Gaining Consumer Trust through Quality of Information and Interaction: An Empirical Study on Online Shopping
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Asian Institute of Research, Journal Publication, Journal Academics, Education Journal, Asian Institute
Asian Institute of Research, Journal Publication, Journal Academics, Education Journal, Asian Institute

Economics and Business

Quarterly Reviews

ISSN 2775-9237 (Online)

asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, managemet journal
asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, managemet journal
asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, managemet journal
asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, managemet journal
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doi
open access

Published: 18 March 2023

Gaining Consumer Trust through Quality of Information and Interaction: An Empirical Study on Online Shopping

Tety Elida, Eko Sri Margianti, Ari Raharjo

Gunadarma University, Indonesia

asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, management journal

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doi

10.31014/aior.1992.06.01.496

Pages: 179-186

Keywords: Consumer Trust, Online Shopping, Web Quality, Shopping Behaviour

Abstract

The unique characteristics of the online shopping environment generate greater uncertainty and high risk in online purchasing decisions. Therefore, building consumer trust is important in online shopping. This study aims to analyze the influence of information quality, interaction quality, and page design on consumer trust and the influence of trust on purchasing decisions. The five variables were measured using the Likert scale of 1 to 5. The data was collected using an online questionnaire distributed to 270 respondents. This study was analyzed based on the Structural Equation Modelling model using Smart PLS 3.0. The results showed that the quality of information and interaction are influential factors in building consumer trust in online transactions.

References

  1. Alaimo, L. S., Fiore, M., & Galati, A. (2020). How the COVID-19 pandemic is changing online food shopping human behaviour in Italy. Sustainability (Switzerland), 12(22), 1–18. https://doi.org/10.3390/su12229594

  2. Ali Taha, V., Pencarelli, T., Škerháková, V., Fedorko, R., & Košíková, M. (2021). The Use of Social Media and Its Impact on Shopping Behavior of Slovak and Italian Consumers during COVID-19 Pandemic. Sustainability, 13(4), 1710. https://doi.org/10.3390/su13041710

  3. Alwash, M., Savarimuthu, B. T. R., & Parackal, M. (2021). Mining brand value propositions on Twitter: exploring the link between marketer-generated content and eWOM outcomes. Social Network Analysis and Mining, 11(1), 1–25. https://doi.org/10.1007/s13278-021-00790-8

  4. Amoako, G. K., Kutu-Adu, S. G., Caesar, L. D., & Neequaye, E. (2019). Relationship Marketing and Repurchase Intention in Ghana’s Hospitality Industry: An Empirical Examination of Trust and Commitment. Journal of Relationship Marketing, 18(2), 77–107. https://doi.org/10.1080/15332667.2018.1534059

  5. Barnes, S. J., & Vidgen, R. T. (2006). Data triangulation and web quality metrics: A case study in e-government. Information and Management, 43(6), 767–777. https://doi.org/10.1016/j.im.2006.06.001

  6. Bisnis.com. (2022). BI Catat Nilai Transaksi E-Commerce Tembus Rp401 Triliun pada 2021. https://ekonomi.bisnis.com/read/20220127/9/1494047/bi-catat-nilai-transaksi-e-commerce-tembus-rp401-triliun-pada-2021

  7. BPS. (2021). Statistik E-Commerce 2021. Badan Pusat Statistik. https://www.bps.go.id/publication/2021/12/17/667821e67421afd2c81c574b/statistik-e-commerce-2021.html

  8. Chauhan, S., Banerjee, R., & Banerjee, S. (2019). The impact of website quality and reputation on purchasing intention towards online shopping. Journal of Content, Community and Communication, 10(5), 151–158. https://doi.org/10.31620/JCCC.12.19/15

  9. Chen, J. V., Chotimapruek, W., Ha, Q. A., & Widjaja, A. E. (2021). Investigating female customer’s impulse buying in Facebook B2C social commerce: An experimental study. Contemporary Management Research, 17(2), 65–96. https://doi.org/10.7903/CMR.20448

  10. Chen, Z. (2017). Social acceptance and word of mouth: How the motive to belong leads to divergent WOM with strangers and friends. Journal of Consumer Research, 44(3), 613–632. https://doi.org/10.1093/jcr/ucx055

  11. Davidaviciene, V., Raudeliuniene, J., Tvaronaviciene, M., & Kaušinis, J. (2019). The importance of security aspects in consumer preferences in electronic environment. Journal of Security and Sustainability Issues, 8(3), 399–411. https://doi.org/10.9770/jssi.2019.8.3(9)

  12. Gautam, V., & Sharma, V. (2019). Mediating Role of Company Information in the Relationships among Perceived Risks and Purchase Intentions in an Online Retailing Context. Journal of Relationship Marketing, 18(1), 1–16. https://doi.org/10.1080/15332667.2018.1534056

  13. Grange, C., & Barki, H. (2020). The nature and role of user beliefs regarding a website’s design quality. Journal of Organizational and End User Computing, 32(1), 75–96. https://doi.org/10.4018/JOEUC.2020010105

  14. Grashuis, J., Skevas, T., & Segovia, M. S. (2020). Grocery shopping preferences during the COVID-19 pandemic. Sustainability (Switzerland), 12(13). https://doi.org/10.3390/su12135369

  15. Ha, N. T., Nguyen, T. L. H., Nguyen, T. P. L., & Nguyen, T. Do. (2019). The effect of trust on consumers’ online purchase intention: An integration of tam and tpb. Management Science Letters, 9(9), 1451–1460. https://doi.org/10.5267/j.msl.2019.5.006

  16. Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/10.2753/MTP1069-6679190202

  17. Hair, J., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management and Data Systems, 117(3), 442–458. https://doi.org/10.1108/IMDS-04-2016-0130

  18. Hsu, M. H., Chang, C. M., Chu, K. K., & Lee, Y. J. (2014). Determinants of repurchase intention in online group-buying: The perspectives of DeLone & McLean is success model and trust. Computers in Human Behavior, 36, 234–245. https://doi.org/10.1016/j.chb.2014.03.065

  19. Jiang, C., Rashid, R. M., & Wang, J. (2019). Investigating the role of social presence dimensions and information support on consumers’ trust and shopping intentions. Journal of Retailing and Consumer Services, 51(April), 263–270. https://doi.org/10.1016/j.jretconser.2019.06.007

  20. Jiang, L., Jun, M., & Yang, Z. (2016). Customer-perceived value and loyalty: how do key service quality dimensions matter in the context of B2C e-commerce? Service Business, 10(2), 301–317. https://doi.org/10.1007/s11628-015-0269-y

  21. Kamalul Ariffin, S., Mohan, T., & Goh, Y. N. (2018). Influence of consumers’ perceived risk on consumers’ online purchase intention. Journal of Research in Interactive Marketing, 12(3), 309–327. https://doi.org/10.1108/JRIM-11-2017-0100

  22. Kim, R. Y. (2020). The Impact of COVID-19 on Consumers: Preparing for Digital Sales. IEEE Engineering Management Review, 48(3), 212–218. https://doi.org/10.1109/EMR.2020.2990115

  23. Kim, S., & Park, H. (2013). Effects of various characteristics of social commerce (s-commerce) on consumers’ trust and trust performance. International Journal of Information Management, 33(2), 318–332. https://doi.org/10.1016/j.ijinfomgt.2012.11.006

  24. Kleinlercher, K., Emrich, O., Herhausen, D., Verhoef, P. C., & Rudolph, T. (2018). Websites as information hubs: How informational channel integration and shopping benefit density interact in steering customers to the physical store. Journal of the Association for Consumer Research, 3(3), 330–342. https://doi.org/10.1086/698415

  25. Koch, J., Frommeyer, B., & Schewe, G. (2020). Online shopping motives during the COVID-19 pandemic—lessons from the crisis. Sustainability (Switzerland), 12(24), 1–20. https://doi.org/10.3390/su122410247

  26. Kotler, P., & Keller, K. L. (2016). A framework for marketing Management. In Essex: Pearson. (sixth edit). pearson.

  27. Kovač, I., Palić, M., & Tolić, M. (2021). The importance and significance of the marketing mix elements in a fashion retailing. InterEULawEast, 8(1), 15–38. https://doi.org/10.22598/iele.2021.8.1.2

  28. Kung, M. L., Wang, J. H., & Liang, C. (2021). Impact of purchase preference, perceived value, and marketing mix on purchase intention and willingness to pay for pork. Foods, 10(10). https://doi.org/10.3390/foods10102396

  29. Leong, C. M., Loi, A. M. W., & Woon, S. (2021). The influence of social media eWOM information on purchase intention. Journal of Marketing Analytics, 0123456789. https://doi.org/10.1057/s41270-021-00132-9

  30. Li, Z., Sha, Y., Song, X., Yang, K., ZHao, K., Jiang, Z., & Zhang, Q. (2020). Impact of risk perception on customer purchase behavior: a meta-analysis. Journal of Business and Industrial Marketing, 35(1), 76–96. https://doi.org/10.1108/JBIM-12-2018-0381

  31. Moon, J., Choe, Y., & Song, H. (2021). Determinants of consumers’ online/offline shopping behaviours during the COVID-19 pandemic. International Journal of Environmental Research and Public Health, 18(4), 1–17. https://doi.org/10.3390/ijerph18041593

  32. Patma, T. S., Fienaningsih, N., Rahayu, K. S., & Artatanaya, I. G. L. S. (2021). Impact of Information Quality on Customer Perceived Value, Experience Quality, and Customer Satisfaction From Using Gofood Aplication. Journal of Indonesian Economy and Business, 36(1), 51–61. https://doi.org/10.22146/jieb.59810

  33. Peng, X., Peak, D., Prybutok, V., & Xu, C. (2017). The effect of product aesthetics information on website appeal in online shopping. Nankai Business Review International, 8(2), 190–209. https://doi.org/10.1108/NBRI-11-2016-0038

  34. Poon, P., & Albaum, G. (2019). Consumer Trust in Internet Marketing and Direct Selling in China. Journal of Relationship Marketing, 18(3), 216–232. https://doi.org/10.1080/15332667.2019.1589244

  35. Qalati, S. A., Vela, E. G., Li, W., Dakhan, S. A., Hong Thuy, T. T., & Merani, S. H. (2021). Effects of perceived service quality, website quality, and reputation on purchase intention: The mediating and moderating roles of trust and perceived risk in online shopping. Cogent Business and Management, 8(1). https://doi.org/10.1080/23311975.2020.1869363

  36. Silitonga, K. A. A., Fakhrorazi, A., & Ikhsan, R. B. (2020). Drivers of buyer retention in e-commerce: The role of transaction characteristics and trust. Management Science Letters, 10(15), 3485–3494. https://doi.org/10.5267/j.msl.2020.6.046

  37. Svobodová, Z., & Rajchlová, J. (2020). Strategic behavior of e-commerce businesses in online industry of electronics from a customer perspective. Administrative Sciences, 10(4). https://doi.org/10.3390/admsci10040078

  38. Tam, C., & Oliveira, T. (2017). Understanding mobile banking individual performance: The DeLone & McLean model and the moderating effects of individual culture. Internet Research, 27(3), 538–562. https://doi.org/10.1108/IntR-05-2016-0117

  39. Tandon, U., Kiran, R., & Sah, A. N. (2018). The influence of website functionality, drivers and perceived risk on customer satisfaction in online shopping: an emerging economy case. Information Systems and E-Business Management, 16(1), 57–91. https://doi.org/10.1007/s10257-017-0341-3

  40. Tseng, C. H., & Wei, L. F. (2020). The efficiency of mobile media richness across different stages of online consumer behavior. International Journal of Information Management, 50(July 2018), 353–364. https://doi.org/10.1016/j.ijinfomgt.2019.08.010

  41. Wei, K., Li, Y., Zha, Y., & Ma, J. (2019). Trust, risk and transaction intention in consumer-to-consumer e-marketplaces: An empirical comparison between buyers’ and sellers’ perspectives. Industrial Management and Data Systems, 119(2), 331–350. https://doi.org/10.1108/IMDS-10-2017-0489

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