E-government research insights: Text mining analysis

Abu-Shanab, Emad; Harb, Yousra

doi:10.1016/j.elerap.2019.100892

Cited by 23 publications

(9 citation statements)

References 22 publications

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“…After determining the popular research methodologies deployed in the literature, we then conducted term frequency analysis on the title, abstract, and keywords to retrieve the frequency counts of a specific methodology. Numerous scholars employed lexical analysis such as word frequency count to examine the research methodologies deployed or the research trends in a specific field (e.g., [13,47]).…”

Section: Word Frequency Analysis Techniquementioning

confidence: 99%

A descriptive framework for the field of knowledge management

Harb

Abu-Shanab

2020

Knowl Inf Syst

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Despite the extensive evolution of knowledge management (KM), the field lacks an integrated description. This situation leads to difficulties in research, teaching, and learning. To bridge this gap, this study surveys 2842 articles from top-ranked KM journals to provide a descriptive framework that guides future research in the field of knowledge management. This study also seeks to provide a comprehensive depiction of current research in the field and categorizes these research activities into higher-level categories using grounded theory approach and topic modeling technique. The results show that KM studies are classified into four core research categories: technological, business, people, and domains/applications dimensions. An additional concern addressed in this study is the major research methodologies used in this field. The results raise awareness of the development of KM discipline and hold implications for research methodologies and research trends in the selected KM journals. The results obtained from this study also provide practitioners with a useful quality reference source. The framework and the components included provide researchers, practitioners, and educators with an ontology of KM topics, where they can cover deficiencies in research and provide an agenda for future research.

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Section: Word Frequency Analysis Techniquementioning

confidence: 99%

A descriptive framework for the field of knowledge management

Harb

Abu-Shanab

2020

Knowl Inf Syst

Self Cite

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“…TAM suggested two specific features that determines individuals' perception of using the technology, which are ease of use and usefulness. As can be inferred in the e-government context, ease of use has also been identified to have an impact on users' perception of the e-government platform [13], [21]. As one of the participants of our qualitative study noted, "The operation (of the system) is relatively easy and simple, especially for individuals in our age.…”

Section: Antecedents Of System Qualitymentioning

confidence: 73%

Assessing Trust in Online Collaboration in E-government during the COVID-19 pandemic: An Employee Perspective

Gong¹,

Bao²

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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Due to the outbreak of the COVID-19 pandemic, firms and institutions have to shift to work from home to prevent the spreading of the pandemic. As a public sector, employees in government institutions also collaborate online during the lockdown. Collaboration online has been identified as a challenge for employees. While our understanding of how employees' perception and trust of the e-government is still limited. To address this research gap, this study intends to investigate the antecedents of employees' trust in e-government during their work process in the new normal. By conducting a qualitative study with 14 in-depth interviews with employees with e-government experience during the COVID-19 pandemic, we extracted several key antecedents of employees' trust in e-government. Based on the qualitative data analysis, a theoretical model of trust antecedents was proposed. Our study provides a deep understanding of the specific antecedents of employees' trust in the e-government context.

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“…Accordingly, it has been studied in relation to ICT and IS for many years now and in a multitude of different settings such as in virtual teams (e.g., Jarvenpaa et al 2004 ; Kanawattanachai and Yoo 2002 ), in e-commerce settings (e.g., Gefen et al 2003 ; McKnight et al 2002 ), or in the context of specific technologies such as cloud computing (e.g., Khan and Malluhi 2010 ; Öksüz 2014 ). Also, trust is a vital part of the e-government literature (Abu-Shanab and Harb 2019 ). Lately, particular emphasis has been placed on the question of how and why people trust technologies (Söllner et al 2016 ).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Watch who you trust! A structured literature review to build a typology of e-government risks

Distel

Koelmann

Plattfaut

et al. 2022

Inf Syst E-Bus Manage

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The information systems, e-business, and e-government literature has unanimously shown that trust and risk are antecedents of the use of information technology and technology-based services. However, a deeper understanding of the relationship between trust and risk, especially when taking into account the extensive knowledge created in fields such as organisational science and psychology, is often missing. With this article, we aim at conceptualizing risk in e-government use. Based on a structured review of the trust-related e-government literature, we derive a typology of relevant e-government risks. We analyse this typology in light of extant trust and risk literature. The typology can be used both to understand the behaviour of system or service users and to design systems and services that can be and are trusted. As such, this research can serve as a basis for future research on the role of trust and risk in designing and using e-government services. The generalizability to e-business services and information systems in general is discussed.

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E-government research insights: Text mining analysis

Cited by 23 publications

References 22 publications

A descriptive framework for the field of knowledge management

A descriptive framework for the field of knowledge management

Assessing Trust in Online Collaboration in E-government during the COVID-19 pandemic: An Employee Perspective

Watch who you trust! A structured literature review to build a typology of e-government risks

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