bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ensuring a smooth landing for starting VET teachers: integrating induction and HRM practices
Authors: Runhaar Piety , Gulikers Judith , Biemans Harm 
Published: July 2024

PurposeThe goal of the current paper is to explore how induction of STs in VET schools can be improved by embedding induction in the broader human resources management (HRM) system. To this end, we will present and discuss the theoretical underpinning and the quantitative and qualitative outcomes of an online reflection instrument “Startwijzer,” developed in the Netherlands and which is based on literature on induction on one hand and on HRM literature on the other. In doing so the paper aims to contribute to induction theory and to formulate suggestions as to how provide STs with a smooth landing.Design/methodology/approachIn the period 2018–2023, the Startwijzer was filled out by starting teachers (STs), their coaches, HRM officers, team leaders and managers working in various VET schools. Descriptive analyses were done on respondents” (n = 629) scores on 13 indicators, with a three-point-Likert-scale (where 1 = “in order”, 2 = “doubt” and 3 = “in order”) in SPSS. Also differences among stakeholders were examined. Respondents’ explanations of their scores were analyzed thematically, within and across indicators, to reach a deeper understanding of how STs can be provided a smooth landing.FindingsWith AMO-theory of performance (Appelbaum et al., 2001) – stating that performance is a function of: abilities (A); motivation (M) and opportunities offered to exert expertise (O) – as conceptual model, 13 indicators relevant for effective induction were distinguished. (A): Timely Recruitment; Lesson Observations; Individual Coaching; Personal Development Plan; Reflection on Teaching Practice; Development of Professional Identity; (M): Exchange of Mutual Expectancies; Distinction among Performance Assessment and Guidance; Differentiation among STs; (O) Provision of Practical Information; Enculturation; Appointment of Coaches; Workload reduction. Respondents were generally very positive about the help and care provided informally by colleagues but less satisfied with the formal procedures.Originality/valueThe paper bridges the literature on induction and that of human resources management (HRM). While the positive impact of HRM on employee outcomes such as performance, commitment and well-being has been attested by numerous studies (e.g. Combs et al., 2006), it is only recently that the potential benefits of HRM for teachers have been acknowledged (e.g. Runhaar, 2017). The theoretical elaboration as well as the empirical evidence discussed in the current paper suggest that unless induction activities are embedded in school HRM policy, STs already start their careers 1–0 down and it might be difficult for them to catch up.
Adaptability and integration influence on adaptive capacity of small- and medium-scale construction organisations
Authors: Pim-Wusu Mark , Aigbavboa Clinton , Adu Gyamfi Timothy , Didibhuku Thwala Wellington 
Published: July 2024

PurposeAdaptability and integration (ADI) are the core ingredients for environmentally sustainable construction (ESC), which preserves the ecology from unsupported human activities. However, the approach is lagging in developing countries, which has led to studying the influence of ADI on the adaptive capacity of small- and medium-scale construction organisations.Design/methodology/approachThe research employed a quantitative methodology, collecting 400 responses as a sample size. A construct of 14 influential factors concerning ADI within the Ghanaian small and medium-scale construction industry was developed. The data obtained from participants underwent analysis using SPSS version 26. The validity of the study’s findings was assessed by applying structural equation modelling (SEM) within the AMOS software.FindingsIt was evident that innovation advancement and ongoing training and evaluations significantly influence ADI for adaptive capacity. Moreover, the system internally and vulnerability (SIV) and perceived need for implementation (PNI) sub-scales were the main latent components for best construction practices.Practical implicationsGhana’s small- and medium-scale construction organisations have yet to fully recognise the importance of ADI in enhancing adaptive capacity for the best ESC. However, the results indicated that ADI constructs will significantly influence implementation outcomes to ensure ESC.Originality/valueThe originality of this research also resides in identifying how ADI affect small- and medium-scale construction organisation’s ability to ensure ecologically sustainable building practices.
How to make ladies take higher risk? Female executives and corporate risk-taking in China: board social capital and marketization
Authors: Liu Xin , Cui Shengda , Du Chenxi , Brisker Eric R. 
Published: July 2024

PurposeThe purpose of this paper is to examine the relationship between Chinese female executives and corporate risk-taking the contingencies that affect this relationship.Design/methodology/approachA integrated theoretical framework was established, on the basis of which theoretical hypotheses were developed and tested using 20,315 firm-year observations collected from China’s publicly listed companies during the period 2005–2020. Data were collected from China's Shanghai and Shenzhen A-share Stock Exchanges and analyzed using a moderated regression analysis, PSM, 2SLS-IV and PSM-DID model.FindingsThe empirical results indicate a negative effect of the ratio of female executives in top management team on corporate risk-taking, and this negative effect can be weakened by the social capital of board directors and the regional marketization.Research limitations/implicationsThe paper contributes to research on the relationship between female executives and risk-taking by considering the effect of eastern culture on female executives’ business decision-making and examining the moderating factors inside and outside the firm.Practical implicationsThe paper illustrates the active steps that corporations can take to enhance female executives' willingness and capacity to take firm-related risks so as to improve the firm value in the long run.Originality/valueThe paper explores how Chinese culture and Chinese traditional value affect female executives’ decision-making on risky projects or uncertain investments. In addition, our study for the first time examines the moderating effect of board social capital as an internal factor and marketization as an external one on the relationship between Chinese female executives and corporate risk taking. The research examines the gender inequality in the work and competitive environment facing female executives in the areas of different marketization level, which would affect female executives’ cognition and motivation in corporate risk taking.
What sources do individuals use to validate arguments in scientific discourses today? An exploratory study of YouTube comments on vaccination
Authors: Kang Ju Hui , Ko Eun-Young , Choi Gi Woong 
Published: July 2024

Purpose
This study aims to explore scientific discourses on vaccination in YouTube comments using the Connectivism theory as a foundational guide in the inquiry of understanding knowledge seeking and sharing. The authors sought to understand how individuals share and seek information by using external sources through URL links to validate their arguments.

Design/methodology/approach
Using content analysis, the authors extracted and analysed 584 random comments with URL links from eight YouTube videos scientifically addressing the purpose of vaccines. The comments were coded by stance (pro, anti, and neutral) and the type of resource to observe how their links were used.

Findings
The results showed that URL links were composed of quotes, questions, and opinions. Many sources came from research papers, conspiracy websites, or other videos. Some of the comments did not accurately reflect the information from research papers and showed little scientific reasoning. This suggests the need for critical evaluation among individuals when finding information online.

Research limitations/implications
The findings can be expanded to explore different types of information literacy practices in the comment section of social media for both informal and formal environments.

Practical implications
YouTube is useful in fostering scientific discourse and information-seeking/sharing practices among individuals. However, considering the inaccuracy of content deliverance, educators and individuals will need to consider how to teach/conduct information literacy skills when implementing social media for educational purposes.

Originality/value
Only a few studies have conducted research on comments using URL links, the originality of sources and how the sources were used in argumentation.
Impact of capital inflows on bank profitability: a comparative analysis of dual banking systems
Authors: AlKhazali Osamah , Aguir Iness , Helmi Mohamad , Mirzaei Ali 
Published: July 2024

Purpose
Using data on 739 banks from 22 countries with a dual banking system from 2012 to 2019, this paper aims to examine whether capital inflows affect banks’ profitability in recipient countries.

Design/methodology/approach
The authors check the conjecture about the effect of capital inflows on the profitability of the host country’s banks by estimating the following regression:

Pict=α0+α1·CFct+α2·Islamici+α3·CFct×Islamici+δ·Xict+θ·Yct+εict (1)
where the dependent variable (Pict) refers to bank profitability, measured by either ROA or ROE for bank i, country c and year t. ROA is defined as the ratio of net profit to average total assets expressed as a percentage, which determines how efficiently a bank uses its assets to generate a profit. ROE is defined as the ratio of net profit to average total equity expressed as a percentage, which is a measure of increases in shareholders’ wealth.

Findings
The authors find that capital inflows are generally positively associated with bank profitability. However, cross-border capital inflows reduce the rate of return in Islamic banks relative to their conventional counterparts. When decomposing inflows by instrument, the authors find that the enhancing role of capital inflows on bank profitability comes mainly from debt inflows and borrowers; the authors observe that the documented results emanate mostly from the inflows to the financial sector. These results remain unchanged if holding a bank’s risk constant. Overall, foreign funds in the form of debt inflows targeting the financial sector can disproportionately improve the performance of commercial banks in recipient countries.

Originality/value
The paper is an original research project. The analysis contributes to the existing literature in several ways: the authors study whether the impact of capital inflows on bank profitability varies with the bank business model by looking at both the Islamic and conventional bank systems. The profitability of the banking system is an important catalyst for growth and stability. The authors also decompose capital inflows to recipient countries into their equity and debt components and study the differential impact of those components on the profitability of Islamic and conventional banks.
Toward an inclusive metaverse: maneuvering between acceptance of disability and need for uniqueness
Authors: Farah Maya F. , Ramadan Zahy 
Published: July 2024

PurposeWhile there has been a growing interest in the field of Metaverse-related research, its impact on vulnerable segments of the population, particularly those with special needs, is yet to be fully examined. This research develops the underlying scant theoretical knowledge related to the attachment of people with disabilities to the Metaverse and its effects on their need for uniqueness and acceptance of disability, and hence their sense of inclusivity and overall well-being.Design/methodology/approachThe study adopted a quantitative approach using an Internet-based survey. The sample size consisted of 530 Metaverse users with a physical disability in the USA. The proposed model integrates virtual place attachment alongside disabled consumers' need for uniqueness, and acceptance of their physical disability. SPSS and LISREL were utilized for data analysis and SEM.FindingsThe study underscores the complexity of the interplay between virtual place attachment, disability acceptance and the need for uniqueness among physically disabled users in the Metaverse. It investigates how the attachment to virtual spaces by people with disability influence their psychological well-being.Originality/valueThis research adds to the interactive marketing and disabled consumer psychology literature exploring the theoretical and practical implications from an attachment and need for uniqueness theory perspectives.
Mapping content-driven engagement and attitudinal spillover effect of influencer marketing
Authors: Mir Imran Anwar , Salo Jari 
Published: July 2024

PurposeThis study analyzes the indirect (i.e. through brand content engagement-BCE) and direct effects of informative, credible, novel, and aesthetically pleasing attributes of influencer-generated branded content on endorsed brand-related attitude and a subsequent attitudinal spillover effect on the followers' firm-generated endorsed brand-related ad click behavior.Design/methodology/approachData for this study were collected from 300 users who follow the top 40 Pakistani social media macro-influencers using an online survey. The conceptual model and hypotheses were tested through process macro and structural equation modeling.FindingsThis study finds informative, credible, novel, and aesthetically pleasing factors vital attributes of influencer-generated branded content, which indirectly (i.e. via BCE) and directly affects followers’ endorsed brand-related attitude. This study also finds that these factors have a positive attitudinal spillover effect on followers’ firm-generated endorsed brand-related ad-click behavior on social media.Practical implicationsThis study presents guidelines to firms and their partner influencers about designing and implementing follower-valued content-driven influencer marketing campaigns.Originality/valueThis study contributes to extant influencer marketing literature by integrating multiple attributes of influencer-generated branded content, which carry different values for followers, and using the Self-perception theory, the Multi-attribute attitude model, and the Spillover theory to explain their indirect and direct effects on endorsed brand-related attitude and a subsequent attitudinal spillover effect on firm-generated endorsed brand-related ads.
Artificial intelligence for library and information science education: using mnemonics to improve learning and retention
Authors: Saeidnia Hamid Reza , Keshavarz Hamid 
Published: July 2024

Purpose
This paper aims to familiarize students and instructors in the field of library and information science (LIS) with some features and benefits of mnemonics in the context of learning artificial intelligence (AI).

Design/methodology/approach
A narrative review among literature exists on mnemonics, AI and library services.

Findings
In the field of LIS, the use of mnemonics can be highly beneficial for both students and instructors. Mnemonics can aid in the retention and recall of complex concepts, classification systems, information retrieval strategies, jargon learning and library memory that are fundamental to the field. In the field of AI, mnemonics can be a valuable tool for students learning complex algorithms, concepts and techniques. Mnemonics can help students remember key components of AI models, understand the underlying principles and apply them effectively in problem-solving.

Originality/value
To the best of the authors’ knowledge, this paper is among the first ones exploring the use of mnemonics for learning subject areas related to artificial intelligence in LIS.
ESG controversies and insolvency risk: evidence from the insurance industry
Authors: Giráldez-Puig Pilar , Moreno Ignacio , Perez-Calero Leticia , Guerrero Villegas Jaime 
Published: July 2024

PurposeThis study investigates the relationships between environmental, social, and governance (ESG) controversies and insolvency risk in the insurance sector. Drawing from legitimacy and stakeholder theories, the authors explore the impact of ESG controversies on insurers’ insolvency risk and the moderating effect of ESG practices on this relationship.Design/methodology/approachThis study utilises a dataset comprising 120 stock insurance firms spanning from 2011 to 2022. The authors employed system-GMM estimations to control for potential endogeneity and conducted several robustness checks.FindingsESG controversy positively influences insurers’ insolvency risk, with ESG practices mitigating these positive effects. The Governance (G) component of ESG practices plays a key role in counteracting the effects of ESG controversies on insurance companies’ insolvency risk.Originality/valueThis is the first study to investigate the direct relationship between ESG controversies and insolvency risk in the insurance industry. It underscores the critical influence of stakeholders’ perceptions of the company’s legitimacy, which is determined by the number of ESG controversies undertaken by the insurer company, on its insolvency risk. Additionally, by examining the three components of ESG practices individually, the authors offer insights into how managers can gain a competitive edge, particularly by utilising governance practices as safeguards against the adverse effects of ESG controversies on their financial risk.
Development of trust-based autonomous driving framework in New Zealand
Authors: Rehman Attiqur , GhaffarianHoseini Ali , Naismith Nicola , Almhafdy Abdulbasit , Ghaffarianhoseini Amirhosein , Tookey John , Urrehman Shafiq 
Published: July 2024

PurposeAutonomous vehicles (AVs) have the potential to transform the infrastructure, mobility and social well-being paradigms in New Zealand (NZ) amid its unprecedented population and road safety challenges. But, public acceptance, co-evolution of regulations and AV technology based on interpersonal and institutional trust perspectives pose significant challenges. Previous theories and models need to be more comprehensive to address trust influencing autonomous driving (AD) factors in natural settings. Therefore, this study aims to find key AD factors corresponding to the chain of human-machine interaction (HMI) events happening in real time and formulate a guiding framework for the successful deployment of AVs in NZ.Design/methodology/approachThis study utilized a comprehensive literature review complemented by an AV users’ study with 15 participants. AV driving sprints were conducted on low, medium and high-density roads in Auckland, followed by 15 ideation workshops to gather data about the users’ observations, feelings and attitudes towards the AVs during HMI.FindingsThis research study determined nine essential trust-influencing AD determinants in HMI and legal readiness domains. These AD determinants were analyzed, corresponding to eight AV events in three phases. Subsequently, a guiding framework was developed based on these factors, i.e. human-machine interaction autonomous driving events relationship identification framework (HMI-ADERIF) for the deployment of AVs in New Zealand.Research limitations/implicationsThis study was conducted only in specific Auckland areas.Practical implicationsThis study is significant for advanced design research and provides valuable insights, guidelines and deployment pathways for designers, practitioners and regulators when developing HMI Systems for AD vehicles.Originality/valueThis study is the first-ever AV user study in New Zealand in live traffic conditions. This user study also claimed its novelty due to AV trials in congested and fast-moving traffic on the four-lane motorway in New Zealand. Previously, none of the studies conducted AV user study on SUV BMW vehicle and motorway in real-time traffic conditions; all operations were completely autonomous without any input from the driver. Thus, it explored the essential autonomous driving (AD) trust influencing variables in human factors and legal readiness domains. This research is also unique in identifying critical AD determinants that affect the user trust, acceptance and adoption of AVs in New Zealand by bridging the socio-technical gap with futuristic research insights.
Advancing predictive maintenance: a deep learning approach to sensor and event-log data fusion
Authors: Liu Zengkun , Hui Justine 
Published: July 2024

Purpose
This study aims to introduce an innovative approach to predictive maintenance by integrating time-series sensor data with event logs, leveraging the synergistic potential of deep learning models. The primary goal is to enhance the accuracy of equipment failure predictions, thereby minimizing operational downtime.

Design/methodology/approach
The methodology uses a dual-model architecture, combining the patch time series transformer (PatchTST) model for analyzing time-series sensor data and bidirectional encoder representations from transformers for processing textual event log data. Two distinct fusion strategies, namely, early and late fusion, are explored to integrate these data sources effectively. The early fusion approach merges data at the initial stages of processing, while late fusion combines model outputs toward the end. This research conducts thorough experiments using real-world data from wind turbines to validate the approach.

Findings
The results demonstrate a significant improvement in fault prediction accuracy, with early fusion strategies outperforming traditional methods by 2.6% to 16.9%. Late fusion strategies, while more stable, underscore the benefit of integrating diverse data types for predictive maintenance. The study provides empirical evidence of the superiority of the fusion-based methodology over singular data source approaches.

Originality/value
This research is distinguished by its novel fusion-based approach to predictive maintenance, marking a departure from conventional single-source data analysis methods. By incorporating both time-series sensor data and textual event logs, the study unveils a comprehensive and effective strategy for fault prediction, paving the way for future advancements in the field.