In this paper, an exploration investigation is presented to determine entrepreneurial marketing factors influencing on small and medium enterprises (SMEs), which are active in Iranian food industry. The study designs a questionnaire consists of 27 questions in Likert scale and distributes it among 249 experts who were involved in in food industry. KMO Bartlett test Sphericity and Cronbach alpha are 0.811 and 0.892, respectively. Using structural equation modeling, the study has determined five factors including innovative approach, flexible marketing, customer, product strategy and resources, which are influencing the most on entrepreneurial marketing factors.

Supply chain provides continual turbulence with unpredictable disruptions potential for enterprises with complex network infrastructure. Supply chain in enterprises needs to be resilient and sustain-able to provide effective response, removing vulnerabilities and minimizing the impact of negative disturbances. This review article is based on evaluating the role of supply chain management in automobile sector of India. The overall findings derived from review of refined articles state that, in countries like India, automobile industry needs to have appropriate management commitment for sustainability and resilience of supply chain rather than rules and regulations of government. The review article examined 914 articles related to evaluating supply chain management practices in automobile sector of India. Through the analysis of the collected articles, it is evident that DEMATEL is effective technique for providing inter-relationship in automobile industry in India. Rather than economic influence in automobile sector, managerial activity is a major concern for effective sustainable and resilience practices in automobile industry of India.

In this paper, a supply chain inventory model is developed in inflationary environment by incorporating some realistic features such as ramp type demand, deterioration, partial backlogging, inflation, and trade credit. Here, rate of deterioration is linear and partial backlogging rate is variable and dependent on the waiting time for the next replenishment. Depending on the trade credit period, three different situations arise. For each model the optimal replenishment policy is determined. Numerical examples are provided to illustrate the proposed inventory model and sensitivity analyses of optimal solutions are given for each case of trapezoidal demand function.

In real world multi criteria decision making (MCDM) problem, it is tough to solve a decision matrix with vague and imprecise data. The degree of impreciseness depends on the kind of data avail-able. For interval valued data this impreciseness is less and interval-valued MCDM methods can be effectively used to solve the problem. A flexible manufacturing system (FMS) selection prob-lem was taken into consideration to find the best FMS among available alternatives. An interval extension of CODAS method is proposed in this paper which was used to solve the problem along with two other interval-valued decision-making methods i.e. interval-valued TOPSIS, interval-valued EDAS. All the three methods are distance-based approaches and it was found that the interval-valued CODAS method gave the exact same ranking with that of interval-valued TOPSIS and interval-valued EDAS.

The purpose of this research is to study the role of the social media for knowledge sharing. The study presents a comprehensive review of the researches associated with the effect of knowledge management in social media. The study uses Scopus database as a primary search engine and covers 1858 of highly cited articles over the period 1994-2019. The records are statistically analyzed and categorized in terms of various criteria using an open source software package named R. The findings show that researches have grown exponentially during the recent years and the trend has continued at relatively stable rates. Based on the survey, knowledge management is the keyword which has carried the highest citations followed by social media and social networking. Among the most cited articles, papers published by researchers in United States have received the highest citations, followed by United Kingdom and China.

Green supply chain is a new concept in recent literature. The purpose of the study is to identify the importance of different factors related to green practice, performance and pressure during manufacturing in Indian manufacturing industries. The approach of this research includes in depth literature review, experts interviews and questionnaire surveys. The questionnaires are developed and data are collected through mail and two rounds of data collection were carried out to obtain more reliable responses. The major activities of the green supply chain; namely internal environmental management system, green packaging, green purchasing, eco designing, cooperation with customers, internal recovery, environmental, positive economic, negative economic, regulatory, competition are covered throughout the research. Factor analysis is performed using IBM SPSS 21 statistical software to understand the importance of green supply chain. Factor analysis is used to obtain the relative importance of various factors of green practice, green performance, and pressure. The collected data are analyzed by applying “mean score” method and the graphs are designed in SPSS software to compare the different factors.

In this paper, a deterministic inventory model with depletion rate dependent holding cost is developed. The demand rate is a power function of the on-hand inventory behind to a certain stock level, at which the demand rate becomes a constant. Shortages are allowed and partially backlogged with the function of waiting time of next replenishment. It is also proved in this model that the optimal replenishment policy not only exists but also is unique. Furthermore, it is provided a simple solution procedure for finding the maximum total profit per unit time. Numerical examples have also been given to illustrate the model and real managerial fact in inventory holding for stock dependent demand.

This paper presents an empirical investigation to study the effects of retail brand on organizational competitiveness. The study has accomplished among 247 randomly selected retail stores located in city of Tehran, Iran. We have designed a questionnaire in Likert scale and distributed the questionnaires among some managers of retail stores. Bartlett KMO and Cronbach alpha have been calculated as 0.7 and 0.863, respectively, which are within the desirable levels. Using principal component analysis, the study has detected five factors influencing on organizational competitiveness including effective brand, distribution management, customer strategy, retail location and competitive tools. The highest value belongs to retail location (B = 1.196) followed by distribution management (B = 0.825), effective brand (B = 0.47) and competitive tools (B = 0.470).

In the past, different methods for asset depreciation have been defined but most of these procedures deal with certain parameters and inputs. The availability of certain parameters in many real world situations is difficult and sometimes impossible. The primary objective of this paper is to obtain methods for calculating depreciation where some of the defined parameters are under uncertainty. Hence, by using the fuzzy science basics, extension principle and ?-cut technique, we rewrite some classic methods for calculating depreciation in fuzzy form. Then, for comparing the methods of fuzzy depreciation under uncertain conditions by using the formula of calculating the Fuzzy Present worth (FPW), the Present worth of Tax saving (PWTS) of any aforementioned methods has been obtained. Finally, since the amount of tax savings achieved for each of the methods is a fuzzy number, one of the fuzzy prioritization methods is used in order to select the best depreciation technique.