System Artifact

14,000,000 Leading Edge Experts on the ideXlab platform

Scan Science and Technology

Contact Leading Edge Experts & Companies

Scan Science and Technology

Contact Leading Edge Experts & Companies

The Experts below are selected from a list of 39 Experts worldwide ranked by ideXlab platform

William Rasdorf - One of the best experts on this subject based on the ideXlab platform.

  • An Artifact modeling approach for developing integrated engineering Systems
    Building and Environment, 1992
    Co-Authors: Sivand Lakmazaheri, William Rasdorf
    Abstract:

    Abstract Engineering problem solving can be viewed as a transformation process in which the initial description of an engineering System (Artifact) transforms to its final description. This paper presents a single yet powerful approach for modeling engineering Artifacts. The approach involves using (1) a symbolic language for representing engineering Artifacts in terms of objects and relations and (2) a mechanical strategy for manipulating engineering Artifacts. The approach provides a common platform for modeling different phases of the engineering problem solving process, thus facilitating System integration.

Kevin Duffy - One of the best experts on this subject based on the ideXlab platform.

  • Missing in Action: The Information System Artifact in Information Systems Adoption and Use
    2006
    Co-Authors: Anand Jeyaraj, Kevin Duffy
    Abstract:

    Despite considerable research on information Systems adoption and use by individuals, little is known about how the information System (IS) Artifact itself affects adoption and use. Prior research has generally treated the IS Artifact as a “blackbox” such that it remained peripheral to the central questions asked regarding adoption and use. This paper presents a feature-centric “IS Artifact rating” scheme and shows one way in which to unravel the blackbox of the IS Artifact and examine its effect on adoption and use. Implications for research and practice are also presented.

Jonas Hedman - One of the best experts on this subject based on the ideXlab platform.

  • On Enterprise Systems Artifacts: Changes in Information Systems Development and Evaluation
    2003
    Co-Authors: Jonas Hedman
    Abstract:

    Enterprise Systems are one of the most important developments in corporate information Systems during the last decade. These integrated information Systems are characterized by a number of features which include a very broad scope and functionality, as well as being generic, master data, and business-process orientated. Together, these features make Enterprise Systems unique vis-a-vis other information Systems and have a profound impact on information Systems development and evaluation. For instance, analysis, design, and realization during traditional information System development is replaced by the selection of a System and the evaluation of an underlying reference model, as well as the setting of configuration parameters. The focus of the study is the Enterprise Systems Artifact and its impact on information Systems development and evaluation. The aims are 1) to improve our understanding of the key characteristics of Enterprise System Artifacts, leading to changes in information Systems development and the increased importance of evaluation and 2) to develop methods and evaluation approaches for Enterprise Systems. The main research approach applied in gaining an increased understanding has been Artifact evaluation, belonging to constructive research. The research reported upon in the thesis is presented in two parts. The first part synthesizes the text of part one with the seven included papers. The included papers address Enterprise Systems, information System development and evaluation in complementary ways leading up to the conclusion of part one. The concluding output of the thesis is an integrated framework addressing the implications of Enterprise System Artifacts for information Systems development and evaluation. The framework includes several causally-related components, including the Enterprise System Artifact and its key characteristics, an Enterprise System life cycle (including the four interrelated tasks of selection, configuration, implementation and use & operation), COTS implementation methods, and the changing purpose of evaluation. In a sense, the conclusion is a theorizing of the nature of Enterprise System Artifacts. Despite the fact that this thesis provides insights into the nature of Enterprise Systems, it is evident that more research is needed.

Sivand Lakmazaheri - One of the best experts on this subject based on the ideXlab platform.

  • An Artifact modeling approach for developing integrated engineering Systems
    Building and Environment, 1992
    Co-Authors: Sivand Lakmazaheri, William Rasdorf
    Abstract:

    Abstract Engineering problem solving can be viewed as a transformation process in which the initial description of an engineering System (Artifact) transforms to its final description. This paper presents a single yet powerful approach for modeling engineering Artifacts. The approach involves using (1) a symbolic language for representing engineering Artifacts in terms of objects and relations and (2) a mechanical strategy for manipulating engineering Artifacts. The approach provides a common platform for modeling different phases of the engineering problem solving process, thus facilitating System integration.

Anand Jeyaraj - One of the best experts on this subject based on the ideXlab platform.

  • Missing in Action: The Information System Artifact in Information Systems Adoption and Use
    2006
    Co-Authors: Anand Jeyaraj, Kevin Duffy
    Abstract:

    Despite considerable research on information Systems adoption and use by individuals, little is known about how the information System (IS) Artifact itself affects adoption and use. Prior research has generally treated the IS Artifact as a “blackbox” such that it remained peripheral to the central questions asked regarding adoption and use. This paper presents a feature-centric “IS Artifact rating” scheme and shows one way in which to unravel the blackbox of the IS Artifact and examine its effect on adoption and use. Implications for research and practice are also presented.