bluuebunny/crossref_metadata_2025_split huggingface dataset:
Unified solution of some problems of rectangular plates with four free edges based on symplectic superposition method
Authors: Su Xin , Bai Eburilitu , Hai Guojun 
Published: July 2023

PurposeA unified framework for solving the bending, buckling and vibration problems of rectangular thin plates (RTPs) with four free edges (FFFF), including isotropic RTPs, orthotropic rectangular thin plates (ORTPs) and nano-rectangular plates, is established by using the symplectic superposition method (SSM).Design/methodology/approachThe original fourth-order partial differential equation is first rewritten into Hamiltonian system. The class of boundary value problems of the original equation is decomposed into three subproblems, and each subproblem is given the corresponding symplectic eigenvalues and symplectic eigenvectors by using the separation variable method in Hamiltonian system. The symplectic orthogonality and completeness of symplectic eigen-vectors are proved. Then, the symplectic eigenvector expansion method is applied to solve the each subproblem. Then, the symplectic superposition solution of the boundary value problem of the original fourth-order partial differential equation is given through superposing analytical solutions of three foundation plates.FindingsThe bending, vibration and buckling problems of the rectangular nano-plate/isotropic rectangular thin plate/orthotropic rectangular thin plate with FFFF can be solved by the unified symplectic superposition solution respectively.Originality/valueThe symplectic superposition solution obtained is a reference solution to verify the feasibility of other methods. At the same time, it can be used for parameter analysis to deeply understand the mechanical behavior of related RTPs. The advantages of this method are as follows: (1) It provides a systematic framework for solving the boundary value problem of a class of fourth-order partial differential equations. It is expected to solve more complicated boundary value problems of partial differential equations. (2) SSM uses series expansion of symplectic eigenvectors to accurately describe the solution. Moreover, symplectic eigenvectors are orthogonal and directly reflect the orthogonal relationship of vibration modes. (3) The SSM can be carried to bending, buckling and free vibration problems of the same plate with other boundary conditions.
The neoliberalization of Indian business schools: how accreditation-linked institutional pressures shape academic subjectivities
Authors: Kumar Ritesh , Prasad Ajnesh 
Published: July 2023

PurposeThis study revisits the discourse on the neoliberalization of business schools and explores how accreditation-linked institutional pressures catalyze cultural change that adversely impact academic labor and academic subjectivities in the Global South.Design/methodology/approachThis study is based on in-depth semi-structured interviews with academics from elite business schools in India.FindingsThis study shows how academics encounter institutional pressures in Indian business schools. Three major themes emerged from the data: (1) the conception of the ideal academic that existed before accreditation, (2) how the conception of the ideal academic was fundamentally transformed during and after accreditation, and (3) the challenges academics experienced in achieving the performance targets introduced by accreditation-linked institutional pressures.Originality/valueThis study offers two contributions to the extant literature on business schools located in the Global South: (1) it illustrates how organizational changes within business schools in India are structured by accreditation-linked institutional pressures coming from the Global North, and (2) it adds to the growing body of work on neoliberal governmentality by highlighting the implications of accreditation-liked institutional pressures on academic subjectivities.
Building a community of allies and upstanders: UsingThe Assignmentto disrupt hate, bias and antisemitism
Authors: Koss Melanie D. , Greenblatt Deborah 
Published: July 2023

PurposeRecognizing that hate crimes and antisemitic attacks are increasing, the purpose of this article is to discuss waysThe Assignmentby Liza Wiemer, a contemporary young adult novel that depicts curriculum violence and its effects on students, acts as a “disruptor” in young adult literature. The authors present a rationale for using young adult literature on The Holocaust in high school classrooms to challenge the status quo and identify ways to become upstanders in the face of hate.Design/methodology/approachThrough a content analysis using a critical literacy framework, the authors analyzedThe Assignmentfor pedagogical ways to use the novel to challenge educators and students to examine and rethink how they feel about hate, bias and antisemitism.FindingsFour ways the novel can be used as a disrupter were identified: text structure and language, pedagogical practices and curriculum violence, the student/peer/authority figure power dynamic and challenging accepted beliefs that can lead to bias, hate and antisemitism.Practical implicationsAlthough all individuals can be impacted by hate and antisemitism, this article focuses on young adults as they are the novel’s target audience. However, the authors believe people of all ages have the potential to disrupt societal practices and become upstanders and suggest ideas in this article be applied broadly to other novels and teaching situations.Originality/valueA focus is on the ways the novel can build a community of allies and upstanders – students as agents of change rather than complacent bystanders. As bias, hate and antisemitism are on the rise, this article presents a unique way to combat it through literature and critical discussion.
Gender disparities in financial resilience: insights from South Africa
Authors: Zeka Bomikazi , Alhassan Abdul Latif 
Published: July 2023

PurposeWhile the extant literature has explored issues related to the access, usage and availability of financial services, the ability of households to withstand financial adversities, particularly those living under economically vulnerable conditions, requires further attention. The paper presents a gendered analysis of financial resilience behaviour in South Africa.Design/methodology/approachUsing a nationally representative sample of 4,880 households, this paper constructs a financial resilience behaviour index (FRBI) covering savings, credit, insurance, and retirement planning behaviours. The gendered effect of demographic characteristics on financial resilience is examined using the ordinary least square and seemingly unrelated regression techniques.FindingsThe results show that low levels of financial resilience were present across the sample with insurance observed to be the greatest driver of financial resilience, followed by retirement planning, savings and credit respectively. Furthermore, the analysis highlights that a gender gap in financial resilience exists as men are characterized with higher financial resilience behaviour compared to women. The results also suggest that employed women and women with higher levels of education are associated with greater financial resilience.Practical implicationsBased on these results, improving access to higher education and employment opportunities for women will enhance their financial resilience and contribute towards addressing SDG (5) on gender equality.Originality/valueAs far as the authors are aware, this paper presents the first empirical analysis of the gender gaps in socio-demographic characteristics that explain financial resilience in South Africa.
Living with water: quantitative assessment of property-level resilience to urban flooding
Authors: Amadi Alolote , Adeniyi Onaopepo 
Published: July 2023

Purpose
This paper aims to quantitively assess the resilience of residential properties to urban flooding in Port Harcourt, Nigeria, and assess whether they vary at spatially aggregated scales relative to the level of flood exposure.

Design/methodology/approach
The study synthesizes theoretical constructs/indicators for quantifying property level resilience, as a basis for measuring resilience. Using a two-stage purposive/stratified randomized sampling approach, 407 questionnaires were sent out to residents of 25 flood-prone areas, to solicit information on the resilience constructs as indicated by the adaptation behaviors of individual households and their property attributes. A principal component analysis approach is used as a mechanism for weighting the indicators, based on which aggregated spatial-scale resilience indices were computed for the 25 sampled areas relative to their levels of flood exposure.

Findings
Area 11 located in the moderate flood zone has the lowest resilience index, while Area 20 located in the high flood zone has the highest resilience index. The resilience indices for the low, moderate and high flood zone show only minimal and statistically insignificant differences indicating maladaptation even with incremental levels of flood exposure.

Practical implications
The approach to resilience measurement exemplifies a reproducible lens through which the concept of “living with floods” can be holistically assessed at the property level while highlighting the nexus of the social and technical dimensions.

Originality/value
The study moves beyond theoretical conceptualization, to empirically quantify the complex concept of property-level flood resilience.
Investment decisions determinants in the GCC cryptocurrency market: a behavioural finance perspective
Authors: Abdeldayem Marwan , Aldulaimi Saeed 
Published: July 2023

PurposeThis study aims to investigate the impact of financial and behavioural factors on investment decisions in the cryptocurrency market within the Gulf Cooperation Council (GCC).Design/methodology/approachThe study uses the cross-sectional absolute deviation methodology developed by Changet al.(2000) to determine the existence of herding behaviour during extreme conditions in the cryptocurrency market of four GCC countries: Bahrain, Saudi Arabia, Kuwait and UAE. In addition, a questionnaire survey was distributed to 322 investors from the GCC cryptocurrency markets to gather data on their investment decisions.FindingsThe study finds that the herding theory, prospect theory and heuristics theory account for 16.5% of the variance in investors' choices in the GCC cryptocurrency market. The regression analysis results show no multicollinearity problems, and a highF-statistic indicates the general model's acceptability in the results.Practical implicationsThe study's findings suggest that behavioural and financial factors play a significant role in investors' choices in the GCC cryptocurrency market. The study's results can be used by investors to better understand the impact of these factors on their investment decisions and to develop more effective investment strategies. In addition, the study's findings can be used by policymakers to develop regulations that consider the impact of behavioural and financial factors on the GCC cryptocurrency market.Originality/valueThis study adds to the body of literature in two different ways. Initially, motivated by earlier research examining the impact of behaviour finance factors on investment decisions, the authors look at how the behaviour finance factors affect investment decisions of the GCC cryptocurrency market. To extend most of these studies, this study uses a regime-switching model that accounts for two different market states. Second, by considering the recent crisis and more recent periods involving more cryptocurrencies, the authors have contributed to several studies examining the impact of behavioural financial factors on investment decisions in cryptocurrency markets. In fact, very few studies have examined the impact of behavioural finance on cryptocurrency markets. Therefore, to the best of the authors’ knowledge, this study is the first of its kind to investigate how behavioural finance factors influence investment decisions in the GCC cryptocurrency market. This allows to better illuminate the factors driving herd behaviour in the GCC cryptocurrency market.
Factors causing delays in the UAE construction industry amid the Covid-19 pandemic
Authors: Alajmani Haitham , Ahmed Salma , El-Sayegh Sameh Monir 
Published: July 2023

Purpose
This paper aims to measure the severity, frequency and importance of the factors causing delays in the United Arab Emirates (UAE) construction industry following the Covid-19 pandemic onset. The study also measures the likelihood of the effects caused by these delays.

Design/methodology/approach
A mixed approach of both qualitative and quantitative. Literature review was conducted to extract 40 factors of delays and 10 effects of delays. A survey was then administered to construction professionals in the UAE to collect the perceptions on the severity and frequency of factors of the causes of delays using a Likert Scale of 1–5 where 1 represented very low and 5 represented very high. Similarly, the respondents were also asked to rate the likelihood of the occurrence of the effects of the delays based on a Likert scale of 1–5 as well. Furthermore, Spearman’s rank correlation was also conducted to compute the level of agreement between the different parties; owner, consultants and contractors.

Findings
The results revealed that the top five factors of delays include: award the project for the lowest bidder, delay in progress payment, change orders by the owner, poor subcontractor performance and inadequate planning and scheduling by the contractor. The findings of this study emphasize the financial challenges and economic crisis brought upon the construction industry due to the pandemic. Furthermore, the pandemic also shifted the perceptions of construction professionals, who are now more aware of the delays caused by awarding the project to the lowest bidder who would not have the required qualifications to conduct efficient planning and scheduling that are relevant in the case of extraordinary events such as Covid-19. Moreover, a high level of agreement between the consultants and contractors was observed, with a Spearman’s rank correlation of 0.804. Additionally, the most likely effects of delays concluded from this study were time overrun/extension and poor quality of work.

Originality/value
Literature review is very rich in the field of construction projects delays. However, there is very limited research on the impact of Covid-19 in the context of construction projects delays, and insights from construction professionals regarding this matter are particularly lacking in literature. Therefore, this paper bridges the gap in literature by providing perceptions of construction professionals on the impact of Covid-19 on the factors causing delays in the UAE construction industry. The findings of this research are expected to be an invaluable resource for future to help the construction industry heal faster when encountering similar epidemics or extraordinary events.
Value relevance of audit opinions in an emerging market: evidence from Morocco
Authors: El Badlaoui Amine , Cherqaoui Mariam 
Published: July 2023

Purpose
This paper aims to determine whether audit opinions in Morocco, an emerging market, are value relevant to the stock market, through the investigation of the market reaction to the issuance of modified audit opinions (MAOs).

Design/methodology/approach
The event study approach is used. The data are derived from the financial reports of listed companies on the Casablanca Stock Exchange over a period of 10 years from 2010 to 2019.

Findings
This paper does not find evidence that the market reacts to the issuance of MAOs when grouped together. When partitioning the sample by types, there is an evidence of a stock market reaction to qualified audit opinions and the qualified audit opinions with observation paragraph when they are combined with a negative variation of earnings per share. Examination of the impact of different natures of qualifications shows no consistent results and that the market does not distinguish between natures of qualifications.

Research limitations/implications
These results may be due to the fact that some investors have information about the audit opinion long before it is made public, due to privileged access to audit opinions, or that investors underestimate audit opinions relative to other financial indicators.

Originality/value
This study contributes to the existing literature by investigating an emerging market, not previously tested, after the introduction of several regulatory reforms in Moroccan market aimed at enhancing transparency in financial reporting. It refines the market reaction models used in previous studies by using both ordinary least squares and the Scholes–Williams techniques that correct for the effect of thin trading on the market index. In addition, special attention is given to studying the market reaction to each type of MAOs and to each natures of qualifications.
Inverse data envelopment analysis optimization approaches with flexible measures
Authors: Jahani Sayyad Noveiri Monireh , Kordrostami Sohrab , Ghiyasi Mojtaba 
Published: July 2023

Purpose
The purpose of this study is to estimate inputs (outputs) and flexible measures when outputs (inputs) are changed provided that the relative efficiency values remain without change.

Design/methodology/approach
A novel inverse data envelopment analysis (DEA) approach with flexible measures is proposed in this research to assess inputs (outputs) and flexible measures when outputs (inputs) are perturbed on condition that the relative efficiency scores remain unchanged. Furthermore, flexible inverse DEA approaches proposed in this study are used for a numerical example from the literature and an application of Iranian banking industry to clarify and validate them.

Findings
The findings show that including flexible measures into the investigation effects on the changes of performance measures estimated and leads to more reasonable achievements.

Originality/value
The traditional inverse DEA models usually investigate the changes of some determinate input-output factors for the changes of other given input-output indicators assuming that the efficiency values are preserved. However, there are situations that the changes of performance measures should be tackled while some measures, called flexible measures, can play either input or output roles. Accordingly, inverse DEA optimization models with flexible measures are rendered in this paper to address these issues.
Real Estate Insights Unleashing the potential of ChatGPT in property valuation reports: the “Red Book” compliance Chain-of-thought (CoT) prompt engineering
Authors: Cheung Ka Shing 
Published: July 2023

PurposeThis viewpoint article explores the transformative capabilities of large language models (LLMs) like the Chat Generative Pre-training Transformer (ChatGPT) within the property valuation industry. It particularly accentuates the pivotal role of prompt engineering in facilitating valuation reporting and advocates for adopting the “Red Book” compliance Chain-of-thought (COT) prompt engineering as a gold standard for generating AI-facilitated valuation reports.Design/methodology/approachThe article offers a high-level examination of the application of LLMs in real estate research, highlighting the essential role of prompt engineering for future advancements in generative AI. It explores the collaborative dynamic between valuers and AI advancements, emphasising the importance of precise instructions and contextual cues in directing LLMs to generate accurate and reproducible valuation outcomes.FindingsIntegrating LLMs into property valuation processes paves the way for efficiency improvements and task automation, such as generating reports and drafting contracts. AI-facilitated reports offer unprecedented transparency and elevate client experiences. The fusion of valuer expertise with prompt engineering ensures the reliability and interpretability of valuation reports.Practical implicationsDelineating the types and versions of LLMs used in AI-generated valuation reports encourage the adoption of transparency best practices within the industry. Valuers, as expert prompt engineers, can harness the potential of AI to enhance efficiency, accuracy and transparency in the valuation process, delivering significant benefits to a broad array of stakeholders.Originality/valueThe article elucidates the substantial impact of prompt engineering in leveraging LLMs within the property industry. It underscores the importance of valuers training their unique GPT models, enabling customisation and reproducibility of valuation outputs. The symbiotic relationship between valuers and LLMs is identified as a key driver shaping the future of property valuations.
The influence of subordinates' proactive personality, supervisors' I-deals on subordinates' affective commitment and occupational well-being: mediating role of subordinates' I-deals
Authors: Bhawna  , Sharma Sanjeev Kumar , Gautam Prashant Kumar 
Published: July 2023

PurposeThis study intends to investigate how an employee's proactive personality and a supervisor's idiosyncratic deals (i-deals) relate to their subordinates' affective commitment (AC) and occupational well-being (OWB), in light of the mediating role of subordinates' i-deals, using proactive motivation theory and the job demand–resource (JD-R) model as theoretical foundations.Design/methodology/approachThe study consisted of 342 employees working in the hospitality industry. To examine the proposed model, the researchers used the structural equation modelling approach and bootstrapping method in AMOS.FindingsThe results affirmed the influence of subordinates' proactiveness on AC and OWB, but no direct influence of supervisors' prior i-deals on subordinates' AC and OWB was established. When investigating the mediational role of subordinates' i-deals, a partial mediation effect was found between subordinates' proactive personality with AC and OWB, whereas full mediation was established between supervisors' i-deals and subordinates' AC and OWB.Practical implicationsThese findings shed light on how i-deals improve AC and OWB for both groups of supervisors and subordinates. In an era of increasing competition amongst organizations operating within the hospitality industry, i-deals serve as a human resource strategy to recruit, develop and retain talented individuals.Originality/valueThe novelty of this research lies in its specific investigation of the combined influence of proactive personality as an individual factor and supervisors' i-deals as an organizational factor on subordinates' i-deals within the context of the hospitality industry. Furthermore, it aims to analyse the potential impact of these factors on AC and OWB.