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Volume 19
Issue 1
Online publication date 2019-04-16
Title A socio-technical perception on the impact of project management software in logistics and distribution center: A case study in Saudi Arabia telecommunication company
Author Ahmed Alojairi, Ali Bazarah, Abdullah Basiouni, Kang Mun Arturo Tan, Hafizi Muhamad Ali
Abstract
This paper observed the use of project management software (PMS) as a planning and organizing tool in logistics and distribution center in a Saudi Arabian Telecommunication Company. PMS enable the company to mix and match resources for any given task done. Twenty-eight respondents from various ranks have been interviewed. This paper uses Echo Method where results showed the most critical use of a PMS was in its support for control and scheduling, and resource allocation. The purpose of Echo method led towards the calculation of an Interaction Effectiveness Ratio of 1.5, which implies that the PMS is not a panacea for project management woes. This further means that for every three benefits found in using PMS, there are two constraining examples found. The project management team resolved these constraining events with the use of spreadsheets (Excel) for data analysis and mobile phones for communications. This paper concludes that an organization who works with PMS needs to assess the features carefully and to simultaneously look at the use of spreadsheets as part of its project management tool. 


Citation
References
Al-Haderi, S. (2013). The effect of self-efficacy in the acceptance of information technology in the public sector. International Journal of Business and Social Science, 4(9), 188-198.

Anbari, F., Bani Ali, A., & Mony, W. (2008). Impact of organizational and project factors on acceptance and usage of project management software and perceived project success. Project Management Journal, 9(2), 5-33. 

Ayers, J. B. (2010). Supply chain project management: a structured collaborative and measurable approach. Boca Raton, FL: Taylor & Francis.

Balakrishnan, J. (2009). Critical chain analysis using project management software. Production and Inventory Management Journal, 45(1), 13-20.

Barkowski, L. (1999). Intranets for project and cost management in manufacturing. Cost Engineering Journal, 41(6), 33-37.

Bavelas, A. (1942). A method for investigating individual and group ideology. Sociometry, 5, 371-377. 

Belout, A., & Gauvreau, C. (2004). Factors influencing project success: The impact of human resource management. International Journal of Project Management, 22(1), 1-11.

Bisbe, J., & Otley, D. (2004). The effects of the interactive use of management control systems on product innovation. Accounting, Organization and Society, 29(8), 709-737.

Butterfield, L., & Thomasen, O. (1993). Combining risk management and resource optimization in project management software. Journal of Cost Engineering, 35(8), 19-24.

Chen, F., Nunamaker, J., & Romano, N. (2006). A collaborative project management approach and framework for its supporting systems. Journal of International Technology and Information Management, 15(2), 1-15.

Cline, M., Guynes, C., & Simard, K. (2010). The ace project as a project management tool. American Journal of Business Education, 3(6), 63-68.

Conforto, C., Salum, F., Amaral, C., da Silva, L. & de Almeida, M. (2014). Can agile project management be adopted by industries other than software development? Project Management Journal, 45(3), 21-34. 

Conlin, J., & Retik, A. (1997). The applicability of project management software and advanced IT techniques in construction delays mitigation. International Journal of Project Management, 15(2), 107-120.

Coulmas, N., & Law, M. (2010). Exploration of accounting software usage: empirical research applied to the Pennsylvania home building industry. International Journal of Management & Information Systems, 14(1), 29-34.

Cunningham, J. (2001). Researching organizational values, and beliefs: the echo approach. Westport: Greenwood publishing group.

Damiani, L., Revetria, R., Svilenova, I. & Giribone, P. (2014). Survey and comparison of the project management software used by engineering, procurement and construction. Advances in Energy and Environmental Science and Engineering, 73-81. ISBN: 978-1-61804-338-2

Do, T., Ogunlana, S., & Nguyen, L. (2004). A study on project success factors in large construction projects in Vietnam. Construction and Architectural Management Engineering, 11(6), 404-413. 

El-Zamzamy, H., & Hegazy, T. (1998). Project management software that meets the challenge. Journal of Cost Engineering, 40(5), 25-33.

Fernández-Alemán, J., Carrillo-de-Gea, J., Meca, J., Ros, J.,  Toval, A., & Idri, A. (2016). Effects of using requirements catalogs on effectiveness and productivity of requirements specification in a software project management course. IEEE Transactions on Education, 59(2), 105-118. 

Fleming, Q., & Koppelman, J. (1998). Earned value project management; a powerful tool for software projects. Crosstalk.The Journal of Defense Software Engineering, July 1998, 19-23.

Herroelen, W. (2005). Project scheduling-theory and practice. Production and Operation Management Society, 14(4), 413-432.

Kumar, V., Wilfred, A., & Seridevi, H. (2017). Comparative study of time-cost optimization. International Journal of Civil Engineering and Technology, 8(4), 659-663.  

Kuo, Y. (2009). The driving force for design project effectiveness. Journal of Computer Information Systems, 50(2), 60-70. 

Liberatore, M., & Pollack-Johnson, B. (2003). Factors influencing the usage and selection of project management software. IEEE Transactions on Engineering Management, 50(2), 164-172.

Loesch, J., & Theodori, J. (2005). Document management: a case study. Journal of Facilities Management, 3(3), 273-283. 

Lusa A., & de Miranda, L. (2017). An introduction to the resource constrained project scheduling problem solving techniques. Optimization and decision support systems for supply chains. Switzerland: Springer. 

Munoz-Avila, H., & Xu, K. (2007). CaBMA: a case-based reasoning system for capturing, refining and reusing project plans. Knowledge Information Systems, 2008(15), 215-232. 

Nafkha, R., & Wiliński, A. (2016). The critical path method in estimating project duration. Information Systems in Management, 5(1), 78-87. 

Ngassam, C., Sutterfield, J., & Swirsky, S. (2008). Project management software selection using analytical hierarchy process. Academy of Information and Management Sciences Journal, 11(2), 79-93.

Niazi, M., Mahmood, S., Alshayeb, M., Qureshi, A., Faisal, K., & Narciso Cerpa (2016). Toward successful project management in global software development. International Journal of Project Management, 34(8), 1553-1567. 

Nitithamyong, P., &  Skibniewski, M. (2011). Success factors for the implementation of web-based construction project management systems. Construction Innovation  Journal, 11(1), 14-42.

Ogunlan, S., & Toor, S.(2008). Construction professional’s perception of critical success factors for large-scale construction projects. Journal of Construction Innovation, 9(2), 149-167.

Page, W. (1989). Using project management software in planning. APA Journal, Autumn, 55(4), 494-499.

Pellerin, R., Perrier, N., Guillot, X., & Leger, P. (2013). Project management software utilization and project performance. International Journal of Information Systems abd Project Management, 1(3), 5-26.

Poile, C. ( 2008). The Echo method: investigating Socio-technical interactions.  Paper presented at the 2008 ICSE Workshop on Socio-Technical Congruence. 

Raby, M. (2000). Project management via earned value. Work Study , 49(1),  6-9.

Reyck, B. (2010). Effective project planning: making the most of project planning tools. Production and Inventory Management Journal, 46(2), 10-25.

Roberts, S. (1992). Human skills-keys to effectiveness. Journal of Cost Engineering, 34(11), 17-19.

Simmonds, D., & Pence, N. (2017). The impact of task-methodology fit on CPM/PERT diagramming performance: an experimental investigation. Proceedings of the Twelfth Midwest Association for Information Systems Conference, Springfield, Illinois, May 18-19. 

Valenko, T., &  Uros, K. (2017). An integration of spreadsheet and project management software for cost-optimal time scheduling in construction. The organization, Technology, and Management in Construction, 9, 1627-1637.

Vijayasarathy, L., & Butler, C. (2016). Choice of software development methodologies: do organizational, project, and team characteristics matter? IEEE Software, 33(5), 86-94. 

Whitty, S. J. (2011). On a new philosophy of project management. An investigation into the prevalence of modern project management by means of an evolutionary framework. International Journal of Managing Projects in Business, 4(3), 282-308.

Woodworth, B. (1989).Is resource-constrained project management software reliable? Cost Engineering Journal, 31(7), 7-11

Keywords Cultural value analysis, echo method, interview technique, logistic project management, project management software
DOI http://dx.doi.org/10.15208/pieb.2019.3
Pages 33-52
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