ANDISHEH AMAD
Year:2020 | Volume:19 | Issue:74|Papers Count:7

Aim and background: Staff transportation service is considered as one of the pillars of staff welfare affairs. The need to know the effective components and indicators in the transportation service and the existence of a model in this field is very necessary. The aim of this study was to investigate the effective factors in optimizing the transportation of the staff of Valiasr Hospital for the use of officials to plan and improve the service in the field of transportation service of the staff of Naja medical centers Method: The present study is applied in terms of purpose and in terms of survey method and mixed in terms of the type of study (qualitative and quantitative). In the qualitative part, the data method of the foundation is used. A quantitative part was conducted using a researcher-made questionnaire whose content validity was confirmed by experts and Cronbach's alpha coefficient was used to assess its reliability. The participants of the quantitative method were 46 middle and senior managers of Naja medical centers, and the whole number method was used. Structural equations were used to analyze the data. The research model was designed based on the paradigm model of Strauss and Corbin. Findings: identified components are vehicles, the path map, green transportation, the duration of travel, satisfaction, driver, executive strategy, transportation management, organizational considerations that according to the output of data analysis, all components have a favorable effect on the transportation service model of medical center staff. Conclusion: according to the results and the impact factor provided, the satisfaction component has the most impact and the Organizational considerations have the least impact on the choice of transportation service for Valiasr hospital staff.

Background and Aim: Evaluation of information systems is a strategic necessity in the life of organizations and work activities. The aim of this study was to evaluate the success rate of a comprehensive intelligence system under the branch of supply and distribution of specialized items of a military-police organization Method: The research is descriptive-analytical and in terms of method is survey. The statistical population of this study includes 114 managers of the organization's branches and the sampling method is counting. Data collection tool was a researcher-made questionnaire that the validity of the questionnaire was done with the approval of supervisors and consultants and to measure its reliability Cronbach's alpha coefficient was used with a reliability of 0. 962. To describe the data from the mean standard deviation Etc. is used to analyze the data, T-test and Friedman ranking test and Pearson correlation test is used to measure the relationship between dimensions. Findings: The findings show that the average opinions of the respondents regarding the six dimensions of the model (system quality, information quality, service quality, use, satisfaction, special benefits) and 31 components are significant at the level of 0. 05 and all of them were approved by the respondents. Conclusion: The ranking results of Farid Man test showed that the "information quality" dimension has the highest rank and the "service quality" dimension has the lowest rank. According to the coefficient of determination, the "information quality" dimension has the greatest impact and the "service quality" dimension has the least impact on the system success.

Aim and background: Industries with the help of the Internet of Things can make a significant contribution to increasing production. capabilities of industrial internet of things depend on the ability of industrial equipment to connect to the network. With this feature, data can be collected and analyzed. Method: This research addresses the issue of prioritizing the capabilities and challenges facing the industrial internet of things. The main question is which of the main capabilities of the components of the Internet of Things (artificial intelligence, communication, sensors, active engagement and use of low equipment) is one that is more effective and important than other capabilities and also among the challenges industrial internet of things (security, privacy, complexity, adaptability and flexibility, scope) which is more effective and important than other indicators. In this research, after reviewing the research literature and collecting indicators and capabilities, first, using network analysis method, these indicators are ranked and weighted. Network analysis and analysis technique are used to achieve the research goal. Findings: Optimal prioritization of these capabilities and challenges allows smoother implementation for this new and innovative field. Therefore, in this article, the researcher seeks to answer the question of how to prioritize the capabilities of the Internet of Things in improving organizational processes in the organization and also the capabilities, benefits and challenges in this article are evaluated and the position and importance of each is determined. Conclusion: The results show that the security index is the most important. Artificial intelligence is the second priority. Technology optimization is of paramount importance.

Aim and background: Today, the most important characteristic of organizational environments is rapid change, which has caused complexity and reduced the power of organizations in predicting future events and has challenged them on the path to success. In such a situation, an organization alone cannot cope with the complexity and competition. By drawing a new space, the cooperation network has provided the ground for strengthening innovation and increasing competitiveness and survival in the environment for the organization and reduces the existing costs and risks. But what does a cooperation network look like? Method: The present study, following the design of an effective cooperation network model in the Institute of Defense Industries, has identified the dimensions, components and influential elements. In this regard, taking advantage of the existing literature in the field of networks, the basic concepts are identified and using the data theorizing method of the foundation and interviews with experts, professors and defense managers related to the subject, open, pivotal and selective coding has been done Findings: based on the coding, the factors and elements of the model are identified, the model extracted from this research, comparing with previous research, has a more comprehensive look on investigating the various sections. Conclusion: finally, network performance demensions and effective achievement include network structure, network process, network members, nature and topics of cooperation, the conditions of extended cooperation, motivation of network founders and motivation Network Partners has developed a network of cooperation in terms of the range of elements of interest in the defense industry.

Aim and background: the main purpose of this study is to identify and prioritize the indicators affecting the Supplier’ s selection in LARGT Supply Chain Method: data were collected in two stages (qualitative and quantitative) using the Sequential Exploratory method. Initially, through interviews with 11 experts who were selected by theoretical sampling method, Components were identified in the qualitative section, using the Delphi method, 18 panelists reached a consensus after 4 rounds. The validity of the qualitative part was also confirmed by Kendal coordination coefficient (k = 0. 79) Quantitative data analysis method was implemented in two descriptive and inferential levels through SPSS and Lisrel software Findings: Based on the findings of the qualitative stage of the questionnaire, a quantitative section was designed and after measuring the validity (factor) and reliability through the participation of 120 managers of Shahrekord food industry, 102 of them were selected by random sampling method Experts identified the key components in the form of 85 key concepts and 5 main criteria, which include: pure, "agile", resilience, green and sustainable talent, with the highest Friedman score of 44. 72. And the lowest score is related to the "agile" criterion with a value of 40. 65 Conclusion: The simultaneous use of these five approaches provides coverage of the weaknesses of the approaches.

Aim and background: In today's competitive world, companies seek to gain a competitive advantage and high performance. Supply chain operations are also looking for the most optimal situation. The main purpose of this research is investigating the effect of supply chain management operations on the competitive advantage and performance of Mammout Company. Method: The method is field research. A questionnaire was used to collect data The statistical population of this study consists of managers and experts familiar with the supply chain management system The sampling method is simple random research The reliability of the questionnaire was evaluated by Cronbach's alpha method and its validity was evaluated by face and convergent method (confirmatory factor analysis method) Finally, SMART PLS software was used for multivariate analysis Findings: supply chain management operations have a positive effect on the competitive advantage and the performance of Mammout Industrial Complex Conclusion: The results show that 1. supply chain management operations have a positive effect on the competitive advantage of Mammout Industrial Complex. 2. Supply chain management operations have a positive effect on the performance of Mammout Industrial Complex. 3. Competitive advantages have a positive effect on the performance of Mammout Industrial Complex.

Aim and background: Saffron as a strategic commodity and competitive advantage in the development of trade in our beloved country has always been considered by experts and executives. However, there are problems in many parts of the supply chain of this valuable product, The main purpose of this study was to identify and rank the challenges facing the saffron supply chain and provide proposed solutions Method: This research is descriptive and in terms of applied purpose and its nature is correlational. The study population is experts and elites in the production and sale of saffron. The samples were 100 people and the sampling method was purposeful and available. The data collection tool was a questionnaire. Its validity was confirmed by professors and experts. Cronbach's alpha was used to evaluate the reliability of the questionnaires, which was 0. 911 for the whole questionnaire. Research data are analyzed with SPSS and PLS software Findings: Analyzes show that saffron supply chain challenges include final customer challenges, producer challenges and distributor challenges. These challenges are due to pricing, innovation, packaging, quality of raw materials, marketing, competitors, etc., respectively. Conclusion: The results show that according to the path coefficient, it can be said that the most important challenge of the saffron supply chain is the challenges of distributors, followed by the challenges of producers and the challenges of the final customer.