bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigation of a novel intensifying-flux hybrid excited permanent magnet machine for electric vehicles
Authors: Lu Ruipan , Liu Zhangqi , Liu Xiping , Sun Baoyu , Liang Jiangwei 
Published: June 2024

Purpose
To address the issues of the insufficient output torque associated with the application of intensifying-flux permanent magnet (PM) machines in electric vehicles, this paper aims to propose an intensifying-flux hybrid excitation PM machine. It is possible to adjust the air gap magnetic field by adjusting the field current in the excitation winding, thereby increasing the torque output capability and speed range of the machine.

Design/methodology/approach
First, a novel intensifying-flux hybrid excited permanent magnet synchronous machine (IF-HEPMSM) is proposed on the basis of intensifying-flux permanent magnet synchronous machine (IF-PMSM) and an equivalent magnetic circuit model is established. Second, the tooth width and yoke thickness of the machine stator are optimized to ensure the overload capacity of the machine while effectively improving the wide flux regulation range. Furthermore, the electromagnetic characteristics of the IF-HEPMSM are investigated and compared with the IF-PMSM and conventional permanent magnet synchronous machine (PMSM) by using finite element simulations.

Findings
The id of IF-HEPMSM and IF-PMSM is greater than zero low-speed magnetizing current. And the flux-weakening current of the IF-HEPMSM is 18% and 3% smaller than of the conventional PMSM and IF-PMSM.

Practical implications
Aiming at the problems of IF-PMSM applied to electric vehicles, this paper proposes an IF-HEPMSM. The air gap magnetic field is adjusted by controlling the current of the excitation winding to improve the reliability of the machine. Therefore, the IF-HEPMSM combines the advantages of high-power density and high efficiency of the PMSM and the controllable magnetic field of the electro-excitation machine, which is of great engineering value when applied in the field of electric vehicles.

Originality/value
The proposed IF-HEPMSM offers better flux regulation capability with electromagnetic characteristics analysis and maps of dq-axis current as compared to IF-PMSM and conventional PMSM. Moreover, the improvement of the torque can make up for the shortcomings of the insufficient torque output capability of the IF-PMSM.
Determinants for megaproject knowledge innovation management: a Bayesian network analysis
Authors: Xie Lin-lin , Luo Yifei , Hou Lei , Yu Jianqiang 
Published: June 2024

PurposeMegaproject knowledge innovation (MKI) is perceived as a critical strategy for engineering value co-creation and industrial chain upgrading. Ascertaining the impact mechanism of MKI is a crucial initial step towards improving management practices. Within the framework of complex systems in megaprojects, factors exhibit intricate interdependencies. However, the current domain of knowledge has either overlooked or oversimplified this relationship and therefore cannot propose pragmatic and efficacious strategies for enhancing MKI. To close this gap, this study develops a Bayesian network (BN) model aiming to investigate the interdependencies among MKI-related factors and their impact on MKI.Design/methodology/approachFirst, this study implements literature review, expert interview and field investigation to identify the influencing factor nodes for the network model development. Second, a Bayesian network was constructed by integrating the expert knowledge with Dempster-Shafer theory. Next, a MKI measurement model was established using 253 training samples. Finally, the factor significance and optimal MKI improvement strategies are identified from the sensitivity analysis and probabilistic reasoning within the BNs.FindingsThe results indicate that (1) the BN model exhibits significant reliability and holds promotion and application value in formulating MKI management strategies; (2) knowledge sharing, shared vision and leadership are the key influencing factors of MKI; and (3) simultaneously improving institutional pressure, leadership and knowledge sharing is the most optimal strategy to enhance MKI.Originality/valueThis study innovatively introduced the BN method into the domain of MKI management, providing an appropriate approach for modelling complex relationships among factors and investigate nonlinear influences. The developed model raises megaproject stakeholders’ awareness about factors influencing MKI and presents quantified strategies that increase the likelihood of maximising MKI levels. Its ease of generalisability positions it as a promising decision support tool, facilitating the implementation of sustainable MKI practices.
From inclusion to indigenisation: Māori methodologies for diversity scholarship
Authors: Staniland Nimbus Awhina , Ruwhiu Diane , Dell Kiri 
Published: June 2024

PurposeThis paper argues for the inclusion of Indigenous research methodologies in diversity scholarship to (1) adequately account for and value the identity, lived experiences and concerns of Indigenous Peoples and (2) to enrich diversity theorising and scholarship by proposing new ways to think about and conduct research on difference, inclusion and belonging. We further highlight the roles non-Indigenous researchers can play in supporting Indigenous methodologies.Design/methodology/approachWe introduce EDI readers to Indigenous research methodologies through explicating two Indigenous (Maori) methodologies from Aotearoa New Zealand and demonstrating points of convergence and divergence from existing methodologies evident in diversity scholarship.FindingsThe application of Eurocentric methodologies, including postcolonial approaches, can inaccurately theorise Indigenous experience through a Western lens compounding the ongoing impacts of colonialism. Conversely, drawing primarily from cultural knowledge and traditions, Indigenous methodologies place considerable value on people and place, relationships and relational accountabilities, each underpinned by an explicit intent to produce research with positive transformative potential for participant communities. Using Kaupapa Maori and Mana Wahine research as examples, we highlight how elements of “resistance” aligns with critical theories, but the “difference” inherent in Indigenous methodologies enables a more authentic engagement with people and place that is critical to understanding issues of significance to Indigenous Peoples.Originality/valueThis paper addresses the lack of engagement with Indigenous research methodologies and priorities of Indigenous communities within diversity scholarship. We argue that Indigenous priorities make broader contributions to the diversity agenda by attributing deeper meaning to difference and resistance as enacted through the context specificity of the Indigenous world. We contend Indigenous methodologies illuminate unique perspectives and priorities that can make powerful contributions to broader discussions of equity, inclusion and belonging.
A systematic study of traffic sign recognition and obstacle detection in autonomous vehicles
Authors: Vartak Koli Reshma Dnyandev , Sharma Avinash 
Published: June 2024

PurposeThis study aims to compare traffic sign (TS) and obstacle detection for autonomous vehicles using different methods. The review will be performed based on the various methods, and the analysis will be done based on the metrics and datasets.Design/methodology/approachIn this study, different papers were analyzed about the issues of obstacle detection (OD) and sign detection. This survey reviewed the information from different journals, along with their advantages and disadvantages and challenges. The review lays the groundwork for future researchers to gain a deeper understanding of autonomous vehicles and is obliged to accurately identify various TS.FindingsThe review of different approaches based on deep learning (DL), machine learning (ML) and other hybrid models that are utilized in the modern era. Datasets in the review are described clearly, and cited references are detailed in the tabulation. For dataset and model analysis, the information search process utilized datasets, performance measures and achievements based on reviewed papers in this survey.Originality/valueVarious techniques, search procedures, used databases and achievement metrics are surveyed and characterized below for traffic signal detection and obstacle avoidance.
TPACK based blended learning model to improve engineering graduate attributes – a case study with Kirkpatrick evaluation
Authors: Kavitha D. , Anitha D. 
Published: June 2024

PurposeEngineering graduates are expected to have certain attributes in addition to technical expertise that includes development in personal and interpersonal skills with societal concern. Pedagogical strategies have been continuously evolving to improve the graduate attributes. An efficient framework for blended learning that improves the graduate attributes is the need of the hour now.Design/methodology/approachA blended course model based on TPACK is proposed and the same is evaluated with Kirkpatrick evaluation method to assess the attainment of the attributes. A mapping strategy is developed for the relation between course outcomes and graduate attributes. The proposed model is tested with “Microcontroller” course in undergraduate program with students of three consecutive years in three different learning environments: offline, online and blended. The performance of the students in assessments, students’ feedback and their interest towards additional learning, project skills and job recruitment are the different elements taken for analysis.FindingsThe results obtained show that the impact of the proposed blended learning framework in improving the graduate attributes is greater than the offline environments. The analysis is done based on Kirkpatrick evaluation, which demonstrates the improvement in graduate attributes in blended learning by 18% compared to offline mode.Research limitations/implicationsIt is seen that blended learning shall be implemented using TPACK model effectively and the proposed model results in improvement of graduate attributes. Though the findings are good enough, the case study is limited to a particular organization and so, the various underlying parameters may vary for different institutions.Practical implicationsThe methodology proposed is viable in any institution and may be tested for any program. The effectiveness of the blended learning is known and in this case study, the analysis from the course to the level of program is done.Social implicationsThe research work highlights the integration of technology, pedagogy and content knowledge to enhance engineering students' skills. Hence, it explores a new required norms of education, potentially shaping future teaching learning methodologies. By employing the Kirkpatrick evaluation, it offers insights into the model's effectiveness and influences educational practices in the need of the hour.Originality/valueThe proposed method and results signifies an innovative endeavor that combines technological expertise, pedagogical methods and subject matter knowledge to enhance the attributes of engineering graduates. Kirkpatrick evaluation adds a distinct dimension by objectively assessing the model's impact. The results are analyzed from the original data obtained from a particular institution.
Benefit distribution and stability analysis of enterprise digital servitization ecosystems from the perspective of value cocreation
Authors: Chen Lide , Peng Yongtao , Luo Jianqiang 
Published: June 2024

Purpose
A digital servitization ecosystem (DSE) is a cooperation model based on the concept of value cocreation. However, capability asymmetry among enterprises can lead to unfair benefit distribution and hinder value cocreation and digital service transformation. This paper aims to investigate the impact of the varying capabilities of enterprises (manufacturers, service providers and digital technology providers) on revenue distribution when these enterprises collaborate on digital servitization transformation. This analysis is performed from an ecosystem perspective to facilitate the stable development of DSEs.

Design/methodology/approach
The rise of DSEs has engendered extensive literature, and the distribution of benefits within DSEs is in dire need of new mechanisms to adapt to the new competitive environment. The importance of investment contribution, digital servitization level, digitalization level, risk-taking ability, digital servitization effort level and brand awareness is determined by combining the expert scoring method and the entropy value method to determine different weights for manufacturers, service providers and digital technology providers. The Shapley value is used to design the benefit distribution mechanism for stable cooperation among DSE enterprises, thus providing a more scientific basis for the development of cooperative relationships.

Findings
Digital servitization is a collaborative process that involves multienterprise activities, and it is significantly affected by digital servitization level and digitalization level. Moreover, constructing the modified Shapley value benefit distribution mechanism according to the relevant capabilities of digital servitization can promote the stable development of DSEs and value cocreation among members.

Originality/value
The main contributions of this study are as follows: First, it summarizes the stability-influencing factors of DSEs on the basis of empirical and literature research on the demand for enterprise digital servitization capabilities and transformation difficulties, delves deeper into the capability composition and cooperative relationship of DSE members and combines the expert scoring method and the entropy value method to determine the weighting to design the benefit distribution mechanism. Second, it reflects system stability and development by studying the revenue distribution of DSE members, thereby expanding the ecosystem construction and business model transformation of digital servitization in the existing research.
Antecedents of tourist citizenship behavior: the role of digital halal literacy and religiosity
Authors: Abror Abror , Patrisia Dina , Engriani Yunita , Hafizh Muhammad Al , Gaffar Vanessa , Qoriah Qoriah , Achmad Nurman , Wusqa Urwatul , Abdullah Muhammad Syukri 
Published: June 2024

Purpose
This study aims to examine the antecedents of tourist citizenship behavior (TCB). It also investigates the role of digital halal literacy (DHL) and religiosity in enhancing TCB.

Design/methodology/approach
This quantitative research used survey with questionnaire as the data collection methods. The samples of this study were 400 tourists who visited tourist destinations in five cities/municipals in West Sumatra Indonesia. This research used partial least square structural equation model as the data analysis tools.

Findings
This study found that satisfaction, trust and DHL are significant antecedents of TCB. In addition, satisfaction had a direct impact on TCB and influenced TCB through trust as a mediator. This study also found that religiosity had a direct influence on DHL, satisfaction and trust.

Practical implications
The findings will provide insights to tourist destination managers as well as the government on how to motivate tourists to participate in the development of Halal tourism in Indonesia. The tourists should gain sufficient knowledge or literacy about Halal, and especially in the digital context. Therefore, this will lead to their satisfaction, trust and willingness to participate in tourism development such as providing assistance to other tourists in the destinations.

Originality/value
This research has identified a new variable, DHL, which has not been addressed previously. This research has extended social exchange theory by establishing a relationship between TCB and DHL that has also not been previously explored. In addition, this study has investigated several relationships between DHL, satisfaction, trust and TCB and has shed new insights in the context of Halal tourism. This study has also provided a more comprehensive model of the relationship between DHL, satisfaction, trust and citizenship behavior specifically in Halal tourism research.
Bibliometric analysis of model-based systems engineering in advanced manufacturing
Authors: Lu Jinzhi , Gong Yihui , Wang Guoxin , Yan Yan 
Published: June 2024

PurposeModel-based systems engineering (MBSE) is an important approach for the transforming process from “document-centered” to “model centered” systems engineering mode in equipment development, which can effectively shorten the equipment development cycle and improve product design quality. This paper aims to understand if MBSE enables to support manufacturing and equipment development.Design/methodology/approachThe paper opted a bibliometric analysis of MBSE in domain of advanced manufacturing from different perspectives such as publication volume, research team, sources and keyword co-occurrence.FindingsFirstly, the application of MBSE in advanced manufacturing can be roughly divided into three stages. And MBSE has been widely implemented globally and has gradually formed several noteworthy teams. Secondly, this article has identified some high-quality sources, with a large number of publications and citations, the most influential publications focus on the practice or guidance of digital twins and intelligent manufacturing. Thirdly, research can be divided into six categories, including systems engineering, digitalization, intelligent manufacturing, product design, model and architecture and MBSE applications.Research limitations/implicationsBecause of the chosen research approach, the visualized network tends to lose certain information such as a few keywords may be inaccurately categorized.Practical implicationsThis paper comprehensively study the research status of MBSE in advanced manufacturing and forecasts future research trends, emphasizing the combination of intelligent manufacturing and digitization.Originality/valueThis paper fulfills an identified need to understand the current application status and future development trends of MBSE.
How information technology resources enhance absorptive capacity and individual ambidexterity: the moderating role of social interaction
Authors: Al-Husseini Sawasn 
Published: June 2024

Purpose
Ambidexterity has become essential for organisations to remain competitive. Thus, the purpose of this study is to investigate the causal relationships among information technology resources, absorptive capacity and individual ambidexterity. Further, this study examines the moderating role of social interaction in the absorptive capacity–individual ambidexterity relationship.

Design/methodology/approach
A quantitative approach was used in this study through analysis of survey data from 475 employees in the Iraqi telecommunications sector. Structural equation modelling with AMOS was used to test the proposed hypotheses.

Findings
This study noted a positive relationship among information technology resources, absorptive capacity and individual ambidexterity. The results of this study also showed that individuals with a higher degree of social interaction were more likely to strengthen the association between absorptive capacity and individual ambidexterity.

Practical implications
The results indicate that managers should pay attention to the important relationship between IT resources, absorptive capacity and individual ambidexterity in the Iraqi telecommunications firms. It is also suggested to design strategies to promote social interaction among their employees and facilitate cooperation and information transfer.

Originality/value
This study shows that information technology has influence on absorptive capacity and individual ambidexterity and argues the importance of social interaction as a boundary condition on absorptive capacity and individual ambidexterity relationship for telecommunications firms in Iraq a context that neglected in previous studies.
Participative leadership congruence and employee task performance: the intermediate roles of person-unit fit and unit-member exchange
Authors: Chang Yi-Ying , Chiang Feng-Yi , Hu Qilin , Hodgkinson Ian , Hughes Paul , Chang Che-Yuan 
Published: June 2024

PurposeParticipative leadership's influence on employee task performance has garnered significant attention in a rapidly evolving organizational landscape. This study explores the multilevel dynamics of participative leadership congruence between unit managers and direct supervisors and its effects on employee task performance.Design/methodology/approachDrawing on two longitudinal studies based on the firms randomly selected from the Taiwan Economic Journal (TEJ) database, the research observes the mediating role of Person-Unit fit and the moderating influence of Unit-Member Exchange in the participative leadership-performance relationship.FindingsThe findings reveal how participative leadership congruence enhances person-unit fit, which in turn benefits employee task performance. Unit-member exchange plays a critical role in augmenting the participative leadership congruence? Person-unit fit? Employee task performance relationship.Originality/valueThe study extends leadership literature by highlighting the significance of leadership alignment across levels and the interplay between psychological and social factors in improving employee performance.
The impact of air and rail transportation on environmental pollution in Turkey: a Fourier cointegration analysis
Authors: Beşer Nazife Özge , Tütüncü Asiye , Beşer Murat , Magazzino Cosimo 
Published: June 2024

PurposeThis paper aims to investigate the influence of air and rail transportation on pollution in Turkey from 1970 to 2020.Design/methodology/approachFourier Autoregressive Distributive Lags (ADL) and Fourier Fractional ADL cointegration tests (Banerjee et al., 2017; Ilkay et al., 2021) are employed to analyze the relationship be-tween the variables. Cointegration tests that take into account soft transitions under structural changes are implemented. Structural change issues are crucial for this topic since the changes in countries’ environmental policies and transportation habits are shaped by the decisions taken in relation to environmental regulations. Finally, for robustness purposes, we tested the estimated equation with a completely different methodology. Thus, a Machine Learning (ML) analysis is conducted, through a Ridge Regression (RR).FindingsThe findings obtained by applying Fourier Autoregressive Distributive Lags (FADL) and Fourier Fractional ADL cointegration tests, which can control for structural changes, reveal the existence of a long-term relationship between the variables. In addition, FMOLS estimates emphasize that economic growth and air transport can lead to increased pollution in the long run, while rail transport reduces it. Moreover, the statistically significant trigonometric terms indicate the existence of a smooth structural change among the variables. Robustness checks are performed through a Machine Learning (ML) analysis, which roughly confirms the previous results.Originality/valueTo our knowledge, existing research in Turkey focuses mainly on road transport, while the impact of rail and air transport on pollution has not yet been investigated. As such, this study will be a significant addition to the academic literature.