IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v6y2020i1d10.1057_s41599-020-0389-4.html
   My bibliography  Save this article

Online customer behavior: perceptions regarding the types of risks incurred through online purchases

Author

Listed:
  • Tatiana Marceda Bach

    (Centro Universitário Univel (UNIVEL))

  • Wesley Vieira Silva

    (Universidade Federal de Santa Maria (UFSM))

  • Adriano Mendonça Souza

    (Universidade Federal de Santa Maria (UFSM))

  • Claudineia Kudlawicz-Franco

    (Pontifícia Universidade Católica do Paraná (PUCPR))

  • Claudimar Pereira Veiga

    (Universidade Federal do Paraná (UFPR))

Abstract

Abastract Deciding to make online purchases can be risky and retailers have an opportunity to influence the consumer’s decision-making process. The aim of this article is to gauge the impact of different types of risks on trust and decision making with regard to online purchases. We conducted a survey with adaptations to three theoretical scales. To analyze the impact of risk on the variables of trust and decision making, a confirmatory factor analysis was performed, and to clarify the relationships between these constructs, a structural equation model was prepared. A qualitative (n = 13) and quantitative study were conducted with primary data (n = 328) collected by means of a structured questionnaire using a sample of a group of consumers who reside in the south of Brazil. The article makes four main contributions to the field: (i) it identifies the influence of three latent constructs that might affect online purchase behavior; (ii) it gauges the risks associated with the latent construct of trust and the adaptation of scales of perceived risk and decision making; (iii) it highlights the need to reassess the strategies adopted by companies that sell online to reduce risks and consequently increase trust in decision making; and (iv) it evaluates the demographic variables that have a significant moderating effect on the relationships of the constructs of trust and decision making during the purchase process.

Suggested Citation

  • Tatiana Marceda Bach & Wesley Vieira Silva & Adriano Mendonça Souza & Claudineia Kudlawicz-Franco & Claudimar Pereira Veiga, 2020. "Online customer behavior: perceptions regarding the types of risks incurred through online purchases," Palgrave Communications, Palgrave Macmillan, vol. 6(1), pages 1-12, December.
  • Handle: RePEc:pal:palcom:v:6:y:2020:i:1:d:10.1057_s41599-020-0389-4
    DOI: 10.1057/s41599-020-0389-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-020-0389-4
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/s41599-020-0389-4?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. Sarstedt, Marko & Ringle, Christian M. & Smith, Donna & Reams, Russell & Hair, Joseph F., 2014. "Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers," Journal of Family Business Strategy, Elsevier, vol. 5(1), pages 105-115.
    2. Zhuang, Hejun & Popkowski Leszczyc, Peter T.L. & Lin, Yuanfang, 2018. "Why is Price Dispersion Higher Online than Offline? The Impact of Retailer Type and Shopping Risk on Price Dispersion," Journal of Retailing, Elsevier, vol. 94(2), pages 136-153.
    3. Dowling, Grahame R & Staelin, Richard, 1994. "A Model of Perceived Risk and Intended Risk-Handling Activity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(1), pages 119-134, June.
    4. Graham Loomes & Judith Mehta, 2007. "The sensitivity of subjective probability to time and elicitation method," Journal of Risk and Uncertainty, Springer, vol. 34(3), pages 201-216, June.
    5. Balakrishnan, Karthik & Vashishtha, Rahul & Verrecchia, Robert E., 2019. "Foreign competition for shares and the pricing of information asymmetry: Evidence from equity market liberalization," Journal of Accounting and Economics, Elsevier, vol. 67(1), pages 80-97.
    6. Faulds, David J. & Mangold, W. Glynn & Raju, P.S. & Valsalan, Sarath, 2018. "The mobile shopping revolution: Redefining the consumer decision process," Business Horizons, Elsevier, vol. 61(2), pages 323-338.
    7. Youngsoo Kim & Ramayya Krishnan, 2015. "On Product-Level Uncertainty and Online Purchase Behavior: An Empirical Analysis," Management Science, INFORMS, vol. 61(10), pages 2449-2467, October.
    8. Khalil, Samer & Mansi, Sattar & Mazboudi, Mohamad & Zhang, Andrew (Jianzhong), 2019. "Information asymmetry and the wealth appropriation effect in the bond market: Evidence from late disclosures," Journal of Business Research, Elsevier, vol. 95(C), pages 49-61.
    9. Heylighen, Francis & Lenartowicz, Marta, 2017. "The Global Brain as a model of the future information society: An introduction to the special issue," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 1-6.
    10. Hänninen, Mikko & Mitronen, Lasse & Kwan, Stephen K., 2019. "Multi-sided marketplaces and the transformation of retail: A service systems perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 380-388.
    11. Driediger, Fabian & Bhatiasevi, Veera, 2019. "Online grocery shopping in Thailand: Consumer acceptance and usage behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 48(C), pages 224-237.
    12. Thomas P. Novak & Donna L. Hoffman & Yiu-Fai Yung, 2000. "Measuring the Customer Experience in Online Environments: A Structural Modeling Approach," Marketing Science, INFORMS, vol. 19(1), pages 22-42, May.
    13. Petit, Olivia & Velasco, Carlos & Spence, Charles, 2019. "Digital Sensory Marketing: Integrating New Technologies Into Multisensory Online Experience," Journal of Interactive Marketing, Elsevier, vol. 45(C), pages 42-61.
    14. Patricea Elena Bertea & Adriana Zait, 2013. "Perceived risk vs. intention to adopt e-commerce - a pilot study of potential moderators," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 25(2), pages 213-229.
    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. Olimpia Elena Mihaela OANCEA, 2023. "Understanding Consumer Behaviour In A Digital Age," Scientific Bulletin - Economic Sciences, University of Pitesti, vol. 22(2), pages 35-42.
    2. Wesley Marcos Almeida & Claudimar Pereira Veiga, 2023. "Does demand forecasting matter to retailing?," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(2), pages 219-232, June.
    3. Linda Heejung Lho & Wei Quan & Jongsik Yu & Heesup Han, 2022. "The sharing economy in the hospitality sector: The role of social interaction, social presence, and reciprocity in eliciting satisfaction and continuance behavior," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-12, December.
    4. Oana Pricopoaia & Nicoleta Cristache & Carmen Oprit Maftei & Ciprian Matis & Casian Faur, 2023. "Modelling Consumer Behaviour on Online Collaborative Platforms," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 205-218.
    5. Tsung-Yu Chou & Peng-Yeh Lee, 2023. "Predicting Athlete Intentions for Using Sports Complexes in the Post-Pandemic Era," IJERPH, MDPI, vol. 20(6), pages 1-17, March.

    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. Anbumathi, Rajendiran & Dorai, Sriram & Palaniappan, Umayal, 2023. "Evaluating the role of technology and non-technology factors influencing brand love in Online Food Delivery services," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    2. Prateep Puengwattanapong & Adisorn Leelasantitham, 2022. "A Holistic Perspective Model of Plenary Online Consumer Behaviors for Sustainable Guidelines of the Electronic Business Platforms," Sustainability, MDPI, vol. 14(10), pages 1-38, May.
    3. Hadiqa Riaz & Vida Davidaviciene & Hassaan Ahmed & Ieva Meidute-Kavaliauskiene, 2022. "Optimizing Customer Repurchase Intention through Cognitive and Affective Experience: An Insight of Food Delivery Applications," Sustainability, MDPI, vol. 14(19), pages 1-22, October.
    4. Yiming Shao & Zhugen Wang & Zhiwei Zhou & Haojing Chen & Yuanlong Cui & Zhenghuan Zhou, 2022. "Determinants Affecting Public Intention to Use Micro-Vertical Farming: A Survey Investigation," Sustainability, MDPI, vol. 14(15), pages 1-26, July.
    5. Sun, Chunhua & Fang, Yuan & Kong, Meng & Chen, Xiayu & Liu, Yezheng, 2022. "Influence of augmented reality product display on consumers’ product attitudes: A product uncertainty reduction perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    6. Simarpreet Kaur & Sangeeta Arora, 2023. "Understanding customers’ usage behavior towards online banking services: an integrated risk–benefit framework," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(1), pages 74-98, March.
    7. Qin, Chang-Xiong & Liu, Zhao, 2022. "Reference price effect of partially similar online products in the consideration stage," Journal of Business Research, Elsevier, vol. 152(C), pages 70-81.
    8. Chen, Xiayu & Shen, Junya & Wei, Shaobo, 2023. "What reduces product uncertainty in live streaming e-commerce? From a signal consistency perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    9. Shen, George Chung-Chi, 2015. "Users' adoption of mobile applications: Product type and message framing's moderating effect," Journal of Business Research, Elsevier, vol. 68(11), pages 2317-2321.
    10. Huang, Tseng-Lung & Liu, Ben S.C., 2021. "Augmented reality is human-like: How the humanizing experience inspires destination brand love," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    11. Kim, Minjeong & Kim, Jung-Hwan & Park, Minjung & Yoo, Jungmin, 2021. "The roles of sensory perceptions and mental imagery in consumer decision-making," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    12. Tyrväinen, Olli & Karjaluoto, Heikki & Saarijärvi, Hannu, 2020. "Personalization and hedonic motivation in creating customer experiences and loyalty in omnichannel retail," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    13. Natalia Rubio & Nieves Villaseñor & MªJesús Yagüe, 2020. "Sustainable Co-Creation Behavior in a Virtual Community: Antecedents and Moderating Effect of Participant’s Perception of Own Expertise," Sustainability, MDPI, vol. 12(19), pages 1-19, October.
    14. Maity, Moutusy & Dass, Mayukh & Kumar, Piyush, 2018. "The impact of media richness on consumer information search and choice," Journal of Business Research, Elsevier, vol. 87(C), pages 36-45.
    15. Spiekermann, Sarah & Strobel, Martin & Temme, Dirk, 2002. "Drivers and impediments of consumer online information search: Self-controlled versus agent-based search in a high involvement context," SFB 373 Discussion Papers 2002,37, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    16. Zhuang, Hejun & Popkowski Leszczyc, Peter T.L., 2022. "Optimal seller strategy in overlapping auctions," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    17. Brannon Barhorst, Jennifer & McLean, Graeme & Shah, Esta & Mack, Rhonda, 2021. "Blending the real world and the virtual world: Exploring the role of flow in augmented reality experiences," Journal of Business Research, Elsevier, vol. 122(C), pages 423-436.
    18. Banu Külter Demirgüneþ, 2015. "Relative Importance of Perceived Value, Satisfaction and Perceived Risk on Willingness to Pay More," International Review of Management and Marketing, Econjournals, vol. 5(4), pages 211-220.
    19. Betzing, Jan H. & Kurtz, Michael & Becker, Jörg, 2020. "Customer Participation in Virtual Communities for Local High Streets," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    20. Davari, Arezoo & Iyer, Pramod & Rokonuzzaman, Md, 2016. "Identifying the determinants of online retail patronage: A perceived-risk perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 33(C), pages 186-193.

    More about this item

    Statistics

    Access and download statistics

    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:pal:palcom:v:6:y:2020:i:1:d:10.1057_s41599-020-0389-4. 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: https://www.nature.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.