Modeling the Multi-dimensional Facets of Perceived Risk in Purchasing Travel Online: A Generational Analysis

Sharma, Shavneet; Singh, Gurmeet; Pratt, Stephen

doi:10.1080/1528008x.2021.1891597

Cited by 39 publications

(43 citation statements)

References 94 publications

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“…Recent studies have employed structural equation modelling (SEM) when analysing data where multiple relationships are tested among constructs [68][69][70]. Partial Least Squares Structural Equation Modelling (PLS-SEM) and covariancebased SEM (CB-SEM) are two variants of SEM that are utilised for analysis [71].…”

Section: Discussionmentioning

confidence: 99%

Understanding Agile Innovation Management Adoption for SMEs

Sharma

Singh

Jones

et al. 2022

IEEE Trans. Eng. Manage.

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Research interest in Agile Innovation Management (AIM) has increased due to its growing popularity. However, little is known about adaptability by Small and Medium Enterprises (SMEs). This study examines the factors affecting intention to adopt AIM in SMEs. A conceptual framework is developed by combining internal and external environmental factors that influence adoption intention. Responses were received from 276 SMEs and analyzed using Covariance-Based Structural Equation Modelling (CB-SEM). The results confirmed that external environmental factors of mimetic isomorphism and normative isomorphism have a positive association with the intention to adopt AIM. Moreover, the internal environmental factors of top management championship, adhocracy culture, clan culture, and organizational readiness were confirmed to be positively associated with AIM adoption. This study provides one of the first empirical evidence of AIM for SMEs. In doing so, the study contributes both theoretically and practically towards understanding strategies that would enhance adoption by SMEs.

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Section: Discussionmentioning

confidence: 99%

Understanding Agile Innovation Management Adoption for SMEs

Sharma

Singh

Jones

et al. 2022

IEEE Trans. Eng. Manage.

Self Cite

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“…The study results also showed that income, education level, and the number of hotel stays affected customers' chosen risk reduction strategies, which provided new evidence to prove the impact of demographic characteristics on risk reduction strategies under the health-related crisis. Therefore, managers need to especially target facets of perceived risk salient with each targeted demographic group by providing different risk reduction strategies [64].…”

Section: Discussionmentioning

confidence: 99%

The Impacts of Perceived Risks on Information Search and Risk Reduction Strategies: A Study of the Hotel Industry during the COVID-19 Pandemic

2021

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This study examined the impacts of perceived risks on information search and risk reduction strategies as well as the relative importance of each risk reduction strategy. Multiple regression analysis was applied to analyze the sample of South Korean hotel customers and to test the hypotheses of the study. It was found that when hotel customers faced the same kind of risk, they adopted different information search strategies to reduce various risks during the COVID-19 pandemic. Moreover, ‘following hotel employee’s advice’ was perceived to be the most important information search strategy to reduce risks. This is the first study to compare the differences of perceived risk and information search strategies under the COVID-19 pandemic and normal conditions to help hotels to develop more effective strategies to recover from the pandemic. The results of the study should be interpreted with care since it was based on Korean hotel customers. The influence of cultural differences in perceived risk and information search strategy should be addressed in future studies. The study contributes to the tourism and hospitality information search and risk reduction strategy-related literature and recommends avenues for further research in the field.

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“…In recent years perceived risk has been widely studied in consumer behavior and attitudes. The literature has focused on online purchasing intentions ( Pelaez et al, 2019 ; Ahmed et al, 2021 ; Jain, 2021 ), buying behavior ( Wai et al, 2019 ; Tobi et al, 2020 ) impulse buying ( Wu et al, 2020 ) travel behavior ( Matiza and Kruger, 2021 ; Sharma et al, 2021 ), and customer loyalty ( Esmaeili et al, 2021 ). Perceived risk has been less studied in the advertising industry.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Chao et al (2020) studied the relationship between perceived privacy risk, psychological resistance and attitude to advertising, and found that perceived privacy risk had no significant effect on advertising attitude; Li et al (2016) and Kurtz et al (2021) studied location-based advertising (LBA) and found that perceived risk has an influence; in short video situational advertising, Zhang Meizhen confirmed the positive effect of perceived risk on psychological resistance and thus on consumers’ willingness to accept through the SOR model. The literature shows that most applications of perceived risk theory focus on the effects on online shopping intention or behavior ( Pelaez et al, 2019 ; Wai et al, 2019 ; Tobi et al, 2020 ; Wu et al, 2020 ; Ahmed et al, 2021 ; Jain, 2021 ; Matiza and Kruger, 2021 ; Sharma et al, 2021 ). There is less research on advertising avoidance in online targeted advertising, and there are inconsistencies in conclusions ( Chen et al, 2019 ; Chao et al, 2020 ).…”

Section: Literature Reviewmentioning

confidence: 99%

Research on the Influence Mechanism of Consumers’ Perceived Risk on the Advertising Avoidance Behavior of Online Targeted Advertising

et al. 2022

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In China, online sales continue to grow against the generally adverse effects of the COVID-19 pandemic on economic development. Although advertisers favor online targeted advertising for its precision, consumers may find it intrusive and avoid it. This study constructed a conceptual model based on Stimulus-Organism-Response (SOR) theory, Approach-Avoidance Theory, and Brand Avoidance Theory to investigate the influence mechanism of consumers’ perceived risk on the avoidance behavior of online targeted advertising via an online survey. Collected 436 validated data was analyzed through structural equation method in AMOS statistical software. Results showed that the positively influenced advertising avoidance, and negative emotions mediated the relationship between perceived performance risk, time-loss risk, freedom risk, and advertising avoidance, but perceived privacy risk did not influence advertising avoidance through negative emotions. Perceived COVID-19 risk moderates the effect of negative emotions on advertising avoidance. The findings provide important insights for helping governments, advertisers and online platforms into which risk perceptions influence advertising avoidance, and suggests ways to mitigate consumers risk perceptions for the mutual benefit of brands and users.

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Modeling the Multi-dimensional Facets of Perceived Risk in Purchasing Travel Online: A Generational Analysis

Cited by 39 publications

References 94 publications

Understanding Agile Innovation Management Adoption for SMEs

Understanding Agile Innovation Management Adoption for SMEs

The Impacts of Perceived Risks on Information Search and Risk Reduction Strategies: A Study of the Hotel Industry during the COVID-19 Pandemic

Research on the Influence Mechanism of Consumers’ Perceived Risk on the Advertising Avoidance Behavior of Online Targeted Advertising

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