RFOS - Repository of Faculty of Organizational Sciences Univ. of Belgrade
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Confluence of open innovation and sharing economy: lessons learned and roadmap for future research
No full textDigital transformation has travelled a short and impactful period from a crisp modern utility to a formidable business necessity. As a result, a myriad of business models have unfolded. The one that excels with its capabilities and transformative prosperous potential is open innovation (OI). While establishing its integrity and identity throughout decades, it has proven beneficial in forging strong confluences with other business models, amongst which the sharing economy (SE) stands out. As front-runners of modern digitalisation trends, empowering sustainable business, servitisation, and responsible consumption of artificial intelligence, SE and OI have determined a new research field representing their theoretical and practical interrelations. Therefore, this study aims to identify research gaps in the latter while outlining constructive implications. Leveraging the metadata provided by Web of Science, the study identifies the literature related to the confluence of SE and OI. Additionally, by combining the findings of bibliometric analysis with a conscientious qualitative analysis of a limited number of articles, the study amplifies the holistic characteristics of the research topic. Finally, a set of straightforward research findings and implications for practitioners and academia is granted as a foundation for future research endeavours.Naučni rad je dostupan online na https://external.invajo.com/events/17021e93-866f-49c3-978d-d70195e20e42/scheduling/fb72546c-2c47-4ff3-bb2b-dddb20c79a31/dates/d5b0e64c-0d22-48ec-9c5a-500ce0aec540?session=784f386b-2d0e-400d-a5a5-75bbd3f478e
Logic-Based Evaluation Of Production Scheduling Rules Using Interpolative Boolean Algebra
No full textThis paper proposes a logic-based approach based on Interpolative Boolean Algebra (IBA) for multi-criteria evaluation of different priority and dispatching rules for production scheduling. Scheduling is crucial in optimizing operational activities, enabling efficient resource allocation within specific time constraints. While standard approaches to multi-criteria evaluation often use the weighted sum or weighted product method, they cannot capture logical and statistical relationships from the data. To address these limitations, we propose logical aggregation (LA) based on IBA, ensuring transparency and explainability in data aggregation. This paper evaluates the performance of six well-known priority and dispatching rules on 30 common benchmark instances of the job shop problem based on four scheduling criteria functions as input attributes. Analysis shows that the Critical Ratio rule performs the best, with Earliest Due Date also being a solid recommendation. This is a valuable insight for production managers unable to perform time-consuming simulations when facing tight deadlines
Sharing Economy Index: How can it be altered?
No full textSharing economy is defined as a business model in which individuals (providers) share an
unused resource with others (consumers) for a predefined period and price via online platform. Since the model first emerged in the 2000s, it quickly spread in industries such as transport, tourism, apparel, working space, and others. With it, the need of decision-makers and practitioners for a metric and ranking system, emerged. To this day, several metrics have been devised. The composite index which is the focus of this study is the Sharing Economy Index (SEI) 2023, published by Consumer Choice Center. The interest of the paper is to observe and scrutinise the current weighting scheme of the index by applying the statistical multivariate analysis Ivanovic distance (I-distance) and Composite I-distance Indicator (CIDI) methodology. The results show that the SEI structure should be in four pillars, with the most importance awarded to E-Scooters
indicator. This paper attempts to draw attention to the field of composite indicators in the field of sharing economy and their methodological aspects
DIGITAL TWIN: APPLICATION OF MODERN TECHNOLOGY IN PRODUCTION
No full textU eri digitalizacije i sa razvojem Industrije 4.0, nastao je koncept digitalnog
blizanca, koji čini ključnu komponentu „pametnih“ fabrika. Primena digitalnog blizanca
je najčešća u proizvodnji, gde se koristi za razvoj i dizajn proizvoda, merenje, praćenje,
nadzor, kao i kontrolu proizvodnih procesa. U ovom radu je predstavljen digitalni
blizanac, koji predstavlja skup tehnologija koje prevode fizički u digitalni svet i
omogućavaju njihovu komunikaciju i razmenu podataka. Svrha rada je da se predstave
karakteristike, funkcionalnosti, prednosti i nedostaci primene digitalnog blizanca u
proizvodnji. Cilj rada je da se prikažu primeri primene digitalnog blizanca u proizvodnji.
Namera ovog rada je da se, na osnovu primera dobre prakse, ukaže na značaj i
unapređenja koja nastaju primenom digitalnog blizanca u proizvodnji. Primena
digitalnog blizanca unapređuje proizvodni proces, otklanja greške, smanjuje troškove
proizvodnje i optimizuje planiranje i realizaciju proizvodnje
Collaborative servitization in service-oriented company: The case study of telco company
No full textThere is a growing interest in the subject of product-service system (PSS) and collaborative servitization in academia and practice. However, the focus is on exploring the growth of manufacturing companies without specifically analyzing the growth of service companies in applying PSS. There are companies, especially in the telco industry, that expand their service business to complex bundles of products and services. The paper investigates PSS in the service company and the role of collaboration in different PSS development phases: idea generation, development and go to market phase. The study adopted case-based research conducted in international Telco organization. The research demonstrates how a company creates and commercializes integrated packets of products and services, it identifies partners company works with and the benefits and challenges of their cooperation. The study addresses collaboration with customers and identifies five different customer profiles according to their openness to participate in the development of PSS. The study highlights the importance of (1) collaboration models, (2) customer involvement, and (3) strategic focus in successful application of collaborative servitization. The findings complement the literature for collaborative servitization and offer concrete input for companies in terms of how to better organize business, profit from collaboration models and gain market advantage
The use of Simulation Models for Analyzing Costs in Additive Manufacturing Facilities
No full textIn the current market environment, characterized by volatility and uncertainty, informed decisionmaking is crucial for the sustainability and success of entrepreneurial and business ventures. This paper explores the practical application of simulation models as analytical tools, demonstrated through the creation and analysis of a simulation model of an additive manufacturing facility. Simulation models are effective tools for gaining a deeper understanding of real-world systems. Additive manufacturing, as a sustainable alternative to traditional methods, is gaining traction, with fused deposition modeling being particularly notable for its safety, widespread adoption, and cost-effectiveness. By simulating a small to medium-scale manufacturing operation, this paper aims to provide practical insights into the integration of simulation models and small-scale manufacturing facilities that implement additive manufacturing methods. These insights are designed to assist decision-makers in making informed decisions, weighing alternatives, and mitigating unnecessary waste and risk when initiating an entrepreneurial venture
A systematic review of computer vision-based personal protective equipment compliance in industry practice: advancements, challenges and future directions
No full textComputerized compliance of Personal Protective Equipment (PPE) is an emerging topic in academic literature that aims to enhance workplace safety through the automation of compliance and prevention of PPE misuse (which currently relies on manual employee supervision and reporting). Although trends in the scientific literature indicate a high potential for solving the compliance problem by employing computer vision (CV) techniques, the practice has revealed a series of barriers that limit their wider applications. This article aims to contribute to the advancement of CV-based PPE compliance by providing a comparative review of high-level approaches, algorithms, datasets, and technologies used in the literature. The systematic review highlights industry-specific challenges, environmental variations, and computational costs related to the real-time management of PPE compliance. The issues of employee identification and identity management are also discussed, along with ethical and cybersecurity concerns. Through the concept of CV-based PPE Compliance 4.0, which encapsulates PPE, human, and company spatio-temporal variabilities, this study provides guidelines for future research directions for addressing the identified barriers. The further advancements and adoption of CV-based solutions for PPE compliance will require simultaneously addressing human identification, pose estimation, object recognition and tracking, necessitating the development of corresponding public datasets
Online labor platforms and taxation: A scoping review
No full textOnline labor platforms have been disrupting the landscape of employment in recent years.
The efficient model of taxation of this new employment model has, however, lagged. This paper aims to
provide an early scoping review of the literature on the taxation of online labor platforms. When observed
through the stakeholder point of view, we see that cross- and transnational, government-to-platform,
and platform-to-employee relationships are the only topics examined so far. This paper can serve other
scholars in navigating their investigations related to the taxation of platform wor
