Abstract
The paper proposes a model for improving task scheduling in light project management. The model is implemented in a collaborative task management tool, which provides automatic task allocation based on ontological representations of project tasks and team members’ profiles, social media integration, customization of notification, task plan templates, task progress awareness and reminders. The paper presents the methodology used to gather the requirements for the tool, the principles applied to obtain a successful product, the technical and functional description of the application, as well as the way in which it can improve the workflow of project management activities in a cross-functional virtual team. The novelties brought by the tool are the fact that it exploits the social profiles of the users: when a project is started, it provides a recommendation of the project team members based on their workload (extracted from their declared events) and on their expertise.
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References
Riss, U.V., Grebner, O., Taylor, P.S., Du, Y.: Knowledge work support by semantic task management. Computers in Industry 61, 798–805 (2010)
Drucker, P.F.: The Age of Discontinuity: Guidelines to Our Changing Society. Heinemann, London (1969)
Obradovic, V., Jovanovic, P., Petrovic, D., Mihic, M., Bjelica, D.: Web-based project management influence on project portfolio managers’ technical competencies. Procedia - Social and Behavioral Sciences 119, 387–396 (2014)
Shao, B.B.M., Yin, P.-Y., Chen, A.N.K.: Organizing knowledge workforce for specified iterative software development tasks. Decision Support Systems 59, 15–27 (2014)
Nikas, A., Argyropoulou, M.: Assessing the impact of collaborative tasks on individuals’ perceived performance in ICT enabled Project Teams. Procedia - Social and Behavioral Sciences 119, 786–795 (2014)
Tushman, M.L.: Work Characteristics and Subunit Communication Structure: A contingency analysis. Administrative Science Quarterly 24, 92–98 (1979)
Te’eni, D.: Review: A cognitive-affective model of organisational communication for designing IT. MIS Quarterly 25, 251–312 (2001)
Campion, M.A., Medsker, G.J., Higgs, A.C.: Relations between work group characteristics and effectiveness: Implications for designing effective work groups. Personnel Psychology 46, 823–850 (1993)
Aldea, C., Draghici, A., Dragoi, G.: New Perspectives of Virtual Teams’ Collaboration. In: Putnik, G.D., Cruz-Cunha, M.M. (eds.) ViNOrg 2011. CCIS, vol. 248, pp. 176–185. Springer, Heidelberg (2012)
Dragoi, G., Rosu, S.M., Pavaloiu, I.-B., Draghici, A.: Knowledge Applications Development at the SMEs Level in a Virtual Business Environment. Procedia Technology 9, 431–441 (2013)
Todo Task Management Application, http://www.appigo.com/
GetItDone Task Management Application, https://getitdoneapp.com/
Task Manager Professional, http://windows.appstorm.net/reviews/productivity-reviews/task-manager-professional-project-management-in-windows-8/
Toast Notification, http://msdn.microsoft.com/en-us/library/windows/apps/hh779727.aspx
Producteev Task Management Software, http://www.producteev.com/
Rezaei, R., Chiew, T.K., Lee, S.P., Aliee, Z.S.: A semantic interoperability framework for software as a service systems, Expert Systems with Applications 41, 5751–5770 (2014) in cloud computing environments
Toodledo Task Management Application, http://www.toodledo.com
David, A.: Getting Things Done, gettingthingsdone.com/
Social Media Task Management, https://gigaom.com/2011/06/20/socialbase-social-media-task-management/
Blazewicz, J., Lenstra, J.K., Rinnooy Kan, A.H.G.: Scheduling subject to resource constraints: Classification and complexity. Discrete Applied Mathematics 5, 11–24 (1983)
Goncharov, E.: A greedy heuristic approach for the Resource-Constrained Project Scheduling Problem. Studia Informatica Universalis 9(3), 79–90 (2011)
Valls, V., BallestĂn, F., Quintanilla, S.: A hybrid genetic algorithm for the resource-constrained project scheduling problem. European Journal of Operational Research 185(2), 495–508 (2008)
Microsoft, Azure, http://www.windowsazure.com/en-us/services/mobile-services/
OAuth Protocol, http://hueniverse.com/oauth/guide/intro/
Nammuni, K., Levine, J., Kingston, J.: Skill-based Resource Allocation using Genetic Algorithms and Ontologies. Informatic Research Report EDI-INF-RR-0174, School of Informatics, University of Edinburgh (2002)
Task Model Ontology (TMO), http://www.semanticdesktop.org/ontologies/2008/05/20/tmo/
Marques, A.B., Carvalho, J.R., Rodrigues, R., Conte, T.: An Ontology for Task Allocation to Teams in Distributed Software Development. In: Proceedings of the 2013 IEEE 8th International Conference on Global Software Engineering (ICGSE), pp. 21–30. IEEE (2013)
Bodea, C., Dascalu, M., Serbanati, L.D.: An Ontology-Alignment Based Recommendation Mechanism for Improving the Acquisition and Implementation of Managerial Training Services in Project Oriented Organizations. In: Proceedings of the 9th International Conference and Workshops on Engineering of Computer Based Systems (ECBS), pp. 257–266. IEEE (2012)
Vasilateanu, A., Goga, N., Moldoveanu, F., Moldoveanu, A., Taslitchi, C.: Questor: Medical Report Search Engine. In: 2013 IEEE International Conference on Healthcare Informatics (ICHI), pp. 478–479. IEEE (2014)
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Dascalu, MI., Dragoi, G., Stroescu, NC., Moldoveanu, A. (2014). Semantic Collaborative Task Management Tool with Social Media Integration. In: Kravets, A., Shcherbakov, M., Kultsova, M., Iijima, T. (eds) Knowledge-Based Software Engineering. JCKBSE 2014. Communications in Computer and Information Science, vol 466. Springer, Cham. https://doi.org/10.1007/978-3-319-11854-3_19
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DOI: https://doi.org/10.1007/978-3-319-11854-3_19
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