JOURNAL OF INDUSTRIAL STRATEGIC MANAGEMENT (PAJOUHESHGAR)
Year:2010 | Volume:7 | Issue:18|Papers Count:9

Data envelopment analysis (DEA) is a methodology for identifying the efficient frontier of production possibility set. Using the efficient frontier, an efficiency score is derived to each decision making units. The efficiency of a DMU is a scalar measure ranging between zero and one. In this study, by using efficient and inefficient frontier and achieved weight from Analytic Hierarchy Process, another model, called Inverted DEA (IDEA), is introduced that calculate the amount of inefficiency of each decision making units.

The purpose of this article is to identify and measure organizational trust and its effective factors. initial litterateur study has shown factors like job group, alternative job opportunities, marriage, background in organization, salary, perceived decentralization by employees, autonomy, job recurrences, employee’s supervisor satisfaction, gender, and age can influence organizational trust.  Lutance’ questionnaire was used for measuring organizational trust amount. Morgan table for sample volume and categorial random and random methods for selecting samples were used. Statistical methods have been spearman’s rank correlation coefficient, nonparametric tests of Mann- Whitney U, and Kruscal – Wallis. Hypothesis test results show that recurrences, employees’ supervisor satisfaction, autonomy, and perceived decentralization have significant relation to organizational trust and men’s organizational trust is more than women’s and trust amount of research unit was more than other units.

Stock price in capital markets is affected by received good and bad news from the companies. Diagnostic of effective news and figuring out its importance based on stock price sensitivity, is one of the desires of investors and capital market researches.The purpose of this research is to study the news and information resulted from financial reports in TSE in the frame of financial ratios and finding the influence amount of these ratios on the studied companies’ stock prices. For this purpose financial information of 97 accepted producing companies in TSE, were used for a fragmented period of 1378-1383. The research hypothesizes were tested by applying multivariable regression and lagged variables model in two whole and industry separated levels. The result of hypothesizes test show that in the whole companies level, ROA and ROE ratios have significant effect on stock price but financial leverage does not.  In the separated industries level, the effect results of financial ratios, on stock price, was different in each industry indicating the independence of industries from each other.

Six sigma is increasingly used for different processes from production to services and different transaction activities. It has proved to reduce process variables and failure rate for all critical processes for the purpose of development in process operations which results in required investment I final line of organization (Jiju Antony,2004). This article starts by literature review of the title, then the findings are shown for better realization of challenges regarding six sigma implementation methodologies, and at the end some requirements for successful six sigma implementation in service sector will be offered.

Change is one of the biggest characteristics of organizations in competitive area. Organizations experienced fundamental changes. These changes guide organizations to new challenges, otherwise, if they don’t concern them their survival and success will be seriously threaten. This situation has led to revise on the business priorities and their strategic vision, and put their emphasis on matching to environmental changes and responding through modern cooperation and virtual organization. Organizations have developed new approach called agility for responding these challenges.  In this research it is tried to show that whether agility capability is desired in the Mazandaran post office or not? For this purpose, by preliminary study of four variables of accountability, competence, flexibility and speed, and for reaching to studied goal, and designing questionnaire, the data were analyzed using information statistical software. The results show that the mentioned office doesn’t have the agility capability and there is a gap between present and desired situation.

In this article mathematic model of production comprehensive planning through fuzzy approach in oil refinery industry is offered. After literature review and describing research history in oil refinery industry, we proceed to offer the model. Structured model will be compared by the model resulted from present trend production planning.  Required information for the research is gathered through survey, library, observation, interview and questionnaire. After gathering information we will solve the model by goal programming in which hierarchical analysis are used for determining weights and ranking.  Then through designed questionnaire the weight of each question and finally weights of goal function will be developed. Content validity method is used for achieving scientific validity of questionnaire. For this purpose the after designing the primary questionnaire, experts’ views were obtained for review and its final development. The reliability of questionnaire is measured by Cronbach’s Alpha coefficient. For solving the model, most weight amount is allocated to more important goal and least one to less important goal. Then data of the problem is inserted in the model and it will be solved by Lingo5 operation research software. Finally, model outputs resulted from model solution are analyzes, and some aspects like production amount, refinery return and income per capita of each barrel will be compared to present situation. This article offers a mathematic model for production planning in oil refinery industry, by using mathematic methods for production planning, so that a suitable pattern from logical relations between operations to be developed helping relevant authorities for future planning.

Decision making on amount of cash dividend which is distributed among investors, is a challenging issue and important subject in financial management; because making decision on dividend paid to shareholders determine the amount of money which should be retained to reinvestment. In this research, firstly some variables, based on previous researches, are determined for survey and identification of effective factors on paying cash dividend, so necessary information from ninety four listed companies on Tehran stock exchange during seven years (2001 to 2007) are gathered by panel data.There are eleven factors which they are tested in this research including: leverage and size of company, last year DPS, investment opportunities, operating cash flows, expected EPS for the next year, average dividend of other companies, inflation rate, equity percentage of free float, average of dividend growth rate in last five years and enterprise current EPS.As a result, the relationship of size of company, last year DPS, investment opportunities, expected EPS for the next year and inflation rate are confirmed, but we can not find a meaningful relationship between current DPS and: leverage of company, operating cash flows, average dividend of other companies, equity percentage of free float, average of dividend growth rate in last five years and current EPS.

The aim of this study is to provide a model for performance evaluation of a renowned organization which is active in the field of training and management consulting services, using balanced score card (BSC). Based on this model, after recognizing and clarifying the mission and vision of the organization, goals of the organization in each of four perspectives of BSC, i.e. financial, customer, business process and growth and learning were explained. Then measures of each perspective according to the characteristics of the organization were identified. To evaluate the performance of the organization and to identify the strengths and weaknesses of the organization which can help provide improvement opportunities, the importance coefficient of these measures were calculated and measures with lesser importance were omitted. Then using entropy Shannon these measure were weighed. In order to identify the level of effectiveness of the designed measures  in a three and six month  period the performance of the organization was evaluated .The results showed that  the organization has been successful towards meeting its goals and the measures of the organization have been well perceived by the employees.