bluuebunny/crossref_metadata_2025_split huggingface dataset:
Contrasting Effects of Cytoskeleton Disruption on Plasma Membrane Receptor Dynamics: Insights from Single-Molecule Analyses
Authors: Rohr Leander , Rausch Luiselotte , Harter Klaus , zur Oven-Krockhaus Sven 
Published: September 2024

AbstractTraditional models such as the fluid mosaic model or the lipid raft hypothesis have shaped our understanding of plasma membrane (PM) organization. However, recent discoveries have extended these paradigms by pointing to the existence of micro- and nanodomains. Here, we investigated the role of the cytoskeleton in general and whether the picket fence model, established in animal cells, is transferable to the plant cell system. By using single-particle tracking photoactivated localization microscopy (sptPALM) in combination with genetically encoded enzymatic tools for the targeted disruption of the cytoskeleton, we studied the dynamics and nanoscale organization of a selection of PM receptor-like kinases (RLKs) and receptor-like proteins (RLPs). Our findings show that the disintegration of actin filaments leads to decreased diffusion, more restrictive motion patterns, and enlarged clusters, whereas the disintegration of microtubules results in increased diffusion, more unconstrained diffusive behavior, and decreased cluster sizes of the tested RLKs and RLPs. These results underscore the potential unique regulatory functions of cytoskeleton components in plants and suggest an altered mechanism compared to the picket fence model of the animal cell system. Our qualitative data can serve as the foundation for further investigations aimed at developing a comprehensive and refined model of protein dynamics and organization in plant cells.
How CSR communication and value co-creation shape consumer well-being and brand love in the post-COVID-19 pandemic: evidence from the UK
Authors: Chang Shing-Wan , Berwanger Gabriel Alexander Dos Santos 
Published: September 2024

PurposeDrawing upon the service-dominant logic (S-D logic) and elaboration likelihood model (ELM), this paper provides an integrative model to investigate how argument quality and source credibility of CSR communication affects customer value co-creation behavior, resulting in increased brand trust. Additionally, it unveils how brand trust and the perception of COVID-19 risk influence both brand love and subjective well-being.Design/methodology/approachThe data of this study were collected through survey questionnaire from 304 coffee shop customers using convenience sampling and tested using the partial least squares structural equation modeling (PLS-SEM) technique to validate its model.FindingsThe research findings confirm the positive association between source credibility and customer value co-creation (i.e. customer participation and citizenship behavior). By contrast, argument quality is revealed to have a significantly positive effect on customer citizenship behavior (CCB) but a non-significant effect on customer participation behavior (CPB). Additionally, the study identifies that customer value co-creation behavior significantly promotes brand trust. Finally, findings indicate that brand trust and the perception of COVID-19 risk significantly influence brand love and subjective well-being.Originality/valueThis study contributes to the literature on CSR communication and S-D logic and provides new insights for marketers and advertisers to manage brands in the post-pandemic scenario through CSR communications. Furthermore, this study theoretically extends the ELM model to the CSR communication research. Finally, this study expands the relevant literature by clarifying the relationships between the perception of COVID-19 risk, brand love and subjective well-being.
Forecasting the outcomes of construction contract disputes using machine learning techniques
Authors: Un Buse , Erdis Ercan , Aydınlı Serkan , Genc Olcay , Alboga Ozge 
Published: September 2024

PurposeThis study aims to develop a predictive model using machine learning techniques to forecast construction dispute outcomes, thereby minimizing economic and social losses and promoting amicable settlements between parties.Design/methodology/approachThis study develops a novel conceptual model incorporating project characteristics, root causes, and underlying causes to predict construction dispute outcomes. Utilizing a dataset of arbitration cases in Türkiye, the model was tested using five machine learning algorithms namely Logistic Regression, Support Vector Machines, Decision Trees, K-Nearest Neighbors, and Random Forest in a Python environment. The performance of each algorithm was evaluated to identify the most accurate predictive model.FindingsThe analysis revealed that the Support Vector Machine algorithm achieved the highest prediction accuracy at 71.65%. Twelve significant variables were identified for the best model namely, work type, root causes, delays from a contractor, extension of time, different site conditions, poorly written contracts, unit price determination, penalties, price adjustment, acceptances, delay of schedule, and extra payment claims. The study’s results surpass some existing models in the literature, highlighting the model’s robustness and practical applicability in forecasting construction dispute outcomes.Originality/valueThis study is unique in its consideration of various contract, dispute, and project attributes to predict construction dispute outcomes using machine learning techniques. It uses a fact-based dataset of arbitration cases from Türkiye, providing a robust and practical predictive model applicable across different regions and project types. It advances the literature by comparing multiple machine learning algorithms to achieve the highest prediction accuracy and offering a comprehensive tool for proactive dispute management.
The interrelationships between emotional intelligence, achievement motivation and students’ employability: exploring the mediating effect of self-efficacy
Authors: Li Xiang , Pu Ruihui , Phakdeephirot Nutteera 
Published: September 2024

PurposeThis research examines the mediating effect of self-efficacy among interrelationships of emotional intelligence, achievement motivation and students’ employability in the Chinese higher education institutions. This study was primarily conducted by applying the social cognitive theory to explain the beliefs and abilities of being employed for university students and influenced by their achievement motivation.Design/methodology/approachA survey approach was employed to collect the samples of 585 final-year college students using the convenience sampling method from 5 different Chinese higher education institutions. The structural equation modeling (SEM) approach was used as the data analysis method.FindingsThe result significantly supported the positive effect of emotional intelligence (ß = 0.298, p < 0.001) and achievement motivation (ß = 0.307, p < 0.001) on students’ employability. Furthermore, the results also showed that self-efficacy significantly had a mediating effect between achievement motivation and employability (ß = 0.119, CI95%: 0.062, 0.195) among college students. However, the study confirmed that self-efficacy was not associated with the relationship between emotional intelligence and employability (ß = 0.029, CI95%: −0.003, 0.075).Originality/valueThis research clarifies and highlights that psychological variables have highly correlated with the employability outcomes of university students. The findings also hold significant value and practical implications for the governments, colleges, and students that enhancing employability should be through targeted interventions. This study sets the stage for future research exploring potential mediators of motivation and other essential factors that may influence among the existing relationship.
Bringing academic disciplines together to focus on literacy: a secondary school case study
Authors: Michel Daryl Allan 
Published: September 2024

PurposeThe purpose of this qualitative study was to bring together teachers from different academic disciplines to engage them in lesson study (LS) cycles with a focus on literacy.Design/methodology/approachThis research employed a qualitative case study and occurred in one secondary school along the Texas (USA) and Mexico border. Ten teachers representing six academic disciplines participated in eight LS cycles to reflect on their knowledge of literacy, including when, if at all, they integrated literacy when planning and teaching lessons. About 20 students shared their impressions, feelings and thoughts about the lessons.FindingsTeachers learned that literacy standards exist in each academic discipline and that integrating reading and writing during lessons allowed for more increased dialogue between/among teachers and students. The principal learned that teachers from all academic disciplines need differentiated, sustained professional learning opportunities on how to teach literacy skills.Originality/valueTeachers often work alone or within their respective academic departments, whereas this project focused on secondary teachers from six academic disciplines taking part in LS cycles with a common focus on literacy. Sustained opportunities for teachers to study their standards and curriculum materials, plan and teach lessons and share perspectives from classroom observations resulted in new knowledge about ways to include literacy in any academic discipline. A schoolwide professional learning community focused on literacy could act as a catalyst for instructional change.
Teleworking and work-family balance in public educational institutions
Authors: Costa Marine Mateus , Alves Filho Antônio , Pessoa-de-Oliveira Ana Katarina 
Published: September 2024

PurposeThis article aims to investigate teleworking in public institutions, specifically focussing on the perspectives of technical-administrative employees at a Brazilian federal educational institution.Design/methodology/approachThe research methodology involved the use of guided semi-structured interviews with public servants. The analysis applied a prior set of categories derived from the advantages and disadvantages of teleworking, as well as the favourable and unfavourable aspects of the interaction between teleworking and family relationships.FindingsThe findings reveal a range of benefits associated with teleworking, primarily an improved quality of life for workers. However, the study also identified significant challenges, including excessive workload, social isolation and difficulties in separating personal and professional life, corroborating with previous studies.Research limitations/implicationsIt is crucial to note that the majority of participants in the study have children or dependants, which could potentially influence their teleworking strategies and experiences. This demographic factor may play a significant role in how participants navigate their work-from-home routines and manage their responsibilities, especially during the COVID-19 pandemic.Practical implicationsWorking from home presents two sides of the same coin according to the vision of those involved in this type of work. Public organisations should know in depth the challenges faced by their workers to prioritise planning that monitors their workforce and achieve success with teleworking.Originality/valueThe insights from this study provide valuable guidance for the development of evidence-based teleworking policies and practices in public educational institutions.
Research on composite material riveting simulation method for engineering applications
Authors: Niu Chunliang , Liu BingZhuo , Bai Chunfei , Guo Liming , Chen Lei , Tang Jiwu 
Published: September 2024

PurposeIn order to improve the efficiency and reliability of simulation analysis for composite riveting structures in engineering products, a comparative study was conducted on different forms of riveting simulation methods.Design/methodology/approachFive different rivent simulation models were established using the finite element method, including rigid element CE, flexible element Rbe3 and beam element, and their results were future compared and analyzed.FindingsUnder the given technical parameters, the simulation method of Rbe3 (with holes) + beam can meet the analysis requirements of complex engineering products in terms of the rationality of rivet load distribution, calculation error and relatively efficient modeling.Originality/valueThis study proposes a simulation method for the riveting structure of carbon fiber composite materials for engineering applications. This method can satisfy the simulation analysis requirements of transportation vehicles in terms of modeling time, computational efficiency and accuracy. The research can provide technical support for the riveting process and mechanical analysis between carbon fiber composite components in transportation products.
Digitalization in action sports: blessing or curse?
Authors: Standaert Willem , Mazurova Elena 
Published: September 2024

PurposeThis study aims to identify how the use of digital technology for performance and commercial aspects of action sports can both create and destruct value.Design/methodology/approachExploratory research based on 30 interviews with coaches, athletes, judges, federations, fans and sponsoring organizations from Europe, across five action sport disciplines that are included in the Olympic program.FindingsValue creation of digital technology use related to the performance aspect of action sports fall into two categories: performance enhancement and performance evaluation. Value creation related to the commercialization aspect of action sports relate to specific technologies, in particular a video streaming and a centralized data and engagement platform, as well as to possibilities for betting and making sponsoring more measurable. Notably, such value creation opportunities are also accompanied by possible value destruction, as they interfere with the ethos of action sports (i.e. the unique nature and special culture).Originality/valueDrawing from service-dominant logic and adopting the value creation/destruction lens, this paper is the first to study how digitalization in the areas of performance and commercialization may further intensify tensions related to the ethos of action sports. Our approach is inclusive in terms of the types of digital technologies, action sport disciplines and stakeholders considered.
The determinants of MNE foreign subsidiaries’ performance: a systematic literature review and future research agenda
Authors: Nguyen Quyen 
Published: September 2024

PurposeForeign subsidiaries of multinational enterprises (MNEs) operate in complex and competitive international environments, implement market and non-market strategies, manage resources and value-added activities and contribute to the overall performance of their parent firms. Thus, the research question on the determinants of MNE foreign subsidiaries’ performance is of interest to managers and academic researchers. The empirical literature has flourished over the recent decades; however, the domains are fragmented, and the findings are inclusive. The purpose of this study is to systematically review, analyse and synthesize the empirical articles in this area, identify research gaps and suggest a future research agenda.Design/methodology/approachThis study uses the qualitative content analysis method in reviewing and analysing 150 articles published in 24 scholarly journals during the period 2000–2023.FindingsThe literature uses a variety of theoretical perspectives to examine the key determinants of subsidiary performance which can be grouped into six major domains, namely, home- and host country-level factors; distance between home and host countries; the characteristics of parent firms and of subsidiaries; and governance mechanisms (the establishment modes and ownership strategy, subsidiary autonomy and the use of home country expatriates for transferring knowledge from the headquarters and controlling foreign subsidiaries). A range of objective and subjective indicators are used to measure subsidiary performance. Yet, the research shows a lack of broader integration of theories and presents inconsistent theoretical predictions, inconclusive empirical findings and estimation bias, which hinder our understanding of how the determinants independently and jointly shape the performance of foreign subsidiaries.Originality/valueThis study provides a comprehensive, nuanced and systematic review that synthesizes and clarifies the determinants of subsidiary performance, offers deeper insights from both theoretical, methodological and empirical aspects and proposes some promising avenues for future research directions.
Introducing yourself to strangers: does conversational self-presentation matter in peer-to-peer accommodation
Authors: Liu Fuzhen , He Chaocheng , Lai Kee-Hung 
Published: September 2024

PurposeSelf-presentation has emerged as a pivotal marketing strategy for service providers seeking to craft virtual images in the peer-to-peer (P2P) accommodation sector. However, the literature lacks an understanding of conversational self-presentation, which offers more informal and personal communication.Design/methodology/approachDrawing upon social interaction theory and uncertainty reduction theory, this study explores the impact of conversational self-presentation and its interplay with space sharing and review ratings on customer purchases.FindingsUtilizing the fixed effects model on a panel dataset comprising 498,817 observations from Airbnb, we discover a positive association between conversational self-presentation and customer purchases. Furthermore, our analysis reveals that space sharing reinforces this positive effect, while review ratings tend to diminish it. A deeper mechanism analysis indicates that perceived authenticity plays a mediating role in the relationship between conversational self-presentation and customer purchases.Research limitations/implicationsThis study highlights the importance of conversational communication in enhancing host–guest relationships under information asymmetry. However, the proposed model can be extended to other accommodation-sharing platforms in various regions, identifying whether cultural differences exist in explaining the importance of conversational self-presentation.Practical implicationsMarketers are suggested to build a harmonious customer–brand relationship and achieve superior performance through effective online communication.Originality/valueThis study adds valuable insights to the literature about self-presentation, social interaction and customer behavior by revealing the significance of conversational self-presentation in driving the growth of P2P accommodation businesses.
Managing supply chain disruptions in the construction industry: an institutional approach
Authors: Bolomope Muhammed Temitayo , Nwadike Amarachukwu Nnadozie , Aigwi Itohan Esther 
Published: September 2024

Purpose
This study aimed to explore the institutional theory as a lens for investigating how construction firms adapt to supply chain disruptions. Specifically, the paper evaluates the interactions and interdependencies amongst various organizations, participants and institutions in the construction industry as a basis for a holistic, adaptive response strategy for managing supply chain disruptions.

Design/methodology/approach
Following the tenets of relativist philosophy and qualitative research methodology, this study explores the lived experiences of senior-level managers across major construction firms in New Zealand through in-depth semi-structured interviews, as a basis for understanding how their respective organizations adapt to supply chain disruptions.

Findings
The research findings suggest that aside from the formal rules that guide the conduct of construction firms as they adapt to supply chain disruptions, informal interactions that exist amongst various organizations and players in the construction industry could also enhance the development of innovative and practical response strategies to supply chain disruptions.

Originality/value
This study makes original empirical contributions to the supply chain management literature by providing insights into how construction firms demonstrate normative, coercive and mimetic isomorphic tendencies amidst the complexity of supply chain disruptions. Insights from this study could enhance the adaptive response of construction firms to supply chain disruptions while also improving the overall resilience of the built environment.
UNESCO, mining heritage and the scalar sustainability of tourism geographies at industrial World Heritage Sites
Authors: Rhodes II Mark Alan , Hannum Kathryn Laura 
Published: September 2024

PurposeIndustrial heritage works within a world of contradictions, contentions and scalar liminality. Archaeologists and historians focus upon oral histories and discourses of tangible and intangible memory and heritage while planners and economists see industrial World Heritage, in particular, as a marketing ploy to redevelop deindustrialized spaces. Within this liminality, we explore the potential for geographical perspectives to solder such contradictions into transdisciplinary heritage assessments and tourism contexts. How might the spatial tools of landscape and scalar analyses expose alternative and sustainable futures within broader patterns of industrial heritage management and consumption?Design/methodology/approachUsing three comparative cases, interview and landscape methods and conducting discourse analysis within a spatial and scalar framework, we explore the increasing presence of industrial World Heritage.FindingsWe present both an institutional reflection upon the complexities of heritage discourse across complex spatial configurations and the intersectional historical, cultural, political, environmental and economic geographies that guide and emerge out of World Heritage Designations. Framed scalarly and spatially, we highlight common interpretation, tourism and heritage management styles and concerns found across industrial World Heritage. We point out trans-scalar considerations for future municipalities and regions looking to utilize their industrial landscapes and narratives.Originality/valueWe believe that more theoretical groundings in space and scale may lead to both the flexibility and the applicability needed to assess and, in turn, manage trans-scalar and trans-spatial complex heritage sites. These perspectives may be uniquely poised to assess the complex geographies of industrial, particularly mining, World Heritage Sites.
Incidental learning in EFL learners’ vocabulary accumulation: the lens of dual process theory
Authors: Shang Shanshan , Geng Sen 
Published: September 2024

PurposeDrawing on dual process theory as the overarching framework, this study investigates how different types of incidental vocabulary learning yield different performance, repetition, and continuance intention outcomes and uncovers the underlying mechanism.Design/methodology/approachWe identify four popular types of incidental learning: traditional, a murder mystery game, noneducational live streaming, and VTuber. We propose that the underlying mechanism is the mediating role of perceived novelty as heuristic processing, and effort and performance expectancy as systematic processing. We conduct a between-subject experiment with four groups for the four types of incidental learning. From a total of 220 subjects, 55 valid responses were collected from each group. Analysis of variance and a partial least squares structural equation model are employed to examine the differences and mechanism.FindingsThe results show that noneducational live streaming performs significantly best for all three outcomes. The mechanism test demonstrates that perceived novelty and performance expectancy play significantly positive mediating roles, whereas effort expectancy has a null mediating effect.Originality/valueThe research provides both theoretical and practical implications.