Penerimaan Teknologi Web Check-In pada Pengguna Transportasi Udara di Kalimantan Barat

Irawan Wingdes

Abstract


Teknologi check-in mandiri berbasis teknologi terutama dari web atau mobile telah tersedia sejak beberapa tahun lalu. Namun, penerimaan teknologi ini khususnya untuk pengguna di Kalbar, masih sangat rendah. Pada responden penelitian ini, hanya 7 persen responden yang pernah menggunakan fasilitas check-in tersebut. Oleh karena itu, penelitian ini bertujuan untuk menjelaskan faktor-faktor yang mempengaruhi penerimaan teknologi web check-in. Model TAM digunakan dengan menambahkan variabel trust dan risk. Data dianalisis dengan structural
equation modeling. Hasil menunjukkan bahwa model fit dengan chi2 yang tidak signifikan dan indikator goodness of fit yang baik. Persepsi kegunaan (nilai korelasi 0,41), dan persepsi resiko (0,37) adalah variabel yang paling mempengaruhi niat untuk menggunakan web check-in, setelah itu diikuti oleh variabel kemudahan pemakaian (0,33) dan kepercayaan (0,32). Kontribusi penelitian bagi maskapai penyedia layanan adalah komunikasi merupakan kunci utama untuk meningkatkan penerimaan teknologi web check-in. Dengan penerimaan teknologi yang tinggi diharapkan efisiensi yang ditawarkan oleh teknologi ini juga dapat dimanfaatkan sepenuhnya, baik untuk layanan saat ini maupun untuk layanan di masa depan.

Technology based self check-in service (web or mobile based) has been made available for some time. For passengers in West Borneo, acceptance for this technology is low, particularly participants in this research. There are only 7% of passengers in this research who use this technology; hence, the purpose of this study is to explain factors affecting acceptance of web check-in service. Two variables are added (trust and risk) to the original TAM model and structural equation modeling is employed for analysis. Structural model is fit with insignificant chi2 and good results are achieved in goodness of fit indicators. Results show perceived usefulness (0,41 correlation) and risk (0,37) to be the main contributing factors to explain acceptance of web check-in, followed by perceived ease of use (0,33) and trust (0,32). This research further
contributes to air transport providers. Findings in this research suggest communication is the key aspect for air transport providers to increase technology acceptance. Increased technology acceptance will also increase benefits from what technology can offer today or in the future.


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References


Pangerapan, S. A., 2015, Siaran Pers (press release) Asosiasi Penyelenggara Jasa Internet Indonesia (APJII), http://www.apjii.or.id/v2/read/content/info-terkini/301/penggunainternet-

indonesia-tahun-2014-sebanyak-88.html, diakses 27 Maret 2015.

Kucukusta, D., Law, R., Besbes, A., Legohérel, P., 2015, Re-examining perceived usefulness and ease of use in online booking -- the case of hongkong online user, International Journal of Contemporary Hospitality Management, No. 2, Vol. 27, Hal. 185-198.

Lu, J. L., Chou, H. Y., Ling P. C., 2009, Investigating passengers' intention to use technologybased self check-in services, Transportation Research Part E, No. 2, Vol 45, hal 345-356.

Peterson, K., 2006, Self-service top ten. Airport Business, http://www.aviationpros.com/article/10382775/self-service-top-ten, diakses 30 Maret 2015.

Rodriguez, T. E., Trujillo E. C., 2014, Online purchasing tickets for low cost carriers: An application of unified theory of acceptance and use of technology (UTAUT) model, Tourism Management, Vol 43, Hal 70-88.

Rahayu, R. N., 2015, Ratusan Calon Penumpang Lion Air Ngamuk di Soekarno-Hatta, okezone.com, http://news.okezone.com/read/2015/02/19/338/1107966/ratusan calonpenumpang- lion-air-ngamuk-di-soekarno-hatta, diakses 27 Maret 2015.

Herin, F.P., 2014, Garuda Tunda Lagi Jadwal Keberangkatan, Penumpang Marah, kompas.com,http://regional.kompas.com/read/2014/12/02/09224801/Garuda.Tunda.Lagi.Jadwal.Keberangkatan.Penumpang.Marah, diakses 28 Maret 2015.

Foni, Y., 2014, Pesawat Terlambat Dua Jam, Penumpang Sriwijaya Maki Petugas,metrotvnews.com, http://news.metrotvnews.com/read/2014/12/31/338818/pesawatterlambat-dua-jam-penumpang-sriwijaya-maki-petugas, diakses 29 Maret 2015.

Nysveen, H., Pedersen. P., Thorbjornsen, H., 2005, Explaining intention to use mobile chat services: moderating effects of gender, Journal of Consumer Marketing, No. 5, Vol. 22, Hal. 247-256.

Fishbein, M. dan Ajzen, I., 1975, Belief, Attitude, Intention and Behavior: An introduction to Theory and Research, Addison-Wesley Reading.

Davis, F. D., 1989, Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quaterly, No 3, Vol 13, Hal. 319-340.

Venkatesh, V., Davis, F., 2000, A theoretical extension of the technology acceptance model: four longitudinal field studies, Management Science, No 2, Vol. 46, hal 186-204.

Marangunic, N., Granic, A., 2014, Technology acceptance model: a literature review from 1986 to 2013, Universal Access in the Information Society, No. 1, Vol 14, hal 81-95.

Pavlou, P. A., 2003, Consumer acceptance of electronic commerce: integrating trust and risk with the technology acceptance model, International Journal of Electronic Commerce, No 3, Vol 7, Hal 69-103.

Lee, C. B. P., Wan, G., 2010, Including subjective norm and technology trust in the technology acceptance model: a case of e-ticketing in china, The Database for advances in information systems, No. 4 Vol. 4, Hal 40-51.

Gefen, D., 2000, E-commerce: The role of familiarity and trust, Omega: The international journal of management science, No. 6, Vol. 28, Hal 725-737.

Hoffman, D. L., Novak, T.P., Peralta, M., 1999, Building consumer trust online, Communications of the ACM, No. 4, Vol 42, Hal 80-85.

Im, I., Kim, Y., Han, H. J., 2008, The effects of perceived risk and technology type on users' acceptance of technologies, Information and Management, No. 1, Vol 45, Hal 1-9.

Ajzen, I., 1985, From intentions to actions: a theory of planned behavior, Action Control: From Cognition to Behavior, Springer Verlag.

Ghozali, I., Fuad, 2014, Structural equation Modelling, teori konsep dan aplikasi dengan program lisrel 9.1 edisi 4, Badan Penerbit Universitas Diponegoro.

Joreskoq, K. G., 2002, Structural Equation Modelling with ordinal variables using lisrel, Scientific Software International.

Morosan, C., 2014, Toward an integrated model of adoption of mobile phones for purchasing ancillary services in air travel, International journal of contemporary hospitality management, No. 2, Vol 26, Hal 216-271.

Gefen, D., Karahanna, E., Straub, D. W., 2003, Trust and TAM in online shopping: an integrated model, MIS Quaterly, No. 1, Vol 27, Hal 51-90.

Davis, F., Bagozzi, R. P., Warshaw, P. R., 1989, User Acceptance of computer technology: a comparison of two theoretical models, Management Science, Vol 35, No 8, hal 982-1003.

Edward, C. S., Ku, Chen, C. D., 2013, Fitting facilities to self service technology usage: evidence from kiosks in Taiwan airport, Journal of Air Transport Management, Vol 32, Hal 87-94.


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