This study was to analyze the effect of entrepreneurial skills and benchmarking on the performance of culinary innovations (restaurants, restaurants, and cafes) of micro-small-medium enterprises (MSMEs) in Indonesia sub-urban areas. Online questionnaires were used as the instrument to collect data, and the data were analyzed by deception analysis to illustrate various features of the variables studied. Hypothesis test was conducted by Partial Least Square Path Modeling (SEM-PM). The MSME population was 231 and the representative sample was 144 culinary companies. It was found that entrepreneurial skills, benchmarking, and performance of culinary MSME innovations tended to be lower than expected. The results of this study revealed that entrepreneurship and benchmarking skills had significant effects on innovation performance. To improve innovation performance, companies must pay more attention to practical knowledge, especially knowledge of bookkeeping and digital marketing, and make more comparisons on financial aspects.

This paper proposes an application of Analytical Hierarchy Process (AHP) to help decision maker evaluate different processes to identify the weaknesses of an automobile car service where the best alternatives and critical success factors are identified to improve their performances against the market leader. The proposed benchmarking process may help provide effective systematic decision support tool. Thus the endeavor has been made for car service industry to exhibit proposed framework by applying AHP to enhance its competitiveness. The proposed study provides an opportunity to apply to other industries in addition with a diminutive alteration.

Due to increasing penetration of internet connectivity, on-line retail is growing from the pioneer phase to increasing integration within people & apos; s lives and companies & apos; normal business practices. In the increasingly competitive environment, on-line retail service providers require systematic and structured approach to have cutting edge over the rival. Thus, the use of benchmarking has become indispensable to accomplish superior performance to support the on-line retail service providers. This paper uses the fuzzy analytic hierarchy process (FAHP) approach to support a generic on-line retail benchmarking process. Critical success factors for on-line retail service have been identified from a structured questionnaire and literature and prioritized using fuzzy AHP. Using these critical success factors, performance levels of the ORENET an on-line retail service provider is benchmarked along with four other on-line service providers using TOPSIS method. Based on the benchmark, their relative ranking has also been illustrated.

The aim of this study is to investigate the effect of integer data in data envelopment analysis (DEA). The inputs and outputs in different types of DEA are considered to be continuous. In most application-oriented problems, some or all data are integers; and subsequently, the continuous condition of the values is omitted. For example, situations in which the inputs/outputs are representatives of the number of cars, people, etc. In fact, the benchmark unit is artificial and does not contain integer inputs/outputs after projection on the efficiency frontier. By rounding off the projection point, we may lose the feasibility or end up having inefficient DMU. In such cases, it is required to provide a benchmark unit such that the considered unit reaches the efficiency. In the present short communication, by proposing a novel algorithm, the projecting of an inefficient DMU is carried out in such a way that produced benchmarking takes values with fully integer inputs/outputs.