Lifecycle Information Systems: the concept, principles and an approach
DOI:
https://doi.org/10.5753/isys.2018.370Keywords:
information systems, life-cycle information;, cloud computingAbstract
The aim of this article is to introduce the concept of lifecycle information systems (LCISs), in which the main purpose is to permit the development of ISs capable of supporting the management of information of an entity during its whole lifecycle. In order to validate this concept, we outline the MyHistory which consists in an experimental IS structured in four different contexts, supporting the information management of persons during their lifecycle. As the main contribution, this article introduces a new approach for the development of ISs which can improve the current way of information management of entities.
Downloads
References
Abraham, C., Junglas, I., Watson, R. T., & Boudreau, M. C. (2006). Explaining the unexpected and continued use of an information system with the help of evolved evolutionary mechanisms. Journal of the Association for Information Science and Technology, 67(1), 212-231. doi: https://doi.org/10.1002/asi.23344; [GSSEARCH]
Arvidsson, V., Holmstrom, J., & Lyytinen, K. (2015). Information systems use as strategy practice: a multi-dimensional view of strategic information systems implementation ad use. Journal of Strategic Information Systems, 23, 45-61.
doi: https://doi.org/10.1016/j.jsis.2014.01.004; [GSSEARCH]
Bayramusta, M., & Nasir, V. A. (2016). A fado or future of IT? A comprehensive literature review on the cloud computing research. International Journal of Information Management, 36, 635-644. doi: https://doi.org/10.1016/j.ijinfomgt.2016.04.006; [GSSEARCH]
Berman, B. (2016). Planning and implementing effective mobile marketing programs. Business Horizons, 59, 431-439. doi: https://doi.org/10.1016/j.bushor.2016.03.006; [GSSEARH]
Chatterjee, S., Sarker, S., & Siponen, M. (2017). How do mobile ICTs enable organizational fluidity: toward a theoretical framework. Information and Management, 34, 1-13. doi: https://doi.org/10.1016/j.im.2016.03.007; [GSSEARCH]
Chao, R. O.; Kavadias, S. (2008). A theoretical framework for managing the new product development portfolio: when and how to use strategic buckets. Management Science, 54(5), 907-921. https://doi.org/10.1287/mnsc.1070.0828; [GSSEARCH].
Constantinescu, L., Kim, J., & Feng, D. (2012). SparkMed: A Framework for Dynamic Integration of Multimedia Medical Data into Distributed m-Health Systems. IEEE Transactions on Information Technology in Biomedicine 16(1), 40–52.
doi: https://doi.org/10.1109/TITB.2011.2174064; [GSSEARCH]
Chatterjee, S.; Sarker, S.; Siponen, M. (2017). How do mobile ICTs enable organizational fluidity: toward a theoretical framework. Information and Management, 34, 1-13. https://doi.org/10.1016/j.im.2016.03.007; [GSSEARCH].
Domingo, M. C. (2012). An Overview of the Internet of Things for People with Disabilities. Journal of Network and Computer Applications 35(2), 584–596. doi: https://doi.org/10.1016/j.jnca.2011.10.015; [GSSEARCH]
Dobbins, C., Madjid, M., Fergus, P., & Llewellyin-Jones, D. (2014). Creating human digital memories with the aid of pervasive mobile devices. Pervasive and Mobile Computing, 12, 160-178. doi: https://doi.org/10.1016/j.pmcj.2013.10.009; [GSSEARCH]
Dunn Jr., Cobb,J., Levey, A. I., & Gutman, D. A. (2016). Redletr: workflow and tools to support the migration of legacy clinical data capture systems to REDCap. International Journal of Medical Informatics, 93, 103-110. doi: https://doi.org/10.1016/j.ijmedinf.2016.06.015; [GSSEARH]
Ding, J. H., Chien, H. R. S., Lin Y.; Kuo, C., Hsu, C., & Chung, Y. (2014). A framework of cloud-based virtual phones for secure intelligent information management. International Journal of Information Management, 34, 329-335.
doi: https://doi.org/10.1016/j.ijinfomgt.2013.11.006; [GSSEARCH]
Ferreira, F., Faria, J., Azevedo, A., & Marques, A. L. (2017). Product lifecycle in knowledge intensive collaborative environments: an application to automobile industry. International Journal of Information Management, 37, 1474-1487. doi: https://doi.org/10.1016/j.ijinfomgt.2016.05.006; [GSSEARH]
Einsenhardt, K. M. (1989). Building theories from case study research. The Academy of Management Review, 14(4), 532-550. https://doi.org/10.5465/AMR.1989.4308385; [GSSEARCH].
Erfani, M.; Zandi, M.; Rilling, J.; Keivanloo, I. (2016) Context-awareness in the software domain: a semantic web enabled modeling approach. The Journal of System and Software, 121, 345-357. https://doi.org/10.1016/j.jss.2016.02.023; [GSSEARCH]
Flett, A. (2012). Information Management Possible? Why is information management so difficult? Business Information Review, 29,111-120. doi: https://doi.org/10.1177/0266382111411066; [GSSEARCH]
Fu, G. (2016). FCA based ontology development for data integration. Information Processing and Management, 52, 765-782. doi: https://doi.org/10.1016/j.ipm.2016.02.003;
[GSSEARCH]
Guldenpfenning, F., & Fitzpatrick, G. (2015). Personal digital archives on mobile phones with MEO. Personal Ubiquitous Computing, 19, 445-461. https://doi.org/10.1007/s0077; [GSSEARCH]
Hashem, I. A. T., Chang, V., Anuar, N. B., Adewole, K.; Yaqoob, I., Gani, A., Ahmed, E., & Chiroma, H. (2016). The role of big data in smart city. International Journal of Information Management, 36, 748-758. [GSSEARCH]. doi: https://doi.org/10.1016/j.ijinfomgt.2016.05.002.
Hedberg, Jr., T. Feeney, A. B., Helu, M., & Camelio, J. A. (2017). Toward a lifecycle information framework and technology in manufacturing. Journal Computing and Information Science in Engineering, 17(2), 1-13. doi: https://doi.org/10.1115/1.4034132. [GSSEARCH]
Hullavarad, S., O’Hare, R., & Roy, A. K. (2015). Enterprise content management solutions – roadmap strategy and implementation challenges. International Journal of Information Management, 35, 260-265. doi: https://doi.org/10.1016/j.ijinfomgt.2014.12.008;
[GSSEARCH].
Ing. D. W., Jagstaidt, U. C. C., Kossahl, J., & Kolbe, L. M. (2011). Smart metering information management. Business Information Systems Engineering, 3(5), 323-326.
[GSSEARCH]
Kauxhik, A., & Raman, A. (2015). The new data-driven enterprise architecture for e-halthcare: lesson from the indian public sector. Government Information Quarterly, 32, 63-74. doi: https://doi.org/10.1016/j.giq.2014.11.002; [GSSEARCH]
Kee-Hung, L., Wong, C. W. Y., & Cheng, T. C. E. (2008). A coordination-theoretic investigation of the impact of electronic integration on logistics performance. Information & Management, 45(1), 10-20.
doi: https://doi.org/10.1016/j.im.2007.05.007; [GSSEARCH]
Klasnja, P., & Pratt, W., (2012). Healthcare in the Pocket: Mapping the Space of Mobile-Phone Health Interventions. Journal of Biomedical Informatics 45(1), 184–198.
doi: https://doi.org/10.1016/j.jbi.2011.08.017; [GSSEARCH]
Kim, T.-W., & H.-C. Kim. (2012). A Healthcare System as a Service in the Context of Vital Signs: Proposing a Framework for Realizing a Model. Computers & Mathematics with Applications, 64 (5), 1324–1332.
https://doi.org/10.1016/j.camwa.2012.03.076; [GSSEARCH]
Li, L., Xu, L, Jeng, H. A. & Naik, D., Allen, T., & Frontini, M. (2008). Creation of Environmental Health Information System for Public Health Service: A Pilot Study. Information Systems Frontiers 10 (5), 531–543. doi: https://doi.org/10.1007/s10796-008-9108-1; [GSSEARCH].
Koch, C. (2001). BPR and ERP: realizing a vision of process with IT. Business Process Management Journal, 7(3), .258-265. https://doi.org/10.1108/14637150110392755; [GSSEARCH]
Maass, W., & Varshney, U. (2012). Design and evaluation of ubiquitous Information Systems and Use in healthcare. Decision Support Systems, 54, 597-609. https://doi.org/10.1016/j.dss.2012.08.007; [GSSEARCH].
Marnewick, C., & Labuschangne, L., (2005). A conceptual model for enterprise resource planning (ERP), Information Management & Computer Security, 13(2), 144–155. https://doi.org/10.1108/09685220510589325; [GSSEARCH]
Newman, R., Chang, V., Walters, R. J., & Wills, G. B. (2016). Web 2.0 – The past and the future. International Journal of Information Management, 36, 591-598. https://doi.org/10.1016/j.ijinfomgt.2016.03.010; [GSSEARCH]
Pang, Z., Zheng, L., Tian, J., Kao-Walter, S., Dubrova, E., & Chen, Q. (2015). Design of terminal solution for integration of in-home health care devices and services towards the internet of things. Enterprise Information Systems, 9(1), 86-116. https://doi.org/10.1080/17517575.2013.776118; [GSSEARCH];
Sammon, D., & Adam, F. (2005). Towards a model of organizational prerequisites for enterprise‐wide systems integration: Examining ERP and data warehousing, Journal of Enterprise Information Management, 18(4), 458-470.
https://doi.org/10.1108/17410390510609608; [GSSEARCH]
Sinderen, M., & Almeida, J. P. A. (2011). Empowering Enterprises through Next-Generation Enterprise Computing. Enterprise Information Systems 5 (1), 1–8. https://doi.org/10.1080/17517575.2010.528802; [GSSEARCH]
Sultan, N. (2015). Reflective thoughts on the potential and challenges of wearable technology for healthcare provision and medical education. International Journal of Information Management, 35, 521-526. https://doi.org/10.1016/j.ijinfomgt.2015.04.010; [GSSEARCH].
Yin, R. K. Case Study Research: Design and methods. Second Edition, Sage Publications, 1994
Ayatollahi, H.; Hasanneszhad, M; Fard, H. S.; Haghighi, M. K.(2016) Type I diabetes self-management: developing a web-based telemedicine application. Health Information Management Journal, 45(1), 16-26. https://doi.org/10.1177/1833358316639456;[GSSEARH]