RFOS - Repository of Faculty of Organizational Sciences Univ. of Belgrade
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Project Management Software - Catalyst or Constraint?
No full textThis study extends the authors' previous research that investigated the impact of project management software on project success. Conducted research expands the background research by providing a deeper analysis of the correlations between project methodologies, software use on the project, the UN Sustainable Development Goals (SDGs) and project success. Analysing the data collected from conducted surveys showed that Agile projects achieve fewer UN Sustainable Development Goals due to limited applicability outside the IT industry. However, in both Agile and Waterfall methodologies, projects are more successful when they are managed with software than when they are not. The study highlighted software preferences: Agile projects use Jira and ClickUp, while Waterfall methodology opt for MS Project. These findings offer valuable insights, highlighting the importance of strategic software selection aligned with specific methodologies, providing professionals and organizations with a road map to enhance project success and meaningfully contribute to the Sustainable Development Goals
A Novel Approach to the Team Estimations in the Agile Software Development
No full textOne of the main challenges that organizations are currently facing is resource allocation and planning. It is becoming very hard for the organization or team to achieve excellence in results and to deliver the requirements to the clients quickly and in a timely manner. Some of the road blockers and factors for that could be found in: poor initiation, wrong estimation, lack of clear objective, failure to communicate properly and everything done by one individual. In Agile IT operations, estimation techniques can be used to properly plan for resource allocation. This is especially important and it could be very challenging in the remote working environment that was introduced recently. The main objective of this paper is to propose a new decision support system for estimates. To achieve this, next two secondary objectives were defined: (a) review the existing estimation techniques that are widely used by companies for project management and proposed by other researchers; (b) explore different aspects of the estimation process and identify areas for the potential improvement, which is achieved by analyzing the results collected from the survey that was organized in the previous period. Findings from the secondary objectives were used to formulate improvements in the area of team consensus in estimates, logical approach when calculating the estimates and feedback, which are incorporated in the mentioned decision support system
Sustainable route selection of petroleum transportation using a type-2 neutrosophic number based ITARA-EDAS model
No full textAccidents occurring in the process of petroleum transportation have dire consequences for the population and environment. In this study, the sustainable route selection problem has been addressed from the multi-criteria decision-making (MCDM) perspective for the first time. The study aims to help planning authorities find the most sustainable route for pet-roleum transportation by introducing both practical and methodological evaluation frame-works for solving this global problem. Firstly, twelve key decision-making criteria were elaborated to provide a practical framework for the authorities. Secondly, we introduced an advanced decision-making tool based on the integration of the Indifference Threshold-based Attribute Ratio Analysis (ITARA) method and the Evaluation based on Distance from Average Solution (EDAS) method under the type-2 neutrosophic number (T2NN) environment. The T2NN-ITARA method was formulated to determine the semi -objective importance of the key decision-making criteria. The T2NN-EDAS method was developed to rank alternative routes and reveal the most sustainable solution. This research offers real-world guidelines for selecting the most sustainable transportation route for petroleum derivatives using a case study of the city of Belgrade. It is recom-mended to direct dangerous goods vehicles towards the outskirts of the city. Finally, the introduced T2NN-ITARA-EDAS model can be used to solve other complex MCDM problems
Adoption Intention of an IoT Based Healthcare Technologies in Rehabilitation Process
No full textThe research problem of this article is growing challenges to acceptance and relatively slow adoption of Internet of Things (IoT) based healthcare technologies in day-to-day practice among healthcare professionals. Many studies have offered important insight into the adoption of IoT-based healthcare technologies among employees and patients, but the attitudes of health technicians-professionals have rarely been researched. Research aimed to examine the readiness for adoption of IoT healthcare technologies as an assistive technology in the rehabilitation therapy among technician employees in the clinic for rehabilitation in Belgrade. In this study, we propose an integrated research model based on two perspective models - Technology Acceptance Model (TAM) and the Theory of Planned Behaviour (TPB). Our model includes variables from TAM: perceived usefulness, perceived ease of use, attitudes; TPB: attitudes and subjective norm and inclusion of personal innovativeness. The model is tested on responses obtained from a survey of 85 healthcare professionals the in clinic for rehabilitation in Belgrade, Serbia. The findings suggest that the intention to adopt IoT healthcare technologies in a rehabilitation process is positively influenced by perceived usefulness, attitudes, subjective norms, perceived ease of use, and personal innovativeness. We found no evidence that age and gender influenced the intention to adopt or use IoT healthcare technologies. This study contributes with an empirical attempt that includes healthcare technicians-physiotherapists in enhancing the adoption and application of IoT healthcare technologies as assistive technologies. Findings can help countries in the region conduct similar research among healthcare professionals
Extended PROMETHEE approach with 2-tuple linguistic m-polar fuzzy sets for selection of elliptical cardio machine
No full textThe Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) is an outranking series of multi-attribute decision making used to assess a finite collection of alternatives based on conflicting criteria. One of its significant benefits is its adjustability in response to a set of acceptable preference functions that may quantify the differences between alternatives conditional on the kind and structure of the criteria. This article offers the novel approach of the PROMETHEE method, named the 2TLmF PROMETHEE method, which combines the multi-polarity with linguistic information of decision problems. The customary procedure of the offered technique begins with the normalized weights of the attributes assigned by decision-makers. After that, Gaussian and the usual preference functions are utilized to determine the preferences of the alternatives. The ultimate choice is based on the alternative's positive and negative outranking flow. The positive outranking demonstrates how one alternative outranks all other options, while the negative preference flow implies an alternative is superior to all other options. There are several modifications to the PROMETHEE approach, two of which are discussed in this article. The first is PROMETHEE I, which uses positive and negative preference flows to generate a partial ranking. Secondly, PROMETHEE II gives a comprehensive rating list based on the net flow, representing the balance of positive and negative preference flows. Further, a comprehensive flowchart is used to show the entire picture of the proposed methodology. As an application, a real-life situation related to selecting an elliptical machine for a home gym is chosen to illustrate the transparency and reliability of the presented work. Finally, a comparative study is carried out to illustrate the strength and applicability of the proposed method
HR Analytics: Serbian Perspective
No full textThe explosion of new business models is not only the consequence of the accelerated development of information and communication technologies but also of a global crisis. Disruptions such as the COVID-19 pandemic have made managers realize faster that change is necessary and has already taken place. Traditional Human Resources (HR) models were not ready to respond to the challenge of digital transformation. The “new normal” implies a new set of necessary skills, capabilities, and a different working environment. Companies face the challenge to innovate HR functions by developing new career paths and creating more flexible models and relationships with different stakeholders. Most business leaders have become aware that it is impossible to carry out a business transformation without quantifying HR functions. HR analytics is on the business agenda, and it is the fastest-growing area of HR Management today, driven significantly by global crises, and it will be more crucial for organizations’ decision-making on how to proceed to the “next normal”. The paper defines HR 5.0 as the future of HR, in the framework of Industry 5.0. It attempts to study the state-of-the-art HR in order to explore the current status and perspectives of HR analytics in Serbia and points out the approach that radically transforms the use of human data by policymakers; moreover, it defines one set of conceptual recommendations for successful HR implementation
A comparative study of evaluating and benchmarking sign language recognition system-based wearable sensory devices using a single fuzzy set
No full textRecent research has focused on developing real-time sign language recognition systems (SLRSs) based on gesture recognition to classify hand motions into their equivalent meaning in spoken language, but no comprehensive system with all desirable features has been presented. The existence of different systems has hindered the process of selecting the most preferred system. Therefore, many researchers have compared and evaluated several recognition systems to identify the best one using multicriteria decision-making methods. These studies extended the fuzzy decision by opinion score method (FDOSM) using a single Likert scale under the Pythagorean fuzzy set (PFS) or one of its extensions. However, no comparative study has examined the influence of using multiple Likert scales with a single fuzzy set. Furthermore, the effect of employing multiple Likert scales on benchmarking results is a challenging task. Therefore, this paper examines the three Likert scales (five-, seven- and ten-point) under the same fuzzy environment. This paper extends FDOSM into PFSs based on the power Bonferroni mean (PBM) operator (named PFDOSM-PBM) to benchmark the real-time SLRS. The decision matrix is constructed based on 30 real-time SLRS-based wearable sensory devices and the 11 evaluation criteria. The results reveal that the five-point Likert scale is superior to other scales (i.e., seven- and ten-point) as it is flexible, easy to use and generates more accurate findings on the basis of uncertainty compared to other scales. Systematic ranking and comparative analysis are conducted to validate and evaluate the proposed method
Auditor's Perception of Stress During the Covid19 in the Republic of Serbia
No full textThe study intends to investigate how much stress people working in the auditing industry in the Republic of Serbia perceive to be brought on by Covid19. An adjusted Cohen's perceived stress scale was used. The answers to the questionnaire were analyzed by the method of descriptive statistics and by applying a simple regression analysis on the ratio of the age of the respondents and the evaluation of the answers to the tested statements. The main finding is that Covid19 significantly worsened stress levels and mental health of auditors. They believe that Covid19 significantly increased their stress levels during daily planning and implementation of work and personal obligations. This study can be used as a concept and a guide by external audit firms and internal audit departments to help those engaged in audit work to overcome stressful situations and master stress management techniques through training and interviews with professionals and by developing a stronger organizational culture
A decision analysis model for smart mobility system development under circular economy approach
No full textCircular economy (CE) is recognized as one of the most popular theories of the decade. Its domain spreads to disciplines like production, environmental sciences, and transport/mobility sectors. This research corresponds to one of the essential questions in CE which look for effective solutions in smart mobility systems regarding eco-innovation indicators. We conducted a deep survey on CE and smart mobility literature and sorted out potential solutions (alternatives) and fundamental indicators based on the Quintuple Helix model. Then, a rough-based multiple criteria decision analysis model was adopted by the incorporation of LMAW (logarithm methodology of additive weights) and MARCOS (measurement of Alternatives and Ranking according to the COmpromise Solution) methods. To analyse the potential solutions, ten experts from relevant sectors assisted us in composing an assessment platform through qualitative comparison. Initial results showed that public transport (good practices) and shared mobility services are amongst the best solutions for establishing a smart mobility plan. Our decision-making model was tested and showed that our ranking scores are highly confidential and stable. The outcome of this study can be benchmarked in urban planning, where policymakers should rethink the transport and mobility sectors, structuring, development, and economic remodelling which are top decision-making problems nowadays