Extension of the DeLone and McLean’s information success model with leisure constraint model toward individual intention to visit tourist destination

Purpose This study strives to investigate individual behavior toward tourist destination with two well-known models namely the leisure constraint model and DeLone and McLean’s information success model. In addition to that this study has conceptualized moderating effect of destination image between the relationship of tourist intention to visit and intention to recommend tourist destination. Design/methodology/approach The present study is designed under the positivist paradigm. Data were collected from tourist visiting northern areas of Pakistan. The convenience sampling approach was employed for data collection. Overall, 213 questionnaires were retrieved from tourist visiting northern areas of Pakistan. Data were analyzed using the structural equation modeling approach. Findings Results demonstrated that collectively website design, system quality, information quality, service quality and travel constraints explained substantial variance Rˆ252% in tourist intention to visit northern areas of Pakistan. This research directs that adequate information quality, system quality and services quality on destination website will encourage tourist to visit and recommend northern areas of Pakistan. Practical implications Concerning the practical contribution the findings of this study contributes to travel and tourism literature and enhance understanding about traveling constraints including physical and technological constraints. Moreover, the current study directs that adequate system quality, service quality, information quality encourage tourist to visit northern areas of Pakistan. Similarly, this research has suggested that interpersonal and structural constraints are core traveling constraints and hence need policymakers' attention. Aside of managerial implications this study has also contributed to sustainable development goals SDGs 8 and SDGs 9 by emphasizing on factors use of digital technology, innovation and sustainable work which in turn contributes to economic growth. Originality/value This study has established an integrated model by combining two well-known theoretical models namely the Leisure constraint model and DeLone and McLean information success model. This study is also unique as it has established moderating effect of destination image on web between tourist intention to visit and intention to recommend tourist destination.

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Publication Details

Journal
LBS Journal of Management & Research
Published
2025-12-23
DOI
https://doi.org/10.1108/lbsjmr-10-2024-0112
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
0.00
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article

Extension of the DeLone and McLean’s information success model with leisure constraint model toward individual intention to visit tourist destination

Rizwana Rasheed, Aamir Rashid, Samar Rahi, Prof. Dr. Abdul Hafaz Ngah et al.
LBS Journal of Management & Research
Digital Marketing and Social Media
article

Extension of the DeLone and McLean’s information success model with leisure constraint model toward individual intention to visit tourist destination

Rizwana Rasheed, Aamir Rashid, Samar Rahi, Prof. Dr. Abdul Hafaz Ngah, Mahmoud Alghizzawi, Mubbsher Munawar Khan
article en

Abstract

Purpose This study strives to investigate individual behavior toward tourist destination with two well-known models namely the leisure constraint model and DeLone and McLean’s information success model. In addition to that this study has conceptualized moderating effect of destination image between the relationship of tourist intention to visit and intention to recommend tourist destination. Design/methodology/approach The present study is designed under the positivist paradigm. Data were collected from tourist visiting northern areas of Pakistan. The convenience sampling approach was employed for data collection. Overall, 213 questionnaires were retrieved from tourist visiting northern areas of Pakistan. Data were analyzed using the structural equation modeling approach. Findings Results demonstrated that collectively website design, system quality, information quality, service quality and travel constraints explained substantial variance Rˆ252% in tourist intention to visit northern areas of Pakistan. This research directs that adequate information quality, system quality and services quality on destination website will encourage tourist to visit and recommend northern areas of Pakistan. Practical implications Concerning the practical contribution the findings of this study contributes to travel and tourism literature and enhance understanding about traveling constraints including physical and technological constraints. Moreover, the current study directs that adequate system quality, service quality, information quality encourage tourist to visit northern areas of Pakistan. Similarly, this research has suggested that interpersonal and structural constraints are core traveling constraints and hence need policymakers' attention. Aside of managerial implications this study has also contributed to sustainable development goals SDGs 8 and SDGs 9 by emphasizing on factors use of digital technology, innovation and sustainable work which in turn contributes to economic growth. Originality/value This study has established an integrated model by combining two well-known theoretical models namely the Leisure constraint model and DeLone and McLean information success model. This study is also unique as it has established moderating effect of destination image on web between tourist intention to visit and intention to recommend tourist destination.

LBS Journal of Management & Research
City College of New York (US), Marketing Science Institute (US), Applied Science Private University (JO), Universiti Malaysia Terengganu (MY), Jefferson College of Health Sciences (US), Department of Commerce (AU), Institute of Finance and Banking (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 24%
Digital Marketing and Social Media
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