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Integrasi Technology Readiness dan Technology Acceptance Model Terhadap Kesiapan Pengguna Enterprise Resource Planning (ERP) pada Industri Pengolahan Kelapa Organik

*Fiby Nur Afiana  -  Program Studi Sistem Informasi, Fakultas Ilmu Komputer, Universitas Amikom Purwokerto, Indonesia
Zanuar Rifai  -  Program Studi Bisnis Digital, Fakultas Bisnis dan Ilmu Sosial, Universitas Amikom Purwokerto, Indonesia
Willy Ardo Frilisia  -  Program Studi Sistem Informasi, Fakultas Ilmu Komputer, Universitas Amikom Purwokerto, Indonesia
Open Access Copyright (c) 2024 JSINBIS (Jurnal Sistem Informasi Bisnis)

Citation Format:
The manufacturing engineering technology that is widely used to integrate activities, financial management, production, and projects into human resource management is Enterprise Resource Planning. One of them is Odoo which is utilized by an organic coconut processing company in Banyumas Regency. Investment in technology often raises pros and cons in a company, where technology investment cannot immediately provide benefits. So the attitude of Human Resources and the level of user readiness for the Adoo application really needs to be studied. The TRAM (Technology Readiness and Acceptance and Odel) method is a combination of the concepts of the Technology Readiness and Technology Acceptance Model, used to determine the effect of user readiness on technology acceptance in a company with the addition of one variable, namely perceived enjoyment. The results obtained by the five hypotheses are stated to have a positive and significant effect, while the two hypotheses are stated to have a negative and insignificant effect. Technology Readiness has a positive and significant effect on Perceived Usefulness, Perceived Ease of Use, Perceived Enjoyment, and Intention to use Odoo while Perceived Usefulness and Perceived Ease of Use have a negative and insignificant effect on Intention to use Odoo. Perceived Enjoyment has a positive and significant effect on the Intention to use Odoo and is a factor that quite influences the readiness and acceptance of new technology. The results of the research can be used by companies to weigh and decide how the company is going towards technology. Considering that the cost of adopting technology is sufficient and significant, it cannot immediately provide benefits to the company, but the benefits can be felt several years later.
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Keywords: Enterprise Resource Planning; ODOO; TRAM

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  1. Adhitama, R., Wijayanto, A., & Kusumawardani, D. M. (2022). Analisis Tingkat Kesiapan Pengguna Sistem Informasi Koreksi Essay Otomatis Berbasis Web Menggunakan Model Technology Readiness Index (TRI). Jurnal Sistem Informasi Bisnis, 11(2), 161–167.
  2. Affandy, A., Widodo, S., & Sarah, S. (2022). Planning and Implementation of Odoo Erp Human Resource Application Module Using Accelerated Sap (Asap) Method in Heavy Equiment Rental Company. Indonesiaon Journal Of Multidisciplinary Science, 1(11), 1505–1517.
  3. Akrong, G. B., Shao, Y., & Owusu, E. (2022). Evaluation of organizational climate factors on tax administration enterprise resource planning (ERP) system. Heliyon, 8(6), e09642.
  4. Ali, S. H., Perrons, R. K., Toledano, P., & Maennling, N. (2019). Energy Research & Social Science A model for “ smart ” mineral enterprise development for spurring investment in climate change mitigation technology. Energy Research & Social Science, 58(September), 101282.
  5. BAKIRTAŞ, H., & AKKAŞ, C. (2020). Technology Readiness and Technology Acceptance of Academic Staffs. International Journal of Management Economics and Business, 16(4), 1043–1058.
  6. Beheshti, H. M., Blaylock, B. K., Henderson, D. A., & Lollar, J. G. (2014). Selection and critical success factors in successful ERP implementation. Competitiveness Review, 24(4), 357–375.
  7. Belhi, A., Gasmi, H., Bouras, A., Aouni, B., & Khalil, I. (2021). Integration of business applications with the blockchain: Odoo and hyperledger fabric open source proof of concept. IFAC-PapersOnLine, 54(1), 817–824.
  8. Bianco, D., Bueno, A., Godinho Filho, M., Latan, H., Miller Devós Ganga, G., Frank, A. G., & Chiappetta Jabbour, C. J. (2023). The role of Industry 4.0 in developing resilience for manufacturing companies during COVID-19. International Journal of Production Economics, 256(June 2022).
  9. Bouwman, M. E., Kommers, P. A. M., & Van Deursen, A. J. A. M. (2014). Revising TAM for hedonic location-based social networks: the influence of TAM, perceived enjoyment, innovativeness and extraversion. International Journal of Web Based Communities, 10(2), 188–210.
  10. Bravi, L., & Murmura, F. (2021). Journal of Engineering and Industry 4 . 0 enabling technologies as a tool for the development of a competitive strategy in Italian manufacturing companies. Journal of Engineering and Technology Management, 60(November 2020), 101629.
  11. Buyle, R., Van Compernolle, M., Vlassenroot, E., Vanlishout, Z., Mechant, P., & Mannens, E. (2018). Technology Readiness and Acceptance Model” as a Predictor for the Use Intention of Data Standards in Smart Cities. Media and Communication, 6(4 Theoretical Reflections and Case Studies), 6(4), 127–139
  12. Chang, Y. W., & Chen, J. (2021). What motivates customers to shop in smart shops? The impacts of smart technology and technology readiness. Journal of Retailing and Consumer Services, 58(May 2020), 102325.
  13. Chen, S. C., Liu, M. L., & Lin, C. P. (2013). Integrating technology readiness into the expectation-confirmation model: An empirical study of mobile services. Cyberpsychology, Behavior, and Social Networking, 16(8), 604–612.
  14. Cruz-Cárdenas, J., Guadalupe-Lanas, J., Ramos-Galarza, C., & Palacio-Fierro, A. (2021). Drivers of technology readiness and motivations for consumption in explaining the tendency of consumers to use technology-based services. Journal of Business Research, 122(June 2020), 217–225.
  15. Erdoǧmu, N., & Esen, M. (2011). An investigation of the effects of technology readiness on technology acceptance in e-HRM. Procedia - Social and Behavioral Sciences, 24, 487–495.
  16. Ferreira, J. B., da Rocha, A., & da Silva, J. F. (2014). Impacts of technology readiness on emotions and cognition in Brazil. Journal of Business Research, 67(5), 865–873.
  17. Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50.
  18. Frank, A. G., Dalenogare, L. S., & Ayala, N. F. (2019). Industry 4.0 technologies: Implementation patterns in manufacturing companies. International Journal of Production Economics, 210, 15–26.
  19. Haas-Schnabel, G., & Szikra, C. (2014). Dynamic simulation of Odoo. Energy and Buildings, 83, 117–121.
  20. Ilin, I. V, Levina, A. I., Dubgorn, A. S., & Abran, A. (2021). Investment Models for Enterprise Architecture ( EA ) and IT Architecture Projects within the Open Innovation Concept. Journal Of Open Innovation : Technology, Market and Complexity, 7(69), 1–18
  21. Kiliç-Çakmak, E. (2010). Learning strategies and motivational factors predicting information literacy self-efficacy of e-learners. Australasian Journal of Educational Technology (AJET), 26(2), 192–208.
  22. Kinkel, S., Baumgartner, M., & Cherubini, E. (2021). Technovation Prerequisites for the adoption of AI technologies in manufacturing – Evidence from a worldwide sample of manufacturing companies. Technovation, August, 102375.
  23. Lam, S. Y., Chiang, J., & Parasuraman, A. (2008). THE EFFECTS OF THE DIMENSIONS OF TECHNOLOGY READINESS ON TECHNOLOGY ACCEPTANCE: AN EMPIRICAL ANALYSIS. Journal of Interactive Marketing, 22(4), 19–39.
  24. Lin, H.-H., Shih, H.-Y., & Sher, P. J. (2007). Technology Readiness into Technology Acceptance: The TRAM Model. Psychology & Marketing, 24(7), 641–657
  25. Nofal, M. I., & Yusof, Z. M. (2013). Integration of Business Intelligence and Enterprise Resource Planning within Organizations. Procedia Technology, 11(Iceei), 658–665.
  26. Nour, M. A., & Mouakket, S. (2011). A Classification Framework of Critical Success Factors for ERP Systems Implementation: A MultiStakeholder Perspective. International Journal of Enterprise Information Systems (IJEIS), 7(1), 56–71
  27. Pangriya, R., & Priya Singh Assistant Professor, A. (2021). The Differencing Views of Technology Readiness and Acceptance Model: A Literature Review Retail Automation View project Customer Attitude-Private Label Brands View project The Differencing Views of Technology Readiness and Acceptance Model: A Literature R. Article in Turkish Journal of Computer and Mathematics Education, 12(4), 1–22.
  28. Papulová, Z., Gažová, A., & Šufliarský, L. (2022). Implementation of Automation Technologies of Industry 4.0 in Automotive Manufacturing Companies. Procedia Computer Science, 200(2019), 1488–1497.
  29. Parasuraman, A. P. (2000). Technology Readiness Index (Tri): A Multiple-Item Scale to Measure Readiness to Embrace New Technologies. Journal of Service Research, 2(4), 307–320.
  30. Roy, S. K., Balaji, M. S., Sadeque, S., Nguyen, B., & Melewar, T. C. (2017). Constituents and consequences of smart customer experience in retailing. Technological Forecasting and Social Change, 124, 257–270.
  31. Rumambi, F. R., Amalia, C., & Alexander, R. (2018). Identifikasi Penerapan ERP dan Resiko Managemen Pada RSUD Dr Samratulangi Tondano Kabupaten Minahasa Sulawesi Utara. Jurnal Sistem Informasi Bisnis, 8(2), 35.
  32. Silva, G. M., Dias, Á., & Rodrigues, M. S. (2022). Continuity of Use of Food Delivery Apps: An Integrated Approach to the Health Belief Model and the Technology Readiness and Acceptance Model. Journal of Open Innovation: Technology, Market, and Complexity, 8(3).
  33. Sun, S., Lee, P. C., Law, R., & Hyun, S. S. (2020). An investigation of the moderating effects of current job position level and hotel work experience between technology readiness and technology acceptance. International Journal of Hospitality Management, 90(June), 102633.
  34. Sunny, S., Patrick, L., & Rob, L. (2019). Impact of cultural values on technology acceptance and technology readiness. International Journal of Hospitality Management, 77(June), 89–96.
  35. Surendram, P. (2012). Technology Acceptance Mdel: A Survey of Literature. International Journal of Business and Social Research (IJBSR), 2(4), 175–178.
  36. Suryo, D. A., Abdullah, S., & Siswanto, T. (2021). Odoo ERP Implementation Point of Sale Module at Mc Cake. Intelmatics, 1(1), 26–31.
  37. Terminanto, A., Hidayanto, A. N., & Utomo, F. B. (2020). Implementation open source system resource planning in sustainable supply chain management of small and medium enterprise. International Journal of Supply Chain Management, 9(3), 472–495
  38. Ullah, A., Bin, R., Khalil, B., Siddique, M., & Sami, A. (2017). Enterprise Resource Planning (ERP) Systems and User Performance (UP). Journal of Managerial Sciences, XI(03), 377–390
  39. Wang, B., Wang, X., & Wang, J. (2012). Construction and Empirical Analysis of Agricultural Science and Technology Enterprises Investment Risk Evaluation Index System. Elsevier, 2, 485–491.
  40. Wingdes, I., Kosasi, S., & Yuliani, I. D. A. E. (2021). Perbandingan Metode Pengujian Teori TAM Pada Penerimaan Teknologi E-Money di Pontianak. Jurnal Sistem Informasi Bisnis, 11(1), 26–33.

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