1 |
Widnall, E., Grant, C. E., Wang, T., Cross, L., Velupillai, S., Roberts, A., & Downs, J. (2020). User perspectives of mood-monitoring apps available to young people: qualitative content analysis. JMIR mHealth and uHealth, 8(10), e18140.
DOI
|
2 |
Provost, F., & Fawcett, T. (2013). Data science and its relationship to big data and data-driven decision making. Big data, 1(1), 51-59.
DOI
|
3 |
Ajah, I. A., & Nweke, H. F. (2019). Big data and business analytics: trends, platforms, success factors and applications. Big Data and Cognitive Computing, 3(2), 32.
DOI
|
4 |
Alam, J. R., Sajid, A., Talib, R., & Niaz, M. (2014). A review on the role of big data in business. International Journal of Computer Science and Mobile Computing, 3(4), 446-453.
|
5 |
Asdecker, B., & Felch, V. (2018). Development of an Industry 4.0 maturity model for the delivery process in supply chains. Journal of Modelling in Management, 13(4). 840-883.
DOI
|
6 |
Berawi, M. A. (2018). Utilizing big data in industry 4.0: managing competitive advantages and business ethics. International Journal of Technology, 3(1), 430-433.
DOI
|
7 |
Brown, B., Chui, M., & Manyika, J. (2011). Are you ready for the era of 'big data'. McKinsey Quarterly, 4(1), 24-35.
|
8 |
Sung, I. (2021). Interdisciplinary literature analysis between cosmetic container design and customer purchasing intention. The Journal of Industrial Distribution & Business, 12(3), 21-29.
DOI
|
9 |
Han, S., & Kang, E. (2020). The marketing strategy to stimulate customer's interest in art-gallery business plan. The Journal of Distribution Science, 18(8), 47-54.
DOI
|
10 |
Slimene, I. B., & Youssef, W. A. B. (2021). Industry 4.0 and Digital Supply-Chain Management: ERP-SCM Implementation. In Big Data for Entrepreneurship and Sustainable Development (pp. 131-150). CRC Press.
|
11 |
Tajabadi, A., Ahmadi, F., Sadooghi Asl, A., & Vaismoradi, M. (2020). Unsafe nursing documentation: a qualitative content analysis. Nursing ethics, 27(5), 1213-1224.
DOI
|
12 |
Hu, Y. (2018). Marketing and business analysis in the era of big data. American Journal of Industrial and Business Management, 8(7), 86198.
|
13 |
Tavera Romero, C. A., Ortiz, J. H., Khalaf, O. I., & Rios Prado, A. (2021). Business intelligence: business evolution after industry 4.0. Sustainability, 13(18), 10026.
DOI
|
14 |
Upadhyay, P., & Kumar, A. (2020). The intermediating role of organizational culture and internal analytical knowledge between the capability of big data analytics and a firm's performance. International Journal of Information Management, 52(June), 102100.
DOI
|
15 |
Braganza, A., Brooks, L., Nepelski, D., Ali, M., & Moro, R. (2017). Resource management in big data initiatives: processes and dynamic capabilities. Journal of Business Research, 70(January), 328-337.
DOI
|
16 |
Da Costa, M. B., Dos Santos, L. M. A. L., Schaefer, J. L., Baierle, I. C., & Nara, E. O. B. (2019). Industry 4.0 technologies basic network identification. Scientometrics, 121(2), 977-994.
DOI
|
17 |
Hall, C. M. (2018). Quantitative and qualitative content analysis. In Handbook of research methods for tourism and hospitality management. Edward Elgar Publishing.
|
18 |
Yari, A., Ardalan, A., Ostadtaghizadeh, A., Zarezadeh, Y., Boubakran, M. S., Bidarpoor, F., & Rahimiforoushani, A. (2019). Underlying factors affecting death due to flood in Iran: a qualitative content analysis. International Journal of Disaster Risk Reduction, 40(November), 101258.
DOI
|
19 |
Wamba, S. F., Akter, S., Edwards, A., Chopin, G., & Gnanzou, D. (2015). How 'big data' can make big impact: findings from a systematic review and a longitudinal case study. International Journal of Production Economics, 165(July), 234-246.
DOI
|
20 |
Wang, Y., Kung, L., & Byrd, T. A. (2018). Big data analytics: understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change, 126(January), 3-13.
DOI
|
21 |
Yin, S., & Kaynak, O. (2015). Big data for modern industry: challenges and trends [point of view]. Proceedings of the IEEE, 103(2), 143-146.
DOI
|
22 |
Acharya, A., Singh, S. K., Pereira, V., & Singh, P. (2018). Big data, knowledge co-creation and decision making in fashion industry. International Journal of Information Management, 42(October), 90-101.
DOI
|
23 |
Leusin, M. E., Frazzon, E. M., Uriona Maldonado, M., Kuck, M., & Freitag, M. (2018). Solving the job-shop scheduling problem in the industry 4.0 era. Technologies, 6(4), 107.
DOI
|
24 |
Park, H. Y. (2021). The association between fair hiring policy and employee job satisfaction: theoretical approach in the literature analysis. East Asian Journal of Business Economics, 9(2), 43-54.
DOI
|
25 |
Wamba, S. F., & Mishra, D. (2017). Big data integration with business processes: a literature review. Business Process Management Journal, 23(3), 1-16.
|
26 |
Jin, D. H., & Kim, H. J. (2018). Integrated understanding of big data, big data analysis, and business intelligence: a case study of logistics. Sustainability, 10(10), 3778.
DOI
|
27 |
Alsghaier, H., Akour, M., Shehabat, I., & Aldiabat, S. (2017). The importance of big data analytics in business: a case study. American Journal of Software Engineering and Applications, 6(4), 111-115.
DOI
|
28 |
Bondar, K. (2018). Challenges and opportunities of Industry 4.0: Spanish experience. International Journal of Innovation, Management and Technology, 9(5), 202-209.
DOI
|
29 |
Calic, G., & Ghasemaghaei, M. (2021). Big data for social benefits: Innovation as a mediator of the relationship between big data and corporate social performance. Journal of Business Research, 131(July), 391-401.
DOI
|
30 |
Kohnova, L., Papula, J., & Salajova, N. (2019). Internal factors supporting business and technological transformation in the context of Industry 4.0. Business: Theory and practice, 20(1), 137-145.
DOI
|
31 |
Liu, Z., Xie, K., Li, L., & Chen, Y. (2020). A paradigm of safety management in industry 4.0. Systems Research and Behavioral Science, 37(4), 632-645.
DOI
|
32 |
Oltra-Mestre, M. J., Hargaden, V., Coughlan, P., & Segura-Garcia del Rio, B. (2021). Innovation in the Agri-Food sector: exploiting opportunities for Industry 4.0. Creativity and Innovation Management, 30(1), 198-210.
DOI
|
33 |
Ram, J., Zhang, C., & Koronios, A. (2016). The implications of big data analytics on business intelligence: A qualitative study in China. Procedia Computer Science, 87, 221-226.
DOI
|
34 |
Kagermann, H. (2015). Change through digitization-Value creation in the age of Industry 4.0. In Management of permanent change (pp. 23-45). Wiesbaden: Springer Gabler.
|
35 |
Kang, E. (2021). Qualitative content approach: impact of organizational climate on employee capability. East Asian Journal of Business Economics, 9(4), 57-67.
DOI
|
36 |
Kamp, B., Ochoa, A., & Diaz, J. (2017). Smart servitization within the context of industrial user-supplier relationships: contingencies according to a machine tool manufacturer. International Journal on Interactive Design and Manufacturing (IJIDeM), 11(3), 651-663.
DOI
|
37 |
LaValle, S., Lesser, E., Shockley, R., Hopkins, M. S., & Kruschwitz, N. (2011). Big data, analytics and the path from insights to value. MIT sloan management review, 52(2), 21-32.
|
38 |
Marashi, P. S., & Hamidi, H. (2018). Business challenges of big data application in health organization. In Competitiveness in emerging markets (pp. 569-584). Cham: Springer.
|
39 |
McAfee, A., Brynjolfsson, E., Davenport, T. H., Patil, D. J., & Barton, D. (2012). Big data: the management revolution. Harvard business review, 90(10), 60-68.
|
40 |
Otles, S., & Sakalli, A. (2019). Industry 4.0: The smart factory of the future in beverage industry. In Production and Management of Beverages (pp. 439-469). Woodhead Publishing.
|
41 |
Schroeder, R. (2016). Big data business models: Challenges and opportunities. Cogent Social Sciences, 2(1), 1166924.
DOI
|
42 |
Shayganmehr, M., Kumar, A., Garza-Reyes, J. A., & Moktadir, M. A. (2021). Industry 4.0 enablers for a cleaner production and circular economy within the context of business ethics: a study in a developing country. Journal of Cleaner Production, 281(January), 125280.
DOI
|