Augmenting Customer Intention to Use Mypertamina Trough Predictors

Authors

  • Hendra Riofita Sultan Sarif Kasim State Islamic University, Riau, Indonesia

DOI:

https://doi.org/10.12695/jmt.2023.22.2.3

Abstract

Abstract. This study is conducted regarding the negative responses toward the plan of Indonesian government to apply MyPertamina. Customer intention to use the application is developed. This study employs and measures the capability of buying functions as the predictor of the customer intention to use, as well as customer trust and customer value to mediate the effect of the buying functions on the customer intention to use. The data processed using SPSS and Amos programs is taken using non probable and snowball sampling technique from subsidized fuel customers at the socialization area of MyPertamina. 167 respondents have participated in 10 days online survey to response the 12 statements provided on quostionnaire. The findings show that all hypotheses are supported significantly.

Keywords: Trust, value, buying functions, MyPertamina.


Abstrak. Penelitian ini dilakukan berkaitan dengan tanggapan negatif terhadap rencana pemerintah Indonesia menerapkan MyPertamina. Customer intention to use dikembangkan. Studi ini menggunakan dan mengukur kemampuan buying functions sebagai prediktor customer intention to use tersebut, dan customer trust dan customer value untuk memediasi pengaruh buying functions terhadap customer intention to use tersebut. Data yang diolah dengan program SPSS dan Amos diambil dengan teknik non probable dan snowball sampling dari pelanggan BBM bersubsidi di area sosialisasi MyPertamina. 167 responden telah berpartisipasi dalam survey online yang diselenggarakan selama 10 hari, untuk menanggapi 12 pernyataan yang disediakan pada kuisioner. Temuan menunjukkan bahwa semua hipotesis didukung secara signifikan.

Kata kunci: Trust, value, buying functions, MyPertamina

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References

Abeksi, A., & Hemchand, S. (2016). Adoption of Sensor Based Communication for Mobile Marketing in India. Journal of Indian Business Reserah 8(1), 65–76. doi: 10.1108/JIBR-08-2015-0091

Aditya,F., Rachma, N., Kosasih, D. M., and Gunadi, W. (2021). Indonesian Mom-Influencers: The New Representative Faces of Corporations through Instagram. Studying the Effect of Endorsers and Corporate Credibility on Consumer Attitude and Purchase Intention. Jurnal Manajemen Teknologi, 20(23), 225-240. doi: 10.12695/jmt.2021.20.3.2

Bagozzi, R. P., & Phillips, L. W. (2014). Representing and Testing Organizational Theories: A Holistic Construal. Administrative Science Quarterly. 27(3), 459-489. doi: 10.2307/2392322

Baron, R. M., & Kenny, D. A. (1986). The Moderator-Mediator Variable Distinction in Social Psychological Research. Conceptual, Strategic, and Statistical Considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182. doi: 10.1037/0022-3514.51.6.1173

Bradach, J. L., & Eccles, R. G. (1989). Price, Authority, and Trust: From Ideal Types to Plural Forms. Annual Review of Sociology, 15(1), 97–118. doi: 10.1146/annurev.so.15.080189.000525

Bunduchi, R. (2005). Business Relationships in Internet-Based Electronic Markets: The Role of Goodwill Trust and Transaction Costs. Information Systems Journal, 15(4), 321–341. doi: 10.1111/j.1365-2575.2005.00199.x

Chauhan, S. (2015). Acceptance of Mobile Money by Poor Citizens of India: Integrating Trust into the Technology Acceptance Model. Info, 7(1), 58-68. doi: 10.1108/info-02-2015-0018

Dahlberg, T., Mallat, N., Ondrus, J., & Zmijewska, A. (2008). Past , Present and Future of Mobile Payments Research: A Literature Review. Electronoic Commerce Research and Applications, 7(2), 165–181. doi: 10.1016/j.elerap.2007.02.001

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8),982–1003. doi: 10.1287/mnsc.35.8.982

Duane, A., O’Reilly, P., & Andreev, P. (2014). Realising M-Payments: Modelling consumers’ willingness to M-Pay Using Smart Phones. Behaviour and Information Technology, 33(4),318–334. doi: 10.1080/0144929X.2012.745608

Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Reseach. Journal of Business Venturing. Addison-Wesley Publishing.

Gale, B., Bradley T., G., & Wood, R. C. (1994). Managing Customer Value: Creating Quality and Service That Customers Can See. New York: The Free Press.

Ganesan, S. (1994). Determinants of Long-Term Orientation in Buyer-Seller Relationships. Journal of Marketing, 58(2), 1–19. doi: 10.2307/1252265

Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in Online Shopping: An Integrated Model. MIS Quarterly, 27(1), 51–90. http://www.jstor.org/stable/30036519

Geyskens, I., Steenkamp, J., & Kumar, N. (1999). A Meta-Analysis of Satisfaction in Marketing Channel Relationships. Journal of Marketing Research, 36(2), 223–238. doi: 10.2307/3152095

Gupta, S., Yun, H., Xu, H., & Kim, H. (2017). An Exploratory Study on Mobile Banking Adoption in Indian Metropolitan and Urban Areas : A Scenario-Based Experiment. Information Technology for Development, 23(1), 127–152. doi: 10.1080/02681102.2016.1233855

Hair, J. F., Hult, G. T. M., & Ringle, C. M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM ) (2nd ed.). SAGE.

Hu, X., Li, W., & Hu, Q. (2008). Are Mobile Payment and Banking the Killer Apps for Mobile Commerce? Proceedings of the Annual Hawaii International Conference on System Sciences, 1–10. doi: 10.1109/HICSS.2008.69

Kim, K., & Kim, J. (2011). Third-party Privacy Certification as an Online Advertising Strategy: An Investigation of the Factors Affecting the Relationship between Third-party Certification and Initial Trust. Journal of Interactive Marketing, 25(3), 145–158. doi: 10.1016/j.intmar.2010.09.003

Kim, M. J., Chung, N., & Lee, C. K. (2011). The Effect of Perceived Trust on Electronic Commerce: Shopping Online for Tourism Products and Services in South Korea. Tourism Management, 32, 256–265. doi: 10.1016/j.tourman.2010.01.011

Kim, T., Kim, T., Wang, J., & Chen, J. (2018). Mutual Trust between Leader and Sbordinate and Employee Outcomes. Journal of Business Ethics, 149(4), 945–958. doi: 10.1007/s10551-016- 3093-y

Kline, R. B. (1998). Software Review: Software Programs for Structural Equation Modeling: Amos, EQS, and LISREL. Journal of Psychoeducational Assessment, 16(4), 343–364. doi: 10.1177/073428299801600407

Lee, M. K. O., & Turban, E. (2001). A Trust Model for Consumer Internet Shopping. International Journal of Electronic Commerce, 6(1), 75–91. doi: 10.1080/10864415.2001.11044227

Liébana-cabanillas, F., Marinkovic, V., Ramos, I., Luna, D., & Kalinic, Z. (2018). Predicting the Determinants of Mobile Payment Acceptance: A Hybrid SEM-Neural Network Approach. Technological Forecasting & Social Change, 129(December), 117–130. doi: 10.1016/j.techfore.2017.12.015

Ma, B., & Wei, Q. (2012). Measuring the Coverage and Redundancy of Information Search Services on E-Commerce Platforms. Electronic Commerce Research and Applications, 11, 560–569. doi: 10.1016/j.elerap.2012.09.001

Madan, K., & Yadav, R. (2016). Behavioural Intention to Adopt Mobile Wallet: A Developing Country Perspective. Journal of Indian Business Research, 8(3), 227–244. doi: 10.1108/jibr-10-2015-0112

Michalski, T. (2003). E-Service Innovations through Corporate Entrepreneurship. International Journal of Management and Decision Making, 4(2–3), 194–209. doi: 10.1504/ijmdm.2003.003504

Monroe, K. B. (1990). Pricing : Making Profitable Decisions. McGraw Hill.

Mozdzinski, D. (2018). Acceptance of Payment Systems from the Perspective of Merchants. Information System in Management, 7, 16–34. doi: 10.22630/ISIM.2018.7.1.3

Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile Payment: Understanding the Determinants of Customer Adoption and Intention to Recommend the Technology. Computers in Human Behavior, 61(2016), 404–414. http://dx.doi.org/10.1016/j.chb.2016.03.030

Parasuraman, A. (1997). Reflections on Gaining Competitive Advantage Through Customer Value. Academy of Marketing Science, 25(2), 154–161. doi: 10.1007/bf02894351

Paul, D. L., & McDaniel, R. R. (2004). A Field Study of the Effect of Interpersonal Trust on Virtual Collaborative Relationship Performance. MIS Quarterly, 28(2), 183–228. doi: 10.2307/25148633

Ratnasingham, P. (1998). The Importance of Trust in Electronic Commerce. Internet Research, 8(4), 313–321. doi: 10.1108/10662249810231050

Riofita, H., (2022). Developing Digital Empowerment Programs to Enhance the Marketing Performance of Private Islamic Higher Education Institutions. Muslim Business and Economic Review. 1(2), 257-280. doi: 10.56529/mber.v1i2.70

Riofita, H., & Dimasadra, W. (2022). Strengthening Social Media Capabilities to Improve Private Islamic Higher Education Marketing Performance. Asian Journal of Islamic Management (AJIM), 4(2), 110–125. doi: 10.20885/AJIM.vol4.iss2.art3

Riofita, H., & Iqbal, M. (2022). Enhancing Islamic Higher Education Image as the Halal Industry Driving Indonesian Halal Industries. Journal of Digital Marketing and Halal Industryl, 4(1), 77-90. doi: 10.21580/jdmhi.

Rousseau, D. M., Burt, R. S., Sitkin, S. B., & Camerer, C. (1998). Not So Different After All: A Cross-discipline View of Trust. Academy of Management Review, 23(3), 393–404. doi: 10.5465/AMR.1998.926617

Safeena, R., Kammani, A., & Date, H. (2018). Exploratory Study of Internet Banking Technology Adoption, Technology Adoption and Social Issues: Concepts, Methodologies, Tools, and Applications. IGI Global Hershey, 333–355. doi: 10.4018/978-1-5225-5201-7.ch015

Shaw, N. (2014). The Mediating Influence of Trust in the Adoption of the Mobile Wallet. Journal of Retailing and Consumer Services, 21(4), 449–459. doi: 10.1016/j.jretconser.2014.03.008

Singh, Shubhangi, Sahni, M. M., & Kovid, R. K. (2021). Exploring Trust and Responsiveness as Antecedents for Intention to Use FinTech Services. International Journal of Economis and Business Research, 21(2), 254–268. doi: 10.1504/IJEBR.2021.10031000

Singh, Sindhu, & Srivastava, R. K. (2018). Predicting the Intention to Use Mobile Banking in India. International Journal of Bank Marketing, 36(2), 357–378. doi: 10.1108/ijbm-12-2016-0186

Spekman, R. E., Isbaella, L. A., & MacAvoy, T. C. (2000). Alliance Competence: Maximizing the Value of Your Partnerships. John Wiley.

Tazkiyyaturrohmah, R. (2018). Eksistensi Uang Elektronik Sebagai Alat Transaksi Keuangan Modern. 3(1), 23. Muslim Heritage.doi: 10.21154/muslimheritage.v3i1.1240

Usman, R. (2017). Karakteristik Uang Elektronik dalam Sistem Pembayaran. 32(1), 134–166. Yuridika doi: 10.0.79.249/ydk.v32i1.4431

Valery A. Zithaml, Leonard L. Berry, A. P. (1996). The Behavioral Consequences of. Journal of Marketing, 60(April), 31–46. doi: 10.2307/1251929

Varki, S., & Colgate, M. (2001). The Role of Price Perceptions in an Integrated Model of Behavioral Intentions. Journal of Service Research, 3(3), 232–240. doi: 10.1177/109467050133004

Venkatesh, V., & Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186–204. doi: 10.1287/mnsc.46.2.186.11926

Venkatesh, V., Thong, J. Y. L., & Xu, X. (2013). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 37(1), 21–54. doi: 10.25300/MISQ/2013/37.1.02

Walter, A., Hölzle, K., & Ritter, T. (2002). Relationship Functions and Customer Trust as Value Creators in Relationships: A Conceptual Model and Empirical Findings for the Creation of Customer Value. Industrial Marketing Management, 30(4), 365–377.

Wang, Y. M., Zaman, H. M. F., & Alvi, A. K. (2022). Linkage of Green Brand Positioning and Green Customer Value With Green Purchase Intention: The Mediating and Moderating Role of Attitude Toward Green Brand and Green Trust. SAGE Open, April-June, 1–15. doi: 10.1177/21582440221102441

Wang, Y., Wang, S., Wang, J., & Wei, J. (2020). An Empirical Study of Consumers’ Intention to Use Ride-Sharing Services: Using an Extended Technology Acceptance Model. Transportation, 47(2), 397-415. doi: 10.1007/s11116-018-9893-4

Wang, Y., po lo, H., Chi, R., & Yang, Y. (2004). An Integrated Framework for Customer Value and Customer-Relationship-Management Performance: A Customer-Based Perspective from China. Managing Service Quality, 2(3), 169–182. doi: 10.1108/09604520410528590

Warkentin, M., Gefen,D., Pavlou, Paul A. & Rose, Gregory M. (2002). Encouraging Citizen Adoption of e-Government by Building Trust. Electronic Markets, 12(3), 157–162.

Zeithaml, V. A. (1988). Antithymocyte Globulin Reacts with Many Normal Human Cell Types. Journal of Marketing, 52(July), 2–22. doi: 10.1182/blood.v62.5.1047.1047

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Submitted

2022-08-10

Accepted

2023-06-23

Published

2023-09-04

How to Cite

Riofita, H. (2023). Augmenting Customer Intention to Use Mypertamina Trough Predictors. Jurnal Manajemen Teknologi, 22(2), 149–167. https://doi.org/10.12695/jmt.2023.22.2.3

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