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Article
Publication date: 14 July 2023

Wang Shen, Junyao Wang, Xin Feng and Yuming He

This paper aims to study individuals’ information service satisfaction during the COVID-19 pandemic lockdown in China’s urban communities.

Abstract

Purpose

This paper aims to study individuals’ information service satisfaction during the COVID-19 pandemic lockdown in China’s urban communities.

Design/methodology/approach

The researchers analyse people’s uncertainties during the pandemic and argue that uncertainties caused by the lockdown can negatively affect people. By reducing people’s uncertainty during the pandemic, community staff members can improve individuals’ information service satisfaction and social order. This study constructs a conceptual model that includes key transparency and self-disclosure constructs and their relationships that can contribute to the trust and satisfaction of the community information service phenomenon. The researchers collected 489 responses to test their hypothesis from an online survey of Chinese residents in areas where the strict lockdown policy was implemented.

Findings

The empirical results show that policy and goods information transparency significantly affect information service satisfaction in a positive way, with goods information transparency having the highest impact. Second, self-disclosure of community staff members is also an effective way to increase information service satisfaction. Finally, trust plays a mediating role in the influence of information transparency and self-disclosure on information service satisfaction.

Originality/value

This paper innovatively uses uncertainty reduction theory to examine the effects of information transparency and self-disclosure on satisfaction with community information services. It expands the research in the field of information service satisfaction and extends the scope of the research subjects of self-disclosure.

Details

The Electronic Library , vol. 41 no. 4
Type: Research Article
ISSN: 0264-0473

Keywords

Article
Publication date: 30 June 2023

Ruan Wang, Jun Deng, Xinhui Guan and Yuming He

With the development of data mining technology, diverse and broader domain knowledge can be extracted automatically. However, the research on applying knowledge mapping and data…

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Abstract

Purpose

With the development of data mining technology, diverse and broader domain knowledge can be extracted automatically. However, the research on applying knowledge mapping and data visualization techniques to genealogical data is limited. This paper aims to fill this research gap by providing a systematic framework and process guidance for practitioners seeking to uncover hidden knowledge from genealogy.

Design/methodology/approach

Based on a literature review of genealogy's current knowledge reasoning research, the authors constructed an integrated framework for knowledge inference and visualization application using a knowledge graph. Additionally, the authors applied this framework in a case study using “Manchu Clan Genealogy” as the data source.

Findings

The case study shows that the proposed framework can effectively decompose and reconstruct genealogy. It demonstrates the reasoning, discovery, and web visualization application process of implicit information in genealogy. It enhances the effective utilization of Manchu genealogy resources by highlighting the intricate relationships among people, places, and time entities.

Originality/value

This study proposed a framework for genealogy knowledge reasoning and visual analysis utilizing a knowledge graph, including five dimensions: the target layer, the resource layer, the data layer, the inference layer, and the application layer. It helps to gather the scattered genealogy information and establish a data network with semantic correlations while establishing reasoning rules to enable inference discovery and visualization of hidden relationships.

Details

Library Hi Tech, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0737-8831

Keywords

Article
Publication date: 14 July 2023

Justin Zuopeng Zhang, Wu He, Sachin Shetty, Xin Tian, Yuming He, Abhishek Behl and Ajith Kumar Vadakki Veetil

Despite rapid growth in blockchains, there was limited discussion about non-technical and technical factors on blockchain governance in the extant literature. This study aims to…

Abstract

Purpose

Despite rapid growth in blockchains, there was limited discussion about non-technical and technical factors on blockchain governance in the extant literature. This study aims to contribute new knowledge to the literature on potential factors affecting the adoption, governance and scale-up of blockchain technologies in the health-care and energy sectors, presented in a holistic framework.

Design/methodology/approach

This study adopts the qualitative case study research methodology to research blockchain governance in practice. The authors contacted a national blockchain consortium to conduct their research on the governance issue of blockchain. Two leading case organizations, one from the health-care industry and another from the energy industry, were deliberately selected for their study for their active role and reputation in the consortium and practical experience in blockchain governance.

Findings

The developed framework helps identify potential research gaps or concerns on adopting a blockchain as well as assessing blockchain implementation and governance in other industries. Depending on the circumstances, some of the factors can be either drivers or obstacles to further blockchain development. The different forces may also be more or less evident over time as blockchains develop. The two real-world case studies contribute to the information technology governance literature on blockchain governance.

Originality/value

The results of this case studies will be beneficial for developing theories and empirical models to determine antecedents for achieving consensus and trust in blockchain and testing the relationship between these factors and blockchain governance at different levels. As a result, theories related to the governance of blockchain technologies could be further developed.

Details

Journal of Management History, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1751-1348

Keywords

Article
Publication date: 15 August 2023

Xin Tian, Wu He, Yuming He, Steve Albert and Michael Howard

This study aims to examine how different hospitals utilize social media to communicate risk information about COVID-19 with the communities they serve, and how hospitals' social…

Abstract

Purpose

This study aims to examine how different hospitals utilize social media to communicate risk information about COVID-19 with the communities they serve, and how hospitals' social media messaging (firm-generated content and their local community's responses (user-generated content) evolved with the COVID-19 outbreak progression.

Design/methodology/approach

This research proposes a healthcare-specific social media analytics framework and studied 68,136 tweets posted from November 2019 to November 2020 from a geographically diverse set of ten leading hospitals' social media messaging on COVID-19 and the public responses by using social media analytics techniques and the health belief model (HBM).

Findings

The study found correlations between some of the HBM variables and COVID-19 outbreak progression. The findings provide actionable insight for hospitals regarding risk communication, decision making, pandemic awareness and education campaigns and social media messaging strategy during a pandemic and help the public to be more prepared for information seeking in the case of future pandemics.

Practical implications

For hospitals, the results provide valuable insights for risk communication practitioners and inform the way hospitals or health agencies manage crisis communication during the pandemic For patients and local community members, they are recommended to check out local hospital's social media sites for updates and advice.

Originality/value

The study demonstrates the role of social media analytics and health behavior models, such as the HBM, in identifying important and useful data and knowledge for public health risk communication, emergency responses and planning during a pandemic.

Details

Journal of Enterprise Information Management, vol. 36 no. 6
Type: Research Article
ISSN: 1741-0398

Keywords

Article
Publication date: 12 September 2023

Yunfei Xing, Yuming He and Justin Z. Zhang

The coronavirus disease 2019 (COVID-19) pandemic caused significant disruption to the global labor market, resulting in a rapid transition toward remote work, e-commerce and…

Abstract

Purpose

The coronavirus disease 2019 (COVID-19) pandemic caused significant disruption to the global labor market, resulting in a rapid transition toward remote work, e-commerce and workforce automation. This shift has sparked a considerable amount of public discussion. This study aims to explore the online public's sentiment toward remote work amid the pandemic.

Design/methodology/approach

Based on justice theory, this paper examines user-generated content on social media platforms, particularly Twitter, to gain insight into public opinion and discourse surrounding remote work during the COVID-19 pandemic. Employing content analysis techniques such as sentiment analysis, text clustering and evolutionary analysis, this study aims to identify prevalent topics, temporal patterns and instances of sentiment polarization in tweets.

Findings

Results show that people with positive opinions focus mainly on personal interests, while others focus on the interests of the company and society; people's subjectivities are higher when they express extremely negative or extremely positive emotions. Distributive justice and interactional justice are distinguishable with a high degree of differentiation in the cluster map.

Originality/value

Previous research has inadequately addressed public apprehensions about remote work during emergencies, particularly from a justice-based perspective. This study seeks to fill this gap by examining how justice theory can shed light on the public's views regarding corporate policy-making during emergencies. The results of this study provide valuable insights and guidance for managing public opinion during such events.

Details

Library Hi Tech, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0737-8831

Keywords

Article
Publication date: 20 April 2023

Kim-Lim Tan, Yuming Liu and Qiuting Ye

With the worsening of corporate fraud and consequential loss, the growing importance of truthful disclosure is globally advocated. This study aims to examine corporate…

Abstract

Purpose

With the worsening of corporate fraud and consequential loss, the growing importance of truthful disclosure is globally advocated. This study aims to examine corporate governance’s role in accountants’ intention to disclose fraudulent practices honestly. At the same time, this study examines intergender differences concerning the formation of the disclosure intention.

Design/methodology/approach

Based on the theory of planned behavior (TPB), data from 256 accountants working in China have been collected via an online survey. This data is subsequently analyzed with the partial least square (PLS) structural equation modeling method.

Findings

The results revealed that integrity and corporate governance significantly positively affect employees’ attitudes, subjective norms and perceived behavioral control toward disclosure intention. At the same time, it shows that only subjective norm and perceived behavioral control established a significant positive relationship with disclosure intention. It also shows that males display higher attitudes and perceived behavioral control in developing the intention.

Originality/value

This study helps understand accountants’ disclosure intention of fraud practices, especially during shock events such as the COVID-19 pandemic. To the best of the authors’ knowledge, this study is the first to extend the TPB incorporating corporate governance and integrity as antecedents to disclosure intention. At the same time, this study contributes to the existing literature by being the first attempt to investigate intergender differences. Finally, it advances the body of knowledge on employees’ behavior and contributes methodologically by introducing the PLS approach.

Details

Accounting Research Journal, vol. 36 no. 2/3
Type: Research Article
ISSN: 1030-9616

Keywords

Article
Publication date: 7 March 2023

Preeti Godabole and Girish Bhole

The main purpose of the paper is timing analysis of mixed critical applications on the multicore system to identify an efficient task scheduling mechanism to achieve three main…

Abstract

Purpose

The main purpose of the paper is timing analysis of mixed critical applications on the multicore system to identify an efficient task scheduling mechanism to achieve three main objectives improving schedulability, achieving reliability and minimizing the number of cores used. The rise in transient faults in embedded systems due to the use of low-cost processors has led to the use of fault-tolerant scheduling and mapping techniques.

Design/methodology/approach

The paper opted for a simulation-based study. The simulation of mixed critical applications, like air traffic control systems and synthetic workloads, is carried out using a litmus-real time testbed on an Ubuntu machine. The heuristic algorithms for task allocation based on utilization factors and task criticalities are proposed for partitioned approaches with multiple objectives.

Findings

Both partitioned earliest deadline first (EDF) with the utilization-based heuristic and EDF-virtual deadline (VD) with a criticality-based heuristic for allocation works well, as it schedules the air traffic system with a 98% success ratio (SR) using only three processor cores with transient faults being handled by the active backup of the tasks. With synthetic task loads, the proposed criticality-based heuristic works well with EDF-VD, as the SR is 94%. The validation of the proposed heuristic is done with a global and partitioned approach of scheduling, considering active backups to make the system reliable. There is an improvement in SR by 11% as compared to the global approach and a 17% improvement in comparison with the partitioned fixed-priority approach with only three processor cores being used.

Research limitations/implications

The simulations of mixed critical tasks are carried out on a real-time kernel based on Linux and are generalizable in Linux-based environments.

Practical implications

The rise in transient faults in embedded systems due to the use of low-cost processors has led to the use of fault-tolerant scheduling and mapping techniques.

Originality/value

This paper fulfills an identified need to have multi-objective task scheduling in a mixed critical system. The timing analysis helps to identify performance risks and assess alternative architectures used to achieve reliability in terms of transient faults.

Details

International Journal of Pervasive Computing and Communications, vol. 20 no. 1
Type: Research Article
ISSN: 1742-7371

Keywords

Article
Publication date: 28 November 2023

Kujtim Hameli, Lekë Ukaj and Lum Çollaku

This study aims to investigate the impact of emotional intelligence on work engagement by exploring the mediating roles of self-efficacy and psychological empowerment in this…

Abstract

Purpose

This study aims to investigate the impact of emotional intelligence on work engagement by exploring the mediating roles of self-efficacy and psychological empowerment in this relationship.

Design/methodology/approach

Using the survey method, data were collected through both physical and online means. The final sample comprised 304 teachers working in elementary, middle and high schools. Structural equation modeling (SEM) analysis, utilizing IBM Amos version 26, was employed to assess the hypothesized model.

Findings

The study's results revealed that emotional intelligence does not exert a direct impact on work engagement. Additionally, self-efficacy was not found to mediate the relationship between emotional intelligence and work engagement. However, psychological empowerment emerged as a mediating factor in this context. Furthermore, self-efficacy and psychological empowerment concurrently demonstrated significant mediation of the relationship between emotional intelligence and work engagement.

Research limitations/implications

The findings underscore the significance of teachers' emotional intelligence, suggesting that it can have profound implications for their work engagement through the mediating mechanisms of self-efficacy and psychological empowerment. Educational principals and administrators are encouraged to prioritize the enhancement of teachers' psychological empowerment, recognizing it as a pivotal link between teachers' emotional intelligence and work engagement.

Originality/value

This study contributes to the field by comprehensively examining the mediating roles of self-efficacy and psychological empowerment, addressing prior empirical gaps, and enriching the understanding of how emotional intelligence influences work engagement within the educational sphere.

Details

EuroMed Journal of Business, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1450-2194

Keywords

Article
Publication date: 3 January 2024

Zahid Shafait and Umar Farooq Sahibzada

Dark triad (DT) personality traits, that is, Machiavellianism, narcissism and psychopathy, are socially unenthusiastic and predict a range of antisocial behaviors. Academic…

Abstract

Purpose

Dark triad (DT) personality traits, that is, Machiavellianism, narcissism and psychopathy, are socially unenthusiastic and predict a range of antisocial behaviors. Academic entitlement, similarly, demonstrates the students’ rising temptation of higher grades without putting corresponding efforts. Based on coercion theory, this research investigated power distance as mediator between DT and academic entitlement (externalized responsibility and entitled expectations). Further, this study examined DT model of personality as a predictor of academic entitlement in Chinese higher education institutions (HEIs).

Design/methodology/approach

Chinese HEIs were ascertained for data collection. Students (with bachelor’s, master’s and Ph.D. degrees) responded to 719 questionnaires for data analysis. Hypothesized relationships were examined through partial least squares structural equation model (PLS-SEM).

Findings

This study established positive and significant direct link between DT and academic entitlement. The indirect effect through power distance was found insignificant between the relationship of DT and academic entitlement.

Originality/value

Based on coercion theory, this study extends the prevailing literature through unexplored effects of DT on academic entitlement and role of power distance in Chinese HEIs. This study validated the effect of DT on academic entitlement; however, direct-only no-mediation of power distance between the relationships is novel in Chinese HEIs. Moreover, power distance as mediator is novel between the relationships. Hence, this study provides an understanding of mentioned associations and contributes to the literature.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

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