فاطمه زمزم

This research aims to identify and examine the relationship between the barriers to implementing Quality 4.0 in the Yazd tile and ceramic sector.

A systematic review methodology was employed to identify and categorize barriers, while the combined Fuzzy DEMATEL-ANP (FDANP) method was utilized in the quantitative phase to illustrate the relationship patterns among these barriers and their prioritization.

The qualitative analysis revealed 18 barriers across four categories. The Quantitative findings indicated that "High Cost of Implementation and lack of transparency in Return on Investment" emerged as the most causal barrier, while "failure to consider Quality 4.0 as a strategic issue and source of competitive advantage" was identified as the most consequential barrier to implementing Quality 4.0 in the Yazd tile and ceramic industry. Also, the key obstacles to the implementation of Quality 4.0 in the Yazd ceramic and tile industry include the lack of quantitative metrics for assessing the impact of Industry 4.0 on quality, the failure to consider Quality 4.0 as a strategic issue and a source of competitive advantage, the absence of advanced training programs for personnel, insufficient financial resources for implementing Quality 4.0, and the lack of stakeholder involvement in Quality 4.0 initiatives and projects.

Originality/Value: 

This study employs a hybrid Fuzzy DANP approach to support managers and decision-makers in strategizing for overcoming obstacles to the adoption of Quality 4.0. It achieves this by identifying barriers, determining the interrelationships among them, and prioritizing them.

Public budget allocation refers to the process by which governments determine how to distribute their financial resources among various social needs and priorities. It is a complex and multifaceted process that involves decisions with profound consequences for citizens' welfare and the overall functioning of society. Budget allocation influences the amount and quality of public services such as healthcare, education, and infrastructure and can also affect economic development and the distribution of wealth within a country. In recent years, there has been a growing interest in examining how public budgets are allocated and whether current methods and priorities align with societal needs and values. Continuous fluctuations in budget allocation policies in Iran, especially in critical areas such as education and healthcare, have led to regional inequalities. To address this issue, a planned and sustainable approach to credit distribution is required—one based on the actual needs of each province and aimed at balanced development. In this context, the present study aims to propose a performance-based planning model tailored to the nature of the problem for the distribution of provincial capital credits. The objective is to achieve macroeconomic and social goals, including reducing income inequality, alleviating deprivation, increasing production and employment, lowering unemployment rates, and enhancing social well-being, all based on the performance of the provinces.

The approach used in this research is mathematical modeling based on a conceptual framework that applies data envelopment analysis (DEA) in a novel way. As a case study, the model has been tested in the education and healthcare sectors. In the proposed model, specific values of deviation in variable values (delta) are determined by experts based on national and provincial credit distribution policies. Additionally, the allocation of budgetary resources is determined based on the performance evaluation and ranking of provinces to achieve predefined goals.

The implementation of the model using 1401 data demonstrates its efficiency compared to conventional and previous capital credit distribution methods employed by Iran's Planning and Budget Organization. The results indicate that the proposed method not only enhances accountability for achieving set goals but also facilitates continuous improvement by enabling provinces to learn from past experiences and make informed decisions for future activities.One of the most significant features of this model is its adaptability to budgetary changes. The model’s inputs can always be modified based on new policies, ensuring its relevance and applicability over time.

The proposed two-phase approach begins with the DEA model to align with the nature of the problem and assess provincial performance. In the second phase, a credit change management approach is employed for sensitivity analysis. A key distinguishing feature of this model is the expert-driven determination of delta values based on national and provincial credit distribution policies. Additionally, each province’s optimal share of total allocated credits can be calculated and received, providing policymakers with a crucial tool to enhance the efficiency of provinces and guide them toward an optimal state.

Currently, the world is living in the era of the fourth industrial revolution. Although this era provides many opportunities for companies and organizations due to technological advances, it also presents many challenges. One of these challenges is the need for a set of new competencies that occur due to the transformation of the nature of jobs through digitalization in Industry 4.0. Hence, the purpose of the current research is to identify the skills needed in Industry 4.0 and provide a cognitive analysis of it. This research is classified as applied research and employs an exploratory mix method approach regarding data collection. The statistical population for this research includes experts in the steel industry (middle to upper managers). A sample of 10 experts from this sector were selected to complete the questionnaire, using a purposeful sampling method. Then, using the opinions of 10 experts of the steel industry in Yazd province, the collected data have been analyzed through the methods of intuitive fuzzy TOPSIS and intuitive fuzzy cognitive map. The competencies of Industry 4.0 in the steel industry were prioritized through intuitive fuzzy TOPSIS and the relationships between measures to improve competencies were explained using the intuitive fuzzy cognitive mapping method. The obtained findings indicate that the index of willingness of managers and owners of companies to move towards intelligentization and the creation of smart factories is more central than other measures, and as a result, more attention should be paid to it. Also, in the prioritization of competencies, it was found that customer-oriented competency has the highest priority.

this research, with the aim of evaluating the green innovation ecosystem and the way of green science and technology policy of selected European countries in order to ensure that Europe is moving towards minimizing Carbon, holistic sustainable development, and the green, innovative and competitive economy are on the move. This research is trying to provide a set of useful input, mediator and output indicators to determine the model indicating the stages affecting the performance of the green innovation ecosystem of the selected countries by examining the background of similar research. By collecting the available data through data banks, and preparing the ground for mathematical modeling, the mathematical model was designed by combining methods of network data envelopment analysis and game theory with the help of Lingo software to combine relative efficiency in functional areas and create a Calculate the final weighted score to evaluate the performance of the green innovation ecosystem for EU member states. The results indicate that according to the designed conceptual model including four stages of knowledge creation and development, knowledge implementation, financial and economic transformations and environmental protection, with the change in the performance of countries in the stage of financial and economic transformations, efficiency The total number of countries increases significantly;

Increasing researches, interests of researchers and industrial managers in the field of supply chain and environment, has necessitated the study of green supply chain network systems. In the present study, first, by reviewing the research literature and interviewing the experts in the ceramic tile industry, the factors affecting the success of the green supply chain were identified and the dynamical analysis of the problem was performed by using the systems dynamics method. For this purpose, available and documented information and expert opinions during the 10-year period simulation have been used. Systems dynamics is a powerful tool for modeling complex structures such as supply chain networks and provides useful information about the interaction of key system parameters. The developed model is implemented with VENSIM software and the impact of different policies is simulated and analyzed. The results indicate that strengthening factors of human resource skills, supervising the implementation of green rules and regulations, and suppliers will directly increase the success of green supply chain management; In the meantime, supervising the implementation of laws and regulations is known as the most effective factor. On the other hand, the variable order for green production is very important for the survival of green supply chain. This model and its accompanying simulation can be used as a practical decision support system for decision makers and managers of organizations so that they can make the best decisions according to their environmental or company conditions.

This study evaluates the performance of Iran and 38 OECD countries by providing a DFM model with undesirable outputs. Comparing the changes in the rate of increase in output and the rate of decrease in inputs for the efficiency of decision units in DFM and CCR models is one of the objectives of this study. This research is applied research in terms of purpose and is descriptive research in terms of implementation. According to the review of the literature and research background of the employed Total labor force, Total primary energy consumption and Gross Capital Formation were considered as input, GDP was considered as a desirable output and total GHG emissions excluding LULUCF, was considered as an undesirable output. The results showed that inefficient countries should make the most change in the input of total primary energy consumption and the least change in the desirable output (GDP) in order to reach the efficiency frontier; therefore, considering energy consumption management can be effective in changing inefficient countries with poor performance in environmental sustainability, such as Iran into efficient ones. The analysis also showed that in order to improve the sustainability in Iran, policymakers should consider reducing energy consumption, increasing labor productivity, reducing greenhouse gas emissions and improving investment productivity and GDP. According to the research method, two modeling methods of evaluating the efficiency of countries in the field of sustainable development were compared and the advantages of DFM model in comparison to CCR were studied.

Globalization, increasingly stringent regulations for state and nongovernmental organizations along with consumer pressure and demand for addressing environmental issues have led organizations to consider essential measures they might take to establish Green Supply Chain management to enhance their environmental and economic performance. The purpose of this applied developmental survey was to design a model to identify the key factors behind successful implementation of green supply chain management. The study commenced with scrutiny and Meta-analysis of research findings related to the factors affecting the success of green supply chain management published in accredited domestic and international scientific databases which resulted in the systematic design of a model comprising 29 items in 6 factors of green supply. Further, the key factors and roadmap for success in green supply chain management were identified via strategic analysis and development approach (SODA). The results indicated the key factors in the successful implementation of the green supply chain to be the use of machinery, physical equipment and green technologies in the organization, green packaging, green purchases, green design, the use of lean production, support and protection of middle and senior operational managers in charge of implementing green chain supply and finally the allocation of the financial resources required for the implementation of environmental plans. Overall, this research is distinct from other domestic studies in that it has proposed a modern and scientific framework for the identification of key factors that could guide senior executives and decision-makers.

Necessity of Organizational entrepreneurship is result from incompatibility and slow response of small and big scale organizations to increasing rapid, complex and uncertain changes of environment. Therefore, organizations must use external and internal resources effectively and timely in order to obtain better competitive advantages. Also learning and innovation for organizations seeking survival and effectiveness are necessary needs and many organizations are heavily seeking entrepreneurial ways and approaches in order to improve their effectiveness, efficiency, and flexibility. So this research aims at identifying and studying influencing factors on organizational entrepreneurship of electricity Distribution Company of Yazd province. Literature review in the field of organizational entrepreneurship expresses that organizational entrepreneurship is a complex and multidimensional concept which has numerous dimensions and elements.  Schipers et al (2008) and Milz et al’s (2009) suggest that these elements are four dimensions including innovation, pro-activeness, self-renewal and risk taking. Innovation is the production and creation of new products, services, processes, technologies and models of business. Pro-activeness means the forecasting and acting to meet future needs through the search and use of opportunities that implies the development of products. Self-renewal in the organization needs to change and reform in organizational mission, reorganization and making big changes in organizational system. Risk taking includes the organizational readiness for employing resources in order to use opportunities and starting projects without knowing the results and return of investment.