Technology Acceptance Model (TAM) for Evaluating Acceptance Pega Application at PT. Sinar Mas Insurance Policy Services Division

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Keywords: Perceived Ease to Use, Perceived Usefulness, Technology Acceptance

Abstract

This study describes and predicts how users accept the implemented technology. This research uses a qualitative method approach. Data collection was carried out by interviewing three employees of the Policy Services Division of PT Asuransi Sinar Mas. Researchers researched in March 2020. The data obtained were then processed through data reduction, data presentation, and description conclusions. The results showed that employees in the company could accept technology because they perceive ease of use and usability. The emergence of a positive attitude towards the use of technology impacts the high interest in technology use behavior to increase the actual use of technology. The positive attitude of users towards technology is indicated by the satisfaction of using technology from employees. Researchers can measure technology acceptance based on perceived ease of use, perceived usefulness, attitudes of using technology, interest in behavior using technology, and actual behavior using technology. It is necessary to improve the actual conduct of employees using technology that can improve company performance.

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References

M. Mormina, "Science, Technology, and Innovation as Social Goods for Development: Rethinking Research Capacity Building from Sen's Capabilities Approach," Sci Eng Ethics, vol. 25, no. 15, pp. 671–692, 2019.

O. G. Ciobanu and D. M. Neamtu, "The impact and importance of new technologies in business development in the context of economic diversity," Proc. Int. Conf. Bus. Excell., vol. 11, no. 1, 2017.

D. Kurniawati, “Pemanfaatan Teknologi Informasi dan Komunikasi Oleh Perangkat DesaGandulan Kecamatan Kaloran Kabupaten Temanggung,” Yogyakarta State University, 2017.

H. Taherdoost, “A review of technology acceptance and adoption models and theories,” Procedia Manuf., vol. 22, 2018.

H. Nadri, B. Rahimi, A. H. Lotfnezhad, M. Samadbeik, and A. Garavand, “Factors Affecting Acceptance of Hospital Information Systems Based on Extended Technology Acceptance Model: A Case Study in Three Paraclinical Departments,” Appl Clin Inf., vol. 9, no. 2, pp. 238–247, 2018.

H. Chen, W. Rong, X. Ma, Y. Qu, and Z. Xiong, “An Extended Technology Acceptance Model for Mobile Social Gaming Service Popularity Analysis,” Mob. Inf. Syst., vol. 2017, 2017.

E. B. Diop, S. Zhao, and T. V. Duy, “An extension of the technology acceptance model for understanding travelers’ adoption of variable message signs,” PLoS One, 2019.

H. Taherdoost, “Importance of Technology Acceptance Assessment for Successful Implementation and Development of New Technologies,” Glob. J. Eng. Sci., vol. 1, no. 3, 2019.

R. Palpialy and R. Tanone, “Perancangan Alternatif Penawaran Plan Small Medium Enterprise Menggunakan Pegasystems 7 (Studi Kasus : PT. Asuransi Sinarmas),” J. Tek. Inform. dan Sist. Inf., vol. 4, no. 2, pp. 224–241, 2018.

P. Lohchab, M. A. K. Sharma, and D. Y. Singh, “Pega System as a Business Process Management Tool,” Int. J. Eng. Res. Technol. ICADEMS, vol. 5, no. 3, 2017.

C. Bradshaw, S. Atkinson, and O. Doody, “Employing a Qualitative Description Approach in Health Care Research,” Glob. Qual. Nurs. Res., 2017.

G. A. Haris and E. Mardiati, “The Influence Of Technology Acceptance Model (TAM) Towards Customer Satisfaction Of Zahir Accounting Application,” Int. J. Humanit. Relig. Soc. Sci., vol. 3, no. 9, 2019.

J. D. Portz and E. Al., “Using the Technology Acceptance Model to Explore User Experience, Intent to Use, and Use Behavior of a Patient Portal Among Older Adults With Multiple Chronic Conditions: Descriptive Qualitative Study,” JMIR Publ., vol. 21, no. 4, 2019.

N. Gordon and M. C. Hornbrook, “Differences in access to and preferences for using patient portals and other eHealth technologies based on race, ethnicity, and age: a database and survey study of seniors in a large health plan,” J Med Internet Res, vol. 18, no. 3, 2016.

C. J. Sieck and E. Al., “The rules of engagement: perspectives on secure messaging from experienced ambulatory patient portal users,” JMIR Med Inf., vol. 5, no. 3, 2017.

A. D. Beldad and S. M. Hegner, “Expanding the Technology Acceptance Model with the Inclusion of Trust, Social Influence, and Health Valuation to Determine the Predictors of German Users’ Willingness to Continue using a Fitness App: A Structural Equation Modeling Approach,” Int. J. Human-Computer Interact., vol. 34, no. 9, pp. 882–893, 2018.

D. Z. Dumpit and C. J. Fernandez, “Analysis of the use of social media in Higher Education Institutions (HEIs) using the Technology Acceptance Model,” Int. J. Educ. Technol. High. Educ., vol. 14, no. 5, 2017.

J. Cho, “The impact of post-adoption beliefs on the continued use of health apps,” Int. J. Med. Inform., vol. 87, pp. 75–83, 2016.

A. Dhea and A. R. Tanaamah, "Technology acceptance model for evaluating IT of online-based transportation acceptance: a case of GO-JEK in Salatiga," TELKOMNIKA vol. 17, no. 2, 2019.

K. F. Ho and E. Al., “Theoretical integration of user satisfaction and technology acceptance of the nursing process information system,” PLoS One, vol. 14, no. 6, 2019.

P. A. S. Adnyasuari and G. S. Darma, “Technology Acceptance Model and E-Satisfaction in Mobile Banking,” J. Manaj. dan Bisnis, vol. 14, no. 2, 2017.

J. S. Suroso and E. Al., "Evaluation of Knowledge Management System Using Technology Acceptance Model," in Proc. EECSI 2017 19 -21 September, Yogyakarta, Indonesia, 2017.

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Published
2021-02-01
How to Cite
[1]
G. A. Dessilomba and A. R. Tanaamah, “Technology Acceptance Model (TAM) for Evaluating Acceptance Pega Application at PT. Sinar Mas Insurance Policy Services Division”, intensif, vol. 5, no. 1, pp. 134-147, Feb. 2021.