Analyzing Cyclops Application Acceptance in Telkomsel Pamasuka using IDT and TAM

https://doi.org/10.35912/jbpd.v3i1.4498
Published: Jul 5, 2023

Abstract:

Purpose: In this thesis, we will examine how much employee acceptance in the Pa Masuka Area, especially “Network” and “Sales', which totals around 522 people to the CYCLOPS application using the Innovation Diffusion Theory (IDT) and Technology Acceptance Model (TAM) methods, then an online survey is conducted.

Research Methodology: Data analysis was performed using a Structural Equation Modeling (SEM) model.

Results: Digitization of processes at Telkomsel continues to be carried out to increase the effectiveness of employee work, including in the Pausuka Area, especially in the Area Network Operations Sub-Directorate of Pausuka which is responsible for 18,000 sites serving 30 million customers based on April 2023 data.CYCLOPS is a supporting application for digitizing processes that makes it easier for employees, especially the "Network" and "Sales" sections, to observe network conditions (Live Monitoring), find out the potential for network development, make improvements that are right on target according to set priorities to carry out network quality tests.

Conclusions: This study concludes that the combined use of Innovation Diffusion Theory (IDT) and the Technology Acceptance Model (TAM) effectively explains the factors influencing the acceptance of the Cyclops in-house application by Telkomsel employees in the Pamasuka area. Unlike consumer technologies like smartwatches or 5G, which require user observation before adoption, in-house applications like Cyclops are often used directly due to internal work demands.

Limitations: This research is limited to Telkomsel employees in the Pamasuka area and focuses only on the Cyclops application within sales and network divisions. Future studies can expand to other regions, different departments, or compare multiple in-house applications

Contributions: The findings provide valuable insights for companies developing internal applications. To improve adoption, developers should enhance technical features and conduct regular outreach to inform employees about the application's functions and benefits. This could turn observability into a strength, helping employees better understand and utilize internal tools like Cyclops, ultimately increasing productivity and application value.

Keywords:
1. CYCLOPS
2. IDT
3. TAM
4. SEM
Authors:
1 . Muhammad Idham Kadir
2 . Dodie Tricahyono
View PDF
How to Cite
Kadir, M. I. ., & Tricahyono, D. . (2023). Analyzing Cyclops Application Acceptance in Telkomsel Pamasuka using IDT and TAM . Jurnal Bisnis Dan Pemasaran Digital, 3(1), 21–40. https://doi.org/10.35912/jbpd.v3i1.4498
Download Citation
  1. Endnote/Zotero/Mendeley (RIS)
  2. BibTeX

Downloads

Download data is not yet available.
Issue & Section
Vol. 3 No. 1 (2023): Juli
Articles
Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

References

    Agung, D. A., & Widyarini, L. A. (2021). Multi-Group Analysis Innovation Diffusion dan Technology Acceptance Factors Terhadap Niat Mengadopsi Wearable Technology dengan Gender Sebagai Moderator. INOBIS: Jurnal Inovasi Bisnis dan Manajemen Indonesia, 4(2), 189-204. doi:https://doi.org/10.31842/jurnalinobis.v4i2.177

    Andi, K., Kusumanto, R., & Yusi, S. (2023). IoT Monitoring for PV System Optimization in Hospital Environment Application. Journal of Multidisciplinary Academic and Practice Studies, 1(4), 369-376. doi:https://doi.org/10.35912/jomaps.v1i4.1792

    Budiastuti, A. D. P., & Muid, D. (2020). Analisis Faktor-Faktor Pengaruh Minat Penggunaan Sistem Informasi Akuntansi Berbasis E-Commerce pada Aplikasi Shopee dengan Menggunakan Technology Acceptance Model (TAM). Diponegoro Journal of Accounting, 9(4), 1-10.

    Choe, M.-J., & Noh, G.-Y. (2018). Combined Model of Technology Acceptance and Innovation Diffusion Theory for Adoption of Smartwatch. International Journal of contents, 14(3), 32-38. doi:https://doi.org/10.5392/IJoC.2018.14.3.032

    Compernolle, M. V., Buyle, R., Mannens, E., Vanlishout, Z., Vlassenroot, E., & Mechant, P. (2018). "Technology Readiness and Acceptance Model" as a Predictor for the Use Intention of Data Standards in Smart Cities. Media and Communication, 6(4), 127-139. doi:https://doi.org/10.17645/mac.v6i4.1679

    Fitriyani, R., & Syamsuar, D. (2022). Integrasi TAM dan IDT untuk Mengetahui Persepsi Penerimaan Video Conference dalam Proses Pembelajaran. Jurnal Tekno Kompak, 16(1), 69-82. doi:https://doi.org/10.33365/jtk.v16i1.1353

    Giovanis, A. N., Binioris, S., & Polychronopoulos, G. (2012). An Extension of TAM Model with IDT and Security/Privacy Risk in the Adoption of Internet Banking Services in Greece. EuroMed Journal of Business, 7(1), 24-53. doi:https://doi.org/10.1108/14502191211225365

    Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to Use and How to Report the Results of PLS-SEM. European Business Review, 31(1), 2-24. doi:https://doi.org/10.1108/EBR-11-2018-0203

    Hanham, J., Lee, C. B., & Teo, T. (2021). The Influence of Technology Acceptance, Academic Self-Efficacy, and Gender on Academic Achievement Through Online Tutoring. Computers & Education, 172, 1-14. doi:https://doi.org/10.1016/j.compedu.2021.104252

    Hibur, G. N., Fanggidae, R. P., Kurniawati, M., & Benu, Y. R. (2020). Pengaruh Technology Acceptance Model (TAM) Terhadap Minat Beli di Marketplace Facebook (Studi pada Generasi Milenial di Kota Kupang). Glory: Jurnal Ekonomi & Ilmu Sosial, 12(2), 169-187. doi:https://doi.org/10.35508/glory.v3i3.9559

    Hubert, M., Blut, M., Brock, C., Zhang, R. W., Koch, V., & Riedl, R. (2019). The Influence of Acceptance and Adoption Drivers on Smart Home Usage. European Journal of Marketing, 53(6), 1073-1098. doi:https://doi.org/10.1108/EJM-12-2016-0794

    Moore, G. C., & Benbasat, I. (1991). Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Information Systems Research, 2(3), 192-222. doi:https://doi.org/10.1287/isre.2.3.192

    Priyambada, B., Kusyanti, A., & Herlambang, A. D. (2018). Analisis Penerimaan SIDJP Menggunakan Technology Acceptance Model (TAM) pada KPP Pratama Mojokerto. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, 2(3), 1036-1044.

    Rogers, E. M., Singhal, A., & Quinlan, M. M. (2014). Diffusion of Innovations. In D. W. Stacks & M. B. Salwen (Eds.), An Integrated Approach to Communication Theory and Research (pp. 432-448). New York: Routledge.

    Rumengan, J., Syarif, A., Rumengan, A. E., & Rumengan Chablullah Wibisono, M. (2020). The Effect Work Autonomy, Feedback, Responsibility, and Work Knowledge on the Work Motivation of Employees at Batam University with Partial Least Square (PLS). Talent Development & Excellence, 12(1), 1647-1655.

    Salloum, S. A., Alhamad, A. Q. M., Al-Emran, M., Monem, A. A., & Shaalan, K. (2019). Exploring Students’ Acceptance of E-Learning Through the Development of a Comprehensive Technology Acceptance Model. IEEE Access, 7, 128445-128462. doi:https://doi.org/10.1109/ACCESS.2019.2939467

    Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021). Partial Least Squares Structural Equation Modeling. In C. Homburg, M. Klarmann, & A. Vomberg (Eds.), Handbook of Market Research (pp. 587-632). New York: Springer.

    Setiawan, W. B., & Tricahyono, D. (2019). Optimization Strategy of Mobile Cellular Network based on Customer Smartphone Penetration. Proceedings of the 2nd International Conference on Inclusive Business in the Changing World, 1, 498-505. doi:https://doi.org/10.5220/0008432904980505

    Suharto, M., Angkupi, P., Dacholfany, I., & Susminingsih, M. H. (2021). The Effect of Trust Commitments on Organization: Empirical Insights into Managerial Performance. Journal of Hunan University Natural Sciences, 48(12), 299-305.

    Suharto, S. (2023). Supply Chain Ambidexterity, Business Performance and Mediating Role of Lean and Agile Supply Chain Strategies. Uncertain Supply Chain Management, 11(2), 557-564. doi:https://doi.org/10.5267/j.uscm.2023.2.009

    Sulistiobudi, R. A., Merizka, S., Syawie, M. Z., & Paramitha, S. P. (2023). Comparing the Online Video Review and Written Review on Increasing Intention to Purchase. Journal of Digital Business and Marketing, 1(1), 1-12. doi:https://doi.org/10.35912/jdbm.v1i1.1716

    Syahruddin, Yaakob, M. F. M., Rasyad, A., Widodo, A. W., Sukendro, Suwardi, . . . Razali. (2021). Students’ Acceptance to Distance Learning During Covid-19: The Role of Geographical Areas Among Indonesian Sports Science Students. Heliyon, 7(9), 1-9. doi:https://doi.org/10.1016/j.heliyon.2021.e08043

    Syarif, A., & Riza, K. (2022). Pengaruh Kepemimpinan Transformasional, Disiplin Kerja dan Komunikasi Terhadap Kinerja Pegawai pada Dinas Pendidikan Kepulauan Riau. Jurnal Humaniora dan Ilmu Pendidikan, 2(1), 33-41. doi:https://doi.org/10.35912/jahidik.v2i1.1664

    Syarif, A., Rumengan, J., & Gunawan, D. (2021). The Influence of Locus of Control, Self Efficacy and Discipline of Work, Job Satisfaction on Work Motivation in the Hj Bunda Halimah Hospital Batam. IAIC International Conference Series, 3(2), 42-50. doi:https://doi.org/10.34306/conferenceseries.v3i2.461

    Telkomsel. (2021). Annual Report Telkomsel 2020. Jakarta: Telkomsel.

    Tran, T. C. T., & Cheng, M. S. (2017). Adding Innovation Diffusion Theory to Technology Acceptance Model: Understanding Consumers' Intention to Use Biofuels in Vietnam. International Review of Management and Business Research, 6(2), 595-609.

    Tung, F.-C., Chang, S.-C., & Chou, C.-M. (2008). An Extension of Trust and TAM Model with IDT in the Adoption of the Electronic Logistics Information System in HIS in the Medical Industry. International Journal of Medical Informatics, 77(5), 324-335. doi:https://doi.org/10.1016/j.ijmedinf.2007.06.006

    Venkatesh, V., & Davis, F. D. (1996). A Model of the Antecedents of Perceived Ease of Use: Development and Test. Decision Sciences, 27(3), 451-481. doi:https://doi.org/10.1111/j.1540-5915.1996.tb00860.x

    Wu, J.-H., Wang, S.-C., & Lin, L.-M. (2007). Mobile Computing Acceptance Factors in the Healthcare Industry: A Structural Equation Model. International Journal of Medical Informatics, 76(1), 66-77. doi:https://doi.org/10.1016/j.ijmedinf.2006.06.006

    Zabartih, M. I., & Widhiarso, W. (2023). Information Technology Strategic Plan for Hospital using Ward and Peppard Model. Journal of Multidisciplinary Academic and Practice Studies, 1(4), 353-367. doi:https://doi.org/10.35912/jomaps.v1i4.1791

    Zarafshani, K., Solaymani, A., D’Itri, M., Helms, M. M., & Sanjabi, S. (2020). Evaluating Technology Acceptance in Agricultural Education in Iran: A Study of Vocational Agriculture Teachers. Social Sciences & Humanities Open, 2(1). doi:https://doi.org/10.1016/j.ssaho.2020.100041

    Zhang, N., Guo, X., & Chen, G. (2008). IDT-TAM Integrated Model for IT Adoption. Tsinghua Science and Technology, 13(3), 306-311. doi:https://doi.org/10.1016/S1007-0214(08)70049-X

  1. Agung, D. A., & Widyarini, L. A. (2021). Multi-Group Analysis Innovation Diffusion dan Technology Acceptance Factors Terhadap Niat Mengadopsi Wearable Technology dengan Gender Sebagai Moderator. INOBIS: Jurnal Inovasi Bisnis dan Manajemen Indonesia, 4(2), 189-204. doi:https://doi.org/10.31842/jurnalinobis.v4i2.177
  2. Andi, K., Kusumanto, R., & Yusi, S. (2023). IoT Monitoring for PV System Optimization in Hospital Environment Application. Journal of Multidisciplinary Academic and Practice Studies, 1(4), 369-376. doi:https://doi.org/10.35912/jomaps.v1i4.1792
  3. Budiastuti, A. D. P., & Muid, D. (2020). Analisis Faktor-Faktor Pengaruh Minat Penggunaan Sistem Informasi Akuntansi Berbasis E-Commerce pada Aplikasi Shopee dengan Menggunakan Technology Acceptance Model (TAM). Diponegoro Journal of Accounting, 9(4), 1-10.
  4. Choe, M.-J., & Noh, G.-Y. (2018). Combined Model of Technology Acceptance and Innovation Diffusion Theory for Adoption of Smartwatch. International Journal of contents, 14(3), 32-38. doi:https://doi.org/10.5392/IJoC.2018.14.3.032
  5. Compernolle, M. V., Buyle, R., Mannens, E., Vanlishout, Z., Vlassenroot, E., & Mechant, P. (2018). "Technology Readiness and Acceptance Model" as a Predictor for the Use Intention of Data Standards in Smart Cities. Media and Communication, 6(4), 127-139. doi:https://doi.org/10.17645/mac.v6i4.1679
  6. Fitriyani, R., & Syamsuar, D. (2022). Integrasi TAM dan IDT untuk Mengetahui Persepsi Penerimaan Video Conference dalam Proses Pembelajaran. Jurnal Tekno Kompak, 16(1), 69-82. doi:https://doi.org/10.33365/jtk.v16i1.1353
  7. Giovanis, A. N., Binioris, S., & Polychronopoulos, G. (2012). An Extension of TAM Model with IDT and Security/Privacy Risk in the Adoption of Internet Banking Services in Greece. EuroMed Journal of Business, 7(1), 24-53. doi:https://doi.org/10.1108/14502191211225365
  8. Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to Use and How to Report the Results of PLS-SEM. European Business Review, 31(1), 2-24. doi:https://doi.org/10.1108/EBR-11-2018-0203
  9. Hanham, J., Lee, C. B., & Teo, T. (2021). The Influence of Technology Acceptance, Academic Self-Efficacy, and Gender on Academic Achievement Through Online Tutoring. Computers & Education, 172, 1-14. doi:https://doi.org/10.1016/j.compedu.2021.104252
  10. Hibur, G. N., Fanggidae, R. P., Kurniawati, M., & Benu, Y. R. (2020). Pengaruh Technology Acceptance Model (TAM) Terhadap Minat Beli di Marketplace Facebook (Studi pada Generasi Milenial di Kota Kupang). Glory: Jurnal Ekonomi & Ilmu Sosial, 12(2), 169-187. doi:https://doi.org/10.35508/glory.v3i3.9559
  11. Hubert, M., Blut, M., Brock, C., Zhang, R. W., Koch, V., & Riedl, R. (2019). The Influence of Acceptance and Adoption Drivers on Smart Home Usage. European Journal of Marketing, 53(6), 1073-1098. doi:https://doi.org/10.1108/EJM-12-2016-0794
  12. Moore, G. C., & Benbasat, I. (1991). Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Information Systems Research, 2(3), 192-222. doi:https://doi.org/10.1287/isre.2.3.192
  13. Priyambada, B., Kusyanti, A., & Herlambang, A. D. (2018). Analisis Penerimaan SIDJP Menggunakan Technology Acceptance Model (TAM) pada KPP Pratama Mojokerto. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, 2(3), 1036-1044.
  14. Rogers, E. M., Singhal, A., & Quinlan, M. M. (2014). Diffusion of Innovations. In D. W. Stacks & M. B. Salwen (Eds.), An Integrated Approach to Communication Theory and Research (pp. 432-448). New York: Routledge.
  15. Rumengan, J., Syarif, A., Rumengan, A. E., & Rumengan Chablullah Wibisono, M. (2020). The Effect Work Autonomy, Feedback, Responsibility, and Work Knowledge on the Work Motivation of Employees at Batam University with Partial Least Square (PLS). Talent Development & Excellence, 12(1), 1647-1655.
  16. Salloum, S. A., Alhamad, A. Q. M., Al-Emran, M., Monem, A. A., & Shaalan, K. (2019). Exploring Students’ Acceptance of E-Learning Through the Development of a Comprehensive Technology Acceptance Model. IEEE Access, 7, 128445-128462. doi:https://doi.org/10.1109/ACCESS.2019.2939467
  17. Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021). Partial Least Squares Structural Equation Modeling. In C. Homburg, M. Klarmann, & A. Vomberg (Eds.), Handbook of Market Research (pp. 587-632). New York: Springer.
  18. Setiawan, W. B., & Tricahyono, D. (2019). Optimization Strategy of Mobile Cellular Network based on Customer Smartphone Penetration. Proceedings of the 2nd International Conference on Inclusive Business in the Changing World, 1, 498-505. doi:https://doi.org/10.5220/0008432904980505
  19. Suharto, M., Angkupi, P., Dacholfany, I., & Susminingsih, M. H. (2021). The Effect of Trust Commitments on Organization: Empirical Insights into Managerial Performance. Journal of Hunan University Natural Sciences, 48(12), 299-305.
  20. Suharto, S. (2023). Supply Chain Ambidexterity, Business Performance and Mediating Role of Lean and Agile Supply Chain Strategies. Uncertain Supply Chain Management, 11(2), 557-564. doi:https://doi.org/10.5267/j.uscm.2023.2.009
  21. Sulistiobudi, R. A., Merizka, S., Syawie, M. Z., & Paramitha, S. P. (2023). Comparing the Online Video Review and Written Review on Increasing Intention to Purchase. Journal of Digital Business and Marketing, 1(1), 1-12. doi:https://doi.org/10.35912/jdbm.v1i1.1716
  22. Syahruddin, Yaakob, M. F. M., Rasyad, A., Widodo, A. W., Sukendro, Suwardi, . . . Razali. (2021). Students’ Acceptance to Distance Learning During Covid-19: The Role of Geographical Areas Among Indonesian Sports Science Students. Heliyon, 7(9), 1-9. doi:https://doi.org/10.1016/j.heliyon.2021.e08043
  23. Syarif, A., & Riza, K. (2022). Pengaruh Kepemimpinan Transformasional, Disiplin Kerja dan Komunikasi Terhadap Kinerja Pegawai pada Dinas Pendidikan Kepulauan Riau. Jurnal Humaniora dan Ilmu Pendidikan, 2(1), 33-41. doi:https://doi.org/10.35912/jahidik.v2i1.1664
  24. Syarif, A., Rumengan, J., & Gunawan, D. (2021). The Influence of Locus of Control, Self Efficacy and Discipline of Work, Job Satisfaction on Work Motivation in the Hj Bunda Halimah Hospital Batam. IAIC International Conference Series, 3(2), 42-50. doi:https://doi.org/10.34306/conferenceseries.v3i2.461
  25. Telkomsel. (2021). Annual Report Telkomsel 2020. Jakarta: Telkomsel.
  26. Tran, T. C. T., & Cheng, M. S. (2017). Adding Innovation Diffusion Theory to Technology Acceptance Model: Understanding Consumers' Intention to Use Biofuels in Vietnam. International Review of Management and Business Research, 6(2), 595-609.
  27. Tung, F.-C., Chang, S.-C., & Chou, C.-M. (2008). An Extension of Trust and TAM Model with IDT in the Adoption of the Electronic Logistics Information System in HIS in the Medical Industry. International Journal of Medical Informatics, 77(5), 324-335. doi:https://doi.org/10.1016/j.ijmedinf.2007.06.006
  28. Venkatesh, V., & Davis, F. D. (1996). A Model of the Antecedents of Perceived Ease of Use: Development and Test. Decision Sciences, 27(3), 451-481. doi:https://doi.org/10.1111/j.1540-5915.1996.tb00860.x
  29. Wu, J.-H., Wang, S.-C., & Lin, L.-M. (2007). Mobile Computing Acceptance Factors in the Healthcare Industry: A Structural Equation Model. International Journal of Medical Informatics, 76(1), 66-77. doi:https://doi.org/10.1016/j.ijmedinf.2006.06.006
  30. Zabartih, M. I., & Widhiarso, W. (2023). Information Technology Strategic Plan for Hospital using Ward and Peppard Model. Journal of Multidisciplinary Academic and Practice Studies, 1(4), 353-367. doi:https://doi.org/10.35912/jomaps.v1i4.1791
  31. Zarafshani, K., Solaymani, A., D’Itri, M., Helms, M. M., & Sanjabi, S. (2020). Evaluating Technology Acceptance in Agricultural Education in Iran: A Study of Vocational Agriculture Teachers. Social Sciences & Humanities Open, 2(1). doi:https://doi.org/10.1016/j.ssaho.2020.100041
  32. Zhang, N., Guo, X., & Chen, G. (2008). IDT-TAM Integrated Model for IT Adoption. Tsinghua Science and Technology, 13(3), 306-311. doi:https://doi.org/10.1016/S1007-0214(08)70049-X