bluuebunny/crossref_metadata_2025_split huggingface dataset:
Determination of
KS0
fragmentation functions including BESIII measurements and using neural networks
Authors: Soleymaninia Maryam , Hashamipour Hadi , Salajegheh Maral , Khanpour Hamzeh , Spiesberger Hubert , Meißner Ulf-G. 
Published: July 2024

In this study, we revisit the extraction of parton-to-KS0 hadron fragmentation functions, named FF24-KS0, focusing on both next-to-leading-order and next-to-next-to-leading-order accuracy in perturbative QCD. Our approach involves the analysis of single inclusive electron-positron annihilation (SIA) data. The two key improvements are, on the one hand, the incorporation of the latest experimental data from the BESIII experiment and, on the other hand, the adoption of neural networks in the fitting procedure. To address experimental uncertainties, the Monte Carlo method is employed. Our investigation also explores the impact of hadron mass corrections on the description of SIA data, spanning a broad kinematic regime with a particular emphasis on the range of small z values. The theory prediction for KS0 production at both NLO and NNLO accuracy exhibits good agreement with experimental data within their respective uncertainties.

Published by the American Physical Society
2024
Image-Current Mediated Sympathetic Laser Cooling of a Single Proton in a Penning Trap Down to 170 mK Axial Temperature
Authors: Will C. , Wiesinger M. , Micke P. , Yildiz H. , Driscoll T. , Kommu S. , Abbass F. , Arndt B. P. , Bauer B. B. , Erlewein S. , Fleck M. , Jäger J. I. , Latacz B. M. , Mooser A. , Schweitzer D. , Umbrazunas G. , Wursten E. , Blaum K. , Devlin J. A. , Ospelkaus C. , Quint W. , Soter A. , Walz J. , Smorra C. , Ulmer S. ,   BASE Collaboration
Published: July 2024

We demonstrate a new temperature record for image-current mediated sympathetic cooling of a single proton in a cryogenic Penning trap by laser-cooled Be+9. An axial mode temperature of 170 mK is reached, which is a 15-fold improvement compared to the previous best value. Our cooling technique is applicable to any charged particle, so that the measurements presented here constitute a milestone toward the next generation of high-precision Penning-trap measurements with exotic particles.

Published by the American Physical Society
2024
What else? Immigrant–native cohorts entering the labour market under a context of adverse shocks: the great recession and COVID-19
Authors: Escalonilla Marta , Cueto Begoña , Perez-Villadoniga Maria Jose 
Published: July 2024

Purpose
This paper aims to analyse the short- and long-term effects of entering the Spanish labour market under tough economic conditions on young immigrant–native earnings and employment outcomes.

Design/methodology/approach
The authors use cohorts, where the entry cohort into the labour market is the unit of observation. As a database, the authors use the continuous sample of working histories covering the period 2007–2021. Then, the authors estimate the model using weighted least squares.

Findings
The results show that the great recession and COVID-19 led to a blockage at the entrance of the labour market, reducing the number of workers. Additionally, the authors observe an adverse impact in terms of employment and earnings on those entering the labour market. Besides, this effect varies in intensity and persistence for natives and immigrants, as well as by country of birth, age of entry, gender and educational level.

Originality/value
A contribution to the literature is the analysis of the earnings and employment trajectories of young people entering the Spanish labour market for the first time during an adverse shock, such as the 2008 economic crisis or the COVID-19 crisis, and the possible differences that exist between native and immigrant workers. So, the authors analyse the labour market trajectories of workers covering the most recent years. Likewise, the authors carry out an extensive heterogeneity analysis in which they distinguish workers by educational level, gender, age of entry into the labour market and immigrants by their country of birth. This represents an additional contribution. The use of a cohort approach also contributes to the existing literature.
Digital consumerism in times of crisis: exploring the shift in online shopping behaviour
Authors: Akar Ezgi 
Published: July 2024

PurposeThis research delves into consumer online shopping behaviour during the different phases of the COVID-19 pandemic, utilising the Theory of Planned Behaviour and the Behavioural Inhibition System.Design/methodology/approachA unique and comprehensive repeated cross-sectional methodology was meticulously employed, capturing the nuances of consumer online shopping behaviour across three distinct phases of the pandemic: the initial phase following the outbreak of COVID-19, the transition phase marked by the relaxation of restrictions, and the adaptation phase as society moved towards a new normal. The study involved a sample of 1,155 participants. Structural equation modelling was used to analyse the effects of behavioural attitudes, subjective norms, perceived behavioural control, and the moderating role of pandemic-induced consumer anxiety on online purchase intention.FindingsThe impact of behavioural attitudes on online purchase intentions increased continuously from the initial phase to the adaptation phase. In contrast, the influence of subjective norms on online shopping intentions gradually declined over the same period. During the early stages of the pandemic, consumer anxiety amplified the influence of personal attitudes towards online shopping while diminishing the impact of social pressures on the same behaviour.Originality/valueThis study’s originality lies in its nuanced analysis of how online purchase intentions evolved across different stages of the COVID-19 pandemic, integrating insights from both the Theory of Planned Behaviour and the Behavioural Inhibition System. The study offers a comprehensive understanding of the shifts in consumer behaviour over time. It enables more strategic and proactive marketing tactics in a changing environment.
Does the quality grading system matter? Chinese consumer response to pork quality grading labels and the impact of information
Authors: Shen Qinyuan , Gao Zhifeng , Zhu Zhanguo 
Published: July 2024

PurposeA meat quality grading system is essential to meet consumers' increasingly diversified demand for food quality in the global market. This study aims to determine the effectiveness of the upcoming Chinese quality grading labels and examine the information effect of labeling standards on pork consumption choices.Design/methodology/approachUsing an online survey with choice experiments, this study estimates consumer valuation for the fat thickness of different pork primal cuts by simulating three scenarios. Generalized mixed logit models in WTP space are used to analyze the choice experiment data.FindingsChinese consumers prefer lean pork to fatty pork and this preference does not vary significantly between primal cuts. Consumer valuation for ungraded high-quality (lean) pork increases after the implementation of the quality grading. Meanwhile, they are willing to pay high premiums for labeled pork (including level 1, 2, 3), and there are higher premiums for pork with higher levels. Besides, incomplete information on labeling standards could achieve more premiums for pork than relatively complete information.Originality/valueThis study pays attention to essential but few-noticed pork quality grading. The findings provide references for pork industry practices and policy-making of the meat quality grading system in China and globally by examining incomplete and relatively complete information effects on consumer choices.
Who do you choose? Employees' perceptions of artificial intelligence versus humans in performance feedback
Authors: Biswas Mohammad Islam , Talukder Md. Shamim , Khan Atikur Rahman 
Published: July 2024

PurposeFirms have already begun integrating artificial intelligence (AI) as a replacement for conventional performance management systems owing to its technological superiority. This transition has sparked a growing interest in determining how employees perceive and respond to performance feedback provided by AI as opposed to human supervisors.Design/methodology/approachA 2 x 2 between-subject experimental design was employed that was manipulated into four experimental conditions: AI algorithms, AI data, highly experienced human supervisors and low-experience human supervisor conditions. A one-way ANOVA and Welch t-test were used to analyze data.FindingsOur findings revealed that with a predefined fixed formula employed for performance feedback, employees exhibited higher levels of trust in AI algorithms, had greater performance expectations and showed stronger intentions to seek performance feedback from AI algorithms than highly experienced human supervisors. Conversely, when performance feedback was provided by human supervisors, even those with less experience, in a discretionary manner, employees' perceptions were higher compared to similar feedback provided by AI data. Moreover, additional analysis findings indicated that combined AI-human performance feedback led to higher levels of employees' perceptions compared to performance feedback solely by AI or humans.Practical implicationsThe findings of our study advocate the incorporation of AI in performance management systems and the implementation of AI-human combined feedback approaches as a potential strategy to alleviate the negative perception of employees, thereby increasing firms' return on AI investment.Originality/valueOur study represents one of the initial endeavors exploring the integration of AI in performance management systems and AI-human collaboration in providing performance feedback to employees.
Co-creating inclusion in research practices in the South Pacific: some highlights and challenges
Authors: Ofe-Grant Maulupeivao Betty , Elikana Miura , SauLilo Losi , Vimahi Lillian , O'Brien Seipua , Joseph Evangeleen 
Published: July 2024

Purpose
Colonial epistemes distort ideologies through power structures and control, perpetuating differences and the development of an inferior status. This study aims to serve dual purposes: Firstly, the authors advocate for Pacific and international business (IB) researchers to consider adopting inclusive research practices, particularly regarding Pacific and indigenous populations. Secondly, the authors argue that decolonization presents conflicting challenges, demonstrating that the authors still have a long way to go regarding the decolonization agenda within academia, the university, IB and broader society.

Design/methodology/approach
An essay style is adopted to introduce inclusive Pacific research practices specific to the Pacific context, what that looks like and the advantages of using culturally appropriate methods.

Findings
This paper highlights some examples that justify why Pacific methods should be used, such as spirituality and prayers underpinned by the va (i.e. relational spaces) – a concept well-known in Pacific cultures but missing in Western academic frameworks, models and approaches. Additionally, the authors found that the endeavours to be inclusive can paradoxically lead to exclusion and marginalization within academia, the university and popular mainstream media.

Social implications
This paper enriches IB theory and pedagogy by advocating for the co-creation of inclusive research practices in collaboration with Pacific and indigenous communities. It contributes to the broader movement to restore indigenous knowledge and scholarship research spaces.

Originality/value
The originality and value of the viewpoint lie in its potential to stimulate conversations and reflections among IB researchers regarding inclusive research practices of decoloniality. Thereby strengthening the “trumpet-shell” call to decolonize the field and academia, which IB as a discipline should not be immune to.
Sustainable development goals and organizations: exploring the role of employee emotional capital
Authors: Gupta Parul , Bakhru Kanupriya Misra , Shankar Amit 
Published: July 2024

PurposeThis study aims to understand the association between employee emotional capital, organizational commitment and implementation of the targeted sustainable development goals (SDGs) by businesses. It explores how the various emotional competencies possessed by employees of an organization and accumulated in the form of a capital, can be utilized to ensure effective pursuit of SDG implementation by businesses.Design/methodology/approachThis study is based on extensive literature exploration to identify competencies crucial for SDG attainment by a business. The conceptual model built on the same is then tested by conducting a survey on working professionals. Subsequent statistical analysis is conducted to establish the relationship as defined in the theoretical model.FindingsThe results of our analysis indicate a relationship between organizational commitment and emotional capital of the employees. In line with our conceptual framework, the statistical analysis also corroborates to the idea that emotional capital can improve the SDG attainment by an organization by influencing the organizational commitment. This study also identifies the specific emotional competencies which can play an important role in this direction.Originality/valueThis study connects the dots to establish a micro-meso-macro framework which can facilitate active participation of individuals and the businesses in achieving the SDGs. This study presents strong managerial and academic implications by identifying specific intervention areas which can and be focused upon by managers and academicians to focus on SDG implementation.
Stuck in a moment you can't get out of: the psychological effects of expatriates' coping with a crisis situation
Authors: Koveshnikov Alexei , Lehtonen Miikka J. 
Published: July 2024

PurposeWe draw upon stress theory and utilize the context of the COVID-19 pandemic to investigate how various coping strategies employed by expatriates affect their psychological stress, subsequently influencing their expatriation satisfaction and intention to withdraw from the host country.Design/methodology/approachWe utilize structural equation modeling to analyze a sample of 453 expatriates residing and working in the United Arab Emirates during the COVID-19 pandemic.FindingsOur analysis shows that the effects of different coping strategies on expatriates vary. Depending on the nature of the strategy, they can have either positive or negative effects. While coping via problem-focused and denial strategies decreases expatriates' stress, coping by distancing increases it. Social support-seeking is not found to be an effective stress-coping strategy. In terms of implications, the problem-focused strategy leads to the most positive outcomes, whereas distancing leads to the most negative outcomes.Originality/valueOur study provides significant theoretical and practical insights into expatriates' coping mechanisms within the context of natural crises.
Efficiency evaluation of intellectual capital for value creation: a case study of the semiconductor industry in Taiwan
Authors: He Dong-Sing , Liu Te-Wei , Lin Yi-Ying 
Published: July 2024

PurposeThis study constructs an efficiency evaluation framework for assessing the human, structural and relational capital in the semiconductor industry of Taiwan. Furthermore, we analyze whether there are significant differences in efficiency across different levels concerning the industry supply chain (upstream, midstream and downstream), employee service tenure, capital scale and company establishment years.Design/methodology/approachThis study focuses on Taiwanese semiconductor companies, utilizing data sourced from the Taiwan Economic Journal (TEJ) Database for the period spanning 2017 to 2021, encompassing a total of five years. Due to the nondisclosure of intangible asset values by all companies, an effort was made to ensure a comparable baseline by excluding companies with incomplete or missing data. Finally, empirical analysis was conducted on a sample of 64 companies using the dynamic network data envelopment analysis method.Findings(1) Overall efficiency demonstrates structural capital as the most prominent, followed by relational capital, while human capital shows relatively poorer efficiency. (2) To enhance the efficiency of intellectual capital, priority should be given to improving the efficiency of outputs related to intellectual property rights such as patents. (3) The midstream segment exhibits the best efficiency in both structural and relational capital. (4) Companies with longer employee service tenures exhibit superior efficiency in human capital in the long run. (5) Companies with extended establishment years and larger capital scales demonstrate superior efficiency in both human and structural capital.Originality/valueReflecting on past literature, scholars have primarily focused on the relationship between intellectual capital and firm efficiency, often emphasizing the overall efficiency of intellectual capital. However, within organizations, human capital, structural capital, and relational capital are interrelated. This study, for the first time, assesses the efficiency of these three components within an organization. The research addresses the challenges in analyzing the efficiency of intellectual capital and introduces a highly contemporary approach – dynamic network data envelopment analysis (DNDEA). Using the semiconductor industry in Taiwan as a case study, this paper conducts empirical analysis in a captivating and worthy industry. Therefore, the ideas presented in this paper are original.
Technostress and disengagement from knowledge sharing: insights from pre-pandemic and mid-pandemic data sets
Authors: Mahapatra Monalisa , Ford Dianne P. 
Published: July 2024

Purpose
This study aims to examine a common failure in knowledge sharing, called disengagement from knowledge sharing (DKS), and investigates how technostress may contribute to this unintentional withholding of knowledge for knowledge workers. The authors apply the Job Demands-Resources (JD-R) model to explain the dual path of technostress creators and inhibitors on DKS via burnout and job engagement. The authors also examine how the pandemic and the changes in remote work and information and communication technology (ICT)-related stress may have impacted DKS.

Design/methodology/approach
Using a time-lag survey, two independent samples of knowledge workers who use information and communication technologies for their jobs were surveyed during early 2020 and mid-2021. Analyses were completed with partial least squares-structural equation modelling.

Findings
Technostress (via the JD-R model) explained DKS. Technostress creators were positively associated with burnout, which was in turn positively related to DKS. Technostress inhibitors were positively associated with job engagement, which in turn was also positively related to disengagement to knowledge sharing. Technostress inhibitors were negatively associated with burnout. Results from the multigroup analysis indicated that technostress inhibitors had a stronger relationship with engagement pre-pandemic than mid-pandemic.

Originality/value
This research addresses a more common source of knowledge sharing failures and illustrates how ICTs may impact this DKS via burnout and job engagement. In addition, this research captures a change in relationships associated with the pandemic.
Applying the anthropological theory of didactics to enhance a multicultural approach to statistics education for engineering students
Authors: Díaz Palencia José Luis 
Published: July 2024

Purpose
This work aims to introduce basic principles of the Anthropological Theory of Didactics applied to enhance the multicultural sensitivity in engineering statistics classroom. The approach emphasizes understanding learners’ socio-cultural backgrounds to tailor educational practices that resonate more effectively with engineering students.

Design/methodology/approach
This paper examines the application of the Anthropological Theory of Didactics within the context of statistics education for engineering students. This study aims to explore how integrating socio-cultural dimensions of learning can make teaching statistics more effective and engaging.

Findings
The application of the Anthropological Theory of Didactics reveals significant potential for enhancing the educational experience in statistics. By acknowledging and incorporating the diverse cultural perspectives of students, educators can develop teaching methods that are not only more inclusive but also more engaging. This methodology encourages a deeper connection between statistical concepts and engineering practices, aiding in the conceptualization of statistics among future engineers.

Originality/value
The paper contributes to the field by providing concrete activities and pedagogical strategies that use the Anthropological Theory of Didactics in a novel context. These activities are designed to foster a better integration of statistical education with engineering, highlighting the theory’s versatility and its relevance to modern educational challenges. This innovative approach promises to enhance how statistics is taught to engineering students, potentially leading to more profound educational outcomes and a stronger grasp of statistical applications in engineering.
Towards quality 4.0 in home appliances: definitions, deployment scenarios, and future perspectives
Authors: Talaie Hamidreza , Ziaeian Mehran , Malekinejad Pooria 
Published: July 2024

PurposeRecent research has garnered increasing attention to Quality 4.0, yet its implementation poses significant challenges across various industries. This study aims to identify and analyze the factors influencing Quality 4.0 implementation, considering their types and interactions. It offers solutions to facilitate the adoption of Quality 4.0 within Iran’s home appliance industry.Design/methodology/approachThis research involved identifying the factors impacting Quality 4.0 implementation through a comprehensive review of relevant literature and the evolution of Quality 4.0. To evaluate the present status of these factors, data were gathered from the top ten manufacturing companies in Iran’s home appliance industry.FindingsThe study revealed that Perceived Saving Time emerged as the primary factor influencing changes in one of the backward scenarios of Perceived Saving Cost. Additionally, the research findings indicate that enhancements in the Vision and Strategy factor trigger a cascade effect across multiple factors, ultimately resulting in improvements in Knowledge and Awareness of Quality 4.0.Originality/valueThis research’s outcomes offer valuable insights for implementing Quality 4.0 and provide a novel perspective for researchers engaged in quality management.