourism sector has witnessed phenomenal growth in customer numbers during the postpandemic times. This growth has been accompanied by the use of technologies in customer interface and backend activities, including the adoption of self-serving technologies. This study aims to analyze the existing practices and challenges and establish a research agenda for the implementation of generative artificial intelligence (AI) (such as ChatGPT) and similar tools in the hospitality and tourism industry. Design/methodology/approach This study analyzes the existing literature and practices. This study draws upon these practices to outline a novel research agenda for scholars and practitioners working in this domain. Findings The integration of generative AI technologies, such as ChatGPT, will have a transformational impact on the hospitality and tourism industry. This study highlights the potential challenges of implementing such technologies from the perspectives of companies, customers and regulators. Research limitations/implications This study serves as a reference material for those who are planning to use generative AI tools like ChatGPT in their hospitality and tourism businesses. This study also highlights potential pitfalls that ChatGPT-enabled systems may encounter during service delivery processes. Originality/value This study is a pioneering work that assesses the applications of ChatGPT in the hospitality and tourism industry. This study highlights the potential and challenges in implementing ChatGPT within the hospitality and tourism industry.

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“…Policymakers recommend health-care consumers to be better informed about pricing before the treatment (Carlson, 2008). Informed decision-making leads to value-for-money deals and minimizes postpurchase dissonance (Tripathi and Pandey, 2021; Pandey and Srivastava, 2013). The competition among service providers and cost transparency would encourage fair market competition (Herzlinger and Wesley, 1997; Carlson, 2008).…”

Section: Introductionmentioning

confidence: 99%

Pricing information asymmetry in healthcare: stakeholder analysis and research insights

Mishra,

Pandey

2023

IJPHM

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Purpose This study aims to map and analyze health-care pricing information research. This work highlights current gap in pricing information research in health care and proposes future research avenues to academia and industry professionals. Design/methodology/approach A bibliometric method was adopted to analyze extant literature on pricing information asymmetry. Semistructured interviews were conducted with key stakeholders in health care to triangulate the findings. Findings Pricing information is crucial for all stakeholders including health-care consumers, providers and regulators. The popular research areas were the rising health-care cost, cost-saving, outcome-based pricing, price based on service supply and demand, insurance and out-of-pocket spending. Cost–quality perceived linkages, cost–demand correlation in health-care service and cost–price interlinked drivers were the dominant themes in extant literature. The study highlighted that pricing information asymmetry pushed patients from weaker sections into a debt trap due to unplanned out-of-pocket health-care expenses. The study suggests areas of research to minimize this pricing information asymmetry. Practical implications The emerging themes in health pricing asymmetry will help key stakeholders to identify areas for improvement and take remedial actions in the health-care domain. Originality/value This study is a pioneering effort to summarize extant literature published in the health-care information pricing domain and analyze it from a bibliometric perspective. The study also triangulates the finding with primary data from key stakeholders and highlights emerging research areas.

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Factors affecting tourists' intention to purchase: a study of Indian domestic tourists

Cited by 7 publications

References 1 publication

Impulse buying tendencies among Indian consumers: scale development and validation

Impulse buying tendencies among Indian consumers: scale development and validation

Leveraging ChatGPT and other generative artificial intelligence (AI)-based applications in the hospitality and tourism industry: practices, challenges and research agenda

Pricing information asymmetry in healthcare: stakeholder analysis and research insights

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