How to cite this paper
Alathamneh, F & Al-Hawary, S. (2023). Impact of digital transformation on sustainable performance.International Journal of Data and Network Science, 7(2), 911-920.
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Adetunji, O. M., &Owolabi, A. A. (2016). Firm performance and its drivers: How important are the industry and firm-level factors. International Journal of Economics and Finance, 8(11), 60-77. http://dx.doi.org/10.5539/ijef.v8n11p60
Aityassine, F., Aldiabat, B., Al-rjoub, S., Aldaihani, F., Al-Shorman, H., & Al-Hawary, S. (2021). The mediating effect of just in time on the relationship between green supply chain management practices and performance in the manufactur-ing companies. Uncertain Supply Chain Management, 9(4), 1081-1090.
Al-Abbadi, L., Bader, D., Mohammad, A., Al-Quran, A., Aldaihani, F., Al-Hawary, S., & Alathamneh, F. (2022). The ef-fect of online consumer reviews on purchasing intention through product mental image. International Journal of Data and Network Science, 6(4), 1519-1530.
Al-Awamleh, H., Alhalalmeh, M., Alatyat, Z., Saraireh, S., Akour, I., Alneimat, S., & Al-Hawary, S. (2022). The effect of green supply chain on sustainability: Evidence from the pharmaceutical industry. Uncertain Supply Chain Manage-ment, 10(4), 1261-1270.
Al-Hawary, S. I. S., & Obiadat, A. A. (2021). Does mobile marketing affect customer loyalty in Jordan?. International Journal of Business Excellence, 23(2), 226-250.
Ali, I. (2019). The impact of industry 4.0 on the nexus between supply chain risks and firm performance. In Proceedings of the annual conference of Academy of Management on Academy of management proceedings (Vol. 2019, No. 1, p. 13501). Briarcliff Manor, NY 10510: Academy of Management.https://doi.org/10.5465/AMBPP.2019.77
Al-khawaldah, R., Al-zoubi, W., Alshaer, S., Almarshad, M., ALShalabi, F., Altahrawi, M., & Al-hawary, S. (2022). Green supply chain management and competitive advantage: The mediating role of organizational ambidexterity. Uncertain Supply Chain Management, 10(3), 961-972.
Al-Nawafah, S., Al-Shorman, H., Aityassine, F., Khrisat, F., Hunitie, M., Mohammad, A., & Al-Hawary, S. (2022). The ef-fect of supply chain management through social media on competitiveness of the private hospitals in Jordan. Uncer-tain Supply Chain Management, 10(3), 737-746.
Alshawabkeh, R., AL-Awamleh, H., Alkhawaldeh, M., Kanaan, R., Al-Hawary, S., Mohammad, A., & Alkhawalda, R. (2022). The mediating role of supply chain management on the relationship between big data and supply chain perfor-mance using SCOR model. Uncertain Supply Chain Management, 10(3), 729-736.
Altarifi, S., Al-Hawary, S. I. S., & Al Sakkal, M. E. E. (2015). Determinants of E-Shopping and its effect on consumer purchasing decision in Jordan. International Journal of Business and Social Science, 6(1).
AL-Zyadat, A., Alsaraireh, J., Al-Husban, D., Al-Shorman, H., Mohammad, A., Alathamneh, F., & Al-Hawary, S. (2022). The effect of industry 4.0 on sustainability of industrial organizations in Jordan. International Journal of Data and Network Science, 6(4), 1437-1446.
Attiany, M., Al-kharabsheh, S., Abed-Qader, M., Al-Hawary, S., Mohammad, A., & Rahamneh, A. (2023). Barriers to adopt industry 4.0 in supply chains using interpretive structural modeling. Uncertain Supply Chain Management, 11(1), 299-306.
Berghaus, S., & Back, A. (2016, September). Stages in digital business transformation: results of an empirical maturity study. In MCIS (p. 22).
Boudlaie, H., Boghosian, A., Chandra, T., Al-Hawary, S. I. S., Hussein, R. A., Talib, S. G., ... & Iswanto, A. H. (2022). In-vestigating the effect of humility of Muslim leaders on the moral behaviours of followers and spirituality at work in Islamic society. HTS Teologiese Studies/Theological Studies, 78(1), 6.
Brown, T. A. (2015). Confirmatory factor analysis for applied research (Second edition). The Guilford Press.
Chen, B., Wan, J., Shu, L., Li, P., Mukherjee, M., & Yin, B. (2017). Smart factory of industry 4.0: Key technologies, ap-plication case, and challenges. IEEE Access, 6, 6505-6519.
Chen, Y., & Zhu, J. (2004). Measuring information technology's indirect impact on firm performance. Information Tech-nology and Management, 5(1), 9-22.https://doi.org/10.1023/B:ITEM.0000008075.43543.97
Fatorachian, H., &Kazemi, H. (2020). Impact of Industry 4.0 on supply chain performance. Production Planning & Con-trol, 32(1), 63-81.https://doi.org/10.1080/09537287.2020.1712487
Franke, G., &Sarstedt, M. (2019). Heuristics versus statistics in discriminant validity testing: A comparison of four pro-cedures. Internet Research, 29(3), 430–447.
Gubán, M., &Kovács, G. (2017). INDUSTRY 4.0 CONCEPTION. Acta Technica Corviniensis-Bulletin of Engineering, 10(1), 111-114.
Harahap, T. H., Dwijendra, N. K. A., Al-Hawary, S. I. S., Iswanto, A. H., Ahmed, N. M., Hasan, Y. M., ... & Mustafa, Y. F. (2022). A New Commodity Distribution Approach Based on Asymmetric Traveler Salesman Using Ant Colony Algo-rithm. Industrial Engineering & Management Systems, 21(3), 538-546.
Henriette, E., Feki, M., & Boughzala, I. (2016, September). Digital Transformation Challenges. In MCIS (p. 33).
Indriastuti, M., & Fuad, K. (2020, July). Impact of covid-19 on digital transformation and sustainability in small and me-dium enterprises (smes): A conceptual framework. In Conference on Complex, Intelligent, and Software Intensive Sys-tems (pp. 471-476). Springer, Cham.
Kao, C., & Hwang, S. N. (2010). Efficiency measurement for network systems: IT impact on firm performance. Decision Support Systems, 48(3), 437-446. https://doi.org/10.1016/j.dss.2009.06.002
Khalayleh, M., & Al-Hawary, S. (2022). The impact of digital content of marketing mix on marketing performance: An experimental study at five-star hotels in Jordan. International Journal of Data and Network Science, 6(4), 1023-1032.
Lalic, B., Majstorovic, V., Marjanovic, U., Delić, M., &Tasic, N. (2017). The Effect of Industry 4.0 Concepts and E-learning on Manufacturing Firm Performance: Evidence from Transitional Economy. In H.Lödding, R. Riedel, KD.Thoben, G. von Cieminski, D.Kiritsis (Eds.), Proceedings of the International Federation for Information Pro-cessing (IFIP) Conference on Advances in Production Management Systems, (Vol. 513, pp. 298-305).Cham: Spring-er.https://doi.org/10.1007/978-3-319-66923-6_35
Lee, E. A. (2008, May). Cyber physical systems: Design challenges. In Proceedings of the 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC), (pp. 363-369). Orlando, FL, USA: IEEE. https://doi.org/10.1109/ISORC.2008.25
Lee, I., & Lee, K. (2015). The Internet of Things (IoT): Applications, investments, and challenges for enterprises. Business horizons, 58(4), 431-440.
Lee, R. P., & Grewal, R. (2004). Strategic responses to new technologies and their impact on firm performance. Journal of Marketing, 68(4), 157-171. https://doi.org/10.1509/jmkg.68.4.157.42730
Lin, B., Wu, W., & Song, M. (2019). Industry 4.0: Driving factors and impacts on firm’s performance: An empirical study on China’s manufacturing industry. Annals of Operations Research, 1-21.https://doi.org/10.1007/s10479-019-03433-6
Loukis, E., Janssen, M., &Mintchev, I. (2019). Determinants of software-as-a-service benefits and impact on firm perfor-mance. Decision Support Systems, 117, 38-47.https://doi.org/10.1016/j.dss.2018.12.005
Mackey, A. (2008). The effect of CEOs on firm performance. Strategic management journal, 29(12), 1357-1367.https://doi.org/10.1002/smj.708
Mohammad, A. A. S. (2020). The effect of customer empowerment and customer engagement on marketing performance: the mediating effect of brand community membership. Verslas: Teorija ir praktika/Business: Theory and Practice, 21(1), 30-38.
Mohammad, A., Aldmour, R., & Al-Hawary, S. (2022). Drivers of online food delivery orientation. International Journal of Data and Network Science, 6(4), 1619-1624.
Morakanyane, R., Grace, A. A., & O'reilly, P. (2017). Conceptualizing Digital Transformation in Business Organizations: A Systematic Review of Literature. Bled eConference, 21, 428-444.
Mubarak, N., Khan, J., Yasmin, R., & Osmadi, A. (2021). The impact of a proactive personality on innovative work behav-ior: the role of work engagement and transformational leadership. Leadership & Organization Development Journal, 42(7), 989-1003.
Muda, I., Sivaraman, R., Al-Hawary, S. I. S., Rahardja, U., Bader, R. S., Kadarsyah, D., ... & Chaudhary, P. (2022). Hub Location-allocation in Computer-based Networks under Disruption Using Whale Optimization Algorithm. Industrial Engineering & Management Systems, 21(3), 503-515.
Mukhlis, H., Al-Hawary, S. I. S., Linh, H. V., Hani, I. R., & Adnan, S. (2022). Religious capital and job engagement among Malaysian Muslim nurses during the COVID-19 pandemic. HTS Teologiese Studies/Theological Studies, 78(1), 6.
Oerlemans, L. A. G., &Meeus, M. T. H. (2005). Do organizational and spatial proximity impact on firm performance?. Regional studies, 39(1), 89-104.https://doi.org/10.1080/0034340052000320896
Osterrieder, P., Budde, L., &Friedli, T. (2020). The smart factory as a key construct of industry 4.0: A systematic litera-ture review. International Journal of Production Economics, 221, 107476.https://doi.org/10.1016/j.ijpe.2019.08.011
Radziwon, A., Bilberg, A., Bogers, M., & Madsen, E. S. (2014). The smart factory: exploring adaptive and flexible manu-facturing solutions. Procedia engineering, 69, 1184-1190.
Rahamneh, A., Alrawashdeh, S., Bawaneh, A., Alatyat, Z., Mohammad, A., & Al-Hawary, S. (2023). The effect of digital supply chain on lean manufacturing: A structural equation modelling approach. Uncertain Supply Chain Management, 11(1), 391-402.
Rahman, M., Kamal, M. M., Aydin, E., & Ul Haque, A. (2020). Impact of Industry 4.0 drivers on the performance of the service sector: comparative study of cargo logistic firms in developed and developing regions. Production Planning & Control, 33(2-3), 228-243.https://doi.org/10.1080/09537287.2020.1810758
Rimkeviciene, J., Hawgood, J., O’Gorman, J., & De Leo, D. (2017). Construct Validity of the Acquired Capability for Sui-cide Scale: Factor Structure, Convergent and Discriminant Validity. Journal of Psychopathology and Behavioral As-sessment, 39(2), 291–302.
Sagiroglu, S., & Sinanc, D. (2013, May). Big data: A review. In 2013 international conference on collaboration technolo-gies and systems (CTS) (pp. 42-47). IEEE.
Schwertner, K. (2017). Digital transformation of business. Trakia Journal of Sciences, 15(1), 388-393.https://doi.org/10.15547/tjs.2017.s.01.065
Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill-building approach (Seventh edition). Wiley.
Shi, D., Lee, T., &Maydeu-Olivares, A. (2019). Understanding the Model Size Effect on SEM Fit Indices. Educational and Psychological Measurement, 79(2), 310–334.
Ślusarczyk, B., Tvaronavičienė, M., UL Haque, A., &Oláh, J. (2020). Predictors of Industry 4.0 technologies affecting lo-gistic enterprises’ performance: International perspective from economic lens. Technological and Economic Develop-ment of Economy, 26(6), 1263-1283. https://doi.org/10.3846/tede.2020.13376
Tariq, E., Alshurideh, M., Akour, I., & Al-Hawary, S. (2022). The effect of digital marketing capabilities on organization-al ambidexterity of the information technology sector. International Journal of Data and Network Science, 6(2), 401-408.
Tsai, C. W., Lai, C. F., Chao, H. C., & Vasilakos, A. V. (2015). Big data analytics: a survey. Journal of Big data, 2(1), 1-32.
ur Rehman, M. H., Ahmed, E., Yaqoob, I., Hashem, I. A. T., Imran, M., & Ahmad, S. (2018). Big data analytics in indus-trial IoT using a concentric computing model. IEEE Communications Magazine, 56(2), 37-43.
Van Veldhoven, Z., & Vanthienen, J. (2019). Designing a Comprehensive Understanding of Digital Transformation and its Impact. Bled eConference, 22.
Vial, G. (2021). Understanding digital transformation: A review and a research agenda. Managing Digital Transformation, 13-66.
Villarreal, M. G., & Jorgensen, T. D. (2020). Adapting fit indices for Bayesian structural equation modeling: Comparison to maximum likelihood. Psychological Methods, 25(1), 46–70.
Xia, Y., & Yang, Y. (2019). RMSEA, CFI, and TLI in structural equation modeling with ordered categorical data: The sto-ry they tell depends on the estimation methods. Behavior Research Methods, 51(1), 409–428.
Zhang, Z., & Yuan, K.-H. (2016). Robust Coefficients Alpha and Omega and Confidence Intervals with Outlying Observa-tions and Missing data: Methods and Software. Educational and Psychological Measurement, 76(3), 387–411.
Zulkarnain, N., &Anshari, M. (2016, November). Big data: Concept, Applications, & Challenges. In Proceedings of the 2016 International Conference on Information Management and Technology (ICIMTech), (pp. 307-310). Aston Tropi-cana Hotel, Bandung, Indonesia: IEEE. https://doi.org/10.1109/ICIMTech.2016.7930350
Aityassine, F., Aldiabat, B., Al-rjoub, S., Aldaihani, F., Al-Shorman, H., & Al-Hawary, S. (2021). The mediating effect of just in time on the relationship between green supply chain management practices and performance in the manufactur-ing companies. Uncertain Supply Chain Management, 9(4), 1081-1090.
Al-Abbadi, L., Bader, D., Mohammad, A., Al-Quran, A., Aldaihani, F., Al-Hawary, S., & Alathamneh, F. (2022). The ef-fect of online consumer reviews on purchasing intention through product mental image. International Journal of Data and Network Science, 6(4), 1519-1530.
Al-Awamleh, H., Alhalalmeh, M., Alatyat, Z., Saraireh, S., Akour, I., Alneimat, S., & Al-Hawary, S. (2022). The effect of green supply chain on sustainability: Evidence from the pharmaceutical industry. Uncertain Supply Chain Manage-ment, 10(4), 1261-1270.
Al-Hawary, S. I. S., & Obiadat, A. A. (2021). Does mobile marketing affect customer loyalty in Jordan?. International Journal of Business Excellence, 23(2), 226-250.
Ali, I. (2019). The impact of industry 4.0 on the nexus between supply chain risks and firm performance. In Proceedings of the annual conference of Academy of Management on Academy of management proceedings (Vol. 2019, No. 1, p. 13501). Briarcliff Manor, NY 10510: Academy of Management.https://doi.org/10.5465/AMBPP.2019.77
Al-khawaldah, R., Al-zoubi, W., Alshaer, S., Almarshad, M., ALShalabi, F., Altahrawi, M., & Al-hawary, S. (2022). Green supply chain management and competitive advantage: The mediating role of organizational ambidexterity. Uncertain Supply Chain Management, 10(3), 961-972.
Al-Nawafah, S., Al-Shorman, H., Aityassine, F., Khrisat, F., Hunitie, M., Mohammad, A., & Al-Hawary, S. (2022). The ef-fect of supply chain management through social media on competitiveness of the private hospitals in Jordan. Uncer-tain Supply Chain Management, 10(3), 737-746.
Alshawabkeh, R., AL-Awamleh, H., Alkhawaldeh, M., Kanaan, R., Al-Hawary, S., Mohammad, A., & Alkhawalda, R. (2022). The mediating role of supply chain management on the relationship between big data and supply chain perfor-mance using SCOR model. Uncertain Supply Chain Management, 10(3), 729-736.
Altarifi, S., Al-Hawary, S. I. S., & Al Sakkal, M. E. E. (2015). Determinants of E-Shopping and its effect on consumer purchasing decision in Jordan. International Journal of Business and Social Science, 6(1).
AL-Zyadat, A., Alsaraireh, J., Al-Husban, D., Al-Shorman, H., Mohammad, A., Alathamneh, F., & Al-Hawary, S. (2022). The effect of industry 4.0 on sustainability of industrial organizations in Jordan. International Journal of Data and Network Science, 6(4), 1437-1446.
Attiany, M., Al-kharabsheh, S., Abed-Qader, M., Al-Hawary, S., Mohammad, A., & Rahamneh, A. (2023). Barriers to adopt industry 4.0 in supply chains using interpretive structural modeling. Uncertain Supply Chain Management, 11(1), 299-306.
Berghaus, S., & Back, A. (2016, September). Stages in digital business transformation: results of an empirical maturity study. In MCIS (p. 22).
Boudlaie, H., Boghosian, A., Chandra, T., Al-Hawary, S. I. S., Hussein, R. A., Talib, S. G., ... & Iswanto, A. H. (2022). In-vestigating the effect of humility of Muslim leaders on the moral behaviours of followers and spirituality at work in Islamic society. HTS Teologiese Studies/Theological Studies, 78(1), 6.
Brown, T. A. (2015). Confirmatory factor analysis for applied research (Second edition). The Guilford Press.
Chen, B., Wan, J., Shu, L., Li, P., Mukherjee, M., & Yin, B. (2017). Smart factory of industry 4.0: Key technologies, ap-plication case, and challenges. IEEE Access, 6, 6505-6519.
Chen, Y., & Zhu, J. (2004). Measuring information technology's indirect impact on firm performance. Information Tech-nology and Management, 5(1), 9-22.https://doi.org/10.1023/B:ITEM.0000008075.43543.97
Fatorachian, H., &Kazemi, H. (2020). Impact of Industry 4.0 on supply chain performance. Production Planning & Con-trol, 32(1), 63-81.https://doi.org/10.1080/09537287.2020.1712487
Franke, G., &Sarstedt, M. (2019). Heuristics versus statistics in discriminant validity testing: A comparison of four pro-cedures. Internet Research, 29(3), 430–447.
Gubán, M., &Kovács, G. (2017). INDUSTRY 4.0 CONCEPTION. Acta Technica Corviniensis-Bulletin of Engineering, 10(1), 111-114.
Harahap, T. H., Dwijendra, N. K. A., Al-Hawary, S. I. S., Iswanto, A. H., Ahmed, N. M., Hasan, Y. M., ... & Mustafa, Y. F. (2022). A New Commodity Distribution Approach Based on Asymmetric Traveler Salesman Using Ant Colony Algo-rithm. Industrial Engineering & Management Systems, 21(3), 538-546.
Henriette, E., Feki, M., & Boughzala, I. (2016, September). Digital Transformation Challenges. In MCIS (p. 33).
Indriastuti, M., & Fuad, K. (2020, July). Impact of covid-19 on digital transformation and sustainability in small and me-dium enterprises (smes): A conceptual framework. In Conference on Complex, Intelligent, and Software Intensive Sys-tems (pp. 471-476). Springer, Cham.
Kao, C., & Hwang, S. N. (2010). Efficiency measurement for network systems: IT impact on firm performance. Decision Support Systems, 48(3), 437-446. https://doi.org/10.1016/j.dss.2009.06.002
Khalayleh, M., & Al-Hawary, S. (2022). The impact of digital content of marketing mix on marketing performance: An experimental study at five-star hotels in Jordan. International Journal of Data and Network Science, 6(4), 1023-1032.
Lalic, B., Majstorovic, V., Marjanovic, U., Delić, M., &Tasic, N. (2017). The Effect of Industry 4.0 Concepts and E-learning on Manufacturing Firm Performance: Evidence from Transitional Economy. In H.Lödding, R. Riedel, KD.Thoben, G. von Cieminski, D.Kiritsis (Eds.), Proceedings of the International Federation for Information Pro-cessing (IFIP) Conference on Advances in Production Management Systems, (Vol. 513, pp. 298-305).Cham: Spring-er.https://doi.org/10.1007/978-3-319-66923-6_35
Lee, E. A. (2008, May). Cyber physical systems: Design challenges. In Proceedings of the 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC), (pp. 363-369). Orlando, FL, USA: IEEE. https://doi.org/10.1109/ISORC.2008.25
Lee, I., & Lee, K. (2015). The Internet of Things (IoT): Applications, investments, and challenges for enterprises. Business horizons, 58(4), 431-440.
Lee, R. P., & Grewal, R. (2004). Strategic responses to new technologies and their impact on firm performance. Journal of Marketing, 68(4), 157-171. https://doi.org/10.1509/jmkg.68.4.157.42730
Lin, B., Wu, W., & Song, M. (2019). Industry 4.0: Driving factors and impacts on firm’s performance: An empirical study on China’s manufacturing industry. Annals of Operations Research, 1-21.https://doi.org/10.1007/s10479-019-03433-6
Loukis, E., Janssen, M., &Mintchev, I. (2019). Determinants of software-as-a-service benefits and impact on firm perfor-mance. Decision Support Systems, 117, 38-47.https://doi.org/10.1016/j.dss.2018.12.005
Mackey, A. (2008). The effect of CEOs on firm performance. Strategic management journal, 29(12), 1357-1367.https://doi.org/10.1002/smj.708
Mohammad, A. A. S. (2020). The effect of customer empowerment and customer engagement on marketing performance: the mediating effect of brand community membership. Verslas: Teorija ir praktika/Business: Theory and Practice, 21(1), 30-38.
Mohammad, A., Aldmour, R., & Al-Hawary, S. (2022). Drivers of online food delivery orientation. International Journal of Data and Network Science, 6(4), 1619-1624.
Morakanyane, R., Grace, A. A., & O'reilly, P. (2017). Conceptualizing Digital Transformation in Business Organizations: A Systematic Review of Literature. Bled eConference, 21, 428-444.
Mubarak, N., Khan, J., Yasmin, R., & Osmadi, A. (2021). The impact of a proactive personality on innovative work behav-ior: the role of work engagement and transformational leadership. Leadership & Organization Development Journal, 42(7), 989-1003.
Muda, I., Sivaraman, R., Al-Hawary, S. I. S., Rahardja, U., Bader, R. S., Kadarsyah, D., ... & Chaudhary, P. (2022). Hub Location-allocation in Computer-based Networks under Disruption Using Whale Optimization Algorithm. Industrial Engineering & Management Systems, 21(3), 503-515.
Mukhlis, H., Al-Hawary, S. I. S., Linh, H. V., Hani, I. R., & Adnan, S. (2022). Religious capital and job engagement among Malaysian Muslim nurses during the COVID-19 pandemic. HTS Teologiese Studies/Theological Studies, 78(1), 6.
Oerlemans, L. A. G., &Meeus, M. T. H. (2005). Do organizational and spatial proximity impact on firm performance?. Regional studies, 39(1), 89-104.https://doi.org/10.1080/0034340052000320896
Osterrieder, P., Budde, L., &Friedli, T. (2020). The smart factory as a key construct of industry 4.0: A systematic litera-ture review. International Journal of Production Economics, 221, 107476.https://doi.org/10.1016/j.ijpe.2019.08.011
Radziwon, A., Bilberg, A., Bogers, M., & Madsen, E. S. (2014). The smart factory: exploring adaptive and flexible manu-facturing solutions. Procedia engineering, 69, 1184-1190.
Rahamneh, A., Alrawashdeh, S., Bawaneh, A., Alatyat, Z., Mohammad, A., & Al-Hawary, S. (2023). The effect of digital supply chain on lean manufacturing: A structural equation modelling approach. Uncertain Supply Chain Management, 11(1), 391-402.
Rahman, M., Kamal, M. M., Aydin, E., & Ul Haque, A. (2020). Impact of Industry 4.0 drivers on the performance of the service sector: comparative study of cargo logistic firms in developed and developing regions. Production Planning & Control, 33(2-3), 228-243.https://doi.org/10.1080/09537287.2020.1810758
Rimkeviciene, J., Hawgood, J., O’Gorman, J., & De Leo, D. (2017). Construct Validity of the Acquired Capability for Sui-cide Scale: Factor Structure, Convergent and Discriminant Validity. Journal of Psychopathology and Behavioral As-sessment, 39(2), 291–302.
Sagiroglu, S., & Sinanc, D. (2013, May). Big data: A review. In 2013 international conference on collaboration technolo-gies and systems (CTS) (pp. 42-47). IEEE.
Schwertner, K. (2017). Digital transformation of business. Trakia Journal of Sciences, 15(1), 388-393.https://doi.org/10.15547/tjs.2017.s.01.065
Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill-building approach (Seventh edition). Wiley.
Shi, D., Lee, T., &Maydeu-Olivares, A. (2019). Understanding the Model Size Effect on SEM Fit Indices. Educational and Psychological Measurement, 79(2), 310–334.
Ślusarczyk, B., Tvaronavičienė, M., UL Haque, A., &Oláh, J. (2020). Predictors of Industry 4.0 technologies affecting lo-gistic enterprises’ performance: International perspective from economic lens. Technological and Economic Develop-ment of Economy, 26(6), 1263-1283. https://doi.org/10.3846/tede.2020.13376
Tariq, E., Alshurideh, M., Akour, I., & Al-Hawary, S. (2022). The effect of digital marketing capabilities on organization-al ambidexterity of the information technology sector. International Journal of Data and Network Science, 6(2), 401-408.
Tsai, C. W., Lai, C. F., Chao, H. C., & Vasilakos, A. V. (2015). Big data analytics: a survey. Journal of Big data, 2(1), 1-32.
ur Rehman, M. H., Ahmed, E., Yaqoob, I., Hashem, I. A. T., Imran, M., & Ahmad, S. (2018). Big data analytics in indus-trial IoT using a concentric computing model. IEEE Communications Magazine, 56(2), 37-43.
Van Veldhoven, Z., & Vanthienen, J. (2019). Designing a Comprehensive Understanding of Digital Transformation and its Impact. Bled eConference, 22.
Vial, G. (2021). Understanding digital transformation: A review and a research agenda. Managing Digital Transformation, 13-66.
Villarreal, M. G., & Jorgensen, T. D. (2020). Adapting fit indices for Bayesian structural equation modeling: Comparison to maximum likelihood. Psychological Methods, 25(1), 46–70.
Xia, Y., & Yang, Y. (2019). RMSEA, CFI, and TLI in structural equation modeling with ordered categorical data: The sto-ry they tell depends on the estimation methods. Behavior Research Methods, 51(1), 409–428.
Zhang, Z., & Yuan, K.-H. (2016). Robust Coefficients Alpha and Omega and Confidence Intervals with Outlying Observa-tions and Missing data: Methods and Software. Educational and Psychological Measurement, 76(3), 387–411.
Zulkarnain, N., &Anshari, M. (2016, November). Big data: Concept, Applications, & Challenges. In Proceedings of the 2016 International Conference on Information Management and Technology (ICIMTech), (pp. 307-310). Aston Tropi-cana Hotel, Bandung, Indonesia: IEEE. https://doi.org/10.1109/ICIMTech.2016.7930350