Reading the Tourist Mind: Indian Tourism The Next Decade

Aramberri, Julio

doi:10.1080/02508281.2004.11081426

Cited by 6 publications

(2 citation statements)

References 14 publications

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“…This study has several managerial implications. In recent times, few of the researchers (Gerberich, 2005;Bandyopadhyay, 2008;Dwivedi, 2009;Geneletti and Dawa, 2009;Shaw et al, 2010;Karanth and DeFries, 2011;Banerjee,2012;Mody et al, 2014;Tessitore et al, 2014;Jauhari, 2010;Harish, 2010;Tripathi et al, 2010;Yadav et al, 2010;Debata et al, 2013;Updhyay and Sharma, 2014;Aramberri, 2015;Tyagi et al, 2016) have explored the various dimensions of Indian tourism sector and tourists' behaviour. But the studies undertaken so far have investigated the different components related to tourism behaviour and destination brand selection intentions of the potential tourists in an unintended and less organized manner.…”

Section: Discussionmentioning

confidence: 99%

“…In the Indian context, few of the recent studies (Gerberich, 2005;Bandyopadhyay, 2008;Dwivedi, 2009;Geneletti and Dawa, 2009;Shaw et al, 2010;Karanth and DeFries, 2011;Banerjee, 2012;Mody et al, 2014;Tessitore et al, 2014) have tried to explore the various dimensions of Indian tourism sector and tourists' behaviour. Researchers have examined the different dimensions of tourists' attitude and preferences in Indian context where empirical data is being used in analysing the tourists' behaviour (Jauhari, 2010;Harish, 2010;Tripathi et al, 2010;Yadav et al, 2010;Debata et al, 2013;Updhyay and Sharma, 2014;Aramberri, 2015;Tyagi et al, 2016). But these studies have not indicated any evidence based modelling in optimizing the tourism marketing strategies.…”

Section: Jm2 124mentioning

confidence: 99%

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A RIDIT approach to evaluate factors influencing tourist destination brand selection behaviour pertaining to Indian tourism sector

Bhattacharya¹,

Kumar²

2017

JM2

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Purpose This paper aims to examine the components or factors influencing tourists’ destination brand selection behaviour in Indian context with evidence-based management modelling by using the Relative to an Identified Distribution (RIDIT) approach. This evidence-based tourism marketing research has contributed to enhance understanding the tourists’ motivation to support decision in tourism marketing domain. The present study has focused on identifying the most relevant factors in the order of priority that influence destination brand-choice behaviour pertaining to Indian tourism sector. The current research has also tried to arrange the different items relating to tourists preferences for better understanding the insight of potential tourists relating to Indian-tourist destinations. Design/methodology/approach A descriptive, survey research design was chosen to investigate and organize the different components or items in degrees of priority to explain the tourists’ destination brand selection behaviour. In total, 387 empirical tourist samples were collected across India covering both domestic and international tourist segments. An evidence-based management modelling with RIDIT analysis is done to examine the factors, which have influencing role on tourist-destination brand choice behaviour related to Indian tourism market. Findings The outcome of this research paper should enable the tourism marketers, tourism service providers, tourism brand managers and consultants to create better linkages between the prospective tourists’ preferences and the marketing mix of the destination brands by using evidence based management modelling. Originality/value The present research is an original and innovative thought process, trying to evaluate the components or factors influencing tourists’ destination brand selection behaviour pertaining to Indian tourism sector by using the RIDIT approach. Research undertaken so far in tourism marketing area has investigated the different components related to tourism behaviour and destination-brand selection intention of the potential tourists in an unintended and less organized manner. This study can be seen as the first empirical evidence in the domain of tourism marketing where evidence based management modelling with RIDIT approach is done.

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