bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deep genetic substructure within bonobos
Authors: Han Sojung , de Filippo Cesare , Parra Genís , Meneu Juan Ramon , Laurent Romain , Frandsen Peter , Hvilsom Christina , Gronau Ilan , Marques-Bonet Tomas , Kuhlwilm Martin , Andrés Aida M 
Published: July 2024

SummaryEstablishing the genetic and geographic structure of populations is fundamental both to understand their evolutionary past and preserve their future, especially for endangered species. Nevertheless, the patterns of genetic population structure are unknown for most endangered species, including some of our closest living relatives. This is the case of bonobos (Pan paniscus) which together with chimpanzees (Pan troglodytes) are humans’ closest living relatives. Chimpanzees live across equatorial Africa and are classified into four subspecies (Groves, 2001), with some genetic population substructure even within subspecies. Conversely, bonobos live exclusively in the Democratic Republic of Congo and are considered a homogeneous group with low genetic diversity (Fischer et al. 2011) despite some population structure inferred from mtDNA. Nevertheless, mtDNA aside, their genetic structure remains unknown, hampering our understanding of the species and conservation efforts. Placing bonobos’ genetics in space is however challenging because, being endangered, only non-invasive sampling is possible for wild individuals. Here, we jointly analyse the exomes and mtDNA from 20 wild-born bonobos, the whole-genomes of 10 captive bonobos and the mtDNA of 61 wild individuals. We identify three genetically distinct bonobo groups of inferred Central, Western and Far-Western geographic origin within the bonobo range. We estimate the split time between the central and western populations to ∼145,000 years ago, and genetic differentiation to be in the order of that of the closest chimpanzee subspecies. We identify putative signatures of differential genetic adaptation among populations for genes associated with homeostasis, metabolism and the nervous system. Furthermore, our estimated long-termNefor Far-West (∼3,000) is among the lowest estimated for any great ape lineage. Our results highlight the need of attention to bonobo substructure, both in terms of research and conservation.Highlights–We identified three genetically distinct populations of bonobos, inferred as having Central, Western and Far-Western geographic origin within the species range. The estimated split time is ∼145,000 years ago for the Central and Western populations, and ∼60,000 years ago for the two Western populations.–The genetic differentiation between the Central and Far-Western bonobo populations is in the order of that between Central and Eastern chimpanzee subspecies, while the genetic differentiation among Western bonobo populations is similar to that among human groups.–Once substructure is accounted for, we infer a long-term effective population size (Ne) of only ∼3,000 for Far-Western bonobos, genetic isolation and inbreeding.
Understanding the dynamics of English-speaking challenges for students in Kazakhstan
Authors: Yessenbekova Kymbat 
Published: July 2024

PurposeThe purpose of this paper is to explore the English-speaking challenges confronted by English as Foreign Language (EFL) students in the context of Kazakhstan, a Central Asian, post-Soviet nation, particularly focusing on the interrelation of English language fluency issues, psychological conditions and the influence of environmental factors.Design/methodology/approachThis qualitative inquiry is firmly situated in Krashen’s second language acquisition theory. The research cohort comprises ten undergraduates from the esteemed Foreign Languages and Translation Studies Department, their narratives forming the basis for data analysis. The author conducted structured interviews with the participants.FindingsThe findings demonstrate that limited language proficiency not only hinders fluency but also initiates psychological challenges, forming a difficult cycle. Additionally, environmental elements, such as interactions with teachers and peers, have both beneficial and adverse impacts on speaking improvement. Acknowledging and tackling these complex dynamics is crucial for developing focused interventions that foster a supportive learning environment conducive to enhancing language acquisition and fluency.Research limitations/implicationsThe limitation of this research is that the triangulation method in the form of additional semi-structured interviews and/or observation was not used to get more in-depth data.Practical implicationsThe study might be helpful for stakeholders to reflect on the English difficulties they experience and to prepare effective teaching and learning strategies. In particular, EFL teachers may need to use more speaking activities in lessons to help students overcome language barriers in speaking. EFL teachers might also adopt strategies such as not judging learners’ mistakes in the first phase of their language practices until they get used to speaking without any psychological blocks and paying additional attention to vocabulary and grammar knowledge in communicative lessons. EFL students may use the strategies to consciously evaluate their skills and not learn the speaking material by heart beforehand. In addition, university administration may organize regular speaking clubs for students in order to create an immersive environment. Moreover, they might require teachers to show up with their speaking capabilities before hiring English teachers, especially in English-related specialization departments.Originality/valueThe research indicates a lack of support and a judgmental environment, passive involvement in communicative pursuits and memorization as instrumental strategies for augmenting oral proficiency. These reasons have created difficulties in speaking English for students studying in English-specialized departments in Kazakhstan.
Online faith-holder communities in crisis: proposing and testing a dual-challenge model
Authors: Ren Ruqin , Yan Bei 
Published: July 2024

PurposeThough current literature has started to recognize the significant role that online faith-holders play in the context of brand reputation crises, extant research lacks a theoretical framework to explain the process in which online faith-holders endure the harm in brand reputation while collectively rebuilding the reputation. We propose and test a dual-challenge model for a more systematic understanding of faith-holder communities in brand reputation crises.Design/methodology/approachFocusing on collective-level communication activities, we quantitatively compared the volume, valence and variance of a faith-holder community’s communication (441,611 posts by 3,228 fans over 14 days) before and after a brand reputation crisis.FindingsOur longitudinal data demonstrated that the crisis was a significant threat to group sentiment and cohesion. Nevertheless, the community was highly resilient and adaptive. Their emotions quickly recovered, and they promptly restored group cohesion and coordinated crisis response efforts after the crisis.Originality/valueThis study challenges the traditional assumption that online users are independent, static and reactive during brand crises. Instead, it conceptualizes online faith-holder community as a connected, proactive and dynamically adaptive group in crisis situations. This dual-challenge model highlights the importance of internally fostering collective resilience while externally coordinating crisis responses in a faith-holder community.
Unmanned ground vehicle (UGV) based automated construction progress measurement of road using LSTM
Authors: Patel Tirth , Guo Brian H.W. , van der Walt Jacobus Daniel , Zou Yang 
Published: July 2024

PurposeCurrent solutions for monitoring the progress of pavement construction (such as collecting, processing and analysing data) are inefficient, labour-intensive, time-consuming, tedious and error-prone. In this study, an automated solution proposes sensors prototype mounted unmanned ground vehicle (UGV) for data collection, an LSTM classifier for road layer detection, the integrated algorithm for as-built progress calculation and web-based as-built reporting.Design/methodology/approachThe crux of the proposed solution, the road layer detection model, is proposed to develop from the layer change detection model and rule-based reasoning. In the beginning, data were gathered using a UGV with a laser ToF (time-of-flight) distance sensor, accelerometer, gyroscope and GPS sensor in a controlled environment. The long short-term memory (LSTM) algorithm was utilised on acquired data to develop a classifier model for layer change detection, such as layer not changed, layer up and layer down.FindingsIn controlled environment experiments, the classification of road layer changes achieved 94.35% test accuracy with 14.05% loss. Subsequently, the proposed approach, including the layer detection model, as-built measurement algorithm and reporting, was successfully implemented with a real case study to test the robustness of the model and measure the as-built progress.Research limitations/implicationsThe implementation of the proposed framework can allow continuous, real-time monitoring of road construction projects, eliminating the need for manual, time-consuming methods. This study will potentially help the construction industry in the real time decision-making process of construction progress monitoring and controlling action.Originality/valueThis first novel approach marks the first utilization of sensors mounted UGV for monitoring road construction progress, filling a crucial research gap in incremental and segment-wise construction monitoring and offering a solution that addresses challenges faced by Unmanned Aerial Vehicles (UAVs) and 3D reconstruction. Utilizing UGVs offers advantages like cost-effectiveness, safety and operational flexibility in no-fly zones.
Measuring the impact of lean implementation on BIM and project success: case of construction firms
Authors: Polat Furkan , Demirkesen Sevilay 
Published: July 2024

PurposeThe main purpose of this study is to reveal the degree of association between lean, building information modeling (BIM) and construction project success. The study further intends to provide strategies for high and low associations of the factors.Design/methodology/approachLean construction and BIM are two important applications that have recently gained popularity in terms of enhancing project success. Considering this impact, this study investigates the synergy between lean construction and BIM and determines to what extent these two contribute to the success of the projects. As a first step, lean, BIM and project success were examined based on an in-depth literature review. In the second stage, a structural equation model (SEM) was established to reflect the relationship among these three through hypotheses. Then, a questionnaire was designed and administered to the construction professionals experienced in both lean and BIM implementation. The SEM was tested using Analysis of Moment Structures (AMOS), an SPSS tool.FindingsThe results indicated that lean implementation has a significant and positive impact on BIM implementation and project success. On the other hand, BIM implementation had a lower significant impact on project success than lean implementation construct.Research limitations/implicationsThe results of this study can be used by both policymakers and industry practitioners in terms of developing strategies for effectively using both lean and BIM. The researchers can further develop other implementation models to investigate whether these concepts are more effective in increasing project success when used integratively.Originality/valueThis study considers both the impact of lean and BIM on project success through input from construction practitioners working on large projects. This way, the study fosters the use of lean, BIM or lean–BIM together in construction projects to enhance project success.
Innovating the management of supply chains for social sustainability: from the state of the art to an integrated framework
Authors: Zangara Gabriele , Filice Luigino 
Published: July 2024

PurposeThis paper focuses on managerial practices in the context of supply chain. It focuses on the innovation of monitoring and control practices and proposes a holistic approach to managing social sustainability in the supply chain, extending the point of view beyond the traditional boundaries of individual factories or their immediate suppliers.Design/methodology/approachThe analysis is based on a systematic review of scientific literature on managerial practices in supply chains, with a specific focus on social sustainability. The primary goal is to identify essential measurement strategies and key indicator factors within this domain.FindingsOur findings highlight that most of scientific literature focuses on qualitative approaches, though quantitative approaches are also used. Despite the extensive research, an under-investigated area is the use of hybrid models for measuring social sustainability in the supply chain.Social implicationsThis framework is designed to identify the main categories of measurement and relative indicators for assessing social sustainability in supply chains.Originality/valueThis research proposes an innovative and integrated framework, leveraging a hybrid approach that addresses the limitations observed in existing management practices. Additionally, it provides directions for future research.
Education for sustainability as a way-out to nurture citizens: a reframing in policy practices of Chinese higher education
Authors: Xiao Chong , Du Xiaoxin 
Published: July 2024

PurposeThis study examines education for sustainability (EfS) within the Chinese context, to specifically enrich the understanding on how EfS is structured and implemented to nurture citizenship in the policy practices of universities in Mainland China and Hong Kong.Design/methodology/approachA cross-case analysis is recruited to examine the commonalities and differences between two universities and identify patterns in cultivating sustainability citizenship within higher education institutions (HEIs) in China. Data were collected through reviewing documents, including two universities’ strategic plans, action plans, department meeting memos, program introductions, course outlines and publicity coverage. Observation was also adopted to enrich the data for analysis, covering meetings, speeches by senior management, university events and informal conversations about university operations.FindingsCitizenship and sustainability in university strategic planning, curriculum and instruction, carriers of EfS institutionalization, and resources and impacts of EfS beyond the institutes were analyzed in a comparative manner, offering valuable insights into how EfS can be institutionalized in different universities based on their unique appeals, existing curriculum and management systems.Originality/valueBy exploring these intra-national distinctions in EfS, the study sheds light on the variation within China's citizenship education, which is traditionally seen as highly unified with limited room for differences. The detailed exploration of university strategies and program/course content enriches the literature of sustainability as an educational phenomenon on an international scale and modernized citizenship education in China.
Fostering AI literacy: overcoming concerns and nurturing confidence among preservice teachers
Authors: Hur Jung Won 
Published: July 2024

Purpose
This study aims to investigate how preservice teachers’ stages of concern, beliefs, confidence and interest in AI literacy education evolve as they deepen their understanding of AI concepts and AI literacy education.

Design/methodology/approach
AI literacy lessons were integrated into a technology integration course for preservice teachers, and the impacts of the lessons were evaluated through a mixed-methods study. The Concerns-Based Adoption Model was employed as the analytical framework to explore participants’ specific concerns related to AI.

Findings
Findings revealed that participants initially lacked AI knowledge and awareness. However, targeted AI literacy education enhanced preservice teachers’ awareness and confidence in teaching AI. While acknowledging AI’s educational benefits, participants expressed ongoing concerns after AI literacy lessons, such as fears of teacher displacement and the potential adverse effects of incorporating generative AI on students’ critical learning skills development.

Originality/value
Despite the importance of providing preservice teachers with AI literacy skills and knowledge, research in this domain remains scarce. This study fills this gap by enhancing the AI-related knowledge and skills of future educators, while also identifying their specific concerns regarding the integration of AI into their future classrooms. The findings of this study offer valuable insights and guidelines for teacher educators to incorporate AI literacy education into teacher training programs.
Beyond profit in family businesses: ESG-driven business model innovation and the critical role of digital capabilities
Authors: Marnoto Sandra , Silva Carla , Veiga Pedro Mota 
Published: July 2024

PurposeThis study aims to analyze the interaction between environmental, social and governance (ESG) practices and digital capabilities in promoting business model innovation (BMI) in family firms. Specifically, it researches how ESG practices influence BMI in family firms, breaking down this influence into its ESG components.Design/methodology/approachWe used microdata from the Flash Eurobarometer 486 survey, conducted by the European Commission in 2020, which provides detailed data on the challenges and obstacles faced by European businesses. The survey included telephone interviews with key managers from 2,483 family-owned businesses across 27 EU countries.FindingsThe analysis found that the environmental, social and governance dimensions of ESG significantly enhance business model innovation in family firms. Additionally, the interaction between environmental practices and digital capabilities significantly enhances business model innovation in family firms, while the interactions between social or governance practices and digital capabilities do not show significant effects.Research limitations/implicationsThe study supports the theoretical framework that integrates ESG practices into business model innovation, providing empirical evidence for the concept of sustainable business models. It emphasizes the importance of environmental sustainability, social engagement and robust governance in driving innovation.Practical implicationsFamily business managers can use the findings to guide their innovation strategies by integrating ESG practices with digital capabilities. Policymakers can also benefit from understanding the importance of supporting ESG practices and digitalization in family businesses, fostering a regulatory environment that encourages sustainable innovation.Originality/valueThis research expands the theoretical understanding of how ESG practices and digital capabilities interact to foster BMI, particularly in family firms. By breaking down ESG practices into environmental, social and governance components, the study offers a detailed view of their interaction with digital capabilities.
The “mythologies” of women at work, interrupted: feminist origins antenarratives from Harvard Business Review and Western University’s The Quarterly, Part I
Authors: Ruel Stefanie 
Published: July 2024

PurposeThe author aims to walk beside the singular privileged class of White women’s suffrage feminist origin story to (re)construct plausible feminist fragmented threads as antenarratives in the context of business management education. To accomplish this (re)assembling of threads, the author examined two North American business trade publications created and used within two business schools, Harvard University’s Harvard Business Review (HBR), established in 1922, and Western University’s The Quarterly Review of Commerce (The Quarterly), established in 1933.Design/methodology/approachThe author carefully reviewed almost 4,000 articles from HBR and The Quarterly, focusing on 308 articles that addressed the experiences of complex women. With this subset of collected articles, the author highlighted overlooked details, accidents and errors, generating interest and curiosity about the emergence of these fragmented and paradoxical origins that align with Foucault's histories of errors. By grouping these narrative fragments into themes and conducting a critical discourse analysis that incorporated influences from the external environment, the author reconstructed plural feminist origins antenarratives.FindingsThe themes discovered, including women as consumers, explicit working women concerns, women as authors/coauthors, diversity and social justice initiatives, and women in higher education/training, are not merely descriptive observations. They are the building blocks for identifying and analyzing the power relations circulating among feminist origins antenarratives within management education circles. These antenarratives include shedding light on women working in capitalist contexts, the educational needs of business women, and men and naming (but not breaking) the “mythologies” of women at work. These findings are transformative to the understanding of plural feminist origins.Originality/valueThe uniqueness of this work lies in its threefold contributions: moving away from the notion of a singular feminist origin story and instead embracing the complexity of multiple, paradoxical and incomplete origins; shedding light on the spectrum of power relations – ranging from productive to oppressive – that shaped the experiences of women in two management educational circles during the first half of the 20th century; and introducing the concept of inflection points, which underscores the fluidity of knowledge.
Reverse logistics and financial performance in a developing country context: the moderating role of analytics capability
Authors: Appiah Listowel Owusu , Owusu-Bio Matilda Kokui 
Published: July 2024

Purpose
This paper aims to examine the financial outcome of reverse logistics among firms in a developing country. The authors draw on the organizational information processing theory to propose that analytics capability moderates the relationship between reverse logistics and financial performance.

Design/methodology/approach
The authors collected firm-level survey data from 200 manufacturing firms in Ghana, a developing country in sub-Saharan Africa. Partial least squares structural equations modeling is used to examine the proposed relationships, and the moderating effects are further probed using Hayes PROCESS.

Findings
The empirical results show that reverse logistics is negatively related to financial performance. However, analytics capability attenuates this negative relationship, such that firms with high analytics capability obtain a positive relationship between reverse logistics and financial performance.

Practical implications
Firms in developing countries should combine their reverse logistics strategies with developing analytics capabilities that help minimize uncertainties and increase the efficient collection and use of information to reduce the cost of reverse logistics.

Originality/value
This paper examines how reverse logistics relates to financial performance in low-resource contexts. Beyond the novelty of the context, it explores the information processing needs of reverse logistics systems and provides empirical data to support analytics capability. This has yet to be considered in prior studies.