The purpose of this paper is to measure the effects of intellectual capital components; namely, human capital, structural capital and relational capital on company performance in Iranian auto industry. The study uses a questionnaire consists of 100 questions to cover intellectual capital and company performance in Likert scale and it is distributed among 180 experts in one of Iranian auto industry. Cronbach alphas for intellectual capital components, i.e. human capital, relational capital and structural capital are 0.82, 0.80 and 0.80, respectively. In addition, Cronbach alpha for company performance is 0.82. Using structural equation modeling, the study has determined a positive and meaningful relationship between intellectual capital and company performance. The study has also determined a positive and meaningful relationship between human capital and structural capital. Among components of performance, efficiency maintained the highest effect while innovation represents the minimum effect.

According to the 4th Iran’s development plan, there must an increase in energy prices and removal of subsidies paid to energy sector. Therefore, it is necessary to study the effects of removing subsidies paid on energy on different industries and the subsequent impact on economic growth. This study aims to investigate the effects of subsidies on the market value of listed companies in Tehran Stock Exchange in automotive and cement industries. The study selects two firms, Fars & Khuzestan Cement Co. and Irank Khodro using Auto Regressive Distributed Lags (ARDL) over the period 2008-2013. The results of study have indicated that there was a meaningful relationship between removal of subsidies and market value of the firms.

This paper presents a study to rank different green supplier involved in supplement of electronic parts in auto industry using fuzzy Delphi. The proposed study uses the fuzzy analytic hierarchy process for weighing criteria and VIKOR method to rank the suppliers. The results show that measures of corporate social responsibility, environmental management system, green procurement and green production are the most important criteria for green supplier selection. In addition, product quality, online tracking of orders, delivery time and quality of online information are the most important criteria for choosing a green electronic supplier.

Radio-frequency identification (RFID) is the wireless use of electromagnetic fields to transfer necessary information, for the purposes of automatically identifying and tracking tags attached to various objects. This paper presents a survey to study the role of different factors influencing on RFID implementation in after sales services in auto industry. The study designs a questionnaire and distributes it among 20 managers who work for after sales services in auto industry located in city of Tehran, Iran. Cronbach alpha has been calculated as 0.74, which is well above the minimum acceptable level. Using the existing literature as well as a survey with experts, the study has detected four important factors including management, technical, economic and environmental factors. We also weight all factors and sub-factors using Shannon entropy method.

During the past few years, there have been an increasing competition among auto producers. Customers have experienced emissions misrepresentation activities from well-known auto producers such as Volkswagen and Mitsubishi, and have increased their expectations, accordingly. This paper designs a questionnaire to measure factors influencing on customer satisfaction in Likert scale, and distributes it among 210 randomly selected people who purchased a product from an Iranian Auto maker named SAIPA. The questionnaire was validated by some experts and it was also verified using Cronbach alpha (α = 0.83). Using structural equation modeling with Varimax rotation, the study has detected four groups of factors including car specifications and options, before sales services, after sales services and payment policy, which influence the most on customer satisfaction.

This paper presents an empirical study to investigate the effect of conflict management strategies on development of cooperative culture in one of Iranian auto industries. The proposed study adopts a Putnam and Wilson’s questionnaire (1982) [Putnam, L. L., & Wilson, C. E. (1982). Communication strategies in organizational conflicts: Reliability and validity of a measurement scale. Communication Yearbook, 6, 629-652.] for measuring different components of conflict management. In addition, the study also designs a questionnaire for measuring cooperative culture. Cronbach alphas are calculated for conflict management and cooperative cultures as 0.76 and 0.79, respectively. Using Spearman correlation ratio as well as regression technique, the study has determined that three components of conflict management strategies including cooperation, competition and compromise could significantly contribute of development of cooperative culture.

Information technology plays essential role on the success of organizations; it eases the access on information, reduces time on reaching the necessary information and builds a better communication among different groups of an organization. This paper performed an empirical investigation to find the effects of information technology on strategic management in one of Iranian automakers in after sales services in Iranian auto industry. The proposed study designed questionnaire and distributed among some experts and using t-student test examined the effect of information technology on various factors. The study design a questionnaire in Likert scale and distributes it among some experts and using some statistical observation measures the effects of information technology on various factors. The results have confirmed that information technology influenced on strategy execution and control policy.

One of the primary concerns in product development is to meet customers’ wishes and this could be accomplished through detecting the most popular characteristics of products. In other words, the fulfillment of customers’ preferences in a profitable way needs that companies recognize which specifications of their product and service are most valued by the customer. Conjoint analysis is believed to be one of the most popular techniques for achieving this purpose. Conjoint analysis includes generating and conducting specific experiments among customers for modeling their purchasing decision. This paper presents an empirical investigation on detecting appropriate customer preferences in an auto-industry. The results of the survey indicate that price, braking system and having airbag are the most important characteristics for selling cars in Iranian market.

Radio-frequency identification (RFID) is the wireless non-contact implementation of radio-frequency electromagnetic fields to transfer necessary data to identify and to track tags attached to objects, automatically. RFID has been successfully used for supply chain management (SCM) problems in order to reduce errors associated with inventory. This paper uses RFID technique in five different scenarios of labeling, errors in stolen parts, waste, wrong replacement and delivery. The study uses simulation technique based on Enterprise Dynamics to analyze three parts in an auto industry. The study considers different criteria including inventory error estimation, profitability, profitability, customer satisfaction and SCM performance. The preliminary results indicate that the proposed method is capable of optimizing most objectives, significantly.