DAMPAK BENEFITS DAN CHALLENGES IOT ADOPTION TERHADAP SUPPLY CHAIN PERFORMANCE DAN ORGANIZATIONAL PERFORMANCE
Abstract
Abstrak
Di Indonesia, industri manufaktur merupakan pendukung penting pembangunan ekonomi. akibatnya Teknologi mutakhir dan terbaru seperti Internet of Things (IoT) diharapkan berdampak besar pada bisnis dan Supply Chain Performance (SCM). Penelitian tentang dampak adopsi IoT pada rantai pasokan dan
Tindakan organisasi relatif jarang . Oleh karena itu, tujuan dari penelitian ini adalah untuk mengetahui hubungan antara manfaat dan tantangan adopsi IoT dan kinerja organisasi. Selain itu, penelitian ini mengkaji peran mediasi kinerja rantai pasok dalam hubungan interpersonal. Di antara manfaat dan tantangan adopsi IoT dan kinerja bisnis. Populasi penelitian ini terdiri dari 107 responden, rangkaian kuesioner disebar melalui Google form yang sesuai dengan lima persen dari tingkat respons. Pemodelan Persamaan Struktural (SEM) digunakan untuk mengevaluasi semua hipotesis penelitian. Hasil dari pekerjaan ini mendukung semua hipotesis yang diajukan Singkatnya, industri manufaktur Indonesia perlu mendapatkan keuntungan lebih akan tetapi IoT malah terus menghadapi tantangan. Studi ini dapat menjadi pedoman bagi perusahaan manufaktur dalam mengambil keputusan tentang adopsi IoT.
Kata kunci: benefits of iot adoption; challenges of iot adoption; supply chain performance; organizational performance
Abstract
In Indonesia, the manufacturing industry is an important supporter of economic development. as a result Cutting-edge and latest technologies such as the Internet of Things (IoT) are expected to have a major impact on business and Supply Chain Management (SCM). Research on the impact of IoT adoption on supply chains and Organizational actions are relatively rare. Therefore, the purpose of this study is to investigate the relationship between the benefits and challenges of IoT adoption and organizational performance. In addition, this research examines the mediating role of supply chain performance in interpersonal relationships between the benefits and challenges of IoT adoption and business performance. The population of this study consisted of 107 respondents, a series of questionnaires were distributed via the Google form. which corresponds to five percent of the response rate. Structural Equation Modeling (SEM) was used to evaluate all research hypotheses. The results of this work support all the hypotheses put forward. In short, the Indonesian manufacturing industry needs to gain more profits but IoT continues to face challenges. This study can be a guideline for manufacturing companies in making decisions about IoT adoption. Limitations and recommendations for future research are highlighted.
Keyword: Benefits of IoT Adoption; Challenges of IoT Adoption; Supply Chain Performance; Organizational Performance
Keywords
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Aburayya, A., Alshurideh, M., Al Marzouqi, A., Al Diabat, O., Alfarsi, A., Suson, R., Salloum, S. A., Alawadhi, D., & Alzarouni, A. (2020). Critical success factors affecting the implementation of tqm in public hospitals: A case study in UAE Hospitals. Systematic Reviews in Pharmacy, 11(10). https://doi.org/10.31838/srp.2020.10.39
Al-Zu’bi, Z. M. F., Al-Lozi, M., Dahiyat, S. E., Alshurideh, M., & Al Majali,
A. (2012). Examining the effects of quality management practices on product variety. European Journal of Economics, Finance and Administrative Sciences, 51.
Al Kurdi, B., Alshurideh, M., & Al afaishat, T. (2020). Employee retention and organizational performance: Evidence from banking industry. Management Science Letters, 10(16). https://doi.org/10.5267/j.msl.2020.7.011
Al Kurdi, B., Alshurideh, M., Nuseir, M., Aburayya, A., & Salloum, S. A. (2021). The Effects of Subjective Norm on the Intention to Use Social Media Networks: An Exploratory Study Using PLS-SEM and Machine Learning Approach. In Advances in Intelligent Systems and Computing (Vol. 1339). https://doi.org/10.1007/978-3-030-69717-4_55
Alaali, N., Al Marzouqi, A., Albaqaeen, A., Dahabreh, F., Alshurideh, M., Mouzaek, E., Alrwashdh, S., Iyadeh, I., Salloum, S., & Aburayya, A. (2021). The impact of adopting corporate governance strategic performance in the tourism sector: A case study in the Kingdom of Bahrain. Journal of Legal, Ethical and Regulatory Issues, 24(Special Issue 1).
Ali, N., M. Ghazal, T., Ahmed, A., Abbas, S., A. Khan, M., Alzoubi, H., Farooq, U., Ahmad, M., & Adnan Khan, M. (2022). Fusion-Based Supply Chain Collaboration Using Machine Learning Techniques. Intelligent Automation & Soft Computing, 31(3), 1671–1687. https://doi.org/10.32604/iasc.2022.019892
Almaazmi, J., Alshurideh, M., Al Kurdi, B., & Salloum, S. A. (2021). The Effect of Digital Transformation on Product Innovation: A Critical Review. In Advances in Intelligent Systems and Computing: Vol. 1261 AISC.
Alnuaimi, M., Alzoubi, H. M., Ajelat, D., & Alzoubi, A. A. (2021). Towards intelligent organisations: An empirical investigation of learning orientation’s role in technical innovation. International Journal of Innovation and Learning, 29(2), 207–221.
Alshehhi, H., Alshurideh, M., Kurdi, B. A., & Salloum, S. A. (2021). The Impact of Ethical Leadership on Employees Performance: A Systematic Review. In Advances in Intelligent Systems and Computing: Vol. 1261 AISC.
Alshurideh, M., Salloum, S. A., Al Kurdi, B., & Al-Emran, M. (2019). Factors affecting the social networks acceptance: An empirical study using PLS-SEM approach. PervasiveHealth: Pervasive Computing Technologies for Healthcare, Part F1479. https://doi.org/10.1145/3316615.3316720
Alshurideh, M. T., Al Kurdi, B., Masa’deh, R., & Salloum, S. A. (2021). The moderation effect of gender on accepting electronic payment technology: a study on United Arab Emirates consumers. Review of International Business and Strategy, 31(3). https://doi.org/10.1108/RIBS-08-2020-0102
Alshurideh, Muhammad, Alsharari, N. M., & Al Kurdi, B. (2019). Supply chain integration and customer relationship management in the airline logistics. Theoretical Economics Letters, 9(02), 392–414.
Alshurideh, Muhammad, Bataineh, A., Alkurdi, B., & Alasmr, N. (2015). Factors Affect Mobile Phone Brand Choices – Studying the Case of Jordan Universities Students. International Business Research, 8(3). https://doi.org/10.5539/ibr.v8n3p141
Alshurideh, Muhammad, Gasaymeh, A., Ahmed, G., Alzoubi, H., & Kurd, B. Al. (2020). Loyalty program effectiveness: Theoretical reviews and practical proofs. Uncertain Supply Chain Management, 8(3), 599–612. https://doi.org/10.5267/j.uscm.2020.2.003
Alshurideh, Nicholson, & Xiao. (2012). The effect of previous experience on mobile subscribers’ repeat purchase behaviour. European Journal of Social Sciences, 30(3).
AlSuwaidi, S. R., Alshurideh, M., Al Kurdi, B., & Aburayya, A. (2021). The Main Catalysts for Collaborative R&D Projects in Dubai Industrial Sector. The International Conference on Artificial Intelligence and Computer Vision, 795–806.
Alzoubi, H., & Ahmed, G. (2019). Do TQM practices improve organisational success? A case study of electronics industry in the UAE. International Journal of Economics and Business Research, 17(4), 459–472. https://doi.org/10.1504/IJEBR.2019.099975
Alzoubi, H., Alshurideh, M., Kurdi, B. Al, & Inairat, M. (2020). Do perceived service value, quality, price fairness and service recovery shape customer satisfaction and delight? A practical study in the service telecommunication context. Uncertain Supply Chain Management, 8(3), 579–588. https://doi.org/10.5267/j.uscm.2020.2.005
Alzoubi, H., Elrehail, H., Hanaysha, J., Al-Gasaymeh, A., & Al-Adaileh, R. (2021). The Role of Supply Chain Integration and Agile Practices in Improving Lead Time During the COVID-19 Crisis. International Journal of Service Science, Management, Engineering, and Technology, 13(1), 1–11. https://doi.org/10.4018/ijssmet.290348
Alzoubi, H. M., & Aziz, R. (2021). Does Emotional Intelligence Contribute to Quality of Strategic Decisions? The Mediating Role of Open Innovation. https://doi.org/10.3390/joitmc7020130
Alzoubi, H. M., Vij, M., Vij, A., & Hanaysha, J. R. (2021). What leads guests to satisfaction and loyalty in UAE five-star hotels? AHP analysis to service quality dimensions. Enlightening Tourism, 11(1), 102–135. https://doi.org/10.33776/et.v11i1.5056
Alzoubi, H. M., & Yanamandra, R. (2020). Investigating the mediating role of information sharing strategy on agile supply chain. Uncertain Supply Chain Management, 8(2), 273–284. https://doi.org/10.5267/j.uscm.2019.12.004
Anderson, Hair, Black, B. (2010). Multivariate data analysis 7th edition. Pearson Perntice Hall. Tu, M. (2018). An exploratory study of Internet of Things ( IoT ) adoption intention in logistics and supply chain management A mixed research approach. https://doi.org/10.1108/IJLM-11-2016-0274
Bagozzi, R. P. (2006). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error: A Comment. Journal of Marketing Research, 18(3), 375. https://doi.org/10.2307/3150979
Caputo, A., Marzi, G., & Pellegrini, M. M. (2016). The Internet of Things in manufacturing innovation processes: Development and application of a conceptual framework. Business Process Management Journal, 22(2), 383–402. https://doi.org/10.1108/BPMJ-05-2015-0072
Garson, G.D. (2016). Partial Least Squares (PLS-SEM).
Gavrea, C., Stegerean, R., & Ilies, L. (2011). Determinants of Organizational Performance: The Case of Romania. Challenges for the Knowledge Society, 6(2), 285–300.
Ghazal, T.M., Hasan, M. K., Alshurideh, M. T., Alzoubi, H. M., Ahmad, M., Akbar, S. S., Al Kurdi, B., & Akour, I. A. (2021). IoT for smart cities: Machine learning approaches in smart healthcare—A review. Future Internet, 13(8). https://doi.org/10.3390/fi13080218
Ghazal, Taher M., Hasan, M. K., Alshurideh, M. T., Alzoubi, H. M., Ahmad, M., Akbar, S. S., Al Kurdi, B., & Akour, I. A. (2021). IoT for Smart Cities: Machine Learning Approaches in Smart Healthcare—A Review. Future Internet, 13(8),218. https://doi.org/10.3390/fi13080218
Ghazal, Taher M, Alshurideh, M. T., & Alzoubi, H. M. (2021). Blockchain-Enabled Internet of Things (IoT) Platforms for Pharmaceutical and Biomedical Research. The International Conference on Artificial Intelligence and Computer Vision, 589–600.
Haddud, A., Desouza, A., Khare, A., Lee, H., Desouza, A., & Lee, H. (2017). Things integration in supply chains Examiningpotential benefits and challenges associated with the Internet of Things integration in
supply chains.https://doi.org/10.1108/JMTM-05-2017-0094
Hair, J. F. J., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106–121. https://doi.org/10.1108/EBR-10-2013-0128
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152.
Hair Jr, J. F., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107–123.
Hamadneh, S., Pedersen, O., Alshurideh, M., Kurdi, B. Al, & Alzoubi, H. (2021). An Investigation Of The Role Of Supply Chain Visibility Into The Scottish Blood Supply Chain. Journal of Legal, Ethical and Regulatory Issues, 24(Special Issue 1), 1–12.
Hasselblatt, M., Huikkola, T., Kohtamäki, M., Nickell, D., Hasselblatt, M., Huikkola, T., Kohtamäki, M., & Nickell, D. (2018). Modeling manufacturer ’ s capabilities for the Internet of Things. https://doi.org/10.1108/JBIM-11-2015-0225
Hayajneh, N., Suifan, T., Obeidat, B., Abuhashesh, M., Alshurideh, M., & Masa’deh, R. (2021). The relationship between organizational changes and job satisfaction through the mediating role of job stress in the Jordanian telecommunication sector. Management Science Letters, 11(1), 315–326.
Henseler, J, Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science2, 43(1), 115 – 135.
Henseler, Jörg, Ringle, C., & Sarstedt, M. (2012). Using Partial Least Squares Path Modeling in International Advertising Research: Basic Concepts and Recent Issues. In Handbook of Research on International Advertising (pp. 252–276).
Kaliani Sundram, V. P., Chandran, V. G. R., & Awais Bhatti, M. (2016). Supply chain practices and performance: the indirect effects of supply chain integration. Benchmarking.
Krotov, V., Bauernfeind, A. J., & Building, B. (2017). The Internet of
Things and new business opportunities. Business Horizons, 60(6), 831–841.
Kurdi, Barween Al, Alshurideh, M., & Alnaser, A. (2020). The impact of employee satisfaction on customer satisfaction: Theoretical and empirical underpinning. Management Science Letters, 10(15). https://doi.org/10.5267/j.msl.2020.6.038
Kurdi, Barween Al, Elrehail, H., Alzoubi, H. M., Alshurideh, M., & Al-adaileh, R. (2021). The Interplay Among Hrm Practices, Job Satisfaction And Intention To Leave: An Empirical Investigation. 24(1), 1–14.
Lee, I., & Lee, K. (2015). The Internet of Things (IoT): Applications, investments, and challenges for enterprises. Business Horizons, 58(4), 431–440. https://doi.org/10.1016/j.bushor.2015.03.008
Mehrez, A. A. A., Alshurideh, M., Kurdi, B. A., & Salloum, S. A. (2021). Internal Factors Affect Knowledge Management and Firm Performance: A Systematic Review. In Advances in Intelligent Systems and Computing: Vol. 1261 AISC. https://doi.org/10.1007/978-3-030-58669-0_57
Nuseir, M. T., Aljumah, A., & Alshurideh, M. T. (2021). How the Business Intelligence in the New Startup Performance in UAE During COVID-19: The Mediating Role of Innovativeness. In Studies in Systems, Decision and Control (Vol. 334). https://doi.org/10.1007/978-3-030-67151-8_4
Okano, M. T. (2017). IOT and Industry 4.0: The Industrial New Revolution. ICMIS-17 - International Conference on Management and Information Systems, September, 75–82.
Olli Lehtisalo. (2018). The Application of Digital Technologies in Supply Chain Management Master’s thesis 2018. Rajgopal, J. (2016). Supply Chains: Definitions & Basic Concepts. University of Pittsburgh, 32. 548
Richard, P. J., Devinney, T. M., Yip, G. S., & Johnson, G. (2009). Measuring organizational performance: Towards methodological best practice. Journal of Management, 35(3), 718–804. https://doi.org/10.1177/0149206308330560
Shamout, M., Ben-Abdallah, B., Alshurideh, M., Alzoubi, H., Al Kurdi, B., and Hamadneh, S. (2022). A conceptual model for the adoption of autonomous robots in supply chain and logistics industry. Uncertain Supply Chain Management, 10, 1–16.
Showkat, N., & Parveen, H. (2017). Quadrant-I ( e-Text ). August, 0–9.
Sillanpää, I. (2010). Supply chain performance measurement in the manufacturing industry A single case study research to develop a supply chain performance measurement framework. UNIVERSITY OF OULU.
Tadejko, P. (2015). Application of Internet of Things in Logistics – Current Challenges. Economics and Management, 7(4), 54–64. https://doi.org/10.12846/j.em.2015.04.07
Tang, C., Huang, T. C., & Wang, S. (2018). Telematics and Informatics The impact of Internet of things implementation on firm performance. Telematics and Informatics, 35(7), 2038–2053. https://doi.org/10.1016/j.tele.2018.07.007
Tjahjono, B. (2017). ScienceDirect ScienceDirect ScienceDirect ScienceDirect What does Industry 4 . 0 mean to Supply Chain ? What does Society to Supply Costing models for capacity optimization in Industry 4 . 0 : Trade-off between used capacity and operational efficiency. Procedia Manufacturing, 13, 1175–1182. https://doi.org/10.1016/j.promfg.2017.09.191
Vass, T. De. (2018). The effect of “ Internet of Things ” on supply chain integration and performance : An organisational capability perspective. 22, 1–29.
Vass, T., Shee, H., & Miah, S. (2018). The effect of “Internet of Things” on supply chain integration and performance: An organisational capability perspective. Australasian Journal of Information Systems, 22, 1–29. https://doi.org/10.3127/ajis.v22i0.1734
DOI: https://doi.org/10.25134/equi.v20i02.7542
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