ORIGINAL_ARTICLE
Rule Mining about the Relationship between Climatic Factors and the Number of Patients in a Hospital Using Classification Based on Multidimensional Association Rule Mining
Objective: There are many climatic factors affecting the number of patients in hospitals which generally tend to make a Non-optimal use of their facilities and human resources.This research is aimed at discovering hidden knowledge between climatic factors and the number of hospital patients using data mining techniques. Methods: In this study, the relationship between climatic factors and the number of patients in Dr. Sheikh specialized pediatric hospital of Mashhad is investigated by classification based on multidimensional association rule mining. The number of patients in the nephrology, hematology, emergency and PICU department of this hospital have been considered separately, and consequently the relationship between the number of patients and the climatic factors such as air temperature, relative humidity, wind speed, air pressure and air pollution have been analyzed. This research has analyzed data gathered through a 19 month period and has been obtained by referring to the documents. In this research for feature selection, all subsets of climatic factors are searched and the effect of all subsets on the number of patients are evaluated using linear regression. Also for rule mining is used classification based on multidimensional association rule mining which is based on known Apriori algorithm. Results: The results show different patterns that indicate the relationship between the number of patients in the hospital departments with the climatic factors. Conclusion: This study is able to help analyze the relationship between the climatic factors and the number of patients in the hospital. Also, the rules will help managers make optimal planning for hospital resources according to the different number of patients.
https://imj.ut.ac.ir/article_75668_556591f4ed257b5fad89ba489080e57a.pdf
2020-02-20
575
599
10.22059/imj.2019.283787.1007618
Classification based on multidimensional association rule mining
Apriori algorithm
linear regression
climatic factors
The number of hospital patients
Sima
Hadadian
sima_hadadian@yahoo.com
1
PhD Candidate, Department of Industrial Management, Faculty of Economic & Administrative Sciences, Ferdowsi University of Mashhad, Mashhad, Iran.
AUTHOR
Zahra
Naji Azimi
znajiazimi@um.ac.ir
2
Associate Prof., Department of Industrial Management, Faculty of Economic & Administrative Sciences, Ferdowsi University of Mashhad, Mashhad, Iran.
LEAD_AUTHOR
Naser
Motahari Farimani
n.motahari@um.ac.ir
3
Assistant Prof., Department of Industrial Management, Faculty of Economic & Administrative Sciences, Ferdowsi University of Mashhad, Mashhad, Iran.
AUTHOR
Behrooz
Minaei Bidgoli
b_minaei@iust.ac.ir
4
Associate Prof., Department of Artificial Intelligence, Faculty of Computer Engineering, Iran University of Science and Technology, Tehran, Iran.
AUTHOR
ادهم، داود؛ مهدوی؛ عبدالله؛ مهرتک، محمد؛ ابراهیمی، کمال؛ آذری، آرزو (1394 ). مقایسه تخصیص منابع انسانی بیمارستانهای عمومی دانشگاهی شهرستانهای استان آذربایجان شرقی با استاندارد کشوری. مجله سلامت و بهداشت، 6(5)، 507- 516.
1
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ORIGINAL_ARTICLE
Business Process Modeling through Hybrid Simulation Approach (Case Study: One of the Iranian Banks)
Objective: Change is an important part of the business and work process, and in the current competitive environment, an organization can only survive if it has the tools and capabilities needed to model and simulate its business processes to face these changes. The purpose of this paper is to present a hybrid agent-based and discrete-event simulation model for business process management. Methods: Using the proposed model of this paper, the process of credit card was modeled as a case study in accordance with the concepts of business process management, and then, a discrete-event simulation is used at the operational level, and agent-based simulation at the micro level as well as for modeling agents and their behaviors. The research is carried out in one of the Iranian banks. Results: The findings indicate that the current approach has the necessary adaptation to the actual situation. This means that it provides correct and reliable outputs. The research also shows how the combination of discrete-event and agent-based simulation methods can achieve a higher level of detail and complexity in managing business processes. Conclusion: It has been revealed that the proposed hybrid model has a less average relative error compared to single simulation methods, which in fact represents the acceptable performance of the model. Therefore, it can be used to examine different scenarios by applying changes to the input parameters and observing the results.
https://imj.ut.ac.ir/article_75669_985386f0c986051de375a00e489ab17d.pdf
2020-02-20
600
620
10.22059/imj.2019.282212.1007605
Hybrid simulation
Agent-based
Discrete-event
Business Process Management
Asghar
Ataee Gortolmesh
asghar.ataee17@gmail.com
1
Ph.D. Candidate, Department of Industrial Management, Faculty of Management and Economy, Science and Research Branch, Islamic Azad University, Tehran, Iran.
AUTHOR
Abbas
Toloie Eshlaghy
edu.myresearch@gmail.com
2
Department of Industrial Management, Faculty of Economy, Science and Research Branch, Islamic Azad University, Tehran, Iran.
LEAD_AUTHOR
Alireza
Pourebrahimi
porebrahimi@gmail.com
3
Assistant Prof, Department of Industrial Management, Faculty of Management and Accounting, Islamic Azad University, Karaj,Alborz, Iran.
AUTHOR
آذر، عادل؛ سقالرزاده، سمانه؛ رجبزاده، علی (1391). شبیهسازی فازی در شرایط عدم اطمینان. مدیریت صنعتی، 4(2)، 1- 20.
1
ایمانیمهر، مهدی؛ عبداللهخانی، مجید (1393). مدیریت فرایندهای کسبوکار در نظام بانکی. چهارمین همایش بانکداری الکترونیک.
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صارمی، محمود؛ افشاری، حمیدرضا (1389). تجزیه و تحلیل شکاف فرایندی برای پروژههای بازمهندسی فرایند کسب وکار؛ مطالعه موردی در شرکت مپنا. مدیریت صنعتی، 2(5)، 43- 58.
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43
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44
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45
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46
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47
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49
Van der Aalst, W.M.P. (2010). Business Process Simulation Revisited. In: Barjis J. (eds) Enterprise and Organizational Modeling and Simulation. EOMAS 2010. Lecture Notes in Business Information Processing, 63, 1-15.
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55
ORIGINAL_ARTICLE
Mathematical Modeling of Sustainable Supply Chain Networks under Uncertainty and Solving It Using Metaheuristic Algorithms
Objective: In recent years, global concerns about environmental and social issues have made consumers, government organizations, companies and universities more active, and their focus has increasingly been on the design of the supply chain network as the most important part of the supply chain. The main objective of this paper is to present a supply chain modeling model for Hamadan Glass Manufacturing Company considering the dimensions of sustainability. Methods: In this paper, a Fuzzy Multi-objective Mixed Integral Programming is presented to design a closed loop supply chain under uncertainty conditions in order to minimize environmental impacts and maximize social impacts and economic benefits. In this model, both the constraints and the parameters of the problem are fuzzy, which is determined by the Jimenez method, and the algorithms of NSGA-II and MOPSO have been used to solve the model. Results: The proposed model was solved with two multi-objective genetic algorithms and multi-objective particle swarm optimization, and the necessary comparisons were made between the results. Finally, Pareto's solutions were determined. According to the results, the two algorithms differ in the time criterion that the NSGA-II is superior to MOPSO. Also, there are two different algorithms in the MID standard that MOPSO excels over NSGA-II and does not have any significant superiority over the remaining criteria. Conclusion: Based on the results of the research, simultaneous consideration of economic, environmental and social dimensions and uncertainty in some parameters such as demand and returns lead to improved supply chain performance in terms of profitability and customer satisfaction.
https://imj.ut.ac.ir/article_75670_d051adce9ef6548e180c4bb8e5138027.pdf
2020-02-20
621
652
10.22059/imj.2019.280393.1007588
Sustainable Supply Chain
Meta-heuristic algorithms
Mixed-Integer Linear Programming
Mohammad Reza
Fathi
reza.fathi@ut.ac.ir
1
Assistant Prof., Department of Industrial and Financial Management, Faculty of Management and Accounting, Farabi Campus, University of Tehran, Qom, Iran.
AUTHOR
Mahdi
Nasrollahi
m.nasrollahi@ut.ac.ir
2
Department of Industrial Management, Faculty of Social Sciences, Imam Khomeini International University (IKIU), Qazvin, Iran.
LEAD_AUTHOR
Ali
Zamanian
a.zamaniyan@ut.ac.ir
3
M.S. Student, Department of Industrial Management, Faculty of Management and Accounting, Farabi Campus, University of Tehran, Qom, Iran.
AUTHOR
ضرابی، اصغر؛ شاهیوندی، احمد (1389). تحلیلی بر پراکندگی شاخصهای توسعه اقتصادی در استانهای ایران. جغرافیا و برنامهریزی محیطی، 21(2)، 17-32.
1
عمرانی، قاسم علی؛ منوری، سید مسعود؛ جوزی، سید علی؛ زمانی، ندا (1388). مدیریت بازیافت شیشه در شهر تهران. فصلنامه علوم و تکنولوژی محیط زیست، 11(4)، 41-50.
2
غضنفری، مهدی؛ فتح الله، مهدی (1396). نگرشی جامع بر مدیریت زنجیره تأمین. تهران: دانشگاه علم و صنعت ایران.
3
فلاح لاجیمی، حمیدرضا؛ جعفرنژاد، احمد؛ مهرگان، محمدرضا؛ الفت، لعیا (1394). پیکرهبندی شبکه زنجیره تأمین یکپارچه راهبردی تصادفی. مدیریت صنعتی، 7(1) ، 83-105.
4
محمدی، امیرسالار؛ عالم تبریز، اکبر؛ پیشوایی، میرسامان (1397). طراحی شبکه زنجیره تأمین سبز حلقه بسته همراه با تصمیمهای مالی در شرایط عدم قطعیت. مدیریت صنعتی، 10(1)، 61-84.
5
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43
ORIGINAL_ARTICLE
Application of Soft Systems Methodology in Structuring the Issue of Policy Making of Electronic Banking
Objective: Due to the fact that the banking industry is mixed with information and communication technologies, extensive developments are expected for this industry and its players in such a way that an ambiguous and complicated future is, specially, expected for the electronic banking industry. Also, analysis of the present research on policy making in electronic banking signifies the lack of a policy making model’s ability to continuously observe the uncertainties in order to set a long-term plan to preserve the future position of this industry. The aim of the present study is presenting a model for policy making in electronic banking under uncertain conditions. Methods: In order to do so, the issue of policy making in electronic banking has been structured using Soft Systems Methodology. The prescriptive methodology has been applied and the outcomes of this research are in such a way that they consider the targeted uncertainties in policy making. Results: The resultant outcome is a two-circle conceptual model, the main circle of which consists of 5 stages; problem defining ecosystem, scenario presentation ecosystem, control before execution, implementation ecosystem, and control after execution, and the outer circle of which has been designed to implement the necessary controls on the stages is mentioned in the central circle. Conclusion: for structuring the issues of policy making of electronic banking, the implementing of aforementioned model and responsibility of the main players in this area including the central bank, the ministry of economy and finance, banks, software producing companies and payment service providers is described.
https://imj.ut.ac.ir/article_75671_e6f0a4924e5450082a439e2321eeecf0.pdf
2020-02-20
653
674
10.22059/imj.2020.287130.1007643
Soft systems methodology
Policy making
Electronic banking
Rich picture
CATOWE
Abbas
Monavarian
amonavar@ut.ac.ir
1
Prof., Department of Management, Faculty of Management, University of Tehran, Tehran, Iran.
AUTHOR
Ali
Divandari
divandari@ut.ac.ir
2
Associate Prof., Department of Management, Faculty of Management, University of Tehran, Tehran, Iran.
AUTHOR
Saeed
Yaghoubi
yaghoubi@iust.ac.ir
3
Assistant Prof., Department of Logistics Engineering and Supply Chain, Faculty of Industrial Engineering, University of Science and Technology, Tehran, Iran.
AUTHOR
Hadi
Sepanloo
h.sepanloo@gmail.com
4
Department of Management, Faculty of Management, Kish International Campus, University of Tehran, Kish, Iran.
LEAD_AUTHOR
ابویی اردکان، محمد؛ مهرگان، محمدرضا؛ معینی، علی؛ شامی زنجانی، مهدی؛ فهیمی، میترا (1398). طراحی چارچوبی برای تعیین روششناسیهای مناسب تحقیق در عملیات بهمنظور معماریسازی سیستم. مدیریت صنعتی، 11(2)، 207-232.
1
حسینزاده، مهناز؛ کاظمی، عالیه (1396). شناسایی موانع و راهکارهای بهبود سیستم کارآفرینی زنان با استفاده از رویکردهای تحقیق در عملیات سخت و نرم. مجله علمی و پژوهشی مدیریت صنعتی، 9 (4)، 609-632.
2
رزمی، جعفر؛ حیدریه، سیدعبدالله؛ شهابی، علی (1393). توسعه مدل پذیرش فناوری در بانکداری ایران (پژوهشی پیرامون بانک رفاه). مدیریت صنعتی، 6(3)، 471-490.
3
زارعیان مرادآبادی، بهزاد؛ محمدی گلباغی، معصومه؛ رستمی خرم آبادی، فرزاد (1396). بررسی رابطه بین توانمندسازی کارکنان و پذیرش فناوری اطلاعات در کارکنان بانکهای دولتی. مجله پیشرفتهای نوین در علوم رفتاری. 2(8)، 43-53.
4
عسگری، اعظم (1388). تحلیل تهدیدها و فرصتهای بانکداری الکترونیکی در کشور و تدوین استراتژی فرصتساز برای تبدیل تهدیدات به فرصتها. پایاننامه دولتی، وزارت علوم، تحقیقات، و فناوری، دانشگاه شیراز.
5
گلشاهی، بهنام؛ رستگار، عباسعلی؛ فیض، داود؛ زارعی، عظیمالله (1397). معماری الگوی شناسایی استعدادهای برتر در بنیاد ملی نخبگان: روششناسی الگوریتم ترکیبی SSM و CM. مدیریت صنعتی، 10 (3)، 387-406.
6
منوریان، عباس؛ دیواندری، علی؛ یعقوبی، سعید؛ سپانلو، هادی (1398). توسعه فرامدل خطمشیگذاری بانکداری الکترونیک در شرایط عدم قطعیت. نشریه علمی و پژوهشی مدیریت فرهنگ سازمانی.
7
منوریان، عباس؛ دیواندری، علی؛ یعقوبی، سعید؛ سپانلو، هادی (1398). توصیف و تبیین پدیده خطمشیگذاری بانکداری الکترونیک در ایران با روش نظریهپردازی دادهبنیاد. فصلنامه علمی و پژوهشی فرماندهی و کنترل، 2(۳)، 41-63.
8
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Abooyee Ardakan, M., Mehrgan, M. R., Moeini, A., Shami Zanjani, M., Fahimi, M. (2019). Developing a Framework to Determine Appropriate Methodologies of Operations Research for System Architecting. Industrial Management Journal, 11 (2), 207-232.
10
(in Persian)
11
Asgari, A. (2009). Analysis of Electronic Banking Threats and Opportunities in Iran and Development of Opprtunistic Strategy to Turn Threats to Opprtunities. Thesis for MS. Degree, Ministry of Scince, Research, and Technology, University of Shiraz. (in Persian)
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Ben-Tal, A., El Ghaoui, L., & Nemirovski, A. (2009). Robust Optimization. Woodstock: Princeton University Press.
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Dia, E., & VanHoose, D. (2017). Banking in Macroeconomic Theory and Policy. Journal of Macroeconomics, 54, 149-160.
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Ferreiraa, J., Jalalib, M., & Ferreirab, F. (2017). Enhancing the decision-making virtuous cycle of ethical banking practices using the Choquet integral. Journal of Business Research, 88(C), 492-497.
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Golshahi, B., Rastegar, A., Feiz, D., Zarei, A. (2018). The Architecture of Talent Identifying Process at National Elite Foundation: CM and SSM Hybrid Algorithm, Industrial Management Journal, 10(3), 387-406. (in Persian)
16
Hosseinzadeh, M., Kazemi, A., (2017). Identification of Barriers and Strategies to Improve Women's Entrepreneurship System Using Hard and soft Operation Research Methodologies. Industrial Management Journal, 9 (4), 609-632. (in Persian)
17
Kobler, D., Frick, J., & Celner, A. (2015). Swiss Banking Business Models of the future; Embarking to New Horizons. Deloitte Research Point of View, Zurich. J3178.
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Krainer, R. (2017). Economic Stability under Alternative Banking Systems: Theory and Policy. Journal of Financial Stability, 31, 107-118.
19
Misuraca, G., Broster, D., & Centeno, C. (2012). Digital Europe 2030: Designing scenarios for ICT in future governance and policy making. Government Information Quarterly, 29(1), 121-131.
20
Monavarian, A., Divandari, A., Yaghoubi, S., Sepanloo, H. (2019). Description and Explication of the Electronic Banking Policy-Making in Iran Using Grounded Theory. Journal of Command and Control Communications Computer Intelligence. 2(3), 41-63. (in Persian)
21
Monavarian, A., Divandari, A., Yaghoubi, S., Sepanloo, H. (2019). Developing a Metamodel for Policy Making in Electronic Banking under Uncertainity. Organizational Culture Management. (in Persian)
22
Railiene, G. (2014). The use of IT in relationship banking. Procedia - Social and Behavioral Sciences, 156, 569 – 574.
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Razmi, J., Heydaeriyeh, A., Shahabi, A., (2014). Development of technology acceptance model in Iranian banking (Case study: Refah Bank of Semnan province). Industrial Management Journal, 6(3), 471-790. (in Persian)
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Shaik, A., Glavee-Geo, R., & Karjaluoto, H. (2017). Exploring the nexus between financial sector reforms and the emergence of digital banking culture – Evidences from a developing country. Research in International Business and Finance, 42, 1030-1039.
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Zareian, B., Golbaghi, M., Rostami, F. (2017). Investigation of Relashionship Between Employee Empowermnet and Information Technology Acceptance in Public Banks. The Journal of New Advances in Behavioural Science, 8(2), 43-53. (in Persian)
26
ORIGINAL_ARTICLE
Developing a New Classification Method Based on a Hybrid Machine Learning and Multi Criteria Decision Making Approach
Objective: According to the capability of analytical network process (ANP) in analysis of different dependencies and feedback relationships among elements of a decision problem, the current research aims to develop an ANP based method for the benchmark classification problems. Since the essential limitation of ANP is the increase of inconsistency in judgment of decision makers along with increase in problem dimensions, genetic algorithm is used to optimize ANP parameters and improve classification accuracy. Methods: Considering the objective, this study is a developmental research and in term of data analysis, it’s a quantitative and mathematical modeling one. In this research, first a multi criteria decision making problem is developed based on ANP and in form of a classification problem and then the unknown parameters of a super matrix were calculated by machine learning methods. Next, the most proper values of these parameters which include thresholds of each class and the applied coefficients in the super matrix are estimated based on sample’s benchmarks or data.The following processes have been conducted througha genetic algorithm. Finally, in order to validate the proposed method, its performance is compared to some frequently used classification methods in the reviewed literature. Results: The results indicate the very competitive performance of the proposed method compared to known machine learning methods. Conclusion: Multi-criteria Decision Making Methods (MCDM) are usually used for ranking purposes, however little attention has been paid to their high capabilities. In this paper ANP in combination with genetic algorithm demonstrated an efficient and suitable method in the field of data classification
https://imj.ut.ac.ir/article_75672_a4abfebb1f33d2d847c4f8f19573351d.pdf
2020-02-20
675
692
10.22059/imj.2019.280023.1007586
Classification
Analytical Network Process
Machine learning
Genetic Algorithm
Mahdi
Homayounfar
homayounfar@iaurasht.ac.ir
1
Assistant Prof., Department of Industrial Management, Faculty of Management and Accounting, Rasht Branch, Islamic Azad University, Rasht, Iran.
AUTHOR
Amir
Daneshvar
daneshvar.amir@gmail.com
2
Department of Industrial Management, Faculty of Management, Electronic Branch, Islamic Azad University, Tehran, Iran.
LEAD_AUTHOR
Bijan
Nahavandi
bnahavandi@gmail.com
3
Assistant Prof., Department of Industrial Management, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran.
AUTHOR
Fariba
Fallah
faribafallah94@yahoo.com
4
MSc., Department of Information Technology Management, Faculty of Management, Electronic Branch, Islamic Azad University, Tehran, Iran.
AUTHOR
دانشور، امیر؛ زندیه، مصطفی؛ ناظمی، جمشید (1394). یک روش تکاملی برای طبقهبندی اعتباری مبتنی بر رویکرد تجمیعزدایی ترجیحات. مطالعات مدیریت صنعتی، 13 (4)، 1-34.
1
دانشور، امیر؛ همایونفر، مهدی؛ اخوان، الهام (1398). توسعه روش طبقهبندی دیتاستهای نامتوازن با استفاده از الگوریتمهای تکاملی چندهدفه. مطالعات مدیریت صنعتی، 17 (4)، 161-183.
2
دانشور، امیر؛ همایونفر، مهدی؛ فرهمندنژاد، آنیا (1398). توسعه یک روش هوشمند خوشهبندی چندمعیاره مبتنی بر پرامیتی. چشمانداز مدیریت صنعتی، 9 (4)، 41-61.
3
زرینصدف، مسعود؛ دانشور، امیر (1395). روش کارای یادگیری ترجیحات مبتنی بر مدل ELECTRE TRI بهمنظور طبقهبندی چندمعیار موجودی. مجله مدیریت صنعتی، 8 (2)، 191-216.
4
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ORIGINAL_ARTICLE
Introducing Contextual-Theoretical Model of Project Performance based on Trust in the Relationship Between Client and Contractor
Objective: Considering the problem of construction projects performance weaknesses, the aim of this study is to provide a contextual-theoretical model of project performance based on trust in the client and contractor relationship that simultaneously describes the characteristics of trust, the factors affecting it and its outcomes in achieving project performance. Methods: This study was a developmental applied research and has been conducted through a qualitative method. On this basis, using the grounded theory strategy, data from the target community of this research, which included informants of clients and contractors of Tehran urban construction projects, were collected and analyzed. Results: Based on textual analysis of the interviews, the six derived categories of trust characteristics were: Other party’s ability; Integrity; Benevolence; Having the necessary resources of cooperation; Stability and awareness. Meanwhile, the nine derived categories of factors affecting trust were: Project delivery method quality; Project bid document quality; Project contract quality; Project communication system quality; Other party’s records reliability; Other party’s certificates and credentials reliability; Emotional bond depth with other Party; Close environmental factors performance; and Distant environmental factors performance. Finally, the single derived category of the outcomes of trust in achieving an acceptable performance in a project is the quality of the relationship between a client and a contractor during projectimplementation. Conclusion: The contextual-theoretical model of this study has been extracted by establishing links between derived categories which can contribute to project management literature via generating an understanding of the trust process in the context of urban construction projects, and how it is influenced and it affects the project performance.
https://imj.ut.ac.ir/article_75673_465efaad99755ddda22def39d908dced.pdf
2020-02-20
693
729
10.22059/imj.2019.282469.1007608
trust
Project Performance
Urban construction projects
Grounded theory
Yaser
Goldust Jouybari
y.g.jouybari@modares.ac.ir
1
PhD., Department of Construction and Project Management, Faculty of Art and Architecture, Tarbiat Modares University, Tehran, Iran.
AUTHOR
Mohammad Hossein
Sobhiyah
sobhiyah@modares.ac.ir
2
Department of Construction and Project Management, Faculty of Art and Architecture, Tarbiat Modares University, Tehran, Iran.
LEAD_AUTHOR
Seyed Hamid
Khodadad Hosseini
khodadadd@modares.ac.ir
3
Prof., Department of construction and project Management, Faculty of Art and Architecture, Tarbiat Modares University, Tehran, Iran.
AUTHOR
رنانی، محسن؛ مویدفر، رزیتا (1396). چرخههای افول اخلاق و اقتصاد: سرمایه اجتماعی و توسعه در ایران. تهران: نشر طرح نو.
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سازمان برنامه و بودجه استان تهران (1395). عللتأخیر زمانیاجرای پروژههای عمرانی. تهران: همایش منطقهای توسعه مشارکت عمومی ـ خصوصی.
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فوکردی، رحیم؛ الفت، لعیا؛ رحمانسرشت، حسین (1392). تبیین شرایط حاکم بر مدیریت روابط قدرت در لایه خردهفروشی زنجیره تأمین محصولات غذایی: نظریهای برخاسته از دادهها. نشریه چشمانداز مدیریت بازرگانی، 12(4)، 73- 94.
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کمیسیون برنامه و بودجه شورای اسلامی شهر تهران (1393)،گزارش نظارتی عملکرد 6 ماهه اول سال ۹۳ پروژههای عمرانی شهرداری تهران.
4
گلابچی، محمود؛ محمدی قاضی محله، مهدی (1396). اولویتبندی عوامل اتلاف زمانی و ارائه فرمول پیشبینی میزان اتلاف در پروژههای ساختمانی مسکونی با استفاده از روش لاسو. مدیریت صنعتی، 9(1)، 167- 188.
5
گلدوست جویباری، یاسر؛ صبحیه، محمدحسین؛ خدادادحسینی، سیدحمید؛ شاکری، اقبال؛ امیری، مجتبی (1396). شناخت منابع اعتماد کارفرما به پیمانکار بر پایه ویژگیهای قابلیت اعتماد پیمانکار (مورد مطالعه: پروژههای ساخت شهری تهران). فصلنامه برنامهریزی رفاه و توسعه اجتماعی، 8(31)، 25-79.
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