Recently, there have been significant development on e-business and nearly all business partners try to offer their products and services via internet. One primary question for the implementation of e-business is to measure the effect of this new facility on supply chain in project based organizations. Although e-business may not directly influence on organizational performance, it definitely influences on unifying customers and suppliers, which yields to a better performance of organizations. This study performs a study to measure the indirect effect of e-business on project based organizational performance. The proposed study of this paper designs a questionnaire and distributes it among 140 professional experts in different industries in province of Ontario, Canada. The survey examines different hypotheses for a possible correlation between e-business and integrated suppliers, e-business and customers, integrated customers and suppliers with organizational performance. The results of this survey indicate a positive relationship between all these components either directly or indirectly.

The objective of the present study is to determine the start times and ordering plans for two-period projects in project-oriented organizations. The following assumptions are made: orders can be placed in either of a project’s two consecutive periods; and the same raw materials are used, which are ordered at the start of the periods according to their interdependent demands. The main innovation of the present research is to develop a model that is mainly based on the two-period newsvendor problem, but assumes that demand is interdependent, i.e. it is actually a combination of inventory and project management. After presenting the model, numerical meth-ods are used to approximate the order quantities for each period. Near-optimal solutions of a numerical example, in a case study on molding industry, are obtained using a genetic algorithm. Results show that the proposed model with interdependent demand provides a better solution than independent demand. The model is applicable to large-scale industrial and construction pro-jects where the majority of raw materials have of the same nature.

Sentiment is a powerful psychological force that can significantly affect employee behavior and performance. However, workplace emotions are still an issue to be studied, especially in the field of sales management in project based organizations. The purpose of this study is to investigate the effect of emotional intelligence and flexibility on the tendency of employees to leave the organization. The method of this research is descriptive correlational and in a survey method and it is a practical purpose. The statistical population of this study includes all 108 employees of the representatives of selected insurance firms in city of Zanjan, Iran. Using Cochran formula, 84 people were selected as the statistical sample. The results have indicated that while there was a positive and meaningful relationship between emotional intelligence and flexibility (r = 0.534, Sig. = 0.000), there were negative and meaningful relationships between flexibility and emotion-al intelligence on one side and intend to leave an organization on the other side.

One of the primary concerns for investment in oil and gas projects is to have a comprehensive understanding on different issues associated with this industry. The industry is mainly influ-enced by the price of oil and gas and in some events, many production units have been forced to shut down solely because of low price of oil and gas. Environmental issues are other important factors, which may put pressure on Canada’s political affairs since the country has strong com-mitment to reduce green gas effect. In this paper, we introduce a multi-criteria decision making method, which helps us rank different projects in terms of investment. The proposed study con-siders different investment factors including net present value, rate of return, benefit-cost analy-sis and payback period along with the intensity of green gas effects for ranking the present oil and gas projects in Canada.

E-governance practices and standardization of processes are significant factors affecting the per-formance of government organizations and undertakings in India. Customer is the backbone of any organization and customer satisfaction is the key for ensuring the success. Using a multiple-criteria decision analysis method named TOPSIS, we attempt to study the impact of e-governance practices on customer satisfaction of Maharashtra Housing and Area Development Authority (MHADA). The method determines the ranking and contribution of different elements in an attempt to determine a suitable strategy for every customer segment. Results show that cus-tomers belonging to Higher Income Group (HIG) and Middle Income Group (MIG) are more satisfied with the Online Mitra Service while the customers of Lower Income Group (LIG) and Economic Weaker Section (EWS) are more inclined towards Process Standardization. In order to remove bias and obtain fairly accurate results the data were collected through questionnaire from every customer segment.

Graphical evaluation and review techniques (GERT) is a technique to study the stochastic nature of networks consists of different branches. In GERT, all branches are explained in terms of the probability that the branch is traversed and the tile to traverse the branch in case it is realized. This paper presents recent advances of the implementation of GERT in various industries. The study presents a comprehensive description of GERT and recent advances on the implementation of GERT in various industries over the period 2002-2017.

Portfolio selection is a business process which has helped organisations identify an area of com-petitive advantage and it is a major concern to industrial players in the banking sectors. In order to enhance bank portfolio selection, cost, profitability, time and location are important parameters that decision-makers often consider. This study implements a fuzzy-TOPSIS (Technique for Or-der Preference by Similarity to Ideal Solution) framework to evaluate three potential portfolios (automated teller machine gallery, quick service point and branch) for a bank using the infor-mation from three decision-makers. An illustrative example of real bank information is used to demonstrate the proposed framework applicability. The complex proportional assessment of al-ternatives (COPRAS) method is also used as an evaluation technique and the results are com-pared, which yields that the results from the ranking order of fuzzy-TOPSIS and COPRAS were different. However, there is a consistency between the aggregation of intuition-based, fuzzy-TOPSIS and COPRAS ranks and fuzzy-TOPSIS ranking results. The presented framework is an easy-to-apply tool that improves portfolio selection decision in the banking system.

Social media are an integral part of modern society and they have become a big industry especial-ly after the emergence of social medias on Mobile devices. It has been a while that most Small and Medium Enterprises (SMEs) have used social medias to promote their business activities. Social medias also supply different facilities for SMEs to help them explore their services on the market. This is more evident for those SMEs whose activities are more project based. The pur-pose of this paper is to find out important factors influencing on building brand using social me-dias for SMEs. The study designs a questionnaire in Likert scale and distributes it among 238 of SMEs’ experts in food industry in city of Tehran, Iran. Using principle component analysis, the study has determined that acquiring knowledge from social media, market approach in mass me-dia, market reaction approach in media, strategic mass media capability and social status influ-ence the most on building brand in SMEs.

Some projects are often performed by many subcontractors that cooperate with each other and some of them are conducted by outsourcing them to several firms; so subcontractors carry out activities in competition. Appropriate trade-off between time and cost and achieving more benefit and cost saving are objectives of both models. In this paper, it is investigated that how different subcontractors of a project can cooperate to achieve more advantages if possible and how sub-contractors can compete to make the results better and find the optimum cost to minimize the time for each of them. The competition here does not mean eliminating a competitor, but the aim is to challenge the contractors in order to choose the best decision. The purpose of this study is to address the challenges in time and cost management and to find more profit allocation among subcontractors and fair competition for fair allocation as well. A model based on cooperative game theory in time/cost trade-off problem of projects is suggested and then a competition model among subcontractors based on non-cooperative game theory is proposed. A case study is rep-resented to comprehensively illustrate the problem, the cooperative techniques of cooperative game theory, and the payoff matrix of non-cooperative model among subcontractors. Results of the proposed model reveal that subcontractors can obtain higher profit from cooperation if pos-sible. When they outsource the project and compete with each other, they must consider the in-teraction activities and choose the best strategies for cost saving and gain more reward from the client. Moreover, it is found that some techniques such as Shapley value, Core, Max-Min Core, or Equal Profit Method (EPM) are able to fairly assign extra profit of cooperation, and using the payoff matrix, Nash equilibrium, and Nash bargaining helps to find the optimum point to mini-mize time and cost for interaction activities state.

Project selection is considered as the first essential part of project portfolio management. Project selection is also considered as a process to evaluate each project idea and chooses the one with the biggest priority. Project selection plays an essential role in the entire life cycle of different projects. This paper presents a survey for project selection using multiple criteria decision mak-ing techniques. The study considers 60 papers from over the period 1980-2017. The results of the survey have indicated that integration of Order of Preference by Similarity to Ideal Solution (TOPSIS) and analytical hierarchy process/analytical network process was the most popular techniques for project selection followed by VIKOR method.