bluuebunny/crossref_metadata_2025_split huggingface dataset:
Examining inter-relationships among 21st century learning skills and their impacts on tertiary learners’ readiness for careers in Industry Revolution 4.0 era
Authors: Yeoh Hong Beng , Wei Chooi Yi , Kaur Surindar , Kaur Malvin 
Published: November 2024

PurposeAs the world is embarking on Industry Revolution 4.0 (IR 4.0), employers demand more learning and soft skills from graduates to adapt to agile and disruptive work environments. Hence, 21st century learning skills are vital for sustainable career advancement in the current job paradigm shift initiated by IR 4.0-driven technologies. This research examines inter-relationships among 21st century skills and their effects on tertiary learners’ readiness for future employment in IR 4.0 era.Design/methodology/approachThe quantitative research methodology with a questionnaire survey is used. Question items in the questionnaire were adapted from past studies. A sample of tertiary learners who are currently pursuing their final year degree programs in a comprehensive university are recruited using a multi-staged cluster sampling technique. Partial least square-structural equation modeling (PLS-SEM) is applied to analyze data collected from 174 respondents.FindingsThe research findings reveal that tertiary learners’ critical thinking and problem-solving skills significantly influence their perceived readiness to face future employment in IR 4.0 era. Tertiary learners’ communication skills facilitate better collaboration skills that directly influence their problem-solving skills. Their critical thinking skills partially mediate the effect of tertiary learners’ creativity skills on their problem-solving skills.Originality/valueThese research findings provide insights into the inter-relationships among 21st century learning skills that significantly influence tertiary learners’ readiness for their future careers so that stakeholders, including tertiary learners, lecturers and higher education policymakers, can work hand-in-hand toward enhancing employability among fresh graduates in IR 4.0 era.
Online review based IPA and IPCA: the case of Korean mobile banking apps
Authors: Kim Sohui , Ryu Min Ho 
Published: November 2024

PurposeThis study introduces a novel approach to conducting importance-performance analysis (IPA) and importance-performance competitor analysis (IPCA) by utilizing online reviews as an alternative to traditional survey-based marketing research.Design/methodology/approachIn order to conduct IPA and IPCA utilizing online reviews, the following three steps were executed: (1) Extract key attributes of the product/service with latent Dirichlet allocation (LDA) topic modeling. (2) Measure the importance of each attribute with keyword analysis. (3) Measure the performance of each attribute with KoBERT-based sentiment analysis.FindingsBy utilizing LDA, we were able to identify significant attributes identified by real users’ reviews. The approach of evaluating attribute importance using keyword metrics offers the advantage of straightforward computations, reducing computational expenses and facilitating intuitive metric assessments. The evaluation of BERT-based performance involved adapting pre-trained language models to the specific analysis domain, resulting in substantial time savings without compromising accuracy, ultimately bolstering the dependability of the metrics. Lastly, the case study’s findings indicate a growing emphasis on the aesthetic aspects of mobile banking apps in South Korea while highlighting the pressing need for enhancements in critical areas such as stability and security, which are particularly pertinent to the finance industry.Originality/valuePrevious studies have limitations in assessing significance solely based on sentiment scores and review ratings, resulting in an inability to independently measure satisfaction and importance metrics. This research addresses these limitations by introducing a keyword frequency-based importance metric, enhancing the accuracy and suitability of these measurements independently. In the context of performance measurement, this study utilizes pre-trained large language models (LLMs), which provide a cost-effective alternative to previous methods while preserving measurement accuracy. Additionally, this approach demonstrates the potential for industry-wide competitive analysis by enabling comparisons among multiple competitors. Furthermore, the study extends the application of review data-based IPA and IPCA, traditionally used in the tourism sector, to the evaluation of financial mobile applications. This innovation expands the scope of these methodologies, indicating their potential applicability across various industries.
Empowering homes through energy efficiency: A comprehensive review of smart home systems and devices
Authors: Singh Seema , Aggarwal Neha , Prince  , Dabas Devika 
Published: November 2024

Purpose
In recent years, both homeowners and the research community have shown a growing interest in home automation devices and smart homes. About one-third of all primary energy resources are used by homes worldwide, which consume significant energy. This has raised concerns regarding energy accessibility and the quick depletion of energy sources, the growing need for building services, the improvement of comfortable lifestyles and the increased time spent at home. This study aims to offer a comprehensive and significant examination of state-of-the-art intelligent control systems used for managing energy and ensuring comfort in smart homes.

Design/methodology/approach
After conducting a comprehensive search in the Scopus database, a total of 55 articles were carefully selected. Using the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4 SLR) technique for systematic reviews, the current study synthesized prior research on energy efficiency in smart homes and conducted a detailed descriptive analysis to describe the current state of knowledge.

Findings
Future research on energy efficiency in smart homes could delve into various prospective areas that would strengthen existing knowledge and practices. Using innovative technologies in smart homes can reduce energy consumption in residential areas by offering convenience and improved features.

Originality/value
To the best of the authors’ knowledge, this is the first systematic literature review focused on intelligent control systems for energy and comfort management in smart homes, as well as residents’ interaction with indoor comfort.
Enhancing human behavior recognition with dynamic graph convolutional networks and multi-scale position attention
Authors: Huang Peng , Jiang Hongmei , Wang Shuxian , Huang Jiandeng 
Published: November 2024

PurposeHuman behavior recognition poses a pivotal challenge in intelligent computing and cybernetics, significantly impacting engineering and management systems. With the rapid advancement of autonomous systems and intelligent manufacturing, there is an increasing demand for precise and efficient human behavior recognition technologies. However, traditional methods often suffer from insufficient accuracy and limited generalization ability when dealing with complex and diverse human actions. Therefore, this study aims to enhance the precision of human behavior recognition by proposing an innovative framework, dynamic graph convolutional networks with multi-scale position attention (DGCN-MPA) to sup.Design/methodology/approachThe primary applications are in autonomous systems and intelligent manufacturing. The main objective of this study is to develop an efficient human behavior recognition framework that leverages advanced techniques to improve the prediction and interpretation of human actions. This framework aims to address the shortcomings of existing methods in handling the complexity and variability of human actions, providing more reliable and precise solutions for practical applications. The proposed DGCN-MPA framework integrates the strengths of convolutional neural networks and graph-based models. It innovatively incorporates wavelet packet transform to extract time-frequency characteristics and a MPA module to enhance the representation of skeletal node positions. The core innovation lies in the fusion of dynamic graph convolution with hierarchical attention mechanisms, which selectively attend to relevant features and spatial relationships, adjusting their importance across scales to address the variability in human actions.FindingsTo validate the effectiveness of the DGCN-MPA framework, rigorous evaluations were conducted on benchmark datasets such as NTU-RGB + D and Kinetics-Skeleton. The results demonstrate that the framework achieves an F1 score of 62.18% and an accuracy of 75.93% on NTU-RGB + D and an F1 score of 69.34% and an accuracy of 76.86% on Kinetics-Skeleton, outperforming existing models. These findings underscore the framework’s capability to capture complex behavior patterns with high precision.Originality/valueBy introducing a dynamic graph convolutional approach combined with multi-scale position attention mechanisms, this study represents a significant advancement in human behavior recognition technologies. The innovative design and superior performance of the DGCN-MPA framework contribute to its potential for real-world applications, particularly in integrating behavior recognition into engineering and autonomous systems. In the future, this framework has the potential to further propel the development of intelligent computing, cybernetics and related fields.
Challenges and solutions when implementing lesson study from the perspective of German primary schools
Authors: Vock Miriam , Bucher Julian , Kager Klara 
Published: November 2024

PurposeThis study examines the experiences of five German primary schools implementing Lesson Study over a five-year period. When lesson study is to be implemented in Germany, teachers are typically skeptical and do not believe that it will work in their schools. Although four of the schools from our project consider the implementation at their school to be quite successful and report many positive effects, in this article, we focus on the difficulties and strategies for overcoming them. We also report the schools’ recommendations for other schools wishing to implement lesson study.Design/methodology/approachUsing maximum variation sampling, we conducted semi-structured interviews with ten German primary teachers and principals from five schools taking part in the nationwide LemaS project. The interviews were recorded, transcribed and analyzed using qualitative content structuring analysis.FindingsThe study identified several challenges, ranging from fundamental criticism of lesson study to a lack of resources. All but one school found ways to navigate these challenges. The main themes for success included fostering motivation for lesson study and adequate support from the school leadership.Practical implicationsThis study offers examples of strategies of schools to overcome typical hurdles when implementing lesson study. We also present a list of ten recommendations derived from the interviewees that can serve as pragmatic guidelines for practitioners and researchers willing to implement and sustain lesson study.Originality/valueThis study captures the experiences of both teachers and school leaders, providing practical insight for schools wishing to implement the lesson study in a sustainable way.
The free shipping endowment: exploring omnichannel fulfillment steering by nudging consumers toward alternative order fulfillment methods
Authors: Brockhaus Sebastian , Taylor Daniel , Knemeyer A. Michael , Murphy Paul R. 
Published: November 2024

PurposeThis research explores the concept of omnichannel fulfillment steering (OFS) and demonstrates how retailers can influence a consumer’s fulfillment decisions through commonly used financial incentives such as discounts, credits and the opportunity to avoid home delivery fees.Design/methodology/approachWe present insights from two theoretically grounded experiments to examine how different types of financial incentives can be used by omnichannel retailers to steer consumers from home delivery toward three alternative order fulfillment methods (AOFM) – buy-online-pickup-in-store, curbside-pickup and ship-to-locker.FindingsOur analysis suggests that an opportunity to avoid shipping fees (penalty-avoidance) is a more effective OFS nudge than offering discounts or store credits (rewards). No difference was observed between offering discounts or credits as steering mechanisms; further, no omnichannel steering benefits were observed among the tested AOFMs. Collectively, these findings provide possible justification for retailers’ prioritization of credits to foster customer in-store visits, thus encouraging greater customer engagement and facilitating cross-selling opportunities. Finally, we uncover a penalty-avoidance endowment effect for “free shipping” of purchases over the current industry-standard free shipping threshold.Practical implicationsRetailers might prioritize store credits over discounts as nudges to steer customers toward an AOFM, with buy-online-pickup-in-store offering the greatest benefits for most retailers. Furthermore, using penalty-avoidance OFS incentives over a typical free shipping threshold may increase AOFM selection rates but engender adverse customer reactions.Originality/valueAdvancing the concept of OFS, this study directly informs retailers’ omnichannel incentive programs to nudge customers back into the store. Countering intertemporal choice theory, we could not demonstrate that delayed incentives are less effective than immediate ones. Based on prospect theory, we identify a free shipping endowment effect at a specific reference point along a purchase amount continuum.
The impact of the COVID-19 pandemic on e-learning adoption in an emerging market: a longitudinal study using the UTAUT model
Authors: Nair Manas Somakumar , Nair Jessy , Chellasamy Aarthy 
Published: November 2024

Purpose
The COVID-19 pandemic provided unprecedented impetus to the evolution of the e-learning learning ecosystem by compelling students to adopt e-learning systems. This paper aims to use the UTAUT model to provide insight into the differences in factors influencing the adoption of e-learning systems before and after the pandemic.

Design/methodology/approach
This longitudinal study uses two surveys conducted among graduate students in the city of Bengaluru in India. One prior to the start of the COVID-19 pandemic and a second in its aftermath. PLS-SEM is used to analyze both data sets to draw insights into the constructs that influence Behavioral intention to adopt e-learning systems. The moderating effect of gender is also analyzed.

Findings
Pre COVID-19, Facilitating Conditions, Performance Expectancy and Effort Expectancy (quadratic behavior) were dominant factors influencing the adoption of e-learning technologies. Post pandemic, Performance Expectancy and Social Influence are drivers of e-learning adoption. Effort Expectancy and Facilitating Conditions grouped as Ease of Use is a significant driver of e-learning adoption post pandemic. Gender is found to not have a moderating influence.

Originality/value
The unique longitudinal study of the differences in factors influencing students’ intention to adopt e-learning pre- and post-COVID-19 can prove useful to policy makers in the higher education sector. Academics can use the post-pandemic e-learning model’s findings in multiple contexts such as generational cohorts, educational contexts and social contexts.
Labor investment efficiency: a review of the international literature
Authors: Habib Ahsan , Ranasinghe Dinithi , Liu Ying 
Published: November 2024

PurposeWe aim to provide a systematic literature review of the determinants and consequences of labor investment efficiency in an international context. First, we offer a theoretical discussion of labor investment efficiency, followed by an examination of its measurement. Next, we review the determinants of labor investment efficiency, categorizing them into firm fundamentals including financial reporting quality, governance and controls, corporate social responsibility/environmental regulation and macroeconomic determinants. Finally, we review the limited empirical literature on the consequences of labor investment efficiency. We also provide some suggestions for future research.Design/methodology/approachWe perform a systematic literature review using the Preferred Reporting Items for a Systematic Review of Meta-Analysis (PRISMA) guidelines to examine archival studies investigating the determinants and consequences of labor investment efficiency. Using a Boolean search strategy on the Scopus and PRISMA selection criteria, we review 86 published archival research articles from 2014 to the end of August 2024.FindingsOur review highlights that firm-level fundamental factors including financial reporting quality have profound implications for labor investment efficiency. Effective governance mechanisms also help mitigate agency conflicts and information asymmetries and alleviate labor investment inefficiencies. Furthermore, the influence of regulations including ESG-related regulations and macroeconomic factors play a crucial role in shaping labor investment decisions. We find very little research on the consequence of labor investment efficiency.Practical implicationsOur review has highlighted that well-functioning corporate governance tools are effective in mitigating inefficient labor investments. Stakeholders, therefore, should ensure that firms have effective internal governance mechanisms in place and that external governance regulations complement and where necessary act as substitutes for internal governance mechanisms to optimize labor investments.Originality/valueTo the best of our knowledge, this study represents the first systematic review of extant research on labor investment efficiency. Our review highlights some research gaps, particularly about the consequences of labor investment efficiency and offers some suggestions for future research.
School leadership during the COVID-19 crisis: a scoping review of empirical research
Authors: Striepe Michelle , Kafa Antonios 
Published: November 2024

PurposeThis scoping review examines the literature on school leadership during the COVID-19 crisis to consolidate knowledge on how school leaders adapted to unprecedented challenges. It aims to highlight the multifaceted aspects of school leadership during the pandemic, emphasizing the need for distinct approaches in crisis situations.Design/methodology/approachUsing scoping review methodology, this study analysed empirical work published between January 2020 and May 2023. Using PRISMA-ScR guidelines, it focused on peer-reviewed articles that examined leadership practices and strategies during the health crisis. Key features were distilled through thematic analysis, incorporating both inductive and deductive reasoning from the selected literature.FindingsThe study indicated that school leadership during the COVID-19 crisis involved care, collaboration, communication and quick decision-making. School leaders demonstrated resilience and innovation to ensure continuity of learning and support community well-being. Inclusive leadership, technology integration and personal characteristics like empathy emerged as pivotal aspects. The mapping revealed a prevalence of qualitative methodologies in one context, highlighting the need for diverse methodologies to comprehensively understand school leadership during crisis.Originality/valueThis review contributes to educational leadership by offering a thorough overview of the research on school leadership during the COVID-19 crisis. It emphasises context-specific leadership and the need to frame educational leadership in ways that will equip leaders for future crisis, suggesting considerations for leadership models tailored to crisis circumstances.
SMEs’ digital maturity: analyzing influencing factors and the mediating role of environmental factors
Authors: Omol Edwin , Abuonji Paul , Mburu Lucy 
Published: November 2024

PurposeThis study investigates the relationships among various dimensions influencing the digital maturity of small- and medium-sized enterprises (SMEs). A novel variable, namely SMEs' dependence level on environmental factors, is introduced to broaden the scope beyond traditional linear relationships, providing insights into the multifaceted nature of SME digital maturity.Design/methodology/approachThe study employs correlation and regression analyses to unravel significant correlations and explore the impact of predictors on the dependent variable. The interconnectedness of Technology, Product, Organization, People, Strategy and Operations is scrutinized, revealing their collective influence on SMEs' digital maturity. Importantly, the absence of multicollinearity issues is confirmed, validating the reliability of the study’s results. The regression models demonstrate robust explanatory power, with the inclusion of a mediator significantly enhancing overall model performance.FindingsThe findings highlight the interconnected nature of key dimensions, emphasizing the collective influence of Technology, Product, Organization, People, Strategy and Operations on SMEs' digital maturity. Analysis of variance results further support the effectiveness of these predictors in capturing variability in the dependent variable. Beta values provide insight into the distinct contributions of each predictor, emphasizing their individual impacts on SMEs' digital maturity.Originality/valueThis study contributes to the field by emphasizing the need for more holistic models and methodological advancements to understand the complex dynamics that shape SMEs' digital maturity. By introducing the novel variable of SMEs' dependence level on environmental factors, the research expands the conceptual framework, offering a fresh perspective on the multifaceted nature of SME digital maturity. The study’s originality is underscored by robust statistical analyses and an exploration of relationships among key dimensions. The comparison and contrast of findings with existing literature further enhance the study’s unique contributions to the field.
The trail of halal services research: the bibliometric analysis using R
Authors: Padlee Siti Falindah , Ahmad Bustamam Ummi Salwa , Nik Mat Nik Hazimah , Hussin Noor Zatul Iffah 
Published: November 2024

Purpose
This paper aims to present a review and analysis of the literature on halal services over 25 years. The number of publications on halal services has increased over the years in the fields of business, management and economic research; however, the topic has been discussed less comprehensively in relation to bibliometric analysis.

Design/methodology/approach
This study was conducted using review and bibliometric analysis. In total, 346 articles were extracted using a modified Preferred Reporting Items for Systematic Review and Meta-Analyses procedure, and 176 documents were eliminated because they were not within the scope of the Halal Services topic. Finally, 170 articles were analyzed using the Biblioshiny-Bibliometrix R package.

Findings
Research on halal services has grown steadily over the past 25 years. Most studies were conducted in Muslim countries; however, some non-Muslim countries, such as the United Kingdom and China, also contributed to the topic of halal services. Thematic analysis revealed that most halal services papers are categorized under the “Niche Theme” or the “Basic Theme.”

Research limitations/implications
This study contributes by providing future researchers with knowledge and information on knowledge structures and state-of-the-art halal services. This study also provides insights into the development of novel ideas that may contribute to expanding the research on halal services worldwide.

Originality/value
This study provides a comprehensive analysis of halal services research using bibliometric analysis. Through this method, this study attempts to summarize the trends in halal service research over 25 years, which may suggest future research directions into halal services.