bluuebunny/crossref_metadata_2025_split huggingface dataset:
The many roads to reform: a configurational analysis of the conditions supporting performance management implementation
Authors: Musso Juliet Ann , Weare Christopher , Jackman Robert W. 
Published: August 2024

PurposeThe goal is to illuminate the requisites for the implementation of performance management reforms in a public bureaucracy.Design/methodology/approachThe paper employs a configurational approach, qualitative comparative analysis, that identifies combinations of political and organizational conditions necessary and/or sufficient for success. The analysis applies the success factor identified in the literature in analyzing the experience of departments involved in a city-wide reform in Los Angeles. The analysis utilizes two rounds of survey data combined with case observations to evaluate the presence of these conditions. Cross-case comparisons employ Boolean logic to identify configurations associated with successful system implementation.FindingsThe analysis identifies several distinct configurations of conditions that appear in departments that implemented the reform. One emphasizes mayoral support, while others emphasize leadership in combination with other organizational capacities.Practical implicationsThe analysis yields several insights for managers. First, no silver bullet such as strong leadership assures reform implementation. Second, there are multiple avenues to reform. An organization that lacks some prerequisites – such as leadership or metrics – may succeed in the presence of other features such as an innovative culture or external political support. Finally, the study provides a bracing council that even under favorable conditions, performance management reforms may fail to take root, for reasons that can be difficult to predict.Originality/valueThe paper highlights the importance of considering configurations of conditions rather than focusing on conditions independently. Also, it highlights the importance of equifinality, the notion that observed outcomes can have multiple causes, a perspective typically missing in correlational analyses.
Thinking critically about scientific information generated by ChatGPT
Authors: Archila Pablo Antonio , Ortiz Brigithe Tatiana , Truscott de Mejía Anne-Marie , Molina Jorge 
Published: August 2024

Purpose
In November 2022, the commercial company, OpenAI, launched ChatGPT. Since then, university students have rapidly become regular users of this artificial intelligence (AI) platform. One reason for this is the powerful capability of this generative AI tool to produce textual content, which in many cases, is almost indistinguishable from human-generated content. Another reason is that ChatGPT easily gives anyone access to knowledge. However, there is a problem as the vast majority of its users have no idea how this AI platform works and thus overlook the importance of thinking critically about information communicated in ChatGPT. While some call for banning this generative AI tool, this study aims to provide evidence that science classrooms can become scenarios where students find explicit, concrete, and realistic opportunities to critically evaluate scientific information generated by ChatGPT.

Design/methodology/approach
An intervention study was conducted with 55 students (26 females and 29 males, 17–24 years old) during a university Spanish-English bilingual science course taught within an active learning environment. The data consist of the written critiques of the students about Spanish-English bilingual scientific texts produced by ChatGPT.

Findings
Results indicate that the intervention had a positive effect on students’ abilities to construct sound arguments in Spanish and in English while judging the quality of scientific texts produced by this AI bot. Moreover, the findings suggest that the intervention enriched students’ skills to make improvements to texts produced by this generative AI tool.

Originality/value
The evidence provided in this study contributes to the exploration of possibilities to help students become critical users of ChatGPT.
Trust development in live streaming commerce: interaction-based building mechanisms and trust transfer perspective
Authors: Chen Yanhong , Li Man , Chen Aihui , Lu Yaobin 
Published: August 2024

PurposeLive streaming commerce has emerged as an essential strategy for vendors to effectively promote their products due to its unique content presentation and real-time interaction. This study aims to investigate the influence of viewer-streamer interaction and viewer-viewer interaction on consumer trust and the subsequent impact of trust on consumers' purchase intention within the live streaming commerce context.Design/methodology/approachA survey questionnaire was conducted to collect data, and 403 experienced live streaming users in China were recruited. Covariance-based structural equation modeling (CB-SEM) was used for data analysis.FindingsThe results indicated that viewer-streamer interaction factors (i.e., personalization and responsiveness) and viewer-viewer interaction factors (i.e., co-viewer involvement and bullet-screen mutuality) significantly influence trust in streamers and co-viewers. Additionally, drawing on trust transfer theory, trust in streamers and co-viewers positively influences trust in products, while trust in co-viewers also positively influences both trust in streamers and products. Furthermore, all three forms of trust positively impact consumers' purchase intentions.Originality/valueThis study enriches the extant literature by investigating interaction-based trust-building mechanisms and uncovering the transfer relationships among three trust targets (streamers, co-viewers and products). Furthermore, this study provides some practical guidelines to the streamers and practitioners for promoting consumers’ trust and purchase intention in live streaming commerce.
Thermal modeling of variable process parameter effects in powder bed fusion using electron beam
Authors: Kirim Baris , Soylemez Emrecan , Tan Evren , Yasa Evren 
Published: August 2024

Purpose
This study aims to develop a novel thermal modeling strategy to simulate electron beam powder bed fusion at part scale with machine-varying process parameters strategy. Single-bead and part-scale experiments and modeling were studied. Scanning strategies were described by the process controlling functions that enabled modeling.

Design/methodology/approach
The finite element analysis thermal model was used along with the powder bed fusion with electron beam experiments. The proposed strategy involves dividing a part into smaller sections and creating meso-scale models for each subsection. These meso-scale models take into consideration the variable process parameters, including power and velocity of the moving heat source, during part building. Subsequently, these models are integrated to perform partscale simulations, enabling more realistic predictions of thermal accumulation and resulting distortions. The model was built and validated with single-bead experiments and bulky parts with different features.

Findings
Single-bead experiments demonstrated an average error rate of 6%–24% for melt pool dimension prediction using the proposed meso-scale models with different scanning control functions. Part-scale simulations for three different geometries (cantilever beams with supports, bulk artifact and topology-optimized transfer arm) showed good agreement between modeled temperature changes and experimental deformation values.

Originality/value
This study presents a novel approach for electron beam powder bed fusion modeling that leverages meso-scale models to capture the influence of variable process parameters on part quality. This strategy offers improved accuracy for predicting part geometry and identifying potential defects, leading to a more efficient additive manufacturing process.
The future of print: rightsizing the physical collection to meet the research, learning and teaching needs in a community college
Authors: LaMagna Michael , Rodgers Andrea 
Published: August 2024

PurposeRecognizing the magnitude of disruption the pandemic caused for academic libraries, this study considers past collection development approaches considering a new post-pandemic landscape. It questions tried-and-true best practices held at our institution for decades with the purpose of seeking clarity and a way forward. Through this collection development self-study, our goal is to identify a new collecting model that meets our students “just-in-time” information needs while also maintaining fiscal responsibility. Our hope is that other institutions of similar size and purpose can apply these new models in their collections.Design/methodology/approachThis study utilizes collection analysis data obtained through the Bowker Book Analysis System (BBAS) to compare our existing collection against Resources for College Libraries (RCL) in addition to EZProxy Analytics and existing circulation data. The qualitative data helped inform conversations among the librarians with collection development responsibilities and sparked conversations and decisions on how to best move forward to rightsize a print collection.FindingsInformed by data from the Bowker Book Analysis System, this article discusses a new approach to collection development which includes a focus on leasing books, rethinking when to permanently add a print title to our physical collection, and the expanded use of demand-driven acquisitions (DDA) to offer students the largest possible access to research.Originality/valueWhile the library and information science literature include discussions of collection analysis, the originality of this proposed article is the focus on a collection analysis post-pandemic in a community college environment with new approaches to building a collection with limited financial resources.
Understanding how socio-historical contexts inform approaches to improving racial climate in stem graduate education within the United States
Authors: Rodriguez Sarah L. , Perez Rosemary , Kim Angie , Motshubi Rudisang 
Published: August 2024

Purpose
The purpose of this study was to examine how two socio-historical contexts within the United States, the Movement for Black Lives and the COVID-19 pandemic, informed approaches to improving racial climate in science, technology, mathematics and engineering (STEM) graduate education.

Design/methodology/approach
The authors used a general qualitative inquiry research study design to conduct focus groups (n = 121) with graduate students, postdoctoral fellows and faculty members from across STEM disciplines as well as administrators whose work involves STEM graduate students. Participants were from two US institutions involved in a National Science Foundation networked improvement community seeking to create inclusive environments for STEM graduate students.

Findings
This study demonstrates how these socio-historical contexts illuminated and amplified on-going efforts to address racial climate for graduate students in US-based graduate education. In response to these events, STEM faculty devoted time that otherwise might have gone to purely technical or scientific endeavors to addressing racial climate. However, some faculty members remain hesitant to address racial climate and efforts appear to have further waned over time. While diversity, inclusion and equity efforts came to the forefront of the collective consciousness during this time, participants worry that these efforts are not sustainable, particularly without support from faculty and administrators.

Practical implications
The findings from this study will inform efforts to improve racial climate in STEM graduate programs.

Originality/value
This study fills an identified need to capture how socio-historical contexts, like the US Movement for Black Lives and the COVID-19 pandemic, have influenced approaches to improving racial climate in STEM graduate programs.
Unlocking the motivations behind vintage luxury desire
Authors: Phau Ian , Akintimehin Olamide Oluwabusola , Shimul Anwar Sadat , Lee Sean 
Published: August 2024

Purpose
Despite the growing popularity of SHVL fashion, there is little empirical focus on the antecedent factors that influence consumers’ intention to purchase and recommend SHVL fashion. Drawing on insights from the stimulus–organism–response framework, this paper aims to investigate the motivational factors influencing the consumers’ attitudes and their intention to purchase and recommend SHVL fashion.

Design/methodology/approach
Primary data was gathered from 232 present customers of SHVL fashion products and analysed using the partial least square structural equation modelling.

Findings
Research findings show that eco-consciousness, treasure hunting, status consumption and the need for uniqueness were positively linked to intentions to purchase SHVL fashion through the intervening role of attitude. Attitude was positively linked with purchase intentions, which also positively influenced intention to recommend SHVL fashion.

Practical implications
The study findings assist brand managers in understanding how they can cater to the diverse needs of SHVL fashion consumers.

Originality/value
This research contributes significantly to the SHVL domain by examining core antecedents that motivate consumers’ intention to purchase and recommend SHVL fashion.
Does customer orientation mediate the relationship between knowledge-based dynamic capability and the competitive performance of SMEs in India?
Authors: Mohanty Sandeep Kumar , Dash Ajitabh 
Published: August 2024

PurposeThis paper aims to examine the mediating effect of customer functional and relationship customer orientation on the relationship between the knowledge-based dynamic capabilities and the competitive performance (CP) of small and medium enterprises (SMEs) operating in India.Design/methodology/approachThe hypotheses proposed for this study were tested using data from the proprietors and competent authorities of 441 sample SMEs using structural equation modelling with partial least squares.FindingsThe results of this study indicate that knowledge-based dynamic capability (KBDC) has a significant connection with the CP of SMEs in a growing economy such as India. In addition, this study confirmed that the connection and functional customer orientation partially mediate the association between knowledge-based dynamic capabilities and the CP of SMEs.Practical implicationsThis study’s practical contribution lies in its investigation of whether customer orientation serves as a mediator between KBDC and CP in SMEs in India. For instance, SMEs can implement strategies like customer feedback loops, loyalty programmes and customized solutions based on market insights to enhance customer orientation and ultimately improve CP.Originality/valueThis study analyses how SMEs can use knowledge-based dynamic capabilities and customer orientation to obtain a competitive advantage. This research contributes to the existing literature on knowledge management by expanding the notion of KBDC by integrating functional and relational customer orientation.
Green innovation for a sustainable environment: Modeling the new green knowledge production function for OECD countries
Authors: Özbay Ferhat 
Published: August 2024

AbstractThe world community faces serious challenges such as climate change, biological loss, and environmental degradation. Developing ecological technologies is vital for coping with these unreversible crises. This study proposed a modified green knowledge production function to achieve sustainable development goals and generate policies for promoting environmental technologies. It examined the impact of market demands, environmental research and development expenditures, human capital, and environmental protection policies on the production of green environment technologies. Panel data included 16 OECD countries from 1990 to 2019. Data analysis strategies included the Gengenbach, Urbain, and Westerlund panel co‐integration test, fully modified least squares, mean group dynamic least squares, and estimators such as feasible generalized least squares and panel‐corrected standard errors for robust checks. A novel panel causality test via a half‐panel jackknife estimator was also applied for causality analyses. The findings showed that human capital, market size, and environmental policy stringency played significant roles in producing environmental technologies and innovations. Although environmental expenditures made by the government positively affected the supply of green innovation, no statistically significant results were observed. The study highlights the importance of enhancing environmental innovation factors by promoting policies, including human capital development, environmental sanctions, and market demands for a sustainable environment.
How signature complexity affects expert and lay ability to distinguish genuine, disguised and simulated signatures
Authors: Scurich Nicholas , Angel Miriam , Stern Hal , Thompson William C. 
Published: August 2024

AbstractThis study examined how variations in signature complexity affected the ability of forensic document examiners (FDEs) and laypeople to determine whether signatures are authentic or simulated (forged), as well as whether they are disguised. Forty‐five FDEs from nine countries evaluated nine different signature comparisons in this online study. Receiver Operating Characteristic (ROC) analyses revealed that FDEs performed in excess of chance levels, but performance varied as a function of signature complexity: Sensitivity (the true‐positive rate) did not differ much between complexity levels (i.e., 65% vs. 79% vs. 79% for low vs medium vs high complexity), but specificity (the true‐negative rate) was the highest (95%) for the medium complexity signatures and lowest (73%) for low complexity signatures. The specificity of high‐complexity signatures (83%) was between these values. The sensitivity for disguised comparisons was only 11% and did not vary across complexity levels. One hundred‐one novices also completed the study. A comparison of the area under the ROC curve (AUCs) revealed that FDEs outperformed novices in medium and high‐complexity signatures but not low‐complexity signatures. Novices also struggled to detect disguised signatures. While these findings elucidate the role of signature complexity in lay and expert evaluations, the error rates observed here may differ from those in forensic practice due to differences in the experimental stimuli and circumstances under which they were evaluated. This investigation of the role of signature complexity in the evaluation process was not intended to estimate error rates in forensic practice.
Molecular detection of Anaplasma phagocytophilum, Borrelia theileri and Severe fever with thrombocytopenia syndrome virus (SFTSV) in military working dogs and ticks collected from the Republic of Korea Army garrisons in Gangwon Province in 2021–2022
Authors: Kim Minsung , Cho Sunghoon , Park Gyeonggook , Kim Jeongyun , Rieu Misun , Noh Kyung Tae , Ha Sangyun , Park Quehn , Kim Du Hwan , Han Sangbeom , Jeon Geontae , Park Min Seong , Lee Buddle , Ha Beonmman , Park Ki Beom , Vasantha‐Srinivasan Prabhakaran , Han Yeon Soo , Lee Chanhee 
Published: August 2024

AbstractTick‐borne pathogens (TBPs) are an emerging concern to humans and animals in the Republic of Korea, especially within the military zones of Gangwon Province, a mountainous region abundant with wild fauna and ticks. This study aimed to detect six TBPs in military working dogs (MWDs) and ticks in this region using Nested polymerase chain reaction (nested PCR) and sequencing. The targeted pathogens included Anaplasma phagocytophilum, Bartonella henselae, Borrelia spp., Orientia tsutsugamushi, Severe fever with thrombocytopenia syndrome virus (SFTSV) and tick‐borne encephalitis virus (TBEV). A total of 164 serum samples from MWDs were collected at the Korean Army Military working dog training center and 1418 ticks were collected at various training sites between June 2021 and August 2022. Haemaphysalis longicornis was identified as the predominant species (98.3%, n = 1394), followed by Haemaphysalis flava (1.6%, n = 22) and Ixodes nipponensis (0.1%, n = 2). This study detected A. phagocytophilum and Borrelia theileri in 1.4% (1/72) of the tick pools and detected SFTSV in 0.6% (1/164) of MWD serum samples. The MWD found to be infected with SFTS was a German Shepherd, but showed no significant clinical signs, with a normal complete blood count (CBC). In the phylogenetic analysis, three sequences were acquired. One sequence (OR865211) exhibited 100% homology with 16S rRNA of A. phagocytophilum identified from animals and human patients in the Republic of Korea. Another sequence (OR865152) displayed 99.34%–100% sequence similarity with 16S rRNA of B. theileri fragments. The third sequence (OR865115), which belongs to the SFTS B‐1 genotype, showed 94.7% sequence similarity to a strain identified in the Republic of Korea (KY789441).
Pathogenic TDP‐43 accelerates the generation of toxic exon1 HTT in Huntington's disease knock‐in mice
Authors: Bai Dazhang , Deng Fuyu , Jia Qingqing , Ou Kaili , Wang Xiang , Hou Junqi , Zhu Longhong , Guo Mingwei , Yang Su , Jiang Guohui , Li Shihua , Li Xiao‐Jiang , Yin Peng 
Published: August 2024

AbstractHuntington's disease (HD) is caused by a CAG repeat expansion in exon1 of the HTT gene that encodes a polyglutamine tract in huntingtin protein. The formation of HTT exon1 fragments with an expanded polyglutamine repeat has been implicated as a key step in the pathogenesis of HD. It was reported that the CAG repeat length‐dependent aberrant splicing of exon1 HTT results in a short polyadenylated mRNA that is translated into an exon1 HTT protein. Under normal conditions, TDP‐43 is predominantly found in the nucleus, where it regulates gene expression. However, in various pathological conditions, TDP‐43 is mislocalized in the cytoplasm. By investigating HD knock‐in mice, we explore whether the pathogenic TDP‐43 in the cytoplasm contributes to HD pathogenesis, through expressing the cytoplasmic TDP‐43 without nuclear localization signal. We found that the cytoplasmic TDP‐43 is increased in the HD mouse brain and that its mislocalization could deteriorate the motor and gait behavior. Importantly, the cytoplasmic TDP‐43, via its binding to the intron1 sequence (GU/UG)n of the mouse Htt pre‐mRNA, promotes the transport of exon1‐intron1 Htt onto ribosome, resulting in the aberrant generation of exon1 Htt. Our findings suggest that cytoplasmic TDP‐43 contributes to HD pathogenesis via its binding to and transport of nuclear un‐spliced mRNA to the ribosome for the generation of a toxic protein product.