ACCEPTANCE OF E-PERFORMANCE SYSTEMS USING THE TECHNOLOGY ACCEPTANCE MODEL (TAM) APPROACH  IN AN OUTSOURCHING COMPANY

Zara Larasati; Imam Ali Yoda; Dr. Ratri Wahyuningtyas

Authors

Zara Larasati Universitas Telkom
Imam Ali Yoda Binus University
Dr. Ratri Wahyuningtyas Universitas Telkom

Keywords:

Digital Transformation, technology acceptance model, e-performance, Cleaning service, technology adoption

Abstract

In the era of technological development, digital-transformation is a widely implemented program in companies. One of the digital transformation applications implemented in the organization is the application of the e-performance jsystem in cleaning services at PT ISS Indonesia. The e-performances system is an Android-based applications system implemented by ISS to monitor the performance of cleaning service employees. The cleaning service carries out this e-performance filling daily to complete previously approved work orders/Service Level Agreements. So this study-aims to examine the acceptance of-the existing e-performance system at PT ISS Indonesia using the-technology acceptance model (TAM) approach. This study aims to determine the effects of perceived usefulness on attitude toward use, the effect of perceived ease of use on attitude toward use, the effect of attitude toward use on behavioral intention to use, and the effect of behavioral intention to use on actual system use e-performance in the TIMAH Energy Resources area. This study used a-questionnaires method by taking a sample of 158 people. This study used-quantitative methods and distributed questionnaires. Data processing uses the PLS (Partial Least Square) analysis-method, and this research method is taken from the basic theory of the Technology Acceptance Model (TAM) and its variables, namely perceived ease of use, perceived-usefulness, attitude toward use, behavioral-intention to use and actual-systems use. This study found that the four research hypotheses were acceptable, and the implementation of the e-performance system at PT ISS Indonesia was well-received in the field. Each variable influences the other to get the results of acceptance of using the e-performance system. Furthermore, it is hoped that the results of this research can be used as material for evaluation and consideration for companies in carrying out digital transformation. In addition, training employees, strengthening the e-performance system, and adding features to the e-performance system can increase the use of this e-performance system.

Downloads

Download data is not yet available.

References

Abdillah, W., & Hartono, J. (2015). Partial Least Square (PLS) Alternatif Structural Equation Modelling (SEM) dalam Penelitian Bisnis. Yogyakarta: Penerbit Andi.

Almajali, D. A., Majali, T., Masa’deh, R., Al-Bashayreh, M. G., & Altamimi, A. M. (2023). Antecedents of acceptance model for. Emerald Publishing Limited.

Ardhiani, I. N. (2015). Analisis faktor-faktor penerimaan penggunaan quipperschool.com dengan menggnakan pendekatan tevchnology acceptance model (TAM) dan Theory of panned Behavior (TPB) di SMA Negeri 7 Yogyakarta.

Aulifin, S. A. (2022). Analisis Penerimaan Pengguna Shopeepay Sebagai Sistem Pembayaran Elektronik Menggunakan Technology Acceptance Model (TAM) di Wilayah Kota Bogor. Telkom.

Barclay, D., Higgins, C., & Thompson, R. (1995). The Partial Least Squares (PLS) Approach to Causal Modeling: Personal Computer Adoption and Use as an Illustration. Technology Studies, 285-309.

Calegari, L. P., R.D., B., & Fettermann, D. C. (2023). A meta-analysis of a comprehensive m-health technology acceptance. Emerald Publishing Limited.

Castillo S., M. J., & Bigne, E. (2021). A model of adoption of AR-based. Emerald Publishing Limited.

Craig, & Grant. (2016). Manajemen Strategi. Jakarta: Alex Media Komputindo.

Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. 318–340.

Echeberria, A. L. (2020). A Digital Framework for Industry 4.0. London: Palgrave Macmillan.

Fajri, R. A. (2022). Analisis Minat Penggunaan Gopaylater pada Aplikasi Gojek dengan Pendekatan Technology Acceptance Model (TAM) di Kota Bandung. Universitas Telkom, 34.

Ghozali, I., & Latan, H. (2015). Konsep, Teknik, Aplikasi Menggunakan Smart PLS 3.0 Untuk Penelitian Empiris. Semarang: BP Undip.

Hamid, R. S., Suhardi, M., & Anwar. (2019). Structural Equation Modeling (SEM) Berbasis Varian: Konsep Dasar dan Aplikasi dengan Program SmartPLS 3.2.8 dalam Riset Bisnis. PT Inkubator Penulis Indonesia.

Hamzah, D. A. (2021). Metode Penelitian Kuantitatif Rekonstruksi Pemikiran Dasar Serta Contoh Penerapan Pada Ilmu Pendidikan, Sosial & Humaniora. Malang: CV Literasi Nusantara Abadi .

ISS Indonesia. (2018). NCC Cleaning Program. Jakarta: ISS Indonesia.

ISS Indonesia. (2022, Oktober 5). ISS Indonesia. Retrieved from ISS Indonesia: https://www.id.issworld.com/

Johnson, G., & Scholes, K. (2016). Exploring Corporate Strategy-Text and. Cases. Hemel Hempstead: Prentice-Hall.

Kampa, R. K. (2023). Combining technology readiness and acceptance model for investigating the acceptance of m-learning in higher education in India. Emerald Publishing Limited.

Khan, S., Khan, S. U., Khan, I. U., Khan , S. Z., & Khan, R. U. (2023). Understanding consumer adoption of mobile payment in Pakistan. Emerald Publishing Limited.

Kusumastuti, A., Khoiron, A. M., & Achmadi, T. A. (2020). Metode Penelitian Kuantitatif. Yogyakarta: Deepublish.

Li, J., Saide, S., Ismail, M. N., & Indrajit, R. E. (2021). Exploring IT/IS proactive and knowledge transfer on enterprise digital business transformation (EDBT): a technology-knowledge perspective. Emerald, 3.

Lubis, R. L., & Pusparani, A. (2022). What Do University Students Know About SDG4 Quality Education? A Case Study of Business Management Education at Telkom University Indonesia. Jurnal Manajemen Indonesia, 103-113.

Musriannur, M. H. (2022). Pengukuran dan Analisis Penerimaan LMS sebagai Media Belajar Online menggunakan Technology Acceptance Model di Universitas Telkom. Telkom.

Nurhayati, E. (2017). Pengaruh Penerapan Sistem Penilaian E-Kinerja dan Kompetensi Terhadap Kinerja Pegawai di Kecamatan Semarang TImur melalui Motivasi Sebagai Variabel Intervening. Jurnal Pendidikan Ekonomi dan Bisnis, 5.

Pasaribu, R. D., Hartaman, A., Sutjipto, M. R., Umbara, T., Purwanadita, R., & Masfiroh, A. (2022). Human-CenteredSustainable UniversityModel. Jurnal Manajemen Indonesia, 1-12.

Purwanto, E. A., & Sulistyastuti, R. D. (2017). Metode Penelitian Kuantitatif. Yogyakarta: Gava Media.

Riduwan, & Kuncoro, E. A. (2017). Cara Menggunakan dan Memakai. Path Analysis (Analisis Jalur). Bandung: Alfabeta.

Rogers, D. L. (2017). The Digital Transformation Playbook Rethink Your Business for the Digital Age. Columbia: Columbia Business School Publishing.

Safitri, J. L. (2022). Analisis Penerimaan Augmented Reality Pada Wardah Virtual Try On Dengan Pendekatan Technology Acceptance Model (TAM). Telkom.

SAS. (2019). SAS. Digital transformation: Thriving in a changing world, 1.

Setiawan, S. (2022). Analisis Manfaat Dan Kemudahan Penggunaan Sistem Igracias Terhadap Mahasiswa Di Telkom University Menggunakan Metode TAM (Technology Acceptance Model). Telkom.

Sinambela, L. P., & Sinambela, S. (2021). Metodologi Penelitian Kuatitatif - Teori dan Praktik. Depok: Rajawali Pers.

Singh, H., Jain, G., Munjal, A., & Rakesh, S. (2020). Blockchain technology in corporate governance: disrupting chain reaction or not? Emerald Publishing Limited.

Sitio, P. A. (2022). Pengaruh Gaya Kepemimpinan Demokratis Terhadap Kinerja Pegawai Pada Balai Prasarana Permukiman Wilayah Sumatera Utara . Telkom University, 24-25.

Sofyan, D. M. (2022). Analisis Pengguna Layanan Streaming Netflix Pada Generasi Muda Indonesia Menggunakan Teori Technology Acceptance Model. Universitas Telkom, 20-21.

Sugiarto. (2022). Metodelogi Penelitian Bisnis. Yogyakarta: Andi.

Sugiono. (2022). Metode Penelitian Kuantitatif, Kualitatif, dan R&D . Bandung : Alfabeta.

Sugiyono. (2013). Metode Penelitian Kuantitatif, Kualitatif dan R&D. Bandung: Alfabeta.

Supardi. (1993). Populasi dan Sampel Penelitian. UNISIA.

Syavina, M. T. (2014). Faktor-faktor yang Berhubungan dengan Kelelahan Kerja pada Petugas Cleaning Service di RSUD kota Semarang Tahun 2013. Universitas Dian Nuswantoro.

Tahir, H. (2021). Penerapan E-Kinerja dalam Menilai Kinerja Aparatur Sipil Negeri (ASN) pada Kantor Dinas Perumahan Kawasan Permukiman dan Pertanahan Provinsi Sulawesi Selatan. 29.

Tatnall, A. (2020). Encyclopedia of Education and Information Technologies pp 537–547Cite as Different Methodological Approaches to Considering the Adoption of ICT. Springer, 51.

The Enterprisers Project. (2020). What is digital transformation? The Enterprisers Project, 1.

Trenggonowati, D. L., & Kulsum, K. (2018). Analisis Faktor Optimalisasi Golden Age Anak Usia Dini Studi Kasus Di Kota Cilegon. Journal Industrial Services.

Ulfa, R. (2021). Variabel Penelitian DAlam Penelitian Pendidikan. Al Fathonah, 342-351.

Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J. Q., Fabian, N., & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, 2.

Westerman, G. e. (2011). Digital Transformation: A Road-Map for Billion-Dollar Organizations. 1-68.

Wiafe, I., Koranteng, F. N., Tettey, T., Kastriku , F. A., & Abdulai, J.-D. (2019). Factors that affect acceptance and use of information systems within the Maritime industry in developing countries The case of Ghana. Emerald Publishing Limited.

Widodo. (2017). Metodelogi Penelitian Populer dan Praktis. Jakarta: Rajawali Pers.

Yuliana, E., Putro, U. S., Hermawan, P., & Ghina, A. (2023). Viable System Model as A Framework for Value Co-Creation Service System Analysis of Technology-based Business Incubator. Jurnal Manajemen Indonesia, 36-47.