نشریه اندیشه آماد
پیاپی 79 (زمستان 1400)

part of Police logistics mission’s execution depends on how organizational drivers drive cars. Improving driving skills as well as utilizing advanced driving skills can improve the level of success of missions. Aggressive driving is one of advanced driving skills and means using the capabilities of the vehicle to a greater extent than usual. This study was designed and conducted to investigate the impact of aggressive driving on the implementation of Police logistics missions at the right time.

This research is applied in terms of purpose and descriptive-survey in terms of implementation. Two methods of documentary study and field survey have been used to collect information. The statistical community is 369 employees of the Police logistics department and collecting information has been done through a researcher-made questionnaire. Statistical sample is 188 people and sampling method is stratified random. Validity by refering to Experts and stability with Cronbach's alpha value of 0.846 is calculated for the whole questionnaire.

the component of aggressive driving knowledge is in the first rank, the component of aggressive driving rules and regulations is in the second rank and the component of aggressive driving skill is in the third rank. The findings also indicate that the aggressive driving of organizational drivers has a significant effect on the execution of Police logistics mission’s at the right time. As a result aggressive driving is not specific to delinquent drivers and must strive to train and utilize it by changing the perception.

nowadays, the attention to human resources is the most vital and important asset of any organization.And paying attention to the role of nutrition is one of the most important duties of military health officials. As a result, food is very important during military missions and, like ammunition, plays an essential role in preserving the combat capability of the forces. The purpose of this study is to investigate the challenges in the ration of Special unit personnel in urban operations.

The present study is applied in terms of purpose and with the data  based approach. Participants were 23 experts with service experience and selected using purposive sampling and semi-structured interview was used as a data collection tool. And were analyzed using three stages of open, selective and axial coding.

Participants has stated lack of ration quality is due to lack of adequate funding, lack of equipped vehicles transporting food, lack of holding skill courses, lack of ration packaging appropriate to the type of operations, lack of use of emergency rations in operations and so on.

Data analysis, five determining factors in order to improve the ration including 1. Purchasing food transportation trucks which has self-service 2. Assigning credit commensurate with community inflation 3. Correct and hygienic packaging in the ration 4. Holding training and skill courses; 5. Using emergency rations with high energy to some extent Solves the field of ration issues.

Joint review of green supply chain management and social responsibility results can provide valuable insights for companies in accepting and implementing green supply chain management and help them to improve the company's performance by adopting green supply chain management. The purpose of this study is to investigate the effect of factors affecting the moderating role of big data analysis in the relationship between social responsibility and green supply chain management in order to achieve performance.

The present study is applied in terms of purpose and descriptive-correlational in terms of information collecting method. The statistical population consists of 426 managers related to the subject of supply chain, green supply chain, social responsibility and big data analysis of small and medium enterprises in Golestan, Mazandaran and Tehran provinces. Given that the minimum sample size required by Morgan's table was 201, the questionnaire was randomly distributed among 252 managers of these firms and 213 completed return questionnaires were covered by confirmatory factor analysis (CFA). To answer the research hypotheses, structural equations modeling technique and partial least squares method have been used. Research data collection has been done by survey using wang et al (2020) questionnaire for social responsibility, green supply chain management, corporate performance variables, ravoot et al (2020) questionnaire for big data analysis variable electronically.

companies social responsibility expands their insight and understanding in accepting and implementing environmentally appropriate activities. On the other hand, the ability to analyze big data, has the capacity to provide access to comprehensive information, integration and deployment of resources related to data analysis to modify the effect of corporate social responsibility to green, and by this corporate performance Also improve.

The results showed that among the key factors of big data analysis, three factors of environmental, organizational and financial practices have no effect on big data analysis, but social practices, supply chain management, pure management and total quality management have a positive effect on it.

One of the inseparable pillars of any field is its risks. Perils are considered synonymous with risk. One of the categories in which risk can have species due to conflict of different actors is supply chain. Therefore, identifying and prioritizing supply chain risks becomes relevant. Therefore, the purpose of this paper is to evaluate supply chain risk factors. Due to the importance of risks in the supply chain of the power plant industry, the assessment of risk factors of the supply chain of Dalahu power plant was selected. Factors evaluation was performed in three phases of identification, prioritization and analysis.

The method used in this research is fuzzy AHP technique. In order to properly implement the research steps and its high validity, the criteria and sub-criteria proposed and presented by Abdel-Basset and Mohamed (2020) were provided to the experts. Experts validated and selected the final criteria and sub-criteria through adjustment and screening, and reflected the importance of each in pairwise comparisons.

The findings show that the supply chain risks of Dalahu power plant with respect to the weight gained include: financial risks, operational risks, information system risks, environmental system risks and control and planning risks, respectively.

Reducing the financial market share of financial risks, energy loss from environmental risks, failure of production equipment from operational risks, failure of information systems from information risks and improving the inventory level of control and planning risks had the highest priorities.

Place brand distinguishes a city, region or country from its competitors. From a long time ago, the place of production of a product was mixed with the concept of quality as we are well acquainted with Indian spices, Kermani cumin and the Khuzestan dates. But now, it has become an important part of regional developments as successful and professional marketing strategy for introduction of consumer goods specifically agricultural and horticultural ones. A place brand is a collection of unique associations with that very place, that these images can greatly influence consumer decision-making and evaluation. This study investigates the effect of institutional place branding strategies (derived from Scott's institutional theory) on place branding performance with the mediating role of interfirm trust and the moderating role of cultural-cognitive factors in export companies of Khuzestan province agricultural and horticultural products.

This research is applied in terms of purpose and descriptive-survey in terms of data collection. The statistical society included active companies in the field of export of agricultural and horticultural products of Khuzestan Province, among which 88 companies were selected as sample using Cochran method. In this study, a questionnaire was distributed by simple random sampling. The software packages used in this research were SPSS and Smart PLS.

The findings revealed that according to Scott's institutional theory, institutional place branding strategies include three aspects: regulatory or legislative, normative, and cultural-cognitive, each of which had positive and significant effect on interfirm trust, and through this interfirm trust, on the place branding performance in the studied area companies. The mediating role of interfirm trust is verified in this study, and the hypothesis No. 6 regarding the moderating role of cultural-cognitive factors in the relationship between legislative institutions and interfirm trust, has been rejected.

with increasing the unreliability in the competitive and dynamic environment of the market,caring the supply chain resilience is important.whose start point is selection of resilient suppliers. Steel makers as one of the most important and vital industries of the country due to market disturbance and increase of currency price have have encountered raw materials supply problem specially iron ore supply. The aim of this research is to identify criteria of the resilient suppliers in the steel industry of Chaharmahal and Bakhtiari and rank it.

This research is of applicative kind which has been done by qualitative and quantitative method. During the aimed sampling, 10 of the experts acquainted with the research has been selected. In the qualitative section, Criteria affect the resilient supplier selection using theme analysis and during interview with experts has been identified. Then in the quantitative section weight of criteria was calculated using hierarchical analysis and the ranking of the 3 raw material supplier companies has been done using new MARCOS multi-criterion decision making method.

In the qualitative section six criteria including information technology, delivery, safety, enviromental and social issues, quality, flexibility and agility using theme analysis and during interview with experts has been identified. After criteria weights were determined agility has been identified as the most important criterion. Ranking of suppliers was done using MARCOS method and it is showed that the acquired results using MARCOS method is compatible with the results of VIKOR, TOPSIS, COPRAS, and QULAIFLEX methods. Also it was showed that MARCOS method is sensible to probable changes in decision making criteria importance and method stability in supplier selection at the various circumstances of suppliers has been showed.

Criteria which is determined in this research is compatible with criteria which was determined in previous researches. Also MARCOS method is simple, effective and stable for ranking the suppliers at the dynamic circumstances.

Maintenance budget is the most effective factor in the mobility and timely provision of categories and it is tool that if not used properly or carefully prepared and adjusted will cause many problems in carrying out the missions of the organization. This research has provided a pattern for the optimal maintenance budget assignment of the police land vehicles.

This research is applied in terms of purpose and exploratory in terms of nature. The Delphi method was used to identify the components and indicators of the model and the best-worst method (BWM) was used by Lingo software to calculate the weights of the components and indicators (importance factor). The reliability of the instrument was confirmed based on the compatibility rate, which was less than 0.1.

Data analysis led to the identification of seven components of the type of police unit with a weight of 0.480, vehicle measurement with a weight of 0.118, regional climate with a weight of 0.111, vehicle model with a weight of 0.099, quality of maintenance in the police category with a weight of 0.094, type of disciplinary zone with a weight of 0.083 and the economy of the region with a weight of 0.015 plus 30 indexes.

Considering the components of unit type, vehicle navigation and regions climate, is placed in the first to third ranks of importance and economies of the regions in the lowest priority, it is worthwhile adminstration of planning and maintenance in maintenance funds assignment for operational categories, for vehicles with higher measurement and areas with hot and humid climates, consider higher budget respect to the other units.

In City Logistics (CL) contexts, public stakeholders’ goal is often to implement policies aimed at reducing the negative externalities generated by freight transportation activities, while at the same time maintain and foster the efficiency of the CL system without hindering the profitability of private operators. This task can become quite arduous because of the complexity of CL systems, which are composed by multiple actors with different objectives and driving factors. In this context, we argue that existing literature should explore more deeply the effects of public policies on operation and economic variables that shape the CL context. To this end, we propose a System Dynamics (SD) model that identifies the interconnections between those variables and helps assess the effects of public policies on the system.