جستجوی مقالات مرتبط با کلیدواژه "meta-combination" در نشریات گروه "مدیریت"

Industry 4.0 has brought significant changes to industries and businesses. This transformation, involving the interconnection of devices, processes, and systems through smart networks and the use of data-driven technologies and artificial intelligence, has created a comprehensive approach in businesses. This development is crucial and has substantial impacts on various areas, including production, services, supply chain, and marketing. Given the increasing stability and future competitiveness of the production sector, the new technologies of the fourth industrial revolution (Industry 4.0) have gained considerable attention from the academic and industrial communities in recent years. However, manufacturers face numerous factors in implementing Industry 4.0, which need to be identified and analyzed. The purpose of this research is to identify the organizational factors influencing the adoption of Industry 4.0 and to present a fuzzy cognitive model.

This research is considered applied-developmental in terms of its purpose and hybrid (exploratory mixed) in terms of the research type. The statistical population of this research comprised small and medium-sized manufacturing companies, with 12 experts from small and medium-sized manufacturing companies active in the industrial town of Yazd province selected purposefully. Initially, to identify the organizational determinants of Industry 4.0, the meta-combination method was used, and then the relationships of these factors were determined using the fuzzy cognitive mapping method and the Fcmappear and Mental Modeler software.

The findings of the meta-combination method indicate 36 primary codes and 11 determining factors affecting the acceptance of Industry 4.0 technologies in small and medium-sized manufacturing companies operating in Yazd Industrial Town. These factors include absorption capacity, commercial assets, technical competence in digitization, digitalization knowledge and expertise, participation in the implementation process, strategic management competence for Industry 4.0, organizational culture, organizational structure, availability of resources, social capital, and top management characteristics. Among these factors, participation in the implementation process, absorption capacity, and social capital have the highest influencing capacity, while top management characteristics, digitalization knowledge and expertise, technical competence in digitization, and strategic management competence have the highest impact. Ultimately, the factors of technical competence in digitization, digitalization knowledge and expertise, top management characteristics, and participation in the implementation process obtained the most central indicators.

Industry 4.0 is a vital strategic option for small and medium-sized manufacturing companies, enabling them to keep pace with the digitization race. Small and medium-sized manufacturing companies are significantly behind large organizations in leveraging Industry 4.0 technologies. Additionally, these companies are still grappling with early adoption decisions regarding digital transformation under Industry 4.0, which is a concerning issue. The results identified various organizational determinants that may explain these conditions and provide efficient solutions for small and medium manufacturing companies. This study created an organizational digitalization roadmap that describes the necessary conditions to facilitate the digitalization of small and medium-sized manufacturing companies under Industry 4.0.

Reforming the administrative system and government management involves a systematic and integrated effort; in such a way that effective changes can be made in the public administration system and its ability to achieve national progress can be increased. This research has been conducted with the aim of providing an organizational improvement model in Iran's government organizations (case study: National Iranian Oil Company). The research is of mixed exploratory type. At first, the dimensions, components and indicators of the model were compiled from the Meta-Synthesis approach. In the next step, fuzzy Delphi method was used to evaluate, screen and localize the model. In the last part of the DANP technique, the relationship and their effects were analyzed. The first stage community including 41 articles out of 651 articles (between 1395 and 1402 for domestic articles and 2015 to 2022 for foreign articles) were selected by systematic review and coded by content analysis method. In the second stage; 6 dimensions, 22 components and 88 indicators were validated and localized with the help of 15 experts, and at the last stage, the final model was prioritized with the help of 15 experts. The findings of this research stated that in order to improve the organization in the National Iranian Oil Company, the dimensions of human resources development, business environment, organizational culture, organizational health, social responsibility and organizational structure should be considered by the managers of the National Iranian Oil Company.

The purpose of this study is to analyze the antecedents and consequences of green supply chain and prioritize green supply chain antecedents.The statistical population in the qualitative section was 167 documentary articles which were finally selected to 23 articles related to the subject and in the quantitative section 5 companies in the selected parts manufacturing industry were selected as experts by available sampling method. Data were analyzed using Barroso and Sandlowski's seven steps in the meta-combination and the best-worst method in the quantitative part using MaxQuoda, Excel, SPS and Lingo software. Green supply chain precedents in 3 categories (organizational factors, cultural factors and environmental factors) and 8 central codes (management factors, human resource capability, organizational financial policies, promotion of green culture, activities of environmental activists, technology and knowledge, government, Customers and market) And 37 open source, green supply chain implications in 3 categories (economic implications, social implications and environmental implications) and 6 core codes (direct financial benefits, indirect financial benefits, organizational benefits, human health protection, pollution control, Resource protection) and 20 open sources code was extracted. Prioritization of antecedents, respectively, managerial factors 0.167, organizational financial policies 0.152, government 0.147, technology and knowledge 0.145, manpower capability 0.130, customers and market 0.114, promotion of green culture 0.101 and the activity of environmental activists was presented as 0.044. It was concluded that the parts manufacturing industries should implement the green supply chain management process by supporting organizational factors in economic, social and environmental dimensions as well as addressing cultural and environmental issues.

Health tourism is one of the areas that have a very high potential for the development of tourism business in the country. While countries in the health tourism industry have suffered irreparable losses these days from the consequences of Crown, and it will take a long time to compensate for these losses, the use of new health tourism business models and the use of various capacities can be effective in this regard. The aim of this study was to present the competitive advantage model of health tourism business in post-Corona using meta-combination technique. For this purpose, 238 articles were first selected from reputable scientific databases inside and outside the country, and after several stages of information screening, 41 final articles remained during the compilation process. After open and central coding, out of these 41 articles, 6 main dimensions (culture, infrastructure, access to facilities, environmental factors, price, expert force) and 64 components of health tourism business were obtained. In the next step, using Delphi technique, 15 experts active in this field were asked to introduce the factors that are a competitive advantage of the health tourism business behind the corona, among the identified components. Of the 64 proposed factors, 19 factors were identified as components of the competitive advantage model of health tourism business in post-Corona.

The purpose of this study is to identify the factors affecting the telecommuting of human resources with a meta-combined approach of various meta-study methods. In the present study, using the systematic review approach and qualitative meta-integration, the results and findings of previous researchers are analyzed and by performing weekly steps of Sandlowski and Barroso methods, the conceptual model of factors affecting teleworking of human resources is categorized. . Based on three-stage coding, these factors were analyzed and categorized into 3 main categories and 69 core codes. Kappa method was used to measure the reliability and quality control of the present study. The calculated kappa coefficient was equal to 06990, which is at the level of valid agreement. The results showed that the factors affecting telecommuting of human resources include; Structural factors were behavioral factors and contextual factors. . The use of digital tools will bring innumerable benefits to organizations, centers and institutions. Among the development of telecommuting in order to increase the power and strength of the organization in the optimal selection of labor at the community level and moving towards meritocracy, helping the reverse migration of individuals and managing the consumption of human resources, energy, time and space.

The importance of work teams in organizational performance has recently drawn the attention of many scholars. So, it seems necessary to identify and rank indicators and criteria affecting team performance in organizations. This study is aimed at identifying and ranking the indicators and criteria affecting team performance in the Faculty of Management and Economics of Islamic Azad University, Science and Research Unit of Tehran. In the qualitative part of this research, meta-combination method is employed. Quantitative method is employed for ranking of the indicators and the criteria. To achieve this, field studies and meta-combination method are used to identify the criteria affecting team performance. SPSS software is applied in the qualitative analysis. The identified criteria have been referred to 22 experts at hand in order that they score on the basis of spatial scope of the research. In the next step, based on the results achieved by the experts' scoring of the criteria, seven indicator were identified with their criteria. In the next step, the ranking of indicators and criteria were identified.

One of the most important areas in management is the issue of evaluating organizational performance. Organizations have specific requirements that prevent the full effectiveness of existing organizational performance evaluation models. For this reason, many of them try to achieve a native and specific pattern using existing patterns. The purpose of this study is to provide an organizational performance evaluation model for the purchasing organization of a military organization that processes procurement, warehousing and distribution management processes.
This research is descriptive in terms of nature, and applied in terms of objective. Using the meta-information system in the framework of a balanced scorecard, the evaluation indices and the multi-disciplinary method in this study are based on the Seven-step model of Sandlowski and Barroso. All components were classified into a "balanced scorecard" in a developed model. The Kappa Cohen index was used to measure the validity of this research section. Subsequently, by interviewing five of the experts in the supply chain and the organization under study, the components and indices were adjusted in accordance with the organization. A semi-structured interview was then used to identify the views of eight experts in supply chain performance assessment regarding the model. In order to validate this part of the research, CVI and CVR indices were used and in all cases, the indices were above 0.85 which means confirmation of the results of the research.
Findings and The significance of different components of supply chain performance evaluation based on literature was determined. Among them, productivity (with a focus on cost and time), customer and its satisfaction, as well as flexibility, were identified as the most important components of organizational performance evaluation. Also based on other components, a model for evaluating the study organization was presented.

Business cynicism is one of the important phenomenon’s of business difficulties in present century. Many factors are effective in appearance of cynicism in businesses. In field of business cynicism and its effective factor, lots of studies have been accomplished but there is no comprehensive research that included all of these factors and finding the relationship between them. The aim of this research is recognition of effective factors on business cynicism and designing a model related to their relationship. The research is a mixed exploratory research including two stages: qualitative and quantitative-qualitative. In qualitative stage, first of all, effective factors on business cynicism (9 factors) were recognized by studying the literature of business cynicism and also using meta-combination method. The factors were classified in three categories of personal and individual factors (factors related to personality and individual and mental factors), organizational factors (bad organizational atmosphere, cynicism to organizational changes, injustice perception, poor performance and negative perception of managerial acts) and occupational factors. At the next step, the relationship between these factors was determined by interpretive-structural modeling and was analyzed integratedly. In the modeling stage, a questionnaire was used to get the idea of 15 experts of organizational behavior. Those were selected by snowball method. Results led to classification of effective factors on business cynicism and design a model out of the factors. The model shows the factors and the relationship and communication between them. At the end, interpretation of the model, analysis of model's levels and relationship between dimensions were done and solutions were suggested to prevent appearing of this phenomenon in organizations.