bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigation on smoothed finite element methods using linear tetrahedral elements for high-speed train hollow axle strength analysis
Authors: Jiang Chen , Odibelu Ekene Paul , Zhou Guo 
Published: September 2023

PurposeThis paper aims to investigate the performance of two novel numerical methods, the face-based smoothed finite element method (FS-FEM) and the edge-based smoothed finite element method (ES-FEM), which employ linear tetrahedral elements, for the purpose of strength assessment of a high-speed train hollow axle.Design/methodology/approachThe calculation of stress for the wheelset, comprising an axle and two wheels, is facilitated through the application of the European axle strength design standard. This standard assists in the implementation of loading and boundary conditions and is exemplified by the typical CRH2 high-speed train wheelset. To evaluate the performance of these two methods, a hollow cylinder cantilever beam is first used as a benchmark to compare the present methods with other existing methods. Then, the strength analysis of a real wheelset model with a hollow axle is performed using different numerical methods.FindingsThe results of deflection and stress show that FS-FEM and ES-FEM offer higher accuracy and better convergence than FEM using linear tetrahedral elements. ES-FEM exhibits a superior performance to that of FS-FEM using linear tetrahedral elements, showing accuracy and convergence close to FEM using hexahedral elements.Originality/valueThis study channels the novel methods (FS-FEM and ES-FEM) in the static stress analysis of a railway wheelset. Based on the careful testing of FS-FEM and ES-FEM, both methods hold promise as more efficient tools for the strength analysis of complex railway structures.
Digitalization and bank profitability: evidence from an emerging country
Authors: Nguyen Quang Thi Thieu , Ho Ly Thi Hai , Nguyen Dat Thanh 
Published: September 2023

PurposeThis study aims to investigate the effect of digitalization on bank profitability among Vietnamese banks.Design/methodology/approachThe research employs fixed-effects regression on a panel data of 32 banks in Vietnam during the period 2010–2021.FindingsThe study reveals a positive impact of digitalization on bank profitability. The result is robust to different measures and empirical settings. Not surprisingly, small banks and banks with high percentage of state ownership experience lower profitability than their peers. However, digitalization helps improve the profitability of these banks. This study explains the effect by showing that digitalization significantly reduces bank cost in terms of cost to income ratio and increases bank non-interest income through diversification into non-traditional products and services. In addition, the current stage of bank digitalization in Vietnam does not reduce banks’ employment costs since it requires staffs to support and operate the new system.Practical implicationsThe research findings are motivations for bankers and policy-makers in designing appropriate strategies toward digitalization. Investors can also consider highly digitalized banks as valuable investment.Originality/valueThis research extends the current literature on the relationship between digitalization and bank profitability, with a focus on commercial banks in Vietnam. Given the high involvement of the government and the dominance of several large banks in the banking system, the study also explores whether the effect of digitalization on bank profitability varies with the bank’s size and state ownership. Last but not least, the channels in which digitalization affects bank profitability are also examined.
Eliciting social themes of flood mitigation and community engagement studies through text mining
Authors: Egbelakin Temitope , Omotayo Temitope , Ogunmakinde Olabode Emmanuel , Ekundayo Damilola 
Published: September 2023

PurposeFlood preparedness and response from the perspective of community engagement mechanisms have been studied in scholarly articles. However, the differences in flood mitigation may expose social and behavioural challenges to learn from. This study aimed to demonstrate how text mining can be applied in prioritising existing contexts in community-based and government flood mitigation and management strategies.Design/methodology/approachThis investigation mined the semantics researchers ascribed to flood disasters and community responses from 2001 to 2022 peer-reviewed publications. Text mining was used to derive frequently used terms from over 15 publications in the Scopus database and Google Scholar search engine after an initial output of 268 peer-reviewed publications. The text-mining process applied the topic modelling analyses on the 15 publications using the R studio application.FindingsTopic modelling applied through text mining clustered four (4) themes. The themes that emerged from the topic modelling process were building adaptation to flooding, climate change and resilient communities, urban infrastructure and community preparedness and research output for flood risk and community response. The themes were supported with geographical flood risk and community mitigation contexts from the USA, India and Nigeria to provide a broader perspective.Originality/valueThis study exposed the deficiency of “communication, teamwork, responsibility and lessons” as focal themes of flood disaster management and response research. The divergence in flood mitigation in developing nations as compared with developed nations can be bridged through improved government policies, technologies and community engagement.
Surmounting the gap: the impact of the COVID-19 pandemic on education for families in the Galapagos Islands
Authors: Carrick Oliver James 
Published: September 2023

PurposeThe COVID-19 pandemic caused schools across the world to close their physical facilities and switch from face-to-face classes to remote learning. This research investigates the consequences of school closures during the pandemic on families and children from marginalized sections of society. The setting of the Galapagos Islands is characterized by poor Internet access and performance, resulting in a detrimental effect on the education of students from vulnerable sectors of society.Design/methodology/approachUsing data from an empirical context, this case study seeks to enhance statistical results from a provincial level household survey with quantitative information from participatory development planning workshops and plans.FindingsStatistical analysis evidences the compound effect of the COVID-19 pandemic on the more vulnerable families living in the Galapagos. Both economic wellbeing and children's ability to attend classes online during school closures were linked to respondents' education levels. Participatory development planning workshops highlighted further inequality, and the plans resultant from the process sought to overcome challenges and address needs by contextualizing education for sustainable island living.Originality/valueThis case study emphasizes the impact of school closures due to the COVID-19 pandemic on vulnerable sectors of society. In the Galapagos Islands, the response to the compound effect of the pandemic and the other situational challenges has been to contextualize the educational curriculum towards the goal of sustainable living. The lessons learned from this experience will be applicable to other remote island groups.
Compensations, overconfidence and use of loan terms
Authors: Voon Jan , Ma Yiu Chung 
Published: September 2023

PurposeThis paper contributes to the literature as follows. First, it examines if option and stock compensations raise creditor's risk, and which one is more important than the other. Second, it explores if CEO's compensation interacts with CEO overconfidence to raise creditor's risk. Third, it investigates how banks use different loan terms to alleviate their credit risk.Design/methodology/approach This study used advanced regression analysis and use of generalized methods of moment methodology.FindingsThe results show that option compensation is more important than stock compensation in raising credit risk; option compensation interacts with CEO overconfidence, giving rise to a much higher credit risk; and covenant usage is more important than other loan contract terms in mitigating credit risk given that covenant use could not be substituted away by using other loan contract terms such as increasing interest rate, reducing principal or shortening loan duration. This paper has practical implications for credit markets.Research limitations/implicationsThe main implication is that hand-collect data are available up to 2010.Practical implicationsIt informs creditors the potential sources of loan risk emanating from option rather than stock incentives; it informs creditors that option incentive interacts with CEO overconfidence rendering the credit risk bigger than expected, and it informs creditors the importance of using covenants vis-à-vis other loan contract terms for mitigating compensation and overconfidence risk.Social implicationsBanks are alerted to the risk due to the interaction between overconfidence and compensations, implying that overconfident managers remunerated with options compensations are more risky than overconfident managers who are not remunerated as such.Originality/valueThis paper is original: (1) The authors show that option compensation is more risky than stock compensation from viewpoint of creditors. This has not been assessed. (2) Interaction between managerial compensation and managerial overconfidence has not been assessed before. (3) Use of different loan contract terms to alleviate risk from overconfident managers (who are prone to over investment but who are innovative according to the literature) has not been evaluated.
A systems approach to examine microentrepreneurship development through Stimulus-Organism-Behavior-Consequence (SOBC) theory
Authors: Panda Debadutta Kumar 
Published: September 2023

PurposeMicrofinance programs across the countries are designed on the self-help and peer pressure model, aim at microentrepreneurship development. Despite of significant studies on microfinance-supported microentrepreneurship (MSM), not a single literature examines it from the systems thinking. In addition to that, the extant literature did not look MSM from the behavioral perspectives. To address the above gaps, the present study aims to examine self-help group (SHG)-based microfinance programs from the systems approach using the Stimulus-Organism-Behavior-Consequence (SOBC) model.Design/methodology/approachInformation gathered from 786 women SHG members from four states of India through a structured interview schedule. Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) were conducted to process data. Additional statistical tests were performed to test the reliability and validity.FindingsIt was found that the “positive stimulus” (social intermediation, financial intermediation and business development services) positively impacted; and “negative stimulus” (intermediation accountability, and intermediation assumption) negatively impact, to “motive” (attitude, subjective norms, and perceived control) for micro-entrepreneurship in the SHG-based microfinance. Further, “motive” positively predicted “behavioral intention”; the “behavioral intention” positively determined “consequences” of micro-entrepreneurship. Intermediation as stimuli acted as “input”; the motive and behavioral intention acted as the “process”, and the consequence acted as the “output” in the SHG-based microentrepreneurship system.Originality/valueTo the best of the author's knowledge, this paper is the first one to examine the behavioral systems of microentrepreneurship programs through the Stimulus-Organism-Behavior-Consequence (SOBC) model.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-12-2022-0801
Combined SCD-SPSW system subjected to ground excitation
Authors: Boshagh Mohammad , Labibzadeh Mojtaba , Hosseinlou Farhad , Rezaeian Abbas 
Published: September 2023

PurposeIn this study, the application of a novel combined steel curved damper (SCD) and steel plate shear wall (SPSW) system in the 5-, 10- and 15-storey steel moment-resisting frames (SMR) subjected to earthquake excitation has been investigated. The proposed system is called here as the SMR-WD (steel moment resisting–wall damper).Design/methodology/approachAt the beginning of this research, an SMR-W and an SMR-D are separately modeled in ABAQUS software and verified against the available experimental data. After that, three different heights SMR-WD systems (5-, 10- and 15-storey) are designed and simulated. Then, their performances are examined and compared to the corresponding SMR-W under the effects of six actual earthquake records.FindingsThe obtained results show that the proposed system increases the mean values of the base shear for 5-, 10- and 15-storey SMR-WD equal to 27, 20.15 and 16.51%, respectively compared to the corresponding SMR-W. Moreover, this system reduces the drift of the floors so that the reduction in the average values of maximum drift for 5-, 10- and 15-storey SMR-WD is equal to 10, 7 and 29%, respectively with respect to the corresponding SMR-W. The results also reveal that the considered system dissipates more energy than SMR-W so that the increase in the mean values of the energy absorption for 5-, 10- and 15-storey SMR-WD is 30.8, 25.6 and 41.3%, respectively when compared to the SMR-W. Furthermore, it is observed that SMR-WD has a positive effect on the seismic performance of the link beams and panel zones of the frames. By increasing the height of the structure in the SMR-WD, the energy dissipation and base shear force increases and the drift of floors decreases. Hereupon, the proposed SMR-WD system is more useful for tall buildings than SMR-W frames.Originality/valueFor the first time, the application of a novel combined steel curved damper (SCD) and steel plate shear wall (SPSW) system in the 5-, 10- and 15-storey steel moment-resisting frames (SMR) subjected to earthquake excitation has been investigated.
Recommendations for entrepreneurial ecosystem development
Authors: Ribeiro Franklin , Brito Silva Cirani Claudia , Scornavacca Eusebio , Rodrigues Silva Pires Vinícius 
Published: September 2023

Purpose
The primary objective of this study is to consolidate the fragmented body of scholarly literature pertaining to developing entrepreneurial ecosystems, with the intent of determining prospective avenues of inquiry.

Design/methodology/approach
The analysis included a longitudinal distribution by category of journals with most recommendations, articles with most citations and the total number of recommendations. In addition, the authors presented a thorough explanation of the recommendations grouped by categories.

Findings
This study generated a framework that provides a comprehensive understanding of research on recommendations for the development of entrepreneurial ecosystems. The framework identified 74 recommendations in the fields of policy, support, culture, human capital, market and finance. The results indicated that the domain of recommendations for the entrepreneurial ecosystem is still in its infancy.

Originality/value
This study contributes to research on entrepreneurial ecosystems by focusing on recommendations for their development. The resulting framework can be used by policymakers to develop entrepreneurial ecosystems and by researchers in future studies.
Scoping the links between acquisitive crime, criminal predation and family business
Authors: Smith Robert 
Published: September 2023

PurposeThe stereotypes of the dodgy businessman and businessman gangster are established typologies in both the criminology and family business literature, but nevertheless, there is still an evident dearth of substantive studies on the topic. Family business scholars have begun to acknowledge the limited nature of such explorations of criminality in family firm businesses. The purpose of this article is therefore to review, synthesise and solidify existing research on this under-researched area of family business management.Design/methodology/approachThis perspective article explores and synthesises the links between acquisitive crime, criminal predation and family business to address an identifiable research gap in the literature of criminology, entrepreneurship and family business. It examines the overlap between criminal activities and business practices, shedding light on how individuals in the family business community may become involved in criminal activities due to various factors, including coercion, addiction and financial gain.FindingsThis perspective highlights emerging research trends that have the potential to increase the knowledge about the “dark side” of family business.Research limitations/implicationsBeing a perspective paper this brief exploration of the literature can only cover a small cross section of the literature. A conceptual model emerges, which illustrates shared aspects of crimino-entrepreneurial identity between authentic entrepreneurs and criminals.Originality/valueThis perspective article scopes the extant literature covering the links between acquisitive crime, criminal predation and family business to help guide the direction of future research. The piece presents new perspectives on the intersection of acquisitive crime and family business, and its novelty lies in its synthesis of the disparate elements from the diverse literature to contribute to the said literature.
Artificial intelligence and conversational agent evolution – a cautionary tale of the benefits and pitfalls of advanced technology in education, academic research, and practice
Authors: Cain Curtis C. , Buskey Carlos D. , Washington Gloria J. 
Published: September 2023

Purpose
The purpose of this paper is to demonstrate the advancements in artificial intelligence (AI) and conversational agents, emphasizing their potential benefits while also highlighting the need for vigilant monitoring to prevent unethical applications.

Design/methodology/approach
As AI becomes more prevalent in academia and research, it is crucial to explore ways to ensure ethical usage of the technology and to identify potentially unethical usage. This manuscript uses a popular AI chatbot to write the introduction and parts of the body of a manuscript discussing conversational agents, the ethical usage of chatbots and ethical concerns for academic researchers.

Findings
The authors reveal which sections were written entirely by the AI using a conversational agent. This serves as a cautionary tale highlighting the importance of ethical considerations for researchers and students when using AI and how educators must be prepared for the increasing prevalence of AI in the academy and industry. Measures to mitigate potential unethical use of this evolving technology are also discussed in the manuscript.

Originality/value
As conversational agents and chatbots increase in society, it is crucial to understand how they will impact the community and how we can live with technology instead of fighting against it.
Human–technology dichotomy in shaping management history
Authors: Caputo Francesco , Sepe Fabiana , Di Taranto Enrico , Fiano Fabio 
Published: September 2023

Purpose
The paper aims to enrich current debate about human–technology dichotomy in socio-economic settings by decoding and systematizing the main phases through which it has been approached in managerial and social studies.

Design/methodology/approach
A multi-interpretative framework is built thanks to the adoption of a qualitative approach inspired by the inductive logic, and for analyzing the historical evolution of the approach to human–technology dichotomy and for explaining them through an innovative conceptual model.

Findings
An innovative conceptual model is proposed for depicting connections and evolutions among the main four phases in the evolution of the approaches to human–technology dichotomy.

Research limitations/implications
Reflections and conceptual model herein can support researchers in rereading the multiple theoretical and practical contributions provided with reference to human and technology relations in socio-economic settings.

Practical implications
The paper can support managers and entrepreneurs in defining and evaluating managerial approaches for efficiently enhancing human–technology interaction.

Originality/value
The paper proposes an innovative conceptual model based on a multi-interpretative framework for decoding the historical evolution of the approaches to human–technology dichotomy in business settings. New variables are added to the current debate about the topic for building an original interpretive viewpoint.
Breaking away from servitization paradox to improve manufacturing enterprises' service innovation performance: the roles of market orientation and service supply chain dynamic capability
Authors: Lyu Tu , Lyu Xiaorui , Chen Hao , Zhao Qiu 
Published: September 2023

PurposeBased on the dynamic capability theory, our study tries to explore the mediator mechanism of service supply chain dynamic capability between market orientation and service innovation performance, as well as the boundary conditions in which service supply chain dynamic capability plays a role, in order to reveal the key elements and their mechanisms for manufacturing enterprises to improve service performance.Design/methodology/approachWith a total of 317 valid questionnaires, structural equation modeling (SEM) was used to test the research model and hypotheses.FindingsThe empirical results confirm that the three types of service supply chain dynamic capability (environment insight capability, resource integration capability and resource reconfiguration capability) can partially mediate the relationship between firm market orientation (responsive and proactive market orientations) and service innovation performance. In addition, supply chain collaboration has different types of moderator effects on the relationship between the three types of service supply chain dynamic capability and service innovation performance.Originality/valueThis research discovers that market orientation and dynamic capability are the key factors leading to high service performance and reveals the mediating role of service supply chain dynamic capability between market orientation and service innovation performance. Moreover, this research explores the moderating role of supply chain collaboration in service supply chain resource reconfiguration capability and service innovation performance.