Journal of Industrial Strategic Management
Volume:4 Issue: 1, Winter-Spring 2019

Numerous researchers and practitioners are attracted to sustainability in supply chains (SCS) and it has become one of the favorite topics among academics and industries. The purpose of this paper is to review and analyze the research studies that have been published in the field of sustainable supply chain management (SSCM). A total 242 articles published between 2000 and 2019 reviewed. Content analysis and descriptive analysis were applied in order to analyze the modeling approaches, evolution of models and methodologies, as well as sustainability metrics. The content analysis in terms of modeling approaches is based on analytic categories that provided by Brandenburg et al. (2014). The present study identified gaps and potential opportunities in SSCM to develop knowledge. The results indicate that methods such as genetic algorithm, nonlinear programming, goal programming, dynamics programming are less used by researchers. The multi-criteria decision making (MCDM) technique has the most application in the field of SSCM research. Researchers are more inclined to use analytical and mathematical models. The sustainability metrics with the highest frequency include “energy consumption”, “cost”, “health & safety”.

Today's competitive world has led managers to shift from traditional management to scientific management. Supply chain management is one of key issues in industries because, considering a high number of competitors in today's competitive world, competition has been extended from company level to the level of competition on their supply chain. For any organization seeking to achieve its goals in conditions of economic competition, timing, and quality of services, especially in an economic environment is characterized by globalization of business and acceleration of industrial cycle. Thus, this study was conducted to identify supply chain sustainability factors by applying fuzzy Delphi approach. Firstly, by reviewing theoretical literature, four dimensions of economic, social, environmental, and governance were selected as main dimensions as well as 46 indicators as sub criteria. Finally, after three stages of Delphi method, experts agreed on 41 indicators. The indicators that have been most agreed upon by experts are: the use of non-renewable energy in the environmental dimension with a score of 0.84, the rate of employees trained in the social dimension with a score of 0.80, financial performance and market share and quality. In addition, product safety in the economic dimension with a score of 0.77 and interaction and partnership with stakeholders and value creation for shareholders and stakeholders in the governance dimension with a score of 0.77. Now, managers can increase the sustainability of the supply chain by considering these indicators in targeting and formulating the relevant strategy.

Nowadays marketers complain about the lack of correct information or large amount of misinformation. The problem that managers deal with is not shortage of knowledge, but massive information. To overcome this problem, a good marketing information system balances the information users really need and what is feasible to offer. The objective of this study is to investigate the effect of marketing information systems in formulation of competitive strategies with the role of cultural strategies in case study of dermo-cosmetic companies. Population of the study consisted of 500 managers of dermo-cosmetic companies from Tehran city. Using the Cochran formula, 218 samples were evaluated. Data was collected through self- administered questionnaire which consisted of 44 items. The face and content reliability of the research were evaluated by 30 experts and the validity was examined by preliminary test with 30 subjects for all variables and it was higher than (0.7) which is considered acceptable in this research.

This study aimed to provide marketing strategies based on the model and indicators of international life style and types of purchase decision making. Methodology of the research is descriptive-survey and it targeted to be applied research. Data were collected by both primary and secondary styles. Considering krejcie and Morgan’s table, statistical sample included 384 questionnaires for unlimited population which were performed on each cluster. Sampling was executed by clustering method. Data were analyzed by Lisrel and SPSS software and accordingly it was concluded that all international life styles were detected among consumers of cosmetic products. The score and type of buying decision of each style include: consumers with strivers’ life style (rank one and complex purchase decision making), consumers with achievers’ life style (rank two and complex purchase decision making), consumers with adapters’ life style (rank three and complex purchase decision making).

The present paper presented a methodology for prioritizing the innovative and entrepreneurial indicators using Multi Criteria Decision Making (MCDM) and Artificial Neural Networks (ANNs), taking into account three individual, organizational and cultural dimensions simultaneously in decision making procedure. This methodology has two main advantages: first, the speed of operation in the accounting process and its simplification, and the other is the high precision with the elimination of errors in the calculations. Hence, a combination of findings were considered and identified in the Meta synthesis framework in the form of group categorization of indicators. Then, the entrepreneurship and innovation experts' opinion were gathered based on Meta-analysis. Next, the indicators were prioritized using Analytical Network Process (ANP) and the Decision-Making Trial and Assessment Laboratory (DEMATEL). The results obtained from Meta-analysis and multi criteria decision making methods were used as input and output data, respectively, to create an Artificial Neural Network model. Finally, the Artificial Neural Network model was designed in the form of Multi-layer Perceptron (MLP) Neural Network.

In today's turbulent and uncertain environment, every company is subject to supply chain disruption. Supply chain disruption can have severe negative consequences on supply chain performance. Therefore, the purpose of this study is to identify and prioritize components of resilience supply chain in Isfahan brick industry. The present study was applied and mixed. Purposeful sampling method was used to identify 10 experts familiar with the study. In the qualitative section, thematic analysis was used for coding and identifying factors. Prioritization of factors in a small portion of the AHP was performed using suppression software. The results showed that the effective factors included 6 general themes of agility, safety and environmental issues, flexibility, crisis preparedness, risk management culture and process and operational issues. That agility component comes first and safety and environmental and social issues come first. Then three car brick manufacturing companies were evaluated with the proposed model and ranked by QUALIFLEX technique. Using research results, managers can measure, compare and improve the level of resilience of their supply chains.