The Experts below are selected from a list of 294054 Experts worldwide ranked by ideXlab platform

Phillip L Ackerman - One of the best experts on this subject based on the ideXlab platform.

  • a longitudinal field investigation of gender differences in Individual Technology adoption decision making processes
    Organizational Behavior and Human Decision Processes, 2000
    Co-Authors: Viswanath Venkatesh, Michael G Morris, Phillip L Ackerman
    Abstract:

    This research investigated gender differences in the overlooked context of Individual adoption and sustained usage of Technology in the workplace using the theory of planned behavior (TPB). User reactions and Technology usage behavior were studied over a 5-month period among 355 workers being introduced to a new software Technology application. When compared to women's decisions, the decisions of men were more strongly influenced by their attitude toward using the new Technology. In contrast, women were more strongly influenced by subjective norm and perceived behavioral control. Sustained Technology usage behavior was driven by early usage behavior, thus fortifying the lasting influence of gender-based early evaluations of the new Technology. These findings were robust across income, organization position, education, and computer self-efficacy levels.

  • a longitudinal field investigation of gender differences in Individual Technology adoption decision making processes
    Organizational Behavior and Human Decision Processes, 2000
    Co-Authors: Viswanath Venkatesh, Michael G Morris, Phillip L Ackerman
    Abstract:

    This research investigated gender differences in the overlooked context of Individual adoption and sustained usage of Technology in the workplace using the theory of planned behavior (TPB). User reactions and Technology usage behavior were studied over a 5-month period among 355 workers being introduced to a new software Technology application. When compared to women's decisions, the decisions of men were more strongly influenced by their attitude toward using the new Technology. In contrast, women were more strongly influenced by subjective norm and perceived behavioral control. Sustained Technology usage behavior was driven by early usage behavior, thus fortifying the lasting influence of gender-based early evaluations of the new Technology. These findings were robust across income, organization position, education, and computer self-efficacy levels. Copyright 2000 Academic Press.

Donald Dimarzio - One of the best experts on this subject based on the ideXlab platform.

  • a system maturity index for the systems engineering life cycle
    International Journal of Industrial and Systems Engineering, 2008
    Co-Authors: Brian Sauser, Jose Emmanuel Ramirezmarquez, Devanandham Henry, Donald Dimarzio
    Abstract:

    In the United States (USA) National Aeronautics and Space Administration (NASA) and the USA Department of Defense (DoD) the Technology Readiness Level (TRL) scale is a measure of maturity of an Individual Technology, with a view towards operational use in a system context. A comprehensive set of concerns becomes relevant when this metric is abstracted from an Individual Technology to a system context. This paper proposes the development of a system-focused approach for managing system development and making effective and efficient decisions during a systems engineering life cycle. This paper presents a System Readiness Level (SRL) index that incorporates both the current TRL scale and an Integration Readiness Level (IRL) and provides a method for determining readiness of a system in the systems engineering life cycle. This paper concludes with a general discuss of the implication of the proposed SRL and how this may be applied to four case

  • a system maturity index for the systems engineering life cycle
    International Journal of Industrial and Systems Engineering, 2008
    Co-Authors: Brian Sauser, Jose Emmanuel Ramirezmarquez, Devanandham Henry, Donald Dimarzio
    Abstract:

    In the United States (USA) National Aeronautics and Space Administration (NASA) and the USA Department of Defense (DoD) the Technology Readiness Level (TRL) scale is a measure of maturity of an Individual Technology, with a view towards operational use in a system context. A comprehensive set of concerns becomes relevant when this metric is abstracted from an Individual Technology to a system context. This paper proposes the development of a system-focused approach for managing system development and making effective and efficient decisions during a systems engineering life cycle. This paper presents a System Readiness Level (SRL) index that incorporates both the current TRL scale and an Integration Readiness Level (IRL) and provides a method for determining readiness of a system in the systems engineering life cycle. This paper concludes with a general discuss of the implication of the proposed SRL and how this may be applied to four case examples.

Viswanath Venkatesh - One of the best experts on this subject based on the ideXlab platform.

  • a longitudinal field investigation of gender differences in Individual Technology adoption decision making processes
    Organizational Behavior and Human Decision Processes, 2000
    Co-Authors: Viswanath Venkatesh, Michael G Morris, Phillip L Ackerman
    Abstract:

    This research investigated gender differences in the overlooked context of Individual adoption and sustained usage of Technology in the workplace using the theory of planned behavior (TPB). User reactions and Technology usage behavior were studied over a 5-month period among 355 workers being introduced to a new software Technology application. When compared to women's decisions, the decisions of men were more strongly influenced by their attitude toward using the new Technology. In contrast, women were more strongly influenced by subjective norm and perceived behavioral control. Sustained Technology usage behavior was driven by early usage behavior, thus fortifying the lasting influence of gender-based early evaluations of the new Technology. These findings were robust across income, organization position, education, and computer self-efficacy levels.

  • a longitudinal field investigation of gender differences in Individual Technology adoption decision making processes
    Organizational Behavior and Human Decision Processes, 2000
    Co-Authors: Viswanath Venkatesh, Michael G Morris, Phillip L Ackerman
    Abstract:

    This research investigated gender differences in the overlooked context of Individual adoption and sustained usage of Technology in the workplace using the theory of planned behavior (TPB). User reactions and Technology usage behavior were studied over a 5-month period among 355 workers being introduced to a new software Technology application. When compared to women's decisions, the decisions of men were more strongly influenced by their attitude toward using the new Technology. In contrast, women were more strongly influenced by subjective norm and perceived behavioral control. Sustained Technology usage behavior was driven by early usage behavior, thus fortifying the lasting influence of gender-based early evaluations of the new Technology. These findings were robust across income, organization position, education, and computer self-efficacy levels. Copyright 2000 Academic Press.

Brian Sauser - One of the best experts on this subject based on the ideXlab platform.

  • a system maturity index for the systems engineering life cycle
    International Journal of Industrial and Systems Engineering, 2008
    Co-Authors: Brian Sauser, Jose Emmanuel Ramirezmarquez, Devanandham Henry, Donald Dimarzio
    Abstract:

    In the United States (USA) National Aeronautics and Space Administration (NASA) and the USA Department of Defense (DoD) the Technology Readiness Level (TRL) scale is a measure of maturity of an Individual Technology, with a view towards operational use in a system context. A comprehensive set of concerns becomes relevant when this metric is abstracted from an Individual Technology to a system context. This paper proposes the development of a system-focused approach for managing system development and making effective and efficient decisions during a systems engineering life cycle. This paper presents a System Readiness Level (SRL) index that incorporates both the current TRL scale and an Integration Readiness Level (IRL) and provides a method for determining readiness of a system in the systems engineering life cycle. This paper concludes with a general discuss of the implication of the proposed SRL and how this may be applied to four case

  • system maturity indices for decision support in the defense acquisition process
    2008
    Co-Authors: Brian Sauser, Romulo Magnaye, Jose Emmanuel Ramirezmarquez, Weiping Tan
    Abstract:

    Abstract : The Technology Readiness Level (TRL) scale is a measure of maturity of an Individual Technology, with a view towards operational use in a system context. A comprehensive set of concerns becomes relevant when this metric is abstracted from an Individual Technology to a system context, which may involve interplay among multiple technologies that are integrated through the defense acquisition process. This paper proposes the development of a system focused approach for managing system development and making effective and efficient decisions during the defense acquisition process. For this to be accomplished, a new System Readiness Level (SRL) index will incorporate both the current TRL scale and the concept of an integration readiness level (IRL). This paper describes the foundations for the SRL and provides techniques for determining current and future readiness of a system to determine its position in the defense acquisition process. In addition, it proposes optimization models than can provide management with an optimal development plan that can meet the objectives of the development team, based on constrained resources. These, in turn, can become the foundation for the development of a monitoring and evaluation tool that will be analogous to Earned Value Management used in project management.

  • a system maturity index for the systems engineering life cycle
    International Journal of Industrial and Systems Engineering, 2008
    Co-Authors: Brian Sauser, Jose Emmanuel Ramirezmarquez, Devanandham Henry, Donald Dimarzio
    Abstract:

    In the United States (USA) National Aeronautics and Space Administration (NASA) and the USA Department of Defense (DoD) the Technology Readiness Level (TRL) scale is a measure of maturity of an Individual Technology, with a view towards operational use in a system context. A comprehensive set of concerns becomes relevant when this metric is abstracted from an Individual Technology to a system context. This paper proposes the development of a system-focused approach for managing system development and making effective and efficient decisions during a systems engineering life cycle. This paper presents a System Readiness Level (SRL) index that incorporates both the current TRL scale and an Integration Readiness Level (IRL) and provides a method for determining readiness of a system in the systems engineering life cycle. This paper concludes with a general discuss of the implication of the proposed SRL and how this may be applied to four case examples.

Michael G Morris - One of the best experts on this subject based on the ideXlab platform.

  • a longitudinal field investigation of gender differences in Individual Technology adoption decision making processes
    Organizational Behavior and Human Decision Processes, 2000
    Co-Authors: Viswanath Venkatesh, Michael G Morris, Phillip L Ackerman
    Abstract:

    This research investigated gender differences in the overlooked context of Individual adoption and sustained usage of Technology in the workplace using the theory of planned behavior (TPB). User reactions and Technology usage behavior were studied over a 5-month period among 355 workers being introduced to a new software Technology application. When compared to women's decisions, the decisions of men were more strongly influenced by their attitude toward using the new Technology. In contrast, women were more strongly influenced by subjective norm and perceived behavioral control. Sustained Technology usage behavior was driven by early usage behavior, thus fortifying the lasting influence of gender-based early evaluations of the new Technology. These findings were robust across income, organization position, education, and computer self-efficacy levels.

  • a longitudinal field investigation of gender differences in Individual Technology adoption decision making processes
    Organizational Behavior and Human Decision Processes, 2000
    Co-Authors: Viswanath Venkatesh, Michael G Morris, Phillip L Ackerman
    Abstract:

    This research investigated gender differences in the overlooked context of Individual adoption and sustained usage of Technology in the workplace using the theory of planned behavior (TPB). User reactions and Technology usage behavior were studied over a 5-month period among 355 workers being introduced to a new software Technology application. When compared to women's decisions, the decisions of men were more strongly influenced by their attitude toward using the new Technology. In contrast, women were more strongly influenced by subjective norm and perceived behavioral control. Sustained Technology usage behavior was driven by early usage behavior, thus fortifying the lasting influence of gender-based early evaluations of the new Technology. These findings were robust across income, organization position, education, and computer self-efficacy levels. Copyright 2000 Academic Press.