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Abstract: Supplier evaluation and selection is essential to any organization, and planning an effective and comprehensive approach to that end seems inevitable. Meanwhile, determining the requisite criteria for evaluating and selecting suppliers is probably one of the most important steps to be taken towards developing an evaluation and selection model in the organization. In this article, first a review of the literature on the criteria and the field of supplier evaluation and selection are provided. These criteria are then placed into proper categories. In order to formulate a supplier evaluation and selection framework for the manufacturing organization under study, the implemented categorization is applied where a list of fifteen attributes and performance criteria is created; where upon it is secured with the help of a designated panel (project team). These features are then screened using Lawshe's method the "social attribute" is removed from the list of fifteen. The remaining 14 other criteria are configured within the SEAP (Suppliers Evaluation based on Attributes and Performances) framework. The framework follows the objective of continually evaluating suppliers, both potential and actual ones through incorporating their performances into their qualification ratings. Based on the proposed framework, suppliers are evaluated on the basis of two types of criteria, - feature (attribute) and performance.
Keywords: framework, supplier evaluation, supplier selection, criteria, performance measurement, attributes, Lawshe's method
Published in DKUM: 22.08.2024; Views: 65; Downloads: 2
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Abstract: This paper deals with the multi-criteria evaluation of the intermodal (rail/road) freight corridors as competing transport alternatives. For such a purpose, the methodology has been developed consisting of two main components; i) the analytical models for estimating the indicators and measures of the corridors’ physical/spatial or infrastructural, technical/technological, operational, economic, social, and environmental performance; and ii) the MCDM (Multi-Criteria Decision Making) method using the above-mentioned indicators and measures of performance as the evaluation attributes/criteria in ranking and identifying the preferred among the several mutually competing freight transport alternative corridors. The proposed methodology has been applied to two Trans-European intermodal rail/road freight transport corridors. As such, it has shown to be of use, in addition to the researchers, also to the other potential DMs (Decision Maker(s)). These could be, for example, the freight shippers/receivers as the users of the already existing intermodal (rail/road) transport services, the transport and intermodal terminal operators and infrastructure providers, and the business and policy makers facing with the problems of allocating the usually limited investments in the social-economic feasible way to the corresponding infrastructure at the local, regional, national, and international scale.
Keywords: intermodal (rail/road) freight transport corridors, indicators and measures of performance, multicriteria evaluation
Published in DKUM: 22.08.2024; Views: 57; Downloads: 2
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Abstract: The quality of educational work is inextricably linked to many factors at the system, school, teacher, and student levels. This research was carried out within the project ‘Education of Teachers as a Factor of Providing High-quality Life-long Learning in the Learning Society/The Society of Fast Socio-economic Changes and Unsure Future’, funded by the Slove-nian Research Agency. This paper provides a basic overview of the char-acteristics of open instruction, an umbrella term that combines active and learner-centred didactic strategies. The empirical section focuses on the use of didactic strategies. The survey was carried out with 1,536 primary school4 pupils in Grades 7 and 9 and 263 of their teachers. Both pupils and teachers cited problem-based learning and research-based learning as the most commonly used didactic strategies, while project-based learning was the least frequently used. Despite the agreement on the most and least frequently used didactic strategies, there are statisti-cally significant differences between pupils’ and teachers’ perceptions of all selected didactic strategies. Teachers reported that they used these strategies more often than was perceived by their pupils. We also found a statistically significant impact of better learning performance on the perception of certain didactic strategies. The results of the study raise new research questions, especially in the design of more detailed analy-ses of the use of didactic strategies in pedagogical practice.
Keywords: academic performance, didactic strategies, primary school, pupil activity
Published in DKUM: 14.08.2024; Views: 57; Downloads: 3
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Abstract: PLS-SEM has been used recently more and more often in studies researching critical factors influencing the acceptance and use of information systems, especially when the technology acceptance model (TAM) is implemented. TAM has proved to be the most promising model for researching different viewpoints regarding information technologies, tools/applications, and the acceptance and use of information systems by the employees who act as the end-users in companies. However, the use of advanced PLS-SEM techniques for testing the extended TAM research models for the acceptance of enterprise resource planning (ERP) systems is scarce. The present research aims to fill this gap and aims to show how PLS-SEM results can be enhanced by advanced techniques: artificial neural network analysis (ANN) and Importance–Performance Matrix Analysis (IPMA). ANN was used in this research study to overcome the limitations of PLS-SEM regarding the linear relationships in the model. IPMA was used in evaluating the importance and performance of factors/drivers in the SEM. From the methodological point of view, results show that the research approach with ANN artificial intelligence complements the results of PLS-SEM while allowing the capture of nonlinear relationships between the variables of the model and the determination of the relative importance of each factor studied. On other hand, IPMA enables the identification of factors with relatively low performance but relatively high importance in shaping dependent variables.
Keywords: traditional PLS-SEM, artificial neural network (ANN) analysis, Importance–Performance Matrix Analysis (IPMA), ERP system acceptance, TAM model
Published in DKUM: 09.07.2024; Views: 90; Downloads: 3
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Abstract: The aim of the study was to examine the association between cardiorespiratory and metabolic parameters and match running performance (MRP) in highly trained football players. The sample of participants consisted of 41 national-level football players (aged 23.20 ± 3.40 years, body height 182.00 ± 5.15 cm, and body mass 76.86 ± 6.06 kg) from the Serbian Super league. For the purposes of this research, the following measurements were applied. A maximal multistage progressive treadmill test, with a direct measurement of maximal oxygen consumption (VO2max) (using Fitmate MED, Cosmed, Rome, Italy) was conducted, alongside continuous heart rate monitoring. Capillary blood samples were taken from the hyperemic area using specific test strips, and, after sample collection, lactate concentration was immediately determined using a lactate analyzer. MRP variables were analyzed according to the BioIRC model of motion structure analysis, based on existing standards for profiling movement intensity. The results of multiple regression analysis indicated an association between cardiac parameters and total distance (R2 = 54.3%, p = 0.000), high-speed running (R2 = 46.4%, p = 0.000), and jogging (R2 = 33.6%, p = 0.004). Regression analysis revealed an association between cardiorespiratory parameters and total distance (R2 = 24.8%, p = 0.014), and high-speed running (R2 = 20%, p = 0.039). Meanwhile, no association was found between lactate concentration and running performance. The explanation for these regression analysis results is based on the observation that functional abilities represent significant potential for expressing movement performance, a crucial condition for success in football.
Keywords: football players, physical performance, cardiovascular endurance, lactate concentration, maximal heart rate, professional soccer players, running performance analysis, VO2max
Published in DKUM: 01.07.2024; Views: 84; Downloads: 3
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