فهرست مطالب hoshang taghizadeh

The objective of this study was to design a systemic relationship model for value enhancement from the perspective of sustainable development in construction project management.  

This research employs a mixed-method approach (qualitative and quantitative) conducted in three phases. In the first phase, a systematic review of scientific documents was performed using a meta-synthesis qualitative approach, leading to the identification of 9 major themes and 50 sub-themes. The thematic model was then localized into 48 sub-themes within 9 main themes using the fuzzy Delphi method. In the second phase, the localized model was converted into a questionnaire and distributed among experts. The collected data were analyzed using confirmatory factor analysis (CFA). In the third phase, the internal relationships between the themes were examined, and the final systemic relationship model was developed.  

The findings revealed that key themes such as value governance quality, continuous evaluation and feedback, communication quality, knowledge management, and coordination within the supply chain play a crucial role in enhancing sustainable value in construction projects. These factors contribute significantly to improving project performance in achieving sustainability goals.  

This study demonstrates that value enhancement from the perspective of sustainable development in construction project management requires attention to a set of critical factors that can improve project performance in sustainability. The proposed systemic relationship model can serve as an effective managerial tool for promoting sustainable value in construction projects.

The phenomenon of poverty is a social, economic, cultural, and political reality that has long been one of the greatest human problems. The purpose of this study was to identify the factors affecting poverty and examine the internal relations and its leveling with an interpretive structural approach in the Imam Khomeini Relief Committee of Tabriz. In this regard, based on the factors extracted from literature, a questionnaire has been developed. In this phase, 41 indicators have been selected as the most important indicators affecting poverty at Imam Khomeini Relief Committee of Tabriz city. After obtaining appropriate validity and reliability for the questionnaire, it has been distributed among the statistical sample. After distributing the questionnaire, factor analysis was used to analyze the information and reduce the variables to dimensions. The results of factor analysis showed that about 68.3% of the total variance of variables was explained by 14 factors and about 31.7% of the variance was explained by other variables that were not measured. As a result, 14 factors have been identified as the most important factors affecting poverty. These 14 factors are important in order of importance: 1- Economic; 2- Social; 3- Individual; 4- Legal; 5- Family; 6; Environment; 7; Political; 8; Management; 9; Cultural; 10- Overseas; 11. Security; 12. Scientific; 13. Organizational; 14. Geographical. Finally, the interrelationships between factors and the leveling of poverty-related factors have been examined by presenting an extended structural-comparative model (ISM).

This research aims to study the data-driven model of gas consumption management, with a focus on addressing unauthorized use through the analysis of information systems. Research was conducted using a metasynthesis approach and technique in the field of gas consumption management and mathematical programming with genetic algorithms. ATLAS.ti software was used for analysis. The influencing factors related to a specific period of time were examined and searched for in this research. Internal and external sources from the years 2006 to 2023 were analyzed. 27 studies were selected based on the Critical Appraisal Skills Programme (CASP) technique. In the continuation of mathematical modeling using MATLAB software, the simulation was conducted to compare the performance of three proposed algorithms. Based on the results obtained from the meta-combination technique, the main categories include the use of renewable energy, gas consumption management, shortcomings, obstacles, data-driven solutions, consequences of gas consumption management, and economic growth. All three models also demonstrated the basis for optimal gas consumption and the reduction of unauthorized consumption. The utilization of data analysis can enhance system efficiency, pinpoint weaknesses and losses, boost productivity, and optimize the utilization of gas energy. Based on the analysis, it was shown that data mining can be very useful in managing gas energy consumption and identifying unauthorized breaches. Overall, simulating gas energy consumption management using a genetic algorithm can provide efficient and effective solutions, handle complex and dynamic scenarios, and offer insights into optimizing gas consumption and energy efficiency.

This research aimed to design a model of exit strategies from stagnation and turnover of industrial enterprises active in Iran's auto parts manufacturing industry.

This research is developmental-applied and has a mixed approach ‎‎(qualitative and quantitative). The qualitative part has been carried out using ‎the thematic analysis approach and quantitative analysis to validate the qualitative ‎model and using the statistical approach of confirmatory factor analysis. The ‎qualitative model is based on conducting 18 semi-structured interviews with ‎academic, industrial and governmental experts in The field of research that has been ‎carried out until reaching theoretical adequacy. The validity of the findings of ‎the qualitative section has been confirmed by using the triangulation approach, ‎the qualitative review of construct validity, and the opinions of external judges. ‎The research community of the quantitative part also included all the heads and ‎senior managers of the automobile parts manufacturing companies located in ‎the northwest of the country, and the statistical sample was selected from ‎among them by relative randomness and in the number of 360 people. The ‎questionnaire was created based on the validation of the qualitative model. After checking and confirming the validity and reliability with content ‎approaches and checking the internal consistency among the statistical sample, ‎it was distributed.‎

The final findings in the form of strategies to get out of the recession for ‎component companies in the form of 63 main concepts, 11 subcategories and 3 ‎general categories under the headings: "Strategies involving ‎resources and internal factors", "Strategies at the chain level to get out of ‎recession (inter-firm)" and "support strategies focused on the governance level ‎and macro factors outside the firm" were divided and summarized.‎

This research adopts a mixed-methods approach to develop and validate a tool for measuring the antecedents of customer engagement, focusing on a dual-value perspective. To achieve this, the researchers initially conducted a Meta-Synthesis analysis of studies conducted on this topic from 2000 to 2020, extracting the antecedents of customer engagement. Based on these findings, a questionnaire was formulated, and its validity and reliability were confirmed. The questionnaire was subsequently administered to customers of 5-star hotels in Mashhad and Tabriz. To validate the indicators, the researchers employed the structural equation method (SEM) and utilized PLS software. The research findings revealed the identification of two key components, namely customer resources and company resources, along with 26 specific indicators, comprising the foundational elements of the tool for measuring the antecedents of customer engagement in the hotel industry.

The hotel industry is one of the business areas in which the customer is considered to be the main factor of success due to the relatively intense competitive environment that prevails in it. Considering the nature of hotel services that can lead to creating emotional relationships with customers, the importance of customer engagement is twofold. Therefore, the purpose of this research is to identify the antecedents of customer engagement by focusing on the dual value perspective for both the customer and the company. This research has an experimental and quantitative approach, and in terms of its purpose, it is applied and in terms of its method, it is descriptive of the correlation type. The statistical population of this research consists of customers with active participation in 5-star hotels in Mashhad. The data was collected through a questionnaire and analyzed by the method of partial least squares (path analysis). The research findings indicated the significant impact of 12 variables as antecedents of customer engagement (6 items related to company resources and 6 items related to customer resources). It was concluded that the obtained conceptual framework can be used as a tool for strategic planning in the field of marketing and the development of customer engagement in various businesses.

Poverty is a social, economic, cultural and political reality that has long been one of the greatest human problems. The diversity of problems, needs and problems of the deprived and low-income groups of the society and the multiplicity of poverty indicators on the one hand, and on the other hand the lack of financial resources and credits to solve the poverty indicators, organizations in charge of poor affairs, including Imam Khomeini Relief Committee Has faced serious challenges in the optimal allocation of resources. Therefore, the aim of the present study is to classify the clients of Tabriz Relief Committee from the perspective of livelihood poverty indicators, ranking these clusters in terms of cost and finally allocating productive and optimal resources for each cluster. In this way, with the least resources, a wide range of the needy benefit from these resources. To do this, with cluster analysis of data extracted from the system, 700 clients of Tabriz Relief Committee have been clustered from the perspective of livelihood poverty indicators and K-mean method. The results of this study were a cluster structure consisting of 10 clusters, which according to the characteristics of the clusters, titles for the clusters were considered. Finally, in order to rank the clusters, a multi-characteristic SAW decision-making method has been used. The research findings show the difference between the effectiveness of allocation in clustering method compared to other traditional methods.

Nowadays the business  environment of organizations is so tribulent which their existence is relates to their cooperation .In this situation the networking is one of the alternatives to face this situation. The present research has been done by the goal of explaining the functional effects of network-driven behaviors cooperativws of East Azarbaijan provience. The research method is of descriptive-analytical regarding the type and applied research regardint the goal . The statistical population of the study consisted of all manufacturing cooperatives including the industrial ,carpet and producting cooperatives  in East Azarbaijan province with 1651 units. The sample size is 313 units which were drawn based on Morgan's . The sampling method was classified . The instrument used in this study was questioner which its vaidity was approved due to using  standardized one and its  reliability was tested through Cronbach's alpha coefficient . Structural equation modeling using Amos software was used to analyze the data. The results showed that network-driven behaviors effect the cooperatives performance and on relationship oriented behaviors but they do not effect market-oriented behaviors including competitor-driven behaviors and customer-centric behaviors..

Growth and profitability are of the main goals and strategic priorities for most companies which show the importance of corporate growth for senior managers. But despite the importance of firms’ growth in the business, it is very little known about the nature and manner of companies' growth. The aim of this study is to develop a model of organizational growth in automobile parts industry using the system dynamics approach. The research method is descriptive- analytical method. The research statistical population is all the members of auto parts producing association in East Azarbaijan province, Iran, including 186 firms of which 126 companies were randomly selected. A questionnaire with Cronbach's alpha coefficient of 0.897 is used to collect information to determine the most important variables in organizational development (system boundary). Then the relationships between variables have been identified with the use of experts view points (dynamic Hypothesis) and an organizational growth model is simulated using causal loop and flow diagrams. To test the validity of the model, the data of Charkheshgar Company are used and after model validation, two scenarios of subsidies elimination and changes of bank interest rate are simulated and their effects on the model behavior have been studied.

The aim of this paper is to study the adoption rate of Iran Tractor Manufacturing Company with lean thinking principles. Lean thinking is a solution for minimizing the costs and wastes and is a way to continuous productivity and value creation. Managers by deeply understanding of this paradigm could use its techniques and make their firms ready to competition. For this purpose in this paper first the theoretical background of lean thinking has been reviewed and its principles have been described. Afterwards a descriptive survey method has been used to inspect the adoption rate of Iran Tractor Manufacturing Company with lean thinking principles. The population of this study is 140 peoples of Iran Tractor Manufacturing Company including the experts, managers and supervisors. The sample insists of 50 people selected by chance. A questionnaire has been used to measure the score of each criteria of lean thinking. The results of study show that the criterion of specifying Value has the best and the criteria of perfection have the worst situation. At the conclusion some suggestions has been made to flow the firm toward the lean organizations.