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Publications - 6278

DOES TELEWORK WORK? GAUGING CHALLENGES OF TELECOMMUTING TO ADAPT TO A “NEW NORMAL”

Agota Giedrė Raišienė Tibor Dory Violeta Rapuano Kristina Varkulevičiūtė

Publication Name: Human Technology

Publication Date: 2021-10-31

Volume: 17

Issue: 2

Page Range: 126-144

Description:

The paper aims to contribute to a deeper understanding of organisation management while telecommuting. With exploratory factor analysis (EFA), we define the specific set of telework organising efficiency characteristics. We determined the number of factors with Kaiser Eigenvalues rule as well as Cattel’s scree criterion. We conducted the study in Lithuania, the country with a low percentage of teleworkers until organisations have been urged to properly implement their performance to remote means after the COVID-19 quarantine was announced. This paper reveals that the fundamental challenges of teleworking are the feedback issues related to working accomplishment, especially to the task and process overload, and individual self-organisation ability. Moreover, the flexibility of work organisation represents a unique characteristic of telework, and managers should cooperate more effectively with teleworkers to keep them motivated.

Open Access: Yes

DOI: 10.14254/1795-6889.2021.17-2.3

Solution of a fuzzy resource allocation problem by various evolutionary approaches

Peter Foldesi Zs Dányádi László T. Kóczy

Publication Name: Proceedings of the 2013 Joint Ifsa World Congress and NAFIPS Annual Meeting Ifsa NAFIPS 2013

Publication Date: 2013-10-31

Volume: Unknown

Issue: Unknown

Page Range: 807-812

Description:

In this paper we present a fuzzy resource allocation and assignment problem and propose two types of biologically inspired optimization methods to solve it. The resources in question are used for the maintenance of a network of nodes, each with its specific maintenance demands over time. Our goal is to assign sufficient capacities to storage locations and transport the appropriate amount of resources to the nodes at specific times during the simulation, so that the total cost of storage, transportation and malfunction is kept to a minimum. We use fuzzy numbers to describe the parameters of all the scenarios a solution has to fit, such as the maintenance demands of each node, the additional expenditure that malfunctions bring, and also the varying cost of transportation between nodes and storage locations. The optimization methods we used were the bacterial evolutionary algorithm and the particle swarm algorithm, both with a plain and a memetic variant complemented with gradient-based local search. All of them had a version where they only worked with crisp values, and one with fuzzy solutions. We tested the effectiveness of these four approaches on four examples with varying network sizes and durations. © 2013 IEEE.

Open Access: Yes

DOI: 10.1109/IFSA-NAFIPS.2013.6608504

Tracking the shift from health to harm: Development and validation of a short screening tool for orthorexia nervosa (STONE)

Andrea Petróczi Elizabeth Pummell Hilda Mulrooney Elina Mitrofanova

Publication Name: Appetite

Publication Date: 2025-10-01

Volume: 214

Issue: Unknown

Page Range: Unknown

Description:

Orthorexia Nervosa (ON), a problematic fixation on healthy eating, has captured researchers' attention for over a decade. We aimed to develop a brief screening tool for ON that captures physical appearance as a motivating factor, behavioural aspects (rigid control over food selection, consumption and preparation), and nutritional aspects (avoidance of foods considered “impure”). Using a sequential, iterative design, 687 participants completed a self-reported survey across four studies: item identification and selection through exploratory factor analysis (n = 248), testing factorial construct validity with confirmatory factor analysis (n = 127), discriminant validity via known group differences (n = 241), and test-retest reliability of two subsequent administrations of the selected items (n = 71). The final unidimensional version of the short Screening Tool for Orthorexia Nervosa (STONE) comprises eight items. It demonstrated excellent known-group validity and ability to differentiate ON from other types of strict dietary control (e.g., health-based or religious restrictions). Consistent with the view of ON as behaviours aimed at rigid dietary control, avoidance of “impure” foods, and motivation to enhance physical appearance, STONE scores positively related to measures of eating pathology and appearance orientation, while only weakly correlating with obsessive-compulsive tendencies. Based on its psychometric properties, STONE is recommended as a first-level screening tool for ON in research contexts and epidemiology studies among adults. Due to its brevity, it can be easily combined with other scales to explore ON or related phenomena. Future studies should examine convergent validity and test it among adolescents and in different cultural contexts.

Open Access: Yes

DOI: 10.1016/j.appet.2025.108227

Dynamic Capabilities and Technological Innovation for Firm Resilience: A Configurational Analysis

Mohammad Fakhrul Islam Siddiqur Rahman Md Rashed Jewel Rana Md Nazmul Islam Jihad Md Zubair Ahmad

Publication Name: Emerging Science Journal

Publication Date: 2025-10-01

Volume: 9

Issue: 5

Page Range: 2292-2317

Description:

Firm resilience is essential to manage response and rapid recovery from disruptive events for a firm. Moreover, there is limited literature that investigates the combined effects of dynamic capability and technological innovation that are interrelated with firm resilience. This study used the dimensions of firm resilience, which were investigated with both necessary condition analysis (NCA) and fuzzy-set Qualitative Comparative Analysis (fsQCA) methods using survey questionnaires from 308 respondents operating in Bangladeshi corporate industries that are currently facing uncertainties due to unforeseen crises. NCA results showed that visibility, market position, and digitalization achieved firm resilience as these antecedents reached the full percentile to achieve an optimal level of outcome. On the contrary, the influence of reserve capacity and big data analytics was not empirically significant for achieving firm resilience. Moreover, fsQCA results appreciated NCA results and showed four solutions that are sufficient for achieving a high level of firm resilience. The study reveals the configurational effects of dynamic capabilities and technological innovation to achieve firm resilience. The results show the necessary effects of configurational relationships that lead to outcomes. The configurational method is applied to identify the combined effects of antecedents that help managers predict high levels of firm resilience in a turbulent environment.

Open Access: Yes

DOI: 10.28991/ESJ-2025-09-05-01

Vehicle Dynamics Measurements with a Unique Measuring System for Trams

Miklós Kuczmann Szabolcs Fischer Péter Böröcz Szabolcs Kocsis Szurke Vivien Jóvér Bence Hermán

Publication Name: Lecture Notes in Networks and Systems

Publication Date: 2025-01-01

Volume: 1258 LNNS

Issue: Unknown

Page Range: 24-33

Description:

One of the paramount challenges in contemporary urban transport is the efficient maintenance and operation of tramway tracks, aiming to maximize their lifespan while ensuring safe and comfortable passenger travel. Traditional methods of examining superstructure systems through observation and geometric measurements are insufficient; understanding the dynamics of vehicles adhering to their schedules is equally critical. To address this, we developed an innovative portable vehicle dynamics measurement system equipped with accelerometers and a GPS module (with GNSS system), facilitating real-time tram dynamics testing. This versatile device can be deployed at any time and on any tram, enabling continuous monitoring of track conditions. The dynamic data gathered can be systematically compared with geometric measurements, providing comprehensive insights into the railway track's condition and informing maintenance strategies. The paper consists of several examples for comparison (geometric and dynamic data series) and discusses how to develop the instrument further.

Open Access: Yes

DOI: 10.1007/978-3-031-81799-1_3

Investigating Combustion Process of N-Butanol-Diesel Blends in a Diesel Engine with Variable Compression Ratio

Kristóf Lukács György Szabados Ákos Bereczky

Publication Name: Clean Technologies

Publication Date: 2021-09-01

Volume: 3

Issue: 3

Page Range: 618-628

Description:

The search for alternative fuels for internal combustion engines is ongoing. Among the alternatives, plant-based fuels can also be mentioned. Alcohol is not a common fuel for diesel engines because the physical and chemical properties of the alcohols are closer to those of gasoline. In our research, the combustion properties of diesel-n-butanol mixtures have been investigated to obtain results on the effect of butanol blending on combustion. Among the combustion properties, ignition delay, in-cylinder pressure, and heat release rate can be mentioned. They have been observed under different compression conditions on an engine on which the compression ratio can be adjusted. The method used was a quite simple one, so the speed of the engine was set to a constant 900 rpm without load, while three compression ratios (19.92, 15.27, and 12.53) were adjusted with a fuel flow rate of 13 mL/min and the pre-injection angle of 18◦ BTDC. Blending butanol into the investigated fuel does not significantly affect maximal values of indicated pressure, while much more effect on the pressure rising rate can be detected. Furthermore, heat release rate and ignition delay increased at every compression ratio investigated. Despite the low blending rates of butanol in the mixtures, butanol significantly affects the combustion parameters, especially at high compression ratios.

Open Access: Yes

DOI: 10.3390/cleantechnol3030037

Cybersecurity Regulations and Software Resilience: Strengthening Awareness and Societal Stability

Boris Bučko Joseph Squillace Justice Cappella Roland Kelemen Martin Mazuch Ádám Medvácz

Publication Name: Social Sciences

Publication Date: 2025-10-01

Volume: 14

Issue: 10

Page Range: Unknown

Description:

The societal effects of cybersecurity are widely discussed, but it remains less clear how software security regulations specifically contribute to building a resilient society, particularly in relation to Sustainable Development Goals 5 (Gender Equality), 10 (Reduced Inequalities), and 16 (Peace, Justice and Strong Institutions). This study investigates this connection by examining key EU and U.S. strategies through comparative legal analysis, software development (SDLC) case studies, and a normative–sociological lens. Our findings reveal that major regulations—such as the EU’s Cyber Resilience Act and the U.S. SBOM rules—are not merely reactive, but proactively embed resilience as a fundamental mode of operation. This approach structurally reallocates digital risks from users to manufacturers, reframing software security from a matter of compliance to one of social fairness and institutional trust. We conclude that integrating ‘resilience by design’ into technology rules is more than a technical fix; it is a mechanism that makes digital access fairer and better protects vulnerable populations, enabling technology and society to advance cohesively.

Open Access: Yes

DOI: 10.3390/socsci14100578

Replacing Traditional Transmission Models with Artificial Intelligence †

Cs Tóth-Nagy Tamás Koller

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

The development of vehicle simulation models is becoming increasingly important, especially for the virtual validation of new automotive features. New methods are emerging that need to be tested and validated to ensure their proper functioning. The use of artificial intelligence methods can accelerate product development processes, so it is essential for companies to examine the applicability of these solutions. This article compares the results of a traditional rule-based transmission model and an artificial intelligence-based transmission model against real vehicle measurements. Creating a transmission model using the new artificial intelligence-based method requires less time and effort than developing a rule-based model. However, experimental data is required to train the model. This paper addresses the challenges of artificial intelligence-based transmission modeling and highlights the new advantages of artificial intelligence-based solutions.

Open Access: Yes

DOI: 10.3390/engproc2025113061

Bananas, coffee and palm oil: The trade of agricultural commodities in the framework of the EU-Colombia free trade agreement

Laszlo Vasa Béla Soltész Julieth P.T. Cubillos

Publication Name: Plos One

Publication Date: 2021-08-01

Volume: 16

Issue: 8 August

Page Range: Unknown

Description:

Generally, research and studies about commodities focus on price trends, analysis in terms of international competitiveness, market position structure, rate of net exports, market share, and concentration index. This paper has developed an analysis of the most influential agricultural commodities traded from Colombia to European Union, which are bananas, coffee, and palm oil. Analyzing the economic and commercial effects in two traditional agricultural commodities from Colombia (bananas and coffee) with the rise of palm oil as a commodity in the trade relation with its partner; the European Union. The structure draws from the overview of general aspects and the behavior of Colombian foreign trade, as diversification of export products and trade partners, to focus on the characteristics of the trade relationship between the European Union and Colombia. The aim is analyze the proportional relation between bananas, coffee, and palm oil exported to the EU, according to three indicators, the volume of production, exports share, and trade value, from 2008 until 2019, identifying the trends before and after the implementation of the free trade agreement. Finally, with the coefficient correlation, determine the agricultural commodity that has the strongest and positive relationship with the total agricultural exports value from Colombia to the European Union.

Open Access: Yes

DOI: 10.1371/journal.pone.0256242