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Journals / Business and Management Studies: An International Journal / 2018 / Cilt: 6 - Sayı: 3

PROJECT SELECTION FOR GROUP DECISION MAKING: A MULTIPLE PROJECT PERSPECTIVE FROM PAKISTAN

GRUP KARAR VERME PROJESİ SEÇİMİ: PAKİSTAN'DAN ÇOKLU BİR PROJE PERSPEKTİFİ

Siti Norasyikin Abdul HAMID
Muhammad Farhan BASHEER
Azelin AZIZ
Muhammad IMRAN
Pages
190–203
Publication Date
2022-10-11
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In conclusion, AHP is the bestand efficient method for decision makers to consider all facts, weigh the pluses and minuses, reach, reevaluate andcommunicate their decisions.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Decision making is one of the primary functions of management.
📊
Key Findings & Data:Making strategic decisions are important toachieve organisational efficiency and effectiveness.
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Conclusion & Impact:In conclusion, AHP is the bestand efficient method for decision makers to consider all facts, weigh the pluses and minuses, reach, reevaluate andcommunicate their decisions.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Decision making is one of the primary functions of management. Making strategic decisions are important toachieve organisational efficiency and effectiveness. In the selection of projects, it is necessary for organisations toprioritise their projects due to limited resources. Therefore, the selection of projects that bring value and substantial impacton the organisation is very important to ensure that they can compete in the dynamic external environment and meet thegoals and objectives. From the case study, the result suggests that the Analytical Hierarchy Process (AHP) method cancontribute significantly to the identification of sources that need further clarification of attributes and criteria and at thesame time it can provide a systematic analytical tool in making a group decision. This method allows the organisation toprioritize its projects based on certain criteria as it is a quantitative decision support tool. In conclusion, AHP is the bestand efficient method for decision makers to consider all facts, weigh the pluses and minuses, reach, reevaluate andcommunicate their decisions.

Özet

Karar verme, yönetimin temel işlevlerinden biridir. Stratejik kararlar vermek, organizasyonel etkinlik ve verimlilik elde etmek için önemlidir. Projelerin seçiminde, kuruluşların sınırlı kaynaklardan dolayı projelerini önceliklendirmesi gerekmektedir. Bu nedenle, organizasyona değer ve önemli etki yaratan projelerin seçimi, dinamik dış ortamlarda rekabet edebilmelerini ve amaç ve hedefleri karşılayabilmelerini sağlamak için çok önemlidir. Vaka çalışmasından elde edilen sonuç, Analitik Hiyerarşi Süreci (AHP) yönteminin, niteliklerin ve kriterlerin daha fazla açıklığa kavuşturulması gereken kaynakların tanımlanmasına önemli ölçüde katkıda bulunabileceğini ve aynı zamanda bir grup kararında sistematik bir analitik araç sağlayabileceğini göstermektedir. Bu yöntem, kurumun projelerini nicel bir karar destek aracı olduğu için belirli kriterlere göre önceliklendirmesine izin verir. Sonuç olarak, AHP’nin, karar vericilerin tüm gerçekleri dikkate almalarnıı, artıları ve eksileri değerlendirmelerini, ulaşmalarını, yeniden değerlendirmelerini ve kararlarını iletmelerini sağlayan en iyi ve etkili yöntem olduğu söylenebilmektedir.

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Cite This Article

HAMID, S. N. A., BASHEER, M. F., AZIZ, A., IMRAN, M. (2022). PROJECT SELECTION FOR GROUP DECISION MAKING: A MULTIPLE PROJECT PERSPECTIVE FROM PAKISTAN. Business and Management Studies: An International Journal, Cilt: 6 - Sayı: 3, 190–203. https://ajindex.com/articles/470623

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References (10)

  1. Ang. (2005). Using AHP in ERP software for group decision making. Unpublished technical report, Universiti Utara Malaysia, Sintok. Alexander, L. G., & McKeown, T. J. (1985). Case studies and theories of organizational decision making. Advances in Information processing in Organizations, 2, 2-58.
  2. Al-Subhi, K. M. (2001). Application of the AHP in project management. International Journal of Project Management, 19, 19-27.
  3. Andrew, J. C., & Mahmoud, M. Y. (2003). Managing the project management process. Industrial Management & Data Systems, 103(1), 39-46.
  4. Asaka, F. O. (2008). Projects selection and management implications in Kenyan local authorities. Asian Journal of Business and Management Sciences,1(10), 65-75.
  5. Athawale, M. C. (2009). Supplier selection using multi criteria decision making methods. Journal of Operations Management, 8, 41-60.
  6. Aydin, E., & Rahman, M. (2017). Theoretical Perspectives to Diversity in Management Research. Journal of Management Research, 9(2), 160-170.
  7. Bhushan, N., & Rai, K. (2004). Strategic decision making: Applying the analytic hierarchy process. New York: Springer. Basheer, M. F., KhorramI, A. A. A., & Hassan, S. G. (2018). PATRONAGE FACTORS OF ISLAMIC BANKING SYSTEM IN PAKISTAN. Academy of Accounting and Financial Studies Journal, 22, 1-9.
  8. Basheer, M., Ahmad, A., & Hassan, S. (2019). Impact of economic and financial factors on tax revenue: Evidence from the Middle East countries. Accounting, 5(2), 53-60.
  9. Basheer, M. F. (2014). Impact of Corporate Governance on Corporate Cash Holdings: An empirical study of firms in manufacturing industry of Pakistan. International Journal of Innovation and Applied Studies, 7(4), 1371. Burton, C., &Suedel, J. K. (2009). Comparison of the direct scoring method and multi criteria decision analysis for dredged material management decision making. Charvat, J. (2003). Project management methodologies: Selecting, implementing, and supporting methodologies and processes for project. Hoboken, New Jersey: John Wiley & Sons, Inc. Clifford, F. C., & Larson, W. E. (2003). Management process (2nd ed.) New York: McGraw-Hill Ltd. Colin, O. B. (1985). A linear goal-programming model for public-sector project selection. The Journal of the Operational Research Society, 36(1). 13-23.
  10. Costa, H. R., Barros, M. O., & Rocha, A. R. C. (2010). Software project portfolio selection: A modern portfolio theory based technique. Proceedings of the 22nd Software Engineering and Knowledge Engineering Conference. San Francisco,