Search results

The study aims to pioneer an innovative approach for the evaluation of government portal websites (GPWs) by introducing an eye-tracking-based method. The research meticulously pinpoints and analyses the distinct usability issues and challenges that users encounter while navigating and interacting with GPWs.

This study devises an eye-tracking-based GPW usability evaluation approach, which focuses on the major functions (i.e. government information disclosure, government services and interactive responses) of GPWs. An Entropy Weighted Technique for Order Preference by Similarity to an Ideal Solution (EW-TOPSIS) method is employed to process eye-tracking indicator results for deriving GPW usability results.

The proposed approach is demonstrated to assess the usability of 12 GPWs in pilot smart cities in China, and it is found that most GPWs have lower-than-average usability. GPWs with low usability require more cognitive load that exhibit increased fixation and saccade. The comparisons among the GPW usability results from (1) the eye-tracking experiment, (2) questionnaire surveys and (3) the ready-made performance evaluation report validate the effectiveness of eye-tracking-based GPW usability evaluation.

The work contributes to shifting the GPW usability evaluation approach from a subjective judgment paradigm to an objective paradigm, as well as provides implications for enhancing GPW usability, including improving search function, reducing website complexity and prioritizing user needs.

The study aims to examine the effects of guanxi and harmonious leadership on acquisition performance and the role of sociocultural integration as a mediating mechanism impacting the above links, with a focus on Chinese cross-border acquisitions in The Netherlands.

Data were collected through survey questionnaire with 91 respondents who work in Dutch-acquired companies. Regression analysis was used for exploring the relationship.

The study finds that both guanxi and harmonious leadership are positive to acquisition performance, and sociocultural integration represents a significant mediating mechanism by which guanxi and harmonious leadership can result in improved acquisition performance.

This study contributes to culture research by emphasizing the clarification of specific Chinese cultural values and cultural practices in cross-border acquisitions and examining the role of guanxi and harmonious leadership in acquisition performance. Meanwhile, this study helps to unveil Chinese cross-border acquisitions in The Netherlands by examining the mediating force – sociocultural integration.

The purpose of this paper is to study the influence mechanism of different levels of social capital (Structure holes–local network attributes and indirect ties–global network attributes) and organizational culture on the creativity of key inventors, and the role of organizational culture between social capital and creativity.

The paper tested the hypotheses with a sample of patent data accumulated from 46 firms in Chinese electronic information and automobile sectors. Negative binomial regression was used to explore the factors influencing the creativity of key inventors.

The paper discovers that structural holes are valuable social capital for the creativity of key inventors and very important in firms with a collective and conservative culture. Moreover, it also locates that key inventor are more creative in firms with an individualistic and competitive culture than those in firms with a collective and conservative culture.

This study emphasizes the influence of social capital on creativity and contributes to R&D management. It highlights structural holes are certainly important to key inventors in a collective and conservative culture, thus contradicting preceding studies that locate structural holes useful solely in an individualistic culture. This finding broadens our knowledge of the benefits of this network structure. Also, this debate challenges several basic views on structural holes currently.

Anti-epidemic Emergency Projects (AEEPs) have unique characteristics such as a short construction period, high-quality requirements, complex construction environment, many construction participants and many uncertain affecting factors. The purpose of this paper was to propose the establishment method for the Construction Community (CC) of AEEPs (CC-AEEPs) by analyzing the management features of AEEPs, to establish the method of the Social Network Analysis (SNA) for CC-AEEPs, and to apply this method and the framework to Wuhan Huoshenshan Hospital for their verification.

According to the CC theory, this paper explored the member composition and the establishment method for CC-AEEPs. The optimal management factors of CC-AEEPs were proposed by combining the management features of AEEPs and the SNA method for CC-AEEPs was further established. Finally, the applicability of the method was verified through a case study, and some countermeasures for the CC-AEEP social networks were proposed.

The establishment of CC-AEEPs is an important guarantee to complete AEEPs with top speed and high quality. Ten types of CC-AEEP members all played different but irreplaceable roles in cooperative construction, among which the Government, the Contractor, and the Supervisor had outstanding performances. The SNA method could effectively analyze the complexity and cooperative relationship among the members in four aspects. The case study of Huoshenshan Hospital validated the important role of CC-AEEP and its social network in the AEEP research providing beneficial enlightenment for the cooperative optimization path of the AEEP construction participants.

The new establishment method for CC-AEEPs was proposed from the perspective of “cooperation among human, society, and engineering” according to the theories of the engineering sociology and the CC. In this paper, the SNA method was applied to the research on the AEEP construction for the first time and the SNA method for CC-AEEPs was purposed. The optimal management factors of CC-AEEPs and the expansion path of the CC-AEEP social networks were proposed according to the whole-process tracking of AEEPs in Wuhan.

Transformational leadership (TFL) has been identified by a number of studies as a positive force for business success. However, few studies have explicitly examined its influence on the cooperative employment relationship, such as frontline employees' voice in the workplace. Thus, this study conducts an empirical analysis of dual-level (i.e. group-focused and individual-focused) TFL and its effect on frontline employees' cooperative voice.

This empirical study is based on data from a survey of 468 full-time frontline workers from 38 hotels in China.

The empirical results revealed that both individual-level and group-level TFL are significantly associated with frontline employees' cooperative voice. Person–Organization value congruence and Person–Supervisor value congruence both act as mediators in the linkage between group-level TFL and employees' cooperative voice behaviors. The partial mediating role of Demand–Ability congruence on the relationship between individual-level TFL and cooperative voice is also established.

First, this study investigates the dual-level effects of TFL on the cooperative voice behavior of frontline employees. Second, this study explores whether three dimensions of value congruence mediate the influence of TFL on the voice behaviors of employees.

Intent detection and slot filling are two important tasks in question comprehension of a question answering system. This study aims to build a joint task model with some generalization ability and benchmark its performance over other neural network models mentioned in this paper.

This study used a deep-learning-based approach for the joint modeling of question intent detection and slot filling. Meanwhile, the internal cell structure of the long short-term memory (LSTM) network was improved. Furthermore, the dataset Computer Science Literature Question (CSLQ) was constructed based on the Science and Technology Knowledge Graph. The datasets Airline Travel Information Systems, Snips (a natural language processing dataset of the consumer intent engine collected by Snips) and CSLQ were used for the empirical analysis. The accuracy of intent detection and F1 score of slot filling, as well as the semantic accuracy of sentences, were compared for several models.

The results showed that the proposed model outperformed all other benchmark methods, especially for the CSLQ dataset. This proves that the design of this study improved the comprehensive performance and generalization ability of the model to some extent.

This study contributes to the understanding of question sentences in a specific domain. LSTM was improved, and a computer literature domain dataset was constructed herein. This will lay the data and model foundation for the future construction of a computer literature question answering system.

This study aims to examine the current state of academic research pertaining to the role played by artificial intelligence (AI) in the achievement of a critical sustainable development goal (SDG) – poverty alleviation and describe the field’s development by identifying themes, trends, roadblocks and promising areas for the future.

The authors analysed a corpus of 253 studies collected from the Scopus database to examine the current state of the academic literature using bibliometric methods.

This paper identifies and analyses key trends in the evolution of this domain. Further, the paper distils the extant literature to unpack the intermediary mechanisms through which AI and related technologies help tackle the critical global issue of poverty.

The corpus of literature used for the analysis is limited to English language studies from the Scopus database. The paper contributes to the extant research on AI for social good, and more broadly to the research on the value of emerging technologies such as AI.

Policymakers and government agencies will get an understanding of how technological interventions such as AI can help achieve critical SDGs such as poverty alleviation (SDG-1).

The primary focus of this paper is on the role of AI-related technological interventions to achieve a significant social objective – poverty alleviation.

To the best of the authors’ knowledge, this is the first study to conduct a comprehensive bibliometric analysis of a critical research domain such as AI and poverty alleviation.

This study aims to examine the relationship between polychronicity, job autonomy, perceived workload, work–family conflict and high work demand on the health-care employee turnover intention during the COVID-19 pandemic.

The authors conducted quantitative research in private hospitals using a self-administered questionnaire, and 264 respondents participated. The authors also used an analysis of moment structures to determine the relationship between independent and moderating variables.

The results show a significant positive relationship between polychronicity, job autonomy, perceived workload, work–family conflict and high work demand, affecting turnover intention. This study also found the moderating effect of high work demand on work–family conflict and turnover intention.

This research was limited to hospitals in Bahrain during the COVID-19 pandemic. Nevertheless, the findings highlight the factors associated with health-care employee turnover intention and only five factors were identified.

This study enhances the theoretical and practical effects of turnover intention. The results provide a competitive benchmark for hospital managers, administrators and governing bodies of employee retention.

It advances economics and management theory by enhancing the understanding of health-care employees’ turnover intention in Bahrain. It serves as a basis for future large-scale studies to test or refine existing theories.

To the best of the authors’ knowledge, this study is the first to adopt extrinsic variables in self-determination theory to measure the turnover intention of health-care employees. However, using resources in a crisis can be applied to any disaster.

Firm performance has become a thriving research field. However, a review of previous studies shows that the answers to several fundamental questions remain vague and require further investigation. Thus, the purpose of this study is twofold. The first is to determine the extent of the involvement of political connections (PCs) in Pakistani-listed companies, and the second is to examine the association between PCs and firm financial performance with director efficacy’s moderating role.

A data set of 221 non-financial companies listed on the Pakistan Stock Exchange for 10 years (2008–2017) was analysed using panel-corrected standard error regression. Additionally, the authors address endogeneity issue by using Hackman two-stage estimation and lagged variables regression.

The study found that PCs negatively affected the firm’s financial performance, and director efficacy as a moderator strengthened this relationship. The result is consistent with the political economy theory that argues that an unstable political system and a weak judicial system will strongly affect investors and their rights.

The impact of political influence on the corporate sector remains a concern for policymakers, regulators, investors, financial experts, auditors and academic researchers. This study’s findings are that an effective board of directors can strengthen the company’s best practices by controlling political connectedness to protect all the interested parties, particularly investors, and restore their confidence. Therefore, the results of this study can assist all stakeholders when a PCs exists to make the right decisions.

The study extends the literature in terms of theoretical contribution that uses an integrative approach to combine political economy theory, agency theory and resource dependence theory to address the moderating role of director efficacy with an association between PCs and firm financial performance. To the best of the authors’ knowledge, no extant research has investigated the association between PCs and firm financial performance using five aspects of PCs, along with moderator director efficacy.

The purpose of this study is to examine the mediating role of career adaptability (CA) in the relationship between supervisor support (SS) and career satisfaction (CS).

Data were collected from 193 full-time employees working in private health-care institutions in Ankara, Turkey. The participants were asked to respond to a self-reported survey. Structural equation modeling was used to examine the hypothesized relationships between the research variables.

The results indicated that SS has a significant and positive effect on CS. It further reveals that CA mediates the effect of SS on CS.

As this study had a cross-sectional research design, causality could not be established between study variables.

CA ought to be considered by the managers and it ought to be advanced as it provides the employees fundamental instruments to deal with their career advancement efficiently.

The present study adds to the existing literature by providing additional evidence for the relationship among SS, CA and CS by examining a sample of health-care professionals.