The supermarket sector is one of the most important components of the retail industry. Rapidly growing chain supermarkets stand out in this sector. This study introduces a hybrid method to assess the performance of stores within a supermarket chain. In the study, stores are compared over a five-year period using various criteria. These criteria include financial metrics such as rent cost, employee cost, energy cost, waste cost, supply cost, and sales revenue, as well as store size. Initially, the presence of differences between supermarkets based on these criteria was investigated. According to the criterion-based analysis, it is not easy to make a decision about the overall performance of supermarkets. Therefore, conducting the analysis using multi-criteria decision-making methods provides more meaningful results. In the proposed hybrid method, the criteria are first weighted using the entropy method to determine their importance levels. It was determined that the most important criterion is rent cost. The performance was then calculated using the VIKOR, MOORA, and ARAS methods. As a result of the analysis, the same store showed the best performance in all three methods.

This study aims to identify effective indicators in the performance measurement of a firm using Balanced Scorecard (BSC) as well as weighting and ranking indicators by employing Fuzzy Analysis Network Process (FANP) and investigation on network mapping and the relationships between balanced scorecards with Fuzzy DEMATEL presenting strategies to improve performance of a firm. To assess the significance of the four perspectives: financial, customer, internal processes and learning and growth, about 28 indicators are identified, and after screening, 13 indicators are located as final BSC indicators. After examining the influencing of the main factors using fuzzy DEMATEL technique, internal processes dimension has the most impact and customer, and learning and growth and financial dimensions respectively are ranked as second to fourth priorities. Also using the Fuzzy ANP technique has examined weighting and ranking of dimension and performance measures indicators that dimension of customers has gained first rank and financial, internal processes and learning and growth are ranked as second to fourth respectively.

The development of small and medium enterprises (SMEs) becomes the benchmark and leading position for developing countries’ economies. The digital transformation demands strategies, desires, and awareness of Information Technology (IT)-based market players and investments. Despite the transformation of a digital business platform, many SMEs have stumbled in the middle road. Therefore, this study aimed to determine priority indicators in assessing SMEs’ readiness towards digitalization and evolving a readiness model for SMEs based on the Decision Support System (DSS) approach. Multiple stakeholders’ viewpoints, particularly regarding academicians, governments, investors, market places, and SMEs’ business actors as targeted respondents, were scrutinized quantitatively and qualitatively to verify the proposed factors. The priority weights of factors have been examined from economic and IT perspectives and derived through deploying the Fuzzy Analytical Hierarchy Process (F-AHP) method. This study reveals the rank of measures necessary to assess the readiness of the digital revolution of SMEs. Transaction preparedness in SMEs’ cultural, educational, financial, and technological infrastructure views grows into the principal components during this assessment with 0.30 of vector value, accompanied by marketing and micro-environment at 0.24, management at 0.20, macro-environment at 0.03 and business activities at 0.02, respectively. For the recommendation purposes, the rubric segmented SME fitness into three levels, low, middle, and high performance. The prototype system DSS-SMEsReadiness was then evolved in order to simplify the adoption of the DSS method in the SME performance measurement model. The software analysis demonstrates that this application would assist decision-makers to ascertain SMEs’ readiness to digitalize. The future recommendation provides SMEs and stakeholders with knowledge transfers and acclimatization for taking the appropriate option about their business strategy, management resources, skills, and assistance programs for SMEs. This model attempts to reduce SME digitalization disruptions and achieve a digital business’s growth and sustainability in a nutshell.

Green management is fundamentally referred to the environmental practices and the implementation of the appropriate eco-friendly activities, which improve the level of people’s awareness about the environmental protection. Such green management practices have been investigated namely, redesigning of operation and production processes, innovation and R&D functions, use of technology to save energy and reduce waste, environmental awareness of stakeholders through seminars and training, investment in equipment and technology, and improvement in products or services towards improving firm efficiency in Oil and Gas industry in Jordan. The design of this study has a quantitative approach. Three hypotheses have been developed through literature review and tested using descriptive statistical analysis performed by SPSS. The number of population was 250 employees from different departments that include HR, environment, operation, maintenance, and marketing, a total of 208 completed questionnaires were analyzed as a final sample. The results show a moderate implementation of Green management practices, redesigning of operation and production processes indicated the strongest influence, while innovation and R&D functions indicated the weakest influence. Statistical positive association also was indicated between green management practices and firm efficiency. This study contributes to support the literature of Green management and environment protection that is little in developing countries like Jordan. And it urges firm management to develop effective green innovation culture to improve the implementation level of Green management which may in turn create a high level of environmental efficiency outcome in the medium and long run. Also, it’s very significant for firm management to invest more money in green innovation and R&D functions in order to improve the level of efficiency/ performance.

This paper presents a survey to measure the effects of work motivation and leadership on the performance of employees as predictors of organizational culture in broadcasting commission of Riau islands province, Indonesia. There are two dependent variables namely mediating variables (moderating variable) consisting of Cultural Organization, and the dependent variable (dependent variable) consisting of Employee Performance. Using a questionnaire designed in Likert scale, the survey distributes 120 questionnaires among the surveyed people and manage to collect 101 properly filled ones. Using structural equation modeling, the survey has confirmed the effect of work motivation to latent variable, Cultural Organization. The survey also confirms that the performance changes were affected by Motivation, Leadership, and Organizational Culture.

The objective of this research is to investigate employee satisfaction in one of Indonesian busi-ness firms named BM*. The study also tries to identify different factors influencing on employee satisfaction in the firm and to give appropriate suggestion for performance improvement. Meth-odology of this research is based on a survey and a questionnaire based on Human Resource In-dex (HRI) with measure 15 is used for the assessment. The results show that employee satisfac-tion of BM* was relatively high. However, some of the attributes show the HRI were low. The study gives some insight to improve the customer satisfaction.

This study, both descriptive and exploratory, aims to examine the scientific literature on the supply chain performance measurement (SCPM) in the automotive sector over the last 12 years. The analysis featured 30 articles corresponding to the research topic of the Scopus database. The most pertinent articles, authors, keywords, countries, research laboratories and journals are presented using the analysis of bibliographies on the subject from 2007 to 2018 in the Industrial Engineering domain. The conclusion is performed by the systematic analysis that the automotive sector is well controlled on the subject of performance. The selected studies show that lack of understanding of the performance measurement system (PMS) and lack of management dedication are the main obstacles. Finally, various guidelines are provided to optimize the supply chain in the automotive sector.

Performance measurement in energy industry plays an important role on increasing the productivity. Electricity is also among the most essential components of energy in mega cities like Tehran. The lack of a good service in this city may result unpleasant consequences on most civilians who live in this city. This paper presents an empirical investigation to measure the performance of six major electricity contractors in city of Tehran, Iran. The study implements grey numbers to handle any uncertainty associated with numbers. The study has also adopted four main perspectives used in balanced scorecard as part of PROMETHEE method to rank different contractors.

In recent years, supply chain management is known as the key factor for achieving competitive advantage. Better customer service, revenue improvement and cost reduction are the results of this philosophy. Organizations can manage the performance of their firms by appropriate goal setting, identifying criteria and continuous performance measurement, which creates a good view for the business circumstances. Developing and defining appropriate indicators at different levels of chain is necessary for implementing a performance measurement system. In this study, we propose a new method to determine the measurement indicators and strategies of the company in term of balanced scorecard. The study is a combination of balanced scorecard, path analysis, evolutionary game theory and cooperative game theory for strategic planning. The study offers an appropriate program for future activities of organizations and determines the present status of the firm. The implementation of the proposed method is introduced for a food producer and the results are analyzed.

Measuring the performance of governmental organizations plays essential role on making strategic decisions. In this paper, we present an empirical investigation to measure the performance of 22 different branches of municipalities in city of Tehran, Iran. The proposed study uses data envelopment analysis (DEA) for measuring the relative efficiencies of various units. The proposed DEA uses fixed assets, employee expenses and total income as input and Green Space Development, Resumption and Waste, Development of Cultural Spaces as well as Improvement of Passages and highways are considered as the output of the model. The results indicate that 9 regions were operating efficiently and 14 regions were inefficient.