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      An empirical investigation of the utilitarian, social benefits in LBS information disclosure—The moderating effect of the gender based social role theory

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          Highlights

          • Locatability, personalization and social benefit affect information disclosure intention.

          • Locatability shows the greatest impact on information disclosure intention in LBS.

          • Locatability and personalization are more important for female users in predicting information disclosure intention.

          • Social benefit has a more salient effect on information disclosure intention for male users than female users.

          Abstract

          The prior studies on information disclosure in location-based services (LBS) suggested that the perceived benefits of information disclosure in LBS were manifested by three benefits, namely, locatability, personalization, and social benefits. The three benefits might affect information disclosure intention differently. As an extension, individual factors, such as gender, may affect the relationship. However, according to literature, little research has investigated on the combined influence of the three benefits on the information disclosure intention in LBS with the gender as a moderator. Based upon the self-determination and social role theories, this study intends to bridge the gap empirically. The hypotheses are largely supported by 215 respondents. Unexpectedly, the research findings show that for females, locatability and personalization are more important in predicting their information disclosure intention, whereas for males, the social benefit has more of an impact on information disclosure intention, which is opposite to the hypotheses and convention. Furthermore, the research findings indicate that the behaviors of males and females may conform to the roles distributed within a society of this information age rather than to the personalities of the individuals. Finally, the implications are presented.

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          Most cited references55

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          Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories

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            Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory

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              The Predictive Sample Reuse Method with Applications

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                Author and article information

                Journal
                Int J Inf Manage
                International Journal of Information Management
                Elsevier Ltd.
                0268-4012
                0143-6236
                30 September 2020
                February 2021
                30 September 2020
                : 56
                : 102243
                Affiliations
                [a ]School of Management, Xi’an Jiaotong University, Xi’an, 710000, China
                [b ]School of Business, Pusan National University, Busan, 46241, South Korea
                [c ]College of Business, Southern University of Science and Technology, Shenzhen, 518000, China
                Author notes
                [* ]Corresponding author.
                Article
                S0268-4012(20)31442-0 102243
                10.1016/j.ijinfomgt.2020.102243
                7527186
                517eed97-7205-419b-b25d-575a975ac876
                © 2020 Elsevier Ltd. All rights reserved.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 7 April 2018
                : 10 September 2020
                : 10 September 2020
                Categories
                Research Note

                location-based service,information disclosure,gender,locatability,personalization,social benefits

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