The Effect of Education on Information Systems Success

Research into the relationship between education and information systems (IS) success (use, satisfaction, and impact) has produced mixed results. Such results seem counterintuitive, given the many benefits that education brings to the workplace. However, workplace research from Human Resources (HR) has similarly found that education has little direct effect on job performance. Instead, education has indirect effects on job performance through job expertise, which is what drives behavior and job performance. The present research integrated the Delone & McLean IS Success Model with the Job Performance Model, and found similar results: in a survey of 465 professionals working in business analytics (BA), user education level had no direct effect on IS success (BA tool use, satisfaction, and impact). Instead, education level had a positive effect on expertise with the BA tool, which in turn positively affected BA tool use. These results build upon those from HR, and suggest that education has an indirect effect on IS success, rather than a direct effect.

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Integrating the Information Systems Success Model With Project Success Management Process

International Journal of Applied Management Theory and Research ◽

10.4018/ijamtr.2021070101 ◽

2021 ◽

Vol 3 (2) ◽

pp. 1-13

Author(s):

Ali Varshosaz ◽

João Varajão ◽

Nilton Takagi

Keyword(s):

Information Systems ◽

Project Success ◽

Position Paper ◽

Management Process ◽

Information Systems Success ◽

Is Success ◽

Actionable Knowledge ◽

Delone And Mclean ◽

Success Model ◽

Information Systems Success Model

DeLone and McLean information systems success model has become a reference for explaining the success of information systems (IS). Attempts to apply and test the model have resulted in both confirmation and challenges. One of those challenges is how to translate the learnings from this model into actionable knowledge. This position paper proposes the integration of the information systems success model with the success management process as a way of getting synergies from both models and improving the study and practice of IS projects. Moreover, the authors present several examples of IS success measures to be used in practice.

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An Extension to the Delone and Mclean Information Systems Success Model and Validation in the Internet Banking Context

Advanced Methodologies and Technologies in Business Operations and Management - Advances in Logistics, Operations, and Management Science ◽

10.4018/978-1-5225-7362-3.ch004 ◽

2019 ◽

pp. 61-75

Author(s):

Veeraraghavan Jagannathan ◽

Senthilarasu Balasubramanian ◽

Thamaraiselvan Natarajan

Keyword(s):

Information Systems ◽

User Satisfaction ◽

Information Quality ◽

Internet Banking ◽

Substantial Effect ◽

Information Systems Success ◽

Is Success ◽

Delone And Mclean ◽

Success Model ◽

Key Factor

The modern internet era opened a plethora of opportunities for doing business online. Internet banking (IB) is one such innovation that made great strides from its humble beginnings in the mid-1990s. It is important for bank practitioners to know the factors contributing to the success of new technology by customers to enable them to be better placed in the competitive segment. This study proposes an extension to the Delone and Mclean IS success model to evaluate information systems(IS) success in the context of internet banking, with security as a new dimension. Data was collected from 312 respondents. The results found that security is a key factor for IB success. Furthermore, the study found that the dimension system quality has not had any substantial effect on IB user satisfaction; however, security and information quality were found to influence user satisfaction. Based on the findings, some implications for research and practice were prescribed, in addition to directions for future researchers of IS success in the IB context.

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Predicting Flexibility and Success in Information Systems Planning: A System Dynamics Approach

Journal of Information & Knowledge Management ◽

10.1142/s0219649202000479 ◽

2002 ◽

Vol 01 (02) ◽

pp. 165-186 ◽

Cited By ~ 2

Author(s):

Ramaraj Palanisamy ◽

Sushil

Keyword(s):

Information Systems ◽

User Involvement ◽

Survey Method ◽

Systems Dynamics ◽

Information Systems Success ◽

Is Success ◽

Systems Planning ◽

Survey Results ◽

High Level ◽

Information Systems Planning

Organizations intend to achieve a high level of information systems flexibility and success. They plan information systems with multiple approaches and adopt different planning methodologies. A broad range of measurements is available in the literature to assess IS planning effectiveness and success. This study theoretically develops a causal model to assess and predict IS planning success, empirically validate the model, and simulate the empirically tested model to predict the "ends" and "means" of the IS planning. The Systems Dynamics approach is used to model and simulate the "ends" and "means" variables. The model represents the user involvement in IS planning and flexibility variables ("means") and IS success variables ("ends") in a framework. The questionnaire survey method is used to validate the model, and the survey was administered to 296 respondents from 42 organizations selected from eight different sectors. The survey results validate the existence of relationship between user involvement, flexibility, and IS success. The empirically validated model is used to predict flexibility and information systems success in the surveyed organizations.

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Information Systems Success in the Public Sector: Stakeholders' Perspectives and Emerging Alignment Model

10.28945/2939 ◽

2006 ◽

Cited By ~ 3

Author(s):

Ivana Elpez ◽

Dieter Fink

Keyword(s):

Information Systems ◽

Public Sector ◽

Private Sector ◽

Information Systems Success ◽

Is Success ◽

The Public ◽

Qualitative Case Studies ◽

Success Model ◽

Alignment Model ◽

Western Australian

There have been many attempts to define Information Systems (IS) success but they have mostly been in the private sector. This paper reviews existing IS success models and then takes into account stakeholders as well as public sector perspectives in conducting qualitative case studies of 3 major Western Australian government agencies. Findings of the study identified key IS success variables relevant to the public sector and characteristics that distinguish the public from the private sector. By aligning success variables with these characteristics, it was possible to conceptualise an early theoretical IS success model for the sector.

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Information Systems Success and Failure—Two Sides of One Coin, or Different in Nature? An Exploratory Study

Advances in End User Computing - Evolutionary Concepts in End User Productivity and Performance ◽

10.4018/978-1-60566-136-0.ch001 ◽

2011 ◽

pp. 1-18 ◽

Cited By ~ 2

Author(s):

Jeremy Fowler

Keyword(s):

Information Systems ◽

Exploratory Study ◽

Management Practices ◽

Research Literature ◽

Review Of The Literature ◽

Information Systems Success ◽

Is Success ◽

Factors Associated ◽

Two Sides ◽

Is Failure

Although the discipline of information systems (IS) development is well established, IS failure and abandonment remains widespread. As a result, a considerable amount of IS research literature has investigated, among other things, the factors associated with IS success and failure. However, little attention has been given to any possible relationships that exist among the uncovered factors. In an attempt to address this, we examine the development of a successful IS, and compare the factors associated with its success against the factors most reported in our review of the literature as being associated with IS failure. This may be an important area of study given, for example, project management practices may be affected by knowing whether success and failure are two sides of one coin, or different in nature. The results of our exploratory study showed that four of the six factors associated with the success of the investigated IS were related to the factors identified from our review of the literature as being associated with IS failure.

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An Extension to the Delone and Mclean Information Systems Success Model and Validation in the Internet Banking Context

Encyclopedia of Information Science and Technology, Fourth Edition ◽

10.4018/978-1-5225-2255-3.ch004 ◽

2018 ◽

pp. 49-60 ◽

Cited By ~ 2

Author(s):

Veeraraghavan Jagannathan ◽

Senthilarasu Balasubramanian ◽

Thamaraiselvan Natarajan

Keyword(s):

Information Systems ◽

User Satisfaction ◽

Information Quality ◽

Internet Banking ◽

Substantial Effect ◽

Information Systems Success ◽

Is Success ◽

Delone And Mclean ◽

Success Model ◽

Key Factor

The modern internet era opened a plethora of opportunities for doing business online. Internet banking (IB) is one such innovation which made greater strides from the humble beginnings in the mid 1990s. It is important for Bank practitioners to know what are the factors contributing to the success of new technology by customers to enable them better placed in the competitive segment. This study proposes an extension to the Delone and Mclean IS Success model to evaluate Information Systems(IS) success in the context of internet banking, with a security as a new dimension. Data collected from 312 respondents. The results found that security is a key factor for IB success. Furthermore, the study found that the dimension system quality has not had any substantial effect on IB user satisfaction, however, security and information quality if found to influence user satisfaction. Based on the findings, some implications for research and practice were prescribed, in addition to directions for future researchers of IS success in the IB context.

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Theoretical Foundations for Information Systems Success in Small- and Medium-Sized Enterprises

Measuring Organizational Information Systems Success ◽

10.4018/978-1-4666-0170-3.ch005 ◽

2012 ◽

pp. 80-100 ◽

Cited By ~ 1

Author(s):

Jan Devos ◽

Hendrik Van Landeghem ◽

Dirk Deschoolmeester

Keyword(s):

Information Systems ◽

Technology Acceptance ◽

Information Systems Success ◽

Is Success ◽

Is Research ◽

Business Goals ◽

Success Model ◽

Net Benefits ◽

Acceptance Model ◽

Theoretical Foundations

Small and medium-sized enterprises (SMEs) adopt Information Technology (IT) and Information Systems (IS) in order to achieve business goals and obtain net benefits. However, adopting IT/IS into an existing organizational structure is a complex and risky task. Many investments in IT/IS, outsourced as well as in-sourced, never fully reach the intended objectives and are therefore considered as not being successful. In this chapter, the authors focused on IS success in small and medium sized-enterprises (SMEs) in order to find theoretical foundations. They explain four well-known theories, often used in IS research, which constitute the basics of their thinking. These theories are the technology acceptance model (TAM), the theory of planned behavior (TPB), the DeLone & McLean IS success model (D&M), and the transaction cost economy (TCE) model. The authors weaved the constructs of these theories into a compound framework that delivers explanatory and predicting power for the successful adoption of IT/IS in SMEs. This framework is also consistent with the nomological IS network established by Benbasat and Zmud (Benbasat & Zmud, 2003). In order to validate the framework, the authors examined the extent to which the theoretical model could provide support for the Cobit framework, often used by practitioners as an IT governance framework, and also suitable for SMEs. Findings show that the framework offers surprising coherence and proposes a strong theoretical foundation for the normative directions of the methods used in Cobit by IT practitioners.

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Information Systems Success

Measuring Organizational Information Systems Success ◽

10.4018/978-1-4666-0170-3.ch004 ◽

2012 ◽

pp. 62-79

Author(s):

Hugo Martinez ◽

Luis Becerra ◽

Jaime Camacho

Keyword(s):

Information Systems ◽

Science Citation Index ◽

Citation Index ◽

Social Science Citation Index ◽

Science Citation ◽

Information Systems Success ◽

Is Success ◽

Research Areas ◽

Body Of Knowledge ◽

Set Up

This chapter characterizes the publication activity of Information Systems success by data collected from the Science Citation Index and Social Science Citation Index databases from ISI Web of Science during 2001 to 2010. It provides insights into the research activities of Information Systems success research and identifies patterns, tendencies, or regularities existing in the literature related to authors, journals, institutes, and countries. A co-ocurrence analysis of keywords is made to indicate the core themes research areas in the literature and new emerging topics. It is found that the IS success literature has a positive growth rate, and it is likely to continue with this tendency in the future. However, the analysis shows the need to set up a common language framework that serves as a guide to researchers to develop a most mature body of knowledge.

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A holistic framework to examine the impact of user, organizational and data factors on the use of big data analytics systems

Information Research: an international electronic journal ◽

10.47989/irpaper915 ◽

2021 ◽

Vol 26 (4) ◽

Author(s):

Shin-Yuan Hung ◽

◽

Charlie Chen ◽

Hoon Seok Choi ◽

Peter Ractham ◽

...

Keyword(s):

Big Data ◽

Job Performance ◽

Data Analytics ◽

Structural Equation ◽

Big Data Analytics ◽

Integrative Approach ◽

Business Analytics ◽

Information Systems Success ◽

Environment Model ◽

The Impact

Introduction. More than 80% of big data projects have failed to meet project sponsors' expectations. This study adopts the technology-organization-environment model to provide a holistic framework to examine the key factors contributing to the success of business analytics projects. Method. The paper develops a survey questionnaire consisting of thirty items on eight constructs, based on previous studies from cognitive-experiential self-efficacy, information technology mindfulness, technology-organization-environment, and information systems success theories. A total of 236 actual users in twenty organizations participated in the study. Analysis. We employed structural equation modelling with partial least squares to test the proposed hypotheses. Results. Our analysis shows that openness to novelty, the rational cognitive thinking style, organizational compatibility, organizational readiness, and data connectivity have a positive effect on the active use of big data analytics systems. Data compatibility does not emerge as a strong antecedent for frequency or duration. The active use of these types of applications is a mediating factor that can significantly improve individual job performance. Our findings provide insights into the user’s relative value, as well as organizational and data factors that can be used to promote big data analytics systems in an organization. Conclusions. Our findings strongly suggest that such an integrative approach can help an organization understand the challenges of promoting big data analytics to use and improve employees' job performance.

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