Consumer perception plays essential role for market development. Consumer perception can be defined as a marketing concept, which includes a customer & apos; s impression, awareness and/or consciousness about a firm or its offerings. This paper investigates the effect of customer relationship management factors on consumer perception in Iranian banking industry. The study designs a questionnaire in Likert scale and distributes it among 300 randomly selected managers who worked for Bank Saderat Iran. Cronbach alpha has been calculated as 0.788, which is well above the minimum acceptable level. Using principal component analysis, the study has determined that six factors influences the most on consumer perception; namely: Customer oriented, Organizational strategy, Organizational resources, Organizational structure and Organizational culture.

Flexibility has been cited as a key factor to enhance the performance of flexible manufacturing sys-tem (FMS). The main aim of this paper is to rank the flexibility of FMS. The ranking decisions are complex in the manufacturing field to analyze a number of alternatives based on a set of some attributes. In this research, two MADM methods i.e. MOORA (i.e. multi-objective optimization on the basis of ratio analysis) and weighted Euclidean distance based approach (WEDBA) are used for ranking of flexibility in FMS for new part development. MOORA approach can give de-cision with or without considering relative importance of attributes i.e. attribute weights. While in WEDBA, integrated attribute weights are used for evaluation which included the subjective and objective weights of attributes. Objective weights are calculated by entropy method and subjective weights are calculated by analytic hierarchy process. MOORA is applied in two ways i.e. ratio based and reference point analysis. Ranking of fifteen flexibility of FMS done on the basis fifteen variables which effect flexibility of FMS. The results of MOORA and WEDBA approach shows that product flexibility has the top most flexibility in fifteen flexibilities and programme flexibility has the least impact in fifteen flexibilities.

This paper investigates the impact of corporate governance on firm value measured by Tobin’s Q. Different corporate governance proxies i.e. board size, board independence, audit committee and CEO duality are interacted with firm value. A sample of 91 nonfinancial firms listed on KSE was selected over the period 2010-2014. The findings of the study show that board size and CEO duality had negative impacts on firm value. Moreover, board size, non-executive directors and audit committee had positive and significant impacts on firm value.

Risk management plays an important role on the success of the any project. There are several techniques, which are available to help different phases of risk management process. This paper presents a survey to identify the necessary tools, which are mostly implemented and related to the success of any project management, and more specifically with effective project risk management. The survey is based on a questionnaire designed to a sample of project managers from the construction industries. The response data was studied to determine which tools are more used in the organizations, which could yield a better project management performance.

A value chain is a chain of necessary activities that a company operating in a specific industry executes in order to deliver a valuable product or service for the market. Value chain plays essential role for development of a successful business unit. This paper presents an empirical investigation to study the effects of value chain on capabilities of knowledge production, implementation and distribution. The impact is also studied for effective knowledge implementation for economic development. Using historical economic data of World Bank database gathered from member countries of the Organization of Islamic Cooperation, the study has detected positive and meaningful effects of Value Chain Presence on Knowledge Economy Index and Knowledge Index.

A systematic approach to the inventory control and classification may have a significant influence on company competitiveness. In practice, all inventories cannot be controlled with equal attention. In order to efficiently control the inventory items and to determine the suitable ordering policies for them, multi-criteria inventory classification is used. In this paper, fuzzy analytic hierarchy process for multiple criteria ABC inventory classification has been proposed. Fuzzy Analytic Hierarchy process (Fuzzy AHP) is used to determine the relative weights of the attributes or criteria, and to classify inventories into different categories. To accredit the proposed model, it is implemented for the 351 raw materials of switch gear section of Energypac Engineering Limited (EEL), a large power engineering company of Bangladesh. In this approach, at first, related criteria have been selected (Unit price, last year consumption or annual demand, last use date, supplier, criticality, durability) and the weights of these criteria was determined using Fuzzy AHP. Then a score to each item was assigned for each criterion as triangular fuzzy number and the final normalized weighted score of each item using fuzzy set theory is calculate. Finally, Chang’s extent analysis was used for the comparison of fuzzy numbers and the final scores are compared with each other. Then all items were classified into three classes according to their final score.

Selection of an appropriate contractor plays an important role for the success of the accomplish-ment of any construction project. This paper presents a multi-criteria decision making method for contractor selection. The proposed study uses six criteria, namely; Experience, Financial stability, Quality performance, Manpower resources, Equipment resources and Current workload for evaluating different contractors. Using analytical hierarchy process, the study ranks these criteria and finds the relative importance of them. Next, The technique for Order of Preference by Simi-larity to ideal Solution (TOPSIS) is used to rank the alternative contractors according to these criteria.

In this work, a variety of highly substituted quinolines were readily synthesized via Friedlander annulation using Br?nsted acid silica-based sulfonic acid as a modified catalyst under solvent-free conditions at room temperature. This efficient procedure has the advantages of giving the target compounds in high yields, short reaction times, simple workup procedure, reusability of the catalyst, and environmentally benign conditions.

The purpose of conducting this research is to establish a conceptual model to improve the performance of new product development in organizations regarding variables of disruptive innovation, team vision, knowledge management, and fuzzy-front end. In this research, the structural equation modelling (SEM) is used to study the model. Also, the explanatory and confirmatory factor analysis are used to extract dimensions of fuzzy-front end and disruptive innovation variables. Research data have been gathered from 109 experts of development and research department of Iran Khodro manufacturing company. The results of research show that disruptive innovation may have very impressive effects on new product development performance. Also, team approach has direct effect on fuzzy-front end. On the other hand, knowledge management has a key role in new product development and organizations can increase the efficiency of new product development by managing their knowledge and sharing them and guarantee the organization success.

One of the primary tools for asset evaluation on stock market is to use price-to-earnings (P/E) ratio. The method is simple and has become popular among many investors for buy/sell decisions. In this paper, we present a comprehensive review on recent advances on the use of P/E ratio for measuring other firms’ characteristics. The survey has reviewed several studies on the relationship between P/E ratio and stock performance, estimation of transaction data, insider transaction, future growth, firm size, interest ratio, book-to-market equity, etc.