Main Article Content
Along with the development of technology in retail, consumers have increased their expectation about experience convenience in retail. Starting with the growth of various platform, the next development is the experience that combined both offline and online service known as Omnichannel. The Omnichannel Service Adoption is explained by Wixom Model shows the relationship of object-based beliefs, channel integration quality, perceived fluency, and internal and external usage experience as moderating effects of perceived fluency. The adoption of Omnichannel is important to deliver a consistency of data and user experience compared to multichannel. The research uses quantitative approach with Structural Equation Model (SEM) PLS for data analytic. The population is referred to Berrybenka, a prominent fashion e-commerce in Jakarta, customers. The result shows that Breadth Channel Choice, Channel Service Transparency, Content Consistency and Process Consistency have a significant and positive influence on perceived fluency. The implication and limitation of the research are also highlighted.
Mac Síthigh, D. App law within: Rights and regulation in the smartphone age. International Journal of Law and Information Technology. 2013;21(2):154-186.
Shen XL, Li YJ, Sun Y, Wang N. Channel integration quality, perceived fluency and omnichannel service usage: The moderating roles of internal and external usage experience. Decision Support Systems. 2018;109(2017):61–73.
Juaneda-Ayensa E, Mosquera A, Sierra Murillo Y. Omnichannel customer behavior: key drivers of technology acceptance and use and their effects on purchase intention. Frontiers in Psychology. 2016;7:1117.
Medrano N, Olarte-Pascual C, Pelefrin-Borondo J, Sierra-Murillo Y. Consumer behavior in shopping streets: The importance of the salesperson's professional personal attention. Front. Psychol. 2016;7:125.10.338.
Ternstrand C, Selldin E, Virta N, Linder S. Omni-Channel Retail - a Deloitte Point of View. Deloitte; 2015.
Hendriyani C, Auliana L. Transformation from relationship marketing to electronic customer relationship management : A literature study. Review of Integrative Business and Economics Research. 2018;7(2):116–121.
Yanuardi AW, Indah PY, Wahyudi WT, Nainggolan B. Analisis omnichannel customer experience maturity Di Pt. telekomunikasi Indonesia. Journal Manajemen Indonesia. 2017;16(2):81.
Wixom BH, Todd PA. A theoretical integration of user satisfaction and technology acceptance. Information Systems Research. 2005;16(1):85–102.
Sousa R, Voss CA. Service quality in multichannel services employing virtual channels. Journal of Service Research. 2006;8(4):356–371. Available:https://doi.org/10.1177/1094670506286324
Majrashi K, Hamilton M. A cross-platform usability measurement model. Lecture Notes on Software Engineering. 2014;3(2): 132–144. Available:https://doi.org/10.7763/lnse.2015.v3.179
Lennon P. Investigating fluency in EFL: A quantitative approach. Language Learning. 1990;40(3):387–417
Zhang W, Ke R. Trust in China: A cross-regional analysis. Ssrn. 2004;586.
Cheung CMK, Shen XL, Lee ZWY, Chan TKH. Promoting sales of online games through customer engagement. Electronic Commerce Research and Applications, 2015;14(4):241–250. Available:https://doi.org/10.1016/j.elerap.2015.03.001
Brynjolfsson E, Hu YJ, Rahman MS. Competing in the age of Omnichannel retailing brought to you by. International Journal of Electronic Commerce. 2013;18(4):5–16. Available:https://doi.org/10.2753/JEC1086-4415180400
Gupta S, Lehmann DR, Stuart JA. Valuing customers. Journal of Marketing Research. 2004;41(1):7–18. Available:https://doi.org/10.1509/jmkr.184.108.40.20684
Verhoef PC, Kannan PK, Inman JJ. From multi-channel retailing to omni-channel retailing. Introduction to the special issue on multi-channel retailing. Journal of Retailing. 2015;91(2):174–181.
Herhausen D, Binder J, Schoegel M, Herrmann A. Integrating bricks with clicks: retailer-level and channel-level outcomes of online-offline channel integration. Journal of Retailing. 2015;91(2):309–325.
Berman B, Thelen S. A guide to developing and managing a well‐integrated multi‐channel retail strategy. International Journal of Retail & Distribution Management. 2004;32(3):147-156.
Wang W, Qiu L, Kim D, Benbasat I. Effects of rational and social appeals of online recommendation agents on cognition- and affect-based trust. Decision Support Systems. 2016;86:48–60.
Shim S, Eastlick MA, Lotz SL, Warrington P. An online prepurchase intentions model. Journal of Retailing. 2001;77(3):397–416.
Noor J. Metodologi penelitian: Skripsi, Tesis, Disertasi & Karya Ilmiah. Prenada Media; 2011.
Garson DG. Partial Least Squares (PLS-SEM); 2016.
Hair JF, Ringle CM, Sarstedt M. Partial least squares structural equation Modeling: rigorous applications, Better Resultes and Higher Acceptance. Long Range Planning. 2013;46(1–2):1–12. Available:https://doi.org/10.1016/j.lrp.2013.01.001
Ghozali I. Structural equation modeling, metode alternatif dengan Partial Least Square (PLS) (4th ed.). Semarang: Badan Penerbit Universitas Diponegoro; 2014.
Gold AH, Malhotra A, Segars AH. An organizational capabilities perspective. Journal of Management Information System. 2001;18(1):185-214.
Cohen J. Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates; 1988.
Geisser S. A predictive approach to the random effect model. Biometrika. 1974;61(1):101-107.
Stone M. Cross-validation and multinomial prediction. Biometrika. 1974;61(3):509–515.
Chin WW. The partial least squares approach to structural equation modeling. In GA Marcoulides (Ed.), Modern methods for business research Mahwah, NJ: Lawrence Erlbaum Associates. 1998;295–358.
Henseler J, Ringle CM, Sinkovics RR. The use of partial least squares path modeling in international marketing. Advances in International Marketing. 2009;20:277-319.
Tenenhaus M, Vinzi VE, Chatelin YM, Lauro C. PLS path modeling. Computational Statistics and Data Analysis. 2005;48(1):159–205 .
Fornell C, Cha J. Partial least squares. In RP Bagozzi (Ed.), Advanced methods of Marketing Research. Cambridge, England: Blackwell. 1994;52-78.
Mosteller J, Donthu N, Eroglu S. The fluent online shopping experience. Journal of Business Research. 2014;67(11):2486-2493. Available:http://dx.doi.org/10.1016/j.jbusres. 2014.03.009
Gong W, Maddox LM, Stump RL. Attitudes toward online shopping: A comparison of online consumers in China and the US. International Journal of E-Business Development (IJED) IJED World Academic Publishing. 2012;2(1):28–35.
Hidayatullah S, Waris A, Devianti RC. Jurnal Manajemen & Kewirausahaan: Perilaku Generasi Milenial dalam Menggunakan Aplikasi Go-Food; 2018.
Kementerian Pemberdayaan Perempuan dan Perlindungan Anak. Profil Generasi Milenial Indonesia. Kementerian Pemberdayaan Perempuan dan Perlindungan Anak; 2018.
Milewski P. Here comes the young! Changing consumption behavior in China. Retrieved from 6th Annual China; 2015. Investment Conference website: https://www.credit-suisse.com/corporate/en/articles/news-and-expertise/here-comes-the-young-changing-consumption-behavior-in-china-201511.html
Radzan R, Das M, Sohoni A. The evolving Indonesian consumer; 2014.
Yuliani Ayu (n.d.). Pandai Memanfaatkan Teknologi Digital.
Nelson RR, Todd PA, Wixom B. Antecedents of information and system quality: An empirical examination within the context of data warehousing. Journal of Management Information System. 2015;21 (4):199-236.