bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploratory analysis of the antecedents of failure in family businesses: cases from Catalunya
Authors: Hayrapetyan Ani , Simon Alexandra 
Published: August 2024

PurposeFamily businesses (FBs) are considered an essential type of entrepreneurship that impacts economic growth. However, statistics show that after a period of performance they ultimately fail, and comparatively little is known about the reasons for their failing when compared to the amount of research focusing on keys to success.Design/methodology/approachThrough the implementation of an case study technique, which is widely used in research to address the complex phenomenon of failure, this paper aims to analyse the antecedents of failure in the case of four Catalan FBs. In doing so, this article develops propositions based on Institutional Economics Theory and Dynamic Capability Theory, with a focus on innovation and product diversification in family firms.FindingsUsing interviews as a means of obtaining a large amount of information, it is observed that problems related to governmental regulations and constantly changing social behaviour can lead to failure for FBs. Additionally, a link between R&D activities and new product development and FB failure is observed. More specifically, this research highlights that a lack of product diversification and innovation can become a hindrance for FB performance when the institutional environment is unstable. It reveals the importance of developing dynamic capabilities that can meet the demands of fast-changing consumer behaviour. From a practical perspective, these findings can be used by governments in developing regulations focused on the dynamic capabilities of FBs, and by managers in order to learn from these experiences and implement appropriate strategies for long-term development and crisis management.Originality/valueThis paper theoretically contributes to both the FB literature, as well as to institutional economics and dynamic capability theories by offering a combined perspective on how FB's dynamic capabilities change based on environmental factors and impact FB failure.
Impact of time-based delay on public-private partnership (PPP) construction project delivery: construction stakeholders’ perspective
Authors: Osei-Asibey Dickson , Ayarkwa Joshua , Baah Benjamin , Afful Aba Essanowa , Anokye Gloria , Nkrumah Prince Asher 
Published: August 2024

Purpose
Many investors have less interest in tendering for public-private partnership (PPP) construction projects as a result of the uncertain risks associated with the project delivery. Moreover, PPP project stakeholders have inadequate information about the probable impacts of time-based delay imposed on PPP projects under the PPP arrangement. This study aims to identify and categorize construction stakeholders’ perceptions of the impact of time-based delays on PPP construction projects.

Design/methodology/approach
A purposive sampling technique was adopted where questionnaires were used as the primary instrument for gathering data from PPP experts. Cronbach’s alpha coefficient and Kendall’s concordance were used to measure the reliability of the scale and the respondent’s level of agreement, respectively. One sample t-test, mean score ranking and principal component analysis were used to analyse the identified time-based delay impacts.

Findings
The study revealed seven significant impacts of time-based delay on PPP construction project delivery as: “project schedule overrun”, “idling of project resources”, “project cost overrun”, “poor quality of completed works”, “delayed realization of project benefits”, “frequent arbitration/litigation in PPP projects” and “total abandonment of PPP projects”. The study further identified the top five significant impacts of time-based delay on PPP project stakeholders as: “reduction in motivation to attract investment”, “high interest on finance (loans)”, “contractor in financial crisis”, “loss of public confidence in government” and “reduction in parties’ reputation”.

Practical implications
The identified significant impacts of time-based delays will increase stakeholders’ awareness of the repercussions and effects that time-based delays may impose on PPP construction projects if not appropriately managed throughout the project implementation. This awareness will further guide stakeholders to implement targeted risk management strategies to minimize the negative consequences of delays on PPP project performance.

Originality/value
As a pioneering study that provides a better understanding of the impacts of time-based delays on PPP construction projects, this study enhances knowledge of PPP construction project implementation.
How do individual supply-chain integration dimensions independently and collectively affect operational performance? A study of manufacturing industries in Thailand
Authors: Wong Chee Yew , Wong Christina W.Y. , Boon-itt Sakun 
Published: August 2024

Purpose
Following counterarguments from previous studies, overwhelming evidence from meta-analyses shows that supply-chain integration (SCI) is not universally associated with improved performance. This study aims to clarify all the mechanisms purported to reach the combined effects of SCI dimensions.

Design/methodology/approach
In this study, the authors first conducted a literature review and identified the effects of different individual SCI dimensions and their interactions and mediation, or arcs of integration, as reported by past studies. Data from a survey of 348 firms were analyzed using multiple regressions, structural equation modeling and latent class analysis.

Findings
The results showed that the positive independent associations between SCI dimensions and operational performance change as they interact. Larger combinational effects were found in a second-order SCI construct and a mediation model. Smaller effects and fewer significant paths (and even negative signs) were also found. This shows that more SCI is not always better. Finally, configurational effects varied: the latent class analysis showed that a more inward (internal integration) gestalt performed better for some firms.

Research limitations/implications
Some variables that could affect operations performance were missing from the models, and this paper did not specify the directions of relationships among the five performance dimensions. The authors are aware of cumulative models, but they are not within the scope of this paper. In addition, this study did not consider other sociocultural factors that may influence different dimensions of SCI.

Originality/value
This study shows SCI dimensions play different roles. Therefore, it is needed to theorize the distinct roles of internal and external integration and how they somehow compensate or substitute for each other. The results suggest that future studies need to reexamine the universal predictions especially from resource-based, resource-advantage and relational views. SCIs are not inimitable and rare resources for all firms. Furthermore, implementing SCI does not guarantee resource and relational advantages for all firms.
Anti-trafficking and humanitarian operations: transferring learnings for a better world
Authors: Yagci Sokat Kezban , Besiou Maria 
Published: August 2024

Purpose
The purpose of this study is twofold: first, to draw insights from the rich literature on humanitarian operations efforts to combat human trafficking; second, to inspire humanitarian operations researchers to work more on human anti-trafficking.

Design/methodology/approach
This is a conceptual paper inspired by recent relevant reports, the academic literature and the authors’ years of involvement in both humanitarian operations and anti-trafficking.

Findings
Humanitarian supply chains and human trafficking supply chains very often operate in the same environments and hence face similar challenges. The paper highlights the overlaps between the two domains and demonstrates how two decades of learnings from humanitarian supply chain literature can help improve the understanding of the more recent academic field of human trafficking supply chains significantly.

Research limitations/implications
This study is conceptual and illuminates numerous opportunities for research in anti-trafficking.

Practical implications
By inspiring more research on anti-trafficking, this paper hopes to facilitate enhancements to human trafficking operation to prevent more cases and protect victims.

Social implications
There is an opportunity to increase the effectiveness of anti-trafficking activities, disrupt human trafficking and enlarge the “humanitarian space.”

Originality/value
To the best of the authors’ knowledge, this is the first paper to discuss human trafficking operations in relation to humanitarian supply chains.
Perceived leader inclusion and employee work-to-family conflict: a daily diary study
Authors: Zhang Kaili , Li Yixuan , Yin Kui , Kleshinski Catherine E. 
Published: August 2024

PurposeEmployees’ perceived inclusion has been shown to have beneficial effects on their effective functioning at work (e.g. engagement, creativity, and task performance); however, workplace inclusion is also believed to have a profound impact on employees’ functioning beyond the work domain, such as on their family domain. The primary goal of our study thus is to explore how perceptions of workplace inclusion influence employees’ family lives.Design/methodology/approachWe tested our hypotheses by surveying 125 employees from a cotton textile manufacturing company in China over 10 consecutive workdays.FindingsDaily perceived leader inclusion was negatively related to employees’ daily resource depletion at work, which in turn was positively related to employees’ daily work-to-family conflict. The direct effect of daily perceived leader inclusion on resource depletion and the indirect effect of daily perceived leader inclusion on work-to-family conflict were stronger for employees with more discrimination experience in their lives.Practical implicationsLeaders should be aware of their unique roles they play in shaping individual inclusion perceptions and should enact actions that satisfy employees’ desires for both belongingness and uniqueness. Moreover, leaders should also be attentive to those who are susceptible to discrimination when promoting inclusion initiatives.Originality/valueOur study proposes an important facet of workplace inclusion—perceived leader inclusion—and offers a resource perspective to understand how leader inclusion may impact employees’ functioning beyond the work domain to affect their family lives.
Evolving female entrepreneurship in emerging economies: clarifying the linkages between institutional forces and online venture performance
Authors: Bose Tarun Kanti , Bonna Ayvi Hossain , Bristy Jannatul Ferdous , Moser Roger 
Published: August 2024

PurposeThis study investigates the rise of online female entrepreneurship in emerging economies from institutional perspectives and the resource-based view (RBV). The research also explores how choosing online entrepreneurship affects the performance of female entrepreneurs.Design/methodology/approachData were collected through surveys, and quantitative data analysis was used to test the hypotheses.FindingsThe results indicate that women entrepreneurs perceive online platforms as rare, valuable, imperfectly imitable and non-substitutable resources. Furthermore, the impact of informal institutions on choosing online platforms is supported, but the influence of formal institutions remains unclear. Additionally, the study finds that opting for online platforms helps entrepreneurs achieve financial and stakeholder relationship goals but does not significantly contribute to strategic and learning goals.Originality/valueOur research highlights how transitioning from a physical to an online business platform can become a valuable resource for marginalized, deprived and struggling entrepreneurs, particularly women, operating within challenging institutional contexts, often prevalent in emerging economies.
The “Great Reset” and its implications on organisational theory
Authors: Roblek Vasja , Dimovski Vlado , Colnar Simon , Meško Maja , Peterlin Judita 
Published: August 2024

PurposeThis research examines the transformative impact of the “Great Reset” on organisational theory through the thematic network analysis of managerial responses from Germany, France, and Spain, emphasising the importance of technological integration, remote working, and resilience.Design/methodology/approachQuestionnaire responses from managers in Germany, France, and Spain were examined using thematic network analysis to understand remote working, digital transformation, and organisational resilience.FindingsManagers highlighted the pivotal role of technology in reshaping future work systems, especially in telecommuting and digitising business procedures. This transformation requires upskilling, shifts in management approaches, and a modernised employee assessment structure.Originality/valueThis study offers practical insights into implementing the Great Reset framework and explains its impact on technological progress, managerial strategies, and organisational resilience.
Positive ageing: self-compassion as a mediator between forgiveness and psychological well-being in older adults
Authors: Goel Vibhuti , Appachu Hema 
Published: August 2024

Purpose
Positive aging aims to promote the physical health and psychological well-being of older adults for them to age successfully. Under the domain of positive aging, this study aims to explore the mediating role of self-compassion between forgiveness and psychological well-being in older adults.

Design/methodology/approach
It was based on a quantitative research design, with a sample of 250 individuals within the age group of 60–75 years. Data was collected using Self-compassion Scale (2003), Heartland Forgiveness Scale (2005) and Psychological Well-being Scale. Analysis was performed using Pearson’s correlation, linear regression, followed by the generalised linear model of mediation.

Findings
The results revealed a significant (p ≤ 0.001), high and positive correlation between self-compassion and forgiveness (r = 0.821), forgiveness and psychological well-being (r = 0.852) and self-compassion and psychological well-being (r = 0.802). Linear regression suggested that self-compassion and forgiveness are significant (p ≤ 0.001) predictors of psychological well-being, causing a variance of 75.6%. Mediation revealed significant (p ≤ 0.001) direct, indirect and total effect between the variables, showing that self-compassion partially mediates the relationship between forgiveness and psychological well-being.

Research limitations/implications
The findings provide valuable insights on how fostering self-compassion along with forgiveness can improve psychological well-being among the elderly, however, research on additional variables, drawing comparisons between gender, economic status and clinical populations can be further explored. Nevertheless, this study can be used to develop interventions and therapeutic techniques to enhance self-compassion and forgiveness to improve psychological well-being among older adults.

Originality/value
As per the best knowledge of the researcher, this work is original as it is a primary research and no data has been collected of a similar nature from the participants.
Bacterial synthesis of metal nanoparticles as antimicrobials
Authors: Arora Anika , Lashani Elham , Turner Raymond J. 
Published: August 2024

AbstractNanoscience, a pivotal field spanning multiple industries, including healthcare, focuses on nanomaterials characterized by their dimensions. These materials are synthesized through conventional chemical and physical methods, often involving costly and energy‐intensive processes. Alternatively, biogenic synthesis using bacteria, fungi, or plant extracts offers a potentially sustainable and non‐toxic approach for producing metal‐based nanoparticles (NP). This eco‐friendly synthesis approach not only reduces environmental impact but also enhances features of NP production due to the unique biochemistry of the biological systems. Recent advancements have shown that along with chemically synthesized NPs, biogenic NPs possess significant antimicrobial properties. The inherent biochemistry of bacteria enables the efficient conversion of metal salts into NPs through reduction processes, which are further stabilized by biomolecular capping layers that improve biocompatibility and functional properties. This mini review explores the use of bacteria to produce NPs with antimicrobial activities. Microbial technologies to produce NP antimicrobials have considerable potential to help address the antimicrobial resistance crisis, thus addressing critical health issues aligned with the United Nations Sustainability Goal #3 of good health and well‐being.
The talent burden—Identity threats and threat responses in the context of an early‐career talent program
Authors: Bolander Pernilla , Sumelius Jennie , Werr Andreas 
Published: August 2024

AbstractAlthough previous research has mainly assumed that talent designation “buoys” individuals' identities, current research is increasingly pointing at the mixed blessing of being identified as a talent. Adopting an identity work perspective, we examine what identity threats talents perceive in the context of an early‐career talent program and how they respond to these perceived threats. Our study builds on qualitative interviews conducted in a large Swedish MNC during three different phases of a talent program. Our findings advance the literature by developing a deeper understanding of the “identity struggles” early‐career talents face during their talent journeys. We conceptualize these struggles as identity threats and identify and analyse specific threats as well as how talents respond to these threats. Our findings show a strong willingness to protect the talent identity, but responses vary over time and between individuals. The study sheds light on how different sources of identity threat and different critical experiences, especially regarding career progress and perceived social support, lead to different responses and outcomes of talent designation.
Comparative analysis of paraphrasing performance of ChatGPT, GPT‐3, and T5 language models using a new ChatGPT generated dataset: ParaGPT
Authors: Kurt Pehlivanoğlu Meltem , Gobosho Robera Tadesse , Syakura Muhammad Abdan , Shanmuganathan Vimal , de‐la‐Fuente‐Valentín Luis 
Published: August 2024

AbstractParaphrase generation is a fundamental natural language processing (NLP) task that refers to the process of generating a well‐formed and coherent output sentence that exhibits both syntactic and/or lexical diversity from the input sentence, while simultaneously ensuring that the semantic similarity between the two sentences is preserved. However, the availability of high‐quality paraphrase datasets has been limited, particularly for machine‐generated sentences. In this paper, we present ParaGPT, a new paraphrase dataset of 81,000 machine‐generated sentence pairs, including 27,000 reference sentences (ChatGPT‐generated sentences), and 81,000 paraphrases obtained by using three different large language models (LLMs): ChatGPT, GPT‐3, and T5. We used ChatGPT to generate 27,000 sentences that cover a diverse array of topics and sentence structures, thus providing diverse inputs for the models. In addition, we evaluated the quality of the generated paraphrases using various automatic evaluation metrics. Furthermore, we provide insights into the strengths and drawbacks of each LLM in generating paraphrases by conducting a comparative analysis of the paraphrasing performance of the three LLMs. According to our findings, ChatGPT's performance, as per the evaluation metrics provided, was deemed impressive and commendable, owing to its higher‐than‐average scores for semantic similarity, which implies a higher degree of similarity between the generated paraphrase and the reference sentence, and its relatively lower scores for syntactic diversity, indicating a greater diversity of syntactic structures in the generated paraphrase. ParaGPT is a valuable resource for researchers working on NLP tasks like paraphrasing, text simplification, and text generation. We make the ParaGPT dataset publicly accessible to researchers, and as far as we are aware, this is the first paraphrase dataset produced based on ChatGPT.
Novel three‐dimensional live skin‐like in vitro composite for bioluminescence reporter gene assay
Authors: Tomita Tatsunosuke , Nakajima Yoshihiro , Ohmiya Yoshihiro , Miyazaki Koyomi 
Published: August 2024

We genetically manipulated HaCaT cells, a spontaneously immortalised normal keratinocyte cell line, to stably express two different coloured luciferase reporter genes, driven by interleukin 8 (IL‐8) and ubiquitin‐C (UBC) promoters, respectively. Subsequently, we generated a three‐dimensional (3D) skin‐like in vitro composite (SLIC) utilising these cells, with the objective of monitoring bioluminescence emitted from the SLIC. This SLIC was generated on non‐woven silica fibre membranes in differentiation medium. Immunohistochemical analyses of skin differentiation markers in the SLIC revealed the expression of keratins 2 and 10, filaggrin, and involucrin, indicating mature skin characteristics. This engineered SLIC was employed for real‐time bioluminescence monitoring, allowing the assessment of time‐ and dose‐dependent responses to UV stress, as well as to hydrophilic and hydrophobic chemical loads. Notably, evaluation of responses to hydrophobic substances has been challenging with conventional 2D cell culture methods, suggesting the need for a new approach, which this technology could address. Our observations suggest that engineered SLIC with constitutively expressing reporters driven by selected promoters which are tailored to specific objectives, significantly facilitates assays exploring the physiological functions of skin cells based on genetic response mechanisms. It also highlights new avenues for evaluating the physiological impacts of various compounds designed for topical application to human skin.
Predictive modelling of chlorophyll in Mombaça grass leaves by hyperspectral reflectance data and machine learning
Authors: Sánchez Miller Ruiz , Silva Carlos Augusto Alves Cardoso , Demattê José Alexandre Melo , Mendonça Fernando Campos , da Silva Marcelo Andrade , Romanelli Thiago Libório , Fiorio Peterson Ricardo 
Published: August 2024

AbstractChlorophyll (Chl) concentration is one of the factors that affects crop productivity. This study investigated the prediction of chlorophyll concentrations in Mombaça grass' leaves using hyperspectral data and machine learning techniques. Chlorophyll variations were induced by different levels of nitrogen fertilization (104, 208, 312, and 416 kg ha−1). Spectral signatures (400–2500 nm) and chlorophyll contents of the leaves were obtained in October, November, and December 2017, and January 2018. Models were generated using Partial Least Square Regression (PLSR), Random Forest (RF), and Support Vector Regression (SVR). Two validation techniques were employed: holdout, dividing the data into training (75%) and testing (25%) sets; and leave‐one‐date‐out cross‐validation (LOOCV), in which one date was omitted during model training and used to predict the omitted date's value. Chlorophyll concentrations varied according to N doses, with the highest concentrations observed in October and December. In these months, there were greater variations in spectral reflectance in the green and red bands (530–680 nm). December was identified as the ideal period for chlorophyll quantification, for both holdout and LOOCV validation techniques. The SVR technique performed best (R2 = 0.71, RMSE = 0.23 mg g−1, dr = 0.72) compared to RF (R2 = 0.63, RMSE = 0.27 mg g−1, dr = 0.66) and PLSR (R2 = 0.60, RMSE = 0.27 mg g−1, dr = 0.67). Therefore, the prediction of chlorophyll in Mombaça grass using spectroradiometry is promising and applicable across different cultivation periods.