Exploring success factors for Taiwan's government electronic tendering system: behavioral perspectives from end users

Chu, Pin‐Yu; Hsiao, Naiyi; Lee, Fung-Wu; Chen, Chun-Wei

doi:10.1016/j.giq.2004.01.005

Cited by 100 publications

(64 citation statements)

References 20 publications

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“…However, it has some limited predictive ability as it explains 39% and 27% of the variation in BI and in AB constructs, respectively [7]. Many researchers have responded to such criticism by incorporating additional variables to the basic model of the theory, in an effort to produce more satisfactory explanations, likewise to fulfill and serve their research needs (see for example [5,16,33]). A pioneer attempt has been proposed in 1995 by Taylor and Todd [62].…”

Section: Model Developmentmentioning

confidence: 99%

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Predicting Citizens Acceptance of Government-led e-Participation Initiatives through Social Media: A Theoretical Model

Alarabiat¹,

Soares²,

Estévez³

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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Section: Model Developmentmentioning

confidence: 99%

“…Such idea is well-examined and explained in the Theory of Planned Behavior (TPB) [1]. The TPB shows a high capacity for explaining and predicting an individual acceptance behavior in various contexts [5,16,33,47,62]. Briefly, this theory seeks to understand and predict why a person may perform (or not perform) certain behaviors [1].…”

Section: Introductionmentioning

confidence: 99%

Predicting Citizens Acceptance of Government-led e-Participation Initiatives through Social Media: A Theoretical Model

Alarabiat¹,

Soares²,

Estévez³

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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“…This model seeks to explain users' acceptance of technology by proposing the predictors of system use. Many researchers have used the model as a means of understanding e-Government success and failure in their own countries (Arduini et al, 2010, Chu et al, 2004, Lau et al, 2008, Rehman and Esichaikul, 2011. The technology adoption model reveals both the implementation problems as well as the success factors in e-Government.…”

Section: Research Objectivesmentioning

confidence: 99%

“…For example, in understanding the critical success factors for government e-Procurement in Taiwan two different models have been used. Chue, Hsiao, Lee and Chen (2004) used the TPB, while Jang (2010) employed the DM-IS success model. In Kuwait, Alawadhi and Morris (2008) employed UTAUT to identify the key factors in e-Government adoption.…”

Section: Adoption Modelsmentioning

confidence: 99%

“…Risk and Trust (Belanger and Carter, 2008, Beldad et al, 2010, Carter et al, 2012, Horst et al, 2007b, Hussein et al, 2010, Mercuri, 2005, Rotchanakitumnuai, 2009, Sedaghat et al, 2007, Selke et al, 2008, Sweeney, 2007 10 DM-IS (Alruwaie et al, 2012, Floropoulos et al, 2010, Hussein et al, 2007, Jang, 2010, Kim and Song, 2009, Rana et al, 2013, Teo et al, 2008, Teo et al, 2009b, Wang and Liao, 2008b, Wang and Liao, 2008a 10 TPB (Chu et al, 2004, Hung et al, 2009, Lee and Rao, 2012, Shareef et al, 2011 4 (Al-Zoubi et al, 2011, Bigdeil et al, 2013, Pudjianto et al, 2011, Pudjianto and Hangjung, 2009, Srivastava and Teo, 2007, Srivastava and Teo, 2006, Srivastava and Teo, 2010 7 ~ 14 ~…”

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confidence: 99%

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Electronic government adoption in developing countries: the case of the Indonesian electronic procurement system

Nugroho¹

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Studies conducted in the disciplines of public administration, sociology, psychology and information systems have examined the factors supporting electronic government (e-Government) adoption. Such research is vital because-no matter how technically sophisticated an e-Government system-it will be useless if it is not adopted. For government procurement processes, electronic procurement (e-Procurement) is believed to enhance efficiency and transparency as well as reduce the incidence of corruption in these processes. Unfortunately, however, many developing countries that face the problem of public sector corruption have failed to successfully adopt e-Government systems, including e-Procurement. The lack of success in e-Government adoption has stimulated the interest of scholars to identify the key predictors of e-Government adoption in developing countries. As a contribution to this growing body of knowledge, the present study examines the possible predictors of e-Government adoption by using Indonesia's e-Procurement system as a case study. Indonesia was chosen as the case study because it is a developing country facing the problem of public sector corruption and because an e-Procurement system was introduced for use in government agencies in 2005.The literature presents several conceptual models that have been developed to understand the predictors of e-Government use. Generally, these conceptual models apply to pre-adoption settings (e.g. the technology acceptance model (TAM), unified theory of acceptance and use of technology (UTAUT), and technology-organisation-environment model (TOE)) where they identify the factors relating to the take-up of a new technology, or to continued use settings (e.g. the expectation confirmation model for information technology (ECM-IT)) where they identify the factors relating to the continued use of a technology. The predictors in these models have been validated by prior studies in various settings. However, there is a growing concern about the use of model predictors without adjusting them to take account of different contexts. At least two types of adjustment to context should be considered: first, the models are often developed for business settings, but government procedures and needs are different; second, the models have mostly been developed in the context of developed rich nations, not poorer developing worlds, and with this come different cultural attitudes to technology and educational and infrastructure levels. The present study is significant in that it tests the use of a pre-existing e-Procurement system by government agencies in a developing country. It not only assesses the continued intention to use, but also introduces a new measure of the level of adoption.In recognition of the need to adjust pre-existing adoption models, this study used a two-stage research design. The first stage used interviews with expert informants to either confirm existing iii predictors from well-established adoption models or identify new predictors for the e-Procurement and ...

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Environment, competitive strategy, and organizational characteristics: A path analytic model of construction organizations’ performance in South Africa

2016

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While mainstream strategic management researchers have paid attention to the causes of performance differential among organizations, there is a dearth of empirical research within the construction industry on the subject. We examine the relationship between environment, organizational characteristics, competitive strategies, and performance of construction organizations in the South African construction industry. In order to develop a model for improving organizations' performance, partial least squares was employed using quantitative data collected from a sample of 72 large construction firms listed on the Construction Industry Development Board contractors' register in South Africa. The results reveal that organizational characteristics have a direct influence on organizational performance, while the relationship between the business environment and organizational performance is mediated by competitive strategies.

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Exploring success factors for Taiwan's government electronic tendering system: behavioral perspectives from end users

Cited by 100 publications

References 20 publications

Predicting Citizens Acceptance of Government-led e-Participation Initiatives through Social Media: A Theoretical Model

Predicting Citizens Acceptance of Government-led e-Participation Initiatives through Social Media: A Theoretical Model

Electronic government adoption in developing countries: the case of the Indonesian electronic procurement system

Environment, competitive strategy, and organizational characteristics: A path analytic model of construction organizations’ performance in South Africa

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