Investigating the effect of social endorsement on customer brand relationships by using statistical analysis and fuzzy set qualitative comparative analysis (fsQCA)

Thai, Trung Dam-Huy; Wang, Tien

doi:10.1016/j.chb.2020.106499

Cited by 32 publications

(49 citation statements)

References 98 publications

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“…For the binary variable of gender, the value of 0 denotes female and 1 denotes the opposite. As there are two conditions which are perceived health risk (PHR) and perceived privacy risk (PPR) relevant to the outcome of high usage frequency (USE), we followed Thai and Wang [ 96 ] to categorize the data set into four cases demonstrated in Table 6 .…”

Section: Data Analysis and Resultsmentioning

confidence: 99%

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Health vs. privacy? The risk-risk tradeoff in using COVID-19 contact-tracing apps

Tran

Nguyen

2021

Technology in Society

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In the midst of the COVID-19 pandemic, contact-tracing apps have emerged as reliable tools for public health communication and the promotion of preventative health. However, to function properly, contact-tracing apps require users to provide sensitive information, which has raised concerns about data disclosure, misuse and social surveillance. Little is known about how different types of risk perception simultaneously hinder and motivate individuals' engagement in mobile health apps, particularly in the context of a pandemic. Based on the privacy calculus theory and the risk-risk tradeoff concept, this study examined the risk-risk tradeoff model to enhance the understanding of COVID-19 contact-tracing app users’ decision from the perspective of risk minimization. Findings from PLS-SEM and fsQCA revealed that users engage in health risk-privacy risk tradeoff when evaluating and deciding to use the apps. The focal study therefore contributes to the research on privacy calculus theory and calls for a balanced managerial solution to mitigate this tradeoff dilemma.

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Section: Data Analysis and Resultsmentioning

confidence: 99%

“…Moreover, fsQCA provides no standards to measure the validity and reliability of the questionnaire as well as model fit. Considering the exclusive advantages and limitations of variance-based approaches and fsQCA, they should be used in a complementary rather than a substitute manner [ 96 , 101 ].…”

Section: Discussionmentioning

confidence: 99%

Health vs. privacy? The risk-risk tradeoff in using COVID-19 contact-tracing apps

Tran

Nguyen

2021

Technology in Society

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“…Subsequent studies have utilized this technique in various research designs. For instance, Thai and Wang (2020) and Wang et al (2021) employed fsQCA to examine the structural associations of social endorsement and customer-brand relationship. Huarng and Yu (2020) applied the technique to explore the impact of surge pricing and customer loyalty on satisfaction, thereby leading to customer retention in ride-sharing services.…”

Section: Fuzzy Set/qualitative Comparative Analysismentioning

confidence: 99%

Exploring individuals’ adoption of COVID-19 contact-tracing apps: a mixed-methods approach

Nguyen

Tran

2021

LHT

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PurposeDuring the challenging time of lockdown and isolation due to the coronavirus disease (COVID-19), contact-tracing apps have played a critical role in health communication and preventive healthcare. This study proposed and tested an extended technology acceptance model (TAM) with key health factors (i.e. health risk perception from COVID-19, health information orientation to COVID-19 and health consciousness) to understand individuals' adoption of COVID-19 contact-tracing apps.Design/methodology/approachA two-stage online survey was conducted to collect data on US individuals’ intention and actual use of COVID-19 contact-tracing apps. The sample comprises 288 valid responses. Partial least squares structural equation modeling (PLS-SEM) and fuzzy set/qualitative comparative analysis (fsQCA) were employed as the complementary approaches.FindingsThe findings from PLS-SEM revealed that health risk perception, health information orientation and perceived usefulness have positive net effects on behavioral intention, which, in turn, affects actual use. The results from fsQCA highlighted the explanatory power of the extended TAM to COVID-19 contact-tracing app adoption.Originality/valueAlthough TAM is considerably effective in measuring technology acceptance, the phenomenon is highly context-driven. How technological and health factors simultaneously motivate the use of contact-tracing apps has not been well documented. The present study offers some implications for practitioners concerned about fostering the adoption of mobile health services in the time of COVID-19. Methodologically, this study is among the first to blend PLS-SEM and fsQCA to measure the explanatory power of a structural model.

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“…Basically, our research model consists of the following stages. The QCA analysis is a research method between the case-oriented approach and the variable-oriented approach [24,25]. This method combines the advantages of the traditional qualitative research methods, taking the membership relationship between sets as the primary means.…”

Section: Methodsmentioning

confidence: 99%

“…The fsQCA method is suitable for studying social sciences, including economics and management [25]. It has been rapidly applied in management research in recent years and has been used in questionnaire design, second-hand data, and case studies [28].…”

Section: Methodsmentioning

confidence: 99%

User Acceptance of Information Feed Advertising: A Hybrid Method Based on SEM and QCA

Zhao

Yan

2020

Future Internet

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It is of great significance for enterprises’ development to effectively use mobile Internet to carry out information feed advertising. This paper aims to study the influence factors and effect of the users’ acceptance intention of information feed advertising through empirical analysis to provide references for further optimizing information feed advertising strategy. Traditional quantitative analysis methods, such as the Structural Equation Model (SEM), can only measure a single factor’s influence from an individual perspective. Therefore, we introduce the Qualitative Comparative Analysis (QCA) and present a two-stage hybrid method based on SEM and QCA. In the first stage, we analyze the influence of a single variable on the acceptance intention of information feed advertising by SEM. Then, in the second stage, we analyze the impact of different variable combinations by QCA. Based on the actual questionnaire data, we define six independent variables and use AMOS, SPSS, and fsQCA to carry out SEM analysis and the fuzzy-set-based QCA analysis, respectively. The SEM analysis results show that the four factors (including consistency, informativeness, sociability, and advertising reward) have a significant positive impact on user acceptance of information feed advertising. On the contrary, perceived advertising clustering has a significant negative impact. In addition, accuracy has no considerable effect. The QCA analysis reveals that seven constructs of six variables can all significantly enhance information feed ads’ acceptance intention.

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Investigating the effect of social endorsement on customer brand relationships by using statistical analysis and fuzzy set qualitative comparative analysis (fsQCA)

Cited by 32 publications

References 98 publications

Health vs. privacy? The risk-risk tradeoff in using COVID-19 contact-tracing apps

Health vs. privacy? The risk-risk tradeoff in using COVID-19 contact-tracing apps

Exploring individuals’ adoption of COVID-19 contact-tracing apps: a mixed-methods approach

User Acceptance of Information Feed Advertising: A Hybrid Method Based on SEM and QCA

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