Journal of Information Systems Engineering and Management

Journal of Information Systems Engineering and Management, 2023 - Volume 8 Issue 3, Article No: 22323
https://doi.org/10.55267/iadt.07.13613

Published Online: 24 Aug 2023

Views: 282 | Downloads: 254

The context of education has changed dramatically as a result of the information and communication technology (ICT) revolution, particularly as it relates to online learning. In order to better understand how innovation management is impacted by ICT usage and online education in China's higher education institutions, this study will look at how both micro and macro-level elements play a significant influence. The study uses a quantitative, cross-sectional methodology to collect information from 390 individuals from both public and private universities. The study aims to comprehend how faculty members, students, and educational administrators view the use and integration of ICT tools and online learning platforms through a standardized survey questionnaire. The collected data were subjected to statistical analysis using SPSS (Statistical Package for the Social Sciences) software. The findings reveal significant insights into the interplay of various factors affecting innovation management in the rapidly evolving landscape of online education and ICT adoption in China's higher education institutions. The purpose of the study is to gain an important understanding of the intricate relationships between micro and macro-level variables and how these interactions affect innovation management in online learning and ICT usage in China. The study's conclusions are anticipated to provide policymakers, university leaders, and educators with useful counsel for fostering an atmosphere that is supportive of technological integration and cutting-edge practices in higher education. A wide range of participants from both public and private universities are included in the study's scope, guaranteeing a complete representation of the higher education environment in China.

Online Education ICT Adoption Innovation Management SPSS

• Al-Rahmi, W. M., Yahaya, N., Alamri, M. M., Alyoussef, I. Y., Al-Rahmi, A. M., & Kamin, Y. Bin. (2021). Integrating innovation diffusion theory with technology acceptance model: supporting students’ attitude towards using a massive open online courses (MOOCs) systems. Interactive Learning Environments, 29(8), 1380-1392. https://doi.org/10.1080/10494820.2019.1629599
• Appio, F. P., Frattini, F., Petruzzelli, A. M., & Neirotti, P. (2021). Digital Transformation and Innovation Management: A Synthesis of Existing Research and an Agenda for Future Studies. Journal of Product Innovation Management, 38(1), 4-20. https://doi.org/10.1111/jpim.12562
• Bunjak, A., Bruch, H., & Černe, M. (2022). Context is key: The joint roles of transformational and shared leadership and management innovation in predicting employee IT innovation adoption. International Journal of Information Management, 66, 102516. https://doi.org/10.1016/j.ijinfomgt.2022.102516
• Chan, C. K., Fang, Y., & Li, H. (2020). Relative advantage of interactive electronic banking adoption by premium customers: The moderating role of social capital. Internet Research, 30(2), 357-379. https://doi.org/10.1108/INTR-06-2018-0280
• Cuevas-Vargas, H., Parga-Montoya, N., & Fernández-Escobedo, R. (2021). The adoption of ICT as an enabler of frugal innovation to achieve customer satisfaction. The mediating effect of frugal innovation. Procedia Computer Science, 199, 198-206. https://doi.org/10.1016/j.procs.2022.01.025
• Elahi, E., Khalid, Z., Tauni, M. Z., Zhang, H., & Lirong, X. (2022). Extreme weather events risk to crop-production and the adaptation of innovative management strategies to mitigate the risk: A retrospective survey of rural Punjab, Pakistan. Technovation, 117, 102255. https://doi.org/10.1016/j.technovation.2021.102255
• Eze, S. C., Olatunji, S., Chinedu-Eze, V. C., Bello, A. O., Ayeni, A., & Peter, F. (2019). Determinants of perceived information need for emerging ICT adoption: A study of UK small service businesses. Bottom Line, 32(2), 158-183. https://doi.org/10.1108/BL-01-2019-0059
• Fisher, O. (2021). The impact of micro and macro level factors on the working and living conditions of migrant care workers in Italy and Israel-a scoping review. International Journal of Environmental Research and Public Health, 18(2), 1-33. https://doi.org/10.3390/ijerph18020420
• George, G., Lakhani, K. R., & Puranam, P. (2020). What has changed? The Impact of Covid Pandemic on the Technology and Innovation Management Research Agenda. Journal of Management Studies, 57(8), 1754-1758. https://doi.org/10.1111/joms.12634
• Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York: Guilford publications.
• Hesham, E., Gadelrab, M. S., ElSayed, K., & Sallam, A. R. (2021). Modelling Multilayer Communication Channel in Terahertz Band for Medical Applications. International Journal of Communication Networks and Information Security, 13(3), 358-365. https://doi.org/10.17762/ijcnis.v13i3.5041
• Jawabreh, O. (2020). Innovation management in hotels industry in aqaba special economic zone authority; hotel classification and administration as a moderator. Geojournal of Tourism and Geosites, 32(4), 1362-1369. https://doi.org/10.30892/GTG.32425-581
• Jia, Q., Lei, Y., Guo, Y., & Li, X. (2022). Leveraging enterprise social network technology: understanding the roles of compatibility and intrinsic motivation. Journal of Enterprise Information Management, 35(6), 1764-1788. https://doi.org/10.1108/JEIM-05-2021-0225
• Kassim, A. A. M., Zhang, K., Yang , Y., & Guo , Y. (2023). Research on the Influence Factors of ESG Performance on Corporate Value Based on Digital Information Technology. International Journal of Communication Networks and Information Security (IJCNIS), 15(3), 125-136. https://doi.org/10.17762/ijcnis.v15i2.6008
• Kerdpitak, C. (2022). The effects of innovative management, digital marketing, service quality and supply chain management on performance in cultural tourism business. Uncertain Supply Chain Management, 10(3), 771-778. https://doi.org/10.5267/j.uscm.2022.4.005
• Khayer, A., Talukder, M. S., Bao, Y., & Hossain, M. N. (2020). Cloud computing adoption and its impact on SMEs’ performance for cloud supported operations: A dual-stage analytical approach. Technology in Society, 60, 101225. https://doi.org/10.1016/j.techsoc.2019.101225
• Liu, Z. (2021). The impact of government policy on macro dynamic innovation of the creative industries: Studies of the uk’s and china’s animation sectors. Journal of Open Innovation: Technology, Market, and Complexity, 7(3). https://doi.org/10.3390/joitmc7030168
• Luan, X., Zhang, L. J., Li, X. Q., Rahman, K., Zhang, H., Chen, H. Z., & Zhang, W. D. (2020). Compound-based Chinese medicine formula: From discovery to compatibility mechanism. Journal of Ethnopharmacology, 254, 112687. https://doi.org/10.1016/j.jep.2020.112687
• Lu, W., & Sun, X. (2023). Research on Internet Technology Innovation and Information Security Challenges in New Vehicle Energy Sector. International Journal of Communication Networks and Information Security (IJCNIS), 15(3), 86-98. https://doi.org/10.17762/ijcnis.v15i3.6228
• Menéndez Álvarez-Dardet, S., Lorence Lara, B., & Pérez-Padilla, J. (2020). Older adults and ICT adoption: Analysis of the use and attitudes toward computers in elderly Spanish people. Computers in Human Behavior, 110, 106377. https://doi.org/10.1016/j.chb.2020.106377
• Mihardjo, L. W. W., Sasmoko, Alamsyah, F., & Elidjen. (2019). The influence of digital leadership on innovation management based on dynamic capability: Market orientation as a moderator. Management Science Letters, 9(7), 1059-1070. https://doi.org/10.5267/j.msl.2019.3.018
• Min, S., So, K. K. F., & Jeong, M. (2019). Consumer adoption of the Uber mobile application: Insights from diffusion of innovation theory and technology acceptance model. Journal of Travel and Tourism Marketing, 36(7), 770-783. https://doi.org/10.1080/10548408.2018.1507866
• Moshood, T. D., Nawanir, G., Sorooshian, S., Mahmud, F., & Adeleke, A. Q. (2020). Barriers and benefits of ICT adoption in the Nigerian construction industry. A comprehensive literature review. Applied System Innovation, 3(4), 1-19. https://doi.org/10.3390/asi3040046
• Naaldenberg, J., & Aarts, N. (2020). The compatibility of reductionistic and complexity approaches in a sociomedical innovation perspective. BMJ Global Health, 5(12). https://doi.org/10.1136/bmjgh-2020-003858
• Nayahangan, L. J., Konge, L., Russell, L., & Andersen, S. (2021). Training and education of healthcare workers during viral epidemics: A systematic review. BMJ Open, 11(5). https://doi.org/10.1136/bmjopen-2020-044111
• Olugbara, C. T., Imenda, S. N., Olugbara, O. O., & Khuzwayo, H. B. (2020). Moderating effect of innovation consciousness and quality consciousness on intention-behaviour relationship in E-learning integration. Education and Information Technologies, 25(1), 329-350. https://doi.org/10.1007/s10639-019-09960-w
• Pei, E., Monzón, M., & Bernard, A. (2018). Additive manufacturing - Developments in training and education. In Additive Manufacturing - Developments in Training and Education. https://doi.org/10.1007/978-3-319-76084-1
• Pundziene, A., Nikou, S., & Bouwman, H. (2021). The nexus between dynamic capabilities and competitive firm performance: the mediating role of open innovation. European Journal of Innovation Management, 25(6), 152-177. https://doi.org/10.1108/EJIM-09-2020-0356
• Purwanto, A., Asbari, M., & Santoso, T. I. (2021). Analisis Data Penelitian Sosial dan Manajemen: Perbandingan Hasil antara Amos, SmartPLS, WarpPLS, dan SPSS Untuk Jumlah Sampel Medium. International Journal Of Social And Management Studies (IJOSMAS), 2(04), 43-53. Retrieved from https://www.ijosmas.org/index.php/ijosmas/article/view/50
• Rondi, E., Überbacher, R., Schlenk-barnsdorf, L. Von, Massis, A. De, & Hülsbeck, M. (2022). Journal of Family Business Strategy One for all , all for one : A mutual gains perspective on HRM and innovation management practices in family firms. Journal of Family Business Strategy, 13(2), 100394. https://doi.org/10.1016/j.jfbs.2020.100394
• Shahzad, F., Xiu, G. Y., Khan, I., Shahbaz, M., Riaz, M. U., & Abbas, A. (2020). The moderating role of intrinsic motivation in cloud computing adoption in online education in a developing country: a structural equation model. Asia Pacific Education Review, 21(1), 121-141. https://doi.org/10.1007/s12564-019-09611-2
• Shirowzhan, S., Sepasgozar, S. M. E., Edwards, D. J., Li, H., & Wang, C. (2020). BIM compatibility and its differentiation with interoperability challenges as an innovation factor. Automation in Construction, 112, 103086. https://doi.org/10.1016/j.autcon.2020.103086
• Stephan, U., Andries, P., & Daou, A. (2019). Goal Multiplicity and Innovation: How Social and Economic Goals Affect Open Innovation and Innovation Performance. Journal of Product Innovation Management, 36(6), 721-743. https://doi.org/10.1111/jpim.12511
• Stockemer, D. (2018). Quantitative Methods for the Social Sciences: A Practical Introduction with Examples in SPSS and Stata. https://doi.org/10.1007/978-3-319-99118-4
• Tawafak, R. M., Romli, A. B. T., Arshah, R. bin A., & Malik, S. I. (2020). Framework design of university communication model (UCOM) to enhance continuous intentions in teaching and e-learning process. Education and Information Technologies, 25(2), 817-843. https://doi.org/10.1007/s10639-019-09984-2
• Walters, G. D. (2023). Moderating the Criminal Thinking-Delinquency Relationship with a Free Market Cultural Ethos: Integrating Micro- and Macro-Level Concepts in Criminology. European Journal on Criminal Policy and Research, 29(1), 127-145. https://doi.org/10.1007/s10610-021-09480-9
• Wang, Y. (2022). Music education: Which is more effective - Traditional learning or the introduction of modern technologies to increase student motivation? Learning and Motivation, 77, 101783. https://doi.org/10.1016/j.lmot.2022.101783
• 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, 1-19. https://doi.org/10.1016/j.ijinfomgt.2019.08.005
• Wongwatkit, C., Panjaburee, P., Srisawasdi, N., & Seprum, P. (2020). Moderating effects of gender differences on the relationships between perceived learning support, intention to use, and learning performance in a personalized e-learning. Journal of Computers in Education, 7(2), 229-255. https://doi.org/10.1007/s40692-020-00154-9
• Yenipazarli, A. (2019). Incentives for environmental research and development: Consumer preferences, competitive pressure and emissions taxation. European Journal of Operational Research, 276(2), 757-769. https://doi.org/10.1016/j.ejor.2019.01.037
• Yuen, K. F., Cai, L., Qi, G., & Wang, X. (2021). Factors influencing autonomous vehicle adoption: an application of the technology acceptance model and innovation diffusion theory. Technology Analysis and Strategic Management, 33(5), 505-519. https://doi.org/10.1080/09537325.2020.1826423
• Yuen, K. F., Wong, Y. D., Ma, F., & Wang, X. (2020). The determinants of public acceptance of autonomous vehicles: An innovation diffusion perspective. Journal of Cleaner Production, 270, 121904. https://doi.org/10.1016/j.jclepro.2020.121904
• Zhu, Z., Ma, W., & Leng, C. (2022). ICT Adoption, Individual Income and Psychological Health of Rural Farmers in China. Applied Research in Quality of Life, 17(1), 71-91. https://doi.org/10.1007/s11482-020-09879-2

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