Journal of Industrial Strategic Management
Volume:3 Issue: 2, Autumn 2018

The purpose of the present study is to investigate the effect of outsourcing the activities of government agencies on organizational structure. The current study is a descriptive-survey research implemented by the field method. The statistical population of the study consisted of managers of governmental organizations of Isfahan province. The questionnaires were distributed based on simple random method among the members of the statistical sample. Data collection tools were two questionnaires including: 1) activity outsourcing standard questionnaire (Rahnavard, 2008); which was adapted by McLauour (2008) outsourcing matrix; 2) Robbins organizational structure standard questionnaire. Descriptive statistical methods, factor analysis technique and structural equations were used to analyze the data. Based on the findings of the research, the amount of path coefficient between activities outsourcing and organizational structure is .54; this number is .42 for outsourcing activities and formalization, .41 for activities outsourcing and concentration and also, .42 for outsourcing activities and complexity, which indicates the high impact of the variable on the related dependent variables. According to research findings, in order to realize the activities outsourcing, the organizational structure should be designed commensurate with environmental changes and also, improving the managers' knowledge should be considered as an important factor in this regard.

Today, the concept of tax compliance has become a common phenomenon in the most countries and identifying the factors which affecting on it, specially internal and psychological factors instead of economic factors, attracted the attention of a large number of researchers in all over the world. So, the purpose of this study is to present a model of tax compliance with the realization approach of Eghtesad Moghavemati by considering the role of internal and psychological factors such as tax fairness, taxpayers' attitude, trust in authorities and tax morale on tax compliance. The statistical population of this study included 2900 legal persons of Sari tax administration who shall be liable to Value-Added Tax (VAT). The sampling technique in this study was stratified random sampling and the sample size comprises of 550 legal persons. The findings revealed a significant and positive impact of tax fairness, taxpayers' attitude, trust in authorities and tax morale on tax compliance. Furthermore, the results of the study showed that tax compliance is largely determined by tax morale. Moreover, the results suggest that tax authorities should take more concentration on tax fairness for creating favorable attitude in taxpayers and enhancing trust in authorities.

Job satisfaction is of great importance to employees, because sometimes due to the lack of trust in the organization and the lack of job satisfaction, employees are looking to leave the organization and seek a different job. The aim of this study was to determine the relationship between organizational trust and job satisfaction of employees of the Agricultural Bank. The research applied in terms of purpose and method was descriptive, correlational one. The statistical population consisted of all staff members of the Agricultural bank branches of Sari (N= 145). The statistical sample was 105 participants that determined by the Cochran formula and selected by stratified random sampling according to gender. The results indicated that there is a positive and significant correlation between organizational trust and its dimensions including trust (lateral, vertical and institutional) with employees' job satisfaction. Also, the share of each aspect of organizational trust in predicting of employee job satisfaction is not different.

Evaluating and selecting the right contractors can increase the chances of success of a project and the organization. Considering the intense competition faced by organizations today, proper cost management to enhance profitability and customer satisfaction has attracted a lot of attention. The evaluation of contractors is usually a process thatis based on various criteria.By the end of it, theappropriate options are selected. Given the diversity in the criteria and among thedecision-making subjects, no singleway has been offered to suggest substitution between criteria.The desirability indifference on the curve ofconsumption of various goods (selection ofdecision-making options) are the same. This paper seeks to identify parallel matrices with the initial decision-making matrix of contractors that have the same results and desirability for decision-makers (indifference points). At first, the initial rating using the AHP and TOPSIS methods andthe particle swarm optimization (PSO) and genetic algorithm (GA)techniques, along withMATLAB software,was used to identify theparallel matrices. According to the obtained results, sixparallel matrixes with the initial decision-making matrix that had been prepared by experts fromthe company were produced.Out of them, the matrix related to The point of indifference is the fifth output5 AHP-PSO, based on the company experts' opinions was selected as the final version.

Uncertainty in the capital market means the difference between the expected values ​​and the amounts that actually occur. Designing different analytical and forecasting methods in the capital market is also less likely due to the high amount of this and the need to know future prices with greater certainty or uncertainty. In order to capitalize on the capital market, investors have always sought to find the right share for investment and the right price to buy and sell, and so all the predicted models always seek to answer the three basic questions, i.e., which share, to what extent When and at what price to buy or sell. Before answering the answers given to these questions, you have to answer a more serious question. Including whether forecasting financial markets is possible. Accordingly, in this research, using data mining, we proposed a method for predicting changes in the total stock index of Tehran stock exchanges. The purpose of this research is in the field of applied research. In terms of its implementation, the research is based on a causal research that is carried out using a data collection database. Based on the results obtained from this study on the best decision tree algorithm with respect to the accuracy of 94% of the C & R Tree algorithm, it can be said that this algorithm can be better than predicting stock price changes. Also, using decision tree can also predict changes in the price of the payment.

The purpose of this study was to investigate the impact of technology management elements on organizational agility using the structural equation technique. The research method was descriptive with the use of survey and the statistical population of the study consisted of all 500 managers and employees of Refah chain stores in the city of Tehran. The sample was selected through cluster sampling, followed by convenience sampling, which led to the selection of 217 participants according to Morgan table. Measurement tools in this research included two standard questionnaires for technology management Wang & Hong (2017) and organizational agility Sharifi and Zhang (2004) (2004) The validity of the questionnaires were confirmed by the supervisor and a number of managers and experts. Also, the Cronbach's alpha coefficient stood at 0.88, indicating an acceptable of reliability. Data analysis was performed on two levels of descriptive statistics and inferential statistics. At the descriptive level, statistical frequency as well as frequency percentage were investigated. At the inferential level, research hypotheses were tested with LISREL software. Finally, using the Fuzzy AHP technique, technology leadership elements were ranked. The results showed that e technology management elements affect organizational agility in Refah chain stores of Tehran, with the identifying component and the acquisition component having the highest and lowest priority respectively

Customer reviews in social media contain valuable electronic word-of-mouth (eWOM) information of products, which facilitates firms’ business strategy and individual consumers’ comparison shopping. This study examined the effects of eWOM motivations on customers’ behavioral intentions in the Mobile operators setting. eWOM advertising is very important because nowadays many customer buying decisions are based on this type of information. Using simple random sampling, 430 questionnaires were distributed among the users of mobile operators, that 398 were fully answered and usable for the main analysis. Data analyses involved descriptive and inferential methods performed in SPSS and Smart-PLS software, respectively. The statistical analyses were based on partial least squares (PLS) method. Cronbach’s alpha that measures reliability of the variables in the model is within the range of 0.803 and 0.899 for all constructs and their respective subscales, which is above the minimum level of 0.6, confirming internal consistency of the model’s constructs The research results have indicates that: Word-of-mouth advertisement has effect on the responses of clients. Link power has effect on word-of-mouth advertising. Link power has effect on the intent of protest, word-of-mouth on the intent of loyalty and protest, and satisfaction on the intent of out and the clients.