فعالیت در نهادهای مالی و بازار سرمایه، یکی از پر استرس‌ترین و حساس‌ترین شغل‌های دنیاست. با توجه به اهمیت نقش منابع انسانی در عملکرد و رویدادهای بازار سرمایه، در این پژوهش سعی بر ارائه مدلی جهت تحلیل و سنجش ریسک‌های بحرانی منابع انسانی بر مبنای FMEAفازی و اصل پارتو در بازار سرمایه شده است. بدین منظور در گام نخست، به شناسایی ابعاد چندگانه ریسک‌ها از طریق مصاحبه نیمه ساختار یافته در بازار سرمایه پرداخته و به وسیله تکنیک مدل‌یابی معادلات ساختاری با نرم‌افزارSmart-PLS‌‌‌‌، عوامل موثر بر ریسک منابع انسانی شناسایی و برازش مدل صورت پذیرفت. در گام بعد، ریسک فاکتورهای عدد RPN از طریق روشFMEA با استفاده از مفهوم منطق فازی تعیین و در نهایت بر اساس روش FMEAفازی ریسک‌های منابع انسانی اندازه‌گیری‌شده و به وسیله اصل پارتو ریسک‌های بحرانی شناسایی گردید. نتایج پژوهش حاکی از آن است که اهم ریسک‌‌‌های بحرانی منابع انسانی در بازار سرمایه به ترتیب رفتارهای غیراخلاقی (تقلب مالی)، رهبری ضعیف و قوانین و خط مشی‌های نادرست است. تفاصيل المقالة

The primary purpose of this paper is to highlight for the research community and practitioners the various aspects of using VMI-type supply chains in today’s business environment as well as a number of directions for future studies. In this regard, fifty articles published in major international journals, beginning in 1995, which contribute to the VMI-type supply chains are reviewed via a systematic review methodology. Our findings show there is an incremental growth in employing of VMI strategies in logistic and supply chains. This paper characterizes the design aspects required to configure and establish a VMI-type supply chain in the industry including demand pattern, number of products, contract type between two parties, and profit sharing scheme. Moreover, the current gaps on the current state of VMI-type supply chain in literature are highlighted in last section of this paper that may motivate future studies. تفاصيل المقالة

Due to the increasing competition of globalization, selection of the most appropriate supplier is one of the key factors for asupply chain management’s success. Due to conflicting evaluations and insufficient information about the criteria, Intuitionisticfuzzy sets (IFSs) considered as animpressive tool and utilized to specify the relative importance of the criteria. The aim of this paper is to develop a new approach for solving the decision making processes. Thusan intuitionistic fuzzy multi-criteria group decision making approach is proposed. Interval-valued intuitionistic fuzzy ordered weighted aggregation (IIFOWA) is utilized to aggregate individual opinions of decision makers into a group opinion. A linear programming model is used to obtain the weights of the criteria.Then acombined approach based onGRAand TOPSIS method is introduced and applied to the ranking and selection of the alternatives. Finally a numerical example for supplier selection is given to illustrate the feasibility and effectiveness of the proposed method. A combined method based on GRA and TOPSIS associated with intuitionistic fuzzy set has enormous chance of success for multi-criteria decision-making problems due to containing vague perception of decision makers’ opinions. Therefore, in future, intuitionistic fuzzy set can be used for dealing with uncertainty in multi-criteria decision-making problems such as project selection, manufacturing systems, pattern recognition, medical diagnosis and many other areas of management decision problems. تفاصيل المقالة

This paper presents a competitive supply chain network design problem in which one, two, or three supply chains are planning to enter the price-dependent markets simultaneously in uncertain environments and decide to set the prices and shape their networks. The chains produce competitive products either identical or highly substitutable. Fuzzy multi-level mixed integer programming is used to model the competition modes, and then the models are converted into an integrated bi-level one to be solved, in which the inner part sets the prices in dynamic competition and the outer part shapes the network cooperatively.Finally, a real-world problem is investigatedto illustrate how the bi-level model works and discuss how price, market share, total income, and supply chain network behave with respect to key marketing activities such as advertising, promotions, and brand loyalty. تفاصيل المقالة

A characteristic of Data Envelopment Analysis (DEA) is to allow individual decision making units (DMUs) to select the factor weights which are the most advantageous for them in calculating their efficiency scores. This flexibility in selecting the weights, on the other hand, deters the comparison among DMUs on a common base. For dealing with this difficulty and assessing all the DMUs on the same scale, this paper proposes using a multiple objective linear programming (MOLP) approach based on scalarizing function for generating common set of weights under the DEA framework. This is an advantageous of the proposed approach against general approaches in the literature which are based on multiple objective nonlinear programming. تفاصيل المقالة

This paper aims to conduct a research on the labor-management negotiation in chicken evolutionary game models through catastrophe theory. The both players can compromise or not during the negotiation. The "no compromise" strategy for labor means threat to strike and for management is ignoring labors' demands. Since the model of this research is chicken game, if on player decides to dig in, the optimum decision for other is to compromise, however it is costly to be calling a chicken by the rivals. In the process of evolution, players reevaluate their options to update the payoffs in case of gradual and continuous changes which may happen in effective variables of strategy selection. The continuous changes could cause a catastrophic change in system’s state and its collapse by a strike or lockout. ESS analysis and determining catastrophe threshold in the chicken evolutionary game will be done with the aim of giving managerial insights that help the players to prevent making decisions that could cause unsuccessful negotiation. تفاصيل المقالة