bluuebunny/crossref_metadata_2025_split huggingface dataset:
Kinetic Implications of IP6Anion Binding on the Molecular Switch of the HIV-1 Capsid Assembly
Authors: Gupta Manish , Hudait Arpa , Yeager Mark , Voth Gregory A. 
Published: December 2024

AbstractHIV-1 capsid proteins (CA) self-assemble into a fullerene-shaped capsid, enabling cellular transport and nuclear entry of the viral genome. A structural switch comprising the Thr-Val-Gly-Gly (TVGG) motif either assumes a disordered coil or a 310helix conformation to regulate hexamer or pentamer assembly, respectively. The cellular polyanion inositol hexakisphosphate (IP6) binds to a positively charged pore of CA capsomers rich in arginine and lysine residues mediated by electrostatic interactions. Both IP6 binding and TVGG coil-to-helix transition are essential for pentamer formation. However, the connection between IP6 binding and TVGG conformational switch remains unclear. Using extensive atomistic simulations, we show that IP6 imparts structural order at the central ring, which results in multiple kinetically controlled events leading to the coil- to-helix conformational change of the TVGG motif. IP6 facilitates the helix-to-coil transition by allowing the formation of intermediate conformations. Our results identify the key kinetic role of IP6 in HIV-1 pentamer formation.
Balancing power and growth in start-ups: an investigation of founder control, board size, and fundraising efficiency
Authors: Hsiao Yi-Chi , Liu Cheng-Hsi , Yeh Chun-Ping 
Published: December 2024

Purpose
The purpose of this study is to scrutinize the relationship between the founder’s control level over the startup and the startup’s board size on fundraising efficiency, in addition to examining how these factors are influenced by different resource combinations that the startup attracts.

Design/methodology/approach
A sample of 1356 firm-year observations is collected from both the startup database of Business Next Media Corp. in Taiwan and the Company Registration and Business Registration Database of Taiwan’s Ministry of Economic Affairs’ Department of Commerce. The panel data analytic approach with fixed effect is used for hypothesis testing.

Findings
The founder’s shareholding negatively correlates with fundraising efficiency; such a negative relationship can be alleviated by incorporating foreign investors. The board size positively correlates with fundraising efficiency; such a positive relationship can be mitigated by the inclusion of external corporate directors.

Originality/value
While a conventional understanding posits that startups with diverse, multiplex and symmetrical boards can rapidly construct a diverse alliance portfolio, henceforth always being beneficial to growth, this research challenges this notion by probing the possible adverse effects of having an excessive number of outside corporate directors on a startup’s fundraising efficiency.
Unveiling the antecedents of career sustainability in project management
Authors: Jacob Beatriz , Mosquera Pilar 
Published: December 2024

Purpose
Despite the significant growth of project management as a field, it remains undervalued as a recognised career path within many organisations. This study aims to address this gap by investigating the factors that contribute to the sustainability of project managers’ careers. Specifically, this research assesses the role of career motivation, organisational support and supervisor support in enhancing career sustainability.

Design/methodology/approach
Using a sample of 224 project managers, a conceptual model is tested using partial least squares.

Findings
Career motivation, supervisor support and organisational support all play crucial roles in enhancing project managers’ perception of career sustainability. Supervisor support positively influences career motivation, and the latter mediates the relationship between supervisor support and one dimension of career sustainability – resourcefulness. Besides, organisational support is positively related to resourcefulness. The model demonstrates a good explanatory power of career sustainability, especially resourcefulness.

Research limitations/implications
The use of a convenience sample limits generalisability. Future research should include diverse cultural contexts and longitudinal designs to better establish causal relationships.

Practical implications
Organisations should develop programmes to enhance project managers’ career motivation and provide tailored supervisor support. Investing in both tangible and intangible resources will help sustain their career paths.

Originality/value
This study advances the project management literature by integrating personal and contextual factors into a comprehensive model of career sustainability. It highlights the synergistic effects of career motivation, organisational support and supervisor support.
Impact of operational excellence frameworks on sustainable performance in services: a qualitative study
Authors: Siefan Shatha , Antony Jiju , Mayyas Ahmad , Omar Mohammed , Prashar Anupama , Tortorella Guilherme , Foster Monika , Maalouf Maher 
Published: December 2024

PurposeThis study investigates the adoption and effects of operational excellence methodologies on sustainable performance within the sector, drawing insights from 18 global quality management experts.Design/methodology/approachUtilizing a phenomenological approach alongside constant comparison, classical content and taxonomy analysis, qualitative data from semi-structured interviews are rigorously examined. The study examines the challenges and outcomes of implementing lean, six sigma and lean six sigma, particularly in the financial, social and environmental realms. By integrating academic research with real-world applications, this research identifies challenges and opportunities across diverse service industries, with the aim of informing best practices for practitioners.FindingsThe findings highlight a significant impact on financial outcomes, with lean six sigma implementations predominantly enhancing financial performance. However, perceptions differ regarding sustainability and the acknowledgment of such impact. In terms of social performance, opinions vary from consistently positive impact to a dual effect – both positive and negative. Regarding environmental impact, perspectives range from limited to significant positive outcomes. Additionally, quantitative analysis of operational measures underscores a noteworthy emphasis on financial performance, with a grand average of 4.23. Social performance marginally surpasses environmental performance, with averages of 3.01 and 2.95, respectively.Originality/valueThe critical role of the service sector in modern economies highlights the imperative for enhancing operational efficiency and sustainability. The findings highlight the importance of proactively integrating lean six sigma principles into the operational frameworks of service organizations to optimize both operational and sustainable performance.
A text classification method combining in-domain pre-training and prompt learning for the steel e-commerce industry
Authors: Peng Qiaojuan , Luo Xiong , Yuan Yuqi , Gu Fengbo , Shen Hailun , Huang Ziyang 
Published: December 2024

Purpose
With the development of Web information systems, steel e-commerce platforms have accumulated a large number of quality objection texts. These texts reflect consumer dissatisfaction with the dimensions, appearance and performance of steel products, providing valuable insights for product improvement and consumer decision-making. Currently, mainstream solutions rely on pre-trained models, but their performance on domain-specific data sets and few-shot data sets is not satisfactory. This paper aims to address these challenges by proposing more effective methods for improving model performance on these specialized data sets.

Design/methodology/approach
This paper presents a method on the basis of in-domain pre-training, bidirectional encoder representation from Transformers (BERT) and prompt learning. Specifically, a domain-specific unsupervised data set is introduced into the BERT model for in-domain pre-training, enabling the model to better understand specific language patterns in the steel e-commerce industry, enhancing the model’s generalization capability; the incorporation of prompt learning into the BERT model enhances attention to sentence context, improving classification performance on few-shot data sets.

Findings
Through experimental evaluation, this method demonstrates superior performance on the quality objection data set, achieving a Macro-F1 score of 93.32%. Additionally, ablation experiments further validate the significant advantages of in-domain pre-training and prompt learning in enhancing model performance.

Originality/value
This study clearly demonstrates the value of the new method in improving the classification of quality objection texts for steel products. The findings of this study offer practical insights for product improvement in the steel industry and provide new directions for future research on few-shot learning and domain-specific models, with potential applications in other fields.
Strategic deployment of energy storage systems in the Indian power grid
Authors: Gupta Laxmi 
Published: December 2024

PurposeThe transition from centralized thermal power plants to distributed renewable energy sources complicates the balance between power supply and load demand in electrical networks. Energy storage systems (ESS) offer a viable solution to this challenge. This research aims to analyze the factors influencing the implementation of ESS in the Indian smart grid.Design/methodology/approach To analyze the factors affecting ESS deployment in the grid, the SAP-LAP framework (situation-actor-process and learning-action-performance) integrated with e-IRP (efficient-interpretive ranking process) was used. The variables of SAP-LAP elements were selected from expert opinion and a literature review. Here, e-IRP was utilized to prioritize elements of SAP-LAP (actors in terms of processes and actions in terms of performance).Findings This analysis prioritized five stakeholders in the Indian power industry for energy storage implementation: government agencies/policymakers, ESS technology developers/manufacturers, private players, research and development/academic institutions, and contractors. Furthermore, the study prioritized the necessary actions that these stakeholders must take.Research limitations/implications The study’s findings help identify actors and manage different actions in implementing grid energy storage integration. Ranking these variables would help develop a strategic roadmap for ESS deployment and decisions about adopting new concepts.Originality/value It is one of the first attempts to analyze factors influencing ESS implementation in the power grid. Here, qualitative and quantitative methodologies are used to identify and prioritize various aspects of ESS implementation. As a result, the stakeholder can grasp the concept much more quickly.
ChatGPT: a transformative role in academia–insights into academic staff performance since adoption
Authors: Sadallah Mouad , Bin-Nashwan Saeed Awadh , Benlahcene Abderrahim 
Published: December 2024

Purpose
The escalating integration of AI tools like ChatGPT within academia poses a critical challenge regarding their impact on faculty members’ and researchers’ academic performance levels. This paper aims to delve into academic performance within the context of the ChatGPT era by exploring the influence of several pivotal predictors, such as academic integrity, academic competence, personal best goals and perceived stress, as well as the moderating effect of ChatGPT adoption on academic performance.

Design/methodology/approach
This study uses a quantitative method to investigate the impact of essential variables on academic integrity, academic competence, perceived stress and personal best goals by analysing 402 responses gathered from ResearchGate and Academia.edu sites.

Findings
While affirming the established direct positive relationship between academic integrity and performance since adopting AI tools, this research revealed a significant moderating role of ChatGPT adoption on this relationship. Additionally, the authors shed light on the positive relationship between academic competence and performance in the ChatGPT era and the ChatGPT adoption-moderated interaction of competence and performance. Surprisingly, a negative association emerges between personal best goals and academic performance within ChatGPT-assisted environments. Notably, the study underscores a significant relationship between heightened performance through ChatGPT and increased perceived stress among academicians.

Practical implications
The research advocates formulating clear ethical guidelines, robust support mechanisms and stress-management interventions to maintain academic integrity, enhance competence and prioritise academic professionals’ well-being in navigating the integration of AI tools in modern academia.

Originality/value
This research stands out for its timeliness and the apparent gaps in current literature. There is notably little research on the use of ChatGPT in academic settings, making this investigation among the first to delve into how faculty and researchers in education use OpenAI.
Leveraging technological readiness and green dynamic capability to enhance sustainability performance in manufacturing firms
Authors: Ullah Sami , Kukreti Mohit , Sami Abdul , Shaukat Muhammad Rehan 
Published: December 2024

PurposeThis research explains the critical role of technological readiness and green dynamic capabilities in enhancing the sustainability performance of manufacturing firms, which is pivotal for achieving the United Nations’ Sustainable Development Goals. The theoretical framework is grounded in the dynamic capability theory, positing that technological readiness enhances a firm’s green dynamic capabilities, and employee green behavior moderates the effect on the sustainability performance of manufacturing firms.Design/methodology/approachQuantitative data from 1,660 managerial employees of a diverse sample of manufacturing firms was aggregated at the firm level using interclass correlation and interrater agreement, ensuring robustness using at least two responses per firm. With the final dataset of 418 firms, structural equation modeling was conducted using AMOS26.FindingsThe findings reveal that technological readiness positively affects sustainability performance and enhances it through green dynamic capabilities. Furthermore, the study highlights the positive moderating role of employees’ green behavior, amplifying the impact of green dynamic capabilities on sustainability performance.Originality/valueThis research makes a novel contribution to the body of knowledge by integrating dynamic capability theory with empirical evidence on sustainability performance. It represents a significant step toward promoting a more sustainable and responsible future for organizations and society and provides comprehensive insights into the complex interplay of these variables. These insights are crucial for academia, industry practitioners and policymakers striving to foster sustainable practices within the manufacturing sector.
Facilitating Construction 5.0 for smart, sustainable and resilient buildings: opportunities and challenges for implementation
Authors: Yitmen Ibrahim , Almusaed Amjad , Alizadehsalehi Sepehr 
Published: December 2024

PurposeThe concept of Construction 5.0 has emerged as the next frontier in construction practices and is characterized by the integration of advanced technologies with human-centered approaches, sustainable practices and resilience considerations to build smart and future-ready buildings. However, there is currently a gap in research that provides a comprehensive perspective on the opportunities and challenges of facilitating Construction 5.0. This study aims to explore the opportunities and challenges in facilitating Construction 5.0 and its potential to implement smart, sustainable and resilient buildings.Design/methodology/approachThe structural equation modeling (SEM) method was used to evaluate the research model and investigate the opportunities and challenges related to Construction 5.0 in its implementation for smart, sustainable and resilient buildings.FindingsThe results show that adopting human-centric technology, sustaining resilience and maintaining sustainability in the architecture, engineering and construction (AEC) industry seizes the opportunities to overcome the challenges for facilitating Construction 5.0 in the implementation of smart, sustainable and resilient buildings.Practical implicationsThe AEC industry facilitating Construction 5.0 has the potential to redefine the future of construction, creating a built environment that is not only intelligent, sustainable and resilient but also deeply connected with the well-being and values of the communities it serves.Originality/valueThe research illuminates the path forward for a holistic understanding of Construction 5.0, envisioning a future where smart, sustainable and resilient buildings stand as testaments to the harmonious collaboration between humans and technology.
Critical edge: shaping the future of skills management for organizational success
Authors: Blumberg Max , Levenson Alec 
Published: December 2024

Purpose
Organizations face increasing pressure to optimize their human capital management strategies in today’s competitive business environment. As the nature of work evolves, the ability to identify, develop and leverage critical thinking skills has become paramount for organizational success. The purpose of this paper is to introduce the Critical Edge Skills Framework (CESF), a novel approach to skills management that focuses on the cognitive demands of various roles within an organization.

Design/methodology/approach
The CESF provides a structured method for categorizing skills based on the level of critical thinking required and the nature of the work involved. By adopting this framework, organizations can better align their talent acquisition, development and succession planning strategies with the cognitive demands of different roles, ultimately driving strategy execution, innovation and competitive advantage.

Findings
The CESF represents a significant advancement in how organizations approach talent acquisition, development and succession planning. By adopting this framework, organizations can better understand the cognitive demands of various roles, align talent with the appropriate level of critical thinking and ensure that employees are well-suited to the nature of their work, whether it involves designing or executing tasks.

Originality/value
This paper’s skills taxonomy: provides a clear progression of cognitive abilities, from foundational skills to leadership and transformational thinking, allowing organizations to better understand critical thinking development; helps organizations identify the cognitive abilities required for different job roles, enabling more targeted and cost-effective talent acquisition, training and development; emphasizes the importance of higher-order thinking skills, which are crucial for driving innovation and organizational success; aligns with common educational frameworks, ensuring that graduates possess the critical thinking skills required by the modern workforce; and clarifies skill requirements, making it more manageable to determine the most suitable production resource for specific tasks. This optimizes the use of organizational resources and enhances productivity.
Commentary on “Looking towards the future: the potential of Precision Teaching in the work of the educational psychologist in Ireland”. Considerations when using Precision Teaching to support students with complex learning needs
Authors: Diffley Shauna , McTiernan Aoife 
Published: December 2024

Purpose
This paper aims to endorse and elaborate on the recommendations put forward by Griffin and Mannion (2024).

Design/methodology/approach
Specifically, this paper aims to expand on the potential for the application of Precision Teaching (PT) at the School Support Plus (for a few) level of the Irish continuum of support.

Findings
This paper focuses on applying PT to support learners with complex learning needs and emphasises the importance of viewing PT as a flexible system that can be adapted to support all learners.

Originality/value
Considerations and adaptations for using the PT system to support learners with complex learning needs are discussed, including count times, frequency aim ranges, practice type and assuring assent and social validity.
Assessing the influence of artificial intelligence on sustainable consumption behavior and lifestyle choices
Authors: Sharma Animesh Kumar , Sharma Rahul 
Published: December 2024

Purpose
Artificial intelligence (AI) has advanced at a rapid pace in the 21st century, and this has had a profound impact on many facets of human behavior, most notably the attitudes toward sustainable consumption and the lifestyles of consumers. Young consumers are at the forefront of AI technology adoption due to their upbringing in an era dominated by technological advancements, and these technologies are changing the way they engage with brands, make purchases and practice sustainability. This research paper aims to investigate the influence of AI on sustainable consumption behavior and lifestyle choices among young consumers.

Design/methodology/approach
This research study examines the complex effects of AI on young consumers using the Unified Theory of Acceptance and Use of Technology 2 model. This study addresses the intricacies and issues related to AI, such as the risk of overconsumption and the environmental impact of AI technologies, while also examining how AI-driven tailored experiences improve consumer engagement and promote sustainability. Structural equation modeling (SEM) was used to evaluate the hypotheses and produce solid insights into the connections between consumer behavior, sustainable consumption and the adoption of AI.

Findings
The results highlight the necessity of adopting AI in a balanced manner and stress the significance of coordinating AI advancements with sustainability goals.

Originality/value
This study offers a significant contribution to the body of knowledge by examining the relationships between the adoption of AI, environmental consciousness and sustainable consumption. It also offers practical suggestions for encouraging consumers to engage in eco-friendly activities and responsible consumption.