IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v13y2023i2p21582440231174159.html
   My bibliography  Save this article

Paralysis by Inertia “Like†Habit in Social Networking Services: Tendency to Answer Loyalty Questions in Marketing Surveys

Author

Listed:
  • Takumi Kato

Abstract

Factors affecting survey quality, such as questionnaire length, screen design, incentives for respondents, and answering devices have been extensively researched before. This study introduces a new dimension to the factors of response bias’ factors and focuses on the possibility that Like habits and motives in social networking services (SNS) may lower the psychological barrier to favorable reactions for brand loyalty (e.g., recommendation intention). Propensity score was applied to the results of Japanese smartphone users’ online survey, and the effect of Like habits on response tendencies was verified. Results show that compared to the group that did not use SNS, there were no differences with those who used true Likes, and a group of inertia Like has a high score—becoming clear that the psychological barriers differ depending on Like motive. If the SNS usage status of survey respondents fluctuates, the results may be biased and mistakes could occur in decision-making.

Suggested Citation

  • Takumi Kato, 2023. "Paralysis by Inertia “Like†Habit in Social Networking Services: Tendency to Answer Loyalty Questions in Marketing Surveys," SAGE Open, , vol. 13(2), pages 21582440231, May.
    • Handle: RePEc:sae:sagope:v:13:y:2023:i:2:p:21582440231174159
    DOI: 10.1177/21582440231174159
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440231174159
    Download Restriction: no
    File URL: https://libkey.io/10.1177/21582440231174159?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
    ---><---

    References listed on IDEAS

    as
    1. Wang, Xiao-Wu & Cao, Yu-Mei & Park, Cheol, 2019. "The relationships among community experience, community commitment, brand attitude, and purchase intention in social media," International Journal of Information Management, Elsevier, vol. 49(C), pages 475-488.
    2. Ali Hortaçsu & Seyed Ali Madanizadeh & Steven L. Puller, 2017. "Power to Choose? An Analysis of Consumer Inertia in the Residential Electricity Market," American Economic Journal: Economic Policy, American Economic Association, vol. 9(4), pages 192-226, November.
    3. Takumi Kato & Noriko Kishida & Takahiko Umeyama & Yuexian Jin & Kazuhiko Tsuda, 2020. "A random extraction method with high market representation for online surveys," International Journal of Business Innovation and Research, Inderscience Enterprises Ltd, vol. 22(4), pages 569-584.
    4. Munar, Ana María & Jacobsen, Jens Kr. Steen, 2014. "Motivations for sharing tourism experiences through social media," Tourism Management, Elsevier, vol. 43(C), pages 46-54.
    5. Khalilzadeh, Jalayer & Tasci, Asli D.A., 2017. "Large sample size, significance level, and the effect size: Solutions to perils of using big data for academic research," Tourism Management, Elsevier, vol. 62(C), pages 89-96.
    6. Wang, Xia & Yu, Chunling & Wei, Yujie, 2012. "Social Media Peer Communication and Impacts on Purchase Intentions: A Consumer Socialization Framework," Journal of Interactive Marketing, Elsevier, vol. 26(4), pages 198-208.
    Full references (including those not matched with items on IDEAS)

    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. Liu, Qian & Shao, Zhen & Fan, Weiguo, 2018. "The impact of users’ sense of belonging on social media habit formation: Empirical evidence from social networking and microblogging websites in China," International Journal of Information Management, Elsevier, vol. 43(C), pages 209-223.
    2. Hussain, Hadia & Murtaza, Murtaza & Ajmal, Areeb & Ahmed, Afreen & Khan, Muhammad Ovais Khalid, 2020. "A study on the effects of social media advertisement on consumer’s attitude and customer response," MPRA Paper 104675, University Library of Munich, Germany.
    3. Hota, Monali & Bartsch, Fabian, 2019. "Consumer socialization in childhood and adolescence: Impact of psychological development and family structure," Journal of Business Research, Elsevier, vol. 105(C), pages 11-20.
    4. Tin Cheuk Leung & Kwok Ping Ping & Kevin K. Tsui, 2019. "What can deregulators deregulate? The case of electricity," Journal of Regulatory Economics, Springer, vol. 56(1), pages 1-32, August.
    5. Hartley, Peter R. & Medlock, Kenneth B. & Jankovska, Olivera, 2019. "Electricity reform and retail pricing in Texas," Energy Economics, Elsevier, vol. 80(C), pages 1-11.
    6. Karle, Heiko & Schumacher, Heiner & Vølund, Rune, 2023. "Consumer loss aversion and scale-dependent psychological switching costs," Games and Economic Behavior, Elsevier, vol. 138(C), pages 214-237.
    7. Wang, Le & Luo, Xin (Robert) & Li, Han, 2022. "Envy or conformity? An empirical investigation of peer influence on the purchase of non-functional items in mobile free-to-play games," Journal of Business Research, Elsevier, vol. 147(C), pages 308-324.
    8. Bilgihan, Anil & Barreda, Albert & Okumus, Fevzi & Nusair, Khaldoon, 2016. "Consumer perception of knowledge-sharing in travel-related Online Social Networks," Tourism Management, Elsevier, vol. 52(C), pages 287-296.
    9. Irina Maiorescu & Razvan Dina & Alexandru Doru Plesea & Alecu Felician, 2015. "The Impact of Facebook Upon Social Skills of Young People ? a Business Employment Perspective," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 17(Special 9), pages 1289-1289, November.
    10. Mucunska Palevska, Valentina & Novkovska, Blagica, 2018. "The Participation Of Ict In Activities Of Economic Subjects In Small Economy," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 9(2), pages 157-168.
    11. Philipp Wassler & Giacomo Del Chiappa & Thi Hong Hai Nguyen & Giancarlo Fedeli & Nigel L. Williams, 2022. "Increasing vaccination intention in pandemic times: a social marketing perspective," Italian Journal of Marketing, Springer, vol. 2022(1), pages 37-58, March.
    12. Ni Putu Ayu Wangi Diantini & Susanti & Waspodo Tjipto Subroto, 2021. "The effect of peer group, economic literacy, and use of social media on the consumption behavior of students social studies major grade XII SMAN 1 Negara in Jembrana," Technium Social Sciences Journal, Technium Science, vol. 21(1), pages 296-311, July.
    13. Shiwei Shen & Marios Sotiriadis & Qing Zhou, 2020. "Could Smart Tourists Be Sustainable and Responsible as Well? The Contribution of Social Networking Sites to Improving Their Sustainable and Responsible Behavior," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    14. Walter Beckert & Paolo Siciliani, 2018. "Protecting Vulnerable Consumers in "Switching Markets"," Birkbeck Working Papers in Economics and Finance 1808, Birkbeck, Department of Economics, Mathematics & Statistics.
    15. repec:cup:judgdm:v:16:y:2021:i:6:p:1413-1438 is not listed on IDEAS
    16. Kashaev, Nail & Aguiar, Victor H., 2022. "A random attention and utility model," Journal of Economic Theory, Elsevier, vol. 204(C).
    17. Jacqueline N. Zadelaar & Joost A. Agelink van Rentergem & Jessica V. Schaaf & Tycho J. Dekkers & Nathalie de Vent & Laura M. S. Dekkers & Maria C. Olthof & Brenda R. J. Jansen & Hilde M. Huizenga, 2021. "Development of decision making based on internal and external information: A hierarchical Bayesian approach," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 16(6), pages 1413-1438, November.
    18. Michael Grubb, 2015. "Failing to Choose the Best Price: Theory, Evidence, and Policy," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 47(3), pages 303-340, November.
    19. Kee-Young Kwahk & Byoungsoo Kim, 2017. "Effects of social media on consumers’ purchase decisions: evidence from Taobao," Service Business, Springer;Pan-Pacific Business Association, vol. 11(4), pages 803-829, December.
    20. Erna Grcic-Residovic & Ensar Mekic, 2022. "The Influence Of Instagram Likes On Consumer Attitude And Purchase Intention Of E-Commerce Users In Bosnia And Herzegovina," Economic Review: Journal of Economics and Business, University of Tuzla, Faculty of Economics, vol. 20(1), pages 3-16, May.
    21. Hajdu, Gergely & Krusper, Balázs, 2023. "Choice-induced Sticky Learning," Department of Economics Working Paper Series 349, WU Vienna University of Economics and Business.

    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:sae:sagope:v:13:y:2023:i:2:p:21582440231174159. 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: SAGE Publications (email available below). General contact details of provider: .

    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.