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1 – 10 of 165Ave Adriana Pinem, Ivonne Margi Immanuella, Achmad Nizar Hidayanto, Kongkiti Phusavat and Meyliana
This study aims to understand the antecedent of trust towards government-to-business (G2B) service in Indonesia. Trust will be viewed through four aspects, namely, cognition-based…
Abstract
Purpose
This study aims to understand the antecedent of trust towards government-to-business (G2B) service in Indonesia. Trust will be viewed through four aspects, namely, cognition-based trust, personality-oriented trust, affect-based trust and experience–based trust. Then, these antecedents of trust were examined as the factors of continuance intention by extending the expected confirmation theory (ECT).
Design/methodology/approach
Data were collected through a quantitative approach, and 389 respondents were involved in the study. The respondents are the investors who represent their organization which uses e-government service to report their investment activities to the Investment Coordinating Board of Indonesia. Data were analyzed using partial least square structural equation modelling approach with WarpPLS 4.0.
Findings
The result shows that factors that determine a user’s trust in government online service are service quality, trust towards government entity, recommendation to use the service and user’s habit of using the service. Factors that do not determine a user’s trust in government online service is a disposition to trust. Another finding is that a user’s trust on an online service does not directly influence his/her continuance of use. Trust will impact the continuance of use through perceptions of benefits and perceived satisfaction of using the online service.
Research limitations/implications
ECT is applicable in G2B process. Organizations have a perception of benefit while using a public e-service and confirm the perception through their experience while using an e-service to gain satisfaction, and this will encourage them to continue using the service.
Practical implications
To improve organizations’ trust on the e-service, the government needs to improve the e-service quality (by evaluating the efficiency, privacy, user support, reliability and information quality), investor familiarity of the system (training or socialization), investor trust on the government entity (improve the employee competence) and recommendation on using the system.
Originality/value
Trust dimension has also been studied to be a factor that influences the intention or continuance of use of technology; however, it has rarely been studied towards its effect in the ECT’s context. In e-government study, there are various studies related to government-to-citizen (G2C) concept. However, the research in government-to-business (G2B) area that has not been explored much.
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Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some…
Abstract
Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.
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Jie Lu, Qusai Shambour, Yisi Xu, Qing Lin and Guangquan Zhang
The purpose of this paper is to develop a hybrid semantic recommendation system to provide personalized government to business (G2B) e‐services, in particular, business partner…
Abstract
Purpose
The purpose of this paper is to develop a hybrid semantic recommendation system to provide personalized government to business (G2B) e‐services, in particular, business partner recommendation e‐services for Australian small to medium enterprises (SMEs).
Design/methodology/approach
The study first proposes a product semantic relevance model. It then develops a hybrid semantic recommendation approach which combines item‐based collaborative filtering (CF) similarity and item‐based semantic similarity techniques. This hybrid approach is implemented into an intelligent business‐partner‐locator recommendation‐system prototype called BizSeeker.
Findings
The hybrid semantic recommendation approach can help overcome the limitations of existing recommendation techniques. The recommendation system prototype, BizSeeker, can recommend relevant business partners to individual business users (e.g. exporters), which therefore will reduce the time, cost and risk of businesses involved in entering local and international markets.
Practical implications
The study would be of great value in e‐government personalization research. It would facilitate the transformation of the current G2B e‐services into a new stage wherein the e‐government agencies offer personalized e‐services to business users. The study would help government policy decision‐makers to increase the adoption of e‐government services.
Originality/value
Providing personalized e‐services by e‐government can be seen as an evolution of the intentions‐based approach and will be one of the next directions of government e‐services. This paper develops a new recommender approach and systems to improve personalization of government e‐services.
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Citizens are substantial stakeholders in every e-government system, thus their willingness to use and ability to access the system are critical. Unequal access and information and…
Abstract
Citizens are substantial stakeholders in every e-government system, thus their willingness to use and ability to access the system are critical. Unequal access and information and communication technology usage, which is known as digital divide, however has been identified as one of the major obstacles to the implementation of e-government system. As digital divide inhibits citizen’s acceptance to e-government, it should be overcome despite the lack of deep theoretical understanding on this issue. This research aimed to investigate the digital divide and its direct impact on e-government system success of local governments in Indonesia as well as indirect impact through the mediation role of trust. In order to get a comprehensive understanding of digital divide, this study introduced a new type of digital divide, the innovativeness divide.
The research problems were approached by applying two-stage sequential mixed method research approach comprising of both qualitative and quantitative studies. In the first phase, an initial research model was proposed based on a literature review. Semi-structured interview with 12 users of e-government systems was then conducted to explore and enhance this initial research model. Data collected in this phase were analyzed with a two-stage content analysis approach and the initial model was then amended based on the findings. As a result, a comprehensive research model with 16 hypotheses was proposed for examination in the second phase.
In the second phase, quantitative method was applied. A questionnaire was developed based on findings in the first phase. A pilot study was conducted to refine the questionnaire, which was then distributed in a national survey resulting in 237 useable responses. Data collected in this phase were analyzed using Partial Least Square based Structural Equation Modeling.
The results of quantitative analysis confirmed 13 hypotheses. All direct influences of the variables of digital divide on e-government system success were supported. The mediating effects of trust in e-government in the relationship between capability divide and e-government system success as well as in the relationship between innovativeness divide and e-government system success were supported, but was rejected in the relationship between access divide and e-government system success. Furthermore, the results supported the moderating effects of demographic variables of age, residential place, and education.
This research has both theoretical and practical contributions. The study contributes to the developments of literature on digital divide and e-government by providing a more comprehensive framework, and also to the implementation of e-government by local governments and the improvement of e-government Readiness Index of Indonesia.
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In order to understand the range of e‐government initiatives that occur in practice, this study aims to explore diverse applications that have involved one locale, the City of…
Abstract
Purpose
In order to understand the range of e‐government initiatives that occur in practice, this study aims to explore diverse applications that have involved one locale, the City of Tyler, Texas.
Design/methodology/approach
The first case briefly describes the TylerTexas e‐government portal, an initiative that illustrates government‐to‐citizen and government‐to‐business applications. The second case describes a city/county government information technology integration effort that could support government‐to‐government applications if it is successful. Finally, the paper describes TexasOnline, a public‐private state government initiative that may have a large impact on local e‐government projects.
Findings
The paper explores some of the ways in which business process management approaches can help city and civic leaders manage the significant social and technical changes that will be needed to achieve the desired e‐government outcomes.
Originality/value
These examples illustrate many of the opportunities and the challenges involved in e‐government initiatives and, as such, may interest others who engage in similar efforts.
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Debora Viana Thompson, Roland T. Rust and Jeffrey Rhoda
To propose and test a model about the business value of government electronic services (e‐government) to small firms. Two dimensions of e‐government use (search‐oriented and…
Abstract
Purpose
To propose and test a model about the business value of government electronic services (e‐government) to small firms. Two dimensions of e‐government use (search‐oriented and transaction‐oriented) are measured and the effects of three types of e‐government benefits on small firms' profitability are tested.
Design/methodology/approach
Survey of 100 small firms in three states of the USA (Maryland, New York, and Washington).
Findings
Small firms' information technology capabilities are positively associated with the use of e‐government services. Search‐oriented use of e‐government is positively related to enhanced intelligence generation, new business development, and time savings. The relationship between use of e‐government and profitability is mediated by firms' intelligence generation.
Research limitations/implications
The study uses self‐reported data and was based on a sample of firms from three states of the USA. Thus results are limited by the specificity of this geographic context.
Practical implications
Small firms should use e‐government as an information source to enhance their market intelligence and build revenues. IT suppliers should emphasize e‐government services that link small firms to customers and collaborators, and facilitate access to key information resources. Government agencies should enhance their e‐government information services to improve small business performance and increase tax receipts.
Originality/value
The paper provides empirical evidence about the positive effect of use of e‐government services on the financial performance of small firms.
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Business is any legally permissible economic activity for gain. The first relation between government and business is that government determines by law what are the illegal…
Abstract
Business is any legally permissible economic activity for gain. The first relation between government and business is that government determines by law what are the illegal activities, e.g. fraud, crime, violence. Government is the rule maker.
Robert M. Davison, Christian Wagner and Louis C.K. Ma
To develop a model that can explain the “government to e‐government” transition process.
Abstract
Purpose
To develop a model that can explain the “government to e‐government” transition process.
Design/methodology/approach
Reviews the literature on and practice of e‐government, as well as the related literature of strategic alignment and maturity models for technology adoption. Offers evidence for the model's validity through case‐type material from the web sites of e‐governments worldwide.
Findings
Six transition paths can be identified, four of which are more likely to result in effective e‐government transition.
Research limitations/implications
Further work is needed to test the validity of the model. This could involve historical and longitudinal studies of the government to e‐government transition process in different governments around the world.
Practical implications
The transition model should be of value to e‐government strategic planners who are seeking possible transition paths towards the effective development of e‐government.
Originality/value
The paper tackles the little investigated topic of the transition process through which governments must go as they shift from traditional government to e‐government.
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The last decade of the twentieth century brought with it exponential growth of electronic commerce (EC). The growth of business‐to‐business (B2B) EC outpaced that of all other…
Abstract
The last decade of the twentieth century brought with it exponential growth of electronic commerce (EC). The growth of business‐to‐business (B2B) EC outpaced that of all other forms of EC. During roughly the same time period, benchmarking became an important approach for accessing organizational performance. Benchmarking is a methodology suitable for evaluating virtually any aspect of organizational performance in public or private organizations. In this manuscript B2B and benchmarking are discussed with the objective of developing directions for research and the application of B2B benchmarking. A framework for benchmarking B2B EC is proposed that describes five levels of benchmarking: independent B2B EC benchmarking, buyer‐seller (1:1) collaborative benchmarking, 1:M consortium benchmarking, 1:M:N collaborative benchmarking, and buyer‐intermediary benchmarking.
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