16168 research outputs found
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From empathy to value: user-generated content inferred emotional intelligence in the context of second-hand clothing purchases online /
No full textThe paper investigates how emotional intelligence relates to perceived consumer value in the context of purchasing second-hand clothing online. The study uses a dataset (477 randomly selected from 125,145 web scraped with Playwright) of user-generated online reviews about second-hand clothing transactions. The study utilises the Trait Activation Theory to propose novel explanations by examining the nuanced relationship between emotional intelligence and perceived consumer value when purchasing second-hand clothing online. The study’s findings indicate that emotional intelligence-embedded online reviews have more pronounced second-hand clothing emotional, green, social, functional, and economic value perceptions. By examining empathy-driven interactions and situational cues, our research highlights the impact of emotional intelligence on the perceived value of second-hand clothing transactions online, contributing to consumer psychology literature and the growth of ethical fashion in the e-commerce context
Temperature stability and compensation of AMR sensors in practical applications /
No full textMagnetic field sensors are widely used in smart electronic systems for transportation, structural health monitoring, current sensing, geomagnetic navigation, and other applications. Among various sensor types, anisotropic magnetoresistance (AMR) sensors are often selected for their compact size, high sensitivity, and low cost. However, their performance is significantly affected by temperature-induced drift in magnetic field measurements. This study evaluates the temperature stability of three AMR sensors − LSM303AGR, LIS3MDL, QMC5883L − and a fluxgate sensor, DRV425. Results show that LSM303AGR demonstrates the best temperature stability in magnetic fields under 100 μT, with an average drift of 24.8 nT/K, and a sensitivity drift of −488 ppm/K, while LIS3MDL is suitable for measuring stronger fields due to its linear temperature characteristic despite a higher drift of 152.9 nT/K. Sensor measurement drift amounts to 12 % to 76 % of magnetic field threshold over a 50 °C range in practical reference application (10 μT), but algorithmic compensation using application-specific or diverse datasets can reduce drift to as low as 4.9–7.9 % of the reference threshold in fields under 100 μT. These findings highlight the importance of tailored compensation strategies when using AMR sensors for reliable long-term magnetic field monitoring
From industry 4.0 digital manufacturing to industry 5.0 digital society: a roadmap toward human-centric, sustainable, and resilient production /
No full textThe present study addresses two critical controversies surrounding the emerging Industry 5.0 agenda. Firstly, it seeks to elucidate the driving forces behind the accelerated momentum of the Industry 5.0 agenda amidst the ongoing digital industrial transformation. Secondly, it explores how the agenda’s sustainability values can be effectively realised. The study conducted a comprehensive content-centric literature synthesis and identified how Industry 4.0 shortcomings adversely impacted sustainability values. Furthermore, the study implements a novel approach that determines how and in what order the sustainability functions of Industry 4.0 should be leveraged to promote the sustainability objectives of Industry 5.0. Results reveal that Industry 4.0 has benefited economic and environmental sustainability values most at the organisational and supply chain levels. Nonetheless, most micro and meso-social sustainability values have been adversely impacted by Industry 4.0. Similarly, Industry 4.0 has been worryingly detrimental to macro sustainability values like social or economic growth equality. These contradictory implications of Industry 4.0 have pulled the Industry 5.0 agenda. However, the results identified nine sustainability functions of Industry 4.0 that, when leveraged appropriately and in the correct order, can offer important implications for realising the economic and socio-environmental goals of Industry 5.0. For example, under extreme unpredictability of business world uncertainties, the business should first leverage the automation and integration capabilities of Industry 4.0 to gain the necessary cost-saving, resource efficiency, risk management capability, and business antifragility that allow them to introduce sustainable innovation into their business model without jeopardising their survival. Various scenarios for empowering Industry 5.0 sustainability values identified in the present study offer important implications for knowledge and practice
A narrative enquiry about expatriates’ situated moral agency in confronting ethical problems /
No full textExpatriates may have to confront ethical problems during their international assignments that are difficult to resolve. By conducting a narrative enquiry concerning expatriates’ lived experiences, this study reveals the actions they understand as morally right in situations that raise ethical problems during their international assignments and how they justify those actions. We drew research data from 20 interviews with Finnish expatriates who worked in China or the United States (US). Relying on basic tenets of moral agency theory, we conducted a narrative analysis of the data to theorize the expatriates’ actions and identified three forms of moral agency: “instructed moral agency”, “business-based moral agency” and “stagnant moral agency”. The expatriates’ narrative construction of moral agency proved to be a dynamic process influenced by both rational and emotional considerations—they are not only contingent on their specific situatedness but also ambiguous, contradictory, and, at times, strategic. We propose that situated moral agency is a useful concept for theoretically and empirically examining expatriates’ moral actions in the future
Simulation of the microalgae-enriched nitrogen fertilizer granulation mechanism using the DEM method /
No full textThe use of granular fertilizers offers significant advantages over traditional powder forms, including improved nutrient distribution, reduced dust, and controlled nutrient release. These benefits enhance plant growth while minimizing negative environmental impacts. The addition of reused materials (recycle) significantly influences the size distribution and strength of granular fertilizers. It was determined that incorporating 60% recycle increases the part of commercial granules (size 2.0–4.0 mm) from 22% to about 68%. However, this increase is accompanied by a decrease in static strength, which drops from 2.8–3.8 MPa to 1.7–2.3 MPa. Modelling granulation processes holds substantial potential for the fertilizer industry, enabling the optimization of high-quality granular fertilizer production while minimizing the need for extensive experimental trials. This approach not only streamlines manufacturing but also ensures consistent nutrient supply, ultimately contributing to improved crop yields and sustainable agricultural practices. In this study, a simulation model based on an actual granulation drum was used to investigate the granulation process of a mixture containing recycled material, crystalline urea, and the microalgae Chlorella vulgaris sp. The granulation simulation data showed that granule formation began within 30 seconds and that the desired quantity of the mixture was produced in just 30 seconds. Throughout the process, the segregation coefficient remained near zero, indicating effective granule formation and distribution
Painting belonging: community murals as tools for social cohesion in Kaunas /
No full textThis article explores the role of participatory mural art as a catalyst for community development, symbolic dialogue, and place-based identity formation in Kaunas, Lithuania. Drawing on community mural projects across distinct urban neighborhoods, the study employs a multimethod qualitative design that combines ethnographic fieldwork, semistructured interviews, participatory observation, and multimodal semiotic analysis. Using MAXQDA for thematic coding, the analysis reveals how co-created murals foster social capital, intergenerational exchange, and spatial transformation by enabling residents to inscribe their stories, memories, and values into the built environment. The findings show that murals serve as more than aesthetic interventions; they operate as sites of community empowerment and symbolic negotiation. Through acts of storytelling, shared labor, and creative dialogue, community members re-signify urban space and articulate belonging in ways that are emotionally resonant and locally grounded. Cases highlight how symbolic choices reflect both cohesion and contestation, while illustrating how visual representation of daily life can reinforce place attachment and visibility. The article contributes to the fields of community development and urban communication by proposing an integrated framework that synthesizes social capital theory, place attachment, participatory design, and multimodal semiotics. It argues for recognizing community-engaged mural art as a form of visual citizenship and participatory infrastructure with the power to reshape relationships, activate dialogue, and strengthen the social fabric of neighborhoods in transition
Gender and age-related decline in lower limb standing muscle strength: benchmarking for rehabilitation assessment /
No full textThis study aimed to demonstrate a novel sensor-based measuring stand for objective assessment of multi-directional lower limb muscle strength and to establish essential, age- and gender-stratified normative benchmarks. This cross-sectional study measured relative leg strength (N/kg) across six standing movements in 99 healthy, non-professional athletes (males and females aged 20–30, 40–50, and 60–70 years). Results confirmed that men exhibited significantly greater strength than women across all six directions (17% to 35% difference). Furthermore, a marked age-related decline was consistently observed in both sexes, with the largest and most clinically relevant differences (often exceeding 30%) concentrated in the transition to the 60–70-year range. Methodologically, these findings are limited to demonstrating age-related differences rather than longitudinal decline and are specific to an active, healthy cohort. This study demonstrates the sensor-based stand as an efficient, objective tool for comprehensive strength assessment, but its clinical utility is prospective and requires further validation against diverse and pathological patient populations
Impact of fiscal policies on unemployment in economic shock conditions: panel data analysis /
No full textThis paper examines the impact of fiscal policy responses on unemployment across EU countries from 2019 to 2024, a period marked by the COVID-19 pandemic as a shock event. A detailed monthly panel data set is used in this study, employing a fixed-effects estimation model with government spending, revenue, and debt as core variables, along with the COVID-19 dummy as a control variable. The findings reveal a strong association between government spending and revenue in reducing unemployment, aligned with countercyclical fiscal policy support. Conversely, increasing government debt is strongly linked to higher unemployment, indicating a risk of excessive borrowing that could hinder future labor market recovery. Moreover, uncertain external economic conditions, such as the COVID-19 pandemic, have further intensified labor market distortions. Finally, the results highlight that fiscal policies can effectively mitigate unemployment in the short term; however, excessive debt may pose challenges to long-term fiscal sustainability. This study underscores the importance of well-structured and timely coordinated fiscal policy frameworks that promote employment stabilization, while ensuring long-term debt sustainability
A simulated annealing and variable neighborhood search hybrid for sequencing interrelated activities /
No full textDetermining an appropriate sequence of interrelated activities is one of the keys to developing a complex product. One of the approaches used to sequence activities consists of solving the feedback length minimization problem (FLMP). Several metaheuristic algorithms for this problem have been reported in the literature. However, they suffer from high computational costs when dealing with large-scale problem instances. To address this research gap, we propose a fast hybrid heuristic for the FLMP, which integrates the simulated annealing (SA) technique with the variable neighborhood search (VNS) method. The local search component of VNS relies on a fast insertion neighborhood exploration procedure performing only O(1) operations per move. Using rigorous statistical tests, we show that the SA-VNS hybrid is superior to both SA and VNS applied individually. We experimentally compare SA-VNS against the insertion-based simulated annealing (ISA) heuristic, which is the state-of-the-art algorithm for the FLMP. The results demonstrate the clear superiority of SA-VNS over ISA. The SA-VNS hybrid technique produces equally good or better results across all tested problem instances. In particular, SA-VNS is able to find better solutions than ISA on all instances of size 150 or more. Moreover, SA-VNS requires two orders of magnitude less CPU time than the ISA algorithm. Thus, SA-VNS achieves excellent performance regarding solution quality and running time
The impact of employees’ technology readiness and moral attentiveness on organizational decisions.
No full textThe aim of this study is to determine the impact of employees’ technological readiness and moral attentiveness on decision-making in organizations. In contemporary organizations, the use of technologies is associated not only with operational efficiency but also with ethical challenges; therefore, employees’ ability to make morally grounded decisions becomes particularly important. The thesis is based on the assumption that employees’ technological readiness, encompassing technological knowledge, skills, and attitudes toward technology, together with moral attentiveness, has a significant impact on decision-making within organizations