bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sustainable supply chain in green hydrogen industry in India using SAP-LAP and paradox framework
Authors: Harichandan Sidhartha , Kar Sanjay Kumar , Patnaik Rajnandan 
Published: February 2025

Purpose
This study aims to delve into how predictive maintenance (PM) strategies and supply chain optimization (SCO) can effectively integrate within the green hydrogen sector, enhancing operational efficiency and sustainability.

Design/methodology/approach
This study uses the situation, actor, process-learning, action, performance model of inquiry, enriched by insights from the paradox framework using expert opinions. The study is grounded in an empirical methodology, using in-depth interviews and discussions with industry experts to elucidate the complex dynamics.

Findings
Key findings from the expert interviews reveal a rich tapestry of challenges and opportunities. This study emphasizes the criticality of PM in reducing downtime and increasing the lifespan of key equipment in hydrogen production. Simultaneously, it underscores the pivotal role of SCO in ensuring the seamless flow of materials and energy, which is vital for the industry’s scalability and economic viability.

Originality/value
It is noted that this study contributes a detailed perspective to the existing body of literature, particularly focusing on the nuanced roles of PM and SCO in the green hydrogen value chain. This approach is distinct from prior studies that primarily concentrated on the hydrogen value chain, which have traditionally delved into the drivers, challenges and enablers of these areas.
Exploring key drivers for consumers’ willingness to adopt underground logistics systems: uses and gratification theoretical perspective
Authors: Li Fengshan , Li Xue , Yuen Kum Fai 
Published: February 2025

Purpose The underground logistics system (ULS) is noted to be an innovative delivery alternative that confers benefits such as improved logistics efficiency, reduced traffic congestion and better environmental protection for society. Consumer acceptance is crucial for the widespread application of ULS. Hence, this study aims to explore the drivers affecting consumers’ willingness to adopt an ULS anchored on the uses and gratification theory.Design/methodology/approach An online survey was implemented among 551 Singapore citizens and structural equation modeling was adopted to examine the theoretical model.Findings The findings suggest that most gratification variables (i.e. hedonic gratification, environmental protection gratification (EPG) and social gratification), mediated by perceived well-being and conscious attention, have significant effects on consumer adoption of the ULS. Moreover, as shown in the results of total effects, well-being perception exerts the largest impact on consumers’ adoption of ULS, followed by conscious attention, EPG, social gratification, hedonic gratification and convenience gratification.Originality/value This study contributes to enriching current theoretical research on consumers’ willingness to accept ULS, and providing several practical implications for logistic service providers and the government to promote consumers’ adoption of ULS.
AI and analytics conundrum: unpacking the barriers in modern HR with ISM and MICMAC analysis
Authors: Yadav Geetu 
Published: February 2025

Purpose
This study aims to identify and model deterrents to adopt and institutionalize analytics and artificial intelligence in modern human resource (HR) using interpretive structural modelling (ISM) and cross-impact matrix multiplication applied to classification (MICMAC) approach.

Design/methodology/approach
A comprehensive investigation of the literature and feedback from experts led to the identification of 16 deterrents in this study. After that, the ISM tool is used to find connections between the identified deterrents in the HR ecosystem and MICMAC which helps in categorising deterrents on the basis of driving and dependence power and provides deeper insights into their roles and significance.

Findings
Employee resistance and HR transformation are highly influenced by other factors but exert minimal driving power. Data availability, leadership support, communication and collaboration, legal, ethical and regulatory compliance, and infrastructure and resources exhibit strong influence and dependence, making them highly sensitive and crucial. Training and development, learning culture and change management, and data privacy and security have strong driving power with minimal dependence, indicating their foundational role in shaping HR transformation.

Research limitations/implications
This study will assist policymakers and owners/managers in the HR ecosystem in recognising and comprehending the importance and applicability of analytics and AI obstacles while developing HR strategies.

Originality/value
This study explicitly focuses on data analytics and AI technology in the current scenario. It also explores the relationship between deterrents and their driving and dependence powers.
AAHIN: attribute-aware heterogeneous information network representation learning for data mining
Authors: Wu Ling , Tian Yanru , Lu Jinlu , Guo Kun 
Published: February 2025

Purpose
Heterogeneous graphs, composed of diverse nodes and edges, are prevalent in real-world applications and effectively model complex web-based relational networks, such as social media, e-commerce and knowledge graphs. As a crucial data source in heterogeneous networks, Node attribute information plays a vital role in Web data mining. Analyzing and leveraging node attributes is essential in heterogeneous network representation learning. In this context, this paper aims to propose a novel attribute-aware heterogeneous information network representation learning algorithm, AAHIN, which incorporates two key strategies: an attribute information coverage-aware random walk strategy and a node-influence-based attribute aggregation strategy.

Design/methodology/approach
First, the transition probability of the next node is determined by comparing the attribute similarity between historical nodes and prewalk nodes in a random walk, and nodes with dissimilar attributes are selected to increase the information coverage of different attributes. Then, the representation is enhanced by aggregating the attribute information of different types of high-order neighbors. Additionally, the neighbor attribute information is aggregated by emphasizing the varying influence of each neighbor node.

Findings
This paper conducted comprehensive experiments on three real heterogeneous attribute networks, highlighting the superior performance of the AAHIN model over other baseline methods.

Originality/value
This paper proposes an attribute-aware random walk strategy to enhance attribute coverage and walk randomness, improving the quality of walk sequences. A node-influence-based attribute aggregation method is introduced, aggregating neighboring node attributes while preserving the information from different types of high-order neighbors.
Research on robotic monocular 6DOF vision localization grasping strategy for industrial objects
Authors: Wan Guoyang , Li Hanqi , Wang Qianqian , Wang Chengwen , He Qin , Li Xuna 
Published: February 2025

Purpose
To address the issue of large visual measurement errors caused by insufficient information collected by monocular vision when performing six-degree-of-freedom (6DOF) position measurements on metal castings, which hinders the robot’s ability to visually guide grasping, this paper aims to propose a 6DOF position measurement method that integrates monocular vision with deep neural networks.

Design/methodology/approach
This method enhances the robot’s ability to visually grasp small-sample industrial objects with high accuracy. By establishing a mapping relationship between the two-dimensional (2D) position of the object’s image and its three-dimensional (3D) position in space, the proposed approach achieves 6DOF position measurement of the target workpiece using monocular vision. An image enhancement algorithm based on a generative adversarial network (GAN) is introduced to improve robustness in industrial environments by addressing the challenge of acquiring image data for small-sample objects. Additionally, the method combines single-phase object detection using deep neural networks with 2D-3D affine transformation to achieve accurate 3D position measurements.

Findings
The introduction of the GAN-based image enhancement algorithm significantly mitigates the robustness issues posed by the difficulties in obtaining image data for small-sample objects in industrial settings. The integration of single-phase object detection and 2D–3D affine transformation allows for precise 3D position measurement of the workpiece. Experimental results demonstrate that the proposed method provides high accuracy in 6DOF position measurements for industrial objects.

Originality/value
This approach overcomes the limitations of traditional vision algorithms for 3D position measurement of industrial objects, such as high cost and poor robustness. The experimental validation confirms that the proposed method achieves excellent 6DOF position measurement accuracy for industrial objects.
Social work must use its collective voice to advocate with and for, carers rights and their protection from harm
Authors: Daniels Jade 
Published: February 2025

Purpose
This paper aims to offer a reflective discussion of carers who may be experiencing or at risk of abuse or harm in their caring role. Furthermore, it makes some suggestions about how carers could be better protected in the future. Grounded in a practitioner’s reflection of working with a single family, this paper goes on to explore the extent to which carers at risk of harm are recognised and supported by social work and allied professionals.

Design/methodology/approach
The approach to this paper is a reflective analysis, using the Gibbs’ (1988) reflective cycle. This study explores the practice experiences of an early career adult-focussed statutory social worker in England.

Findings
This paper has identified some of the impact in which the current social care climate is having on carers at risk of or experiencing abuse and harm. Such impact includes individuals who may not clearly meet the threshold criteria under Section 41(1) of the Care Act 2014. In addition, the use of specialist teams to complete carer assessments may be deskilling social workers and impacting holistic and person-centred outcomes for carers.

Originality/value
This paper intends to open discussion regarding under-researched and the often under-acknowledged issue of carers at risk of abuse and harm. The practical and ethical aspects of this issue are also rarely discussed, something this paper aims to do. This paper combines the reflective experiences and perspectives of the author, alongside literature to support depth and evidence within discussions. Some of the views may resonate, others may spark debate, both of which is needed for meaningful change.
Information in practice and the building of a “Learning Alliance” in an Irish community
Authors: Muzzarelli Andrea 
Published: February 2025

PurposeDesigned as an educational hub for sustainability, the Irish ecovillage of Cloughjordan is dealing with a significant challenge: creating stronger synergies between its educators to maximize its impact on the mainstream. Based on the empirical findings of a study conducted in this community, this paper aims to identify the principal informational and organisational factors that might encourage the development of such synergies.Design/methodology/approachCoherently with practice-related and ethnographic methodological principles, data were primarily collected through participant observation and semi-structured, open-ended interviews.FindingsThe lack of collaboration and information sharing between educational practices is relatable to different understandings and meanings about education for sustainability that are amplified by some power asymmetries.Research limitations/implicationsThe analysis of the community’s educational practices may have been limited by the many interruptions brought by the recent pandemic.Originality/valueThis is the very first study to explore the educational activities of the ecovillage of Cloughjordan, and one of the first ones to combine the notions of “information in social practice” and “communities of practice” to explore a real-life project.
Key factors contributing to construction delays in high-rise building projects: a case study of Nigeria’s developing urban landscape
Authors: Oyediran Abiola Oluwasogo , Akinradewo Opeoluwa , Onososen Adetayo Olugbenga , Koriko Oluwagbemisola 
Published: February 2025

Purpose
The rapid urbanization in Nigeria has led to an increased demand for high-rise buildings, yet the construction industry continues to grapple with significant delays that impede project timelines, budgets, performance and the efficiency of post-construction facilities management (FM). Therefore, this study aims to investigate the key delay factors undermining high-rise project delivery in Nigeria using a case study approach to establish fundamental delay causes.

Design/methodology/approach
This paper adopted a mixed-method approach using questionnaires and interviews. Questions were formulated on the identified 38 common delay factors from the literature. Data acquired were analyzed using Relative Importance Index (RII), mean score, Kruskal–Wallis test and content analysis.

Findings
Key findings revealed 16 critical delay causal factors classified into 4 groups. This study unveils client-related and external factors as the most predominant causative groups. The top five most significant delay causative factors impacting high-rise projects’ performance were identified. Revealed lack of credit facilities and cash flow problems as the main factors inducing unanticipated delay events in high-rise projects. This study found delay factors experienced are excusable and compensable, particularly prominent during the finishing and procurement stages in high-rise projects.

Originality/value
This study unveils the critical delay causes undermining high-rise building project delivery in Nigeria, focusing on both construction and FM perspectives. Through a case study approach, it establishes fundamental delay causative factors and highlights their long-term impact on the operational efficiency and maintenance of high-rise buildings. This study provides built environment professionals insights into key delay factors, offering guidance on modifying work practices to improve project delivery and FM postcompletion.
The impact of IFRS13 on earnings management of IAS39 reclassifying firms following the 2008 financial crisis
Authors: Elleuch Hamza Sarra , Ajili Asma 
Published: February 2025

Purpose
The purpose of this paper is to determine the effect of the “IFRS13: Fair value measurement” standard on earnings management behavior of IAS39 reclassifying firms.

Design/methodology/approach
The authors assess accrual-based earnings management following the Kothari et al.’s (2005) model. Real earnings management is identified by a comprehensive measure that combines overproduction, sales manipulation and discretionary expenditures. The authors measure the impact of “IFRS13: Fair Value Measurement” adoption on earnings management using Mann–Whitney’s comparison tests and simultaneous equation systems.

Findings
The findings show that IAS39 reclassifying firms increase their accounting earnings management before adopting “IFRS13: Fair Value Measurement.” However, this accounting manipulation diminishes after implementing this standard. IAS39 reclassifying firms switch to real earnings management alternatives.

Research limitations/implications
First, the study examined the two earnings management practices of companies that have adopted IAS39 amendments, yet it did not focus on the amount subject to manipulation because of the reclassification of assets. Second, the study did not distinguish between the different levels of fair value hierarchy when determining the impact of “IFRS13: Fair Value Measurement” adoption on earnings management.

Practical implications
These findings support the decisions of accounting standards setters to address untraceable recognition and measurement choices inherent in accounting standards.

Originality/value
The authors explore companies that took advantage of the positive effect of the IAS39 amendments on earnings before and after “IFRS13: Fair Value Measurement” adoption. The most important contribution of this study is to determine whether or not “IFRS13: Fair Value Measurement” reduces the accounting flexibility used by IAS39 reclassifying firms. Therefore, the specific aim is to examine the earnings management behavior of companies that benefited from the flexibility of the reclassification offered by the IAS39 amendments as an accounting manipulation instrument before and after IFRS13 standard adoption. Previous studies have not examined this effect.
Telemedicine in Tanzania: a systematic literature review
Authors: Mwogosi Augustino 
Published: February 2025

PurposeThis review explores the challenges and opportunities of implementing telemedicine in rural Tanzania. The study examines how telemedicine can address healthcare gaps in underserved areas and identifies key barriers that hinder its full adoption. It also provides insights into strategies for improving healthcare delivery through telemedicine in rural settings.Design/methodology/approachA systematic literature review methodology was employed following the PRISMA guidelines. The study collected and analysed relevant academic and grey literature from PubMed, Google Scholar and Scopus databases. The search focused on telemedicine in rural Tanzania, with a thematic analysis used to categorise the challenges and opportunities identified in the literature.FindingsThe review found that the major challenges to telemedicine implementation in rural Tanzania include inadequate telecommunications infrastructure, limited digital literacy among healthcare providers, insufficient financial investment and weak regulatory frameworks. Despite these barriers, telemedicine presents significant opportunities to improve healthcare access, particularly by connecting rural patients with specialists, reducing travel times and integrating telemedicine with national health insurance systems. Innovations such as drone-based medical deliveries and SMS-based health interventions also show promise.Originality/valueThis paper comprehensively overviews telemedicine’s potential to transform healthcare delivery in rural Tanzania. It synthesises existing literature, highlights critical gaps in telemedicine adoption and proposes actionable strategies for overcoming these barriers. The study contributes valuable insights for policymakers, healthcare providers and stakeholders interested in leveraging telemedicine to enhance healthcare outcomes in underserved regions.
Industrial circular ecosystem entrant: examining small firms
Authors: Quttainah Majdi A. , Haque Shamima , Panda Debadrita , Rana Sudhir 
Published: February 2025

PurposeThis study serves a dual purpose. First, it aims to explore the phase-wise progression that small and medium-sized enterprises (SMEs) and startups must undertake to become successful ecosystem partners, supporting large industrial firms in their circular transition. Second, it seeks to examine how these small firms manage change and foster collaborative cultures through strategies enabled by positive organizational scholarship (POS) during their phased evolution. Design/methodology/approachThis study provides empirical evidence through a multiple case study-based approach involving 12 born-circular SMEs/startups from 5 diverse Indian industrial sectors. Insights were gathered by conducting two rounds of semi-structured interviews with 24 participants and one validatory seminar with eight participants.FindingsThis research identified three distinct and complementary phases – compare, compete and collaborate – that SMEs/startups can undergo to emerge as successful ecosystem partners. Each phase encompasses specific business practices, including various circular activities. These activities serve as clear indicators of the smaller firms’ potential competence in aiding larger firms during their circular transitions.Originality/valueThis paper contributes to the theoretical understanding of the circular economy by outlining a trajectory for SMEs/startups to establish successful partnerships. Another contribution is the application of POS as a positive change management paradigm to facilitate circularity. Additionally, the study highlights the context of developing nations, which remain underexplored compared to their developed counterparts in circularity initiatives.
Upgrade of the “Nursecare” nurse call system in nursing homes
Authors: Maučec Hugo 
Published: February 2025

Purpose
Nurses at the nursing home are very busy, as they have to take care of the residents, organise the necessary documentation, enter nursing and care data, take care of the tasks of administering therapies and medications, provide important information to colleagues and respond as quickly as possible to urgent calls. The purpose of this study is to upgrade the existing IP nurse call system at the nursing home with the ‘NURSECARE’ system, to improve nursing and care services, continuously store the performed work of the employed medical staff and integrated SIP protocol (communication between nurses with iNurse and resident’s rooms – NurseTab).

Design/methodology/approach
The introduction of the “NURSECARE” system will facilitate and optimise the work of nurses at the nursing home.

Findings
The study findings improve the quality of services and programmes and other forms of assistance by increasing the effectiveness of management and leadership.

Originality/value
The study findings improve the quality of services and programmes and other forms of assistance by increasing the effectiveness of management and leadership.
Mechanistic insights into the multitarget synergistic efficacy of farrerol and β-lactam antibiotics in combating methicillin-resistant
Staphylococcus aureus
Authors: Yu Hangqian , Wang Li , Liu Xin , Zheng Jianze , Xiang Hua , Zheng Yanyang , Lv Dongmei , Yang Jingjing , Zhang Yuxin , Qiu Jiazhang , Wang Dacheng 
Published: February 2025

ABSTRACT

Methicillin-resistant
Staphylococcus aureus
(MRSA), a principal causative agent of infections worldwide, urgently requires innovative interventions to counter its increasing risk. The present study revealed the profound impact of farrerol (FA), a robust bioactive agent, on the virulence and resistance mechanisms of MRSA. Our in-depth investigation revealed that FA significantly mitigated the β-lactam resistance of MRSA USA300, an achievement attributed to its precise interference with the BlaZ and Pbp2a protein. Additionally, FA indirectly diminishes the oligomerization of PBP2a by disrupting pigment synthesis, further contributing to its efficacy. In addition, FA extends its functional footprint beyond resistance modulation, exhibiting substantial antivirulence efficacy through selective inhibition of the accessory gene regulator (Agr) system, thereby significantly curbing MRSA pathogenicity in A549 cell and murine models. This study comprehensively explored the multiple impacts of FA on MRSA, shedding light on its versatile role as a BlaZ suppressor, pigment synthesis regulator, and AgrA activity modulator. These intricate findings firmly position FA as a compelling therapeutic candidate for addressing MRSA infections in the clinic.