جستجوی مقالات مرتبط با کلیدواژه « مدل سازی ساختاری - تفسیری » در نشریات گروه « مدیریت »

Generation Z employees, whose presence in government organizations is increasing compared to other generations, have ideas, desires and mentalities that are appropriate to their generation, and the management of this generation brings fundamental challenges for organizations, so the purpose of this research is to investigate the antecedent challenges of the presence of generation Z employees in government organizations. This is an applied research. The collection of information in this research is a survey and the philosophy of this research is interpretive. The statistical population of this research is members of generation Z and experts related to the research topic. In this research, simple sampling method was used to study members of generation Z and purposeful sampling method was used to interview experts, and sampling continued until theoretical saturation was reached. This research has two parts. The first part is the qualitative content analysis. In this first part, the collected data were analyzed with the qualitative content analysis method, which resulted in 574 codes, 031 categories and 82 criteria, and finally producing 7 main dimensions namely structural challenges, communication challenges, management challenges, cultural challenges, identity challenges, technological challenges and job challenges. The second part of the research is interpretive structural modeling in which the dimensions calculated from the qualitative content analysis were modeled. technology and identity challenges were identified as the most effective and job challenges as the most impressionable challenges.

The aim of the current research is to provide a model of factors affecting the implementation of green supply chain management in the construction industry. This research was conducted using a mixed approach. The current research design is the analysis of hidden content and the target community, managers and contractors active in the construction industry and familiar with the supply chain of this industry, and the purposeful sampling method was used. For modeling, the structural-interpretive method was used, and finally, the power of penetration and the degree of dependence of the factors were determined by using Mick-Mac analysis. In order to identify the components of the research, first, a meta-combination approach and a systematic search of sources were used in the period between 1392 and 1402 for internal research and between 2013 and 2023 for external research, and then semi-structured interviews with 14 experts were used. Based on the findings of the research, 101 primary codes were extracted in 14 categories including: internal environmental management, green technology, reverse logistics, green purchasing, green design, green construction, green transportation, green human resources management, green marketing management, internal and external obstacles and drivers. and green supply chain management performance were classified. Also, the modeling results have shown a five-level model in which internal and external drivers and obstacles were placed as the most influential variables in the fifth level and the green supply chain management performance variable as the most influential variable in the first level.

Moral courage is necessary to observe moral behavior when dealing with moral challenges raised at the time of crisis. The purpose of this study is to present an interpretive structural model (ISM) of the antecedents of moral courage during crises among the staff of Kerman University of Medical Sciences, Iran. 

This is a descriptive-analytical survey. After reviewing the literature and identifying the antecedents of moral courage, a questionnaire with semi-closed questions was designed and distributed among 18 managers and expert from the university, who were selected using non-probability purposive sampling method. The data were analyzed in MATLAB software, version 9 and MICMAC software, version 2. 

Based on the findings, the antecedents included individual factors (self-esteem, personal values, moral model, personality type), managerial factors (leadership, criticism acceptance, honesty, leader-member exchange), organizational factors (organizational transparency, accountability, culture), and environmental factors (economic, cultural, political/legal). 

The results can help relevant authorities to plan and make appropriate decisions in this field.

This research aims to identify the consequences of knowledge hiding and develop a structural model and the causal relationships between them using a mixed method. Research methodology is pragmatic paradigm in terms of research philosophy with integrated approach, the first phase is qualitative and the second phase is quantitative, it is also survey in terms of research strategy. The statistical population of the qualitative section includes 34 articles out of 45 related to the period 2000 to 2023 and related to the consequences of knowledge hiding. In the quantitative part of the research, the statistical population included 10 experts in the field of knowledge management. In the first phase, data was obtained from the content analysis of articles related to knowledge hiding, in which 16 consequences of knowledge hiding were identified. In the second step, fuzzy Delphi was adopted in order to select the most important ones and finally 8 factors were identified. In the next step, the structural model of these factors was developed using the interpretive structural modeling method. By using Micmac analysis, the factors were classified based on driving and dependence power. At the end, the fuzzy DEMATEL method was adopted in order to analyze the causal relationships between the factors. The results showed that lack of empowerment is the most important consequence of knowledge hiding, and lack of creativity and innovation, low quality of decision-making, lack of organizational commitment, job dissatisfaction, lack of organizational development, poor performance and turnover intentions are other consequences of knowledge hiding.

The current research was conducted with the aim of designing a virtual education model using the interpretive structural modeling method at Farhangian Khorasan Razavi University. This research was a descriptive survey-cross-sectional type in terms of practical purpose and implementation method. The current study population was the staff and faculty members of Farhangian Universities of Razavi Khorasan Province, including two campuses of Brothers and Sisters and five faculty centers, each center was considered one floor. According to the principle of theoretical saturation, the samples of the present study were determined by 13 people who were selected by stratified random sampling method after checking the inclusion criteria. The data of this study were collected through interviews and research literature of library studies (content validity was confirmed above 70% and reliability was obtained with the retest method after a two-week test) and were analyzed with thematic analysis and three rounds of Delphi. Then, by transforming the relationship matrix and creating consistency in the relationship matrix, the ISM graph was drawn and the type of variables was also determined using MICMAC analysis. According to the analysis of interviews and library studies and research literature, virtual education in Farhangian University was in the form of 12 variables. These 12 variables were stratified in 5 levels. In the fifth level, management, in the fourth level, organizational, pedagogical and technological factors, in the third level, ease of access, knowledge management and flexibility in education, in the second level, educational quality, support services, information and content and measurability,

Current researches around the axis of strategic management indicate that strategy formulation cannot be the main concern or problem of organizations. Rather, what has become a problem is the lack of alignment between different departments of the organization and the organization's strategies. This research tries to provide a model for creating strategic alignment of employees with the interpretive structural modeling approach. The tool of this research was a researcher-made questionnaire that was given to experts (11 university professors and managers and employees of Bushehr gas company). To check the validity of the research tool, content validity was used and the reliability of the tool was calculated with Cohen's kappa index, which was reported as 0.65. In order to conduct the research, first by reviewing the literature, the desired factors were extracted, and then by forming a focus group of university professors and managers of Bushehr Gas Company, eight final factors were selected, which were finally selected using interpretive structural modeling at three levels. The results of the research showed that factors such as the maturity of the organization's culture, employees' perception of the organization's goals, employees' participation in strategy formulation, appropriate reward system and transparency of the organization's mission statement, have the greatest impact on the strategic alignment of employees. Therefore, managers are advised not to ignore the great impact of these five factors if they want to align employees with the organization's strategies.

Investment in the construction industry can only cause economic growth and achieve economic results when capital injection and housing production are targeted and ultimately lead to housing consumption; because if the imported funds are not directed to the building sector, the final price of housing will increase and will make real consumers less able to buy. Therefore, the entry of liquidity into the construction industry requires formulation of strategy and policy in order to increase the growth rate of housing. Also, risk management and knowing its key components lead to reducing construction costs and creating a more appropriate price in the construction industry. The aim of the current research is to know the dimensions and components of risk management in Iran's construction industry with a fuzzy Delphi approach with interpretive structural modeling and DEMATEL technique.

The current research method is exploratory and the goal is to answer the research questions. In terms of the type of research, it is practical because its results are used for risk management in Iran's construction industry. The method of the current research is mixed (qualitative-quantitative). In the qualitative dimension, using the fuzzy Delphi method, it has identified the dimensions and components of risk management in the construction industry in Iran. In the quantitative dimension, by using interpretative structural modeling technique and DEMATEL, by using surveys of experts and university professors, it has been done to stratify and examine the intensity of relationships between dimensions.

The results show that at the lowest level of the model (level three), the risk dimension of political factors is placed, which acts as the cornerstone of the model and to achieve risk management in projects. Iran's construction should start from this factor. Also, the results of examining the intensity of relationships between dimensions with Dimetal show that the social risk dimension is the most effective dimension, has the highest numerical value based on the row sum (D), and thus, with the most influential dimension among the investigated dimensions of risk management in Iran's construction industry has been identified. Also, according to (D-R), the lowest value, the risk dimension of laws and regulations, is the most effective dimension of risk management in Iran's construction industry.

Originality/Value:

 The current research is new in terms of the subject area, i.e. in the field of the construction industry of Iran, and in terms of the location area, i.e. companies active in the field of the construction industry of New Tehran. The research gap that creates the space for innovation in the current research, according to the perspective of soft operations research, which is a tool for creating complex and new problems, is the use of Interpretive Structural Modeling (ISM) and DEMATEL. Less research has been done on leveling and examining the intensity of impact and effectiveness of the components of risks in the construction industry.

Structures and processes in any organization are the most important dimension, in other words, the software of organizations to perform their missions. The judiciary, with the serious mission of justice and the realization of justice in society, has complex and multidimensional structures and processes, and based on these structures and processes, it carries out this serious mission. In fact, it should be said that the effectiveness of the judiciary as a feedback loop of the country's governance system will have a direct impact on the overall efficiency of the system, and therefore continuous identification of damage to the structures and processes of the judiciary can improve the performance of the judiciary and consequently It will become the system of governing the country. The present study aimed to identify the structural damage of the judiciary; After studying the Judicial Transformation Document, and other related research in this field, and interviewing judges and experts, 83 structural injuries were counted and classified into 11 general categories. In the next step, using interpretive structural modeling and Mikmak analysis, they were prioritized and classified, and it was identified that the four disadvantages were the lack of specialized proceedings and the rules of procedure; Lack of relative transparency in litigation; Lack of appropriate mechanisms for feedback, learning and intelligence of the judiciary and weakness in the budgeting system and allocation of financial resources; Is one of the most effective structural damages in the judiciary and the lack of coherent process mechanisms to reduce delays, which is the most important issue in the judiciary, has been identified as one of the most effective damages that the judiciary must eliminate eleven damages at higher levels solving and thereby reduce trial delays.

Tourism industry, as the biggest economic generative industry in the world in the last decade, is a good alternative for the growth and development of the countries. The winners of this industry will be companies that create innovative ideas and use them as core competitive advantage. In this regard, the present article aims to examine the innovation drivers in tourism companies in Gilan province with a systematic approach. The research method is descriptive and its purpose is applied. The questionnaire was used to collect research data. The statistical population includes a combination of 13 university experts and the Cultural Heritage, Handicrafts and Tourism Organization of Fouman city. After identifying 32 drivers of innovation trough the literature review, these drivers were distributed among experts in form of a questionnaire, and applying Delphi method, 15 main drivers were used to implement interpretive structural modeling (ISM) method. According to the results, the innovation drivers were classified into six levels. The findings show that the agility of innovation methods lies at level 1, open innovation, innovation engagement, thinking skill, experts’ integrated communication and creativity techniques lie at level 2, work environment, conflict resolution lie at level 3, knowledge about competitors, customization and creative analysis of requirements lie at level 4, innovation leadership, market knowledge and team composition lie at level 5, and finally portfolio management lies at level 6. These drivers were evaluated in the MICMAC matrix and analyzed in terms of their influence and dependence power.

Organizational cooperation emerges as a tool that allows members of the cooperation network to make decisions based on shared information and two-way exchanges that coordinate and synchronize activities with the aim of attracting It causes the satisfaction of the market and the increase of the common profit. Cooperation networks are formed by organizations that have a prior desire to cooperate with each other in order to achieve their common interests by using information technology and through joint decision-making and effective participation. The purpose of this research is to investigate the networks (CNs) and the cooperation process that allows them to increase interaction in the environment. These new tools are based on enterprise architecture (EA). On the other hand, organizations that cooperate with other organizations in order to gain competitive advantage and deal with environmental complexities, each has its own unique organizational architecture. Investigating the effect of this organizational architecture on the cooperation network architecture of organizations is the target of this research. In this regard, by reviewing the theoretical literature and using the Interpretive Structural Modeling (ISM) method, a framework has been developed to examine the impact of the organization's information technology architecture on the architecture of inter-organizational cooperation. The results of this research show 5 dimensions of organization architecture and 6 dimensions of inter-organizational cooperation architecture and how they are leveled and related in the form of a final model. The insight that this framework provides to organizations can help in better designing the architecture of the organization to enjoy an effective cooperation and the benefits of it. Enterprise architecture is a continuous process after initiation. Establishing such a process involves interacting with different dimensions of the organization. Therefore, the cultural, human, technical, structural, event, etc. dimensions throughout the organization are fundamental issues in the successful implementation of organizational architecture. Considering that the implementation of organizational architecture is costly and expensive, its poor implementation provides many problems for the organization.

In the subject of common information technology, we strengthen and precisely specify the legal dimensions, standards, control guidelines, time frames and the form of situations. MICMAC analysis showed that the components of the content model (conceptual description) of the organization's architecture, the logical model (systemic description) of the organization's architecture and business strategies of cooperation have the greatest influence on other components and are key components in They are considered to be the formation of the cooperation process. Other investigated components have high power of penetration and dependence and are located in the connected area and these components have two-way communication with each other. According to the results of the research, the following suggestions were made: The research results show that technology plays a very important role in the development of inter-organizational cooperation, so it is suggested that organizations design inter-organizational information systems. Among the factors of level 1, knowledge cooperation is the factor influencing inter-organizational cooperation. Therefore, in organizational architecture, the mechanisms of knowledge production, acquisition and application should be predicted. Designing and establishing specific processes for inter-organizational cooperation is a necessity that must be considered by organizations in the design of organizational architecture.

Today, organizations experience complex and unpredictable changes and crises around them. In this situation, in order to achieve innovation and optimal conditions in complex environments, it seems necessary to go towards flexible and agile solutions. The agility of business processes in complex and dynamic conditions. In this regard, the main goal of this study is the systematic structuring of the problem of agility in business processes, one of the most important requirements of which is the use of research approaches in soft operations in the direction of the systematic structuring of the problem.

In this research, first by using the steps of meta-combination technique and then with the help of semi-structured interview tools, a sample of 18 experts, who are university professors and experts active in the field of process management, as well as people who have experience in the fields of related to the improvement of work systems and processes in different organizations, were selected, which were selected through a targeted non-random method and snowball method. In the next step of the research, the ISM approach was used to explain the communication pattern of managing agile organizational processes, which was collected with the help of a questionnaire. Finally, the data collected through the questionnaire were analyzed using the Interpretive Rating Process

Based on the answers to the questions asked in this research, first after going through the stages of synthesis and completing the required data throaugh interaction with experts, a general framework of 17 main variables was obtained. The components of the proposed main framework include appropriate culture, process leadership, process governance, human resources, technological infrastructure and organization structure as system enablers, The strategize based on improvisation, creative stability, dynamic adaptability, organizational learning and environmental understanding as capabilities of the system, continuous control and monitoring of processes, process quality management, integration of knowledge management with organizational processes and Making the components of the process management life cycle more efficient are the basic actions and measures and finally the improvement of quantitative and qualitative indicators as the result of the system. In the following, according to the conceptual framework of ISM, empowering and empowering indicators were classified into four levels. In the next step, the indicators were prioritized through the interpretive ranking process. According to the findings obtained from the research and based on ISM, the technology infrastructure component was considered as an important enabler at the highest level. According to this analysis, information technology with an influence that affects all variables including process culture, manpower and appropriate structure. organization, it strengthens the spirit of learning and transformation, teamwork and partnership in the organization and provides the basis for continuous growth of employees. Also, according to the findings of the interpretative ranking process, the leadership of the processes was given the first priority.

The results showed that IT infrastructure should be considered as an important variable in the agility system of business processes. On the other hand, according to the external performance variables expected from the implementation of the agile system in the management of processes, the process leadership component dominates the technology infrastructure enabler based on all the expected performance variables (except gaining a competitive advantage). Therefore, the organizations that want to be agile in their process management system should pay attention to the characteristics of leadership in the processes in the first place. After that, the results showed that environmental awareness, knowledgeable and competent human resources, organizational learning dimension, contingent and appropriate structures, governance, improvisation-based strategy-making, technological infrastructure, dynamic adaptation, culture and creative sustainability are prioritized respectively. The following should be considered.

Risks related to human resources can become an important part of business risks. Although often identified as risks resulting from non-compliance with occupational safety requirements, they can have broader and deeper impacts. Therefore, the purpose of this research is to design a human resource risk model and determine its control strategies in the cargo and passenger transportation organization of Yazd Municipality.The current research is mixed in nature and descriptive-survey in terms of data collection. At first, the risks of human resources were identified and categorized through interviews with the experts of Yazd Municipality Cargo and Passenger Transport Organization. Then, a panel consisting of experts was formed and the conceptual model of human resources risks was designed through the structural-interpretive modeling method, and finally control solutions were presented. Through interviews with experts, 39 human resource risks were obtained in the form of 7 categories. by using the members of the expert panel, the human resources risk model was designed, which has the most impact on the organization's management issues and the risk of knowledge and skills of human resources, the risk of physical and mental health of human resources, the risk of human capital and Behavioral risk of human resources has the most effectiveness.Investigating and controlling human resource risks is very important for organizations that are interested in improving performance. For this reason, it is better for managers, policy makers and planners of the organization not to neglect the benefits of identifying and analyzing human resource risks at different levels.

The purpose of this research is to provide a strategic map of human resource empowerment according to Transformational leadership and Job involvement and empowerment dimensions based on meta- synthesis approach and method Structural-interpretive modeling in water and waste water companies of West and East Azarbaijan provinces. The research method is of qualitative type and also in terms of results it is considered as applied research. In the qualitative part, the meta- synthesis method and the structural-interpretive modeling method have been used to draw the structural model. Data analysis was done using the method of structural-interpretive modeling and Mic Mac analysis. After analyzing the data, the levels of the components were obtained, based on which the structural-interpretive modeling graph was designed. In the following, based on the three perspectives of transformational leadership , empowerment and job involvement , a strategic map of human resource empowerment in the water and wastewater industry was drawn. This research is one of the first studies that has analyzed and reviewed the relationship of empowerment dimensions with transformational leadership and Job involvement in the water and wastewater industry in a coordinated manner. And it may serve as a reference for spreading the strategic map of human resource empowerment in organizations.

The purpose of this research is to rank and model the interpretive structure of sustainable and innovative business factors of dam tourist resorts in Khuzestan province, a case study of the Maroon Dam tourist resort. This issue contributes to the existing literature by examining how business model innovation may contribute to sustainability in the specific context of tourism and hospitality. 

Research method:

The current research is applied in terms of purpose and mixed (quantitative) in terms of type of research. First, effective factors were extracted by literature review, content analysis and related researches. Then, FAHP and ISM techniques were used to verify the model extracted from the qualitative part, and based on the opinions of academic and executive experts, the relationships between various factors were determined and analyzed. It is the background.

Based on these findings, the dimensions of a sustainable and innovative business model for dams tourist accommodation in Khuzestan province include customer orientation, communication mix, revenue generation, value creation, key activities, key resources, stakeholder management, key partners, costing, Sustainability, social responsibility and innovation were identified and confirmed.

This study shows that sustainable and innovative business factors can increase the business efficiency of tourist accommodations and, in addition, meet the expectations of tourists and become more sustainable.

The success of accelerators requires continuous growth and improvement of the capacity to absorb knowledge from internal and external organizational resources. In this regard, the present study is aimed to design a model for improving the capacity of knowledge absorption in startup accelerators. This study is an applied-developmental design in terms of purpose, and non-experimental (descriptive) in terms of data collection and a cross-sectional study. Also, in this study, a mixed research method (qualitative-quantitative) is used. The data collection measure in the qualitative section is semi-structured interview, and in the quantitative section, ISM questionnaire is used. The Holsti coefficient is used to validate the qualitative section, The statistical population includes the managers of startup accelerators who are selected by the purposeful sampling method and theoretical saturation was achieved with 15 interviews. Thematic analysis method and Nvivo software were used for data analysis in the qualitative. Then, using the interpretive- structural modeling method, the research model was presented. Finally, using MICMAC analysis, the type of variables has been identified based on their influence and susceptibility to other variables. The research findings showed that the human rsources emmpowerment is the most influential components and is placed at level 4. Therefore, any program or action to enhance knowledge absorption capacity in accelerators should focus on the key and fundamental role of this factor. This components have high penetration power and low dependence in enhancing knowledge absorption capacity in accelerators and is among the priorities for action in improving knowledge absorption in startup accelerators

The purpose of this study was to interpretive structural modeling of factors affecting the alignment of macro-strategies to improve the performance of the Central-Oil-Company of Iran. This study is based on the applied purpose and in terms of method with deductive-inductive approach. Identifying these factors was done through semi-structured interviews based on theoretical saturation with professors in the fields of strategic, human resource and government management and for modeling, the opinions of experts and senior managers of the oil industry relative field with the research topic were used by purposive sampling method and a questionnaire. The validity and reliability of the questionnaire were confirmed by content validity and test-post-test method, respectively. Modeling the identified consequences with the interpretive structural method resulted in the formation of seven levels, which were the most effective factors, convergence of strategic and operational levels and upstream documents, and improved strategic balance the most impressionable factor.

The aim of this research is to conceptualize and validate "professional ethics" among social media influencers. This study is positioned in the exploratory phase of the interpretive model paradigm and the confirmatory phase of the positivist model, and it is practical in terms of its objective.

The research approach is mixed-Method and the strategy used in that analysis is thematic. In the qualitative part, using semi-structured and in-depth qualitative interviews with 14 scientific and executive experts and its analysis in MAXQDA software, the indicators and components of professional ethics of influential people were identified. Then, in the quantitative section, the relevant model was tested using the interpretive structural approach (ISM) and the relationships between themes were analyzed using MICMAC analysis

Based on the results obtained from the research, 8 components and 39 indicators were identified and validated for this purpose.

Since the factors determined as outputs in the final iterations will have a greater impact from an ISM perspective, the components "c4: professional commitment" and "c8: respect for global values, beliefs, and convictions" will have a more significant influence.

The aim of the current research is to identify, stratify and analyze the main dimensions and indicators affecting the dynamic capabilities of information technology in small and medium-sized companies using the structural-interpretive modeling (ISM) technique. The dimensions and indicators of the dynamic capabilities of information technology have been identified based on the literature study and content analysis and comparisons of related researches and interviews with experts and specialists, and then, using structural-interpretive modeling, the relationships between the dimensions and indicators of the dynamic capabilities of information technology have been determined as Integrated analysis. Finally, by using MICMAC analysis, the types of variables have been determined according to their influence and effectiveness on other variables. The results show that the variable of digitalization of business processes is among the linked variables and has a high power of influence and dependence. This variable with the greatest influence is considered as the driver and motivator of the dynamic capabilities of information technology in small and medium-sized companies, and any action on this variable causes the change of other variables. Also, measurement variables, resources and competencies and coordination are among the key variables for the development of dynamic capabilities of information technology in small and medium companies. These variables have a great impact on the realization and promotion of dynamic capabilities of information technology in small and medium-sized companies and have high influence and low dependence.

Nowadays, knowledge-based companies can create and strengthen dynamic capabilities by synergizing knowledge in the stages of integration and knowledge acquisition. Therefore, the aim of this study is to analyze and investigate the factors affecting knowledge synergies in the science and technology park of Yazd's knowledge-based companies. To conduct this research, the influential factors in the formation of knowledge synergies within knowledge-based companies were initially examined. Then, using the interpretive structural modeling approach, the identified factors were structured. To validate the conceptual model of the research, the structural equation modeling approach and SmartPls3 software were used, and the statistical population of this research consisted of experts, specialists, and employees of knowledge-based companies in the Yazd Science and Technology Park. The sampling method in the structural equation section of this research was an available sampling method. In this study, 186 questionnaires were completed and analyzed at the sixth and initial level of the model, the environmental background factor was placed, at the fifth level, the management leadership factor, and at the fourth level, the organizational culture factor. At the third level, the factors of resources, vision and strategy, and social capital were considered. At the second level, the factors of training and employee commitment, and finally, at the final level, the information technology factor were placed. Among the other findings of this research, it can be mentioned that the training and employee commitment of knowledge-based companies in the Yazd Science and Technology Park have an impact on information technology.

Concerns related to environmental issues on the one hand and limited resources available for different organizations on the other hand make it mandatory to pay attention to productivity and quality management of products and services, especially among small and medium- sized enterprises. The purpose of this research was to explain the relationship among factors affecting employee productivity, quality management and environmental management. The statistical population of this research is managers, employees, and supervisors of small and medium-sized companies in Yazd province, which are active in 5 industrial branches (chemical-cellulose, food, clothing, textile, mineral, metal-electrical). The data collection instrument in this research was a questionnaire. Initially, using the questionnaire of the pair-wise comparisons of identified factors and presenting a conceptual model of the study through the interpretive structural modeling, the opinions of nine managers of small and medium-sized companies in Yazd province were sought. Then, in order to fit the obtained model, using the structural equation modeling approach and Smart PLS3 software, 400 questionnaires were distributed among the employees and supervisors of small and medium-sized enterprises in Yazd province through available sampling procedure, of which 265 questionnaires returned. The results of the analyses showed that the culture of cooperation, leadership and performance feedback has a positive significant effect on customer focus and training. Also, it was revealed that training and focusing on the customer has a positive significant effect on innovativeness, environmental policies and strategies, environmental investment, defined processes and organization and management support.