bluuebunny/crossref_metadata_2025_split huggingface dataset:
How does organizational polychronicity relate to individual adaptive performance? A conservation of resources perspective
Authors: Song Kuntai , Xu Xinyi , Wu Suying , Ni Qing , Zhao Lijing 
Published: June 2024

PurposeThis study aims to examine the effects of organizational polychronicity on individual adaptive performance. Drawing on conservation of resources theory and the perspective of individual differences in pressure perceptions, this study develops a conceptual model to test the mediating role of time pressure and the moderating role of trait regulatory focus in the relationship between organizational polychronicity and individual adaptive performance.Design/methodology/approachA three-wave survey was conducted to investigate a sample of 591 employees who engaged in innovative activities in China. The hypotheses were tested using hierarchical multiple regression and bootstrapping.FindingsThe results show that organizational polychronicity is negatively related to individual adaptive performance via time pressure. Promotion focus weakens the positive relationship between organizational polychronicity and time pressure and the mediating role of time pressure, while prevention focus augments the positive relationship between organizational polychronicity and time pressure and the mediating role of time pressure.Originality/valueThis study reveals the mediating role of time pressure in the relationship between organizational polychronicity and individual adaptive performance, as well as the moderating role of trait regulatory focus in this relationship, thereby deepening our understanding of organizational polychronicity from both a theoretical and a practical perspective.
What makes for digital entrepreneurs? The role of AI-related drivers for nascent digital start-up activities
Authors: Duong Cong Doanh 
Published: June 2024

PurposeApplying the Stimulus–Organism–Response (SOR) model, this study aims to explore how AI-driven stimuli (e.g. ChatGPT adoption in entrepreneurship and perceived AI competencies) stimulate individuals’ cognitive organisms (e.g. digital entrepreneurial opportunity exploration and exploitation), and how these individually, congruently, and incongruently trigger their behavioral responses (e.g. nascent digital start-up activities).Design/methodology/approachUtilizing a sample of 1326 MBA students in Vietnam with a stratified sampling approach, multiple linear regression and polynomial regression with response surface analysis were used to test hypotheses.FindingsThe findings reveal that ChatGPT adoption in entrepreneurship and perceived AI competencies have a positive and significant impact on individuals’ digital entrepreneurial opportunity exploration and exploitation, which in turn, positively affects nascent digital start-up activities. Moreover, the study also reports that digital entrepreneurial opportunity exploration and exploitation can be congruently combined with each other to trigger the effects of nascent digital start-up activities.Practical implicationsSome valuable recommendations based on the findings have been provided for practitioners and policymakers.Originality/valueThe study contributes to the academic landscape by validating the SOR model within the context of AI adoption and entrepreneurship. It emphasizes the sequential processes of stimulus, cognitive responses, and behavioral outcomes, shedding light on nuanced effects in the digital entrepreneurial landscape.
Harmonizing visiting performers' motivations and community revitalization at a rural island music festival
Authors: Chiya Amos 
Published: June 2024

PurposeThis study aims to investigate the motivations behind visiting music performers’ attendance at a music festival in the context of a rural Japanese island and how these motivations are connected to community revitalization within the framework of social exchange theory.Design/methodology/approachParticipant observation and 20 in-depth semi structured interviews were conducted with the visiting musicians at the Kurahashi East-West Music Festival on Kurahashi-jima in Hiroshima Prefecture. A qualitative analysis approach using thematic coding, grounded in social exchange theory, was employed to examine the perspectives of the participants.FindingsThe findings identified seven key themes related to motivation: performing and interacting with fellow musicians, for leisure performing or “fun”, providing a cultural experience to the community, participating for tourism purposes, because of sense of belonging to the destination, to collaborate with a prominent musician, and loyalty and commitment to a performance group. The results demonstrated that leisure performance and musician interaction were the most dominant themes in terms of motivation, while the importance of the other themes varied.Originality/valueBy employing social exchange theory at a micro-level, this study delved deeper into the motivations perceived by visiting performing musicians at music festivals and their implications for community revitalization. The insights gained from this research provide valuable implications for festival organizers, performers and community leaders to tailor music festivals for community revitalization.
Logical analysis of data in predictive failure detection and diagnosis
Authors: Shao Zhixuan , Kumral Mustafa 
Published: June 2024

PurposeThis study aims to address the critical issue of machine breakdowns in industrial settings, which jeopardize operation economy, worker safety, productivity and environmental compliance. It explores the efficacy of a predictive maintenance program in mitigating these risks by proactively identifying and minimizing failures, thereby optimizing maintenance activities for higher efficiency.Design/methodology/approachThe article implements Logical Analysis of Data (LAD) as a predictive maintenance approach on an industrial machine maintenance dataset. The aim is to (1) detect failure presence and (2) determine specific failure modes. Data resampling is applied to address asymmetrical class distribution.FindingsLAD demonstrates its interpretability by extracting patterns facilitating the failure diagnosis. Results indicate that, in the first case study, LAD exhibits a high recall value for failure records within a balanced dataset. In the second case study involving smaller-scale datasets, enhancement across all evaluation metrics is observed when data is balanced and remains robust in the presence of imbalance, albeit with nuanced differences in between.Originality/valueThis research highlights the importance of transparency in predictive maintenance programs. The research shows the effectiveness of LAD in detecting failures and identifying specific failure modes from diagnostic sensor data. This maintenance strategy exhibits its distinction by offering explainable failure patterns for maintenance teams. The patterns facilitate the failure cause-effect analysis and serve as the core for failure prediction. Hence, this program has the potential to enhance machine reliability, availability and maintainability in industrial environments.
Nonlinear observer-based impedance control of a fully-actuated hexarotor for accurate aerial physical interaction
Authors: Wang Chang , Jiao Ran , Zhang Jianhua 
Published: June 2024

Purpose
Fully-actuated unmanned aerial vehicles (UAVs) are a growing and promising field of research, which shows advantages for aerial physical interaction. The purpose of this paper is to construct a force sensor-denied control method for a fully-actuated hexarotor to conduct aerial interaction with accurate force exerted outward.

Design/methodology/approach
First, by extending single-dimension impedance model to the fully-actuated UAV model, an impedance controller is designed for compliant UAV pose/force control. Then, to estimate the interaction force between UAV end-effector and external environment accurately, combined with super-twisting theory, a nonlinear force observer is constructed. Finally, based on impedance controller and estimated force from observer, an interaction force regulation method is proposed.

Findings
The presented nonlinear observer-based impedance control approach is validated in both simulation and environments, in which the authors try to use a fully-actuated hexarotor to accomplish the task of aerial physical interaction finding that a specified force is able to be exerted to environment without any information from force sensors.

Originality/value
A solution of aerial physical interaction for UAV system enabling accurate force exerted outward without any force sensors is proposed in this paper.
Evaluating the readiness of healthcare administration students to utilize AI for sustainable leadership: a survey study
Authors: Movahed Mohammad , Bilderback Stephanie 
Published: June 2024

PurposeThis paper explores how healthcare administration students perceive the integration of Artificial Intelligence (AI) in healthcare leadership, mainly focusing on the sustainability aspects involved. It aims to identify gaps in current educational curricula and suggests enhancements to better prepare future healthcare professionals for the evolving demands of AI-driven healthcare environments.Design/methodology/approachThis study utilized a cross-sectional survey design to understand healthcare administration students' perceptions regarding integrating AI in healthcare leadership. An online questionnaire, developed from an extensive literature review covering fundamental AI knowledge and its role in sustainable leadership, was distributed to students majoring and minoring in healthcare administration. This methodological approach garnered participation from 62 students, providing insights and perspectives crucial for the study’s objectives.FindingsThe research revealed that while a significant majority of healthcare administration students (70%) recognize the potential of AI in fostering sustainable leadership in healthcare, only 30% feel adequately prepared to work in AI-integrated environments. Additionally, students were interested in learning more about AI applications in healthcare and the role of AI in sustainable leadership, underscoring the need for comprehensive AI-focused education in their curriculum.Research limitations/implicationsThe research is limited by its focus on a single academic institution, which may not fully represent the diversity of perspectives in healthcare administration.Practical implicationsThis study highlights the need for healthcare administration curricula to incorporate AI education, aligning theoretical knowledge with practical applications, to effectively prepare future professionals for the evolving demands of AI-integrated healthcare environments.Originality/valueThis research paper presents insights into healthcare administration students' readiness and perspectives toward AI integration in healthcare leadership, filling a critical gap in understanding the educational needs in the evolving landscape of AI-driven healthcare.
Occasions, motivations and expressions of grace at work
Authors: O'Connell David , Adams Mara Fitzgibbons 
Published: June 2024

PurposeThis study builds upon previous research on grace in the workplace, using scholarship from the fields of psychology, business ethics, philosophy and religion with the purpose of clarifying how people experience grace in their work, when it happens, why it happens and what are the affective outcomes.Design/methodology/approachData were collected from employed adults in the USA. Research questions were explored using qualitative and quantitative methods.FindingsWorking from a conceptual framework linking the occasions of grace, the reasons for grace-giving and the resulting sentiments, the design and findings of a mixed methods study are presented. The results clarify how individuals from various work environments, demographic groups and spiritualties enact and react to grace-giving at work.Originality/valueThis paper contributes to organizational change and workplace spirituality literatures by unpacking what precipitates workplace grace episodes, what is the nature of the interpersonal exchanges and individuals’ affective responses. This approach allows us to better understand what happens in the specific moments of grace and how grace-giving might be encouraged.
College students’ consumption behaviour in internet celebrity economy under We Media environment: a study among Malaysian and Chinese students
Authors: Moorthy Krishna , Runxuan Lin , Chun T'ing Loh , Jing Yii Kwang 
Published: June 2024

Purpose
The purpose of this study is to examine the variables affecting college students’ consumption behaviour in the context of the internet celebrity economy and the We Media environment.

Design/methodology/approach
In this study, five independent variables − perceived ease of use, perceived usefulness, attitude, We Media environment and internet celebrity marketing, as well as one mediating variable, consumption intention, are used to analyse college students’ consumption behaviour.

Findings
This study concluded that all five independent variables have positive relationships with the consumption intention and that the consumption intention also has a positive relationship with the consumption behaviour.

Originality/value
This study expanded the technology acceptance model and theory of planned behaviour model, which could provide insights for future research on consumption intention and behaviour. In addition, this study gives guidance for businesses considering to join this new industry in the internet celebrity economy.
Measuring agility in local government agencies
Authors: Jabnoun Naceur 
Published: June 2024

PurposeThis paper develops an instrument of organizational agility. The instrument is utilized to assess the extent to which Ras Al Khaimah government agencies have adopted agility and to examine its impact on the achievement of strategic outcomes and employee satisfaction.Design/methodology/approachThe dimensions of agility are determined using factor analysis. The reliability of the dimensions is tested based on the Cronbach alpha coefficient, while the predictive validity of the instrument is assessed using correlation and multiple linear regression analysis. The extent to which Ras Al Khaimah government agencies adopted the dimensions of agility is assessed using one-sided T-test, and the difference between the levels of adoption of the dimensions is determined using one-way ANOVA. The relationships between agility the dependent variables of achieving strategic outcomes and employee satisfaction are assessed using multiple linear regression.FindingsThe paper determined two valid and reliable dimensions of organizational agility, namely leadership and strategic sensitivity and resource fluidity. Culture, a third reliable dimension found through factor analysis was found to influence agility indirectly. Government agencies have adopted the two dimensions that are found to increase the achievement of strategic outcomes and employee satisfaction.Research limitations/implicationsThis paper provides a valid and reliable measure for assessing organizational agility. This measure includes both enablers and capabilities. It adds to the limited empirical research on agility, particularly in the Arab world. The paper focused on local government agencies and its findings may not be applicable in other sectors.Practical implicationsThe measure can serve as an effective agility self-assessment tool for organizations, enabling them to identify areas for improvement and specific practices they need to adopt to enhance their agility. This, in turn, allows them to become more responsive to changes, achieve strategic outcomes and improve employee satisfaction.Originality/valueThis paper has important research and practical implications. It provides a valid and reliable measure of organizational agility with both enablers and capabilities. This measure can help organizations become agile and achieve higher strategic outcomes and employee satisfaction.
Oxidative stability of avocado oil blended with different levels of ultrasonic extract of Chlorella vulgaris under different temperatures
Authors: Alsayari Shahd A.A. , F.M. Ali Rehab , Althwab Sami A. , Almujaydil Mona S. 
Published: June 2024

Purpose
This study aims to assess the oxidative stability of avocado oil (AO) at various temperatures, using butylated hydroxytoluene (BHT) as an artificial antioxidant and different concentrations of ultrasonic extract of Chlorella vulgaris.

Design/methodology/approach
Extracts of C. vulgaris were obtained using four solvents: water, acetone, ethanol and 80% ethanol-aqueous. Standard techniques were used to conduct qualitative phytochemical screening of the extracts. The extracted samples were analyzed for total phenolics, total flavonoids, antioxidant activity and phenolic compound fractionation. Some physicochemical parameters of AO treated with various concentrations of C. vulgaris ultrasonic extract compared to a 200 ppm BHT and exposed to different temperatures were measured.

Findings
The highest phenolic, flavonoids content and antioxidant activity was achieved by 80% ethanolic extract of C. vulgaris . The results showed that exposure of AO to high temperatures led to significant changes in the oil's physicochemical properties. These changes increased as the temperature increased. On the other hand, adding 80% ethanolic extract of C. vulgaris into AO reduced the effect of heat treatment on the change in physicochemical properties.

Originality/value
Adding 80% ethanolic extract of C. vulgaris into AO can potentially reduce the impact of heat treatment on the alteration of physicochemical properties.
Application and prospective of sand-type 3D printing material in rock mechanics: a review
Authors: Yu Chen , Tian Wei 
Published: June 2024

Purpose
This paper aims to investigate the application of 3D printing technology, particularly using sand-type materials, in the creation of artificial rock models for rock mechanics experimentation.

Design/methodology/approach
Using a comprehensive analysis, this research explores the utilization of 3D printing technology in rock mechanics. Sand-type materials are specifically investigated for their ability to replicate natural rock characteristics. The methodology involves a review of recent achievements and experimentation in this field.

Findings
The study reveals that sand-type 3D printing materials demonstrate comparable properties to natural rocks, including brittle characteristics, surface roughness, microstructural features and crack propagation patterns.

Research limitations/implications
While the research establishes the viability of sand-type 3D printing materials, it acknowledges limitations such as the need for further exploration and validation. Generalizability may be constrained, warranting additional research to address these limitations.

Originality/value
This research contributes insights into the potential application of sand-type 3D printing materials in indoor rock physics experiments. The findings may guide future endeavors in fabricating rock specimens with consistent structures for practical rock mechanics applications.
ExMove: An open‐source toolkit for processing and exploring animal‐tracking data in R
Authors: Langley Liam P. , Lang Stephen D. J. , Ozsanlav‐Harris Luke , Trevail Alice M. 
Published: June 2024

Abstract

Ongoing technological advances have led to a rapid increase in the number, type and scope of animal‐tracking studies. In response, many software tools have been developed to analyse animal movement data. These tools generally focus on movement modelling, but the steps required to clean raw data files from different tracking devices have been largely ignored. Such pre‐processing steps are often time‐consuming and involve a steep learning curve but are crucial for the creation of high‐quality, standardised and shareable data. Moreover, decisions made at this early stage can substantially influence subsequent analyses, and in the current age of reproducibility crisis, the transparency of this process is vital.

Here we present an open‐access, reproducible toolkit written in the programming language R for processing raw data files into a single cleaned data set for analyses and upload to online tracking databases (found here: https://github.com/ExMove/ExMove). The toolkit comprises well‐documented and flexible code to facilitate data processing and user understanding, both of which can increase user confidence and improve the uptake of sharing open and reproducible code. Additionally, we provide an overview website (found here: https://exmove.github.io/) and a Shiny app to help users visualise tracking data and assist with parameter determination during data cleaning.

The toolkit is generalisable to different data formats and device types, uses modern ‘tidy coding’ practices, and relies on a few well‐maintained packages. Among these, we perform spatial manipulations using the package sf.

Overall, by collating all required steps from data collection to archiving on open access databases into a single, robust pipeline, our toolkit provides a valuable resource for anyone conducting animal movement analyses and represents an important step towards increased standardisation and reproducibility in animal movement ecology.
Short‐stature trees: Need for expanded knowledge on stand dynamics for their ecological and silvicultural management
Authors: Paritsis Juan 
Published: June 2024

Abstract

Research Highlight discussing: Fajardo, A., Moreno‐Meynard, P. & Soto, D. P. (2024). Forest stand dynamics of a short‐stature tree species: Ecological knowledge for sustainable forest management. Journal of Applied Ecology, https://doi.org/10.1111/1365‐2664.14662.

Oliver stand dynamics conceptual model of tree stand succession was designed for tall trees but is not necessarily applicable to short‐stature tree species, which represent a large proportion of forests/woodlands worldwide.

The South American short tree/shrub Nothofagus antarctica is a persuasive example of a short tree species that can benefit from an alternative conceptual model on stand dynamics. It also illustrates the high variability in stand dynamics observed in many short‐stature trees.

Stand dynamics of short‐stature trees remain generally understudied, hindering their management and silvicultural use. Although generalisations may not be feasible due to the continuum of growth forms and succession dynamics of short trees, there is an urgent need to increase our knowledge for their sustainable management.