Araştırma Makalesi
BibTex RIS Kaynak Göster

THE ANALYTIC HIERARCHY PROCESS METHOD TO DESIGN STRATEGIC DECISION MAKING FOR THE EFFECTIVE ASSESSMENT OF SUPPLIER SELECTION IN CONSTRUCTION INDUSTRY

Yıl 2018, Cilt: 5 Sayı: 2, 142 - 149, 14.07.2018
https://doi.org/10.17261/Pressacademia.2018.833

Öz

Purpose - Endemic uncertainty of the environment within a limited time framework tend to complicate the decision-making process. This study aims to analyze the selection of the optimal supplier that meets the necessary criteria such as product features, supplier features, and delivery conditions.

Methodology - Increasing market pressure in the construction industry compels companies to make quick and good decisions conducting strategic analyses. In this regard, information asymmetry is a crucial concept that requires managers to use different models during the decision-making process not only for their own benefit but also for the sake of all stakeholders. Analytic Hierarchy Process Method is used to evaluate suppliers’ characteristics that tend to consist of numerous interdependent variables and complex relationships.

Findings - Supplier A has relatively better product features and supplier features. Addressing fundamental issues in supplier selection has been increasingly gaining ground in the construction industry in order to maintain a competitive advantage in regard to both cost and time efficiency as well as sustainability.

Conclusion - Companies operate in an environment where decisions are ought to be handled in a rather holistic way. When managers are about to make robust decisions, they are ultimately obliged to feel responsible to both the company and various groups of stakeholders. Overall, decision-making is of vital importance for corporates both in a macro perspective due to existing ecological concerns and also in a micro perspective in terms of sustainability.

Kaynakça

  • Aslan, I., & Çınar, O. (2012). Ranking and evaluating new Asian suppliers with European suppliers based on performance criteria, 7th International Scientific Conference, Business and Management, Vilnius, Lithuania; 949-956
  • Bayazit, O. (2006). Use of analytic network process in vendor selection decisions. Benchmarking: An International Journal, 13(5), 566-579.
  • de FSM Russo, R., & Camanho, R. (2015). Criteria in AHP: a systematic review of literature. Procedia Computer Science, 55, 1123-1132.
  • Faridi, A. S., & El‐Sayegh, S. M. (2006). Significant factors causing delay in the UAE construction industry. Construction Management and Economics, 24(11), 1167-1176.
  • Gadde, L. E., & Dubois, A. (2010). Partnering in the construction industry: Problems and opportunities. Journal of purchasing and supply management, 16(4), 254-263.
  • Gosling, J., Purvis, L., & Naim, M. M. (2010). Supply chain flexibility as a determinant of supplier selection. International Journal of Production Economics, 128(1), 11-21.
  • Jabbarzadeh, A. (2018). Application of the AHP and TOPSIS in project management. Journal of Project Management, 3(2), 125-130.
  • Kahraman, C., Cebeci, U., & Ulukan, Z. (2003). Multi-criteria supplier selection using fuzzy AHP. Logistics information management, 16(6), 382-394.
  • Kuo, R. J., Chi, S. C., & Kao, S. S. (1999). A decision support system for locating convenience store through fuzzy AHP. Computers & Industrial Engineering, 37(1-2), 323-326.
  • Mandal, A., & Deshmukh, S. G. (1994). Vendor selection using interpretive structural modelling (ISM). International Journal of Operations & Production Management, 14(6), 52-59.
  • Ömürbek, N., Şimşek, A. (2014). Analitik Hiyerarşi Süreci ve Analitik Ağ Süreci Yöntemleri ileOnline Alışveriş Site Seçimi. Yönetim ve Ekonomi Araştırmaları Dergisi, 22, 306-327.
  • Patil, S. K., & Kant, R. (2014). A fuzzy AHP-TOPSIS framework for ranking the solutions of Knowledge Management adoption in Supply Chain to overcome its barriers. Expert systems with applications, 41(2), 679-693.
  • Porter, M. E. (2008). The five competitive forces that shape strategy. Harvard business review, 86(1), 25-40.
  • Sambasivan, M., & Soon, Y. W. (2007). Causes and effects of delays in Malaysian construction industry. International Journal of project management, 25(5), 517-526.
  • Sarkis, J., & Dhavale, D. G. (2015). Supplier selection for sustainable operations: A triple-bottom-line approach using a Bayesian framework. International Journal of Production Economics, 166, 177-191.
  • Tam, M. C., & Tummala, V. R. (2001). An application of the AHP in vendor selection of a telecommunications system. Omega, 29(2), 171-182.
  • Yüksel, İ., & Dağdeviren, M. (2010). Using the fuzzy analytic network process (ANP) for Balanced Scorecard (BSC): A case study for a manufacturing firm. Expert Systems with Applications, 37(2), 1270-1278.
Yıl 2018, Cilt: 5 Sayı: 2, 142 - 149, 14.07.2018
https://doi.org/10.17261/Pressacademia.2018.833

Öz

Kaynakça

  • Aslan, I., & Çınar, O. (2012). Ranking and evaluating new Asian suppliers with European suppliers based on performance criteria, 7th International Scientific Conference, Business and Management, Vilnius, Lithuania; 949-956
  • Bayazit, O. (2006). Use of analytic network process in vendor selection decisions. Benchmarking: An International Journal, 13(5), 566-579.
  • de FSM Russo, R., & Camanho, R. (2015). Criteria in AHP: a systematic review of literature. Procedia Computer Science, 55, 1123-1132.
  • Faridi, A. S., & El‐Sayegh, S. M. (2006). Significant factors causing delay in the UAE construction industry. Construction Management and Economics, 24(11), 1167-1176.
  • Gadde, L. E., & Dubois, A. (2010). Partnering in the construction industry: Problems and opportunities. Journal of purchasing and supply management, 16(4), 254-263.
  • Gosling, J., Purvis, L., & Naim, M. M. (2010). Supply chain flexibility as a determinant of supplier selection. International Journal of Production Economics, 128(1), 11-21.
  • Jabbarzadeh, A. (2018). Application of the AHP and TOPSIS in project management. Journal of Project Management, 3(2), 125-130.
  • Kahraman, C., Cebeci, U., & Ulukan, Z. (2003). Multi-criteria supplier selection using fuzzy AHP. Logistics information management, 16(6), 382-394.
  • Kuo, R. J., Chi, S. C., & Kao, S. S. (1999). A decision support system for locating convenience store through fuzzy AHP. Computers & Industrial Engineering, 37(1-2), 323-326.
  • Mandal, A., & Deshmukh, S. G. (1994). Vendor selection using interpretive structural modelling (ISM). International Journal of Operations & Production Management, 14(6), 52-59.
  • Ömürbek, N., Şimşek, A. (2014). Analitik Hiyerarşi Süreci ve Analitik Ağ Süreci Yöntemleri ileOnline Alışveriş Site Seçimi. Yönetim ve Ekonomi Araştırmaları Dergisi, 22, 306-327.
  • Patil, S. K., & Kant, R. (2014). A fuzzy AHP-TOPSIS framework for ranking the solutions of Knowledge Management adoption in Supply Chain to overcome its barriers. Expert systems with applications, 41(2), 679-693.
  • Porter, M. E. (2008). The five competitive forces that shape strategy. Harvard business review, 86(1), 25-40.
  • Sambasivan, M., & Soon, Y. W. (2007). Causes and effects of delays in Malaysian construction industry. International Journal of project management, 25(5), 517-526.
  • Sarkis, J., & Dhavale, D. G. (2015). Supplier selection for sustainable operations: A triple-bottom-line approach using a Bayesian framework. International Journal of Production Economics, 166, 177-191.
  • Tam, M. C., & Tummala, V. R. (2001). An application of the AHP in vendor selection of a telecommunications system. Omega, 29(2), 171-182.
  • Yüksel, İ., & Dağdeviren, M. (2010). Using the fuzzy analytic network process (ANP) for Balanced Scorecard (BSC): A case study for a manufacturing firm. Expert Systems with Applications, 37(2), 1270-1278.
Toplam 17 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Articles
Yazarlar

Pinar Basar 0000-0002-8537-5527

Yayımlanma Tarihi 14 Temmuz 2018
Yayımlandığı Sayı Yıl 2018 Cilt: 5 Sayı: 2

Kaynak Göster

APA Basar, P. (2018). THE ANALYTIC HIERARCHY PROCESS METHOD TO DESIGN STRATEGIC DECISION MAKING FOR THE EFFECTIVE ASSESSMENT OF SUPPLIER SELECTION IN CONSTRUCTION INDUSTRY. Research Journal of Business and Management, 5(2), 142-149. https://doi.org/10.17261/Pressacademia.2018.833
AMA Basar P. THE ANALYTIC HIERARCHY PROCESS METHOD TO DESIGN STRATEGIC DECISION MAKING FOR THE EFFECTIVE ASSESSMENT OF SUPPLIER SELECTION IN CONSTRUCTION INDUSTRY. RJBM. Haziran 2018;5(2):142-149. doi:10.17261/Pressacademia.2018.833
Chicago Basar, Pinar. “THE ANALYTIC HIERARCHY PROCESS METHOD TO DESIGN STRATEGIC DECISION MAKING FOR THE EFFECTIVE ASSESSMENT OF SUPPLIER SELECTION IN CONSTRUCTION INDUSTRY”. Research Journal of Business and Management 5, sy. 2 (Haziran 2018): 142-49. https://doi.org/10.17261/Pressacademia.2018.833.
EndNote Basar P (01 Haziran 2018) THE ANALYTIC HIERARCHY PROCESS METHOD TO DESIGN STRATEGIC DECISION MAKING FOR THE EFFECTIVE ASSESSMENT OF SUPPLIER SELECTION IN CONSTRUCTION INDUSTRY. Research Journal of Business and Management 5 2 142–149.
IEEE P. Basar, “THE ANALYTIC HIERARCHY PROCESS METHOD TO DESIGN STRATEGIC DECISION MAKING FOR THE EFFECTIVE ASSESSMENT OF SUPPLIER SELECTION IN CONSTRUCTION INDUSTRY”, RJBM, c. 5, sy. 2, ss. 142–149, 2018, doi: 10.17261/Pressacademia.2018.833.
ISNAD Basar, Pinar. “THE ANALYTIC HIERARCHY PROCESS METHOD TO DESIGN STRATEGIC DECISION MAKING FOR THE EFFECTIVE ASSESSMENT OF SUPPLIER SELECTION IN CONSTRUCTION INDUSTRY”. Research Journal of Business and Management 5/2 (Haziran 2018), 142-149. https://doi.org/10.17261/Pressacademia.2018.833.
JAMA Basar P. THE ANALYTIC HIERARCHY PROCESS METHOD TO DESIGN STRATEGIC DECISION MAKING FOR THE EFFECTIVE ASSESSMENT OF SUPPLIER SELECTION IN CONSTRUCTION INDUSTRY. RJBM. 2018;5:142–149.
MLA Basar, Pinar. “THE ANALYTIC HIERARCHY PROCESS METHOD TO DESIGN STRATEGIC DECISION MAKING FOR THE EFFECTIVE ASSESSMENT OF SUPPLIER SELECTION IN CONSTRUCTION INDUSTRY”. Research Journal of Business and Management, c. 5, sy. 2, 2018, ss. 142-9, doi:10.17261/Pressacademia.2018.833.
Vancouver Basar P. THE ANALYTIC HIERARCHY PROCESS METHOD TO DESIGN STRATEGIC DECISION MAKING FOR THE EFFECTIVE ASSESSMENT OF SUPPLIER SELECTION IN CONSTRUCTION INDUSTRY. RJBM. 2018;5(2):142-9.

Research Journal of Business and Management (RJBM) is a scientific, academic, double blind peer-reviewed, quarterly and open-access online journal. The journal publishes four issues a year. The issuing months are March, June, September and December. The publication languages of the Journal are English and Turkish. RJBM aims to provide a research source for all practitioners, policy makers, professionals and researchers working in all related areas of business, management and organizations. The editor in chief of RJBM invites all manuscripts that cover theoretical and/or applied researches on topics related to the interest areas of the Journal. RJBM publishes academic research studies only. RJBM charges no submission or publication fee.

Ethics Policy - RJBM applies the standards of Committee on Publication Ethics (COPE). RJBM is committed to the academic community ensuring ethics and quality of manuscripts in publications. Plagiarism is strictly forbidden and the manuscripts found to be plagiarized will not be accepted or if published will be removed from the publication. Authors must certify that their manuscripts are their original work. Plagiarism, duplicate, data fabrication and redundant publications are forbidden. The manuscripts are subject to plagiarism check by iThenticate or similar. All manuscript submissions must provide a similarity report (up to 15% excluding quotes, bibliography, abstract, method).

Open Access - All research articles published in PressAcademia Journals are fully open access; immediately freely available to read, download and share. Articles are published under the terms of a Creative Commons license which permits use, distribution and reproduction in any medium, provided the original work is properly cited. Open access is a property of individual works, not necessarily journals or publishers. Community standards, rather than copyright law, will continue to provide the mechanism for enforcement of proper attribution and responsible use of the published work, as they do now.