READING APP REVIEWS AND TRYING APPS IN PREDICTING THE USE OF COMMUNICATION APPS: AN EXPERIMENTAL STUDY OF THE RELATIONSHIP AMONG BEHAVIOR, ATTITUDE AND INTENTION TO USE
Keywords:
communication apps, smartphone, attitude, intention to use, experimentAbstract
This study examines the relationship among reading app reviews, trying apps, attitude and intention to use the communication apps. Attitude towards apps and intention to use apps change as a result of app reviews and trials. An experiment was conducted in a rural area testing twelve communication apps with 80 participants who were not communication app users. The relationship of the variables was analyzed using statistical regression. This study found that treatments do not affect attitude or intention to use. Meanwhile, significantly, attitude can moderately predict intention to use. Intention to use communication apps was not related to app reviews and trials but related to participants' attitudes. The findings suggest that this experiment did not use an appropriate method to confirm theoretical modelling of the TAM, TRA and TPB. Future research involving other variables (perceived usefulness, perceived ease of use etc.) is needed to reveal comprehensive modelling to predict the intention to use.
Penelitian ini mengkaji hubungan membaca review aplikasi, mencoba aplikasi, sikap, dan niat menggunakan aplikasi komunikasi. Sikap terhadap aplikasi dan niat menggunakan aplikasi berubah sebagai hasil dari review dan mencoba aplikasi. Eksperimen dilakukan di wilayah perdesaan untuk menguji dua belas aplikasi komunikasi dengan 80 partisipan yang bukan pengguna aplikasi komunikasi. Hubungan antarvariabel dianalisis menggunakan regresi statistik. Dari penelitian ini ditemukan perlakuan pada eksperimen tidak memengaruhi sikap maupun niat menggunakan aplikasi. Namun, sikap dapat memprediksi niat menggunakan aplikasi pada level moderat. Niat menggunakan aplikasi komunikasi tidak terhubung dengan review dan mencoba aplikasi tetapi terhubung dengan sikap partisipan. Hasil temuan menunjukkan eksperimen ini tidak cocok untuk mengonfrmasi model teori TAM, TRA, dan TPB. Penelitian selanjutnya yang melibatkan variabel lain (perceived usefulness, perceived ease of use, dsb) diperlukan untuk membuat model komprehensif yang dapat memprediksi niat menggunakan aplikasi.
References
Aditya, R., & Wardhana, A. (2016). Pengaruh perceived usefulness dan perceived ease of use terhadap behavioral intention dengan pendekatan Technology Acceptance Model (TAM) pada pengguna Instant Messaging LINE di Indonesia. Jurnal Siasat Bisnis, 20(1), 24-32. https://doi.org/10.20885/jsb.vol20.iss1.art3
Ajzen, I. (1991). The theory of planned behavior. Orgnizational Behavior and Human Decision Processes, 50, 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
Bagozzi, R. P., Davis, F., & Warshaw, P. R. (1992). Development and Test of a Theory of Technological Learning and Usage. Human Relations, 45(7), 659-686. https://doi.org/10.1177/001872679204500702
Beavers, A. S., Lounsbury, J. W., Richards, J. K., Huck, S. W., Skolits, G. J., & Esquivel, S. L. (2013). Practical Considerations for Using Exploratory Factor Analysis in Educational Research. Practical Assessment, Research & Evaluation, 18(6). Retrieved from http://pareonline.net/pdf/v18n6.pdf
Bracht, G. H., & Glass, G. V. (1968). The External Validity of Experiments. American Educational Research Journal, 5(4), 437. https://doi.org/10.2307/1161993
Burton-Jones, A., & Hubona, G. S. (2006). The mediation of external variables in the technology acceptance model. Information & Management, 43(6), 706-717. https://doi.org/10.1016/j.im.2006.03.007
Churchill, G. A., & Jr. (1979). A Paradigm for Developing Better Measures of Marketing Constructs. Journal of Marketing Research, 16(1), 64. https://doi.org/10.2307/3150876
Compeau, D. R., & Higgins, C. A. (1995). Computer Self-Efficacy: Development of a Measure and Initial Test. MIS Quarterly, 19(2), 189. https://doi.org/10.2307/249688
Conrad, E. D. (2013). Willingness to use strategic IT innovations at the individual level: an empirical study synthesizing DOI and TAM theories. Academy of Information and Management Sciences Journal, 16(1), 99-110.
Conrad, E. D., Michalisin, M. D., & Karau, S. J. (2012). Measuring pre-adoptive behaviors toward individual willingness to use IT innovations. Journal of Strategic Innovation and Sustainability, 8(1), 81-92.
Cook, T. D., & Campbell, D. T. (Donald T. (1979). Quasi-experimentation"i: design & analysis issues for field settings. Houghton Mifflin. Retrieved from https://books.google.co.id/books/about/Quasi_experimentation.html?id=BFNqAAAAMAAJ&redir_esc=y
Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results. Management, Ph.D.(April), 291. https://doi.org/oclc/56932490
Ericsson. (2016). Ericsson Mobility Report:On the pulse of the networked society. Retrieved from https://www.ericsson.com/assets/local/mobility-report/documents/2015/ericsson-mobility-report-june-2015.pdf
Ernungtyas, N. F., & Irwansyah. (2016). Review pengguna pada proses penerimaan aplikasi mobile. In Prosiding Konferensi Nasional Komunikasi 2016 (pp. 136-145). Prosiding Konferensi Nasional Komunikasi 2016. Retrieved from http://lib.ui.ac.id/detail.jsp?id=20452447&lokasi=lokal#horizontalTab2
Evans, J. S. B. T., & Over, D. E. (1996). Rationality and reasoning. Psychology Press. Retrieved from https://books.google.co.id/books/about/Rationality_and_Reasoning.html?id=nml1dP97fTAC&redir_esc=y
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior"i: an introduction to theory and research. Addison-Wesley Pub. Co.
Hassan, M., Kouser, R., Abbas, S. S., & Azeem, M. (2014). Consumer Attitudes and Intentions to Adopt Smartphone Apps: Case of Business Students. Pak J Commer Soc Sci Pakistan Journal of Commerce and Social Sciences, 8(3), 763-779. https://doi.org/10.1108/02635570710734262
Hennig, N. (2014). Evaluating Apps. Library Technology Reports, 50(8), 15-18.
Hester, A. J. (2011). A comparative analysis of the usage and infusion of wiki and non-wiki-based knowledge management systems. Information Technology and Management, 12(4), 335-355. https://doi.org/10.1007/s10799-010-0079-9
Hinton, P., Brownlow, C., & McMurray, I. (2004). SPSS Explained. Taylor & Francis. Retrieved from https://books.google.co.id/books?id=muItdYQL3ckC
Iacob, C., & Harrison, R. (2013). Retrieving and Analyzing Mobile Apps Feature Requests from Online Reviews. In Proceedings of the 10th Working Conference on Mining Software Repositories (pp. 41-44). Piscataway, NJ, USA: IEEE Press. Retrieved from http://dl.acm.org/citation.cfm?id=2487085.2487094
Kayisoglu, N. B. (2015). Validity and reliability studies for scale of evaluating physical education teachers based on student ratings (SEPETBSR). Journal of Physical Education and Sport Management , 6(8), 60-69. https://doi.org/10.5897/JPESM2015.0238
Rogers, E. M. (2003). Diffusion of innovations. Free Press. Retrieved from https://books.google.co.id/books/about/Diffusion_of_Innovations_5th_Edition.html?id=9U1K5LjUOwEC&redir_esc=y
Scholin, S. E., & Burns, M. K. (2012). Relationship between pre-intervention data and post-intervention reading fluency and growth: A meta-analysis of assessment data for individual students. Psychology in the Schools, 49(4), 385-398. https://doi.org/10.1002/pits.21599
Shin, D. (2012). Cross" analysis of usability and aesthetic in smart devices: what influences users' preferences? Cross Cultural Management: An International Journal, 19(4), 563-587. https://doi.org/10.1108/13527601211270020
Sniehotta, F. (2009). An Experimental Test of the Theory of Planned Behavior. Applied Psychology: Health and Well-Being, 1(2), 257-270. https://doi.org/10.1111/j.1758-0854.2009.01013.x
Sniehotta, F. F., Presseau, J., & Araujo-Soares, V. (2014). Time to retire the theory of planned behaviour. Health Psychology Review, 8(1), 1-7. https://doi.org/10.1080/17437199.2013.869710
Song, C., Park, K., & Kim, B. (2013). Impact of Online Reviews on Mobile App Sales: Open Versus Closed Platform Comparison. Pacific Asia Conference on Information Systems Proceedings, 1-11. Retrieved from http://aisel.aisnet.org/pacis2013/12/
Tompkins, C. A. (1993). Using and Interpreting Linear Regression and Correlation Analyses: Some Cautions and Considerations. In Clinical Aphasiology Paper (pp. 35-46). Destin, FL: Pro-Ed. Retrieved from http://aphasiology.pitt.edu/1435/
Triberti, S., Villani, D., & Riva, G. (2016). Unconscious goal pursuit primes attitudes towards technology usage: A virtual reality experiment. Computers in Human Behavior, 64, 163-172. https://doi.org/10.1016/j.chb.2016.06.044
Vaske, J. J., Beaman, J., & Sponarski, C. C. (2017). Rethinking Internal Consistency in Cronbach's Alpha. Leisure Sciences, 39(2), 163-173. https://doi.org/10.1080/01490400.2015.1127189
Yang, H. C. (2013). Bon Appetit for Apps: Young American Consumers' Acceptance of Mobile Applications. Journal of Computer Information Systems, 53(3), 85-95. https://doi.org/10.1080/08874417.2013.11645635
Yousafzai, S. Y., Foxall, G. R., & Pallister, J. G. (2007). Technology acceptance: a meta" analysis of the TAM: Part 2. Journal of Modelling in Management, 2(3), 281-304. https://doi.org/10.1108/17465660710834462