Investigating perceived risks and benefits of information privacy disclosure in IT-enabled ride-sharing

Cheng, Xusen; Hou, Tingting; Mou, Jian

doi:10.1016/j.im.2021.103450

Cited by 50 publications

(43 citation statements)

References 87 publications

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“…These differences in individuals’ information disclosure are increasingly gaining scholarly attention. 13 , 28 In Table 1 , we summarize existing research on the relationship between individual factors and willingness to disclose. Information boundary theory 29 has suggested that individuals rely on their traits to develop rules to form an informational territory around themselves with explicitly defined boundaries.…”

Section: Conceptual Background and Hypothesize Developmentmentioning

confidence: 99%

“…Such boundaries can be changed depending on the degree of benefits versus risks people perceived in sharing personal information. 3 Recent studies have found that individuals with low DTVP 3 and low privacy awareness 13 place less value on privacy, leading to lower perceived risks of data sharing; therefore, they are more willing to share private information. However, investigations exploring the reason for individual differences on willingness to disclose is limited.…”

Section: Conceptual Background and Hypothesize Developmentmentioning

confidence: 99%

“… Berendt et al, (2005) 32 Online store with an agent’s recommendations Privacy attitudes and behavior Experiment -Individuals vary in their disclosure intention of private data and can be classified into privacy fundamentalists, profiling averse, marginally concerned, and identity concerned. Cheng, Hou, and Mou (2021) 13 IT-enabled ride-sharing Disclosure intention Interviews, Survey -Privacy awareness positively affected perceived risks, and thus negatively correlated to the willingness to reveal personal information. Ghose et al, (2020) 33 Digital contact tracing Location data Secondary, Archival data -High-income individuals and males were more privacy-conscientious and unwilling to disclose private information than low-income people and females.…”

Section: Conceptual Background and Hypothesize Developmentmentioning

confidence: 99%

“…The information boundary theory recognizes that individuals’ personality traits act a pivotal part in managing the individuals’ information boundaries and thus the resulting personal data-sharing. 38 Although previous research examined the influence of an individual’s DTVP 3 and privacy awareness 13 on information disclosure, we concentrate on the impact of self-construal as another facet of individuals’ personality traits. Prior studies show that self-construal is a critical determinant of various aspects of individual behavior, such as impulsive consumption, 39 sustainable consumption behaviors, 40 consumer-brand relationships, 41 and mobile TV acceptance.…”

Section: Conceptual Background and Hypothesize Developmentmentioning

confidence: 99%

“… 3 Consequently, they tend to be reluctant to disclose their private data. 11 Of note is an emerging stream of studies that has examined how individual factors such as disposition to value privacy (henceforth DTVP) 3 , 12 and privacy awareness, 13 affect whether people place more emphasis on risk versus benefit associated with information disclosure and then their downstream willingness to disclose. Adding to this literature, we identify another individual factor that may impact individuals’ willingness to disclose: self-construal, defined as how individuals view themselves are relevant to others and the social environment.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

“I” Am Willing to Disclose, but “We” are Unwilling: The Impact of Self-Construal on Individuals’ Willingness to Disclose

Zhang¹,

Cui²,

Yao³

2021

PRBM

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Purpose: In the big data era, many institutions (ie, hospitals) and firms use various methods to encourage people to disclose more personal information to gain competitive advantages in many businesses, such as healthcare and the Internet of Things (IoT) devices. Discussions on antecedents of individuals' willingness to reveal private data from individual differences perspective are limited. Drawing on information boundary theory, we examine how selfconstrual prompts a different regulatory focus (promotion focus versus prevention focus), thus, affects individuals' willingness to disclose private data. Methods: A mixed-method approach was used to examine our hypothesis. Study 1 (N = 93, participants in China) manipulated self-construal in lab experiments and examined participants' actual disclosure behavior in the emerging IoT context of connected cars. Study 2 (an online survey, N = 200, participants in US) measured chronic self-construal in another disclosure context (healthcare app), replicating the preliminary effect and examined the mediating effect of the regulatory focus. Study 3 (an online experiment, N = 284, participants in US) tested the moderating effect of message framing. Results: Study 1 showed that participants primed an independent self-construal were more willing to share private information, whether it is real driving data or private identity information. Study 2 showed that independent (interdependent) self-construal individuals tend to have promotion focus (prevention focus), thus leading to higher (lower) willingness to disclose personal health information. Study 3 demonstrated that independent (interdependent) self-construal individuals are more willing to share information when presented with gain-framing (loss-framing) information. Conclusion: Independent (interdependent) self-construal positively (negatively) affects individuals' willingness to disclose and these effects will be mediated by regulatory focus and moderated by message farming. Our study provides a theoretical paradigm that is new to the willingness to disclose literature, and offers an effective, actionable strategy on how institutions and firms can facilitate individuals' personal information disclosure.

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Section: Conceptual Background and Hypothesize Developmentmentioning

confidence: 99%

Section: Conceptual Background and Hypothesize Developmentmentioning

confidence: 99%

Section: Conceptual Background and Hypothesize Developmentmentioning

confidence: 99%

Section: Conceptual Background and Hypothesize Developmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

“I” Am Willing to Disclose, but “We” are Unwilling: The Impact of Self-Construal on Individuals’ Willingness to Disclose

Zhang¹,

Cui²,

Yao³

2021

PRBM

View full text Add to dashboard Cite

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Fairness uncertainty and pay information exchange: Why and when employees disclose bonus pay to pay information websites

Brown,

Bamberger,

Bliese

et al. 2023

J Organ Behavior

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SummaryHaving limited information regarding how pay is distributed in their organization, employees often find it difficult to assess the fairness of their pay. Uncertainty management theory (UMT) posits that fairness uncertainty is aversive and that individuals experiencing it search for information to reduce this uncertainty. Pay information exchange – the communication of one's pay‐related information to others in return for information from that other – provides a mechanism to reduce pay information uncertainty. We focus on third‐party mediated pay information exchange (such as via Glassdoor and PayScale), an increasingly prevalent form of exchange. Drawing on UMT, we investigate why and when individuals exchange their pay information with such agents. Using data from a field experiment we find that (a) the willingness of employees to disclose their pay to a pay information exchange platform is influenced by perceived utility of a‐priori information offered by the exchange partner, but that this relationship depends on the salience of fairness uncertainty to the employee, and (b) employer pay communication restrictiveness only attenuates the impact of disclosure willingness on actual disclosure when individuals engage in deliberative thinking about such restrictiveness and its possible consequences. We discuss the implications for theory and practice.

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Decentralized Privacy-Preserving Solution Through Blockchain Smart Contracts and Spatial Cloaking for Ride Sharing Application

Fadhil,

Sukarno,

Wardana

2024

Lecture Notes in Networks and Systems

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Investigating perceived risks and benefits of information privacy disclosure in IT-enabled ride-sharing

Cited by 50 publications

References 87 publications

“I” Am Willing to Disclose, but “We” are Unwilling: The Impact of Self-Construal on Individuals’ Willingness to Disclose

“I” Am Willing to Disclose, but “We” are Unwilling: The Impact of Self-Construal on Individuals’ Willingness to Disclose

Fairness uncertainty and pay information exchange: Why and when employees disclose bonus pay to pay information websites

Decentralized Privacy-Preserving Solution Through Blockchain Smart Contracts and Spatial Cloaking for Ride Sharing Application

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