Effectiveness of information technology in reducing corruption in China

2015 ◽  
Vol 33 (1) ◽  
pp. 52-64 ◽  
Author(s):  
Hu Xinli
Keyword(s):  
Information Technology ◽  
Electronic Monitoring ◽  
Point Of View ◽  
Is Success ◽  
Content Type ◽  
Is Success Model ◽  
Delone And Mclean ◽  
Success Model ◽  
The People ◽  
The Status

Purpose – The purpose of this paper is to examine the effectiveness of information technology in reducing corruption in China. Meanwhile this paper explores whether electronic monitoring systems (EMS) can be evaluated in terms of the DeLone and McLean information systems (IS) success model. Design/methodology/approach – The status of the EMS in five cities is first proposed, and then a model of e-government system success is designed to evaluate the EMS. Data are obtained from 387 civil servants in the supervision agencies. Then the effectiveness of EMS in reducing corruption is deeply assessed, and the DeLone and McLean IS success model is validated. Findings – The findings show that the application of EMS has a positive effect on reducing corruption. IT thus has the potential to reduce corruption, but the institution and the people are more important. Originality/value – Although many theories about reducing corruption have been proposed, the EMS application in reducing corruption has seldom been addressed. This study is the first, to the author's knowledge, to examine EMS and corruption reduction from the point of view of the IS success model.

A hybrid model for exploring the antecedents of cloud ERP continuance

2019 ◽  
Vol 15 (2) ◽  
pp. 215-235 ◽  
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Hybrid Model ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
System Quality ◽  
Continuance Intention ◽  
Is Success ◽  
Content Type ◽  
Is Success Model ◽  
Delone And Mclean ◽  
Success Model

Purpose This study aims to propose a hybrid model based on expectation–confirmation model (ECM), DeLone and McLean IS success model and task-technology fit (TTF) model to examine whether quality factors and TTF as the antecedents to user beliefs can affect organizational users’ continuance intention of cloud enterprise resource planning (ERP). Design/methodology/approach Sample data for this study were collected from end-users of cloud ERP working in companies in Taiwan. A total of 370 questionnaires were distributed in the 37 sample companies, and 315 (85.1 per cent) usable questionnaires were analyzed using structural equation modeling in this study. Findings This study’s findings indicated that users’ perceptions of system quality, information quality and TTF all contributed significantly to their satisfaction, confirmation and perceived usefulness (PU) of cloud ERP, which in turn directly or indirectly led to their continuance intention of cloud ERP; that is, the results strongly supported the hybrid model integrating ECM, DeLone and McLean IS success model and TTF model with all hypothesized links being significant. Originality/value Empirically, this study’s research model capturing ECM, DeLone and McLean IS success model and TTF model has significantly shed light on the possible formulation of a richer post-adoption model. Noteworthily, considerably more attention should be paid to the fit between information-related characteristics and cloud ERP users’ work goals and needs, while TTF, based on both system-related and information-related technology characteristics, significantly contributes to users’ satisfaction, confirmation and PU, which together directly or indirectly explain their intention to continue using cloud ERP.

The Influence of Quality on E-Commerce Success

2011 ◽  
pp. 287-302
Author(s):  
Ultan Sharkey ◽  
Murray Scott ◽  
Thomas Acton
Keyword(s):  
User Satisfaction ◽  
Information Quality ◽  
Intention To Use ◽  
System Quality ◽  
Is Success ◽  
Is Success Model ◽  
Significant Relationships ◽  
Delone And Mclean ◽  
Success Model ◽  
Predicting Success

This research addresses difficulties in measuring e-commerce success by implementing the DeLone and McLean (D&M) model of IS success (1992, 2003) in an e-commerce environment. This research considers the influence of quality on e-commerce success by measuring the information quality and system quality attributes of an e-commerce system and the intention to use, user satisfaction and intention to transact from a sample of respondents. This research provides an empirical e-commerce application of the updated IS success model proposed by DeLone and McLean (2003). This paper found significant relationships between Information Quality and System Quality and three success dimensions: intention to use, user satisfaction and intention to transact. It found the following constructs to be most important in predicting success: ease of understanding, personalisation and reliability. In particular, that reliability is more important than usability where transactions are concerned and security though important, is not the most important factor.

A Model of Knowledge Management Success

2011 ◽  
pp. 34-51 ◽  
Author(s):  
Murray E. Jennex ◽  
Lorne Olfman
Keyword(s):  
Knowledge Management ◽  
Longitudinal Study ◽  
Theoretical Basis ◽  
Success Factors ◽  
Is Success ◽  
Is Success Model ◽  
Delone And Mclean ◽  
Success Model ◽  
Success Criteria ◽  
Proposed Model

This paper describes a knowledge management, KM, Success Model that is derived from observations generated through a longitudinal study of KM in an engineering organization, KM success factors found in the literature, and modified by the application of these observations and success factors in various projects. The DeLone and McLean (1992, 2003) IS Success Model was used as a framework for the model as it was found to fit the observed success criteria and it provided an accepted theoretical basis for the proposed model.

scholarly journals Measuring E-Commerce Success in Malaysia: Modified Delone Mclean Model with Trust and Privacy

2018 ◽  
Vol 7 (4.15) ◽  
pp. 524
Author(s):  
Najma Imtiaz Ali ◽  
Suhaila Samsuri ◽  
Muhamad Sadry Abu Seman ◽  
Imtiaz Ali Brohi ◽  
Asadullah Shah
Keyword(s):  
Service Quality ◽  
User Satisfaction ◽  
Information Quality ◽  
Quality System ◽  
System Quality ◽  
Is Success ◽  
Is Success Model ◽  
Delone And Mclean ◽  
Success Model ◽  
Net Benefits

With the influx of the Internet, Business to Customer E-commerce (B2c e-Commerce) has gained popularity around the globe. Although a number of researches has been done to know the factors affecting the adoption of e-commerce, however, not much research has done to know the effects of e-commerce on online shopping success.  DeLone and McLean introduced the Information System (IS) success model in year 1992, later on, refined the same model with the newer concept, to fully understand the effects of IS success. In this paper, authors have used the DeLone and McLean IS success model 2003 with addition two constructs Privacy and Trust.  Seven interrelated dimensions of e-commerce were examined namely, Service Quality, System Quality, Trust, Privacy, User satisfaction and Net benefits. The proposed model and the relationship between the various constructs were measured by gathering the data from 381 users from the business faculty of Klang valley universities in Malaysia. Seven interconnected dimensions of B2C e-commerce success were confirmed namely, Service Quality, System Quality, Information Quality, Trust, Privacy along with User Satisfaction and Net Benefits. Confirmatory Factor Analysis CFA and SEM were used to analyse the collected data and proved the hypothesis. The results revealed that system quality, service quality, trust and privacy are directly related to user satisfaction which in turn directly related to net benefits, whereas information quality has no any influence on user satisfaction in terms of e-commerce. 

Extending the expectation-confirmation model with quality and flow to explore nurses’ continued blended e-learning intention

2014 ◽  
Vol 27 (3) ◽  
pp. 230-258 ◽  
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Information Quality ◽  
Support Service ◽  
Learning System ◽  
System Quality ◽  
Continuance Intention ◽  
Is Success ◽  
Content Type ◽  
Delone And Mclean ◽  
Success Model ◽  
E Learning

Purpose – The purpose of this paper is to propose a hybrid model based on the expectation-confirmation model (ECM), flow theory, and updated DeLone and McLean information system (IS) success model to examine whether quality factors as the antecedents to nurse beliefs affected nurses’ intention to continue using the blended electronic learning (e-learning) system. Design/methodology/approach – Sample data for this study were collected from nurses at five hospitals in Taiwan. A total of 500 questionnaires were distributed, 396 (79.2 percent) questionnaires were returned. Consequently, 378 usable questionnaires were analyzed in this study, with a usable response rate of 75.6 percent. Collected data were analyzed using structural equation modeling. Findings – Information quality, system quality, support service quality, and instructor quality contribute significantly to perceived usefulness (PU), confirmation, and flow, which together explain nurses’ satisfaction with the usage of the blended e-learning system, and this in turn leads to their continued system usage intention. Originality/value – First, the application of the ECM with the view of updated DeLone and McLean IS success model reveals deep insights into quality evaluation (including information quality, system quality, and support service quality) in the field of nurses’ e-learning continuance intention. Especially, this study additionally contributes to the identification of instructor quality that may lead to nurses’ continued blended e-learning usage intention. Next, the empirical evidence on capturing both extrinsic motivator (i.e. PU) and intrinsic motivator (i.e. flow) for completely explaining quality antecedents of nurses’ blended e-learning continuance intention is well documented.

A Model of Knowledge Management Success

2010 ◽  
pp. 14-31 ◽  
Author(s):  
Murray E. Jennex ◽  
Lorne Olfman
Keyword(s):  
Knowledge Management ◽  
Longitudinal Study ◽  
Theoretical Basis ◽  
Success Factors ◽  
Is Success ◽  
Is Success Model ◽  
Delone And Mclean ◽  
Success Model ◽  
Success Criteria ◽  
Proposed Model

This chapter describes a knowledge management (KM), Success Model that is derived from observations generated through a longitudinal study of KM in an engineering organization, KM success factors found in the literature, and modified by the application of these observations and success factors in various projects. The DeLone and McLean (1992, 2003) IS Success Model was used as a framework for the model as it was found to fit the observed success criteria and it provided an accepted theoretical basis for the proposed model.

What drives organizations to switch to cloud ERP systems? The impacts of enablers and inhibitors

2020 ◽  
Vol 33 (3) ◽  
pp. 600-626 ◽  
Author(s):  
Yu-Wei Chang
Keyword(s):  
Cloud Computing ◽  
Switching Costs ◽  
Sunk Costs ◽  
Equation Modeling ◽  
Erp Systems ◽  
Is Success ◽  
Content Type ◽  
Is Success Model ◽  
Success Model ◽  
Toe Framework

PurposeSwitching to public cloud enterprise resource planning (ERP) systems not only provides financial and functional benefits to organizations, but also results in sunk costs of incumbent systems and uncertainty costs of cloud systems. The purpose of this study is to investigate the enablers and inhibitors concerning switching to cloud ERP systems at the organizational level.Design/methodology/approachData were collected from 212 top managers and owners of the enterprises in Taiwan, and 10 hypotheses were examined using structural equation modeling.FindingsTechnological (system quality), organizational (financial advantage), and environmental contexts (industry pressure) are found to be the antecedents of switching benefits. Perceived risk of cloud ERP systems and satisfaction with and breadth of use of incumbent ERP systems are found to be the predictors of switching costs. Switching benefits positively affect switching intention, but switching costs negatively affect switching intention.Research limitations/implicationsThis study develops a theoretical model grounded in a set of theoretical foundations, including two-factor theory, technology-organization-environment (TOE) framework, information systems (IS) success model, and expectation confirmation theory (ECT). Two-factor theory is used to characterize switching benefits and costs that affect switching intention. Technological factors come from IS success model, and the factors affecting benefits are organized based on TOE framework. Sunk costs of incumbent ERP systems are developed based on ECT.Originality/valueDifferent from previous studies on cloud computing adoption, this study provides insights into switching intention to cloud computing. The study also proposes an integrated model grounded in multiple perspectives to explain organizations' decisions to switch to cloud ERP systems. These findings help cloud service providers better understand how to promote cloud ERP adoption from technical, organizational, and environmental perspectives.

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