How COVID-19 stole Christmas: How the pandemic shifted the calculus around social media Self-Disclosures

Nabity-Grover, Teagen; Cheung, Christy M. K.; Thatcher, Jason Bennett

doi:10.1016/j.jbusres.2022.113310

Cited by 7 publications

(6 citation statements)

References 83 publications

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“…, 2019); the alternative approach involves the integration of supplementary variables into the original model, alongside perceived benefits and perceived risks, serving as antecedents to the intention of privacy behavior (Lee et al. , 2023a; Nabity-Grover et al. , 2023).…”

Section: Theoretical Background and Hypotheses Developmentmentioning

confidence: 99%

“…institutional privacy protection (Lee et al, 2023b) and so on. Specifically, there are two approaches: one involves enriching and refining the constituents of perceived benefits and perceived risks (Jozani et al, 2020;Eitiveni et al, 2023), or introducing additional antecedents to both (Eitiveni et al, 2023;Wang et al, 2016;Najafian et al, 2023;Kim et al, 2019); the alternative approach involves the integration of supplementary variables into the original model, alongside perceived benefits and perceived risks, serving as antecedents to the intention of privacy behavior (Lee et al, 2023a;Nabity-Grover et al, 2023). According to the dual-process models of decision-making, individuals frequently navigate a dual inclination.…”

Section: Theoretical Background and Hypotheses Development 21 The Pri...mentioning

confidence: 99%

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To disclose or to protect? Predicting social media users’ behavioral intention toward privacy

Chen,

Huang,

2024

IMDS

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PurposeIn the paradox of personalized services and privacy risks, what factors influence users’ decisions is considered an interesting issue worth exploring. The current study aims to empirically explore privacy behavior of social media users by developing a theoretical model based on privacy calculus theory.Design/methodology/approachPrivacy risks, conceptualized as natural risks and integrated risks, were proposed to affect the intention of privacy disclosure and protection. The model was validated through a hybrid approach of structural equation modeling (SEM)-artificial neural network (ANN) to analyze the data collected from 527 effective responses.FindingsThe results from the SEM analysis indicated that social interaction and perceived enjoyment were strong determinants of perceived benefits, which in turn played a dominant role in the intention to disclose the privacy in social media. Similarly, trust and privacy invasion experience were significantly related to perceived risks that had the most considerable effect on users’ privacy protection intention. And the following ANN models revealed consistent relationships and rankings with the SEM results.Originality/valueThis study broadened the application perspective of privacy calculus theory to identify both linear and non-linear effects of privacy risks and privacy benefits on users’ intention to disclose or protect their privacy by using a state-of-the-art methodological approach combining SEM and ANN.

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Section: Theoretical Background and Hypotheses Developmentmentioning

confidence: 99%

Section: Theoretical Background and Hypotheses Development 21 The Pri...mentioning

confidence: 99%

To disclose or to protect? Predicting social media users’ behavioral intention toward privacy

Chen,

Huang,

2024

IMDS

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“…In contemporary times, academic outcomes are rapidly disseminated using online media, and academic communication activities are no longer restricted to formal channels. Several emerging social media platforms, including Twitter (Zhang and Wang, 2021), Facebook (Nabity-Grover et al , 2023) and Reddit (Chadha and Kaushik, 2022), offer new ways of conducting quantitative research.…”

Section: Literature Reviewmentioning

confidence: 99%

Research on the evaluation of academic journals from a multidimensional fusion measurement perspective

Rong

Zhu

2023

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Purpose This paper aims to conduct a comprehensive analysis to evaluate the current situation of journals, examine the factors that influence their development, and establish an evaluation index system and model. The objective is to enhance the theory and methodologies used for journal evaluation and provide guidance for their positive development. Design/methodology/approach This study uses empirical data from economics journals to analyse their evaluation dimensions, methods, index system and evaluation framework. This study then assigns weights to journal data using single and combined evaluations in three dimensions: influence, communication and novelty. It calculates several evaluation metrics, including the explanation rate, information entropy value, difference coefficient and novelty degree. Finally, this study applies the concept of fuzzy mathematics to measure the final results. Findings The use of affiliation degree and fuzzy Borda number can synthesize ranking and score differences among evaluation methods. It combines internal objective information and improves model accuracy. The novelty of journal topics positively correlates with both the journal impact factor and social media mentions. In addition, journal communication power indicators compensate for the shortcomings of traditional citation analysis. Finally, the three-dimensional representative evaluation index serves as a reminder to academic journals to avoid the vortex of the Matthew effect. Originality/value This paper proposes a journal evaluation model comprising academic influence, communication power and novelty dimensions. It uses fuzzy Borda evaluation to address issues related to the weighing of single evaluation methods. This study also analyses the relationship of the three dimensions and offers insights for journal development in the new media era.

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“…Despite the growing number of analyses in the investigated issue, there is still a lack of studies dealing with the factors that influence the willingness of Generation Z to share personal information on social media Nabity-Grover et al, 2023;Trifiro, 2023;Wang et al, 2023a) or with the impact of privacy concerns on personalization and the subsequent reaction of consumers to data protection (Lee et al, 2022), even though a wide range of personal and contextual factors, such as network externalities resulting from the size of the platform, trust, or sensitivity to misuse of personal data, play a decisive role in the process of self-disclosure (Kim et al, 2019a;Lim & Shim, 2022). Moreover, this phenomenon is significant among Generation Z, which is considered to be natively technologically savvy.…”

Section: Introductionmentioning

confidence: 99%

Generation Z's perception of privacy on social media: Examining the impact of personalized advertising, interpersonal relationships, reference group dynamics, social isolation, and anxiety on self-disclosure willingness

Rózsa,

Ferenčáková,

Zámek

et al. 2024

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Research background: Consumers frequently exchange personal data for limited benefits from digital services, despite privacy concerns. This data enables digital providers to tailor content and enhance marketing communication, and digital services' effectiveness and efficiency. Purpose of the article: Utilizing the principles of privacy calculus theory, this study aims to identify how attitudes towards advertising (ATT), perception of advertising credibility (CRE), consumer susceptibility to interpersonal (II) and reference group influence (RGI), social isolation (SI) and social anxiety (SA) influence the willingness of Generation Z to disclose personal information on social media derived from the Generation Z privacy concerns (PC) and develop a prediction model for such behavior. Methods: Data was gathered using an online self-administered questionnaire from a sample of 451 Generation Z individuals. A non-random convenient sampling technique and binary logistic regression were used to quantify the influence of selected independent variables on the dispersion of values in the dependent variable under investigation. Findings & value added: The results highlight that Generation Z's self-disclosure willingness on social media is significantly influenced by attitudes toward advertising and consumer susceptibility to reference group influence. The effect of social isolation was also close to the required level of statistical significance. It means that positive attitudes towards advertising and high susceptibility to influence from reference groups enhance the probability of personal information disclosure. Being one of the few studies to address factors that influence the willingness of Generation Z to disclose personal information on social media, this study stands out for its holistic approach. Thus, combining various interconnected elements provides a fresh perspective to comprehend the intricate dynamics of Generation Z's relationship with privacy on social media.

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How COVID-19 stole Christmas: How the pandemic shifted the calculus around social media Self-Disclosures

Cited by 7 publications

References 83 publications

To disclose or to protect? Predicting social media users’ behavioral intention toward privacy

To disclose or to protect? Predicting social media users’ behavioral intention toward privacy

Research on the evaluation of academic journals from a multidimensional fusion measurement perspective

Generation Z's perception of privacy on social media: Examining the impact of personalized advertising, interpersonal relationships, reference group dynamics, social isolation, and anxiety on self-disclosure willingness

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