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ISSN : 1738-3110

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Vol.18 No.8
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A Study of Indonesian Online Marketplace: Information Processing Theory Paradigm

The Journal of Distribution Science / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2020, v.18 no.8, pp.75-87
https://doi.org/https://doi.org/10.15722/jds.18.8.202008.75
TEOFILUS, Teofilus
SUTRISNO, Timotius F.C.W.
HONGDIYANTO, Charly
WANANDA, Veronica
TEOFILUS,, T. , SUTRISNO,, T. F. , HONGDIYANTO,, C. , & WANANDA,, V. (2020). A Study of Indonesian Online Marketplace: Information Processing Theory Paradigm. The Journal of Distribution Science, 18(8), 75-87, https://doi.org/https://doi.org/10.15722/jds.18.8.202008.75
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Abstract

Purpose: This study uses the protection motivation theory and information processing theory to discuss the high number of fraud phenomenon in Indonesia which causes worries to the internet users. The second problem is the large amount of information transparency in e-commerce which actually hinders the users in making decisions so it causes a negative behavior pattern, namely discontinue usage intention. Design/methodology: Therefore, this research hopes to provide insight to the online or e-commerce business community, especially for Tokopedia, to develop its business from understanding the factors influencing consumer attitude when shopping online. The sample are students from Universitas Indonesia, Institut Teknologi Bandung, Institut Pertanian Bogor, Universitas Gadjah Mada and Institut Teknologi Surabaya, with total 900 respondents. Result: The results of this research indicate that ubiquitous connectivity (UC) variable significantly affects variables such as the privacy concern (PC), information transparency (IT) and information overload (IO). PC and IO variables also significantly affect Discontinue Usage Intention (DUI). Conclusion: This study gives a new perspective that despite the phenomenon, the millennial generation especially are not entirely concerned about the privacy concern, however, this study clearly shows that the privacy issue in the digital word continues to be something that needs to be cared for.

keywords
Digital Marketing, Protection Motivation Theory, Ubiquitous Connectivity, Information Transparency, Information Overload

Reference

1.

Akhter, S. H. (2012). Who Spends More Online? The Influence of Time, Usage Variety, and Privacy Concern on Online Spending. Journal of Retailing and Consumer Services, 19(1),109-115. Https://Doi.Org/10.1016/J.Jretconser.2011.10.002

2.

Agustina, D., Najib, M. & Suharjo, B. (2016). Pengaruh Personalisasi Iklan Online Terhadap Sikap dan Minat Beli Konsumen. MIX: Jurnal Ilmiah Manajemen, 6(3), 367-386

3.

Atkinson, R. C., & Shiffrin, R. M. (1968). Human Memory: A Proposed System and Its Control Processes. The Psychology of Learning and Motivation, 2, 89-195.

4.

Chen, J. V., Tran, A., & Nguyen, T. (2019). Understanding the Discontinuance Behavior of Mobile Shoppers as A Consequence of Technostress: An Application of the StressCoping Theory. Computers in Human Behavior, 95, 83-93.Https://Doi.Org/10.1016/J.Chb.2019.01.022

5.

Choi, S. (2016). The Flipside of Ubiquitous Connectivity Enabled by Smartphone-Based Social Networking Service: Social Presence and Privacy Concern. Computers in Human Behavior, 65, 325-333.Https://Doi.Org/10.1016/J.Chb.2016.08.039

6.

Eppler, M. J., & Mengis, J. (2004). The Concept of Information Overload: A Review of Literature from Organization Science, Accounting, Marketing, MIS, and Related Disciplines. The Information Society, 20(5), 325-344.Https://Doi.Org/10.1080/01972240490507974

7.

Furner, C. P., & Zinko, R. A. (2016). The Influence of Information Overload on the Development of Trust and Purchase Intention Based on Online Product Reviews in a Mobile Vs. Web Environment: An Empirical Investigation. Electronic Markets, 27(3), 211-224. Https://Doi.Org/10.1007/S12525-016-0233-2

8.

Gao, J., Zhang, C., Wang, K. & Ba, S. (2012). Understanding Online Purchase Decision Making: The Effects of Unconscious Thought, Information Quality, and Information Quantity. Decision Support Systems, 53(4), 772-781.https://doi.org/10.1016/j.dss.2012.05.011

9.

Gao, W., Liu, Z., Guo, Q., & Li, X. (2018). The Dark Side of Ubiquitous Connectivity in Smartphone-Based SNS: An Integrated Model from Information Perspective. Computers in Human Behavior, 84, 185-193.Https://Doi.Org/10.1016/J.Chb.2018.02.023

10.

Granados, N., Gupta, A., & Kauffman, R. J. (2010). Research Commentary Information Transparency in Business-toConsumer Markets: Concepts, Framework and Research Agenda. Information Systems Research, 21(2), 207-226. Https://Doi.Org/10.1287/Isre.1090.0249

11.

Hair, J. J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2017). Multivariate Data Analysis (7th Edition). London, United Kingdom: Pearson Education Limited.

12.

Hanna, R. C., Lemon, K. N., & Smith, G. E. (2019). Is Transparency a Good Thing? How Online Price Transparency and Variability Can Benefit Firms and Influence Consumer Decision Making. Business Horizons, 62(2), 227-236.Https://Doi.Org/10.1016/J.Bushor.2018.11.006

13.

Henseler, J. (2009). The Use of Partial Least Squares Path Modeling in International Marketing. Bingley, England Emerald JAI Press.

14.

Hong, W., & Thong, J. Y.L. (2013). Internet Privacy Concerns:An Integrated Conceptualization and Four Empirical Studies. Forthcoming in MIS Quarterly, 37(1), 275-298. Https://Doi10.25300/MISQ/2013/37.1.12

15.

Huang, C. D., Goo, J., Nam, K., & Yoo, C. W. (2017). Smart Tourism Technologies in Travel Planning: The Role of Exploration and Exploitation. Information & Management,54(6), 757-770. Https://Doi.Org/10.1016/J.Im.2016.11.010

16.

Jacoby, J., Speller, D. E., & Berning, C. K. (1974). Brand Choice Behavior as A Function of Information Load: Replication and Extension. Journal of Consumer Research, 1(1), 33–42.https:// https://doi.org/10.1086/208579

17.

Jung, M. J., Naughton, J. P., Tahoun, A., & Wang, C. (2017). Do Firms Strategically Disseminate? Evidence from Corporate Use of Social Media. The Accounting Review, 93(4), 225-252. Https://Doi.Org/10.2308/Accr-51906

18.

Larose, R. & Rifon, N. J. (2007). Promoting i-Safety: Effects of Privacy Warnings and Privacy Seals on Risk Assessment and Online Privacy Behavior. The Journal of Consumer Affairs. 41(1), 127-149. https://www.jstor.org/stable/23860017

19.

Lee, S. K., Lindsey, N. J., & Kim, K. S. (2017). The Effects of News Consumption via Social Media and News Information Overload on Perceptions of Journalistic Norms and Practices. Computers in Human Behavior, 75, 254-263.Https://Doi.Org/10.1016/J.Chb.2017.05.007

20.

Lee, Y.-K., Park, J.-H., Chung, N., & Blakeney, A. (2012). A Unified Perspective on the Factors Influencing Usage Intention toward Mobile Financial Services. Journal of Business Research, 65(11), 1590-1599.Https://Doi.Org/10.1016/J.Jbusres.2011.02.044

21.

Li, C.-Y. (2016). Why Do Online Consumers Experience Information Overload? An Extension of Communication Theory. Journal of Information Science, 43(6), 835-851. Https://Doi.Org/10.1177/0165551516670096

22.

Lucian, R., & De Farias, S. A. (2009). Effects of Information Overload on Brazilian E-Consumers. American Journal of Economics and Business Administration, 1(1), 21-26.

23.

Luqman, A., Cao, X., Ali, A., Masood, A., & Yu, L. (2017). Empirical Investigation of Facebook Discontinues Usage Intentions Based on SOR Paradigm. Computers in Human Behavior, 70, 544-555.Https://Doi.Org/10.1016/J.Chb.2017.01.020

24.

Lwin, M. O., Wirtz, J., & Stanaland, A. J. S. (2016). The Privacy Dyad. Internet Research, 26(4), 919-941.Https://Doi.Org/10.1108/Intr-05-2014-0134

25.

Malhotra N. K. (2010). Marketing Research: An Applied Orientation (6th Edition). Atlanta, GA: Georgia Institute of Technology

26.

Mittal, D., & Agrawal, S. R. (2016). Price Transparency Reflects Assurance and Reliability. Journal of Retailing and Consumer Services, 31(C), 43-51. Https://Doi:10.1016/j.jretconser.2016.03.004

27.

Nagar, K., & Gandotra, P. (2016). Exploring Choice Overload, Internet Shopping Anxiety, Variety Seeking and Online Shopping Adoption Relationship: Evidence from Online Fashion Stores. Global Business Review, 17(4), 851-869. Https://Doi.Org/10.1177/0972150916645682

28.

Pappas, I., Kourouthanassis, P. E., & Giannakos, M. (2016). Sense And Sensibility In Personalized e-Commerce: How Emotions Rebalance the Purchase Intentions of Persuaded Customers. Psychology and Marketing, 34(10), 972-986. Https://Doi: 10.1002/mar.21036

29.

Pavlou, P. A. (2003). Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model. International Journal of Electronic Commerce. 7(3), 101-134. https://doi.org/10.1080/10864415.2003.11044275

30.

Pavlou, P. A., & Sawy, O. E (2006). From IT Leveraging Competence to Competitive Advantage in Turbulent Environments: The Case of New Product Development. Information Systems Research. 17(3), 198-227. Https://Doi:10.1287/isre.1060.0094

31.

Roetzel, P. G. (2018). Information Overload in the Information Age: A Review of the Literature from Business Administration, Business Psychology, and Related Disciplines with a Bibliometric Approach and Framework Development. Business Research, 12(2), 479-522. Https://Doi.Org/10.1007/S40685-018-0069-Z

32.

Rogers, R. W. (1975). A Protection Motivation Theory of Fear Appeals and Attitude Change1. J Psychol, 91(1), 93-114. Https://Doi.Org/10.1080/00223980.1975.9915803

33.

Setiyaningrum, A., & Hidayat, H. (2016). Service Quality dan Kepuasan Konsumen: Studi Empiris dan Implikasinya pada Toko Online. MIX: Jurnal Ilmiah Manajemen, 6(2), 247-260. DOI: 10.22441/jurnal_mix

34.

Sekaran, U., & Bougie, R. (2010). Research Methods for Business:A Skill Building Approach (5th Ed). Hoboken, NJ: John Wiley & Sons

35.

Simangunsong, E. (2018). Generation-Z Buying Behaviour in Indonesia: Opportunities for Retail Business. MIX: Jurnal Ilmiah Manajemen, 8(2), 243-253. DOI: 10.22441/jurnal_mix

36.

Acosta, P. S., Castillo, F. J. M., Nicolas, C. L., & Palacios, R. C.(2014). The Effect of Information Overload and Disorganization on Intention to Purchase Online. Online Information Review, 38(4), 543-561.Https://Doi.Org/10.1108/Oir-01-2014-0008

37.

Stohl, C., Stohl, M., & Leonardi, P. M. (2016). Managing Opacity:Information Visibility and the Paradox of Transparency in the Digital Age. International Journal of Communication, 10, 123-137.

38.

Swar, B., Hameed, T., & Reychav, I. (2017). Information Overload, Psychological Ill-Being, and Behavioral Intention to Continue Online Healthcare Information Search. Computers in Human Behavior, 70, 416-425.Https://Doi.Org/10.1016/J.Chb.2016.12.068

39.

Teofilus, T., & Ng, S. (2017). Analisis Pengaruh Variabel Antisedan dari Impulse Buying (Studi Empiris pada Giant Ekstra Jatiasih). Jurnal Manajemen Teori Dan Terapan, 10(1), 21-36.

40.

Teofilus, T., Sutrisno, T. F. C. W., & Gomuljo, A. (2019). The Elements of Packaging that Form A Brand Personality. (Study In Aroma Premium Sekoteng Products). MIX: Jurnal Ilmiah Manajemen, 9(2), 382-393. Https://Doi.Org/10.22441/Mix.2019.V9i2.010

41.

Teofilus, T., Singh, S. K., Sutrisno, T. F. C. W., & Kurniawan, A.(2020). Analyzing Entrepreneurial Marketing on Innovative Performance. Mix: Jurnal Ilmiah Manajemen, 10(1), 78-90. Https://Doi.Org/10.22441/Mix.2020.V10i1.006

42.

Tsai, H.-Y. S., Jiang, M., Alhabash, S., Larose, R., Rifon, N. J., & Cotten, S. R. (2016). Understanding Online Safety Behaviors:A Protection Motivation Theory Perspective. Computers &Security, 59, 138-150. Https://Doi.Org/10.1016/J.Cose.2016.02.009

43.

Vania A., Sumiati, S. & Rohman, F. (2018). Preferensi Pelanggan Online Shop Instagram Berdasarkan E-Service Quality Dengan Menggunakan Analisis Cluster dan Analisis Conjoint. MIX: Jurnal Ilmiah Manajemen, 8(1), 73–89. http://dx.doi.org/10.22441/mix.2018.v8i1.005

44.

Weinberg, B. D., Milne, G. R., Andonova, Y. G., & Hajjat, F. M.(2015). Internet of Things: Convenience vs. Privacy and Secrecy. Business Horizons, 58(6), 615-624.Https://Doi.Org/10.1016/J.Bushor.2015.06.005

45.

Wilkie, W. (1974). Analysis of Effects of Information Load. Journal of Marketing Research. 11(4), 426-466. https://doi.org/10.1177/002224377401100414

46.

Yang, S., Li, T. & Heck, E. V. (2015). Information Transparency in Prediction Markets. Decision Support Systems, 78, 67-79.Doi: 10.1016/J.Dss.2015.05.009

47.

Youn, S. (2009). Determinants of Online Privacy Concern and Its Influence on Privacy Protection Behaviors among Young Adolescents. Journal of Consumer Affairs 43(3), 389-418. https://doi.org/10.1111/j.1745-6606.2009.01146.x

48.

Zhang, S., Zhao, L., Lu, Y., & Yang, J. (2016). Do You Get Tired of Socializing? An Empirical Explanation of Discontinuous Usage Behaviour in Social Network Services. Information &Management, 53(7), 904-914.Https://Doi.Org/10.1016/J.Im.2016.03.006

49.

Zhou, L., Wang, W., Xu, J., Liu, T., & Gu, J. (2018). Perceived Information Transparency in B2C E-Commerce: An Empirical Investigation. Information & Management, 55(7),912-927. Https://Doi.Org/10.1016/J.Im.2018.04.005

50.

Zhu, K. (2002). Information Transparency in Electronic Marketplaces: Why Data Transparency May Hinder the Adoption of B2B Exchanges. Electronic Markets, 12(2), 92-99. Https://Doi.Org/10.1080/10196780252844535

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