Mahmoud Dehghan Nayeri

@modares.ac.ir

Industrial Management/Management and economics faculty
Tarbiat Modares University

Mahmoud Dehghan Nayeri


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https://researchid.co/mdnayeri
20

Scopus Publications

1186

Scholar Citations

13

Scholar h-index

20

Scholar i10-index

Scopus Publications

  • Comparison across X, Y and Z generation employees’ attraction and retention factors: multigroup analysis (MGA)
    Mahmoud Dehghan Nayeri, Alireza Sadeghpour Firouzabad, Sedigheh Safari
    International Journal of Organizational Analysis, 2026
    Purpose The viability of a firm in today’s HRM depends on understanding the varying demands and preferences of its workforce across generations. A company’s ability to retain employees from generations X, Y and Z may be affected by different factors, respectively. In addition to explaining how these generations influence the employees’ purpose to stay with the organization, the study attempts to discover the aspects that contribute to individuals’ attraction and retention. Design/methodology/approach To do this, a thorough literature analysis was used to obtain a list of the influential elements, and then the fuzzy Delphi approach was employed to filter the list concerning the community under research. Afterward, a comparison of all three employee generations was made using the PLS multigroup analysis technique. Findings There is no statistically significant difference between generations X and Y, according to the findings, despite variances between generations [X, Z] and [Y, Z]. Clear professional path growth and career enrichment were the most significant elements that contributed to the differences between the groups under examination. Originality/value To the best of the authors’ knowledge, this study is one of the first studies that, by bringing together all three generations of employees of a company, seeks to find the most important components of attraction and retention for each of the generations and compare them with each other.
  • A systematic review of the association between competitive strategies, quality management, and non-financial and financial performance
    Zhenia Tahmasebinia, Mahmoud Dehghan Nayeri, Foozhan Tahmasebinia
    International Journal of Productivity and Quality Management, 2026
    This study aims to systematically examine the relationship between quality management, competitive strategies (cost leadership, concentration, and differentiation), and performance (non-financial and financial). The Web of Science platform and Scopus database were used for collecting the data, and 127 articles were finally chosen from these two important databases. Our analysis shows a positive relationship between quality management, competitive strategies (cost leadership, focus, and differentiation), and non-financial and financial performance. Based on our investigation, our proposal includes both direct and indirect connections between the aforementioned concepts. This research presents several novel contributions: examining the associations between the above-mentioned concepts and thereby helping to strengthen their theoretical framework. In addition, the study proposed combining quality management practices with competitive strategies to enhance non-financial performance and then improve financial performance to survive in a constantly changing competitive environment.
  • Bank Client Credit Scoring, Along With Loan Parameters Optimization Using the Simulation-Optimization Model
    Amir Khorrami, Mahmoud Dehghan Nayeri, Ali Rajabzadeh
    Journal of Mathematics and Modeling in Finance, 2025
    This study assesses a new simulation-optimization method for credit scoring and bank loan parameter optimization. The proposed approach encompasses data preparation, credit scoring, and simulation-optimization stages. Initially, data regarding bank loans and company financial statements are collected and relevant features are calculated. The Minimum Redundancy Maximum Relevance (MRMR) algorithm selects the most critical features. Subsequently, classification methods including logistic regression (LR), K-nearest neighbor (KNN), artificial neural network (ANN), adaptive boosting (AdaBoost), and random forest (RF) are employed to address the credit scoring problem. These models' performance is evaluated using accuracy, F1-score, and area under curve (AUC) criteria, with the best-performing model selected for subsequent stages. During simulation-optimization, optimal loan features are determined to minimize default rates by treating loan size, interest rate, and repayment period as optimization variables. The memetic algorithm (MA) solves this optimization problem in four cases, utilizing a pre-trained credit scoring model to estimate client default probability. A case study involving 1000 legal clients of an Iranian commercial bank demonstrated that 11 features were selected from 30 defined features for credit scoring. The RF method outperformed other credit scoring models. The simulation-optimization approach reduced default rates from 38% to 20% through decreased loan size and interest rates, coupled with extended repayment periods. These results confirm the method's effectiveness in reducing banking credit risk.
  • Prediction of Uncertain Parameters of a Sustainable Supply Chain Using an Artificial Intelligence Approach
    Massoumeh Nazari, Mahmoud Dehghan Nayeri, Kiamars Fathi Hafshjani
    Operations Research Forum, 2025
  • Optimal joint dynamic pricing and inventory replenishment policy for perishable products with freshness-sensitive demand
    Mahmoud Dehghan Nayeri, Roghayeh Haddad
    International Journal of Mathematics in Operational Research, 2025
    This paper aims to propose a mathematical model for joint pricing and inventory replenishment decisions of a retailer who faces a freshness-sensitive demand. The retailer has the option to submit fast replenishment orders with lower profit margins to other peer retailers within the short lifecycle of the perishable products in addition to the regular replenishment orders that take place at the start of the lifecycle. Also, the retailer can sell the end-of-season perished product at lower prices. The proposed model is capable of handling different types of demand and freshness functions. To show the applicability of the proposed model, it is used to optimise pricing, discounting, inventory, and replenishment decisions of two product categories of a major retailer in Iran using real-world data. Results indicate that the retailer should pursue a specific joint pricing and replenishment strategy in each product category. A sensitivity analysis is also performed for initial inventory and initial price for each of the categories. Results revealed that each of the factors contributes differently to the total profit in each category. The total profit showed a different level of sensitivity to changes in the two aforementioned tweaked parameters.
  • Correction: Developing mathematical models and intelligent sustainable supply chains by uncertain parameters and algorithms (AIMS Mathematics, (2024), 9, 3, (5204–5233), 10.3934/math.2024252)
    Massoumeh Nazari, Mahmoud Dehghan Nayeri, Kiamars Fathi Hafshjani
    Aims Mathematics, 2024
  • Developing mathematical models and intelligent sustainable supply chains by uncertain parameters and algorithms
    Massoumeh Nazari, Mahmoud Dehghan Nayeri, Kiamars Fathi Hafshjani
    Aims Mathematics, 2024
    <p>In the modern era, uncertainty is a common feature of modeling techniques for designing sustainable supply chains. The increasing severity of environmental issues necessitates the integration of sustainable production in supply chain management. The present study aims to develop mathematical models and intelligent sustainable supply chains with uncertain parameters and algorithms. The goal is to design a sustainable and eco-friendly model that minimizes environmental contaminants and system costs. This descriptive-analytical study employs a novel hybrid technique to manage the uncertainty associated with the model parameters, research problems, and problem complexity, and tackle large-scale problems. The automotive industry was selected to implement the mathematical model. These combined techniques consider the disruption-induced capacity reduction and the uncertainties surrounding shipping costs and demand. Results suggest that hybrid models and techniques are efficient in solving large-scale problems and delivering high-quality processing. Further, the findings show that heuristic solutions can significantly reduce computation time for larger problems.</p>
  • The drivers of success in new-service development: rough set theory approach
    Mahmoud Dehghan Nayeri, Moein Khazaei, Dania Abdolahbeigi
    International Journal of Services and Operations Management, 2022
    This paper aims to identify the most affecting factors in the service industry's new service development (NSD). Accordingly, it deploys an exploratory research method employing a rough set theory. To this aim, it assesses the NSD maturity level of 30 service firms in response to the extent of the literature-based NSD affecting factors. The NSD maturity was estimated according to Jin et al. (2014), including four areas of customer involvement, strategic, knowledge management, and required process documentation. Accordingly, the rough set approach employed to scrutinise the relationship between the affecting factors and the studied firms' NSD maturity. Findings prove that innovation is the core of the NSD process since it was the most frequent within all RS reductions. Moreover, the organisation's strategic orientation and maturity, and market orientation are the most significant determinants of firms' future NSD potential.
  • Developing a Multi-methodology for Conflict Resolution: Case of Yemen’s Humanitarian Crisis
    M. Nassereddine, M. A. Ellakkis, A. Azar, M. D. Nayeri
    Group Decision and Negotiation, 2021
  • Golden eagle optimizer: A nature-inspired metaheuristic algorithm
    Abdolkarim Mohammadi-Balani, Mahmoud Dehghan Nayeri, Adel Azar, Mohammadreza Taghizadeh-Yazdi
    Computers and Industrial Engineering, 2021
  • The Critical Heuristics of Iranian Banking Credit System: Analysis of the Antithetical Opinions of the Beneficiaries
    Mahmoud Dehghan Nayeri, Moein Khazaei, Fatemeh Alinasab-Imani
    Systemic Practice and Action Research, 2020
  • A multi-objective mean–variance mathematical programming approach to combined phase-out and clearance pricing strategy for seasonal products: case study of a Jeans retailer
    Mahmoud Dehghan Nayeri, Amir-Nader Haghbin, Abdolkarim Mohammadi-Balani, Karim Bayat
    Journal of Revenue and Pricing Management, 2020
  • Application of Viable System Model in Diagnosis of Organizational Structure
    Zeinab Rezaee, Adel Azar, Abbas Moghbel Ba Erz, Mahmoud Dehghan Nayeri
    Systemic Practice and Action Research, 2019
  • Developing a performance-based budgeting maturity model and constructing a DEA-based composite indicator to measure it’s score
    Mohammadreza Amini, Adel Azar, Mahmoud Dehghan Nayeri, Karim Bayat
    Industrial Engineering and Management Systems, 2019
  • Integrating Strategic and Tactical Decisions to Robust Designing of Cellular Manufacturing under Uncertainty: Fixed Suppliers in Supply Chain
    V.R. Ghezavati, S.J. Sadjadi, M. Dehghan Nayeri
    International Journal of Computational Intelligence Systems, 2011
  • Integrating Strategic and Tactical Decisions to Robust Designing of Cellular Manufacturing under Uncertainty: Fixed Suppliers in Supply Chain
    V.R Ghezavati, S.J. Sadjadi, M. Dehghan Nayeri
    International Journal of Computational Intelligence Systems, 2011
  • Value-relevance of accounting information: Evidence from iranian emerging stock exchange
    World Academy of Science Engineering and Technology, 2011
  • Robust regression and its application in financial data analysis
    World Academy of Science Engineering and Technology, 2010
  • An optimisational model of benchmarking
    Mohammad Reza Mehregan, Mahmoud Dehghan Nayeri, Vahid Reza Ghezavati
    Benchmarking, 2010
  • A model for stakeholder-oriented benchmarking process
    K. Mohajeri, M.D. Nayeri, M.M. Mashhadi
    Journal of Applied Sciences, 2009

RECENT SCHOLAR PUBLICATIONS

  • Mapping Income Generation through Digital Currencies in Iran Using the Strategic Options Development and Analysis (SODA) Approach
    H Arabameri, M Momeni, M Dehghan Nayeri
    Economic Research and Perspectives 26 (1), 39-67 , 2026
    2026
  • Comparison across X, Y and Z generation employees’ attraction and retention factors: multigroup analysis (MGA)
    M Dehghan Nayeri, A Sadeghpour Firouzabad, S Safari
    International Journal of Organizational Analysis 34 (2), 385-414 , 2026
    2026
    Citations: 6
  • A systematic review of the association between competitive strategies, quality management, and non-financial and financial performance
    Z Tahmasebinia, MD Nayeri, F Tahmasebinia
    International Journal of Productivity and Quality Management 48 (1), 36-89 , 2026
    2026
  • Intelligent Design of Hybrid Renewable Energy Systems Employing a Fuzzy Inference System Approach
    A Sadeghi Kiadehi, M Dehghan Nayeri, A Rajabzadeh Ghatarmi
    Industrial Management Journal 18 (1), 55-83 , 2026
    2026
  • Designing a Participatory Decision-Making Framework with an Islamic Approach
    M Azizi, M Dehghan Nayeri
    Religion, Management, & Governance 4 (1), 1-38 , 2025
    2025
  • Bank Client Credit Scoring, Along With Loan Parameters Optimization Using the Simulation-Optimization Model
    A Khorrami, M Dehghan Nayeri, A Rajabzadeh
    Journal of Mathematics and Modeling in Finance, 107-129 , 2025
    2025
  • Modeling Social Welfare Functions Aligned with Income Taxation
    S Ghods, A Rajabzadeh, M Dehghan Nayeri
    Industrial Management Journal 17 (3), 203-231 , 2025
    2025
  • Design and Explain the Development Model of Knowledge Workers in the Forth Industrial Revolution
    M Dehghan Nayeri, A Rajabzadeh Ghatari, K Mostafaee Dolatabad, ...
    Journal of Research in Human Resources Management 17 (1), 101-135 , 2025
    2025
  • Designing an Optimization-Simulation Model for Credit Scoring and Loan Structuring Using a Memetic Algorithm: A Case Study of Corporate Banking Clients
    A Khorrami, M Dehghan Nayeri, A Rajabzadeh
    Industrial Management Journal 17 (2), 27-57 , 2025
    2025
  • Bank Client Credit Scoring along with Facility Parameters Optimization using the Simulation-Optimization Model
    A Khorrami, M Dehghan Nayeri, A Rajabzade
    Modern Research in Decision Making 10 (1), 31-65 , 2025
    2025
    Citations: 1
  • Innovation in formulating a sustainable strategy for water resources management in the agricultural industry employing a multidimensional approach
    S Nabegh Vatan, M Dehghan Nayeri, K Mostafaee Dolatabad
    Management Research in Iran 29 (1), 23-46 , 2025
    2025
  • Identifying the framework and a business conceptual model for the oil and gas fields development: value chain approach
    M Monfared, M Dehghan Nayeri, A Rajabzadeh
    Organizational Resources Management Researches 14 (4), 127-159 , 2025
    2025
  • Designing and Explain a model for the development of youth job skills in the Fourth Industrial Revolution
    H Abdollahi, M Dehghan Nayeri, A Rajabzadeh Ghatari, K Mostafaee
    Strategic Studies on Youth and Sports 23 (66), 525-562 , 2025
    2025
  • Prediction of uncertain parameters of a sustainable supply chain using an artificial intelligence approach
    M Nazari, M Dehghan Nayeri, K Fathi Hafshjani
    Operations Research Forum 6 (1), 16 , 2025
    2025
    Citations: 7
  • Optimal joint dynamic pricing and inventory replenishment policy for perishable products with freshness-sensitive demand
    MD Nayeri, R Haddad
    International Journal of Mathematics in Operational Research 31 (2), 263-281 , 2025
    2025
    Citations: 1
  • A Framework for Identifying and Analyzing the Effective Drivers on the Future of Financial Technology Startups
    M Rajabifar, M Dehghan Nayeri, MR Pour Fakharan, MH Maleki
    Sciences and Techniques of Information Management 10 (4), 103-136 , 2024
    2024
  • Developing a Multi‑methodology for Identification and Prioritization of Supply Chain Marketing Strategies for Biotechnology Knowledge-based Companies
    A Deirani, A Rajabzadeh Ghatari, M Dehghan Nayeri, M Nassereddine
    Journal of Systems Thinking in Practice 3 (4), 36-62 , 2024
    2024
  • A bi-objective optimization model to design a cold and green network of the multi-product, multi-level and multi-period pharmaceutical supply chain, taking into account the …
    F Aminizade, A Rajabzadeh, M Dehghan Nayeri
    Journal of Industrial Management Perspective 14 (4), 98-120 , 2024
    2024
  • Co-citation Analysis of Organizational Forgetting and Cognitive Mindset Factors Influencing it with a SODA Approach (Case Study: Khark Oil Company)
    Z Yousefi, A Moshabaki Esfahani, M Dehghan Nayeri
    Human Capital Assessment and Development 1 (2), e219014 , 2024
    2024
  • Presenting a Bi-objective mathematical model of a sustainable supply chain based on uncertainty parameters (capacity reduction due to disruption, shipping, and demand costs)
    M Nazari, M Dehghan Nayeri, K Fathi Hafshejani
    Organizational Resources Management Researches 14 (2), 145-176 , 2024
    2024

MOST CITED SCHOLAR PUBLICATIONS

  • Golden eagle optimizer: A nature-inspired metaheuristic algorithm
    A Mohammadi-Balani, MD Nayeri, A Azar, M Taghizadeh-Yazdi
    Computers & Industrial Engineering 152, 107050 , 2021
    2021
    Citations: 540
  • Universities strategic evaluation using balanced scorecard
    MD Nayeri, MM Mashhadi, K Mohajeri
    World Academy of Science, Engineering and Technology 37 (1), 332-334 , 2008
    2008
    Citations: 92
  • A quality-oriented approach toward strategic positioning in higher education institutions
    MM Mashhadi, K Mohajeri, MD Nayeri
    Proceedings of World Academy of Science, Engineering and Technology 37 , 2008
    2008
    Citations: 56
  • Investigation of attitudes about corporate social responsibility: Business students in Iran
    TH Gholipour, MD Nayeri, SMM Mehdi
    African Journal of Business Management 6 (14), 5105 , 2012
    2012
    Citations: 39
  • Application of viable system model in diagnosis of organizational structure
    Z Rezaee, A Azar, AMB Erz, MD Nayeri
    Systemic Practice and Action Research 32 (3), 273-295 , 2019
    2019
    Citations: 33
  • Factors affecting the value relevance of accounting information
    MD Nayeri, AF Ghayoumi, MA Bidari
    International Journal of Academic Research in Accounting, Finance and … , 2012
    2012
    Citations: 28
  • Value relevance of accounting information: evidence from Iranian emerging stock exchange
    AF Ghayoumi, MD Nayeri, M Ansari, T Raeesi
    World Academy of Science, Engineering and Technology 78, 124-129 , 2011
    2011
    Citations: 28
  • The critical heuristics of iranian banking credit system: analysis of the antithetical opinions of the beneficiaries
    M Dehghan Nayeri, M Khazaei, F Alinasab-Imani
    Systemic Practice and Action Research 33 (3), 363-392 , 2020
    2020
    Citations: 27
  • An optimisational model of benchmarking
    M Reza Mehregan, M Dehghan Nayeri, V Reza Ghezavati
    Benchmarking: An International Journal 17 (6), 876-888 , 2010
    2010
    Citations: 27
  • The drivers of success in new-service development: Rough set theory approach
    MD Nayeri, M Khazaei, D Abdolahbeigi
    International Journal of Services and Operations Management 43 (4), 421-439 , 2022
    2022
    Citations: 23
  • Participatory decision making in the post COVID-19 period
    M Azizi, A Azar, M Dehghan Nayeri
    Modern Research in Decision Making 5 (2), 165-192 , 2020
    2020
    Citations: 14
  • Developing a performance-based budgeting maturity model and constructing a DEA-based composite indicator to measure it’s score
    M Amini, A Azar, MD Nayeri, K Bayat
    Industrial Engineering and Management Systems 18 (1), 143-153 , 2019
    2019
    Citations: 14
  • Critical Systems Heuristics (CSH) to Deal with Stakeholders' Contradictory Viewpoints of Iran Performance Based Budgeting System
    M Dehghan Nayeri, M Khazaei, F Alinasab Imani
    Industrial Management Journal 10 (3), 429-454 , 2018
    2018
    Citations: 14
  • Designing organizational innovation measuring model with dynamic network DEA (case study: Iranian First Level Universities)
    AH Gharib, A Azar, A Moghbel Ba Erz, M Dehghan Nayeri
    Journal of Industrial Management Perspective 9 (1), 9-29 , 2019
    2019
    Citations: 12
  • Developing a network Data Envelopment Analysis approach to compare the environmental efficiency of active industries in Tehran
    A Omid, A Azar, M Dehghan Nayeri, A Moghbel
    Management Research in Iran 25 (3), 193-216 , 2021
    2021
    Citations: 11
  • Investigation on XBRL adoption based on TOE model
    M Rostami, MD Nayeri
    Br. J. Econ. Manag. Trade 7 (4), 269-278 , 2015
    2015
    Citations: 11
  • Integrating strategic and tactical decisions to robust designing of cellular manufacturing under uncertainty: fixed suppliers in supply chain
    VR Ghezavati, SJ Sadjadi, MD Nayeri
    International Journal of Computational Intelligence Systems 4 (5), 837-854 , 2011
    2011
    Citations: 11
  • Diagnosing organizational structure based on the viable system model (VSM)
    Z Rezaee, A Azar, A Moghbel, M Dehghan Nayeri
    Modern research in decision making 3 (1), 187-215 , 2018
    2018
    Citations: 10
  • Effectiveness of Six Sigma methodology through BSC in banking industry
    MD Nayeri, M Rostami
    Journal of Asian Business Strategy 6 (1), 13-21 , 2016
    2016
    Citations: 10
  • A model for stakeholder-oriented benchmarking process
    K Mohajeri, MD Nayeri, MM Mashhadi
    Journal of Applied Sciences 9 (2), 237-247 , 2009
    2009
    Citations: 10