Developing the Readiness and Success Model of Information System Implementation in the Indonesian Equestrian Industry

Ajang Sopandi, Nor Adnan Yahaya, Aang Subiyakto

Abstract


This study reports on the incorporation of technology readiness models in information system (IS) success models in the context of assessing readiness factors and the success of information system integration in the equestrian sports industry in Indonesia. As found in several information systems studies, many IS models are developed by adopting, combining, and adapting previous models. Researchers developed this model based on input-process-output logic and processional and causal models of information system success models. The developed model is structured by involving 12 variables and 62 indicators. The path of influence between variables is described by 30 links. In the research implementation stage, the model is also broken down into more detailed assessment instruments. Although these model development studies may have limitations on the assumptions used and the researchers' understanding, they can make theoretical contributions, particularly in terms of proposed new models. In addition, transparency in model development, proposed models, and data collection instruments may also be a practical consideration for advanced research in the context of readiness and successful implementation of information systems in the equestrian sports industry in Indonesia

Keywords


Factor Influencing, Information System, Development Model, Equestrian Industry, Indonesia.

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References


A. Parasuraman and C. L. Colby, “An Updated and Streamlined Technology Readiness Index: TRI 2.0,” J. Serv. Res., no. June, pp. 0–16, 2015, doi: 10.1177/1094670514539730 The.

D. Dimov, “Conceptual Model of Automated Trading Systems Implementation,” ROBONOMICS J. Autom. Econ., vol. 3, p. 25, 2022.

M. Nicho, “A process model for implementing information systems security governance,” Inf. Comput. Secur., vol. 26, no. 1, pp. 10–38, 2018.

M. Dora, A. Kumar, S. K. Mangla, A. Pant, and M. M. Kamal, “Critical success factors influencing artificial intelligence adoption in food supply chains,” Int. J. Prod. Res., vol. 60, no. 14, pp. 4621–4640, 2022.

A. Subiyakto, "Assessing information system integration using a combination of the readiness and success models," Bull. Electr. Eng. Informatics, vol. 7, no. 3, pp. 400–410, 2018.

D. Yuniarto, M. Suryadi, E. Firmansyah, D. Herdiana, and A. B. A. Rahman, “Integrating the readiness and usability models for assessing the information system use,” in 2018 6th International Conference on Cyber and IT Service Management (CITSM), 2018, pp. 1–6.

D. M. Lashayo, “Measuring E-Learning System Adoption in Universities in Tanzania: An Integration of Trust, Environmental Factors, and University Readiness Into an IS Success Model,” Int. J. ICT Res. Africa Middle East, vol. 9, no. 2, pp. 1–18, 2020.

F. Pirola, C. Cimini, and R. Pinto, “Digital readiness assessment of Italian SMEs: a case-study research,” J. Manuf. Technol. Manag., vol. 31, no. 5, pp. 1045–1083, 2020.

A. Subiyakto and A. R. Bin Ahlan, “A coherent framework for understanding critical success factors of ICT project environment,” Int. Conf. Res. Innov. Inf. Syst. ICRIIS, no. January 2014, pp. 342–347, 2013, doi: 10.1109/ICRIIS.2013.6716733.

Y. E. Chan and B. H. Reich, “IT alignment: What have we learned?,” J. Inf. Technol., vol. 22, no. 4, pp. 297–315, 2007, doi: 10.1057/palgrave.jit.2000109.

X. Xu, W. Zhang, and R. Barkhi, “IT infrastructure capabilities and IT project success: A development team perspective,” Inf. Technol. Manag., vol. 11, no. 3, pp. 123–142, 2010, doi: 10.1007/s10799-010-0072-3.

A. Subiyakto and A. R. Ahlan, “Implementation of Input-Process-Output Model for Measuring Information System Project Success,” TELKOMNIKA Indones. J. Electr. Eng., vol. 12, no. 7, pp. 5603–5612, 2014, doi: 10.11591/telkomnika.v12i7.5699.

S. J. Putra, A. Subiyakto, A. R. Ahlan, and M. Kartiwi, “A coherent framework for understanding the success of an information system project,” Telkomnika (Telecommunication Comput. Electron. Control., vol. 14, no. 1, pp. 302–308, 2016, doi: 10.12928/TELKOMNIKA.v14i1.2711.

A. Subiyakto, A. R. Ahlan, M. Kartiwi, and H. T. Sukmana, “Influences of the input factors towards the success of an information system project,” Telkomnika (Telecommunication Comput. Electron. Control., vol. 13, no. 2, pp. 686–693, 2015, doi: 10.12928/TELKOMNIKA.v13i2.1323.

T. D. Nguyen, T. M. Nguyen, and T. H. Cao, “Information systems success: A literature review,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 9446, no. November, pp. 242–256, 2015, doi: 10.1007/978-3-319-26135-5_18.

A. I. Almajed and P. Mayhew, “An Empirical Investigation of IT Project Success in Developing Countries,” Sci. Inf. Conf., no. July, pp. 984–990, 2015, doi: 10.1109/SAI.2014.6918305.

A. Hussain, E. O. C. Mkpojiogu, and F. M. Kamal, “The Role of Requirements in the Success or Failure of Software Projects,” vol. 6, 2016.

R. L. Baskerville and A. T. Wood-Harper, “A critical perspective on action research as a method for information systems research,” Enacting Res. Methods Inf. Syst. Vol. 2, vol. 2, pp. 169–190, 2016, doi: 10.1007/978-3-319-29269-4_7.

W. He and L. Da Xu, “Integration of Distributed Enterprise Applications: A Survey,” IEEE Trans. Knowl. Data Eng., no. c, pp. 1–9, 2011.

A. Subiyakto, A. R. Ahlan, S. J. Putra, and M. Kartiwi, “Validation of information system project success model: A focus group study,” SAGE Open, vol. 5, no. 2, pp. 1–14, 2015, doi: 10.1177/2158244015581650.

V. Venkatesh and F. D. Davis, “A theoretical extension of the technology acceptance model,” Manage. Sci., vol. 46, no. 2, pp. 186–204, 2000, [Online]. Available: https://doi.org/10.1287/mnsc.46.2.186.11926

E. M. Zhang, “Understanding the Acceptance of Mobile SMS Advertising among Young Chinese Consumers,” Psychol. Mark., vol. 30, no. 6, pp. 461–469, 2010, doi: 10.1002/mar.

Q. L. Chen and Z. H. Zhou, “Unusual formations of superoxo heptaoxomolybdates from peroxo molybdates,” Inorg. Chem. Commun., vol. 67, no. 3, pp. 95–98, 2016, doi: 10.1016/j.inoche.2016.03.015.

V. A. A. Jr. and N. T. Mertz, Theoritical Frameworks in Qualitative Research, no. Mi. 1967.

A. Subiyakto, “Development of the Readiness and Success Model for Assessing the Information System Integration,” Adv. Intell. Syst. Res. (AISR), Vol. 149 Int. Conf. Sci. Technol. (ICOSAT 2017) Dev., vol. 149, no. Icosat 2017, pp. 110–115, 2017, doi: 10.2991/icosat-17.2018.25.

C. Iriarte and S. Bayona, “IT projects success factors: a literature review,” Int. J. Inf. Syst. Proj. Manag., vol. 8, no. 2, pp. 49–78, 2020.

A. I. Almajed and P. Mayhew, “An empirical investigation of IT project success in developing countries,” Proc. 2014 Sci. Inf. Conf. SAI 2014, no. July, pp. 984–990, 2014, doi: 10.1109/SAI.2014.6918305.

A. Subiyakto, “Assessing information system integration using combination of the readiness and success models,” Bull. Electr. Eng. Informatics, vol. 7, no. 3, pp. 400–410, 2018, doi: 10.11591/eei.v7i3.1182.

V. Vaishnavi and M. Suresh, “Modelling of readiness factors for the implementation of Lean Six Sigma in healthcare organizations,” Int. J. Lean Six Sigma, 2020.

A. Parasuraman and C. L. Colby, “An Updated and Streamlined Technology Readiness Index: TRI 2.0,” J. Serv. Res., vol. 18, no. 1, pp. 59–74, 2015, doi: 10.1177/1094670514539730.

W. H. DeLone and E. R. McLean, “The DeLone and McLean model of information systems success: A ten-year update,” J. Manag. Inf. Syst., vol. 19, no. 4, pp. 9–30, 2003, doi: 10.1080/07421222.2003.11045748.

M. Dorodchi, M. Abedi, and B. Cukic, “Trust-Based Development Framework for Distributed Systems and IoT,” Proc. - Int. Comput. Softw. Appl. Conf., vol. 2, pp. 437–442, 2016, doi: 10.1109/COMPSAC.2016.213.

M. Oduor, T. Alahäivälä, and H. Oinas-Kukkonen, “Persuasive software design patterns for social influence,” Pers. Ubiquitous Comput., vol. 18, no. 7, pp. 1689–1704, 2014, doi: 10.1007/s00779-014-0778-z.

ISO, “The ISO/IEC 25000 series of standards,” ISO/IEC 25000 Ser. Stand., [Online]. Available: https://www.iso.org/obp/ui/#iso:std:iso-iec:25010:ed-2:v1:en




DOI: https://doi.org/10.47738/jads.v5i1.145

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Journal of Applied Data Sciences

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