IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v17y2015i2d10.1007_s10796-013-9413-1.html
   My bibliography  Save this article

Understanding user adoption of location-based services from a dual perspective of enablers and inhibitors

Author

Listed:
  • Tao Zhou

    (Hangzhou Dianzi University)

Abstract

Location-based services (LBS) can present the personalized information and services to users based on their positions and contexts. This may improve users’ experience and bring a positive utility to them. However, their privacy concern may be aroused and perceived risk be increased because LBS need to utilize their location information. From a dual perspective of enablers and inhibitors, this research examined the factors affecting user adoption of LBS. Enablers include perceived usefulness and trust, whereas the inhibitor is privacy risk. The results indicate that contextual offering is the main factor affecting trust, whereas ubiquitous connection is the main factor affecting perceived usefulness. Privacy concern affects privacy risk. Trust has significant effects on perceived usefulness and privacy risk. And these three factors predict user adoption and usage behavior.

Suggested Citation

  • Tao Zhou, 2015. "Understanding user adoption of location-based services from a dual perspective of enablers and inhibitors," Information Systems Frontiers, Springer, vol. 17(2), pages 413-422, April.
  • Handle: RePEc:spr:infosf:v:17:y:2015:i:2:d:10.1007_s10796-013-9413-1
    DOI: 10.1007/s10796-013-9413-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-013-9413-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10796-013-9413-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Young Mee Shin & Seung Chang Lee & Bongsik Shin & Ho Geun Lee, 2010. "Examining influencing factors of post-adoption usage of mobile internet: Focus on the user perception of supplier-side attributes," Information Systems Frontiers, Springer, vol. 12(5), pages 595-606, November.
    2. Varnali, Kaan & Toker, Ayşegül, 2010. "Mobile marketing research: The-state-of-the-art," International Journal of Information Management, Elsevier, vol. 30(2), pages 144-151.
    3. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    4. Eastlick, Mary Ann & Lotz, Sherry L. & Warrington, Patricia, 2006. "Understanding online B-to-C relationships: An integrated model of privacy concerns, trust, and commitment," Journal of Business Research, Elsevier, vol. 59(8), pages 877-886, August.
    5. Anthony Vance & Christophe M. Elie-Dit-Cosaque & Detmar W. Straub, 2008. "Examining Trust in Information Technology Artifacts: The Effects of System Quality and Culture," Post-Print halshs-00641137, HAL.
    6. Naresh K. Malhotra & Sung S. Kim & Ashutosh Patil, 2006. "Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research," Management Science, INFORMS, vol. 52(12), pages 1865-1883, December.
    7. repec:dau:papers:123456789/2723 is not listed on IDEAS
    8. D. Harrison McKnight & Vivek Choudhury & Charles Kacmar, 2002. "Developing and Validating Trust Measures for e-Commerce: An Integrative Typology," Information Systems Research, INFORMS, vol. 13(3), pages 334-359, September.
    9. Paul A. Pavlou & David Gefen, 2004. "Building Effective Online Marketplaces with Institution-Based Trust," Information Systems Research, INFORMS, vol. 15(1), pages 37-59, March.
    10. Janice Y. Tsai & Serge Egelman & Lorrie Cranor & Alessandro Acquisti, 2011. "The Effect of Online Privacy Information on Purchasing Behavior: An Experimental Study," Information Systems Research, INFORMS, vol. 22(2), pages 254-268, June.
    11. Naresh K. Malhotra & Sung S. Kim & James Agarwal, 2004. "Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model," Information Systems Research, INFORMS, vol. 15(4), pages 336-355, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Chia-Ying & Fang, Yu-Hui, 2020. "I searched, I collected, I experienced: Exploring how mobile augmented reality makes the players go," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    2. Jun Sun, 2020. "Ubiquitous Computing Capabilities and User-System Interaction Readiness: An Activity Perspective," Information Systems Frontiers, Springer, vol. 22(1), pages 259-271, February.
    3. Anjum Razzaque & Richard Thomas Cummings & Magdalena Karolak & Allam Hamdan, 2020. "The Propensity to Use FinTech: Input from Bankers in the Kingdom of Bahrain," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 19(01), pages 1-22, March.
    4. Darrell Carpenter & Alexander McLeod & Chelsea Hicks & Michele Maasberg, 2018. "Privacy and biometrics: An empirical examination of employee concerns," Information Systems Frontiers, Springer, vol. 20(1), pages 91-110, February.
    5. Kasim, Kabir O. & Winter, Scott R. & Liu, Dahai & Keebler, Joseph R. & Spence, Tyler B., 2021. "Passengers’ perceptions on the use of biometrics at airports: A statistical model of the extended theory of planned behavior," Technology in Society, Elsevier, vol. 67(C).
    6. Julian Weidinger & Sebastian Schlauderer & Sven Overhage, 2018. "Is the Frontier Shifting into the Right Direction? A Qualitative Analysis of Acceptance Factors for Novel Firefighter Information Technologies," Information Systems Frontiers, Springer, vol. 20(4), pages 669-692, August.
    7. Lin Xiao & Chuanmin Mi & Yucheng Zhang & Jing Ma, 2019. "Examining Consumers’ Behavioral Intention in O2O Commerce from a Relational Perspective: an Exploratory Study," Information Systems Frontiers, Springer, vol. 21(5), pages 1045-1068, October.
    8. Julian Löbbers & Sebastian Lins & Theresa Kromat & Alexander Benlian & Ali Sunyaev, 2022. "A multi-perspective lens on web assurance seals: contrasting vendors’ intended and consumers’ perceived effects," Electronic Commerce Research, Springer, vol. 22(4), pages 1573-1615, December.
    9. Darrell Carpenter & Alexander McLeod & Chelsea Hicks & Michele Maasberg, 0. "Privacy and biometrics: An empirical examination of employee concerns," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
    10. Thongmak, Mathupayas, 2022. "Protecting privacy in Pokémon Go: A multigroup analysis," Technology in Society, Elsevier, vol. 70(C).
    11. Andy Weeger & Xuequn Wang & Heiko Gewald & Mahesh Raisinghani & Otavio Sanchez & Gerald Grant & Siddhi Pittayachawan, 2020. "Determinants of Intention to Participate in Corporate BYOD-Programs: The Case of Digital Natives," Information Systems Frontiers, Springer, vol. 22(1), pages 203-219, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alisa Frik & Luigi Mittone, 2016. "Factors Influencing the Perceived Websites' Privacy Trustworthiness and Users' Purchase Intentions," CEEL Working Papers 1609, Cognitive and Experimental Economics Laboratory, Department of Economics, University of Trento, Italia.
    2. Lucrezia Maria Cosmo & Luigi Piper & Arianna Vittorio, 2021. "The role of attitude toward chatbots and privacy concern on the relationship between attitude toward mobile advertising and behavioral intent to use chatbots," Italian Journal of Marketing, Springer, vol. 2021(1), pages 83-102, June.
    3. Weiyin Hong & Frank K. Y. Chan & James Y. L. Thong, 2021. "Drivers and Inhibitors of Internet Privacy Concern: A Multidimensional Development Theory Perspective," Journal of Business Ethics, Springer, vol. 168(3), pages 539-564, January.
    4. Tussyadiah, Iis P. & Zach, Florian J. & Wang, Jianxi, 2020. "Do travelers trust intelligent service robots?," Annals of Tourism Research, Elsevier, vol. 81(C).
    5. Weck, Marina & Afanassieva, Marianne, 2023. "Toward the adoption of digital assistive technology: Factors affecting older people's initial trust formation," Telecommunications Policy, Elsevier, vol. 47(2).
    6. Taylor, David G. & Strutton, David, 2010. "Has e-marketing come of age? Modeling historical influences on post-adoption era Internet consumer behaviors," Journal of Business Research, Elsevier, vol. 63(9-10), pages 950-956, September.
    7. Heng Xu & Hock-Hai Teo & Bernard C. Y. Tan & Ritu Agarwal, 2012. "Research Note ---Effects of Individual Self-Protection, Industry Self-Regulation, and Government Regulation on Privacy Concerns: A Study of Location-Based Services," Information Systems Research, INFORMS, vol. 23(4), pages 1342-1363, December.
    8. Martin, Kirsten, 2018. "The penalty for privacy violations: How privacy violations impact trust online," Journal of Business Research, Elsevier, vol. 82(C), pages 103-116.
    9. Sullivan, Yulia W. & Kim, Dan J., 2018. "Assessing the effects of consumers’ product evaluations and trust on repurchase intention in e-commerce environments," International Journal of Information Management, Elsevier, vol. 39(C), pages 199-219.
    10. Jaeki Song & Fatemeh Mariam Zahedi, 2005. "A Theoretical Approach to Web Design in E-Commerce: A Belief Reinforcement Model," Management Science, INFORMS, vol. 51(8), pages 1219-1235, August.
    11. Cheng, Junjun & Chen, Bo & Huang, Zihang, 2023. "Collective-based ad transparency in targeted hotel advertising: Consumers’ regulatory focus underlying the crowd safety effect," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    12. Ahmed Ibrahim Alzahrani & T. Ramayah & Nalini Suppiah & Osama Alfarraj & Nasser Alalwan, 2020. "Modeling Blog Usage From a Developing Country Perspective Using Structural Equation Modeling (SEM)," SAGE Open, , vol. 10(3), pages 21582440209, July.
    13. Sara Moussawi & Marios Koufaris & Raquel Benbunan-Fich, 2021. "How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 343-364, June.
    14. Fernanda Leão Ramos & Jorge Brantes Ferreira & Angilberto Sabino de Freitas & Juliana Werneck Rodrigues, 2018. "The Effect of Trust in the Intention to Use m-banking," Brazilian Business Review, Fucape Business School, vol. 15(2), pages 175-191, March.
    15. Jung Lee & Jae-Nam Lee & Bernard C. Y. Tan, 2015. "Antecedents of cognitive trust and affective distrust and their mediating roles in building customer loyalty," Information Systems Frontiers, Springer, vol. 17(1), pages 159-175, February.
    16. Chen, Ying-Hueih & Hsu, I-Chieh & Lin, Chia-Chen, 2010. "Website attributes that increase consumer purchase intention: A conjoint analysis," Journal of Business Research, Elsevier, vol. 63(9-10), pages 1007-1014, September.
    17. Faqih, Khaled M.S., 2016. "An empirical analysis of factors predicting the behavioral intention to adopt Internet shopping technology among non-shoppers in a developing country context: Does gender matter?," Journal of Retailing and Consumer Services, Elsevier, vol. 30(C), pages 140-164.
    18. Morteza Ghobakhloo & Masood Fathi, 2019. "Modeling the Success of Application-Based Mobile Banking," Economies, MDPI, vol. 7(4), pages 1-21, November.
    19. Inman, J. Jeffrey & Nikolova, Hristina, 2017. "Shopper-Facing Retail Technology: A Retailer Adoption Decision Framework Incorporating Shopper Attitudes and Privacy Concerns," Journal of Retailing, Elsevier, vol. 93(1), pages 7-28.
    20. Sumeet Gupta & Haejung Yun & Heng Xu & Hee-Woong Kim, 2017. "An exploratory study on mobile banking adoption in Indian metropolitan and urban areas: a scenario-based experiment," Information Technology for Development, Taylor & Francis Journals, vol. 23(1), pages 127-152, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infosf:v:17:y:2015:i:2:d:10.1007_s10796-013-9413-1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.