1. Multi-criteria measurement of ai support to project managementVesna Čančer, Polona Tominc, Maja Rožman, 2023, izvirni znanstveni članek Opis: This paper aims to measure the level of artificial intelligence (AI) support to project management (PM) in selected service sector activities. The exploratory factor analysis was employed based on the extensive survey on AI in Slovenian companies and the multi-criteria measurement with an emphasis on value functions and pairwise comparisons in the analytic hierarchy process. The synthesis and performance sensitivity analysis results show that in the service sector, concerning all criteria, PM is with the level 0.276 best supported with AI in services of professional, scientific, and technical activities, which also stand out concerning the first-level goals in using AI solutions in a project with the value 0.284, and in successful project implementation using AI with the value 0.301. Although the lowest level of AI support to PM, which is 0.220, is in services of wholesale and retail trade and repair of motor vehicles and motorcycles, these services excel in adopting AI technologies in a project with a value of 0.277. Services of financial and insurance activities, with the level 0.257 second-ranked concerning all criteria, have the highest value of 0.269 concerning the first-level goal of improving the work of project leaders using AI. The paper, therefore, contributes to the comparison of AI support to PM in service sector activities. The results can help AI development policymakers determine which activities need to be supported and which should be set as an example. The presented methodological frame can serve to perform measurements and benchmarking in various research fields.
Ključne besede: artificial intelligence, factor analysis, multiple criteria, performance sensitivity, project management
Objavljeno v DKUM: 12.02.2024; Ogledov: 369; Prenosov: 33
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2. The multiple critera assessment of social responsibility in organizationsVesna Čančer, Simona Šarotar Žižek, objavljeni znanstveni prispevek na konferenci Opis: The assessment of social responsibility (SR) in organizations requires a hierarchy of requisitely holistic factors and indicators. This paper introduces the development of measuring instrument for this multidimensional problem. Differently from using factor analysis based on principal component analysis extraction method, it presents the use of exploratory factor analysis (EFA) to develop the multiple criteria model for the assessment of SR. It also discusses several approaches for the weights determination: because considering factor loadings of the indicators obtained via EFA does not tend to differentiate between the levels of importance, the SMARTER method based on ordinal scale was used in criteria weighting. It proposes the solutions for measuring local alternatives’ values with respect to indicators by using value functions. Application possibilities of the results of the multiple criteria assessment of SR are illustrated and discussed via a real-life case of organizations in Slovenia.
Ključne besede: exploratory factor analysis, multiple criteria model, social responsibility, weighting
Objavljeno v DKUM: 21.07.2017; Ogledov: 1115; Prenosov: 132
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3. Model for optimal project portfolio for the construction of railway infrastructure on corridors V and XAnton Hauc, Majda Bastič, Lidia Jurše, Mirko Pšunder, 2010, drugi znanstveni članki Opis: The construction of railway infrastructure should be dealt with as a national strategic developmental programme, which due to technical, geographical, logistical, and other requirements is carried out through a number of projects and represents a complex multiple project operation for investors, contractors, and other influential players. The national strategic developmental programme for the construction of the railway infrastructure is connected through programmes in neighbouring countries and EU member states to Trans-European Networks (TEN) that strategically regulate construction within the community. In the Republic of Slovenia, the construction of railway infrastructure within TEN programmes is carried out on the pan-European traffic corridors V and X within individual projects for the construction of sections and a number of supporting projects. Technical requirements, deadlines, and other TEN requirements as well as national strategic requirements and financial possibilities of the state represent basic criteria that should be taken into consideration in setting up a strategic project plan, with optimal project classification achieved through the implementation project portfolio. The current article utilised the method of multiple-criteria decision analysis to prepare the portfolio, taking into account macroeconomic and infrastructural criteria. Consequently, the results represent the basis for the preparation of an optimal financial plan with regard to financing possibilities of the Republic of Slovenia and the European Union. The article also summarised the research results regarding the formation of the project implementation process of the TEN-T network construction in the Republic of Slovenia.
Ključne besede: national strategic development, railway infrastructure construction, railway corridors V and X, project portfolio, multiple-criteria decision analysis, Republic of Slovenia
Objavljeno v DKUM: 05.06.2017; Ogledov: 1662; Prenosov: 431
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4. The multiple criteria assessment of social responsibility in organizationsVesna Čančer, Simona Šarotar Žižek, 2013, objavljeni znanstveni prispevek na konferenci Opis: The assessment of social responsibility (SR) in organizations requires a hierarchy of requisitely holistic factors and indicators. This paper introduces the development of measuring instrument for this multidimensional problem. Differently from using factor analysis based on principal component analysis extraction method, it presents the use of exploratory factor analysis(EFA) to develop the multiple criteria model for the assessment of SR.It also discusses several approaches for the weights determination: because considering factor loadings of the indicators obtained via EFA does not tend to differentiate between the levels of importance, the SMARTER method based on ordinal scale was used in criteria weighting. It proposes the solutions for measuring local alternativesʼ values with respect to indicators by using value functions. Application possibilities of the results of the multiple criteria assessment of SR are illustrated and discussed via a real-life case of organizations in Slovenia.
Ključne besede: exploratory factor analysis, multiple criteria model, social responsibility, weighting, Slovenia
Objavljeno v DKUM: 10.07.2015; Ogledov: 1014; Prenosov: 82
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