bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cell proliferation and Notch signaling coordinate the formation of epithelial folds in theDrosophilaleg
Authors: Rodríguez Alonso , Córdoba Sergio , Felipe-Cordero Daniel , Baonza Antonio , Miguez David , Estella Carlos 
Published: September 2023

SummaryThe formation of complex three-dimensional organs during development requires the precise coordination between patterning networks and mechanical forces. In particular, tissue folding is a crucial process that relies on a combination of local and tissue-wide mechanical forces. Here, we investigate the contribution of cell proliferation to epithelial morphogenesis using theDrosophilaleg tarsal folds as a model. We reveal that tissue-wide compression forces generated by cell proliferation, in coordination with Notch signaling pathway, are essential for the formation of epithelial folds in precise locations along the proximo-distal axis of the leg. As cell numbers increase, compressive stresses arise, promoting the buckling of the epithelium and reinforcing the apical constriction of invaginating cells. Additionally, the Notch targetdysfusion(dysf) plays a key function specifying the location of the folds, through the apical accumulation of F-actin and the apico-basal shortening of invaginating cells. These findings provide new insights into the intricate mechanisms involved in epithelial morphogenesis, highlighting the critical role of tissue-wide forces in shaping a three-dimensional organ in a reproducible manner.
Adoption of the digitalised last planner system in infrastructure projects: an Australian case study
Authors: Gao Shang , Chan Toong-Khuan , Hendy Phil 
Published: September 2023

Purpose
Infrastructure projects are complex, task-based endeavours; the reliability of project schedules is often low, as delays occur. As a result, the infrastructure sector is constantly searching for innovative practices that might improve project performance. This study aims to pursue one research question: what are the benefits and challenges to last planner system (LPS) implementation in Australia’s infrastructure industry? It addresses this question through an examination of two rail infrastructure projects in Victoria, Australia.

Design/methodology/approach
The state of Victoria in Australia provides an excellent context for this study. The study was set in one of the programme alliances which was contracted to carry out five level-crossing removal projects. This study uses a combination of qualitative and quantitative research techniques, including surveys, interviews and site visits. The authors collected 43 valid survey responses. Additionally, 19 participants from the alliance programme’s two projects (Projects A and B) took part in the interviews. Extensive empirical evidence has been triangulated to achieve the research goals.

Findings
The findings show through the questionnaire survey that the greatest benefits that digital LPS brings are primarily associated with process improvement and social benefits. The interview results acknowledged that the roll-out of digital LPS had a positive impact on schedules, cost, occupational health and safety (OHS) and quality performance. The research also noted a few challenges in the introduction of digital LPS. Overall, the finding presents strong evidence that the introduction of digital LPS has been a clear success in the case company.

Originality/value
This is the first piece of research to fill this major gap in the LPS literature by exploring the issue of digital LPS adoption in Australia’s infrastructure sector. This study has thus laid the foundation for future work on LPS research in the Australian context. The authors are optimistic that this exploratory work will generate interest across other alliances, and perhaps extend into Australia’s construction sector.
A BIM based tool for evaluating building renovation strategies: the case of three demonstration sites in different European countries
Authors: Doukari Omar , Kassem Mohamad , Scoditti Enrico , Aguejdad Rahim , Greenwood David 
Published: September 2023

Purpose
Buildings are among the biggest contributors to environmental impacts. To achieve energy-saving and decarbonisation objectives while also improving living conditions, it is imperative to undertake large-scale renovations of existing buildings, which constitute the greater part of building stock and have relatively low energy efficiency. However, building renovation projects poses significant challenges owing to the absence of optimised tools and methods for planning and executing renovation works, coupled with the need for a high degree of interaction with occupants.

Design/methodology/approach
This paper describes the development of an automated process, based on building information modelling (BIM) and the principal component analysis method, for overcoming building renovation challenges. The process involves the assessment and simulation of renovation scenarios in terms of duration, cost, effort needed and disruptive potential. The proposed process was tested in three case studies; multi-residence apartment buildings comprising different construction components and systems, located in Greece, France and Denmark, on which six different renovation strategies were evaluated using sensitivity analysis.

Findings
The developed tool was successfully able to model and simulate the six renovation scenarios across the three demonstration sites. The ability to simulate various renovation scenarios for a given project can help to strategise renovation interventions based on selected key performance indicators as well as their correlation at two different levels: the building level and the renovated surface area level.

Originality/value
The objectives of this paper are twofold: firstly, to present an automated process, using BIM, for evaluating and comparing renovation scenarios in terms of duration, cost, workers needed and disruptive potential; next, to show the subsequent testing of the process and the analysis of its applicability and behaviour when applied on three live demonstration sites located in three different European countries (France, Greece and Denmark), involving six renovation scenarios.
Rise of fsQCA in tourism and hospitality research: a systematic literature review
Authors: Kumar Satish , Sahoo Saumyaranjan , Ali Faizan , Cobanoglu Cihan 
Published: September 2023

Purpose
The purpose of this review paper is to address the need for mapping the thematic structure of fuzzy-set qualitative comparative analysis (fsQCA) in the context of tourism and hospitality research, in response to the growing interest in this methodology.

Design/methodology/approach
This study conducts a comprehensive systematic review using the SPAR-4-SLR procedure to produce a scientific map of top-tier research using the fsQCA technique in tourism and hospitality studies.

Findings
A major finding of this review investigation is the identification of six knowledge clusters: business competitiveness in the hospitality sector; psychoanalysis of tourist behaviour and satisfaction; entrepreneurship in the tourism and hospitality sector; tourism business ecosystem; sustainable tourism; and service quality in the tourism and hospitality sectors.

Research limitations/implications
Although this review assessment relied heavily on articles published in prestigious journals, it does not rule out the idea that other sources, such as conference proceedings, can provide valuable insight.

Originality/value
Novel insights into the intellectual structure of tourism and hospitality research using the fsQCA technique, as well as ideas for future exploration in this domain, are presented in this review.
Research on the suitability of telework in the context of COVID-19
Authors: Han Zhen , Zhao Yuheng , Chen Mengjie 
Published: September 2023

PurposeCoronavirus disease 2019 (COVID-19) has made telecommuting widely valued, but different individuals have different degrees of acceptance of telecommuting. This article aims to identify suitable individuals for telework and to clarify which types of workers are suitable for what level of telework, set scientific, reasonable hybrid work ratios and processes and measure their suitability.Design/methodology/approachFirst, two working scenarios of different risk levels were established, and the theory of planned behavior (TPB) was used to introduce latent variables, constructing a multi-indicator multi-causal model (MIMIC) to identify suitable individuals, and second, constructing an integrated choice and latent variable (ICLV) model of the working method to determine the suitability of different types of people for telework by calculating their selection probabilities.FindingsIt is possible to clearly distinguish between two types of suitable individuals for telework or traditional work. Their behavior is significantly influenced by the work environment, which is influenced by variables such as age, income, attitude, perceived behavioral control, work–family balance and personnel exposure level. In low-risk scenarios, the influencing factors of the behavioral model for both types of people are relatively consistent, while in high-risk scenarios, significant differences arise. Furthermore, the suitability of telework for the telework-suitable group is less affected by the pandemic, while the suitability for the non-suitable group is greatly affected.Originality/valueThis study contributes to previous literature by: (1) determining the suitability of different population types for telework by calculating the probability of selection, (2) dividing telework and traditional populations into two categories, identifying the differences in factors that affect telework under different epidemic risks and (3) considering the impact of changes in the work scenario on the suitability of telework for employees and classifying the population based on the suitability of telework in order to avoid the potential negative impact of telework.
How brick-and-mortar retailers and grocery delivery platforms influence purchase intention?
Authors: Zhao Yunyun , Zhao Xiaoyu , Liu Yanzhe 
Published: September 2023

PurposeConsumers worldwide are increasingly ordering groceries from grocery delivery platforms (GDPs). This study aimed to explore the role of brick-and-mortar (B&M) retailers and GDPs in online grocery shopping (OGS) experience, attitude and continuous purchase intention under the platform model of online grocery retailing.Design/methodology/approachThis study used a mixed method approach. A qualitative analysis was conducted based on 30 in-depth interviews and relevant literature to identify key attributes of the OGS experience. Then, data from 352 online grocery shoppers was used to examine the associations between service attributes, attitude and continuous purchase intention using a structural equation model.FindingsThe authors identified six key attributes of the OGS experience related to B&M retailers and GDPs. The quantitative study results showed that customer service, price value and instant delivery significantly impact attitude towards GDPs, while product quality, product assortment, customer service, price value and attitude toward GDPs positively impact online attitude toward B&M retailers. Online attitude toward B&M retailers significantly influences continuous purchase intention.Practical implicationsB&M retailers and GDPs should strengthen cooperation and joint oversight.Originality/valueThis study identified key attributes of the OGS experience associated with B&M retailers and GDPs under the platform model, giving a comprehensive understanding of the relationship between the OGS experience and behavioural intention when B&M retailers collaborate with GDPs.
The relationship between board gender diversity and audit quality in Egypt
Authors: Abdel-Meguid Ahmed , Abuzeid Mostafa , El-Helaly Moataz , Shehata Nermeen 
Published: September 2023

PurposeThis paper aims to examine whether female representation on boards is significantly associated with audit fees paid by top Egyptian listed companies.Design/methodology/approachThe authors collect data on audit fees, board of directors' characteristics and financial data for the top 100 companies listed on the Egyptian Exchange (EGX100) for a period of six years. The authors employ an ordinary least squares regression model to capture the relationship between board diversity (i.e. the proportion of female board directors) and the natural logarithm of audit fees while controlling for firm and industry fixed effects as well as other known firm characteristics.FindingsThe authors find that audit fees are significantly associated with the proportion of females serving on firms' boards of directors. The findings suggest a complementary relationship between females on boards, as a quality-enhancing board attribute; and audit fees, as a proxy for audit effort and audit quality.Research limitations/implicationsLimitations of this study arise first from the relatively small sample size, and second from the fact that inferences may be specific to the Egyptian context and similar markets.Practical implicationsThe results have important implications for Egyptian policy makers and regulators in terms of board composition.Social implicationsThis study provides empirical evidence that further enforces the business case for women's empowerment and the impact of this on the effectiveness of corporate governance.Originality/valueTo the best of the authors’ knowledge, this is the first archival study to examine the association between female board representation and audit fees in Egypt.
The interplay of financial reporting quality and investment efficiency: evidence from the USA
Authors: Assad Nedal , Jaafar Aziz , Zervopoulos Panagiotis D. 
Published: September 2023

Purpose
This study aims to comprehensively examine the relationship between financial reporting quality (FRQ) and investment efficiency (IE). The central thrust of this research endeavor is to empirically analyze the impact of FRQ on diverse facets of investment, including overinvestment, underinvestment and overall IE.

Design/methodology/approach
Using a sample of 13,902 firm-year observations from publicly listed US companies, this study uses the generalized method of moment (GMM) in conjunction with three distinct measures for FRQ under three different investment settings, considering firm liquidity and industry performance.

Findings
This study offers interesting insights into the intricate relationship between FRQ and IE. The results indicate a strong positive relation between the two constructs. In particular, the research reveals a negative link between FRQ and underinvestment, and an inverse relationship between FRQ and overinvestment. These findings suggest that FRQ is one of the key drivers of IE and that by enhancing FRQ, businesses can better optimize their investments.

Practical implications
This study highlights the significant implication of the effect of FRQ on IE, as it enables businesses to optimize their investments by improving their decision-making processes and better risk assessment of associated projects, resulting in more efficient capital allocation. A higher degree of FRQ increases investors’ confidence in a company’s financial statements, resulting in higher liquidity. It can benefit regulators to set higher standards and promote transparency.

Originality/value
The study examines the relationship between FRQ and IE. The study finds a strong positive relation between FRQ and IE, with FRQ being a key driver of IE. The paper’s original contribution lies in its comprehensive examination of the complex relationship between FRQ and IE, using robust analytical techniques by applying GMM and taking into consideration firms liquidity and industry performance.
Do monetary policy credibility and disagreements in inflation and interest rate expectations affect business confidence? Evidence from an inflation targeting developing country
Authors: Montes Gabriel Caldas , Díaz Raime Rolando Rodríguez 
Published: September 2023

PurposeBusiness confidence is crucial to firm decisions, but it is deeply related to professional forecasters' expectations. Since Brazil is an important inflation targeting country, this paper investigates whether monetary policy credibility and disagreements in inflation and interest rate expectations relate to business confidence in Brazil. The study considers the aggregate business confidence index and the business confidence indexes for 11 industrial sectors in Brazil.Design/methodology/approachThe authors run ordinary least squares and generalized method of moments regressions to assess the direct effects of disagreements in expectation and monetary policy credibility on business confidence. The authors also make use of Wald test of parameter equality to observe whether there are “offsetting effects” of monetary credibility in mitigating the effects of both disagreements in expectations on business confidence. Besides, the authors run quantile regressions to analyze the effect of the main explanatory variables of interest on business confidence in contexts where business confidence is low (pessimistic) or high (optimistic).FindingsDisagreements in inflation expectations reduce business confidence, monetary policy credibility improves business confidence and credibility mitigates the adverse effects of disagreements in expectations on business confidence. The sectors most sensitive to monetary policy credibility are Rubber, Motor Vehicles, Metallurgy, Metal Products and Cellulose. The findings also suggest the effect of disagreement in inflation expectations on business confidence decreases as confidence increases, and the effect of monetary policy credibility on business confidence increases as entrepreneurs are more optimistic.Originality/valueWhile there is evidence that monetary policy credibility is beneficial to the economy, there are no studies on the effects of disagreements in inflation and interest rate expectations on business confidence (at the aggregate and sectoral levels). Besides, there are no studies that have investigated whether monetary policy credibility can mitigate the effects of disagreements in inflation and interest rate expectations on business confidence (at the aggregate and sectoral levels). Therefore, there are gaps to be filled in the literature addressing business confidence, monetary policy credibility and disagreements in expectations. These issues are particularly important to inflation targeting developing countries.
Multi-level outcomes of learning organisation: a bibliometric analysis and future research agenda
Authors: Budhiraja Sunil , Yadav Mohini , Rathi Neerpal 
Published: September 2023

PurposeBecoming a learning organisation (LO) is an aspiration for every organisation as it offers internal capabilities, a competitive advantage and synergy gains to organisational members. Scholars across the globe have tried to examine the outcomes of LO at various organisational levels. Still, the existing literature is fragmented, and there is no systematic understanding of the multi-level outcomes of LO. Therefore, this study aims to synthesise, analyse and categorise the scientific literature into various levels of outcomes of LO to provide a conceptual framework for use by future researchers and academicians.Design/methodology/approachThe authors have performed bibliometric analysis using 603 research articles published in Scopus, entailing 1,345 authors from 77 countries, followed by a thematic cluster analysis using bibliographic coupling to understand the current research trends and to recommend a set of broad themes to provide direction for future researchers in this domain.FindingsThe results are largely descriptive and aim to capture a panoramic view of what has been written on the topic so far. The bibliometric analysis was conducted using different means like citation analysis, cluster analysis, and keyword analysis to reveal the most significant publications, notable authors, keywords, current research trends, and future research questions. Further, the bibliographic coupling led to the categorization of the outcomes of LO into the following four clusters (including sub-clusters): (1) Individual level learning outcomes (2) team-level learning outcomes, (3) organisational-wide learning outcomes and (4) inter-organisational learning outcomes.Practical implicationsManagers and practitioners (change agents) expect academicians and researchers to suggest a set of actions that integrates their learning efforts with business performance across diverse sectors and industries. So, future researchers may try and explain the findings of seminal studies identified in the most cited documents, to design choices and trade-offs that may address major hindrances in implementing the construct in true spirit. The researchers may collaborate with practitioners to study the outcomes of LO with a scientific and empirical lens. Finally, the study invites change agents and organisation development (OD) practitioners to document the outcomes of their efforts to create and leverage the outcomes of LO.Originality/valueResearchers across the world have tried to examine the outcomes of LO at various levels in organisational setting including, measuring capabilities and attitudes at individual level, team capabilities and innovation, and organisational performance and sustainability, but still there is no tested conceptual framework which encompasses the various outcome levels of LO in one frame.
Results from an effectiveness evaluation of anti-bias training on police behavior and public perceptions of discrimination
Authors: James Lois , James Stephen , Mitchell Renée Jean 
Published: September 2023

PurposeThe authors evaluated the impact of an anti-bias training intervention for improving police behavior during interactions with community members and public perceptions of discrimination.Design/methodology/approachFifty patrol officers from a diverse municipal agency were randomly selected to participate in an anti-bias intervention. Before and after the intervention, a random selection of Body Worn Camera (BWC) videos from the intervention group as well as from a control group of officers was coded using a validated tool for coding police “performance” during interactions with the public. Discrimination-based community member complaints were also collected before and after the intervention for treatment and control group officers.FindingsThe treatment group had a small but significant increase in performance scores compared to control group officers, F = 4.736, p = 0.009, R2ß < 0.01. They also had a small but significantly reduced number of discrimination-based complaints compared to control group officers, F = 3.042, p = 0.049, p2 = 0.015. These results suggest that anti-bias training could have an impact on officer behaviors during interactions with public and perceptions of discrimination.Originality/valueAlthough these results are from a single municipal police department, this is the first study to suggest that anti-bias trainings may have a positive behavioral impact on police officers as well as the first to illustrate the potential for their impact on community members' perceptions of biased treatment by officers.