Case Study of Successful Utilization of Digital Technology Innovations Determinants of Cooperative Institutions in Bali: The Impact of the Covid-19 Pandemic

Surya Dewi Rustariyuni


The Covid-19 pandemic has caused serious problems for all sectors and financial institutions, including cooperatives. One solution for cooperative institutions is to innovate digital technology to overcome social distancing. Cooperatives that can maintain their performance during the Covid-19 pandemic are those that can innovate technology. In this study, a qualitative descriptive method was used to determine the factors that influence the successful use of digital technology innovations by cooperatives in Bali due to the Covid-19 pandemic. The key informants in this study were the chairman of the board and cooperative management who applied digital technology innovation during the Covid-19 pandemic and triangulation was used for data analysis purposes. We found that top management commitment and support, perceived costs, security concerns, compatible technology facilities, perceived benefits, performance expectations and business prospects were critical to the successful use of digital technology innovations by cooperatives in Bali during the Covid-19 pandemic.


Top management commitment and support, technology facilities, digital technology innovation, cost perception, security issues, Covid-19 pandemic

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Abed, S. S. (2020). Social Commerce Adoption Using TOE Framework: An Empirical Investigation of Saudi Arabian SMEs. International Journal of Information Management, 53(March), 102118.

Abushanab, E., Michael Pearson, J., & Setterstrom, A. J. (2010). Internet Banking and Customers’ Acceptance in Jordan: The Unified Model’s Perspective. Communications of the Association for Information Systems, 26(1), 493–524.

Addy, M., Adinyira, E., & Ayarkwa, J. (2018). Antecedents of Building Information Modelling Adoption Among Quantity Surveyors in Ghana: An Application of A Technology Acceptance Model. Journal of Engineering, Design and Technology, 16(2), 313–326.

Ahmadi, H., Nilashi, M., & Ibrahim, O. (2015). Organizational decision to adopt hospital information system: An empirical investigation in the case of Malaysian public hospitals. International Journal of Medical Informatics, 84(3), 166–188.

Ahmadi, H., Nilashi, M., Shahmoradi, L., & Ibrahim, O. (2017). Hospital Information System adoption: Expert perspectives on an adoption framework for Malaysian public hospitals. Computers in Human Behavior, 67, 161–189.

Ahmadi, H., Nilashi, M., Shahmoradi, L., Ibrahim, O., Sadoughi, F., Alizadeh, M., & Alizadeh, A. (2018). The moderating effect of hospital size on inter and intra-organizational factors of Hospital Information System adoption. Technological Forecasting and Social Change, 134(May), 124–149.

Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., & Algharabat, R. (2018). Examining factors influencing Jordanian customers’ intentions and adoption of internet banking: Extending UTAUT2 with risk. Journal of Retailing and Consumer Services, 40(August 2017), 125–138.

Alamanda, D. T., Wibowo, L. A., Munawar, S., & Nisa, A. K. (2021). The Interest of Technology Adoption in E-Commerce Mobile Apps Using Modified Unified Theory of Acceptance and Use of Technology 2 in Indonesia. International Journal of Applied Business and International Management, 6(3), 35–45.

Alharbi, I. M., Zyngier, S., & Hodkinson, C. (2013). Privacy by design and customers’ perceived privacy and security concerns in the success of e-commerce. Journal of Enterprise Information Management, 26(6), 702–718.

Ali, O., Shrestha, A., Osmanaj, V., & Muhammed, S. (2021). Cloud Computing Technology Adoption: An Evaluation of Key Factors in Local Governments. Information Technology and People, 34(2), 666–703.

Alkhater, N., Walters, R., & Wills, G. (2018). An Empirical Study of Factors Influencing Cloud Adoption Among Private Sector Organisations. Telematics and Informatics, 35(1), 38–54.

Alwahaishi, S., & Snášel, V. (2013). Consumers’ acceptance and use of information and communications technology: A UTAUT and flow based theoretical model. Journal of Technology Management and Innovation, 8(2), 61–73.

Ammar, A., & Ahmed, E. M. (2016). Factors influencing Sudanese microfinance intention to adopt mobile banking. Cogent Business & Management, 5(1), 1–20.

Aryani, N. K. Y., Sapta, I. K. S., & Sujana, I. W. (2021). The Influence of Organizational Culture and Competence on Employee Performance Mediated by Organizational Commitments in the Procurement of Goods and Services Secretariat Regency of Karangasem. Asia Pacific Journal of Management and Education, 4(3), 76–86.

Asiaei, A., & Nor, N. Z. (2019). A Multifaceted Framework for Adoption of Cloud Computing in Malaysian SMEs. Journal of Science and Technology Policy Management, 10(3), 708–750.

Awa, H. O., Ojiabo, O. U., & Orokor, L. E. (2017). Integrated Technology-Organization-Environment (T-O-E) Taxonomies for Technology Adoption. Journal of Enterprise Information Management, 30(6), 893–921.

Awa, H. O., Ukoha, O., & Igwe, S. R. (2017). Revisiting Technology-Organization-Environment (T-O-E) Theory for Enriched Applicability. Bottom Line, 30(1), 2–22.

Ayaz, A., & Yanartaş, M. (2020). An analysis on the unified theory of acceptance and use of technology theory (UTAUT): Acceptance of electronic document management system (EDMS). Computers in Human Behavior Reports, 2(September), 100032.

Baabdullah, A. M., Alalwan, A. A., Rana, N. P., Kizgin, H., & Patil, P. (2019). Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model. International Journal of Information Management, 44(July 2018), 38–52.

Barrutia, J. M., & Echebarria, C. (2021). Effect of the COVID-19 pandemic on public managers’ attitudes toward digital transformation. Technology in Society, 67, 101776.

Beraha, I., & Đuričin, S. (2020). The impact of COVID-19 crisis on medium-sized enterprises in Serbia. Economic Analysis, 53(1), 14–27.

Bhatiasevi, V. (2016). An extended UTAUT model to explain the adoption of mobile banking. Information Development, 32(4), 799–814.

Bose, R., & Luo, X. (2011). Integrative Framework for Assessing Firms’ Potential to Undertake Green IT Initiatives Via Virtualization - A Theoretical Perspective. Journal of Strategic Information Systems, 20(1), 38–54.

Cao, Q., & Niu, X. (2019). Integrating context-awareness and UTAUT to explain Alipay user adoption. International Journal of Industrial Ergonomics, 69(October 2017), 9–13.

Carreiro, H., & Oliveira, T. (2019). Impact of transformational leadership on the diffusion of innovation in firms: Application to mobile cloud computing. Computers in Industry, 107, 104–113.

Chan, F. T. S., Chong, A. Y., & Zhou, L. (2012). An Empirical Investigation of Factors Affecting e-collaboration Diffusion in SMEs. International Journal of Production Economics, 138(2), 329–344.

Chong, A. Y. L. (2013). A two-staged SEM-neural network approach for understanding and predicting the determinants of m-commerce adoption. Expert Systems with Applications, 40(4), 1240–1247.

de Albuquerque, J. P., Diniz, E. H., & Cernev, A. K. (2014). Mobile payments: a scoping study of the literature and issues for future research. Information Development, 32(3), 527–553. (2020). Menkopukm : Transformasi Digital Koperasi Harus Dipercepat. Humas Kementerian Koperasi Dan UKM.

Dinas Koperasi Usaha Kecil dan Menengah Provinsi Bali. (2021). Rekapitulasi Data Koperasi Per Desember 2021.

Dwivedi, Y. K., Hughes, D. L., Coombs, C., Constantiou, I., Duan, Y., Edwards, J. S., Gupta, B., Lal, B., Misra, S., Prashant, P., Raman, R., Rana, N. P., Sharma, S. K., & Upadhyay, N. (2020). Impact of COVID-19 pandemic on information management research and practice: Transforming education, work and life. International Journal of Information Management, 55(July), 102211.

Farah, M. F., Hasni, M. J. S., & Abbas, A. K. (2018). Mobile-banking adoption: empirical evidence from the banking sector in Pakistan. International Journal of Bank Marketing, 36(7), 1386–1413.

Fernandez, J. (2020). Pandemi CoViD-19 dan Perubahan Sosial Ekonomi: Anggaran Bencana dan Pasca Bencana. Infoanggaran.Com.

Ferri, L., Spanò, R., Ginesti, G., & Theodosopoulos, G. (2020). Ascertaining Auditors’ Intentions to Use Blockchain Technology: Evidence from The Big 4 Accountancy Firms in Italy. Meditari Accountancy Research.

Ford, G. S. (2018). Is faster better? Quantifying the relationship between broadband speed and economic growth. Telecommunications Policy, 42(9), 766–777.

Fuentelsaz, L., Gómez, J., & Palomas, S. (2012). Production technologies and financial performance: The effect of uneven diffusion among competitors. Research Policy, 41(2), 401–413.

Gangwar, H., Date, H., & Ramaswamy, R. (2015). Understanding Determinants of Cloud Computing Adoption Using an Integrated TAM-TOE Model. Journal of Enterprise Information Management, 28(1), 107–130.

Ghobakhloo, M., Arias-Aranda, D., & Benitez-Amado, J. (2011). Adoption of e-commerce applications in SMEs. In Industrial Management and Data Systems (Vol. 111, Issue 8).

Ghobakhloo, M., & Ching, N. T. (2019). Adoption of digital technologies of smart manufacturing in SMEs. Journal of Industrial Information Integration, 16(January), 100107.

Goodell, J. W. (2020). COVID-19 and Finance: Agendas for Future Research. Finance Research Letters, 35(April).

Gupta, K. P., Manrai, R., & Goel, U. (2019). Factors influencing adoption of payments banks by Indian customers: extending UTAUT with perceived credibility. Journal of Asia Business Studies, 13(2), 173–195.

Gupta, P., Seetharaman, A., & Raj, J. R. (2013). The usage and adoption of cloud computing by small and medium businesses. International Journal of Information Management, 33(5), 861–874.

Gutierrez, A., Boukrami, E., & Lumsden, R. (2015). Technological, organisational and environmental factors influencing managers’ decision to adopt cloud computing in the UK. Journal of Enterprise Information Management, 28(6), 788–807.

Haneem, F., Kama, N., Taskin, N., Pauleen, D., & Abu Bakar, N. A. (2019). Determinants of master data management adoption by local government organizations: An empirical study. International Journal of Information Management, 45(November 2018), 25–43.

Hasbi, M. (2020). Impact of very high-speed broadband on company creation and entrepreneurship: Empirical Evidence. Telecommunications Policy, 44(3), 1–21.

Hsiu-Fen Lin. (2014). Understanding The Determinants of Electronic Supply Chain Management System Adoption: Using The Technology-Organization-Environment Framework. Technological Forecasting and Social Change, 86, 80–92.

Hussain, Z. (2021). Paradigm of technological convergence and digital transformation: The challenges of CH sectors in the global COVID-19 pandemic and commencing resilience-based structure for the post-COVID-19 era. Digital Applications in Archaeology and Cultural Heritage, 21(March), e00182.

Ilin, V., Ivetić, J., & Simić, D. (2017). Understanding the determinants of e-business adoption in ERP-enabled firms and non-ERP-enabled firms: A case study of the Western Balkan Peninsula. Technological Forecasting and Social Change, 125(August), 206–223.

Kamble, S. S., Gunasekaran, A., Kumar, V., Belhadi, A., & Foropon, C. (2021). A machine learning based approach for predicting blockchain adoption in supply Chain. Technological Forecasting and Social Change, 163(November 2020), 120465.

KemenkopUKM. (2021). Perlu Peran Koperasi Atasi Aneka Permasalahan UMKM. Kemenkop.Go.Id.

Khalid, B., & Naumova, E. (2021). Digital transformation SCM in view of Covid-19 from Thailand SMEs perspective. In Global Challenges of Digital Transformation of Markets (pp. 49–66). Nova Science Publishers, Inc.

Khayer, A., Jahan, N., Hossain, M. N., & Hossain, M. Y. (2021). The Adoption of Cloud Computing in Small and Medium Enterprises: A Developing Country Perspective. VINE Journal of Information and Knowledge Management Systems.

Kuciapski, M. (2017). A model of mobile technologies acceptance for knowledge transfer by employees. Journal of Knowledge Management, 21(5), 1053–1076.

Kumar, D., Samalia, H. V., & Verma, P. (2017). Exploring suitability of cloud computing for small and medium-sized enterprises in India. Journal of Small Business and Enterprise Development, 24(4), 814–832.

Lancelot Miltgen, C., Popovič, A., & Oliveira, T. (2013). Determinants of end-user acceptance of biometrics: Integrating the “big 3” of technology acceptance with privacy context. Decision Support Systems, 56(1), 103–114.

Larsson, S., & Gustavsson, S. (2020). Marketing Innovation for SMEs during COVID-19 Pandemic. Lulea University of Technology.

Le, A. T. P., Kunasekaran, P., Rasoolimanesh, S. M., AriRagavan, N., & Thomas, T. K. (2021). Investigating the determinants and process of destination management system (DMS) implementation. Journal of Organizational Change Management.

Lee, S. M., & Trimi, S. (2021). Convergence innovation in the digital age and in the COVID-19 pandemic crisis. Journal of Business Research, 123(September 2020), 14–22.

Lian, J. W., Yen, D. C., & Wang, Y. T. (2014). An exploratory study to understand the critical factors affecting the decision to adopt cloud computing in Taiwan hospital. International Journal of Information Management, 34(1), 28–36.

Low, C., Chen, Y., & Wu, M. (2011). Understanding the determinants of cloud computing adoption. Industrial Management and Data Systems, 111(7), 1006–1023.

Ma, D., Tina Du, J., Cen, Y., & Wu, P. (2016). Exploring the adoption of mobile internet services by socioeconomically disadvantaged people: A qualitative user study. Aslib Journal of Information Management, 68(6), 670–693.

Maduku, D. K., Mpinganjira, M., & Duh, H. (2016). Understanding mobile marketing adoption intention by South African SMEs: A multi-perspective framework. International Journal of Information Management, 36(5), 711–723.

Malik, K., Ogden, T., Meki, M., Morduch, J., & Quinn, S. (2020). COVID-19 and the Future of Microfinance : Evidence and Insights from Pakistan. Oxford Review of Economic Policy 36.Supplement_1, 138–168.

Maroufkhani, P., Tseng, M., & Iranmanesh, M. (2020). Big data analytics adoption: Determinants and performances among small to medium-sized enterprises. International Journal of Information Management, 54(February), 102190.

Martins, C., Oliveira, T., & Popovič, A. (2014). Understanding the internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34(1), 1–13.

Martins, R., Oliveira, T., & Thomas, M. A. (2016). An Empirical Analysis to Assess The Determinants of SaaS Diffusion in Firms. Computers in Human Behavior, 62, 19–33.

Merhi, M., Hone, K., & Tarhini, A. (2019). A cross-cultural study of the intention to use mobile banking between Lebanese and British consumers: Extending UTAUT2 with security , privacy and trust. Technology in Society, 59(June), 101–151.

Oliveira, T., Faria, M., & Abraham, M. (2014). Extending the understanding of mobile banking adoption : When UTAUT meets TTF and ITM. International Journal of Information Management, 34, 689–703.

Oliveira, T., & Martins, M. F. (2010). Understanding e-business adoption across industries in European countries. Industrial Management and Data Systems, 110(9), 1337–1354.

Oliveira, T., Thomas, M., & Espadanal, M. (2014). Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors. Information and Management, 51(5), 497–510.

Ooi, K. B., Lee, V. H., Tan, G. W. H., Hew, T. S., & Hew, J. J. (2018). Cloud computing in manufacturing: The next industrial revolution in Malaysia? Expert Systems with Applications, 93, 376–394.

Ooi, K., Lee, V., Tan, G. W., Hew, T., & Hew, J. (2018). Cloud Computing in Manufacturing : The Next Industrial Revolution in Malaysia ? Expert Systems With Applications, 93, 376–394.

Osakwe, C. N., Chovancová, M., & Agu, M. (2015). Can micro-enterprises leverage on the adoption of corporate websites to bolster their brand visibility? Examining salient adoption issues in Nigeria. Information Development, 32(4), 904–919.

Priyadarshinee, P., Raut, R. D., Jha, M. K., & Gardas, B. B. (2017). Understanding and predicting the determinants of cloud computing adoption: A two staged hybrid SEM - Neural networks approach. Computers in Human Behavior, 76, 341–362.

Putri, A., Amran, A., Suparwo, A., Kurniawan, A., Rahayu, Y. S., & Suryana, S. (2021). The Importance of Perceived Organizational Support and Work From Home to increase Work-Life Balance During The Covid-19 Pandemic. Asia Pacific Journal of Management and Education, 4(3), 10–21.

Rahi, S., & Abd.Ghani, M. (2019). Investigating the role of UTAUT and e-service quality in internet banking adoption setting. TQM Journal, 31(3), 491–506.

Ramayah, T., Ling, N. S., Taghizadeh, S. K., & Rahman, S. A. (2016). Factors influencing SMEs website continuance intention in Malaysia. Telematics and Informatics, 33(1), 150–164.

Ramdani, B., Chevers, D., & Williams, D. A. (2013). SMEs’ Adoption of Enterprise Applications: A Technology-Organisation-Environment Model. Journal of Small Business and Enterprise Development, 20(4), 735–753.

Reddick, C. G., Enriquez, R., Harris, R. J., & Sharma, B. (2020). Determinants of broadband access and affordability: An analysis of a community survey on the digital divide. Cities, 106(September), 102904.

Riffai, M. M. M. A., Grant, K., & Edgar, D. (2012). Big TAM in Oman: Exploring the promise of on-line banking, its adoption by customers and the challenges of banking in Oman. International Journal of Information Management, 32(3), 239–250.

Robinson, J., & Kengatharan, N. (2020). Exploring the effect of Covid-19 on Small and Medium Enterprises: Early Evidence from Sri Lanka. Journal of Applied Economics and Business Research, 10(2), 115–125.

Sabani, A. (2020). Investigating the influence of transparency on the adoption of e-Government in Indonesia. Journal of Science and Technology Policy Management.

Safari, F., Safari, N., & Hasanzadeh, A. (2015). The Adoption of Software-as-a-Service (SaaS): Ranking The Determinants. Journal of Enterprise Information Management, 28(3), 400–422.

Satoto, S. H., & Putra, H. N. K. (2021). The Effect of Financial Literacy and other Determinants on the Intention to Use Electronic Money: Consumer Behavior as a Variable Mediation. International Journal of Applied Business and International Management, 6(3), 23–34.

Senyo, P. K., Effah, J., & Addae, E. (2016). Preliminary insight into cloud computing adoption in a developing country. Journal of Enterprise Information Management, 29(4), 505–524.

Singh, S., Sharma, M., & Dhir, S. (2021). Modeling the effects of digital transformation in Indian manufacturing industry. Technology in Society, 67(August), 101763.

Sivathanu, B. (2019). Adoption of industrial IoT (IIoT) in auto-component manufacturing SMEs in India. Information Resources Management Journal, 32(2), 52–75.

Soong, K. K., Ahmed, E. M., & Tan, K. S. (2020). Factors Influencing Malaysian Small and Medium Enterprises Adoption of Electronic Government Procurement. Journal of Public Procurement, 20(1), 38–61.

Sun, S., Hall, D. J., & Cegielski, C. G. (2020). Organizational Intention To Adopt Big Data In The B2B Context: An Integrated View. Industrial Marketing Management, 86(June 2018), 109–121.

Supartika, I. P. (2020). Agar Tak Ditinggalkan , Diskop & UMKM Denpasar Minta Koperasi. Bali.Tribunnews.Com.

Szutowski, D., Szulczewska-Remi, A., & Ratajczak, P. (2019). Managing innovation processes in industrial sector. Qualitative study. Economic Research-Ekonomska Istrazivanja , 32(1), 282–300.

Ullah, F., Sepasgozar, S. M. E., Thaheem, M. J., & Al-Turjman, F. (2021). Barriers to the digitalisation and innovation of Australian Smart Real Estate: A managerial perspective on the technology non-adoption. Environmental Technology and Innovation, 22, 101527.

Van Looy, A. (2021). A quantitative and qualitative study of the link between business process management and digital innovation. Information and Management, 58(2), 103413.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425–478.

Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly: Management Information Systems, 36(1), 157–178.

Viswanath Venkatesh, J. Y. L. T. and X. X. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. Management Information Systems Research Center, JSTOR, 36(1), 157–178.

Wang, H. J., & Lo, J. (2016). Adoption of open government data among government agencies. Government Information Quarterly, 33(1), 80–88.

Wei, J., Lowry, P. B., & Seedorf, S. (2015). The Assimilation of RFID Technology by Chinese Companies: A Technology Diffusion Perspective. Information and Management, 52(6), 628–642.

Wong, L. W., Leong, L. Y., Hew, J. J., Tan, G. W. H., & Ooi, K. B. (2020). Time to Seize The Digital Evolution: Adoption of Blockchain In Operations and Supply Chain Management Among Malaysian SMEs. International Journal of Information Management, 52(August 2019), 101997.

Yang, Z., Sun, J., Zhang, Y., & Wang, Y. (2015). Understanding SaaS adoption from the perspective of organizational users: A tripod readiness model. Computers in Human Behavior, 45, 254–264.

Yeh, C. C., & Chen, Y. F. (2018). Critical success factors for adoption of 3D printing. Technological Forecasting and Social Change, 132(June 2017), 209–216.

Zaazou, Z. A., & Abdou, D. S. (2020). Egyptian Small and Medium Sized Enterprises ’ Battle Against COVID- 19 Pandemic : March – July 2020. Journal of Humanities and Applied Social Sciences, July.

Zetterli, P. (2020). Four Ways Microfinance Institutions Are Responding to COVID-19 (Issue August 2020).

Zheng, C., & Zhang, J. (2021). The impact of COVID-19 on the efficiency of microfinance institutions. International Review of Economics and Finance, 71, 407–423.

Zhou, T. (2011). Understanding mobile internet continuance usage from the perspectives of UTAUT and flow. Information Development, 27(3), 207–218.

Zuiderwijk, A., Janssen, M., & Dwivedi, Y. K. (2015). Acceptance and use predictors of open data technologies: Drawing upon the unified theory of acceptance and use of technology. Government Information Quarterly, 32(4), 429–440.



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