Search results

This paper seeks to model magneto‐harmonic solid conductors in the presence of ferromagnetic materials.

The approach takes the form of a coupling between the FEM and the PEEC method.

The paper shows one how to use the FEM‐PEEC coupled method to model a problem comprising solid conductors and ferromagnetic materials and compare its results with the FEM.

The formulation allows one to treat linear material in the magneto‐harmonic assumption.

The two methods FE and PEEC are well‐known. The innovation here is coupling these methods in order to profit by the main advantages.

Periodic inspection and maintenance are essential for effective pavement preservation. Cracks not only affect the appearance of the road and reduce the levelness, but also shorten the life of road. However, traditional road crack detection methods based on manual investigations and image processing are costly, inefficiency and unreliable. The research aims to replace the traditional road crack detection method and further improve the detection effect.

In this paper, a crack detection method based on matrix network fusing corner-based detection and segmentation network is proposed to effectively identify cracks. The method combines ResNet 152 with matrix network as the backbone network to achieve feature reuse of the crack. The crack region is identified by corners, and segmentation network is constructed to extract the crack. Finally, parameters such as the length and width of the cracks were calculated from the geometric characteristics of the cracks and the relative errors with the actual values were 4.23 and 6.98% respectively.

To improve the accuracy of crack detection, the model was optimized with the Adam algorithm and mixed with two publicly available datasets for model training and testing and compared with various methods. The results show that the detection performance of our method is better than many excellent algorithms, and the anti-interference ability is strong.

This paper proposed a new type of road crack detection method. The detection effect is better than a variety of detection algorithms and has strong anti-interference ability, which can completely replace traditional crack detection methods and meet engineering needs.

This paper aims to examine how independent directors (IDs) affect a firm’s performance measured on profitability, with corporate social responsibility (CSR) interaction.

The study uses an international data set of 1,817 firm-year observations from 545 large companies in 20 countries across Asia, America and Europe, and the fixed-effects estimation method.

The direct effect of IDs alone on profitability is statistically insignificant; however, the synergic effect of IDs and CSR on profitability becomes significantly positive when firms disclose CSR information.

The profitability is partially sourced from the synergy of IDs and stakeholders through CSR. IDs may use CSR disclosure to win stakeholders’ goodwill. This goodwill will likely be transformed into profitability. The empirical results indicate that there should be more need for IDs’ engagement in CSR projects as the resources of IDs combined with external stakeholders can be of important value to firms.

This paper reveals the underlying mechanism that firm-idiosyncratic value is formed using a combination of ID resources and stakeholders through CSR. This research extends the literature of IDs’ efficiency and effectiveness and confirms the agency theory and resource dependence theory.

Seeking and retrieving information is an essential aspect of knowledge workers' activities during problem‐solving and decision‐making tasks. In recent years, user‐oriented Information Seeking (IS) research methods rooted in the social sciences have been integrated with Information Retrieval (IR) research approaches based on computer science to capitalize on the strengths of each field. Given this background, the objective is to develop a topic‐needs variation determination technique based on the observations of IS&R theories.

In this study, implicit and explicit methods for identifying users' evolving topic‐needs are proposed. Knowledge‐intensive tasks performed by academic researchers are used to evaluate the efficacy of the proposed methods. The paper conducted two sets of experiments to demonstrate and verify the importance of determining changes in topic‐needs during the IS&R process.

The results in terms of precision and discounted cumulated gain (DCG) values show that the proposed Stage‐Topic_W (G,S) and Stage‐Topic‐Interaction methods can retrieve relevant document sets for users engaged in long‐term tasks more efficiently and effectively than traditional methods.

The improved precision of the proposed methods means that they can retrieve more relevant documents for the searcher. Accordingly, the results of this research have implications for enhancing the search function in enterprise content management (ECM) applications to support the execution of projects/tasks by professionals and facilitate effective ECM.

The model observes a user's search behavior pattern to determine the personal factors (e.g. changes in the user's cognitive status), and content factors (e.g. changes in topic‐needs) simultaneously. The objective is to capture changes in the user's information needs precisely so that evolving information needs can be satisfied in a timely manner.

The advent of artificial intelligence technologies, exemplified by platforms such as ChatGPT, has created a profound global impact, with a particular resonance in education. This research aims to integrate the information systems success (ISS) model with the stimulus-organism-response (SOR) paradigm to explore how information quality and service quality individually, jointly, congruently, and incongruently affect higher education students’ trust in ChatGPT, satisfaction, and continuance usage intention.

We employed a sophisticated methodology - polynomial regression with response surface analysis - and conducted our study with a sample of 468 higher education students selected in Vietnam using a three-phase stratified random sampling approach to evaluate the hypotheses developed.

The findings indicate that both information and service quality influence higher education students’ trust directly and positively in ChatGPT, satisfaction, and continuance usage intention. Moreover, a balance between information quality and service quality can increase students’ level of trust in ChatGPT, satisfaction, and intention to continue using it. Nevertheless, a significant incongruity between information quality and service quality will likely reduce trust in ChatGPT, satisfaction, and the intention to continue using the service.

This research is one of the first to offer a shred of empirical evidence about how information quality and service quality interact congruently and incongruently with each other to trigger higher education students’ trust in ChatGPT, satisfaction, and continuance usage intention of ChatGPT. It thus offers valuable insights for leveraging the benefits and mitigating potential challenges associated with adopting this innovative technology in educational settings.

The aim of this paper is to model time‐harmonic problems in unbounded domains with coils of complex geometry and ferromagnetic materials.

The approach takes the form of a coupling between two integrals methods: the magnetic moment method (MMM) and the partial element equivalent circuit (PEEC) method. The modeling of conductor system is achieved thanks to PEEC method while the MMM method is considered for the magnetic material.

The paper shows how to use the MMM/PEEC coupled method to model a problem comprising conductors and ferromagnetic materials and compare its results with the FEM and the FEM/PEEC coupling.

The two methods PEEC and MMM are well‐known. The innovation here is coupling these methods in order to take advantages from both methods. Moreover, the performances of this coupling are studied in comparison with others (FEM, FEM/PEEC coupling).

The purpose of this study is to investigate the impact of board diversity on corporate social responsibility (CSR). The aim is twofold; does board diversity has any effect on CSR, do structural and demographic differences between one-tier and two-tier board models may impact this effect?

This paper applies a panel generalized method of moments estimator to a sample of 2,544 non-financial listed firms from 42 countries over the period of 2013–2017.

The findings reveal that board diversity leads to effective CSR. By distinguishing between diversity among boards from diversity within boards, the results display the effects of the specific variables that make up the manner and latter’s constructs within unitary and two-tier board structures. Specifically, this paper reveals that tenure, ideology and educational level (gender and nationality) predominantly appear to drive a firm’s CSR within one (two)-tier boards settings. These results remain consistent when robustness tests are ruled.

The study provides managers, investors and policymakers with knowledge about how among and within board diversity attributes favor the decision-making process around CSR. The evidence is useful for companies in setting the criteria to identify directors who can support their strategic decisions. It benefits, moreover, academics in better understanding firms’ CSR determinants and practices under different corporate board models.

Examining how different sets of board diversity affect firms’ CSR given divergences between one-tier and two-tier board structure is a useful and informative endeavor for all community actors.

Unlike prior studies that identify the limited scope of diversity, the study is the first to examine the effect of broader dimensions of board diversity on CSR under both one-tier and two-tier board settings. This paper provides a contribution to a greater understanding of the impacts underlying board models and different attributes of board diversity on CSR. This new understanding will help to improve predictions of different features of board diversity impacts on decision-making processes around organizational outcomes.

This paper aims to investigate whether Japanese manufacturing multinational enterprises (MNEs) maintain local legitimacy in their host countries through adequate informing of local stakeholders with targeted corporate sustainability (CS) reporting.

The paper first identified specific CS activities that were considered important in four Association of Southeast Asian Nations host countries, through semi-structured interviews with 58 participants of 16 Japanese manufacturing MNEs. The degree of establishment of local legitimacy was then measured through the number of references made to these CS activities and other activities specific to the respective host countries in the CS reports of the MNEs across a five-year period.

The majority of MNEs in the sample were under-reporting items of specific interest to localhost country stakeholders potentially undermining the MNEs’ image. There were found to be differences on the topics published in CS reports compared to those mentioned in the interviews indicating potential issues with regard to internal communication between the subsidiary and headquarters offices.

A novel approach is taken to investigate the degree of local legitimacy established by MNEs through comparing the contents of interviews held at subsidiaries with their respective CS reports. This paper highlights the importance of considering MNE subsidiaries when addressing Target 12.6 of the Sustainable Development Goal 12: responsible consumption and production.

Entrepreneurship is one of the pillars of economic development and helps to green the economy. This study investigates the factors that affect green entrepreneurship (GE) in small- and medium-sized enterprises (SMEs) in Saudi Arabia.

Using quantitative modes, this study's findings are based on 334 valid cases from Saudi Arabian SME employees.

Using path analysis, this study’s findings reveal that green entrepreneurial skills (GES), green opportunities (GOs), entrepreneurial motivation (EM), green incentives (GIs), availability of capital (AoC) and green entrepreneurial self-efficacy (GESE) have positive and significant effects on GE. Moreover, GESE mediates GE's relationships with GES, GOs, EM, GIs and AoC.

This study's findings support the development of green business practices in terms of green business planning, training and skills. The research provides opportunities for green businesses. Policymakers and SME authorities would benefit from this study's findings in producing green goods and services.

This study empirically confirms the role of various factors such as GESE and GE among Saudi Arabian SMEs.