Perceived Value dan Repurchase Intention pada Online Marketplace

Authors

  • Lorenzo Pramudya Effendi STIE Indonesia Banking School
  • Meta Andriani STIE Indonesia Banking School

DOI:

https://doi.org/10.35384/jemp.v9i1.379

Keywords:

marketplace, risiko yang dirasakan, kegunaan yang dirasakan, harga kompetitif yang dirasakan, niat membeli kembali

Abstract

E-commerce sejauh ini merupakan salah satu industri digital yang terus berkembang. Dari tahun 2019, pasar online e-commerce Indonesia dimana peneliti ingin mengetahui seberapa besar pengaruh pasar online terhadap keinginan masyarakat Indonesia untuk melakukan pembelian kembali, penelitian ini menggunakan metode penelitian kuantitatif untuk mensurvei masyarakat Indonesia yang pernah berbelanja di marketplace online. Berdasarkan identifikasi dan rumusan pertanyaan dalam penelitian ini, penelitian ini bertujuan untuk mengetahui pengaruh persepsi risiko, kepercayaan online, kegunaan yang dirasakan, reputasi situs web, nilai yang dirasakan, kualitas yang dirasakan, dan harga kompetitif yang dirasakan terhadap keinginan pembelian ulang di marketplace online. Hasil penelitian ini menemukan bahwa data tentang persepsi risiko dan nilai yang dirasakan tidak berpengaruh signifikan terhadap niat beli ulang.

References

Agung, B. (2020). Riset Kredivo: Tren Positif E-commerce Masih Berlanjut Sampai Masa Pandemi. https://dailysocial.id/post/riset-kredivo-tren-e-commerce-2019-indonesia

Al-natour, S., Benbasat, I., & Cenfetelli, R. T. (2011). The Adoption of Online Shopping Assistants : Perceived Similarity as an Antecedent to Evaluative Beliefs Journal of the Association for Information The Adoption of Online Shopping Assistants : Perceived Similarity as an Antecedent to Evaluative Beliefs *. May. https://doi.org/10.17705/1jais.00267

Anderson, R. E., & Srinivasan, S. S. (2003). E-Loyalty : A Contingency Framework. 20(February 2003), 123–138. https://doi.org/10.1002/mar.10063

Awad, N. F., & Ragowsky, A. (2008). Establishing Trust in Electronic Commerce Through Online Word of Mouth : An Examination Across Genders. 24(4), 101–121. https://doi.org/10.2753/MIS0742-1222240404

Ba, S., & Pavlou, P. A. (2002). Evidence of the Effect of Trust Building Technology in Electronic Markets: Price Premiums and Ba & Pavlou/Trust Building Technology in Electronic Markets MIS Q rterjy EVIDENCE OF THE EFFECT OF TRUST BUILDING TECHNOLOGY IN ELECTRONIC MARKETS: PRICE PREMIUM. 26(3), 243–268.

Bansal, G., Green, W., & Gefen, D. (2008). The Moderating Influence of Privacy Concern on the Efficacy of Privacy Assurance Mechanisms for Building Trust : A Multiple-Context Investigation The Moderating Influence of Privacy Concern on the Efficacy of Privacy Assurance Mechanisms for Building Trus.

Bhatnagar, A., & Ghose, S. (2004). Segmenting consumers based on the benefits and risks of Internet shopping. Journal of Business Research, 57(12 SPEC.ISS.), 1352–1360. https://doi.org/10.1016/S01482963(03)00067-5

Bhattacherjee, A. (2001). UNDERSTANDING INFORMATION SYSTEMS CONTINUANCE: AN EXPECTATION- CONFIRMATION MODEL. 25(3), 351–370.

Casalo, L., Flavian, C., & Guinalıu, M. (2008). The role of perceived usability , reputation , satisfaction and consumer familiarity on the website loyalty formation process. 24, 325–345.https://doi.org/10.1016/j.chb.2007.01.017

Casalo, L. V, Flavián, C., & Guinalíu, M. (2007). The Influence of Satisfaction , Perceived Reputation and Trust on a Consumer ’ s Commitment to a Website The Influence of Satisfaction , Perceived Reputation and Trust on a Consumer ’ s Commitment to a Website. May 2012, 37–41. https://doi.org/10.1080/13527260600951633

Chang, E., & Tseng, Y. (2011). Research note : E-store image , perceived value and perceived risk ☆. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2011.06.012

Chang, H. H., & Chen, S. W. (2008). The impact of online store environment cues on purchase intention Trust and perceived risk as a mediator. https://doi.org/10.1108/14684520810923953

Chang, T., & Wildt, A. R. (1994). Price , Product Information , and Purchase Intention : An Empirical Study.

Chen, N., & Rau, P. P. (2012). Effects of Trust on Group Buying Websites in China. 279–288.

Chen, Z., & Dubinsky, A. J. (2003). A Conceptual Model of Perceived Customer Value in E-Commerce : A Preliminary Investigation. 20(April 2003), 323–347. https://doi.org/10.1002/mar.10076

Chiu, C., Hsu, M., Lai, H., & Chang, C. (2012). Re-examining the in fl uence of trust on online repeat purchase intention : The moderating role of habit and its antecedents. Decision Support Systems, 53(4), 835–845. https://doi.org/10.1016/j.dss.2012.05.021

Choudhury, V., & Karahanna, E. (2008). Management Information Systems Research Center, University of Minnesota. 32(1), 179–200.

Cronin, J. J., Brady, M. K., & Hult, G. T. M. (2000). Assessing the Effects of Quality , Value , and Customer Satisfaction on Consumer Behavioral Intentions in Service Environments. 76(2), 193–218.

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology : A Comparison of Two Theoretical Models. July 2018.

Delgado-ballester, E., & Hernández-espallardo, M. (2008). Effect of Brand Associations on Consumer Reactions to Unknown On-Line Brands. 12(3), 81–113. https://doi.org/10.2753/JEC1086-4415120305

Dinev, T., Hart, P., Dinev, T., & Hart, P. (2006). An Extended Privacy Calculus Model for E-Commerce Transactions An Extended Privacy Calculus Model for E-Commerce Transactions. October 2014. https://doi.org/10.1287/isre.1060.0080

Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of Price , Brand , and Store Information on Buyers ’ Product Evaluations.

Fang, Y., Qureshi, I., Sun, H., Mccole, P., Ramsey, E., Lim, K. H., & Echanisms, M. (2014). T RUST , S ATISFACTION , AND O NLINE R EPURCHASE I NTENTION : T HE M ODERATING R OLE OF P ERCEIVED E FFECTIVENESS OF E-C OMMERCE I NSTITUTIONAL. 38(2), 407–428.

Gefen, D., Karahana, E., & Straub, D. W. (2003). TRUST AND TAM IN ONLINE SHOPPING: AN INTEGRATED MODEL. 27(1), 51–90.

Ghozali. (2006). Structural Equation Model (SmartPLS) versi 3.0. Semarang: Badan Penerbit Universitas Diponegoro.

Ghozali, I., & Latan, H. (2014). Partial Least Squares; Konsep, Metode, dan Aplikasi Menggunakan Program WarPLS 4.0.

Glover, S., & Benbasat, I. (2010). A Comprehensive Model of Perceived Risk of E ‑ Commerce Transactions The Case for a New Risk Model : Prior Research on. 15(2), 47–78. https://doi.org/10.2753/JEC1086-4415150202

Grabner-kraeuter, S., & Grabner-kraeuter, S. (2002). The Role of Consumers ’ Trust in Online-Shopping. 43–50.

Hair Jr, J., Hult, G. T., Ringle, C., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) - Joseph F. Hair, Jr., G. Tomas M. Hult, Christian Ringle, Marko Sarstedt. In Sage.

Harris, L. C., & Goode, M. M. H. (2004). The four levels of loyalty and the pivotal role of trust : a study of online service dynamics. 80, 139–158. https://doi.org/10.1016/j.jretai.2004.04.002

Hellier, P. K., Geursen, G. M., Carr, R. A., Rickard, J. A., Hellier, P. K., Geursen, G. M., Carr, R. A., Rickard, J. A., Carr, R. A., & Rickard, J. A. (2003). Customer repurchase intention A general structural equation model. https://doi.org/10.1108/03090560310495456

Hsu, M., Chang, C., Chu, K., & Lee, Y. (2014). Computers in Human Behavior 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

Huang, W., Schrank, H., & Dubinsky, A. J. (2004). Effect of brand name on consumers’ risk perceptions of online shopping. Journal of Consumer Behaviour, 4(1), 40–50. https://doi.org/10.1002/cb.156

icecubeonline.com. (2021). Bagaimana Pandemi COVID-19 Mempengaruhi Tren Industri E-Commerce di 2021? https://icubeonline.com/news-blog/pandemi-dan-trend-ecommerce-2021

Jensen, H. R. (2001). Antecedents and consequences of consumer value assessments : implications for marketing strategy and future research. 8, 299–310.

Jiuan Tan, S. (1999). Strategies for reducing consumers’ risk aversion in internet shopping. Journal of Consumer Marketing, 16(2), 163–180.

Kim, D. J., Ferrin, D. L., Rao, H. R., & Kim, D. J. (2009). Trust and Satisfaction , Two Stepping Stones for Successful E-Commerce Relationships : A Longitudinal Exploration Trust and Satisfaction , Two Stepping Stones for Successful E-Commerce Relationships : April 2014. https://doi.org/10.1287/isre.1080.0188

Kim, H., Chan, H. C., & Gupta, S. (2007). Value-based Adoption of Mobile Internet : An empirical investigation. 43, 111–126. https://doi.org/10.1016/j.dss.2005.05.009

Kim, H., Xu, Y., & Gupta, S. (2012). Electronic Commerce Research and Applications Which is more important in Internet shopping , perceived price or trust ? Electronic Commerce Research and Applications, 11(3), 241–252. https://doi.org/10.1016/j.elerap.2011.06.003

Lai, I. K. W., & Tong, V. W. L. (2013). The Impact of Company , Subject , and System Characteristics on the Trust Factors Affecting the Adoption of Internet-based Interorganizational Systems The Impact of Company , Subject , and System Characteristics on the Trust Factors Affecting the Adoption. November 2014, 37–41. https://doi.org/10.1080/10580530.2013.832959

Li, X., & Hitt, L. M. (2010). Price Effects in Online Product Reviews: An analytical model and empirical analysis. 34(4), 809–831.

Li, Y. (2014). The impact of disposition to privacy , website reputation and website familiarity on information privacy concerns. Decision Support Systems, 57, 343–354. https://doi.org/10.1016/j.dss.2013.09.018

Lim, N. (2003). C onsumers ’ perceived risk : sources versus consequences. 2, 216–228.

Littler, D., & Melanthiou, D. (2006). Consumer perceptions of risk and uncertainty and the implications for behaviour towards innovative retail services : The case of Internet Banking. 13, 431–443. https://doi.org/10.1016/j.jretconser.2006.02.006

Malhotra, N. (2010). Marketing Research-An Applied Orientation Sixth Edition. Peasron/Prentice Hall.

Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). AN INTEGRATIVE MODEL OF ORGANIZATIONAL TRUST. 3.

Mcknight, D. H. (1998). INITIAL TRUST FORMATION IN NEW ORGANIZATIONAL RELATIONSHIPS. 23(3), 473–490.

Mcknight, D. H., & Chervany, N. L. (2014). International Journal of What Trust Means in E- Commerce Customer Relationships : An Interdisciplinary Conceptual Typology. February 2015, 37–41. https://doi.org/10.1080/10864415.2001.11044235

Park, C., & Lee, T. M. (2009). Information direction , website reputation and eWOM effect : A moderating role of product type. Journal of Business Research, 62(1), 61–67. https://doi.org/10.1016/j.jbusres.2007.11.017

Pavlou, P. A. (2003). International Journal of Consumer Acceptance of Electronic Commerce : Integrating Trust and Risk with the Technology Acceptance Model. February 2015, 37–41. https://doi.org/10.1080/10864415.2003.11044275

Pavlou, P. A., Gefen, D., & Gefen, D. (2004). Based Trust Building Effective Online Marketplaces with Institution-Based Trust. April 2015. https://doi.org/10.1287/isre.1040.0015

Peter, J. P., & Ryan, M. J. (1976). An Investigation of Perceived Risk at the. XIII(May), 184–188.

Salisbury, W. D., Pearson, R. A., Pearson, A. W., & Miller, D. W. (2003). Perceived security and World Wide Web purchase intention. 165–176.

Schiffman, L. G., Kanuk, L. L., & Wisenblit, J. (2006). Consumer Behavior. Pearson Prentice Hall.

Sirdeshmukh, D., Singh, J., & Sabol, B. (2002). Consumer Trust , Value , and Loyalty.

Snoj, B., Korda, A. P., & Mumel, D. (2004). The relationships among perceived quality , perceived risk and perceived product value. https://doi.org/10.1108/10610420410538050

Sullivan, Y. W., & Kim, D. J. (2018). International Journal of Information Management Assessing the e ff ects of consumers ’ product evaluations and trust on repurchase intention in e-commerce environments. International Journal of Information Management, 39(July 2017), 199–219. https://doi.org/10.1016/j.ijinfomgt.2017.12.008

Taylor, P., Hung, S., Cheng, M., Chen, P., Hung, S., Cheng, M., & Chen, P. (2012). Reexamining the Factors for Trust in Cultivating Online Customer Repurchase Intentions : The Moderating Effect of Perceived Waiting Reexamining the Factors for Trust in Cultivating Online Customer Repurchase Intentions : The Moderating Effect. October 2014, 37–41. https://doi.org/10.1080/10447318.2011.654201

Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144–176. https://doi.org/10.1287/isre.6.2.144

Wong, K. K.-K. (2013). Partial Least Squares Structural Equation Modeling (PLS-SEM) Techniques. Marketing Bulletin, Technical Note 1., 24.

Wu, L., Chen, K., Chen, P., & Cheng, S. (2014). Perceived value , transaction cost , and repurchase-intention in online shopping : A relational exchange perspective. Journal of Business Research, 67(1), 2768–2776. https://doi.org/10.1016/j.jbusres.2012.09.007

Zeithaml, V. A. (1988). Consumer Perceptions Of Price , Quality , And Value : A Means-.

Zhang, Y., Fang, Y., Wei, K., Ramsey, E., Mccole, P., & Chen, H. (2011). Information & Management Repurchase intention in B2C e-commerce — A relationship quality perspective §. Information & Management, 48(6), 192–200. https://doi.org/10.1016/j.im.2011.05.003

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Published

2023-08-02
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