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Contact UsTechnologies applied to information control in organizations: A review
DOI:
https://doi.org/10.47909/dtr.02Keywords:
Information technologies, organizations, decision-making, information management, information controlAbstract
In the contemporary global market, organizations face intense competition requiring the deployment of information technology (IT) for effective decision-making and to maintain market presence. This review article emphasizes the crucial role of information technologies in organizational decision-making processes. It outlines the evolution of data management tools, especially in the context of dynamic and contingent data management, and explores the adoption and implementation of technologies for information control within organizations. By analyzing various methodologies and results from existing research, the article illustrates the increasing reliance on IT to enhance organizational processes, decision-making, and overall competitiveness. Furthermore, it delves into the systematic review approach to understand the significance and application of information management technologies in organizational contexts, offering insights for entrepreneurs and academics. The review concludes with the assertion that proper information management through technology is vital for organizations to remain competitive in the ever-changing market landscape.
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Altmann, B. A., Anders, S., Risius, A., & Mörlein, D. (2022). Information effects on consumer preferences for alternative animal feedstuffs. Food Policy, 106, 102192. https://doi.org/10.1016/J.FOODPOL.2021.102192 DOI: https://doi.org/10.1016/j.foodpol.2021.102192
Annie Rose Nirmala, D., Kannan, V., Thanalakshmi, M., Joe Patrick Gnanaraj, S., & Appadurai, M. (2022). Inventory management and control system using ABC and VED analysis. Mate-rials Today: Proceedings, 60, 922–925. https://doi.org/10.1016/J.MATPR.2021.10.315 DOI: https://doi.org/10.1016/j.matpr.2021.10.315
Barratt, M., Kull, T. J., & Sodero, A. C. (2018). Inventory record inaccuracy dynamics and the role of employees within multi-channel distribution center inventory systems. Journal of Opera-tions Management, 63, 6–24. https://doi.org/10.1016/J.JOM.2018.09.003 DOI: https://doi.org/10.1016/j.jom.2018.09.003
Chong, S. W., Lin, T. J., & Chen, Y. (2022). A methodological review of systematic literature re-views in higher education: Heterogeneity and homogeneity. Educational Research Review, 35, 100426. https://doi.org/10.1016/J.EDUREV.2021.100426 DOI: https://doi.org/10.1016/j.edurev.2021.100426
Edwards, J. S. (2022). Where knowledge management and information management meet: Re-search directions. International Journal of Information Management, 63, 102458. https://doi.org/10.1016/J.IJINFOMGT.2021.102458 DOI: https://doi.org/10.1016/j.ijinfomgt.2021.102458
Farschtschi, S., Riedmaier-Sprenzel, I., Phomvisith, O., Gotoh, T., & Pfaffl, M. W. (2022). The successful use of -omic technologies to achieve the ‘One Health’ concept in meat producing animals. Meat Science, 193, 108949. https://doi.org/10.1016/J.MEATSCI.2022.108949 DOI: https://doi.org/10.1016/j.meatsci.2022.108949
Kara, A. (2021). Multi-step influenza outbreak forecasting using deep LSTM network and genetic algorithm. Expert Systems with Applications, 180, 115153. https://doi.org/10.1016/J.ESWA.2021.115153 DOI: https://doi.org/10.1016/j.eswa.2021.115153
Li, B., Li, Z., & Yang, Y. (2021). Residual attention graph convolutional network for web services classification. Neurocomputing, 440, 45–57. https://doi.org/10.1016/J.NEUCOM.2021.01.089 DOI: https://doi.org/10.1016/j.neucom.2021.01.089
Liu, X. X., & Chen, Z. Y. (2022). Service quality evaluation and service improvement using online reviews: A framework combining deep learning with a hierarchical service quality model. Electronic Commerce Research and Applications, 54, 101174. https://doi.org/10.1016/J.ELERAP.2022.101174 DOI: https://doi.org/10.1016/j.elerap.2022.101174
Lukinskiy, V., Lukinskiy, V., Ivanov, D., Sokolov, B., & Bazhina, D. (2022). A probabilistic ap-proach to information management of order fulfilment reliability with the help of perfect-order analytics. International Journal of Information Management, 102567. https://doi.org/10.1016/J.IJINFOMGT.2022.102567 DOI: https://doi.org/10.1016/j.ijinfomgt.2022.102567
Mengcheng, L., & Tuure, T. (2022). Information Technology–Supported value Co-Creation and Co-Destruction via social interaction and resource integration in service systems. The Jour-nal of Strategic Information Systems, 31(2), 101719. https://doi.org/10.1016/J.JSIS.2022.101719 DOI: https://doi.org/10.1016/j.jsis.2022.101719
Nayeri, M. R., Araabi, B. N., Yazdanpanah, M., & Moshiri, B. (2022). Design, implementation and evaluation of an expert system for operating regime detection in industrial gas turbine. Ex-pert Systems with Applications, 203, 117332. https://doi.org/10.1016/J.ESWA.2022.117332 DOI: https://doi.org/10.1016/j.eswa.2022.117332
Nazir, S., & Kaleem, M. (2021). Advances in image acquisition and processing technologies trans-forming animal ecological studies. Ecological Informatics, 61, 101212. https://doi.org/10.1016/J.ECOINF.2021.101212 DOI: https://doi.org/10.1016/j.ecoinf.2021.101212
Ng, C. B. R., Bil, C., Sardina, S., & O’bree, T. (2022). Designing an expert system to support avia-tion occurrence investigations. Expert Systems with Applications, 207, 117994. https://doi.org/10.1016/J.ESWA.2022.117994 DOI: https://doi.org/10.1016/j.eswa.2022.117994
Pérez-Reyes, R., & Tovar, B. (2020). Explaining the inefficiency of electrical distribution compa-nies: Peruvian firms. Energy Economics, 32(5), 1175–1181. https://doi.org/10.1016/J.ENECO.2010.02.002 DOI: https://doi.org/10.1016/j.eneco.2010.02.002
Sambhara, C. (2020). Information Management Challenges and the Adverse Consequences of Using Reverse Auctions. Information & Management, 57(8), 103363. https://doi.org/10.1016/J.IM.2020.103363 DOI: https://doi.org/10.1016/j.im.2020.103363
Sghaier, S., Asiamah, N., Danquah, E., Opuni, F. F., & Hatsu, S. (2022). Information technology ability mediates the association between older adults’ subjective age and social activity: A STROBE-compliant cross-sectional analysis. Archives of Gerontology and Geriatrics, 103, 104790. https://doi.org/10.1016/J.ARCHGER.2022.104790 DOI: https://doi.org/10.1016/j.archger.2022.104790
Tang, B., Yan, M., Zhang, N., Xu, L., Zhang, X., & Ren, H. (2021). Co-attentive representation learning for web services classification. Expert Systems with Applications, 180, 115070. https://doi.org/10.1016/J.ESWA.2021.115070 DOI: https://doi.org/10.1016/j.eswa.2021.115070
Walek, B., & Fajmon, P. (2023). A hybrid recommender system for an online store using a fuzzy expert system. Expert Systems with Applications, 212, 118565. https://doi.org/10.1016/J.ESWA.2022.118565 DOI: https://doi.org/10.1016/j.eswa.2022.118565
Zraková, D., Kubina, M., & Koman, G. (2017). Influence of Information-communication System to Reputation Management of a Company. Procedia Engineering, 192, 1000–1005. https://doi.org/10.1016/J.PROENG.2017.06.172 DOI: https://doi.org/10.1016/j.proeng.2017.06.172
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