Dataset Information

Destination image's mediating role between perceived risks, perceived constraints, and behavioral intention.

ABSTRACT: This study aims to examine the effect of destination image, perceived risk, and perceived constraints on the behavioral intention of international tourists to revisit Pakistan. The study also seeks to assess the destination image's mediating role in the relationship between perceived risks, perceived constraints, and behavioral intention. A quantitative study with Partial least square structural equation modeling was used to investigate the research Hypothesis. The data was collected from international tourists who were in Pakistan or who had visited Pakistan. The findings revealed that perceived risks and perceived constraints negatively impact destination image and behavioral intention. On the other hand, destination image has a positive impact on behavior. Moreover, the study also proved the mediating effect of destination image among the relations of perceived risks, perceived constraints, and behavioral intention. These findings indicate that sometimes it is difficult for destinations to overcome constraints, so destination managers should provide value-added services for substitutes. A positive destination image can overcome risks and constraints, so destination managers should also promote destinations besides mitigating risks. Literature has discussed the mediating effect of destination image in different contexts. However, studies are scarce investigating destination image's effect in alleviating perceived constraints and perceived risks through negotiation mechanisms.

SUBMITTER: Nazir MU

PROVIDER: S-EPMC8326738 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundConsidering the increasing demand for health services by older people and the ongoing COVID-19 pandemic, digital health is commonly viewed to offer a pathway to provide safe and affordable health services for older adults, thus enabling self-management of their health while health care systems are struggling. However, several factors cause older people to be particularly reluctant to adopt digital health technologies such as mobile health (mHealth) tools. In addition to previously studied technology acceptance factors, those related to perceived risks of mHealth use (eg, leakage of sensitive information or receiving incorrect health recommendations) may further diminish mHealth adoption by older adults.ObjectiveThe aim of this study was to explore the relationship between perceived risks of using mHealth applications and the intention to use these applications among older adults.MethodsWe designed a cross-sectional study wherein a questionnaire was used to collect data from participants aged 65 years and older in the Netherlands. Perceived risk was divided into four constructs: privacy risk, performance risk, legal concern, and trust. Linear regression analyses were performed to determine the associations between these perceived risk constructs and the intention to use mHealth applications.ResultsLinear regression per perceived risk factor showed that each of the four constructs is significantly associated with the intention to use mobile medical applications among older adults (adjusted for age, sex, education, and health status). Performance risk (β=-.266; P=<.001), legal concern (β=-.125; P=.007), and privacy risk (β=-.100; P=.03) were found to be negatively correlated to intention to use mHealth applications, whereas trust (β=.352; P=<.001) was found to be positively correlated to the intention to use mHealth applications.ConclusionsPerformance risk, legal concern, and privacy risk as perceived by older adults may substantially and significantly decrease their intention to use mHealth applications. Trust may significantly and positively affect this intention. Health care professionals, designers of mHealth applications, and policy makers can use these findings to diminish performance risks, and tailor campaigns and applications to address legal and privacy concerns and promote mHealth uptake and health care access for older adults, especially during the COVID-19 pandemic.

Dataset Information

Destination image's mediating role between perceived risks, perceived constraints, and behavioral intention.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets