bluuebunny/crossref_metadata_2025_split huggingface dataset:
Street food consumer behaviour decoded: analysing decision-making styles, risk factors and the influential power of social media celebrities
Authors: Zhou Guanqi , Ali Saqib 
Published: February 2024

PurposeThis study aims to investigate consumer decision-making styles (CDMS) in the context of street food. In addition to the original CDMS constructs, two additional constructs, namely food safety risks and environmental risks, were included based on relevant literature. Furthermore, the study explores the moderating role of social media celebrities (SMCs) in bridging the intention-behaviour gap in street food consumption behaviour.Design/methodology/approachThe data were collected through an online survey, with 300 participants providing useable responses. Partial least squares (PLS) analysis was employed to analyse the data.FindingsThe findings indicate that out of the eight identified CDMS, six styles, specifically recreational (hedonistic shopping consciousness), price consciousness, novelty-seeking, impulsiveness, confusion due to over-choice and brand loyalty, significantly influence consumers' intention to consume street foods. Additionally, the results support the moderating role of SMCs. This suggests that the presence and influence of SMCs play a significant role in shaping consumers' intention and behaviours towards street food consumption.Originality/valueThis study contributes significantly to the literature by adding two additional constructs, namely safety risks and environmental risks in CDMS. Moreover, this study fulfils the intention-behaviour gap in street food literature by exploring the moderation effect of SMCs.
A predictive study on the impact of board characteristics on firm performance of Chinese listed companies based on machine learning methods
Authors: Huang Xin , Tang Ting , Luo Yu Ning , Wang Ren 
Published: February 2024

Purpose
This study aims to examine the impact of board characteristics on firm performance while also exploring the influential mechanisms that help Chinese listed companies establish effective boards of directors and strengthen their corporate governance mechanisms.

Design/methodology/approach
This paper uses machine learning methods to investigate the predictive ability of the board of directors' characteristics on firm performance based on the data from Chinese A-share listed companies on the Shanghai and Shenzhen stock exchanges in China during 2008–2021. This study further analyzes board characteristics with relatively strong predictive ability and their predictive models on firm performance.

Findings
The results show that nonlinear machine learning methods are more effective than traditional linear models in analyzing the impact of board characteristics on Chinese firm performance. Among the series characteristics of the board of directors, the contribution ratio in prediction from directors compensation, director shareholding ratio, the average age of directors and directors' educational level are significant, and these characteristics have a roughly nonlinear correlation to the prediction of firm performance; the improvement of the predictive ability of board characteristics on firm performance in state-owned enterprises in China performs better than that in private enterprises.

Practical implications
The findings of this study provide valuable suggestions for enriching the theory of board governance, strengthening board construction and optimizing the effectiveness of board governance. Furthermore, these impacts can serve as a valuable reference for board construction and selection, aiding in the rational selection of boards to establish an efficient and high-performing board of directors.

Originality/value
The study findings unequivocally demonstrate the superiority of nonlinear machine learning approaches over traditional linear models in examining the relationship between board characteristics and firm performance in China. Within the suite of board characteristics, director compensation, shareholding ratio, average age and educational level are particularly noteworthy, consistently demonstrating strong, nonlinear associations with firm performance. Within the suite of board characteristics, director compensation, shareholding ratio, average age and educational level are particularly noteworthy, consistently demonstrating strong, nonlinear associations with firm performance. The study reveals that the predictive performance of board attributes is generally more robust for state-owned enterprises in China in comparison to their counterparts in the private sector.
Herding behaviour and sentiment: evidence from emerging markets
Authors: Messaoud Dorra , Ben Amar Anis 
Published: February 2024

PurposeBased on the theoretical framework, this paper analyzes the sentiment-herding relationship in emerging stock markets (ESMs). First, it aims to examine the effect of investor sentiment on herding. Second, it seeks the direction of causality between sentiment and herding time series.Design/methodology/approachThe present study applies the Exponential Generalized Auto_Regressive Conditional Heteroskedasticity (EGARCH) model to capture the volatility clustering of herding on the financial market and to investigate the role of the investor sentiment on herding behaviour. Then the vector autoregression (VAR) estimation uses the Granger causality test to determine the direction of causality between the investor sentiment and herding. This study uses a sample consisting of stocks listed on the Shanghai Composite index (SSE) (348 stocks), the Jakarta composite index (JKSE) (118 stocks), the Mexico IPC index (14 stocks), the Russian Trading System index (RTS) (12 stocks), the Warsaw stock exchange General index (WGI) (106 stocks) and the FTSE/JSE Africa all-share index (76 stocks). The sample includes 5,020 daily observations from February 1, 2002, to March 31, 2021.FindingsThe research findings show that the sentiment has a significant negative impact on the herding behaviour pointing out that the higher the investor sentiment, the lower the herding. However, the results of the present study indicate that a higher investor sentiment conducts a higher herding behaviour during market downturns. Then the outcomes suggest that during the crisis period, the direction is one-way, from the investor sentiment to the herding behaviour.Practical implicationsThe findings may have implications for universal policies of financial regulators in EMs. We have found evidence that the Emerging investor sentiment contributes to the investor herding behaviour. Therefore, the irrational investor herding behaviour can increase the stock market volatility, and in extreme cases, it may lead to bubbles and crashes. Market regulators could implement mechanisms that can supervise the investor sentiment and predict the investor herding behaviour, so they make policies helping stabilise stock markets.Originality/valueThe originality of this paper lies in investigate the sentiment-herding relationship during the Surprime crisis and the Covid-19 epidemic in the EMs.
Does leading with inclusiveness promote innovative behaviours? Examining the role of work engagement and psychological safety
Authors: AlMunthiri Ohoud , Bani Melhem Shaker , Mohd Shamsudin Faridahwati , Al-Naqbi Shaikha Ali 
Published: February 2024

Purpose
Although the development of public organisations and the continual enhancement of public services depend on the creative behaviour of public employees, it is uncertain from earlier studies how and when inclusive leadership (IL) affects innovative behaviours (IB). This study aims to resolve the inconsistency in the literature by applying social exchange theory to examine the effect of inclusive leadership on employees’ innovative behaviour, while also examining the mediating role of work engagement and the moderating effect of psychological safety within this relationship.

Design/methodology/approach
The research model’s analysis draws from a data set of 200 employee–supervisor dyads. Data was collected from employees across diverse public sector organisations in the United Arab Emirates (UAE).

Findings
The results demonstrate that IL indirectly (via WE) and directly has a positive influence on employees’ IBs. This influence is enhanced when employees feel safe and do not have to be concerned about negative consequences.

Originality/value
Our study highlights a less-explored sector, unveiling the motivations behind IB among public sector employees. Moreover, this study provides valuable insights within a non-Western context, offering a unique perspective on the intricate relationship between IL, PS, employee engagement and IBs in the UAE public sector.
Agents’ context-specific conduct in making strategic investment decisions
Authors: Huikku Jari , Harris Elaine , Elmassri Moataz , Northcott Deryl 
Published: February 2024

Purpose
This study aims to explore how managers exercise agency in strategic investment decisions (SIDs) by drawing on their knowledgeability of the strategic context. Specifically, the authors address the role of position–practice relations and irresistible causal forces in this conduct.

Design/methodology/approach
The authors examine SID-making (SIDM) practices in four case organisations operating in highly competitive markets, conducting interviews with managers at various levels and analysing company documents. Drawing on strong structuration theory, the authors show how managerial decision makers draw upon their knowledge of organisational context when exercising agency in SIDs.

Findings
The authors provide insights into how SIDM behaviour, specifically agents’ conduct, is shaped by a combination of position–practice relations and the agents’ comprehension of their organisation’s context.

Research limitations/implications
The authors extend the SIDM literature by surfacing the issue of how actors’ conjuncturally-specific knowledge of external structures shapes the general dispositions they draw on in exercising agency in practice.

Originality/value
The authors extend the SIDM literature by surfacing the issue of how actors’ conjuncturally-specific knowledge of external structures shapes the general dispositions they draw on in exercising agency in practice. Particularly, the authors contribute to this literature by identifying irresistible causal forces and illuminating why actors might not resist in SIDM processes, despite having the potential to do so.
Stock price crash risk, liquidity and institutional blockholders: evidence from Vietnam
Authors: Nguyen Hang Thu , Nguyen Hao Thi Nhu 
Published: February 2024

PurposeThis study examines the influence of stock liquidity on stock price crash risk and the moderating role of institutional blockholders in Vietnam’s stock market.Design/methodology/approachCrash risk is measured by the negative coefficient of skewness of firm-specific weekly returns (NCSKEW) and the down-to-up volatility of firm-specific weekly stock returns (DUVOL). Liquidity is measured by adjusted Amihud illiquidity. The two-stage least squares method is used to address endogeneity issues.FindingsUsing firm-level data from Vietnam, we find that crash risk increases with stock liquidity. The relationship is stronger in firms owned by institutional blockholders. Moreover, intensive selling by institutional blockholders in the future will positively moderate the relationship between liquidity and crash risk.Practical implicationsSince stock liquidity could exacerbate crash risk through institutional blockholder trading, firm managers should avoid bad news accumulation and practice timely information disclosures. Investors should be mindful of the risk associated with liquidity and blockholder trading.Originality/valueWe contribute to the literature by showing that the activities of blockholders could partly explain the relationship between liquidity and crash risk. High liquidity encourages blockholders to exit upon receiving private bad news.
Investigating a multi-session virtual reality relaxation intervention for mental health staff: protocol for a feasibility and acceptability study
Authors: Martland Rebecca , Valmaggia Lucia , Paleri Vigneshwar , Steer Natalie , Riches Simon 
Published: February 2024

Purpose
Clinical staff working in mental health services experience high levels of work-related stress, burnout and poor well-being. Increased levels of stress, burnout, depression and anxiety and poorer mental well-being among health-care workers are associated with more sick days, absenteeism, lower work satisfaction, increased staff turnover and reduced quality of patient care. Virtual reality (VR) relaxation is a technique whereby experiences of pleasant and calming environments are accessed through a head-mounted display to promote relaxation. The purpose of this paper is to describe the design of a study that assesses the feasibility and acceptability of implementing a multi-session VR relaxation intervention amongst mental health professionals, to improve their relaxation levels and mental well-being.

Design/methodology/approach
The study follows a pre–post-test design. Mental health staff will be recruited for five weeks of VR relaxation. The authors will measure the feasibility and acceptability of the VR relaxation intervention as primary outcomes, alongside secondary outcomes evaluating the benefits of VR relaxation for mental well-being.

Findings
The study aims to recruit 20–25 health-care professionals working in both inpatient and specialist community mental health settings.

Originality/value
Research indicates the potential of VR relaxation as a low-intensity intervention to promote relaxation and reduce stress in the workplace. If VR relaxation is shown to be feasible and acceptable, when delivered across multiple sessions, there would be scope for large-scale work to investigate its effectiveness as an approach to enable health-care professionals to de-stress, relax and optimise their mental well-being. In turn, this may consequently reduce turnover and improve stress-related sick leave across health-care services.
The association of lifeline diet score (LLDS) with risk of irritable bowel syndrome: case-control study in adult men
Authors: Fateh Hawal Lateef 
Published: February 2024

Purpose
Irritable bowel syndrome (IBS) is a prevalent functional gastrointestinal disorder that significantly impacts the quality of life of affected individuals. Diet has been identified as a potential modifiable risk factor for IBS, yet its association with IBS risk in the Kurdish adult male population remains understudied. This case-control study aimed to investigate the association between the lifeline diet score (LLDS), a validated tool assessing overall diet quality and the risk of IBS in Kurdish adult men.

Design/methodology/approach
A total of 200 Kurdish adult men were recruited, comprising 100 IBS patients (cases) and 100 healthy controls without IBS. Medical records and interview questionnaires were used to confirm IBS diagnoses, while detailed dietary questionnaires were administered to assess participants’ dietary habits and calculate their respective LLDS scores. Logistic regression analysis was used to examine the association between LLDS and IBS risk, adjusting for potential confounding factors.

Findings
Participants with higher LLDS scores exhibited a significantly reduced risk of IBS compared to those with lower LLDS scores (OR= 0.38, 95% confidence intervals = 0.18–0.77; p <0.001). The association remained statistically significant even after controlling for potential confounders such as socioeconomic status, age, eating rate, protein, fat, physical activity and body mass index.

Originality/value
This case-control study demonstrates a significant inverse association between the LLDS and the risk of IBS in Kurdish adult men. Higher LLDS scores, indicative of a healthier and more balanced diet, were associated with a decreased risk of IBS. These findings highlight the potential role of dietary patterns in IBS prevention and management within the Kurdish adult male population.
In-situ quality inspection system of injection parts based on transfer learning
Authors: Yang Wenzhen , Shan Shuo , Jin Mengting , Liu Yu , Zhang Yang , Li Dongya 
Published: February 2024

Purpose
This paper aims to realize an in-situ quality inspection system rapidly for new injection molding (IM) tasks via transfer learning (TL) approach and automation technology.

Design/methodology/approach
The proposed in-situ quality inspection system consists of an injection machine, USB camera, programmable logic controller and personal computer, interconnected via OPC or USB communication interfaces. This configuration enables seamless automation of the IM process, real-time quality inspection and automated decision-making. In addition, a MobileNet-based deep learning (DL) model is proposed for quality inspection of injection parts, fine-tuned using the TL approach.

Findings
Using the TL approach, the MobileNet-based DL model demonstrates exceptional performance, achieving validation accuracy of 99.1% with the utilization of merely 50 images per category. Its detection speed and accuracy surpass those of DenseNet121-based, VGG16-based, ResNet50-based and Xception-based convolutional neural networks. Further evaluation using a random data set of 120 images, as assessed through the confusion matrix, attests to an accuracy rate of 96.67%.

Originality/value
The proposed MobileNet-based DL model achieves higher accuracy with less resource consumption using the TL approach. It is integrated with automation technologies to build the in-situ quality inspection system of injection parts, which improves the cost-efficiency by facilitating the acquisition and labeling of task-specific images, enabling automatic defect detection and decision-making online, thus holding profound significance for the IM industry and its pursuit of enhanced quality inspection measures.
A new method of smoothness‐constrained magnetotelluric modelling with the utility of Pareto‐optimal multi‐objective particle swarm optimization
Authors: Büyük Ersin 
Published: February 2024

AbstractParticle swarm optimization, one of the modern global optimization methods, is attracting widespread interest because it overcomes the difficulties of conventional inversion techniques, such as trapping at a local minimum and/or initial model dependence. The main characteristic of particle swarm optimization is the large search space of parameters, which in a sense allows the exploration of the entire objective function space if the input parameters are properly chosen. However, in the case of a high‐dimensional model space, the numerical instability of the solution may increase and lead to unrealistic models and misinterpretations due to the sampling problem of particle swarm optimization. Therefore, smoothness‐constrained regularization techniques used for the objective function or model reduction techniques are required to stabilize the solution. However, weighting and combining objective function terms is partly a subjective process, as the regularization parameter is generally chosen based on some kind of criteria of how the smoothing constraints affect the data misfits. This means that it cannot be completely predefined but needs to be adjusted during the inversion process, which begins with the response of an initial model. In this paper, a new modelling approach is proposed to obtain a smoothness‐constrained model from magnetotelluric data utilizing multi‐objective particle swarm optimization based on the Pareto optimality approach without using a regularization parameter and combining several objective function terms. The presented approach was verified on synthetic models and an application with field data set from the Çanakkale–Tuzla geothermal field in Turkey. Findings from these analyses confirm the usefulness of the method as a new approach for all constrained inversions of geophysical data without the need to combine the objective function terms weighted by a regularization parameter.
Student‐led activities of daily living group program in a hospital inpatient rehabilitation setting
Authors: Miller Dione , Mugridge Sarah , Elder Meagan , Holt Megan , Liu Karen P. Y. 
Published: February 2024

AbstractIntroductionOccupational therapists have vital roles in inpatient rehabilitation to focus on independence in activities of daily living. Occupational therapy interventions are uniquely designed to address goals of service users and can be delivered individually or in group formats. Group interventions promote service users' mutual support and enable therapists to increase frequency and intensity of service provision. Student‐led programs have become an attractive model, benefiting students while providing positive treatment outcomes for service users. There is an emerging body of literature that explores service users' and students' satisfaction with student‐led group models of practice within inpatient rehabilitation and occupational performance outcomes of service users participating in student‐led programs. This study aimed to explore the satisfaction of service users and students in addition to the self‐reported occupational performance outcomes of a student‐led activities of daily living group program in inpatient rehabilitation.MethodsData from 33 service users and seven students were collected retrospectively. The intervention involved a student‐led activities of daily living group program, consisting of three groups: breakfast, morning tea, and home readiness group. All service users and students completed unique satisfaction surveys at the conclusion of their participation in the student‐led program. Service users completed a self‐reported activities of daily living performance measure pre‐ and post‐program. Findings were reported in descriptive statistics, and pre‐ and post‐program data were compared with the Wilcoxon signed‐rank test.ResultsAll students were satisfied with the student‐led program. Majority of service users were satisfied with all components of the student‐led program. Median scores for self‐reported performance increased significantly following the student‐led program (P < 0.001).ConclusionThis study highlighted that service users and students were satisfied with the service delivery of a student‐led activities of daily living group program. The program was effective in addressing self‐reported performance for service users in inpatient rehabilitation. The findings from this study have potential to inform clinical practice on the implementation of student‐led programs in occupational therapy settings.
Low‐rise buildings in big cities: Theory and evidence from China
Authors: Yu Xiaolun 
Published: February 2024

AbstractThis article explores the determinants of floor area ratio (FAR) limit, a major form of construction density regulation, in China. I develop a spatial equilibrium framework to study local governments’ optimal FAR design and investigate over 400,000 residential land transactions between 2007 and 2019 to perform the empirical analysis. Exploiting the exogenous variations generated by administrative adjustments and applying a propensity score matching approach, I find that a one standard deviation increase in local budgetary revenue decreases FAR limits by 0.29. Further counterfactual analysis suggests that the land finance model contributes to housing affordability issues and spatial inequality in China.