bluuebunny/crossref_metadata_2025_split huggingface dataset:
A sustainable approach for road pothole repair using waste plastic bottles and aggregates
Authors: Kombe Godlisten Gladstone 
Published: December 2024

PurposeThis study explores a sustainable method for repairing road potholes using a composite material made from waste polyethylene terephthalate (PET) plastic bottles and local aggregates. This study aims to address plastic waste management challenges and provide a cost-effective and durable road maintenance solution.Design/methodology/approachPET bottles were collected, sliced, cleaned and melted at 280°C. Coarse and fine aggregates were characterized per Central Materials Laboratory (CML) standards. Mixtures with varying PET and aggregate ratios were prepared, molded into specimens and tested for mechanical properties following ASTM D1559-89 and ASTM D3967 standards.FindingsThe optimal mixture (30% PET, 30% sand and 40% gravel) outperformed conventional asphalt mixtures, achieving a Marshall stability of 59.78 kN, indirect tensile strength of 5,909 kPa and a resilient modulus of 36,145 MPa, exceeding Tanzanian road construction standards.Research limitations/implicationsAlthough laboratory results are promising, further field trials are needed to evaluate the long-term performance and durability of the plastic-aggregate composite in real-world conditions.Practical implicationsThis solution offers a cost-effective, sustainable option for road pothole repair, especially in developing countries with budget constraints and significant plastic waste.Social implicationsBy repurposing plastic waste and providing durable road maintenance, this research supports the United Nations' SDGs, promotes environmental conservation and fosters economic development through improved transportation infrastructure.Originality/valueThis innovative method uses waste plastic bottles as a standalone repair material, eliminating petroleum or cementitious binders and promoting a circular economy. This approach utilizes waste streams, thereby reducing maintenance costs and addressing plastic waste issues.
A bibliometric review of artificial intelligence technologies in human resource management: an overview of research trends
Authors: Arora Meenal , Gupta Jaya , Mittal Amit , Prakash Anshika 
Published: December 2024

Purpose
This study aims to present systematic analysis of research concerning the intersection of human resource management (HRM) and the integration of artificial intelligence (AI) technologies within a digitalized economy further analyzing the trends in research with specific emphasis on utilization of diverse AI technologies within HRM.

Design/methodology/approach
This research is based on bibliometric analyses and content analyses. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses review methodology is implemented, using the Scopus database as the primary source which gathered 1,414 articles between 1978 and 2024. This study investigates publishing trends, the most prolific countries, universities, journals, publications and authors in the field. Further, the research trends based on the use of AI in HRM were accomplished through scientific mapping using VOSviewer.

Findings
The outcomes demonstrate a rising inclination toward using various AI techniques in HRM which shows increasing influence and growing appeal of the subject. The research uncovers the deployment of diverse technologies, including emerging ones, within the HRM field. It accomplishes this by scrutinizing the connections among various keywords and unearths both contradictions and focal areas of interest within the domain.

Originality/value
The study contributes to the existing body of literature by ascertaining suggestions for further research in the field of HRM integrated with various AI technologies. The integration of these technologies in HR holds a promising and optimistic outlook for the managers, thereby enhancing employee productivity.
Digital entrepreneurial marketing bricolage: shaping technology-in-practice
Authors: Alford Philip , Jones Rosalind 
Published: December 2024

Purpose The use of digital marketing technologies remains low in Small Medium Enterprises (SMEs), with digital transformation being a concern for governments globally. This study reports on the human-technology interaction process, using digital entrepreneurial marketing (DEM) bricolage and a sociomateriality lens to examine more deeply organisational interaction between marketers and digital marketing technologies in these firms.Design/methodology/approach A qualitative case study and purposive sampling approach are deployed, using seven SMEs in the same UK region. A bricolage and sociomateriality framework and template analysis are used to identify digital marketing strategies and challenges, levels of digital marketing bricolage and assess the value for each firm.Findings Firms practice different levels of DEM bricolage depending on the interactions of the marketers with digital marketing tools. Those marketers in firms who had higher levels of interaction between the human and the technological provided greater long-term strategic value for the SME.Originality/value This is the first study to apply a sociomateriality lens to bricolage in an SME digital marketing context and allows us to view the way in which employees interact with digital marketing technology and create value. There is scarce empirical data in this area despite numerous calls in the developing field of entrepreneurship and digitalisation in small and growing firms.
FlyingDog: design and implementation of a quadruped robot with flight capability
Authors: Hu Bo , Zhou Heng , Gui Yubao , Zhai Peng , Zhang Lihua , Dong Zhiyan 
Published: December 2024

Purpose
This paper aims to design a novel hybrid terrestrial-aerial robot, FlyingDog, including its modeling and implementation. By combining the complementary advantages of a quadrotor drone and a quadruped robot, FlyingDog demonstrates excellent maneuverability and high energy efficiency, showcasing great potential for applications in industrial inspection, field exploration, and search and rescue operations.

Design/methodology/approach
By integrating propellers and leg mechanisms, FlyingDog achieves hybrid motion, encompassing both aerial flight and ground movement. This paper first provides an overview of the robot’s structural design, emphasizing the minimization of interactions between the aerial and ground mechanisms while balancing the thrust-to-weight ratio and payload capacity. A distributed control framework is then proposed to achieve the hybrid motion, alongside the development of corresponding control strategies to ensure stability during various movements.

Findings
Experiments conducted in real-world conditions validated FlyingDog’s performance in terms of motion stability, energy efficiency, and obstacle-crossing ability. The results demonstrate that FlyingDog exhibits outstanding mobility by combining ground locomotion with aerial flight capabilities, allowing it to overcome challenging obstacles in purely ground-based mode. In ground mode, the robot achieved an energy efficiency of up to 93.5%.

Originality/value
The hybrid terrestrial-aerial robot presented in this paper features stable land and aerial mobility, a lightweight structure, high energy efficiency, and low manufacturing costs, making it a valuable innovation in the field of robotics.
Empowering sustainability practice via sustainability literacy: a mediated model
Authors: Panakaje Niyaz , Parvin S.M.Riha , Sheikh Niha , Kulal Abhinandan , Bazigha U.M. , Lasrado Babitha Shali , Irfana Shakira 
Published: December 2024

PurposeCombating unsustainable activities is a crucial barrier to sustainable development, since they have drastically escalated the climate change which needs an immediate attention by the Z generation. The study aims to examine the role of sustainability literacy, institutional initiatives and individual factors in impacting university students’ sustainable practices by giving due consideration to teacher support and student engagement.Design/methodology/approachWith the descriptive design, a survey questionnaire was used to gather data for this investigation, collecting responses from 419 university students from the region of Karnataka, India, with an impressive response rate of 96%. Following the data collection, statistical techniques, such as regression analysis, one sample t-test and structural equation modelling, were applied to evaluate the direct and indirect impacts of numerous sustainability factors on student’s sustainable practices.FindingsFirstly, we found that students need to have strong sustainable literacy, institutional initiatives and individual factors to amplify their sustainable practices. Moreover, mediating influence of teacher support and student engagement were also observed in the current research. Interestingly, student’s sociocultural environment and government initiatives played a moderating role in uplifting their sustainable practices.Research limitations/implicationsThe results illuminate the involvement of all the stakeholders in contributing to sustainable future through sustainable practices. However, this study limits its scope to educational setting and gives no importance towards parental upbringing and influence which can be addressed in the future research.Originality/valueWe provided a broader range of influencing factors to promote sustainable future for the future generation.
Examining the link between political connection and firm performance: the moderating effect of audit quality
Authors: Almarayeh Taha , Al-Hamadeen Radhi , Alshira’h Ahmad , Khassawneh Abd Alwali Lutfi , Zaidan Hala , Mowafi Omar 
Published: December 2024

Purpose
The purpose of this paper is to examine the relationship between political connections, audit quality and firm performance.

Design/methodology/approach
The sample of this investigation was sourced from 51 industry-listed firms on the Amman Stock Exchange (ASE) from 2009 to 2022. Ordinary least squares regression was used to investigate the association between political connections, audit quality and firm performance. Generalized least squares estimation method was used to verify that the outcomes are robust.

Findings
The study finds that listed companies with political connections have better performance than those without such ties. The findings also suggest that politically connected firms would prefer higher-quality financial reporting and, hence, appoint Big 4 auditors.

Originality/value
To the best of the authors’ knowledge, this analysis is one of the first to explore the relationship between political connections, audit quality and firm performance in Jordan. By documenting the role of Big 4 auditor as a motivating factor for politically connected firms to enhance firm performance, this paper enriches the political connection and auditor choice literature.
How does big data influence smart manufacturing in the presence of preventive maintenance? A multi-analytical investigation
Authors: Samadhiya Ashutosh , Naz Farheen , Kumar Anil , Garza-Reyes Jose Arturo , Luthra Sunil 
Published: December 2024

PurposeSmart manufacturing (SM) capitalizes on big data analytics (BDA) advancements by enhancing current capabilities such as defect identification and enabling supporting capabilities such as preventive maintenance (PM). The previous literature fails to investigate the comprehensive associations between SM, BDA and PM. Therefore, this study aims to investigate the relationship among SM, BDA and PM.Design/methodology/approachThe present research implements a multi-analytical PLS-SEM-ANN approach to investigate the relationships among BDA, PM and SM.FindingsThis investigation indicates that BDA is an effective digital technology that positively affects the operations of SM and PM. Furthermore, the results suggest that PM has a positive influence on SM and that it also positively mediates the relationship between BDA and SM, where PM cannot be treated as an auxiliary practice and plays an important role in SM as a primary operation. Furthermore, implementing the BDA enhances the performance of SM and PM.Originality/valueThe role of PM in the context of BDA and SM has been ignored in past research, and this study offers novelty by examining this relationship.
We do not want to leave: technology in the digital realm, business model innovation and the decline of SMEs global presence
Authors: Dung Luu Tien 
Published: December 2024

PurposeBy providing a practical and theoretical framework on the role of digitalization in business model innovation (BMI) and countermeasures liabilities of foreignness (LoF), we aim to provide small and medium-sized enterprises (SMEs) from emerging markets with the means to confront the reality of de-internationalization.Design/methodology/approachA quantitative design emphasizing mature theory design and collecting survey data from 210 SMEs in an emerging market. The data are analyzed using a confirmatory factor analysis (CFA) based on covariance-based SEM (CB-SEM), multiple regression analysis (MRA) and Hayes' process model.FindingsDigitalization was revealed to significantly and indirectly negatively affect SMEs’ de-internationalization via BMI. Besides, the conditional indirect effect of digitalization on de-internationalization through BMI is more robust and exists at the high LoF of SMEs.Originality/valueWe advise SMEs with a distinctive and relatively comprehensive strategy for coping with the pressures of de-internationalization or having their internationalization schedules perpetually altered through the lens of the resource-based view and institution theory.
From bad bosses to weakened marriages: the role of abusive supervision in emotional exhaustion, work–family conflict and marital strain
Authors: Farrukh Muhammad , Abas Basit , Ghazzawi Issam , Rafiq Muhammad 
Published: December 2024

PurposeThe study aims to explore and test the relationship between abusive supervision, emotional exhaustion, work–family conflict and divorce intentions among employees in the hospitality industry. Specifically, it investigates how abusive supervision leads to emotional exhaustion, which in turn intensifies work–family conflict and ultimately influences divorce intentions.Design/methodology/approachThe study used a mixed-methods design with an exploratory sequential approach. In the first phase, qualitative interviews with hotel employees explored the effects of abusive supervision on work and family life. Findings from these interviews informed the development of a framework for the second phase, which quantitatively tested the relationships between abusive supervision, emotional exhaustion, work–family conflict and intention to divorce.FindingsOur findings revealed that abusive supervision causes emotional exhaustion, which in turn leads to work–family conflict. However, we did not find any significant link between work–family conflict and the intention to divorce.Originality/valueTo the best of our knowledge, this study is among the first studies to explore the outcomes of abusive supervision using the mixed method approach, specifically the exploratory sequential design, to comprehensively examine the associations among abusive supervision, emotional exhaustion, work–family conflict and marital problems. This research contributes to leadership literature by providing empirical findings on the long-term impacts of abusive supervision.
Reimagining educator roles for adaptive learning: insights from the Gioia methodology in a tech-driven future
Authors: Saikrishna M.B 
Published: December 2024

Purpose
The purpose of this paper is to investigate how educators perceive and adapt their roles in the face of changes in technology-driven learning environments. The Gioia methodology explores how educators enable adaptive learning, broaden their pedagogical practice and promote cultural inclusivity to educate diverse students.

Design/methodology/approach
This paper involves a qualitative interpretive phenomenological research design using the Gioia methodology. Data was collected through semi-structured interviews with 14 educators across various disciplines. Gioia methodology is a structured exploration of first- and second-order themes and aggregate dimensions that capture the nuanced ways in which educators navigate adaptive learning contexts.

Findings
This study highlights how digital tools help enable personalized self-directed learning, how adaptive learning adapts educators to become more than just traditional teachers and how the culturally responsive teaching that is required in a globalized learning environment promotes inclusivity and resilience in a diverse group of learners.

Originality/value
This study contributes to the growing body of literature on adaptive learning and identifies educators’ critical, expanded roles in a technology-centred world. This research provides a structured, in-depth analysis of educator perspectives on adaptive learning using the Gioia methodology, offering unique insights into the policy and practice implications.
Strategies for environmental sustainability: analyzing the green and digital transitions
Authors: Kharb Ravita , Shri Charu , Saini Neha , Kumar Dinesh 
Published: December 2024

Purpose
Green and digital transitions (twin transition) help in achieving climate neutrality, cutting down the pollution level and reviving biodiversity. Organizations can mitigate their ecological footprint, improve their digital portfolio and fulfil their ethical responsibilities by fostering a sustainable global community and adhering to a well-defined plan. In such backdrop, this study aims to propose strategies by identifying the strengths, weaknesses, opportunities and threats of the twin transition and to categorize and evaluate the internal and external factors for achieving environmental sustainability.

Design/methodology/approach
Following a comprehensive review of the literature, 27 factors have been identified and analyzed using the strengths, weakness, opportunities and threat matrix (SWOT). Threats, opportunities, weakness, strength matrix analysis approach is used to limit risk, overcome weaknesses and take advantage of opportunities. Effective strategies are designed and implemented using strategic planning action and evaluation matrix (SPACE) and quantitative strategic planning (QSPM) approach.

Findings
The study found that aggressive strategies considering economic strength and global opportunities must be used to accomplish green growth objectives. Out of three strategies, the focus on green technological innovation by taking advantage of financial mechanisms at the international level is highly recommended to achieve environmental sustainability.

Research limitations/implications
Through promoting green and digital transformation, the current study provides insightful policy recommendations for economic development. It may help to improve operational efficacy and to obtain a competitive edge by successfully limiting their adverse environmental effects in the global market through the implementation of twin transition. The process of developing a strategy aids stakeholders, including society, workers and other parties, in giving environmental sustainability a top priority while making financial decisions.

Social implications
Strategy development helps society, employees and all the other stakeholders to prioritize their green and digital transition decisions for environmental sustainability.

Originality/value
The current study identifies the factors formulating strategies using SWOT, TOWS, SPACE and QSPM matrix analysis for achieving environmental sustainability in the pervasive twin transition.
Catalyzing strategy: guidelines for better strategy and strategic thinking
Authors: Allio Michael K. 
Published: December 2024

Purpose
VUCA times are pressuring senior executives more than ever to find pathways to growth, reinvention, and innovation. Strategy continues to be a primary tool in the toolkit, and yet execution is regularly rated as poor, and strategy is often misunderstood and misaligned. The article identifies patterns and symptoms of poor strategy processes and structures, and highlights successful approaches to activating strategy by breaking down barriers, communicating strategy more effectively, and creating the conditions for strategic thinking to permeate the organization.

Design/methodology/approach
This article usefully highlights trends in approaches to the strategy process and strategic practices, drawn from a range of recent robust surveys of thousands of senior strategists, CEOs, and senior executive teams across industries, sectors, continents. It also integrates examples and insights gleaned from applied strategy consulting engagements across industries, and curates contemporary examples from an array of sectors.

Findings
Most strategy execution is ineffective, slow, and misunderstood. Many strategy processes and structures do not overcome bureaucracy and misalignment, and many organizations lose sight of the links between mission, purpose, and strategy. Higher performing organizations invest in communicating strategy and purpose extensively, deploy dedicated strategy teams at multiple altitudes, and make strategy and strategic thinking a routine practice that informs decision-making (not a static, annual exercise).

Originality/value
Through succinct examples drawn from an array of industries and the distillation of a range of survey results of strategists and senior executives/CEOs, this paper identifies patterns and symptoms of poor strategy and poor strategic thinking, highlights examples of good strategic thinking and processes, and proposes practical guidelines for improvement to catalyze strategy and strategic thinking throughout an organization. The insights are relevant to an array of organizations, large, medium and small, across industries and sectors.
A hybrid network for three‐dimensional seismic fault segmentation based on nested residual attention and self‐attention mechanism
Authors: Sun Qifeng , Jiang Hui , Du Qizhen , Gong Faming 
Published: December 2024

AbstractFault detection is a crucial step in seismotectonic interpretation and oil–gas exploration. In recent years, deep learning has gradually proven to be an effective approach for detecting faults. Due to complex geological structures and seismic noise, detection results of such approaches remain unsatisfactory. In this study, we propose a hybrid network (NRA‐SANet) that integrates a self‐attention mechanism into a nested residual attention network for a three‐dimensional seismic fault segmentation task. In NRA‐SANet, the nested residual coding structure is designed to fuse multi‐scale fault features, which can fully mine fine‐grained fault information. The two‐head self‐attention decoding structure is designed to construct long‐distance fault dependencies from different feature representation subspaces, which can enhance the understanding of the model regarding the global fault distribution. In order to suppress the interference of seismic noise, we propose a fault‐attention module and embed it into the model. It utilizes the weighted and the separate‐and‐reconstruct channel strategy to improve the model sensitivity to fault areas. Experiments demonstrate that NRA‐SANet exhibits strong noise robustness, while it can also detect more continuous and more small‐scale faults than other approaches on field seismic data. This study provides a new idea to promote the development of seismic interpretation.