Understanding the Dynamics of Length of Stay of Tourists in India through Interpretive Structure Modeling

Lal, Madan; Kumar, Suneel; Anon, Shekhar

doi:10.20968/rpm/2018/vl6/i2/141019

Cited by 9 publications

(10 citation statements)

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“…The results obtained with respect to the effect of sociodemographic characteristics of the respondents in the LOS showed us that the age, the academic degree, being self-employed, students and foreign tourists are the variables that are statistically important and increase the LOS in Porto. These results are in vein with several other studies that argue that several sociodemographic characteristics of tourists affect the LOS (Barros and Machado, 2010; Brida et al., 2013; Collins and Tisdell, 2002; Cooper et al., 2007; Lal, Kumar and Anon, 2019). An interesting result was the exception of the gender and the marital status.…”

Section: Discussionsupporting

confidence: 90%

“…According to Wallace (2000) as the population has aged, it has become much more heterogeneous with respect to the purchasing power, educational level and health conditions and that will affect the consumption patterns and LOS in the tourism industry (Van den Berg et al., 2011). Then, travel behavior is more related to the life cycle stage in which the tourist is in, which gives rise to different behavior results in the LOS in terms of age, employment status, level of income, gender, profession, among others (Barros and Machado, 2010; Brida et al., 2013; Collins and Tisdell, 2002; Cooper et al., 2007; Lal, Kumar and Anon, 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

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Exploring the relationship between the length of stay and various determinants at one of the best European destinations

Vieira

Borges

Rodrigues

2021

Tourism and Hospitality Research

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Studies scrutinizing the tangible and intangible factors regarding the length of stay (LOS) in a destination are rare. The emotional factors have not always been integrated into this analysis. We have contributed to fill this gap in the literature considering the degree of happiness with the tourist destination. We used a sample of 1253 tourists and three regression models were estimated (OLS regression model, a Weibull survival model and a zero-truncated negative binomial) to study the LOS. We verified that the emotional factor related with happiness affects the LOS. Furthermore, regarding the managerial/practical implications it is important to highlight that the tourists who intend to visit the city have gastronomic and wine experiences, and, through their contact with the cultural heritage of the city, they will stay for a longer period of time. In addition to economic factors, as expenditures, there are also emotional and experiential aspects that influence LOS and these have to be included in the communication of a tourist destination. The attributes of a destination are not enough to influence the LOS. The destination must also be a set of experiences that will increase the happiness of the tourist with the destination.

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Section: Discussionsupporting

confidence: 90%

Section: Literature Reviewmentioning

confidence: 99%

Exploring the relationship between the length of stay and various determinants at one of the best European destinations

Vieira

Borges

Rodrigues

2021

Tourism and Hospitality Research

View full text Add to dashboard Cite

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“…The findings confirm that 'education,' 'age,' and tourist status as 'employers' were the most significant determining variables for the LOS of Indian domestic tourists. Age was found to be an important variable in the study by Lal et al (2019) in the context of Indian domestic tourists. Further analysis, applying the MARS model, also showed that 'self-employed' tourists tended to travel more like those falling into the 'employed' category.…”

Section: Discussionmentioning

confidence: 94%

Determining Factors of Length of Stay of Indian Domestic Tourists

Chatterjee

Rishi

2020

ajht

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There is a trend of shortening lengths of stay (LOSs) in tourism, coupled with more frequent trips. Since tourism revenue derives from the duration of stay of tourists at destinations, tourism marketers are interested in attracting those tourists who stay for longer, and thus more profitable durations. Indian domestic tourism is a huge market but it has been insufficiently researched. As a result, destination marketing organizations (DMOs) are constrained to depend more on hunches in their efforts to attract tourists. This study attempts to identify the determining factors of length of stay of Indian domestic tourists with empirical evidence adopting multiple regression and the MARS (multivariate adaptive regression splines) model. The findings fill an essential gap in the tourism literature, as pertains to lengths of stay at Indian destinations. They also help destination marketing organizations better understand the nuances of tourist behavior, so they can craft appropriate marketing strategies that attract those tourists who tend to stay for longer durations.

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“…Majumdar and Sinha (2019) used this technique to identify the barrier in adopting green practices in India’s textile industry and establish the interrelationship among the identified barrier. Lal et al (2019) identified the factors influencing tourists’ length of stay and developed a hierarchical relationship among them. ISM subjects to the respondent’s interpretation of the element’s relationship (Kumar & Shekhar, 2020b).…”

Section: Methodsmentioning

confidence: 99%

Determining Interrelationship Between Factors Impacting Foreign Direct Investment in Tourism: An ISM-based Approach

Gupta

Shekhar

2021

Asia-Pacific Journal of Management Research and Innovation

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The burgeoning spectrum of tourist demand and changing tastes and preferences calls for developing the nation’s tourism profile. India, one of the fastest-growing economies and a potential attractor of tourists, is estimated to be the world’s third-largest tourism economy by 2028 (as per World Tourism and Travel Council [WTTC] estimates) and is expected to draw massive investment in this sector. Thus, the present study aims to analyse various factors impacting foreign flows in the tourism sector and develops a hierarchical structure among the identified factors through the interpretive structural modelling (ISM) technique. A MICMAC (Matrix of Cross-Impact Multiplications Applied to Classification) analysis is performed to categorise the identified factors based on the driving power and dependence level. The interrelationships among the variables were derived from the opinion gardened from 50 research and industry experts. The results showed that political stability plays a critical component in driving other variables in the system. Also, a stable system is likely to impact the economic environment of a nation positively, thus, creating a desirable profile for investors to invest in tourism businesses or the development of destinations.

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Understanding the Dynamics of Length of Stay of Tourists in India through Interpretive Structure Modeling

Cited by 9 publications

References 0 publications

Exploring the relationship between the length of stay and various determinants at one of the best European destinations

Exploring the relationship between the length of stay and various determinants at one of the best European destinations

Determining Factors of Length of Stay of Indian Domestic Tourists

Determining Interrelationship Between Factors Impacting Foreign Direct Investment in Tourism: An ISM-based Approach

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