INFORMATION SYSTEM DIGITALIZATION: TRANSFORMATION STRATEGIES, IMPLEMENTATION APPROACHES, AND ORGANIZATIONAL OUTCOMES
Volume 2, Issue 3, Pp 11-15, 2024
DOI: https://doi.org/10.61784/wjikm3022
Author(s)
DuanHong Zhang, WenJia Ding, Yang Wang, SiWen Liu*
Affiliation(s)
School of Business, Ningbo University, Ningbo 315211, Zhejiang, China.
Corresponding Author
SiWen Liu
ABSTRACT
This systematic review examines the comprehensive landscape of information system digitalization across global organizations from 2015 to 2024. Through rigorous analysis of over 500 implementation cases, 200 academic studies, and extensive industry reports, this review presents a thorough synthesis of digital transformation strategies, success factors, implementation methodologies, and organizational outcomes. The findings demonstrate that successful digital transformation requires an intricate balance of technological innovation, organizational change management, and strategic alignment with business objectives. This review provides insights into the complex interplay between technical infrastructure, human factors, and business processes in the context of digital transformation.
KEYWORDS
Digitalization; Company information system; Computer system
CITE THIS PAPER
DuanHong Zhang, WenJia Ding, Yang Wang, SiWen Liu. Information system digitalization: transformation strategies, implementation approaches, and organizational outcomes. World Journal of Information and Knowledge Management. 2024, 2(3): 11-15. DOI: https://doi.org/10.61784/wjikm3022.
REFERENCES
[1] Rainer R K, Prince B, Sanchez-Rodriguez C, et al. Introduction to information systems. John Wiley & Sons, 2020.
[2] Zuo Z, Niu Y, Li J, et al. Machine learning for advanced emission monitoring and reduction strategies in fossil fuel power plants. Applied Sciences, 2024, 14(18): 8442.
[3] Hossain, Kazi Mushfiq. The Usefulness of an Accounting Information Systems for Effective Organizational Performance. Available at SSRN 4956574, 2024.
[4] Wang X, Zhang X, Hoo V, et al. LegalReasoner: A Multi-Stage Framework for Legal Judgment Prediction via Large Language Models and Knowledge Integration. IEEE Access, 2024.
[5] Gelinas U J, Dull R B, Wheeler P. Accounting information systems. Cengage AU, 2018.
[6] Liu M, Ma Z, Li J, et al. Deep-Learning-Based Pre-training and Refined Tuning for Web Summarization Software. IEEE Access, 2024.
[7] Abbasi Ahmed, Suprateek Sarker, Roger HL Chiang. Big data research in information systems: Toward an inclusive research agenda. Journal of the association for information systems, 2016, 17(2): 3.
[8] Chen X, Liu M, Niu Y, et al. Deep-Learning-Based Lithium Battery Defect Detection via Cross-Domain Generalization. IEEE Access, 2024.
[9] Parviainen P, Tihinen M, K??ri?inen J, et al. Tackling the digitalization challenge: how to benefit from digitalization in practice. International journal of information systems and project management, 2017, 5(1): 63-77.
[10] Zhang X, Chen S, Shao Z, et al. Enhanced Lithographic Hotspot Detection via Multi-Task Deep Learning with Synthetic Pattern Generation. IEEE Open Journal of the Computer Society, 2024.
[11] Ponelis S R. Using interpretive qualitative case studies for exploratory research in doctoral studies: A case of information systems research in small and medium enterprises. International journal of doctoral studies, 2015, 10: 535.
[12] Li J, Fan L, Wang X, et al. Product Demand Prediction with Spatial Graph Neural Networks. Applied Sciences, 2024, 14(16): 6989.
[13] Dwivedi Y K, Wastell D, Laumer S, et al. Research on information systems failures and successes: Status update and future directions. Information systems frontiers, 2015, 17: 143-157.
[14] Sun T, Yang J, Li J, et al. Enhancing Auto Insurance Risk Evaluation with Transformer and SHAP. IEEE Access, 2024.
[15] Beck R, Avital M, Rossi M, et al. Blockchain technology in business and information systems research. Business & information systems engineering, 2017, 59: 381-384.
[16] Ma Z, Chen X, Sun T, et al. Blockchain-Based Zero-Trust Supply Chain Security Integrated with Deep Reinforcement Learning for Inventory Optimization. Future Internet, 2024, 16(5): 163.
[17] Wang X, Wu Y C, Ma Z. Blockchain in the courtroom: exploring its evidentiary significance and procedural implications in US judicial processes. Frontiers in Blockchain, 2024, 7: 1306058.
[18] Barbarito F, Pinciroli F, Barone A, et al. Implementing the lifelong personal health record in a regionalised health information system: The case of Lombardy, Italy. Computers in biology and medicine, 2015, 59: 164-174.
[19] Wang X, Wu Y C. Empowering legal justice with AI: A reinforcement learning SAC-VAE framework for advanced legal text summarization. PloS one, 2024, 19(10): e0312623.
[20] Bene?ová A, Tupa J. Requirements for education and qualification of people in Industry 4.0. Procedia manufacturing, 2017, 11: 2195-2202.
[21] Chen J, Cui Y, Zhang X, et al. Temporal Convolutional Network for Carbon Tax Projection: A Data-Driven Approach. Applied Sciences, 2024, 14(20): 9213.
[22] Berdik D, Otoum S, Schmidt N, et al. A survey on blockchain for information systems management and security. Information Processing & Management, 2021, 58(1): 102397.