scholarly journals Automated Sustainability Assessment System for Small and Medium Enterprises Reporting

2020 ◽  
Vol 12 (14) ◽  
pp. 5687 ◽  
Author(s):  
Edward Kassem ◽  
Oldrich Trenz
Keyword(s):  
Performance Indicators ◽  
Global Economy ◽  
Sustainability Assessment ◽  
Small And Medium Enterprises ◽  
Sustainability Reporting ◽  
Key Performance Indicators ◽  
Assessment System ◽  
Second Phase ◽  
Restriction Factors ◽  
Medium Enterprises

Sustainability assessment is a mainstream business activity that demonstrates the link between the organization’s strategy for and commitment to a sustainable global economy, and the prevention of economic crises. Small- and medium-sized businesses/enterprises (SMBs/SMEs) have significant effects on the European economy. However, because of a lot of restriction factors, like business risk, the high expenses of data collection and management, and the lack of resources, sustainability reporting is considered a superfluous and burdensome activity for them. The aim of this research is to propose an automated, comprehensive and simplified system for the sustainability assessment of SMEs. This system is achieved by implementing three main phases. The first phase includes key performance indicators design, which starts with the identification of various key performance indicators for comprehensive sustainability assessment, and ends with proposing an optimal set of KPIs (Key Performance Indicators) that can encompass long-term issues and be applicable to SMEs in the EU. The second phase involves a new comprehensive method of sustainability assessment for all KPIs designed in the first phase. Therefore, a multi-criteria model, which involves four main pillars of sustainability assessment (economic, environmental, social and governance), is proposed. It gives different enterprises the ability to verify and compare their efficiency and sustainability with other companies within the same sector in an almost automated manner. In the final phase, a simple and an automated information system (WEBRIS), which provides a suitable environment for SME sustainability reporting, is developed. Finally, this system is verified in a case study of the Czech breweries sector.

Developing Maintenance Key Performance Indicators From Maintenance Work Order Data

2018 ◽  
Author(s):  
Michael P. Brundage ◽  
K. C. Morris ◽  
Thurston Sexton ◽  
Sascha Moccozet ◽  
Michael Hoffman
Keyword(s):  
Performance Indicators ◽  
Small And Medium Enterprises ◽  
Key Performance Indicators ◽  
Maintenance Management ◽  
Other Information ◽  
Maintenance Decisions ◽  
Maintenance Technicians ◽  
Maintenance Work ◽  
Maintenance Decision ◽  
Medium Enterprises

Maintenance management for manufacturing is a crucial activity for improving productivity within a facility. Within this process, maintenance work orders (MWOs) are used when tracking and solving any maintenance–related issue. The MWOs often capture the problem, the solution, at what machine the problem occurred, who solved the problem, when the problem occurred, and other information. These MWOs are manually written by maintenance technicians, entered into a database, or recorded directly into maintenance management software. Technicians often describe or record information informally — or do not record it at all — leading to inconsistencies and/or inaccuracies in the data. This paper outlines maintenance key performance indicators (KPIs), developed using MWOs, that show why consistent and accurate data collection is important for maintenance decision making. The maintenance data, or “elements,” and their corresponding KPIs are derived from MWOs from real manufacturers (large manufacturers and small and medium enterprises). While all elements or KPIs are not recorded by every manufacturer, the guideline provided here outlines the elements necessary to calculate specific KPIs. These examples are developed to aid in common maintenance decisions.

An assessment of maintenance performance indicators using the fuzzy sets approach and genetic algorithms

2016 ◽  
Vol 231 (1) ◽  
pp. 15-27 ◽  
Author(s):  
Miladin Stefanovic ◽  
Snezana Nestic ◽  
Aleksandar Djordjevic ◽  
Dusan Djurovic ◽  
Ivan Macuzic ◽  
...  
Keyword(s):  
Genetic Algorithms ◽  
Fuzzy Sets ◽  
Performance Indicators ◽  
Performance Indicator ◽  
Small And Medium Enterprises ◽  
Key Performance Indicators ◽  
Maintenance Cost ◽  
Process Indicators ◽  
Medium Enterprises ◽  
Maintenance Performance

In this article, a novel approach for assessment and ranking of maintenance process indicators as well as maintenance cost indicators and maintenance equipment indicators using the fuzzy sets approach and genetic algorithms is presented. Weight values of these indicators are defined using the experience of decision makers from analyzed small and medium enterprises (total number of 197 persons) and calculated using the fuzzy sets approach. In the second step, a model for ranking and optimization of maintenance performance indicators and small and medium enterprises by using genetic algorithm is presented. The presented approach enables multi-objective optimization of selected key performance indicators in the scope of optimization of maintenance performances. The value of optimization was tested on a group of small and medium enterprises which proved that improvement of maintenance performance could be more significant (or performed at the shorter period of time) if the specific key performance indicators were targeted for improvement. The presented solution could provide identification of strengths and weaknesses (comparing key performance indicators), learning from a leading organization (in prioritization of key performance indicator improvement) and improvement of maintenance performance.

scholarly journals Performance measurement of Tempeh crackers supply chain management using Halal criteria on SCOR Model

2021 ◽  
Vol 332 ◽  
pp. 04002
Author(s):  
Dini Wahyuni ◽  
Nazaruddin ◽  
Suci Amalia Frastika ◽  
Irwan Budiman
Keyword(s):  
Performance Indicators ◽  
Small And Medium Enterprises ◽  
Key Performance Indicators ◽  
Production Performance ◽  
Raw Material ◽  
Traffic Light ◽  
Business World ◽  
Scor Model ◽  
Product Manufacturing ◽  
Medium Enterprises

Currently, the Indonesian business world is still dominated by Small and Medium Enterprises (SME). The number of SME has reached more than 26 million businesses, with Sumatera Utara being the province with the fourth largest number of SME in Indonesia. Every SME that produces halal products needs to measure its production performance by considering halal criteria to find out and measure the implementation of Islamic principles in product processing. There are 15 Key Performance Indicators used in measuring performance with SCOR Model and 6 of them are related to halal, namely Halal MUI label, Halal raw material, Order received damage free, Accuracy payment to suppliers, Appropriate in paying salaries, and number of defective products. Final performance of Tempeh SME is 45.94; which shows the performance of SME is still in a marginal condition. Based on the identification with the traffic light system, out of 15 KPIs (Key Performance Indicators) there are 7 KPIs that have a red color which indicates that repairing efforts are needed, namely: meetings with customers, MUI halal labels, number of defective products, flexibility in product manufacturing, equipment life, complain rate, and product replacement time.

Structural Modeling of Institute of Entrepreneurship in Russia

2019 ◽  
pp. 34-48
Author(s):  
Svetlana L. Sazanova
Keyword(s):  
Global Economy ◽  
Structural Model ◽  
Institutional Environment ◽  
Small And Medium Enterprises ◽  
Structural Modeling ◽  
Entrepreneurial Activity ◽  
Pattern Modeling ◽  
Medium Enterprises ◽  
The Impact ◽  
The Relationship

Entrepreneurship plays an important role in the modern global economy; the share of products of small and medium enterprises in the gross product and exports not only of the developed but also of developing countries is growing. Innovation processes cover all sectors of the economy, and more and more people are involved in entrepreneurial activity, which contributes to the penetration of entrepreneurial thinking and business values in all areas of the socioeconomic life of society. The Institute of Entrepreneurship plays an increasingly prominent role in the institutional environment of socio-economic systems. This actualizes the problem of studying the relationship of the institution of entrepreneurship with the institutions of law, culture, management. This requires a methodology that allows you to explore the impact on the institute of entrepreneurship not only economic, but also non-economic factors. The methodology of the “old” institutionalism possesses such a tool, it is structural modeling (pattern modeling), which allows to explore the diversity of interrelationships of the institution of entrepreneurship with other components of the institutional and economic environment. The article explored the features of the development of the institution of entrepreneurship in Russia, established the relationship between the institution of entrepreneurship, values, motives and incentives for entrepreneurial activity, built a structural model of the institution of entrepreneurship based on the methodology of the old institutionalism (pattern modeling). The structural model of the institution of entrepreneurship reveals the relationship between the institution of entrepreneurship, the values of entrepreneurial activity, its motives and incentives; as well as the relationship between the institution of entrepreneurship with the institutions of governance, cultural and religious institutions, legal institutions and society.

Family Firms, Enterprise Development and Tacit Knowledge Transformation: Small and Medium Enterprises (SMEs) Innovation in Malaysia

2021 ◽  
pp. 097215092110476
Author(s):  
John Lee Kean Yew
Keyword(s):  
Tacit Knowledge ◽  
Small Businesses ◽  
Global Economy ◽  
Family Firms ◽  
Small And Medium Enterprises ◽  
Enterprise Development ◽  
Generational Change ◽  
Knowledge Transformation ◽  
Family Smes ◽  
Medium Enterprises

In light of the global economy, it is undeniable that small businesses such as family-owned small and medium enterprises (SMEs) affect economic performance globally. They offer a key basis of flexibility and innovation but also face some challenges along the way. Since family SMEs form a large portion in the Malaysian corporate sector, the economy of this country is highly dependent on family firms’ entrepreneurial capacity. During the past decade, although family SMEs innovation is analytically and empirically reviewed in terms of theory building, it still lacks a systematic adoption of thorough and theoretically-based frameworks to gain understanding on the evolution of knowledge transformation surrounding this topic. This study primarily focuses on the development of tacit knowledge through innovation during generational change with specific attention given to three family firms ranging from old, new and declining wealth enterprises. Besides, this article appraises the evolution of SMEs innovation when new generations attempt to transform the tacit knowledge in advancing the products innovation and quality branding in Malaysia.

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