Analysis of business process management defining and structuing activities in micro, small and medium-sized enterprises

Dobrosavljević, Andrea; Urošević, Snežana

doi:10.31181/oresta1903040d

Cited by 10 publications

(8 citation statements)

References 26 publications

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“…Various compensatory MCDM methods have been extended so far such as Simple Additive Weighting (SAW) method [ 29 ], Analytical Hierarchy Process (AHP) method [ 30 – 32 ], Analytical Network Process (ANP) method [ 33 ], Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) [ 34 – 36 ], Multi-Attribute Utility Theory (MAUT) [ 37 ], Measuring Attractiveness by a Categorial Based Evaluation Technique (MACBETH) [ 38 ], Weighted Aggregated Sum Product Assessment (WASPAS) method [ 39 , 40 ], VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method [ 41 – 44 ], Additive Ratio ASsessment (ARAS) method [ 45 ], and Measurement Alternatives and Ranking according to Compromise Solution (MARCOS) [ 46 ]. Each of the methods uses numeric techniques to help decision-makers choose among a discrete set of alternative decisions.…”

Section: Introductionmentioning

confidence: 99%

Developing a Multi-Criteria Decision Making approach to compare types of classroom furniture considering mismatches for anthropometric measures of university students

et al. 2020

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The mismatch between students’ anthropometric measures and school furniture dimensions have been investigated in many countries. In Iran, collegians spend at least a quarter of the day hours at university in the sitting position, so it is essential to evaluate furniture mismatch among university students. In Iranian universities, the use of chairs with an attached table is widespread, while the study of mismatches in these chairs among the collegian community is rare. This study was aimed to compare and rank different classroom furniture types based on the mismatch between collegians’ anthropometric measures and the dimensions of classroom furniture among Industrial Engineering students by developing a Multi-Criteria Decision Making approach in an integrated Methodology. The sample consisted of 111 participants (71 males, 40 females). Ten anthropometric measures were gathered, together with eight furniture dimensions for four types of chairs. Mismatch analyses were carried out using mismatch equations, and the Simple Additive Weighting method was used as a base method to solve the decision-making problem. The results indicated that Underneath Desk Height and Seat to Desk Clearance showed the highest levels of the match, while Seat Width presents the highest levels of low mismatch. According to the results, Type 1 and Type 3 were the best current classroom furniture. The Sensitivity Analysis was performed in two ways: changing the weights of criteria in nine scenarios and comparing the results with five other MCDM methods. The proposed MCDM approach can be used widely in furniture procurement processes and educational environments.

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Section: Introductionmentioning

confidence: 99%

Developing a Multi-Criteria Decision Making approach to compare types of classroom furniture considering mismatches for anthropometric measures of university students

et al. 2020

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“…Based on the structure of the questionnaire and the obtained results, after performing the EFA the decision-making table was defined. The initial data in the decision table were obtained from employees' responses as mean values of assessments for each question (Dobrosavljević & Urošević, 2019), see Table 3.…”

Section: Resultsmentioning

confidence: 99%

The multi-criteria analysis of corporate social responsibility: a comparative study of Russia, Bulgaria and Serbia

Stojanović

Mihajlović

Safronova

et al. 2021

Journal of Management & Organization

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Cross-cultural research on corporate social responsibility (CSR) dealing with specific stakeholder groups is fairly rare in the existing literature. The aim of this research is to investigate the level of recognition of CSR in companies by employees working in micro/small, medium-sized and large companies. The research is based on the survey conducted in Bulgaria, Russia and Serbia with the employees' attitudes obtained via a structured questionnaire. A similar socio-historical background of the three countries and different levels of accomplished socio-economic development at present is taken into account. A proposed ranking methodology was based on the multi-criteria decision analysis approach, observed through five studied dimensions: environmental, social, economic, stakeholder and voluntariness. The ranking was carried out using the integrated Entropy-PROMETHEE-GAIA method, where the Entropy method was used for determining the weights of the criteria, whereas PROMETHEE-GAIA was used for final ranking. The obtained results were analyzed from the multi-cultural point of view and show more significant differences in the attitudes of employees from different countries, rather than when the size of a company is taken into consideration.

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“…Micro, small and medium companies are popular and suitable for considering the implementation of the concept of business process management [17]. Based on the above, it is possible to see a necessity for creating a model for evaluating human performance [18], especially because, according to Gürbüz and Albayrak [19], human performance assessment is one of the key areas for analysis of the continuity of a company.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of Human Resources in Transportation Companies Using Multi-Criteria Model for Ranking Alternatives by Defining Relations between Ideal and Anti-Ideal Alternative (RADERIA)

et al. 2021

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Multi-criteria decision-making methods (MCDM) represent a very powerful tool for making decisions in different areas. Making a rational and reliable decision, while respecting different factors, is a challenging and difficult task; MCDM models have a great impact on achieving this goal. In this paper, a new MCDM technique is presented—ranking alternatives by defining relations between the ideal and anti-ideal alternative (RADERIA), which was tested for the evaluation of human resources (HR) in a transportation company. The RADERIA model has three key advantages that recommend it for future use: (1) the RADERIA model has a new approach for data normalization that enables defining the normalization interval according to the judgments of a decision-maker; (2) an adaptive model for data normalization of the RADERIA model allows tough conversion into various forms of decreasing functions (linear, quadratic equation, etc.); and (3) the resistance of the RADERIA model to the rank reversal problem. Furthermore, in many simulations, the RADERIA method has shown stability when processing a larger number of datasets. This was also confirmed by a case study with 36 alternatives, as considered in this paper. The results and verification of the proposed new method were acquired through a comprehensive verification of the complexity of the results. The complexity of the results was executed through (1) comparison with four other multi-criteria methods, (2) checking the resistance of the RADERIA model to the rank reversal problem, and (3) the analysis of the impact of changes in the measurement scale on the ranking results.

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Analysis of business process management defining and structuing activities in micro, small and medium-sized enterprises

Cited by 10 publications

References 26 publications

Developing a Multi-Criteria Decision Making approach to compare types of classroom furniture considering mismatches for anthropometric measures of university students

Developing a Multi-Criteria Decision Making approach to compare types of classroom furniture considering mismatches for anthropometric measures of university students

The multi-criteria analysis of corporate social responsibility: a comparative study of Russia, Bulgaria and Serbia

Evaluation of Human Resources in Transportation Companies Using Multi-Criteria Model for Ranking Alternatives by Defining Relations between Ideal and Anti-Ideal Alternative (RADERIA)

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