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Automotive industry is one of the most important industries in the economy of countries due to its extensive relationship with other industries; high production and employment rate play a significant role in the sustainable development of countries. Therefore, the improvement of value creation integration strategies in this industry is very important because it is related to the level of economic sustainability of countries. The purpose of this study is to analyze the integration matrix of the creating sustainable value process in the automotive industry.

This research is a development/mixed methodology that aims to symmetrically combine the relationship between the components of sustainable value creation integration through Mick Mac matrix analysis to identify the most effective drivers of the research subject in the Iranian automotive industry. Therefore, in this study, first, in the qualitative part, meta-synthesis analysis and Delphi analysis were used to identify the thematic components of the integration of the process of creating sustainable value and to determine the theoretical adequacy of the components. Then, in a small part, an attempt was made to explain the approved components, based on the symmetric matrix analysis in the Mic Mac diagram, in the automotive industry to determine a more stimulus for integrating the sustainable value creation process, with the participation of 16 automotive executives.

Based on the results in the qualitative section, 8 thematic components were identified to evaluate the integration of the sustainable value creation process, and after Delphi approval, these components were approved in terms of theoretical adequacy. The results in the quantitative part based on matrix analysis showed that the most motivating component in integrating the process of creating sustainable value in the automotive industry is the development of innovative ideas. To create integration in creating sustainable value, it is necessary to create a positive impact of creative ideas in the three components of balancing performance with the changing needs of K3 customers, the dynamics of communication with K8 suppliers, reducing the diversity of materials used in K5 production.

This paper is considered as a research that contributes to the broader research area of the automotive industry by unpacking the concept of value creation from a sustainability perspective. This is the first study to review extensively of integrating sustainable value creation process into the automotive industry. Although an area of research importance in terms of developing theoretical literature and applied basis in increasing the effectiveness of competitive strategies. But less research has examined this issue, and conducting this research and expanding it to the level of sustainability value literature can enhance its institutional and research capacities at the international level and contribute to the coordination of the development of theoretical.

U-commerce is an emerging paradigm transcending traditional e-commerce boundaries. The purpose of this paper is to highlight those issues that deserve attention in developing successful u-commerce models.

The interpretive structural model technique is adopted to construct a hierarchical structure, and the impact matrix cross-reference multiplication applied to a classification (MIC-MAC) approach is employed to analyze the effect and dependence among these factors.

The research shows that there exists a group of enablers having a high driving power and low dependence requiring maximum attention and of strategic importance, while another group consists of those variables that have high dependence and are the resultant actions.

Organizations that plans to develop a u-commerce model would be benefited from this study. They can understand the difference between the independent and dependent variables and their mutual relationships. This would help them to prioritize their budget and implement suitable strategies to cater to key variables so as to exploit the benefits of u-commerce.

Most of the GCC countries have very similar business environment. This research can easily be adapted to other GCC nations thereby saving the duplication of time, efforts and money.

This research was conducted in a developing economy in a GCC country which is very fast adopter of new technology. The findings of this study would serve as a guide to the businesses who are migrating to a u-commerce model in future.

Access to adequate housing represents a right entitled to any individual, as has been acknowledged by all states around the world. In Iran, despite the declaration of this right as per the Article 31 of Iran’s Constitution, it is yet to be realized. The purpose of this study is to developing a model for realization of the right to the adequate housing.

The present research was performed through a guided qualitative method. Structural-interpretative modeling was performed to present the model of right to adequate housing, and Mic Mac analysis was conducted for clustering the identified factors. Statistical population was composed of housing experts, with the samples taken via purposive sampling technique.

Based on the findings, the following factors were found to impose the largest effects on the realization of the right to adequate housing: alignment with ideology and beliefs of society; governance structure related arrangements; social structure related arrangements; improving security of tenure; justice in tenure; and local requirements.

Findings of this research contributes to increasing the awareness of the housing officials about their policies, reminding them the necessity of revisiting their routines for policy-setting. Indeed, they must switch from centralized policymaking to localized (provincealization) policymaking.

To the best of authors’ knowledge, this research is the first to investigate the right to adequate housing in Iran, elaborating on the relationship between relevant theories and practical issues.

The paper aims to identify key human and operational focused barriers to the implementation of Total Quality Management (TQM). It develops a comprehensive structural relationship between various barriers to successfully implement TQM for sustainability in Indian organizations.

With the help of expert opinions and extant literature review, we identified the case of TQM failure companies and barriers to implement TQM effectively. Interpretive Structural Modeling (ISM) and fuzzy MICMAC techniques are employed to develop a structural model and the identified barriers are categorized based on their dependence and driving power in the various categories.

From the intensive case analysis, we identify fourteen barriers that constrain the successful implementation of TQM. The findings also provide a hierarchy of barriers in which the absence of top management involvement and ineffective leadership are the human barriers having the highest dependence.

The critical inputs show the implementation of TQM in the firms being more proactive and well prepared in the selected five companies. The study's emphasis on barriers will help organizations in implementing TQM for better sustainability in an organizational context.

In the successful implementation of TQM, barriers need to be identified because failure has often eliminated the organizations from the market. Thus, TQM is the source of strength to achieve higher productivity, profitability, and sustainable business performance. The barriers must be identified to improve organizational performance to contribute to sustainable development.

Technological intervention for housing construction in rural areas in India is very low. The purpose of this paper is to understand the mutual influences of the variables influencing technology transfer in the rural housing sector.

Using interpretive structural modeling, the research presents a hierarchy‐based model and the mutual relationships among the variables of innovative and cost‐effective technology transfer.

The outcome of the research is a framework for technology transfer in rural India. The research shows that there exists a group of variables having a high driving power and low dependence requiring maximum attention. Another group consists of those variables which have high dependence and are the resultant actions.

This framework provides a useful tool to understand the mutual relationships among different variables in effective technology transfer.

Presentation of variables in a hierarchy and the classification into driver and dependent categories is unique in the area of technology transfer in the rural housing sector.

This paper is a research note on “Quality framework in education through application of Interpretive Structural Modeling” (Sahney, S., Banwet, D.K. and Karunes, S. (2010), Quality framework in education through the application of Interpretive Structural Modeling: an administrative staff perspective in the Indian context, The TQM Journal, 22(1)). Sahney et al. applied Interpretive Structural Modeling (ISM) to prioritize, sequence and categorize elements critical to quality management in education; however, it seems that the final reachability matrix, and consequently the results, may not be true as some transitivity was not incorporated. So, the purpose of this paper is to apply a method to develop a transitive and compatible reachability matrix.

A counter-example was used to show that the final reachability matrix was incorrect, and then, based on Warfield’s studies, a transitive and compatible reachability matrix was developed directly.

As high priority should be placed on tackling the design characteristics which have a high driving power and thus possessing the capability to influence other elements, the correct analysis of ISM and its consequences is important to the priorities. The results from this study differed from the results of the Sahney et al. to a large extent. According to their analysis, all attributes were in the linkage area which has high driving power and high dependence. However, the authors reached different values for the relative importance and the interdependencies among the elements resulting in three different clusters.

This note clarifies and corrects the way the ISM methodology can be applied.

As technological entrepreneurship has distinctive characteristics and needs particular conceptualizations, it is also important to have specific theoretical developments about its technological entrepreneurship. Studying the related domains like entrepreneurship and technology can be helpful in this path; however, their differences should be considered as well. The purpose of this study is to design a model in support of technological entrepreneurship. Since financing is considered as the main restriction on creating and developing technological entrepreneurship, the focus of this study is the research of financial policies of technological entrepreneurship..

This research is from the qualitative point of view and in terms of the purpose of application-development that has been done in the second part. At the first step, Iran’s (IRI) national comprehensive policies have been studied from 1993 to 2020; out of 52 documents, 7 were relevant, of which 38 policies were eventually selected. Then, policy statements were explored, and open coding and categorization has been done through theme analysis approach to attain fundamental themes and organizational themes. In the second step, the themes were extracted in the form of soft research method with the approach of interpretive structural modeling to level the financing policies of technological entrepreneurship in Iran.

The results show that the most important factors influencing financing and entrepreneurship in Iran are increasing the productivity of goods and services, supporting entrepreneurship, increasing the efficiency of monetary policies that are in the first level.

Research limitations include access to upstream documents, strategies, administrative and organizational coordination to study documents.

These findings are very important to scholars, the policymakers and technological entrepreneurship operators in designing their financing strategies. The results show that the most important factors influencing financing and entrepreneurship in Iran are increasing the productivity of goods and services, supporting entrepreneurship, increasing the efficiency of monetary policies.

To the best of the author’s knowledge, this is the first study to explore the explanation and classification of technology-based entrepreneurship financing policies in Iran. Moreover, the findings of this study would prove useful in detailed studies of financing policies in the Middle Eastern countries as well.

The purpose of this research paper is to study the enablers of Six Sigma and to establish relationship among them using interpretive structural modeling (ISM).

The research paper presents a blend of theoretical framework and practical applications. In the paper, 11 enablers of Six Sigma are identified from literature survey and experts' opinion and then these are validated by questionnaire survey in India. Finally, ISM is used to obtain structural relationship among these enablers of Six Sigma.

The ISM‐based model indicates that “effective top management leadership role”, “availability of funds” and “availability of expert training” are strategic requirements; “organizational culture”, “organizational infrastructure”, “quality maturity level of organization”, and “employees' adaptability and flexibility towards learning” are tactical requirements. “Statistical thinking”, “committed work force”, “reliable data gathering and retrieval system”, and “technical competence” are operational requirements for Six Sigma applications.

Enablers are the building blocks for deployment of Six Sigma. To know the key enablers and relationship among them can help many organizations to develop Six Sigma competences. It is one of the foremost attempts to model enablers of Six Sigma. The paper provides useful insights to the Six Sigma implementers, consultants, and researchers.

This study aims to formulate exploratory scenarios of the textile industry in Iran based on MICMAC and soft operational research methods.

In this study, to formulate plausible scenarios, literature reviews and external experts’ opinions of this field have been gathered through the Delphi approach and uncertainty questionnaires. After the utilization of the most important uncertainties, the textile industry’s plausible scenarios have been mapped with the help of experts through co-thinking workshops. Results show that two factors, including the business atmosphere and membership in World Trade Organization (WTO), play a more important role than the other factors. These two factors were considered for the formulation of the scenario. To formulate plausible scenarios, soft systems methodology, which is a kind of soft operational research methods, is applied.

Based on the results, four scenarios are presented. These scenarios include the Elysium scenario, Hades scenario, Tatarus scenario and Sisyphus scenario. In the Elysium scenario, the business atmosphere has improved and Iran has been granted membership of the WTO. In Hades scenario, Iran has joined the WTO, but due to the government’s weakness and inactivity and key decision-makers, the required preparations have not been made. In the Tatarus scenario, Iran is not a WTO member and the business atmosphere is disastrous. In the Sisyphus scenario, the government takes reasonable actions toward a better business environment.

Formulating plausible scenarios of the textile industry is an excellent contribution to the key beneficiaries and actors of this industry so they can present flexible preparation-based programs in the face of circumstances. Future study of the textile industry familiarizes the actors and beneficiaries of this industry with the procedures and the driving forces that influence this industry’s future and it will ascertain various scenarios for the actors of this field.

The purpose of this study is to assess the lean performance of a tyre manufacturing firm in India. The key objective is to find key strategic and operational decision‐making dimensions for developing effective lean manufacturing environment in a tyre manufacturing organization.

This research is empirical in nature where the opinions of a group of experts of an Indian tyre manufacturing firm were consulted to formulate an interpretive structural model (ISM) of the critical success factors of lean manufacturing implementation in a tyre manufacturing organization. The authors have developed an Excel‐based template for quantitative assessment of lean performance indicators on the basis of feedback from the operational staff.

This research work suggests that financial capability of an organization drives the top‐management commitment for incorporating lean manufacturing practices in a tyre manufacturing organization. Organizational culture and human resource management are the important enablers for developing change management paradigm, which in turn leads to performance improvement. This study also reveals that over‐processing as well as excessive defects are the most detrimental wastes in radial tyre manufacturing, which accounts for high manufacturing cost of radial tyre manufacturing in India.

Since this study is carried out in a single (case) organization, a relatively small sample size restricts the outcome from being considered for generic industrial application. This study none the less is useful for practicing managers and academicians for the development of lean manufacturing strategy in context with the tyre industry since it encompasses insightful views of experienced lower to upper middle level managers.

This paper provides some key enablers for the successful implementation of lean tools in Indian tyre manufacturing, where lean practices are still in the early stage and little literature is available in this context with tyre manufacturing. Also an attempt has been made to develop a simple Excel‐based template for lean assessment in the tyre industry. This template can be used in other industries by simply modifying the key attributes.