Prediksi Penggunaan Aktual E-Toll Card dengan Pendekatan Persamaan Model Struktural

Authors

  • Aldio Pramudia Gunadi
  • Sabrina Oktaria Sihombing Universitas Pelita Harapan

DOI:

https://doi.org/10.12695/jmt.2015.14.2.3

Abstract

Abstrak. Tujuan penelitian ini adalah untuk menguji hubungan-hubungan antar variabel dalam memprediksi penggunaan aktual inovasi jasa. Variabel-variabel dalam penelitian ini adalah pengaruh resistensi terhadap perubahan, nilai yang dirasakan, sikap terhadap inovasi jasa, niat untuk menggunakan inovasi jasa, dan kepribadian inovatif. Teknik pengumpulan data dalam penelitian ini dilakukan dengan menggunakan kuesioner dengan metode non-probabilitas sampling. Jumlah responden adalah sebanyak 212 responden. Data kemudian dianalisa dengan Structural Equation Modeling (SEM). Hasil menunjukkan bahwa tiga dari lima hipotesis didukung. Ketiga hipotesis tersebut adalah niat merupakan prediktor yang signifikan terhadap penggunaan inovasi jasa.  Niat itu sendiri juga dipengaruhi oleh sikap terhadap inovasi jasa. Nilai yang dirasakan merupakan prediktor yang signifikan atas sikap terhadap inovasi jasa. Akan tetapi, hasil penelitian menunjukkan bahwa resistensi terhadap perubahan dan kepribadian inovatif bukan merupakan prediktor yang signifikan terhadap niat untuk menggunakan inovasi jasa. Penelitian ini juga memberikan keterbatasan dan saran untuk penelitian selanjutnya. 


Kata kunci: transportasi, penggunaan aktual, E-toll card, inovasi jasa, SEM

Abstract. The purpose of this study is to examine the relationships between variables in predicting the actual use of innovation services. The variables in this study include resistance to change, perceived value, attitude towards innovation services, the intention to use the innovation services, and innovative personality. Data collection techniques in this study conducted by questionnaire with non-probability sampling method. The number of respondents was 212 respondents. Data was then analyzed by Structural Equation Modeling (SEM). Results showed that three out of five hypotheses are supported. Those hypotheses include the intention of a significant predictor of the use of innovation services. Intention itself is also influenced by the attitude towards innovation services. The perceived value is a significant predictor of the attitude towards innovation services. However, the results showed that the resistance to change and innovative personality is not a significant predictor of the intention to use the innovation services. This study also provides research limitations and suggestions for further research.


Keywords: transportation, actual use, E-toll card, service innovation, SEM



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References

Aaker, D. A., Kumar, V., Day, G. S., & Leone, R. O. (2011). Marketing Research,10thed. United States: John Wiley & Sons (Asia) Pte Ltd.
Abdel-Wahab, A. G. (2008). Modeling students' intention to adopt e-learning acase from Egypt. Turkish Online Journal of Distance Education, 9 (1), 157-168.
Aharony, N. (2012). Librarians' attitudes towards mobile services. Worl Library and Information Congress: 78th IFLA General Conference and Assembly, Helsinki.
Ahmed, I., Nawaz, M. M., Ahmad, Z., Shaukat, M. Z., Usman, A., Rehman, W., & Ahmed, N. (2010). Determinants of students' entrepreneurial career intention: Evidence from business graduates. European Journal of Social Sciences, 15(2), 14-22.
Ahmed, P. K., & Shepherd, C. D. (2010). Innovation Management Context, Strategies, Systems, and Processes. London: Pearson Education Limited.
Alenezi, A. R., Karim, A. M. A., & Veloo, A. (2011). Institutional support and e-learning acceptance: An extension of the technology acceptance model. International Journal of Instructional Technology and Distance Learning, 8(2), 3-16.
Asmaningtias, Y. T. (2009). Kemampuan matematika laki-laki dan perempuan. Madrasah, 1(2).
Baker-Eveleth L., & Stone, R. W. (2008). Expectancy theory and behavioral intention to use computer applications. Interdiciplinary Journal of Information, Knowledge, and Management, 3, 35-146.
Bhattacherjee, A., & Hikmet, N. (2007). Physicians' resistance toward healthcare information technologies: Adual-factor model. 4th Hawaii International Conference on System Sciences.
Bigné-Alcañiz, E., Ruiz-Mafé, C., Aldás-Manzano, J., & Sanz-Blas, S. (2008). Influence of online shopping information dependency and innovativeness on internet shopping adoption. Online Information Review, 32(5), 648-667.
Chang, C. (2013). Exploring the determinants of e-learning systems continuance intention in academic libraries. Library Management, 34(1), 40-55.
Chatzoglou, P. D., Vraimaki, E., Diamantidis, A., & Sarigiannidis, L. (2010). Computer acceptance in Greek SMEs. Journal of Small Business and Enterprise Development, 17(1), 78-101.
Chen, Y., & Chang, C. (2012). Enhance green purchase intentions: The roles of green perceived value, green perceived risk, and green trust. Management Decission, 50 (3), 502-520.
Chesbrough, H. (2010). Open Services Innovation, Rethingking Your Business to Grow and Compete In a New Era. United Statess of America: Jossey-Bass.
Crittin, A. V., Sprott, D. E., Silverman, S. N., & Stem, Jr., D. E. (2000). Adoption of internet shopping: The role of consumer innovativeness. Industrial Management & Data Systems, 100 (7), 294 – 300.
Daft, R. L. (2011). Management, 10thed. United States of America: South-Western Cengage Learning.
Darlon, E. B. (2007). Adolescent Behavior Research Advance. New York: Nova Science Publishers, Inc.
Davis, F.D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340.
Deng, S., Liu, Y., & Qi, Y. (2011). An empirical study on determinants of web based question-answer service adoption. Online Information Review, 35(5), 789 – 798.
Devashish, D. (2011). Tourism Marketing. India: Dorling Kindersley, Pvt. Ltd.
Dyer, Wayne W. (2010). The Power of Intention.United States: Hay House.
Erwin, D. G., & Garman, A. N. (2010). Resistance to organizational change: Linking research and practice. Leadership & Organization Development Journal, 31(1), 39–56.
Fagan, M. Kilmon, C., & Padey, V. (2012). Exploring the adoption of a virtual reality simulation: The role of perceived ease of use, perceived usefulness and personal innovativeness. Campus-Wide Information Systems, 29(2), 117-127.
Ferdousi, B., & Levy, Y. (2010). Development and validation of a model toinvestigate the impact of individual factors on instructors' intention to use e-learning systems. Interdiciplinary Journal of E-Learning and Learning Objects, 6.
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley.
Fisk, R. P., Grove, S. J., & John, J. (2008). Interactive Services Marketing,3rded. United States of America: Houghton Mifflin Company.
Forgas, J.P., Cooper, J., & Crano, W. D. (2010). The Psychology of Attitudes and Attitude Change. New York: Taylor & Francis Group.
Ghozali, I. (2007). Model Persamaan Struktural Konsep&Aplikasi Dengan Program Amos 16.0 Edisi 3. Semarang: Badan Penerbit – UNDIP.
Ghozali, I. (2011). Aplikasi Analisis Multivariat dengan Program IBM SPSS 19. Semarang: Badan Penerbit – UNDIP.
Gitman, L. J., & McDaniel, C. (2008). The Future of Business The Essentials, 4thed. United States of America: South-Western Cengage Learning.
Goodwind, C. J. (2009). Research in Psychology:Methods and Design, 6thed. Canada: John Willey & Sons.
Gudono (2012). Analisis Data Multivariat. Yogyakarta: BPFE.
Gumnussoy, C. A., Calisir, F., & Bayram, A. (2007). Understanding the behavioral intention to use ERP systems: An extended technology acceptance model. Proceedings of the 2007, IEEE IEEM.
Guo, X., Sun, Y., Wang, N., Peng, Z., & Yan, Z. (2012). The dark side of elderly acceptance of preventive mobile health services in China. Electron Markets.doi:10.1007/s12525-012-0112-4.
Hair, J. F. Jr., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis A Global Perspective, 7thed. New Jersey: Pearson Education, Inc.
Hair, J. F. Jr., Bush, R. P., & Ortinau, D. J. (2009). Marketing Research, 4th ed. New York: The McGraw-Hill Companies, Inc.
Hair, J. F. Jr., Black, W. C., Babin, B. J., & Anderson, R. E. (2007). Multivariate Data,6thed. New Jersey: Pearson Education, Inc.
Harden, G. Ryan, S. D., & Prybutok, V. R. (2012). Social networking site continuance: The paradox of negative consequences and positive growth. International Journal of an Emerging Transdiscipline, 15, 207-227.
Ho, C., & Wu, W. (2011). Role of innovativeness of consumer in relationship between perceived attributes of new products and intention to adopt.International Journal of Electronic Business Management, 9(3), 258-266.
Hoffman, K. D., & Bateson, J. E. G. (2010). Service Marketing Concepts, Strategies, & Cases, 4thed. United States of America: South-Western Cengage Learning.
Huang, E. (2008). Use and gratification in e-consumers. Internet Research, 18(4), 405 – 426.
Iskander, M. (2008). Innovative Techniques in Instruction Technology, E-learning, E-assessment and Education.United States of America: Springer Sciences+Business Media B. V.
Jahangir, N., & Begum, N. (2008). The role of perceived usefulness, perceived ease of use, security and privacy, and customer attitude to engender customer adaptation in the context of electronic banking. African Journal of Business Management, 2(1), 032 – 040.
Jain, R. K., Triandis, H. C., & Weick, C. W. (2010). Managing Research, Development, and Innovation, 3rd ed. Managing the Unmanageable.
Jasamarga.(2010). Inverstor summit dan capital market expo 2010. Jakarta. Jasa Marga Update, p. 20.
Ju, T. L., Hao-Fan, C., & Yu-Hsin, C. (2007). Factors that affect user intention toward e-learning system – Integrating information quality, system quality and habitual domain with TAM. IADIS International Conference e-Learning.
Katos, V. (2012). An integrated model for online transactions: Illuminating the black box. Information Management & Computer Security, 20(3), 184 – 206.
Kim, H., Fiore, A.M., Niehm, L. S., & Jeong, M. (2009). Psychographic characteristics affecting behavioral intentions toward pop-up retail. International Journal of Retail & Distribution Management, 38(2), 133-154.
Kim, S., & Kim, M. (2013). Comparison of perception toward the adoption and intention to use smart education between elementary and secondary school teachers.The Turkish Online Journal of Educational Technology, 12(2), 63-76.
Kim, Y. & Crowston, K. (2011). Technology adoption and use theory review for studying scientists' continued use of cyber-infrastructure. Paper presented at the 74th Annual Meeting of the Association for Information Science and Technology. New Orleans, Louisiana.
Lamb, C. W., Hair, J. F., & McDaniel, C. D. (2011). Essentials of Marketing, 7thed. United States of America: South-Western Cengage Learning.
Lang, G. M. (2007). The Work Environment of Army Hospital Nurses: Measurement and Construct Validity. United States of America: ProQuest Information and Learning Company.
Lantos, G. P. (2010). Consumer Behavior in Action Real-Life Applications for Marketing Managers. New York: M.E Sharpe, Inc.
Lee, B. C.Y. (2012). The determinants of consumer attitude toward service innovation – The evidence of ETC system in Taiwan. Journal of Services Marketing, 26(1), 9 – 19.
Lee, D., Son, I., Yoo, M., & Lee, J. (2012). Understanding the adoption of convergent services: The case of IPTV. Pacific Asia Journal of the Association for Information Systems 4 (1): 19-48.
Lee, H., Cho, H. J., Xu, W., & Fairhurst, A. (2010). The influence of consumer traits and demographics on intention to use retail self-service checkouts. Marketing Intelligence & Planning, 28(1), 46-58.
Lee, J., Cerreto, F. A., & Lee, J. (2010). Theory of planned behavior and tearcher's decissions regarding use of educational technology. Educational Technology dan Society, 13(1), 152-164.
Lee, R., & Ishii, N. (2009). Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. Berlin: Springer-Verlag.
Letchumanan, M., & Tarmizi, R. (2011). Assessing, the intention to use e-book among enginering undergraduates in University Putra Malaysia, Malaysia. Library Hi Tech, 29(3), 512-528.
Lin, F., & Hung, Y. (2009). The value of and attitude toward sponsored links for internet information searchers.Journal of Electronic Commerce Research, 10(4): 235-251.
McBurney, D. H., & White, T. L. (2009). Research Methods 8th ed. United States of America: Wadsworth Cengage Learning.
Mitchell, J. E., & Peterson, C. B. (2007). Assessment of Eating Disorders. New York: A Division of Guilford Publications, Inc.
Mohammad, A. A. S. (2012). The effect of brand trust and perceived value in building brand loyalty. International Research Journal of Finance and Economics, (85).
Nov, O., & Ye, C. (2009). Resistance to change and the adoption of digital libraries: an integrative model. Journal of the American Society for Information Science and Technology , 60(8), 1702-1708.
Oreg, S., & Berson, Y. (2011). Leadership and employees' reactions to change: the role of leaders' personal attributes and transformational leadership style. Personel Psychology, 64, 627-659.
Park, H., Burns, L.D., & Rabolt, N. J. (2007). Fashion innovativeness, materialism, and attitude toward purchasing foreign fashion goods online across national bordes. Journal of Fashion Marketing and Management, 11(2), 201-214.
Parveen, F. & Sulaiman, A. (2008). Technology complexity, personal innovativeness and intention to use wireless internet using mobile devices In Malaysia. International Review of Business Research Papers, 4(5), 1-10.
Pless, N. M., & Maak, T. (2012). Responsible Leadership. London: Springer Science+Business Media.
Rangkuti, F. (2009). Mengukur Efektivitas Program Promosi & Analisis Kasus Menggunakan SPSS. Jakarta: PT. Gramedia Pustaka Utama.
Rotchanakitumnuai, S., & Speece, M. (2009). Modeling electronic service acceptance of an e-securities trading system. Industrial Management & Data Systems, 109 (8), 1069-1084.
Rzem, H., & Debabi, M. (2012). Store image as a moderator of store brand attitude. Journal of Business Studies Quarterly, 4(1), 130–148.
Salkind, N. J. (2010). Encyclopedia of Research Design, Volume 1. United States of America: SAGE Publication.
Sambasivan, M., Wemyss, G. P., & Rose, R. C. (2010). User acceptance of a G2B system: Acase of electronic procurement system in Malaysia. Internet Research, 20(2),169–187.
Sangle, P. S., and Awasthi, P. (2011). Consumer's expectations from mobile CRM services: Abanking context. Business Process Management Journal, 17(6), 898-918.
Sargent, K., Hyland, P., and Sawang, S. (2012). Factors influencing the adoption of information technology in a construction business.Australian Journal of Construction Economics and Building, 12(2), 72–86.
Sari, H. R. (2012). Selama 2012, 13 jute kendaraan sesaki Jakarta. Diambil dari:http://www.merdeka.com/jakarta/selama-2012-13-juta-kendaraan-sesaki-jakarta.html
Saxena, R. (2009). Marketing Management, 4th ed. New Delhi: Tata McGraw Hill Education Private Limited.
Schiffman, L. G., Kanuk, L. L., and Wisenblit, J. (2010). Consumer Behavior, 10thed. New Jersey: Pearson Education.
Sedana, I. G. N., and Wijaya, St. W. (2010). UTAUT model for understanding learning management system. Internetworking Indonesia Journal, 2(2), 27-32.
Sekaran, U., and Bougie, R. (2013). Research Methods for Business A Skill Bulding Approach, 6th ed. United Kingdom: John Wiley & Sons.
Shaughnessy, J. J., Zechmeister, E. B., and Zechmeister, J. S. (2009). Research Methods in Psychology. New York: The McGraw-Hill Companies, Inc.
Shilbury, D., Weserbeek, H., Quick, S., and Funk, D. (2009). Strategic Sport Marketing, 3thed. Australia: National Library.
Shroff, R. H., Deneen, C. C., and Eugeina, M. W. Ng. (2011). Analysis of the technology acceptance model in examining students' behavioural intention to use an e-portofolio system. Australian Journal of Educational Technology, 27(4), 600-618.
Suki, N. M. (2011). Factor afecting third generation (3G) mobile service acceptance: Evidence from Malaysia. Journal of Internet Banking and Commerce, 16 (1), 1-12.
Suki, N. M., and Suki, N. M. (2011). Exploring the relationship between perceived usefulness, perceived ease of use, perceived enjoyment, attitude and subscribers' intention toward using 3G mobile services. Journal of Information Technology Management, 22(1), 1-7.
Surendran, P. (2012). Technology acceptance model: a survey of literature. International Journal of Business and Social Research, 2(4), 175-178.
Šumak, B., Heričko, M., Pušnik, M., and Polančič, G. (2011). Factors affecting acceptance and use of moodle: An empirical study based on TAM. Informatica, 35, 91-100.
Swann, G. M. P. (2009). The Economics of Innovation:An Introduction. United States of America: Edward Elgar Publishing, Inc.
Swilley, E. (2010). Technology rejection: The case of the wallet phone. Journal of Consumer Marketing, 27(4), 304 – 312.
Taleghani, M., Largani, M. S., Mousavian, S. J. (2011). The investigation and analysis impact of brand dimensions on service quality and customers satisfaction in new enterprises of Iran. Contemporary Marketing Review, 1(6), 01-13.
Taylor, C. W., and Hunsinger, D. S. (2011). A study of student use of cloud computing applications.Journal of Information Technology Management XXII, (3), 36-50.
Teo, T. (2009). Evaluating the intention to use technology among student teachers: A structural equation modeling approach. International Journal of Technology in Teaching and Learning, 5(2), 106-118.
Teo, T., Luan, W. S., and Sing, C. C. (2008). A cross-cultural examination of the intention to use technology between Singaporean and Malaysian pre-service teachers: An application of the Technology Acceptance Model (TAM). Educational Technology dan Society, 11(4), 265-280.
Thomas, J. R., Nelson, J. K., and Silverman, S. J. (2010). Research Methods in Physical Activity, 6thed. United States of America: Human Kinetics.
Tullis, T., & Albert, W. (2010). Measuring the User Experience: Collection, Analyzing, and PresentingUsability Metrics. Burlington: Morgan Kauphann Publishers.
Wang, J., & Pho, T. (2009). Drivers of customer intention to use online banking: An empirical study in Vietnam. African Journal of Business Management, 3 (11), 669-667.
Wang, Q., Dacko, S., & Gad, M. (2008). Factors influencing consumers' evaluation and adoption intention of really-new products or services: Prior knowledge, innovativeness and timing of product evaluation. Advance in Consumer Research, 35, 416-522.
Wangpipatwong, S., Chutimaskul, W., & Papasratorn, B. (2008). Understanding citizen's continuance intention to use e-government website: Acomposite view of technology acceptance model and computer self-efficacy. The Electronic Journal of E-Government, 6(1), 55-64.
Wong, C. H., Lee, H. S., Lim, Y. H., Chua, B. H., Chai, B. B. H., & Tan, G. W. H. (2012). Predicting the consumers' intention to adopt mobile shopping: An emerging market perspective. International Journal of Network and Mobile Technologies, 3(3), 24 – 39.
Wood, M. J., & Ross-Kerr, J. C. (2010). Basic Steps IN Planning Nursing Research From Question to Proposal, 7thed. Canada: Jones and Barlett Publisher.
Wu, J., & Wang, S. (2005). What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Journal of Information & Management, 42, 719 – 729.
Yousafzai, S., & yani-de-Soriano, M. (2012). Understanding customer-specific factors underpinning internet banking adoption. International Journal of Bank Marketing, 30(1), 60 – 81.
Zarmpou, T., Saprikis, V., & Vlachopoulou, M. (2010). Investigating the influential factors towards mobile services adoption in Greece. Information assurance and Security Letters, 1, 072 – 079.
Zhang, P. (2011). What consumers think, feel, and do toward digital ads: a multi-phase study. Proceedings of the Eropean Conference on Information Systems (ECIS), Helsinki, Findland.
Zeithaml, V.A. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. Journal of Marketing, 52 (3), 2-11.
Zikmund, W. G., & Babin, B. J. (2010). Essentials of Marketing, 4thed. United States of America: South-Western Cengage Learning.

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Submitted

2015-07-07

Accepted

2015-08-28

Published

2015-10-09

How to Cite

Gunadi, A. P., & Sihombing, S. O. (2015). Prediksi Penggunaan Aktual E-Toll Card dengan Pendekatan Persamaan Model Struktural. Jurnal Manajemen Teknologi, 14(2), 151–172. https://doi.org/10.12695/jmt.2015.14.2.3

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