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Publications - 6374

CSR and workplace autonomy as enablers of workplace innovation in SMEs through employees: Extending the boundary conditions of self-determination theory

Laszlo Vasa Susana Álvarez-Otero Jacob Cherian Ubaldo Comite Muhammad Safdar Sial Beili Li Xu Fan Muhammad Safdar Sial

Publication Name: Sustainability Switzerland

Publication Date: 2021-06-01

Volume: 13

Issue: 11

Page Range: Unknown

Description:

The current business environment characterized by high uncertainty, volatility, and stiff situation of competitiveness that is evident in almost every sector has increased the importance of workplace innovation for contemporary businesses. In this regard, a considerable attention in realizing employees of an organization as a source of innovation is not evident from the existing literature. In this aspect, the current study is an attempt to foster workplace innovation through employees in the SME sector of an emerging economy. In doing so, the authors propose that corporate social responsibility (CSR) initiatives of an SME, along with workplace autonomy, are helpful in creating an environment at the workplace that fosters innovative employee behavior (IEB). Furthermore, the current study also extends the boundary condition of the theory of self-determination by arguing that this theory provides a comprehensive framework to explain employees’ motivation for workplace innovation. The data of the current survey was obtained from the SME sector situated in two large cities of a developing country through a self-administered questionnaire which was then analyzed through structural-equation-modeling (SEM) using the AMOS software. The results confirmed that CSR directly relates to IEB and workplace autonomy mediates this relationship. The study also discusses the implications of this survey for theory and practice.

Open Access: Yes

DOI: 10.3390/su13116104

An efficient evolutionary metaheuristic for the traveling repairman (Minimum latency) problem

Peter Foldesi Boldizsar Tuu-Szabo Laszlo T. Koczy

Publication Name: International Journal of Computational Intelligence Systems

Publication Date: 2020-01-01

Volume: 13

Issue: 1

Page Range: 781-793

Description:

In this paper we revisit the memetic evolutionary family of metaheuristics, called Discrete Bacterial Memetic Evolutionary Algorithm (DBMEA), whose members combine Furuhashi’s Bacterial Evolutionary Algorithm and various discrete local search techniques. These algorithms have proven to be efficient approaches for the solution of NP-hard discrete optimization problems such as the Traveling Salesman Problem (TSP) with Time Windows. This paper presents our results in solving the Traveling Repairman Problem (also called Minimum Latency Problem) with a DBMEA variant. The results are compared with state-of-the-art heuristics found in the literature. The DBMEA in most cases turned out to be faster than all other methods, and for the bigger benchmark instances it was also found to have better solutions than the former best-known results. Based on these test results we claim to have found the best approach and thus we suggest the use of the DBMEA for the Traveling Repairman Problem, especially for large instances.

Open Access: Yes

DOI: 10.2991/ijcis.d.200529.001

Contribution to the taxonomy of the West-African Rotundabaloghiidae (Acari: Uropodina)

Sergey G. Ermilov Jenő Kontschán

Publication Name: Acarologia

Publication Date: 2025-01-01

Volume: 65

Issue: 2

Page Range: 306-312

Description:

The second representative of the family Rotundabaloghiidae (Rotundabaloghia (Cir-cobaloghia) togoensis n. sp.) of Togo is discovered and described. It differs from the congeners based on the pilose v6, v7 and v8 setae, the apically peaked female genital shield, oval pits on dorsal and ventral idiosoma and the R-shaped peritremes. The list and an identification key to the West African rotundabaloghid mites is presented.

Open Access: Yes

DOI: 10.24349/5e51-9ewd

THREE NEW SPECIES OF ORIBATID MITES OF THE SUPERFAMILY ORIPODOIDEA (ACARI, ORIBATIDA) FROM VIETNAM

Sergey G. Ermilov Jenő Kontschán V. M. Salavatulin

Publication Name: Zoologicheskii Zhurnal

Publication Date: 2024-01-01

Volume: 103

Issue: 2

Page Range: 3-13

Description:

Three new species of oribatid mites (Oribatida) of the superfamily Oripodoidea – Phauloppia differens sp. n. (Oribatulidae), Oripoda operta sp. n. (Oripodidae) and Pirnodus concavus sp. n. (Oripodidae) – are described, based on adults collected from the bark and tree branches of Dipterocarpus alatus and Haldina cordifolia in southern Vietnam.

Open Access: Yes

DOI: 10.31857/S0044513424020011

A rapid and efficient DNA isolation method for qPCR-based detection of pathogenic and spoilage bacteria in milk

Balázs Ásványi K. Szenthe István Gyurján Barbara Bánkuti Bettina Pancza Zsófia Sipos-Kozma Miklós Szathmáry Zoltán Tudós F. Bánáti Susan Szathmary László Stipkovits László Varga

Publication Name: Food Control

Publication Date: 2021-12-01

Volume: 130

Issue: Unknown

Page Range: Unknown

Description:

The objective of this study was to find an efficient, rapid, simple, and cost-effective method of pretreating raw milk samples to produce PCR-ready DNA for subsequent microbial detection using the strains of eight bacterial species. A total of 17 in-house protocols and three commercial kits were evaluated in three steps from scientific, practical, and economic perspectives. The results showed that an in-house procedure involving Triton X-100-based pretreatment and an inhibitor removal resin was superior to all other methods tested in terms of DNA yield, sensitivity, ease of sample handling, time efficiency, and cost per sample. Overall, this simplified preanalytical protocol was shown to have a great potential for use in rapid detection of dairy-related bacterial species, thereby enabling early intervention in the food chain and thus reducing the risk of negative economic and health outcomes.

Open Access: Yes

DOI: 10.1016/j.foodcont.2021.108236

Operation and applicability issues of powertrain models in electric vehicle development

I. Lakatos Péter Korös Viktor Nagy

Publication Name: Mesa 2014 10th IEEE ASME International Conference on Mechatronic and Embedded Systems and Applications Conference Proceedings

Publication Date: 2014-10-24

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

The paper deals with researches started several years ago at the Department of Road and Rail Vehicles and Research Center of Vehicle Industry, Széchenyi István University. Simulation of electric driven vehicles and utilization of results are in focus.

Open Access: Yes

DOI: 10.1109/MESA.2014.6935610

Control-Oriented Model for Energy-Efficient Electric Vehicle

Tamás Luspay Zoltan Pusztai Ferenc Friedler

Publication Name: Proceedings of the International Symposium on Applied Machine Intelligence and Informatics Sami

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 299-304

Description:

In this paper, a control-oriented Linear Parameter Varying (LPV) model of an energy efficient electric vehicle is proposed, designed for model-based control to minimize energy consumption. The control inputs of the model include the torque reference and the actual cornering radius. The LPV model assesses the impact of cornering on driving resistances and, consequently, on energy consumption, which represents a novel approach. Due to the driving characteristics and the model nonlinear dynamics of the vehicle, a velocity-linearization based method was applied to obtain the parameter-dependent form. The obtained LPV model was then validated by using logged driving data, showing a root mean square error (RMSE) of 0.4682 m/s compared to the measured speed profile, thereby confirming the model's accuracy. The proposed LPV model can be utilized to develop energy-efficient driving strategies, making it highly relevant for the design and operation of energy-efficient vehicles.

Open Access: Yes

DOI: 10.1109/SAMI63904.2025.10883184

Evaluation of Mobile Applications for Small Farms Using Fuzzy Methods

Dragan Pamucar Darko Božanić Adis Puška Miroslav Nedeljković Anđelka Štilić

Publication Name: International Journal of Research in Industrial Engineering

Publication Date: 2025-09-01

Volume: 14

Issue: 3

Page Range: 426-444

Description:

This paper offers a practical model to help farmers choose the most suitable mobile application for their specific needs, improving decision-making processes in adopting agricultural technology. Given the wide range of applications available on the market, the need to select the one that best improves agricultural production motivated the research in this paper. To simplify the decision-making process for farmers, a methodology that applied the fuzzy approach was developed. Based on this, this research aimed to evaluate and identify mobile applications most suitable for the Farmino farm using a Multi-Criteria Decision-Making (MCDM) approach. A decision-making model that includes ten criteria and several mobile applications was applied. Farm employees, who are the intended users of these applications, evaluated the criteria and applications using linguistic terms. The methods of fuzzy Simple Weight Calculation (SiWeC) and fuzzy Logarithmic Percentage Change-Driven Objective Weighting (LOPCOW) were used to determine the weight of the criteria. These methods revealed that the criterion "Data accuracy" was more important than the others, while the importance of the other criteria was less. Finally, the fuzzy method Multi-Attributive Border Approximation Area Comparison (MABAC) was used to rank mobile applications, and the results showed that the A4 mobile application ranked highest, making it the best choice for Farmino farm.

Open Access: Yes

DOI: 10.22105/riej.2025.491961.1503

Noise assisted high performance linear inductive distance sensor

Zoltán Pólik Zoltán Kántor

Publication Name: Przeglad Elektrotechniczny

Publication Date: 2014-12-01

Volume: 2014

Issue: 12

Page Range: 123-126

Description:

A temperature compensated linear inductive distance sensor assisted by added noise is demonstrated. The mixed signal processing algorithm performs an effective interpolation over a low-resolution two-dimensional calibration table addressed directly by the digitized noise-affected signals of distance and temperature sensing modules without further arithmetic operations. The table entries are directly passed to the output digital-to-analog converter. The output noise will be cancelled by the intrinsic low-pass behavior of the power output stage. The operation distance, the linearity parameters, as well as the performance of the sensor exceed the standard of the respective industrial products.

Open Access: Yes

DOI: 10.12915/pe.2014.12.29