Privacy Concerns and Consumer Willingness to Provide Personal Information

Phelps, Joseph E.; Nowak, Glen; Ferrell, Elizabeth

doi:10.1509/jppm.19.1.27.16941

Cited by 787 publications

(706 citation statements)

References 21 publications

(66 reference statements)

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“…The results also shows that perceived risk are significantly influencing usage intention, which is consistent with previous research by Zhou [1]. The factors of espoused privacy protection measures and perceived benefits in exchange of disclosing private information [13], as well as the type of personal information being sought after [32] also represent considerations worth noting. Among the potential users of LBS, they perceived risk, nevertheless they intend to use LBS.…”

Section: Research Methodsologysupporting

confidence: 89%

Consumer Personality, Privacy Concerns and Usage of Location-Based Services (LBS)

Hin¹

2015

JOEBM

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Abstract-This paper examines the effects of the Big Five personality traits on concern for information privacy (CFIP) and the effects of the formulated concern for information privacy towards perceived risk, which in turn determine location-based services (LBS) usage intention. Data for this research was collected from 291 users and non-users of LBS. Result from Pearson correlation analysis indicated significant relationships exist between: (1) extraversion, and openness with collection; (2) extraversion, conscientiousness, and openness with improper access; (3) extraversion, conscientiousness, and openness with errors; (4) agreeableness, neuroticism, and openness with secondary use. All four dimensions of CFIP are found to have a significant direct relationship with perceived risk of using LBS. Implications for research and practice for location-based service providers are discussed.

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Section: Research Methodsologysupporting

confidence: 89%

Consumer Personality, Privacy Concerns and Usage of Location-Based Services (LBS)

Hin¹

2015

JOEBM

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“…Information sharing on social networks is done voluntarily, implying control and alleviating perceived risk. However, behavioral advertising raises privacy concerns as information is being involuntarily revealed [38]. The benefits of information sharing are immediate, while the consequences of privacy violations may appear delayed [1].…”

Section: Background and Related Workmentioning

confidence: 99%

Risk Communication Design: Video vs. Text

Garg

Camp

Connelly

et al. 2012

Lecture Notes in Computer Science

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Abstract. There are significant differences between older and younger adults in terms of risk perception and risk behaviors offline. The previously unexplored existence of this dissimilitude online is the motivation for our work. What are the risk perceptions of older adults? How are these correlated with the classic dimensions of risk perception offline? Can we leverage episodic memory, particularly relevant for older adults, to increase the efficacy of risk communication? We conduct a survey based experiment with two groups: video (n=136) and text (113). We find that leveraging episodic memory using video risk communication can improve the ability of elders to avoid phishing attacks and downloading malware. The applicability of the dimensions of risk were different based not only the risk but also the mode of risk communication.

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“…For example, most people want to have more control over the use of personal data to restrict unwanted commercial advertisements [36]. Issues of information control are essential in increasing the likelihood of consumers contributing information to online firms [42].…”

Section: R1: What Is the Specificity Of Privacy Management In The Locmentioning

confidence: 99%

Privacy-Friendly Business Models for Location-Based Mobile Services

Liu

Bonazzi

Fritscher

et al. 2011

J. theor. appl. electron. commer. res.

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This paper presents a theoretical model to analyze the privacy issues involved in business models for location-based mobile services. We report the results of an exploratory field experiment in Switzerland that assessed the factors driving the net payoff to users of mobile businesses. We found that (1) the personal data disclosed by users has a negative effect on user payoff; (2) the amount of personalization available has a direct and positive effect, as well as a moderating effect, on user payoff; and (3) the amount of control over a user's personal data has a direct and positive effect, as well as a moderating effect, on user payoff. The results suggest that privacy protection could be the main value proposition in the B2C mobile market. From our theoretical model, we derive a set of guidelines to design a privacy-friendly business model pattern for thirdparty services. We discuss four examples to show how the mobile platform can play a key role in the implementation of these new business models.

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Privacy Concerns and Consumer Willingness to Provide Personal Information

Cited by 787 publications

References 21 publications

Consumer Personality, Privacy Concerns and Usage of Location-Based Services (LBS)

Consumer Personality, Privacy Concerns and Usage of Location-Based Services (LBS)

Risk Communication Design: Video vs. Text

Privacy-Friendly Business Models for Location-Based Mobile Services

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