bluuebunny/crossref_metadata_2025_split huggingface dataset:
Elucidating the presentation and identification of PTSD in autistic adults: a modified Delphi study
Authors: Rumball Freya , Parker Rachel , Madigan Ailbhe Elizabeth , Happe Francesca , Spain Debbie 
Published: December 2023

Purpose
Autistic individuals are at increased risk of trauma exposure and post-traumatic stress disorder (PTSD). Diagnostic overshadowing, however, often results in PTSD symptoms being mislabelled as autistic traits. This study aims to develop professional consensus on the identification and assessment of co-occurring PTSD in autistic adults.

Design/methodology/approach
An online modified Delphi design was used to gather professionals’ perspectives on key aspects of the identification and assessment of PTSD in autistic adults. Data were gathered qualitatively in Round 1 and then synthesised using content analysis into a list of statements that were rated in Round 2. Statements reaching 60–79% consensus and additional suggestions were sent out for rating in Round 3. Consensus for the final statement list was set at 80% agreement.

Findings
Overall, 108 statements reached consensus. These form the basis of professional-informed recommendations to facilitate the identification and assessment of PTSD symptoms in autistic adults.

Practical implications
The final Delphi statements provide a framework to assist with the assessment and recognition of traumatic stress reactions in autistic adults presenting to mental health, diagnostic or social services.

Originality/value
To the best of the authors’ knowledge, this is the first study to explore the presentation and identification of PTSD in autistic adults (with and without intellectual disability), using a bottom-up approach informed by professional consensus.
Motivation & stimulus as drivers of leisure travel: an empirical study of Indian female executives
Authors: Dasgupta Devashish , Singh Isha 
Published: December 2023

Purpose
This study aims to understand how female executive travellers should be characterized by inter-winning socio-economic segmentation and leisure travel motivation.

Design/methodology/approach
This study identifies push factors as a motivation for leisure travel among female executives in India. Quantitative research methodology was applied based on 892 online responses to a questionnaire. Principal component analysis was applied to identify the underlying dimensions of push motivational items.

Findings
The findings disclose five-factor dimensions of self-esteem; knowledge- and novelty-seeking; stimulus; escape; and self-recognition. Among the five identified dimensions, stimulus was the most important factor for motivating female executives to travel for leisure, followed by knowledge and novelty-seeking.

Research limitations/implications
This study was conducted on 1,100 female executive travellers, meaning the results are only valid for this cultural context. All data was collected through a referral chain network survey among female executives via Google survey forms. While segmenting types of travellers amongst females, usage of push motivation framework as a variable remains pervasive in tourism research.

Originality/value
Although literature on female travel motivation is abundant, however, to the authors’ knowledge, empirical studies that focus on female executives leisure travel motivations are still rare. These findings are, therefore, valuable for illuminating tourism stakeholders to cater this potential segment more customisedly.
Technical efficiency measurement in insurance companies by using the slacks-based measure (SBM-DEA) with undesirable outputs: analysis case study
Authors: Tayebi Abdallah , Lila Ayad , Cheikh Saous , Lutfi Bishr 
Published: December 2023

Purpose
The purpose of this study is to measure the technical efficiency of 20 Algerian insurance companies from 2016 to 2020, by using slacks-based measure (slacks-based measure [SBM] data envelopment analysis [DEA]) model. This research aims to provide a comprehensive assessment of this companies' efficiency, taking into account both the desirable and undesirable outputs.

Design/methodology/approach
The study uses a nonoriented, SBM model with the assumption of constant returns to scale to estimate the technical efficiency of commercial insurance companies over a five-year period. The inputs used are labor expense, agent expense and investments, while the outputs included are gross premiums and investment income as desirable outputs and gross claims as undesirable output.

Findings
Among 20 insurance companies evaluated, only 5 companies consistently achieved technical efficiency during the study period (Caisse Nationale de Mutualité Agricole [CNMA], MACIR, CARDIF, MUTUALISTE and AGLIC); so they represent the best practices in the Algerian insurance sector, with overall average of the technical efficiency is 81%. However, the reference sets analysis showed that CNMA and AGLIC had high robustness. Also, the results demonstrate the impact of ignoring the undesirable outputs on the accuracy of the assessment.

Research limitations/implications
The sample of the study consists of the active insurance companies in Algeria, based on the Annual Insurance Reports of Algeria; there are 20 companies as shown in the table. The data are taken from the annual reports of insurance companies during the 2020 period, issued by the Algerian Ministry of Finance.

Practical implications
The challenge for insurance company is how to find a balance between reducing claims paid and simultaneously improving the quality of insurance services. In fact, it is observed that studies evaluating their efficiency ignore claims in the analysis process. Therefore, the study highlights the importance of considering undesirable outputs within the DEA framework; this allows for a more accurate assessment of the company's performance and helps in improvement. Furthermore, although the insurance sector plays a crucial role, it has not received enough research attention compared to other financial sectors, especially in Arab and developing countries.

Originality/value
The literature on efficiency assessment in the insurance companies shows a lack of addressing undesirable outputs (such as claims) within the DEA framework; so this study aims at bridging this research gap. Also, the study provides an overview of the efficiency of Algerian insurance companies.
Is our scholarship elevating or hindering transformation and possibility? Conceptualizations of student organizations in higher education
Authors: Vue Rican , Arellano Jr Lucy , Jayakumar Uma Mazyck 
Published: December 2023

PurposeThis review addresses how student organizations are conceptually framed in the scholarly literature—organizations the authors referred to as “ethnicized student organizations” or “ESOs,” which include both Black Indigenous and People of Color (BIPOC) student organizations and ethnically white student organizations such as mainstream fraternities/sororities and clubs that are normalized as not having a racial/ethnic affiliation.Design/methodology/approachCritical race theory informs the analysis of 175 articles that address ESOs from 2002 to 2016.FindingsAnalysis revealed that a majority of scholarship conceptualizes ESOs in ways that can minimize the role of institutional whiteness where they are positioned as either serving or hindering both individual students and institutional goals. Findings also reveal a smaller body of literature that emphasized institutionalized power dynamics and honors the transformative work of BIPOC students through ESOs.Originality/valueDespite widespread public commitments to diversity among institutions, whiteness remains a core institutional presence. This study illustrates the relationships among student organizations, white supremacy and higher education transformation.
The next big thing: role of ChatGPT in personal knowledge management challenges and opportunities for knowledge workers across diverse disciplines
Authors: Nazeer Sumaira , Sumbal Muhammad Saleem , Liu Gang , Munir Hina , Tsui Eric 
Published: December 2023

Purpose
The purpose of this paper is to embark on evaluating the role of Chat Generative-Trained Transformer (ChatGPT) in personal knowledge management (PKM) practices of individual knowledge workers across varied disciplines.

Design/methodology/approach
The methodology involves four steps, i.e. literature search, screening and selection of relevant data, data analysis and data synthesis related to KM, PKM and generative artificial intelligence (AI) with a focus on ChatGPT. The findings are then synthesized to develop a viewpoint on the challenges and opportunities brought by ChatGPT for individual knowledge workers in enhancing their PKM capability.

Findings
This work highlights the prevailing challenges and opportunities experienced by knowledge workers while leveraging PKM through implying ChatGPT. It also encapsulates how some management theories back the cruciality of generative AI (specifically ChatGPT) for PKM.

Research limitations/implications
This study identifies the challenges and opportunities. from existing studies and does not imply empirical data/result. The authors believe that findings can be adjusted to diverse domains regarding knowledge workers’ PKM endeavors. This paper draws some conclusions and calls for further empirical research.

Originality/value
ChatGPT’s capability to accelerate organizational performance compelled scholars to focus in this domain. The linkage of ChatGPT to Knowledge Management is an under-explored area specifically the role of ChatGPT on PKM hasn't been given attention in the existing work. This is one of the earliest studies to explore this context.
Hiding operational problems that need to be revealed – a study linking environmental accidents and product recalls
Authors: Hardcopf Rick , Shah Rachna 
Published: December 2023

PurposeThis study investigates whether a firm that has experienced an environmental accident (EA) is less likely to conduct a product recall. If true, it would indicate that EAs tempt firms to hide operational problems that need to be revealed. The logic is that both events are operational failures that damage a firm's reputation and share price. Following an EA, a firm may avoid a discretionary product recall to avoid providing additional evidence of operational incapability and social irresponsibility and thereby triggering amplified reputational and market penalties.Design/methodology/approachThe dataset is compiled from several public and private sources and includes 4,355 product recalls, 153 EAs and 120 firms from the industries that often recall products, including automotive, pharma, medical device, food and consumer products. The study timeframe is 2002–2013. Empirical models are evaluated using hazard modeling.FindingsResults show that EAs reduce the probability of a product recall by 32%, on average. Effect sizes are larger when accidents are more frequent or more severe and when recalls are less severe. Through post hoc analyses, the study finds support for the proposed mechanism that firms avoid recalls due to reputational concerns, provides evidence that EAs can have a lengthy impact on recall behavior, and shows that firms are more likely to avoid recalls managed by the CPSC and NHTSA than recalls managed by the FDA.Originality/valuePrior studies in operations management (OM) have not examined the impact of one negative event on another. This study finds that EAs tempt firms to hide operational problems that need to be revealed. While recalling fewer defective products is of concern to consumers and regulators, should EAs influence a broader set of discretionary operational decisions, such as closing/relocating a production facility, outsourcing production or conducting a layoff, study implications increase significantly.
Wealth effects of firm's strategic technology investments: evidence from Ethereum blockchain
Authors: Smith Kane , Gupta Manu , Prakash Puneet , Rangan Nanda 
Published: December 2023

PurposeEthereum-based blockchain technology (EBT) affords members of the Enterprise Ethereum Alliance (EEA) a market advantage in deploying blockchain within their organizations, including cybersecurity and operational benefits, that leads firms to strategically invest in this nascent technology. However, the impact of such strategic investments in EBT has yet to be explored in the context of its relationship to firm value. Therefore, this study explores EBT-specific firm-level characteristics that result in a stock market reaction to announcements of strategic investments.Design/methodology/approachThe authors use the event study methodology, strategic investment literature and signaling theory as contextualizing frameworks for their study. Additionally, the authors explore a new method for examining technology investments as a strategic counter to cybersecurity threats.FindingsFirms that signal to the market their strong commitment to their strategic investment by developing an EBT proof of concept see significantly higher market returns. Firms that have had prior cybersecurity incidents are rewarded by the market for strategically investing in EBT, and when firms with large undistributed free cash flows utilize this cash for strategic EBT investment, the market is more likely to reward these firms, indicating the market views EBT investment positively in these circumstances.Originality/valueThe results of this study provide new evidence of the value impact of EBT for firms that suffered cybersecurity events in the past. The authors provide empirical evidence of firm-level characteristics that investors use to discern whether a strategic investment in EBT will drive organizational value. Likewise, the authors demonstrate how signaling affects investor perceptions of strategic information technology (IT) investments in EBT.
Impact of gendered female space on the sustainability of the architectural and urban heritage: the case of the M'Zab Valley
Authors: Naili Khouloud , Dahmani Krimo 
Published: December 2023

PurposeIn the M'Zab Valley, women have long remained confined to their domestic sphere and are invisible in outdoor spaces. This study aims to analyse the use of public and private spaces by the women of Ksar El Atteuf, particularly after the significant changes that society has undergone.Design/methodology/approachThis study examines the role of gender in the daily life of an urban community in the M'Zab Valley in Algeria through semi-structured interviews with relevant experts and a survey of 100 Mozabite women. It focuses on their roles and views regarding using spaces and maintaining Mozabite heritage.FindingsSocial and religious norms influence women's utilisation, behaviour and roles in gendered spaces. Most women consider their place to be within the house but refuse to live primitively. Education and work have enabled them to emerge outdoors. The results also showed that owing to the restrictions imposed on women, 60% of them emphasised the need to express their opinions and make decisions, and 26% asked for more opportunities and spaces.Originality/valueThis study broadens understanding of Mozabite society and its architectural and urban heritage. The empirical study surveyed women and conducted interviews with experts. This is valuable, particularly, given the challenges of studying gender in conservative cultural settings.
Does the COVID-19 pandemic disproportionately affect the poor? Evidence from a six-country survey
Authors: Dang Hai-Anh , Huynh Toan L.D. , Nguyen Manh-Hung 
Published: December 2023

PurposeThe COVID-19 pandemic has wrought havoc on economies around the world. The purpose of this study is to learn about the distributional impacts of the pandemic.Design/methodology/approachThe authors contribute new theoretical and empirical evidence on the distributional impacts of the pandemic on different income groups in a multicountry setting. The authors analyze rich individual-level survey data covering 6,082 respondents from China, Italy, Japan, South Korea, the United Kingdom and the United States. The results are robust to various econometric models, including ordinary least squares (OLS), Tobit and ordered probit models with country-fixed effects.FindingsThe authors find that while the outbreak has no impact on household income losses, it results in a 63% reduction in the expected own labor income for the second-poorest income quintile. The pandemic impacts are most noticeable for savings, with all the four poorer income quintiles suffering reduced savings ranging between 5 and 7% compared to the richest income quintile. The poor are also less likely to change their behaviors regarding immediate prevention measures against COVID-19 and healthy activities. The authors also found countries to exhibit heterogeneous impacts.Social implicationsDesigning tailor-made social protection and health policies to support the poorer income groups in richer and poorer countries can generate multiple positive impacts that help minimize the negative and inequality-enhancing pandemic consequences. These findings are relevant not only for COVID-19 but also for future pandemics.Originality/valueThe authors theoretically and empirically investigate the impacts of the pandemic on poorer income groups, while previous studies mostly offer empirical analyses and focus on other sociodemographic factors. The authors offer a new multicountry analysis of several prevention measures against COVID-19 and specific health activities.
How enterprise information systems strategies-enabled strategy-making influences organizational agility: mediated role of IT-enabled dynamic capabilities in two BRICS countries study
Authors: Yoshikuni Adilson Carlos , Dwivedi Rajeev , Favaretto José Eduardo Ricciardi , Zhou Duanning 
Published: December 2023

Purpose The study aims to investigate how enterprise information systems strategies-enabled strategy-making (ISS-SM) influences organizational agility (OA) via the mediated role of IT-enabled dynamic capabilities (ITDC) under environmental dynamism (ED). The study also investigates natural country moderation associated with the business context of the countries where the respondents are located might influence these relationships.Design/methodology/approach The study aims to investigate how enterprise ISS-SM influences OA via the mediated role of ITDC under ED. The study also investigates natural country moderation associated with the business context of the countries where the respondents are located that might influence these relationships.Findings The results demonstrate that ISS-SM influences ITDC to gain OA independent of the ED level. Indian and Brazilian firms show no different effects in the relationship of the research model. However, post hoc analysis revealed that strong ISS-SM on OA is fully mediated by ITDC under higher ED with a substantial coefficient of determination, more prominent for Indian firms characterized by young-age and middle-size firms, agribusiness and government sectors.Research limitations/implications The fundamental to enabling practice and praxis of the strategy-as-practice approach to OA gains mediated through ITDC in different business context conditions.Originality/value The research contributes to extending the literature on the enterprise information systems strategy and information technologies capabilities.
The turbulent future of expertise and training markets
Authors: Dickson Peter Reid 
Published: December 2023

Purpose
To explain how technology will replace a great deal of human labor in knowledge markets using a theory of reasoned action applied to demand and theories of procedural rationality, cost structure and system dynamics applied to supply.

Design/methodology/approach
Two illustrative scenarios are presented. The first is a third-party Best Treatments site, and its effect on the expert advice pharmaceutical representatives provide doctors. The second scenario is an online higher education business course module with embedded AI.

Findings
Both scenarios demonstrate the advantages of online expertise and teaching platforms over the in-person alternative in variable and marginal cost, ease and convenience of use, quality conformance, scalability, knowledge reach and depth and most importantly, speed of evolutionary adaptability. Despite such overwhelming advantages, a number of reasons why the substitution might be slowed are presented, and some strategies firms might adopt are discussed. Opportunities for service scholars to confirm, challenge and extend the conclusions are presented throughout the paper.

Originality/value
Increasing cost structure and adaptability advantages of online technology and AI over in-person delivery of expertise and training services are demonstrated. It is also demonstrated that the innovation-imitation cycle is accelerating because of exogenous innovation in knowledge access and online influence networks and an endogenous effect where imitators accelerate their innovation that drives innovators to accelerate their innovation, which drives imitators to further accelerate their imitation.
Financial market shocks and portfolio rebalancing
Authors: Silver Steven D. , Raseta Marko 
Published: December 2023

PurposeThe intention of the empirics is to contribute to the general understanding of investor responses to market price shocks. The authors review assumptions about investor behavior in response to price shocks and investigate alternative rebalancing heuristics.Design/methodology/approachThe authors use market data over 40 years to define market shocks. Portfolio rebalancing implements constrained Markowitz mean-variance (MV) heuristics.FindingsMomentum rebalancing in portfolio management outperforms contrarian rebalancing in the study interval. Sensitivity analysis by decade, sector constraints and proportion of security holdings bought or sold continue to support momentum rebalancing.Research limitations/implicationsThe results are consistent with under-responding to price shocks at consensus levels in financial markets. The theoretical background provides a basis for experimental lab studies of shocks of different magnitudes under conditions in which participants have information on the levels of other participants and a condition in which they can only observe their previous estimates.Practical implicationsManaging portfolios in the face of price disturbances of different magnitudes is informed by empirical studies and their implications for investor behavior.Originality/valueThis is the first study the authors can locate that uses market data with alternative rebalancing heuristics to estimate price returns from the respective heuristics over a time interval of 40 years. The authors support the results with sensitivity estimates and consider implications for the underlying agent heuristics in light of background studies.