bluuebunny/crossref_metadata_2025 huggingface dataset:
Immersive Virtual Reality Training and Surgical Skill: A Systematic Review & Recommendations for Future Research
Authors: Gilliland Ami , Gaughan Erin , Meek Hannah , Biyani Chandra Shekhar , Ijaz Faheem , Gabriel George , Mathew Ryan , Mushtaq Faisal
Published: June 2024

Objectives

In recent years, consumer-grade immersive virtual reality (iVR) systems have gained increasing attention for their potential applications in surgical training. The relatively low cost and increasing quality of these systems make them an appealing alternative to specialist surgical simulators, but their efficacy in comparison to traditional training techniques remains unclear. In this paper, we systematically review the recent literature comparing the impact of iVR-based and other training techniques on surgical proficiency.

Method

Five databases (Ovid MEDLINE, PsycINFO, EMBASE, Cochrane Library, Web of Science) were searched from 2016 to November 2023. 19 randomised controlled trials (totalling 593 participants) were identified as meeting the inclusion criteria for this review, involving trainee surgical participants being trained using iVR devices.

Results

Data from the 19 articles showed that iVR training was at least as effective as other simulation-based methods and more effective than conventional methods at improving key measures of surgical proficiency, including error rate, accuracy, and procedure-specific knowledge, with a short duration (20 minutes to 2 hours) being optimal. While these results demonstrate the potential of iVR-based training technologies to support effective and low-cost surgical skill training, the heterogeneity of the training tools and analysis methods used in the identified studies limits mechanistic explanations of the systems’ efficacy.

Conclusions

To support more robust and generalisable research into iVR surgical skill training, we make recommendations for the design and reporting of future intervention studies in this area. This notably involves the standardisation of an iVR definition, improvements to studies including consideration of personal experiences, and considering the long-term impacts of these interventions.
Size-based expectation maximization for characterizing nucleosome positions and subtypes
Authors: Yang Jianyu , Yen Kuangyu , Mahony Shaun
Published: June 2024

Genome-wide nucleosome profiles are predominantly characterized using MNase-seq, which involves extensive MNase digestion and size selection to enrich for mononucleosome-sized fragments. Most available MNase-seq analysis packages assume that nucleosomes uniformly protect 147 bp DNA fragments. However, some nucleosomes with atypical histone or chemical compositions protect shorter lengths of DNA. The rigid assumptions imposed by current nucleosome analysis packages potentially prevent investigators from understanding the regulatory roles played by atypical nucleosomes. To enable the characterization of different nucleosome types from MNase-seq data, we introduce the size-based expectation maximization (SEM) nucleosome-calling package. SEM employs a hierarchical Gaussian mixture model to estimate nucleosome positions and subtypes. Nucleosome subtypes are automatically identified based on the distribution of protected DNA fragments. Benchmark analysis indicates that SEM is on par with existing packages in terms of standard nucleosome-calling accuracy metrics, while uniquely providing the ability to characterize nucleosome subtype identities. Applying SEM to a low-dose MNase-H2B-ChIP-seq data set from mouse embryonic stem cells, we identified three nucleosome types: short-fragment nucleosomes, canonical nucleosomes, and di-nucleosomes. Short-fragment nucleosomes can be divided further into two subtypes based on their chromatin accessibility. Short-fragment nucleosomes in accessible regions exhibit high MNase sensitivity and are enriched at transcription start sites (TSSs) and CTCF peaks, similar to previously reported “fragile nucleosomes.” These SEM-defined accessible short-fragment nucleosomes are found not just in promoters but also in distal regulatory regions. Additional analyses reveal their colocalization with the chromatin remodelers CHD6, CHD8, and EP400. In summary, SEM provides an effective platform for exploration of nonstandard nucleosome subtypes.
Heavy neutral leptons from kaons in effective field theory
Authors: Beltrán Rebeca , Günther Julian , Hirsch Martin , Titov Arsenii , Wang Zeren Simon
Published: June 2024

In the framework of the low-energy effective theory containing, in addition to the Standard-Model fields, heavy neutral leptons (HNLs), we compute the decay rates of neutral and charged kaons into HNLs. We consider both lepton-number-conserving and lepton-number-violating four-fermion operators, taking into account also the contribution of active-heavy neutrino mixing. Assuming that the produced HNLs are long-lived, we perform simulations and calculate the sensitivities of future long-lived-particle (LLP) detectors at the high-luminosity LHC as well as the near detector of the Deep Underground Neutrino Experiment (DUNE-ND) to the considered scenario. When applicable, we also recast the existing bounds on the minimal mixing case obtained by NA62, T2K, and PS191. Our findings show that, while the future LHC LLP detectors can probe currently allowed parameter space only in certain benchmark scenarios, DUNE-ND should be sensitive to parameter space beyond the current bounds in almost all the benchmark scenarios, and, for some of the effective operators considered, it can even probe new-physics scales in excess of 3000 TeV.

Published by the American Physical Society
2024
Stochastic inflation in general relativity
Authors: Launay Yoann L. , Rigopoulos Gerasimos I. , Shellard E. Paul S.
Published: June 2024

We provide a formulation of stochastic inflation in full general relativity that goes beyond the slow-roll and separate universe approximations. We show how gauge-invariant Langevin source terms can be obtained for the complete set of Einstein equations in their Arnowitt-Deser-Misner formulation by providing a recipe for coarse-graining the spacetime in any small gauge. These stochastic source terms are defined in terms of the only dynamical scalar degree of freedom in single-field inflation and all depend simply on the first two time derivatives of the coarse-graining window function, on the gauge-invariant mode functions that satisfy the Mukhanov-Sasaki evolution equation, and on the slow-roll parameters. It is shown that this reasoning can also be applied to include gravitons as stochastic sources, thus enabling the study of all relevant degrees of freedom of general relativity for inflation. We validate the efficacy of these Langevin dynamics directly using an example in uniform field gauge, obtaining the stochastic e-fold number in the long wavelength limit without the need for a first-passage-time analysis. As well as investigating the most commonly used gauges in cosmological perturbation theory, we also derive stochastic source terms for the coarse-grained Baumgarte-Shapiro-Shibata-Nakamura formulation of Einstein’s equations, which enables a well-posed implementation for 3+1 numerical relativity simulations.

Published by the American Physical Society
2024
Conservative Binary Dynamics at Order
α5
in Electrodynamics
Authors: Bern Zvi , Herrmann Enrico , Roiban Radu , Ruf Michael S. , Smirnov Alexander V. , Smirnov Vladimir A. , Zeng Mao
Published: June 2024

We compute the potential-photon contributions to the classical relativistic scattering angle of two charged nonspinning bodies in electrodynamics through fifth order in the coupling. We use the scattering amplitudes framework, effective field theory, and multiloop integration techniques based on integration by parts and differential equations. At fifth order, the result is expressed in terms of cyclotomic polylogarithms. Our calculation demonstrates the feasibility of the corresponding calculations in general relativity, including the evaluation of the encountered four-loop integrals.

Published by the American Physical Society
2024
Lieb-Robinson correlation function for the quantum transverse-field Ising model
Authors: Mahoney Brendan J. , Lent Craig S.
Published: June 2024

The Lieb-Robinson correlation function is the norm of a commutator between local operators acting on separate subsystems at different times. This provides a useful state-independent measure for characterizing the specifically quantum interaction between spatially separated qubits. The finite propagation velocity for this correlator defines a “light cone” of quantum influence. We calculate the Lieb-Robinson correlation function for one-dimensional qubit arrays described by the transverse-field Ising model. Direct calculations of this correlation function have been limited by the exponential increase in the size of the state space with the number of qubits. We introduce a technique that avoids this barrier by transforming the calculation to a sum over Pauli walks which results in linear scaling with system size. We can then explore propagation in arrays of hundreds of qubits and observe the effects of the quantum phase transition in the system. We observe the emergence of two distinct velocities of propagation: a correlation front velocity, which is affected by the phase transition, and the Lieb-Robinson velocity which is not. The correlation front velocity is equal to the maximum group velocity of single quasiparticle excitations. The Lieb-Robinson velocity describes the extreme leading edge of correlations when the value of the correlation function itself is still very small. For the semi-infinite chain of qubits at the quantum critical point, we derive an analytical result for the correlation function.

Published by the American Physical Society
2024
Bias-preserving computation with the bit-flip code
Authors: Tsutsui Shoichiro , Kanno Keita
Published: June 2024

We explore the feasibility of fault-tolerant quantum computation using the bit-flip repetition code in a biased noise channel where only the bit-flip error can occur. While several logic gates can potentially produce phase-flip errors even in such a channel, we propose bias-preserving implementation of S, H, controlled-Z (CZ), and Rz gates. We demonstrate that our scheme improves the computational precision in several tasks such as the time evolution of quantum systems and variational quantum eigensolver.

Published by the American Physical Society
2024
Implications of risk-averse manufacturer on coordination of green supply chain with mixed carbon policies
Authors: Chen Shan , Fang Meiqi , Wang Linlin , Su Jiafu , Tuo Junbo
Published: June 2024

Purpose

This paper intends to address the decision-making and coordination of green supply chain (GSC) considering risk-averse manufacturers under mixed carbon policy.

Design/methodology/approach

This paper focuses on a GSC consisting of a manufacturer and a retailer, in which the manufacturer is risk-averse (R-A). This paper employs Stackelberg game theory and mean variance analysis to assess the pricing decision-making process under various scenarios. Furthermore, cost-sharing contracts are introduced to coordinate the GSC.

Findings

The research results suggest that the green level of the product and the profit of the GSC under a centralized scenario are higher than those under a decentralized scenario, while the retail price is lower. Under the decentralized scenario, the green level of product, wholesale price and manufacturer’s profit in the R-A scenario are lower than the values in the risk-neutrality scenario, while retailer's profit is higher. In addition, when a cost-sharing contract is utilized for coordination in the GSC, it can lead to Pareto improvement, regardless of whether the manufacturer makes risk-neutrality or R-A decisions.

Originality/value

This research provides a deeper understanding of GSC decision-making and coordination strategy under mixed carbon policy with consideration of R-A from a theoretical perspective and provides decision support for enterprises to choose strategies in practice.
Enhancing social enterprise coffee marketability through sensory packaging: consumer impressions, willingness to buy, and gender differences
Authors: Mabalay Adrian A.
Published: June 2024

Purpose

This study investigates how consumers perceive the packaging of Philippine coffee social enterprise products and how this impression affects their willingness to purchase based on sensory expectations, brand attitude, product quality perception, and price perception.

Design/methodology/approach

Following a positivist research philosophy, this study used empirical methods, surveying 263 coffee consumers. The coffee packaging prototypes varied across material and graphic designs. The data was analyzed statistically using the Friedman test and Spearman correlation.

Findings

It was found that packaging elements elicit an equal share of emotional responses. Graphics have a greater impact than materials. Females are more affected by visuals, while materials influence males more. Further, packaging design correlates positively and significantly with consumer impressions and willingness to buy.

Research limitations/implications

The sampling methodology limits generalizability. Future studies can use integrated models to analyze the effects of additional packaging variables like color and shape.

Practical implications

Coffee enterprises should focus on graphic rather than material elements. Paper packs with patterned graphics are most attractive to consumers. Targeted gender-sensitive packaging designs are needed. Standardized packaging can help build the Philippine coffee social enterprise industry and support small-scale farmer livelihoods. Environmentally sustainable materials should be prioritized.

Social implications

The findings contribute to the success and growth of small-scale farmers and social enterprises in the Philippines. These businesses can attract more consumers, increase their market share, and ultimately generate more significant social impact by implementing packaging design strategies that effectively communicate product quality, sustainability, and social value.

Originality/value

The study uniquely integrates diverse methods to provide holistic insights into jointly analyzing the effects of packaging materials and graphics. It proposes an expanded conceptual role of packaging in shaping product perceptions using the affective response framework and Kansei approach.
Older adults' lived experiences of thermal comfort in senior-friendly accommodations for healthy aging in humid tropics
Authors: Chee Shi Yin
Published: June 2024

Purpose

As climate change disproportionately affects vulnerable populations, ensuring thermal comfort for older adults is magnified in tropical senior living environments. This study explores the lived experiences of older adults' thermal comfort in senior living facilities in a tropical climate and how these experiences impact their overall well-being.

Design/methodology/approach

Employing Moustakas' transcendental phenomenology and the Modified Stevick-Colaizzi-Keen method, this study investigated older adults' thermal experiences through semi-structured interviews with 28 participants in six urban senior living facilities in Malaysia.

Findings

Four primary themes emerged: fabric and function; atmospheric conditions and living dynamics; thermal dynamics and environmental comfort; temperature tensions of stress, sound, and sensitivity. Our findings underscore the importance of considering the multisensory and multi-faceted nature of thermal comfort for older adults, considering sensory aspects, early life experiences, cultural practices, and personal preferences, particularly in tropical climates.

Originality/value

As one of the first to explore the thermal comfort of older adults in senior-friendly accommodations in a tropical climate, the findings provide a comprehensive understanding of older adults' diverse thermal comfort needs and offer practical recommendations for environments that support healthy aging. By integrating insights from hospitality, gerontology, and environmental studies, this research contributes to the promotion of public health and aligns with global objectives to improve the well-being of the aging population.
How and when negative workplace gossip influences service sabotage behavior? A study among hotel frontline employees in China
Authors: Zhang Yajun , Liu Yang , Zhang Junwei , Akhtar Muhammad Naseer , Wang Yongqi
Published: June 2024

Purpose

Drawing upon the conservation of resources (COR) theory, this study aims to examine whether ego depletion mediates the relationship between negative workplace gossip and employees’ service sabotage behavior and whether psychological resilience moderates the relationship between negative workplace gossip and service sabotage behavior through the mediator of ego depletion among hotel frontline employees and their colleagues.

Design/methodology/approach

A paired sample was collected at three-time points from employees and their colleagues working in hotels in Guizhou province, China. The PROCESS macro for SPSS was applied to examine the moderated mediation model.

Findings

The results showed that negative workplace gossip has a positive effect on employee service sabotage behavior, and that ego depletion mediates the relationship between negative workplace gossip and employee service sabotage behavior. Psychological resilience weakens the relationship between negative workplace gossip and ego depletion, as well as the indirect effect of negative workplace gossip on employee service sabotage behavior through ego depletion.

Originality/value

The present research provides a thorough understanding of when and how negative workplace gossip influences employee service sabotage behavior in the hospitality industry. The findings of this moderated mediation relationship expanded the boundary conditions of negative workplace gossip and employee service sabotage behavior.
How COVID-19 pandemic affected business excellence: case studies from Greek companies
Authors: Metaxas Ioannis N. , Koulouriotis Dimitrios E.
Published: June 2024

Purpose

This paper is the third part of a research effort that aims to identify how various crises affected basic business processes using Institut Européen d'Administration des Affaires (INSEAD’s) industrial excellence framework (IEF) in large organizations.

Design/methodology/approach

This research compares three data sets from the same four companies against quality management benchmarks, with a span of more than two decades: (1) data collected in 2005 operating under a financially thriving corporate environment; (2) data collected in 2015, operating under a strong financial crisis and (3) data collected in 2022, operating under the serious COVID-19 crisis.

Findings

The authors identify the characteristics that helped them navigate successfully through almost two crises in a row. These companies successfully navigated crises by applying assessment and continuous improvement processes, forging close relationships with their suppliers and training their people systematically.

Practical implications

The findings can be adopted by practitioners who wish to navigate their organizations during serious crises. Researchers and academics may also find this study interesting for managing quality during a pandemic.

Originality/value

There are not many studies that investigate how the pandemic influenced the quality management practices in organizations in Greece in sequential crises. This paper brings insights into the enduring advantages of adopting a quality framework.
The national rugby league and the Bundesliga: a study of brand hate
Authors: Beermann Simon , Hallmann Kirstin , Dickson Geoff , Naylor Michael E.
Published: June 2024

Purpose

This study examined brand hate within the context of the (German) Bundesliga and (Australian) National Rugby League (NRL). The study pursued two research questions: (1) What types of brand hate were expressed towards the Bundesliga and the NRL? (2) To what extent did hateful comments attract more likes than non-hateful comments?

Design/methodology/approach

Brand hate was studied in the context of competition restrictions in 2020 due to the Covid-19 pandemic. We analysed reader comments posted below online articles published in three German (119 articles and 8,975 comments) and three Australian online newspaper articles (116 articles and 4,858 reader comments). The data were analysed deductively.

Findings

Non-parametric tests found that all types of brand hate were expressed. Approximately 85% of the hateful comments were mild, or more specifically, cold (n = 445 or approximately 53%), or cool (n = 250 or approximately 30%), or hot (n = 20 or approximately 2%). Hateful comments attracted more likes than non-hateful comments.

Originality/value

This study advances our understanding of how negative brand perceptions underpin an extreme negative emotional reaction in the form of brand hate. The empirical evidence enables brand managers to better address disgusted, angry, or contemptuous consumers (or stakeholders) and consider whether the feeling is enduring, strong or weak, and linked to either aggressive or passive behaviours.
Artificial intelligent housekeeper based on consumer purchase decision: a case study of online E-commerce
Authors: Guo Yan , Tang Qichao , Wang Haoran , Jia Mengjing , Wang Wei
Published: June 2024

Purpose

The rise of artificial intelligence (AI) and machine learning has largely promoted the emergence of “autonomous decision-making” (ADM). This paper aims to establish a personalized artificial intelligent housekeeper (AIH) that knows more about our hobbies, habits, personality traits, and shopping needs than ourselves and can replace us to do some habitual purchasing behavior.

Design/methodology/approach

We propose an AI decision-making method based on machine learning algorithm, a novel framework for personalized customer preference and purchase. First, the method uses interactive big data to predict a potential consumer’s decision possibility. Then, the method mines the correlation between consumer decision possibility and various factors affecting consumer behavior. Finally, the machine learning algorithm is used to estimate the consumer’s purchase decision according to the comprehensive influencing factors data of the target consumer.

Findings

The experimental results show that the method can predict the regular consumption behavior of consumers in advance and make accurate decision-making behavior. It can find correlations from a large amount of data to help predict many simple purchase decisions in our life, and become our AIH.

Originality/value

This study introduces a new approach that not only has the auxiliary decision-making function but also has the decision-making function. These findings contribute to the research on automated decision-making process of AI and on human–technology interaction by investigating how data attributes consumer purchase decision to AI.
Nexus of essay writing and computer-assisted language learning (CALL) in English language classroom
Authors: Tariq Umbreen
Published: June 2024

Purpose

This study aims to explore computer-assisted language learning (CALL) activities to improve the English essay writing of Pakistani university students. It highlights the role of CALL in the language proficiency model cognitive academic language proficiency (CALP), which can enable second language learners to engage in more critical thinking skills effectively. Furthermore, it aims to explore English language teachers’ experience about the use of CALL-based activities in English language classrooms or labs.

Design/methodology/approach

This study followed a pre-post study design to examine whether the structure of an essay and computer-based activities helped to improve English language proficiency among non-native speakers. This design is adopted to investigate the effects of CALL activities on students’ English essays. This study used data from 198 students and after this, four English teachers were interviewed to know their opinions and observations about these CALL-based activities and students’ essay writings. Pre- and post-test data was analysed in percentages and further examined through a t-test. The findings of teachers’ interviews were further analysed through Nvivo software to develop an understanding of research questions through significant themes.

Findings

The pre-test results confirmed that students’ language proficiency is underdeveloped and informal. Students needed help constructing introductory paragraphs with the reader’s hook, background information, three-point thesis statement and transitional hook. Whereas, post-test results showed that students’ English language proficiency in essay writing was found improved with the use of technological tools and CALL-based activities. Furthermore, it was observed that structure and teacher feedback in essay writing are vital for English proficiency.

Originality/value

This study benefits English language teachers, administrators, language policymakers and syllabus designers at colleges and universities. The debate over how to improve English language proficiency and academic achievement presents diverse challenges across several countries. Non-native speakers, at an undergraduate level, can significantly improve academically and become proficient in English essay writing with the help of structural guidelines and the use of educational technology. This article demonstrates a two-way process to improve an objective definition of English language development, which is conceivable if the technology is adopted.
“Revealing the future”: an ARIMA model analysis for predicting remittance inflows
Authors: Khan Imran , Gunwant Darshita Fulara
Published: June 2024

Purpose

The purpose of this research is to develop a predictive model that can estimate the volume of remittances channeled toward Yemen’s economic reconstruction efforts.

Design/methodology/approach

This study utilized a time-series dataset encompassing remittance inflows into Yemen’s economy from 1990 to 2022. The Box-Jenkins autoregressive integrated moving average (ARIMA) methodology was employed to forecast remittance inflows for the period 2023 to 2030.

Findings

The study’s findings indicate a downward trajectory in remittance inflows over the next eight years, with projections suggesting a potential decline to 4.122% of Yemen’s gross domestic product by the end of 2030. This significant decrease in remittance inflows highlights the immediate need for concrete steps from economic policymakers to curb the potential decline in remittance inflows and its impact on Yemen’s economic recovery efforts.

Originality/value

The impact of global remittance inflows on various macroeconomic and microeconomic factors has long been of interest to researchers, policymakers, and academics. Yemen has been embroiled in violent clashes over a decade, leading to a fragmentation of central authority and the formation of distinct local alliances. In such prolonged turmoil, foreign aid often falls short, providing only temporary relief for basic needs. Consequently, the importance of migrant remittances in sustaining communities affected by conflict and disasters has increased. Remittances have played a crucial role in fostering economic progress and improving social services for families transitioning from conflict to peace. Therefore, this study aims to estimate and forecast the volume of remittances flowing into Yemen, to assist in the nation’s economic reconstruction.
Selection of unmanned aerial vehicle systems for border monitoring using the MPSI-SPOTIS method
Authors: Torres Pablo Santos , Gomes Carlos Francisco Simões , Santos Marcos dos
Published: June 2024

Purpose

The present paper assesses the decision problem of selecting Unmanned Aerial Vehicle Systems (SARP) by the hybrid MPSI-SPOTIS approach for deployment in border control and transborder illicit combat.

Design/methodology/approach

By the hybrid MCDA MPSI-SPOTIS approach, and from the database available in Gettinger (2019), models were filtered by Endurance, Range, Maximum Take-Off Weight (MTOW), and Payload, fitting within the classification of Categories EB 0 and 2. Category EB 1 was not considered in this study due to the limited number of models in the data source.

Findings

The use of the Multi-Criteria Decision Analysis (MCDA) tool MPSI-SPOTIS allowed the determination of weights by stochastic criteria, applied in a ranking method resistant to reverse ordering. The application of the method identified the Raybird-3 (Cat EB 0) and Searcher (Mk3) (Cat EB 2) models as the best alternatives. From a proposed clustering, other selection possibilities with close performance in the evaluation were presented. The cost criterion was not taken into consideration due to the absence of information in the data source employed. Future studies are suggested to include criteria related to the life cycle and acquisition cost of the models.

Research limitations/implications

The cost criterion was not taken into consideration due to the absence of information in the data source used. Future studies are suggested to include criteria related to the life cycle and acquisition cost of the models.

Originality/value

This paper aims to propose a technology selection method applied to complex defense acquisitions when multiple factors influence the decision makers and it is hard to obtain a major optimum solution in multitask and multi-mission platform.
Effects of knowledge transformation and social capital on business performance
Authors: Zirena-Bejarano Patricia Pilar , Parra-Requena Gloria , Quispe-Ambrocio Abelardo David , Merma-Valverde Willam Fernando
Published: June 2024

Purpose

This article delves into the antecedents of business performance. The main aim of this study is to analyze the effect of knowledge transformation on business performance in firms in the tourism industry and how cognitive and structural social capital heterogeneously moderate this relationship.

Design/methodology/approach

The empirical study was conducted on a sample of 300 firms from the tourism industry in Arequipa-Perú. The analysis was performed by means of partial least squares structural equation modeling, using the Smart PLS software.

Findings

Our findings show that knowledge transformation is key factor for increasing business performance. The results also highlight the significance of interorganizational relationships in this effect and the importance of analyzing each dimension of social capital separately. Thus, it is observed that cognitive social capital enhances the relationship between knowledge transformation and business performance, while (Sari and Indriani, 2023) structural social capital hinders it.

Practical implications

The findings assist practitioners in developing a shared culture, values and goals with their contacts to improve business performance. Furthermore, firms should establish bridging ties with external agents to avoid be stuck in excessively dense networks. Relationships with institutions can act as a bridging agent.

Originality/value

This paper analyses the unresolved question of how knowledge transformation affects the business performance of companies in the tourism sector as well as how different dimensions of social capital influence in this relationship. Addressing these two critical, but as yet unresolved questions, this study draws on absorptive capacity and social capital theories as an overarching framework to present a conceptual model that integrates both theories in order to analyze the effect of knowledge transformation on business performance in tourism firms and the role of structural and cognitive capital on this relationship.
Knowledge management of MNCs in the post-COVID era: the role of cultural intelligence and knowledge-oriented leadership
Authors: Zhang Ying , Xiong Puzhen , Rong Shiyu , Frost Mark , Zhou Wei
Published: June 2024

Purpose

This study aims to investigate the mechanism of knowledge management within multinationals during the post COVID-19 era, with particular consideration given to the relationship between the cultural intelligence of top managers and knowledge-oriented leadership using fear of COVID-19 as a moderating factor.

Design/methodology/approach

Derived from upper echelons’ theory and research on knowledge management success (KMS), a theoretical model and associated hypotheses have been developed and tested. Structural equation modeling was used with statistics collected from 288 top managers and executives of multinational corporations dominated by knowledge-intensive industries through a network investigation.

Findings

Results indicate that the levels of executives’ cultural intelligence and knowledge-oriented leadership contribute to KMS, while knowledge-oriented leadership acts as a mediator between them. In addition, the fear of COVID-19 of senior executives negatively affects both the direct and mediated influence of cultural intelligence on KMS.

Research limitations/implications

The current research uses an empirical approach to examine cross-border KMS. Further research is needed to develop more comprehensive measurement tools for KMS and more detailed research by further developing the subdimensions of cultural intelligence. In addition, this paper used cross-sectional research that limits the capability to establish causal relationships over time.

Originality/value

The research explores the “human side” of the key antecedents of KMS, fills the gap in research about the impact of cultural intelligence and knowledge-oriented leadership on the achievement of KMS, paves the way for emerging knowledge-oriented leadership from the initial phase to the mature phase and contributes to the literature on environmental uncertainty and crisis, using the COVID-19 as a representative context.
Unlocking the sources of individual readiness for change: exploring the role of nationality
Authors: Said Karim , Kherrazi Soufiane , Gottschling-Knudsen Lars
Published: June 2024

Purpose

This paper aims to examine primarily the readiness for change at an individual level. Additionally, this study examines the impact of internal change factors on individual readiness for change as well as their effect across nations.

Design/methodology/approach

The research relies on a quantitative research approach. A survey was conducted among 241 managers across 33 countries. Covariance-based structural equation modeling (CB-SEM) approach and multigroup analyses have been applied for hypothesis testing.

Findings

Our research contributes a novel perspective on individual readiness for change and unveils how employees' perceptions of context, process and intensity as internal change factors influence their readiness for change. The findings give support to the assertion that employees' attitudes toward change are altered by individual perceptions.

Research limitations/implications

Our research explores the moderating effect of nationality used through a grouped variable and finds significant impacts of clusters of nationalities. Thus, nationality may serve as a proxy for culture that might be examined in future research studies in a more deeply focused way to include beliefs, values and societal norms.

Practical implications

The new understanding of the topic “individual readiness for change” opens up new research directions and enriches ongoing discussions about societal change and sustainable project management. This topic creates a link to situational leadership principles, considers cultural factors and, therefore, advocates for a people-centric approach to modern stakeholder management in order to achieve commitment toward change initiatives and consequent project success.

Social implications

Considering that the path toward the successful implementation of any change project is highly contingent on personal dispositions to change, our research uncovers the potential impact of individual perceptions on employees' readiness for change.

Originality/value

Our major contribution is to highlight the importance of considering individual perceptual drivers of readiness for change and to acknowledge the moderating effect of nationality as a contextual factor altering the relationship between perception of change and individual readiness for change.
From SOFT approach to SWOT analysis, a historical reconstruction
Authors: Puyt Richard W. , Lie Finn Birger , Madsen Dag Øivind
Published: June 2024

Purpose

The purpose of this study is to revisit the conventional wisdom about a key contribution [i.e. strengths, weaknesses, opportunities, threats (SWOT) analysis] in the field of strategic management. The societal context and the role of academics, consultants and executives is taken into account in the emergence of SWOT analysis during the 1960–1980 period as a pivotal development within the broader context of the satisfactory, opportunities, faults, threats (SOFT) approach. The authors report on both the content and the approach, so that other scholars seeking to invigorate indigenous theories and/or underreported strategy practices will thrive.

Design/methodology/approach

Applying a historiographic approach, the authors introduce an evidence-based methodology for interpreting historical sources. This methodology incorporates source criticism, triangulation and hermeneutical interpretation, drawing upon insights from robust evidence through three iterative stages.

Findings

The underreporting of the SOFT approach/SWOT analysis can be attributed to several factors, including strategy tools being integrated into planning frameworks rather than being published as standalone materials; restricted circulation of crucial long-range planning service/theory and practice of planning reports due to copyright limitations; restricted access to the Stanford Research Institute Planning Library in California; and the enduring popularity of SOFT and SWOT variations, driven in part by their memorable acronyms.

Originality

In the spirit of a renaissance in strategic planning research, the authors unveil novel theoretical and social connections in the emergence of SWOT analysis by combining evidence from both theory and practice and delving into previously unexplored areas.

Research implications

Caution is advised for scholars who examine the discrete time frame of 1960–1980 through mere bibliometric techniques. This study underscores the risks associated with gathering incomplete and/or inaccurate data, emphasizing the importance of triangulating evidence beyond scholarly databases. The paradigm shift of strategic management research due to the advent of large language models poses new challenges and the risk of conserving and perpetuating academic urban legends, myths and lies if training data is not adequately curated.
The influence of political disagreements and corruption on state health leader turnover during the COVID-19 pandemic in Brazil
Authors: Barberia Lorena G. , Masiero Gilmar , Alves de Lima Iana , Santana Luciana , Moraes de Sousa Tatiane C.
Published: June 2024

Purpose

Governments faced formidable challenges in coordinating public health responses to the COVID-19 pandemic. This study aims to enhance the understanding of effective organizational leadership during crises by investigating the factors influencing the turnover of health leaders during the COVID-19 pandemic in Brazil.

Design/methodology/approach

Using primary data encompassing all appointments and dismissals of federal and state health secretaries, this paper conducted a quantitative analysis of the relational and reputational factors that contributed to leader turnover during the COVID-19 pandemic. This paper also examined whether leaders’ management and public health experience increase the duration of tenure.

Findings

States encountered significant challenges in retaining experienced and effective leadership during the health emergency, primarily due to political conflicts in policymaking and, to a lesser extent, allegations of corruption. Furthermore, leaders with expertise in public health were found to be less likely to be removed from office. However, managerial experience did not prolong the tenure of state health secretaries during the emergency.

Research limitations/implications

Since most health leaders have public health and management experience, the contributions of each factor to the duration of a secretary’s tenure are difficult to separate and analyze separately.

Practical implications

This study provides empirical insights into what factors drive health leader turnover during major health emergencies.

Social implications

During major health emergencies, health leaders often strongly disagree with elected officials on the response. This paper test how crisis leadership theories help explain state health leaders’ duration in one of the world’s largest public health systems during the COVID-19 pandemic. This paper find that policy disagreements contributed to significant turnover.

Originality/value

To the best of the authors’ knowledge, this paper is the first that are aware of that uses novel primary data on public health executive leader characteristics and turnover causes in the context of the COVID-19 pandemic. It provides empirical evidence contributing to the crisis leadership literature by examining health leader turnover in one of the world’s largest public health systems.
Unveiling the potential of perceived authentic leadership to enhance followers’ moral intentions: a self-determination theory perspective
Authors: Karbasi Naghmeh Sadat , Alavi Seyyed Babak
Published: June 2024

Purpose

The purpose of this study is to explore the effects of followers’ perceptions of their leaders’ authentic leadership behaviors on how followers become motivated to develop moral intention.

Design/methodology/approach

Using field survey data (n = 337), exploratory factor analysis and multiple regression, the authors suggest that perceived authentic leadership positively affects followers’ moral intent. The authors tested a self-determination theory-based model to explain the mediations.

Findings

The authors found that perceived authentic leadership is related to employees’ autonomous moral motivation through basic psychological need satisfaction, which in turn predicts their moral capacities and moral intent.

Originality/value

This study is unique in that it has examined various motivational variables to explain the mechanism by which authentic leadership influences morality. In addition, this is also novel in empirically using the autonomous motivation construct in the moral domain to explain how employees may develop moral capacities over time, impacting their moral intent. This research is also unique in testing the relationship between all moral capacities proposed in the literature and moral intent. The theoretical implications, practical implications and avenues for further research are also discussed.
Fungi and deadwood diversity: A test of the area‐heterogeneity trade‐off hypothesis
Authors: Zibold Max , Bässler Claus , Hauck Markus , Scherer‐Lorenzen Michael
Published: June 2024

Environmental heterogeneity is one of the most fundamental drivers of species diversity. For decades, ecologists have suggested that heterogeneity–diversity relationships are generally positive. But today, a greater variety of heterogeneity–diversity relationships is discussed. In this study, we contrasted two hypotheses for wood‐inhabiting fungi: The classical heterogeneity–diversity hypothesis, which predicts positive relationships due to an increase in niche dimensionality with increasing heterogeneity. And the more recently stated area‐heterogeneity trade‐off hypothesis, that predicts a unimodal pattern due to an inherent trade‐off between the number of occupied niches and the effective area per species. It allows positive and negative relationships only as special cases.

We sampled 3715 deadwood objects on 135 plots along a forest structure gradient in the Black Forest, Germany, and recorded 284 wood‐inhabiting fungal species. To assess heterogeneity of deadwood structures, we calculated two multidimensional structural diversity indices: Structural richness was used as a measure of available niche space, and structural divergence as a measure of multivariate variance within that niche space. Those indices were then related to species richness estimates for rare, common and dominant species using the framework of Hill numbers.

We found a linear, positive effect of structural richness and a unimodal effect for structural divergence on estimated species diversity. Structural richness, but not structural divergence, was strongly correlated with the number of sampled deadwood objects. No clear differences between the responses of rare, common and dominant species to the two heterogeneity gradients were found. We also estimated the mean abundance as a proxy for mean population size, which decreased significantly with structural richness but was non‐significantly related to structural divergence.

Synthesis. In general, the results of this study suggest a unimodal heterogeneity–diversity relationship for deadwood‐inhabiting fungi and are thereby in line with the area‐heterogeneity trade‐off hypothesis. Thus, the negative effect of heterogeneity should lead to lower species richness and a higher risk of stochastic extinctions at high levels of heterogeneity. However, as deadwood amount and deadwood diversity are often strongly correlated, we argue that the positive effect of resource availability on species richness may mask the negative effect of structural heterogeneity in some cases.
Study on the methods of visualizing bloodstains after thermal exposure
Authors: Di Junyi , Yan Xinyu , Wang Peibin , Zang Zhengzhe , Jin Jing , Zhang Jinzhuan
Published: June 2024

To establish the correlation between thermal conditions imposed on bloodstains and visualizing effect of enhancement techniques, infrared photography and four chemical enhancement reagents were used to visualize bloodstains following thermal exposure. A black tile was selected as the substrate to intensify the visualization challenge, with a Cone Calorimeter serving as the standardized heating source to control thermal conditions. Compared with standard photography, infrared photography is proven to be a valuable complement to chemical reagents, showing significant advantages in visualizing bloodstains after thermal exposure. However, it is worth noting that infrared image fell short of standard image when bloodstains displayed raised, embossed morphology or when bloodstains almost disappeared under specific conditions. The enhancement effectiveness was found to be strongly correlated with thermal conditions imposed on bloodstains, and the morphology evolution of bloodstains during heating affected the chemical enhancement effect additionally, especially when the bulge morphology was formed, and it was observed that reagents were more effective after removing the dense shell of the bulge. Among the four selected chemical enhancement reagents, fluorescein performed exceptionally well, maintaining its effectiveness even for bloodstains heated at 641°C for 10 min. TMB demonstrated its visualizing ability for bloodstains heated at 396°C for 5 min and heated at 310°C for 20 min. BLUESTAR® followed afterwards, while luminol performed worst. The correlation between thermal conditions imposed on bloodstains and the corresponding visualizing effectiveness of enhancement techniques provides important references for detecting bloodstains at fire scenes.