The Experts below are selected from a list of 525246 Experts worldwide ranked by ideXlab platform

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

  • the benefits of Social Technology use among older adults are mediated by reduced loneliness
    Cyberpsychology Behavior and Social Networking, 2016
    Co-Authors: William J Chopik
    Abstract:

    Abstract Technology has the ability to enhance and enrich the lives of older adults by facilitating better interpersonal relationships. However, few studies have directly examined associations between Technology use for Social reasons and physical and psychological health among older adults. The current study examines the benefits of Technology use in 591 older adults from the 2012 wave of the Health and Retirement Study (Mage = 68.18, SD = 10.75; 55.5% female). Social Technology use was assessed through five Technology-based behaviors (i.e., using e-mail, Social networking sites, online video/phone calls, online chatting/instant messaging, using a smartphone). Attitudes toward the usability and benefits of Technology use were also assessed. Older adults had generally positive attitudes toward Technology. Higher Social Technology use was associated with better self-rated health, fewer chronic illnesses, higher subjective well-being, and fewer depressive symptoms. Furthermore, each of the links between soc...

Yiwen Yang - One of the best experts on this subject based on the ideXlab platform.

  • toward an understanding of the behavioral intention to use a Social networking site an extension of task Technology fit to Social Technology fit
    Computers in Human Behavior, 2014
    Co-Authors: Hsipeng Lu, Yiwen Yang
    Abstract:

    Abstract Social networking sites (SNS) are one of the recent popular Social media platforms. Successful SNS can attract millions of users in a few years, which has drawn much attention in the study of SNS. Understanding the relationships between a user’s intention and the utilization of SNS is an essential step in engaging the SNS as a marketing or educational tool. However, current research models for Technology acceptance can hardly explain the impact on the intention of using SNS from the perspective of Technology fit due to the lack of Social constructs. This study examines and compares the impact of task, Social, and Technology characteristics on users’ intentions in using SNS by integrating the task-Technology fit model and Social capital theory. Data of 315 Facebook users were collected from the online questionnaire, and processed using the SmartPLS version 2.0 for path analysis and hypotheses tests. The results reveal that the Social-Technology fit has a dominant impact over the taskTechnology fit on users’ intentions to employ SNS. For SNS research, it suggests a reconceptualization of the current task-Technology fit model by adding Social constructs if necessary.

Jonathan S Whitty - One of the best experts on this subject based on the ideXlab platform.

  • application of the systemic lessons learned knowledge model for organisational learning through projects
    International Journal of Project Management, 2016
    Co-Authors: Stephen Duffield, Jonathan S Whitty
    Abstract:

    Abstract This study is an application of the Systemic Lessons Learned Knowledge (Syllk) model that enables management to conceptualise how organisational know-how for projects is wired (distributed) across various elements of an organisation. The research method consisted of action research cycles within a large divisional branch of a government organisation. Knowledge management interventions and initiatives were implemented with three action research cycles completed. Actions and changes were observed, monitored, evaluated, and reflected on using an after action review process. This study has established that the alignment of the people and system elements (learning, culture, Social, Technology, process and infrastructure) can positively influence an organisation’s capability for organisation learning. This study shows how the Syllk model enables management to conceptualise (and illustrate) how organisational know-how is wired (distributed) across various people and system elements of an organisation.

  • developing a systemic lessons learned knowledge model for organisational learning through projects
    International Journal of Project Management, 2015
    Co-Authors: Stephen Duffield, Jonathan S Whitty
    Abstract:

    A significant challenge for government and business project organisations is to ensure that lessons are learned and that mistakes of the past are not repeated. Both knowledge and project management literature suggests that in practice lessons learned processes rarely happen, and when it does it is concerned with lessons identification rather than organisational learning. There are limited practical models for general management to use to conceptualise what organisational learning is and therefore how to enable it. However, aspects of health care, nuclear power, rail, and aviation organisations have successfully implemented organisational learning by way of the Swiss cheese model for safety and systemic failures. This paper proposes an adaptation of the Swiss cheese model to enable project organisations to conceptualise how they learn from past project experiences and distribute successful project know-how across an organisational network of elements such as individual learning, culture, Social, Technology, process and infrastructure.

Hsipeng Lu - One of the best experts on this subject based on the ideXlab platform.

  • toward an understanding of the behavioral intention to use a Social networking site an extension of task Technology fit to Social Technology fit
    Computers in Human Behavior, 2014
    Co-Authors: Hsipeng Lu, Yiwen Yang
    Abstract:

    Abstract Social networking sites (SNS) are one of the recent popular Social media platforms. Successful SNS can attract millions of users in a few years, which has drawn much attention in the study of SNS. Understanding the relationships between a user’s intention and the utilization of SNS is an essential step in engaging the SNS as a marketing or educational tool. However, current research models for Technology acceptance can hardly explain the impact on the intention of using SNS from the perspective of Technology fit due to the lack of Social constructs. This study examines and compares the impact of task, Social, and Technology characteristics on users’ intentions in using SNS by integrating the task-Technology fit model and Social capital theory. Data of 315 Facebook users were collected from the online questionnaire, and processed using the SmartPLS version 2.0 for path analysis and hypotheses tests. The results reveal that the Social-Technology fit has a dominant impact over the taskTechnology fit on users’ intentions to employ SNS. For SNS research, it suggests a reconceptualization of the current task-Technology fit model by adding Social constructs if necessary.

Stephen Duffield - One of the best experts on this subject based on the ideXlab platform.

  • application of the systemic lessons learned knowledge model for organisational learning through projects
    International Journal of Project Management, 2016
    Co-Authors: Stephen Duffield, Jonathan S Whitty
    Abstract:

    Abstract This study is an application of the Systemic Lessons Learned Knowledge (Syllk) model that enables management to conceptualise how organisational know-how for projects is wired (distributed) across various elements of an organisation. The research method consisted of action research cycles within a large divisional branch of a government organisation. Knowledge management interventions and initiatives were implemented with three action research cycles completed. Actions and changes were observed, monitored, evaluated, and reflected on using an after action review process. This study has established that the alignment of the people and system elements (learning, culture, Social, Technology, process and infrastructure) can positively influence an organisation’s capability for organisation learning. This study shows how the Syllk model enables management to conceptualise (and illustrate) how organisational know-how is wired (distributed) across various people and system elements of an organisation.

  • developing a systemic lessons learned knowledge model for organisational learning through projects
    International Journal of Project Management, 2015
    Co-Authors: Stephen Duffield, Jonathan S Whitty
    Abstract:

    A significant challenge for government and business project organisations is to ensure that lessons are learned and that mistakes of the past are not repeated. Both knowledge and project management literature suggests that in practice lessons learned processes rarely happen, and when it does it is concerned with lessons identification rather than organisational learning. There are limited practical models for general management to use to conceptualise what organisational learning is and therefore how to enable it. However, aspects of health care, nuclear power, rail, and aviation organisations have successfully implemented organisational learning by way of the Swiss cheese model for safety and systemic failures. This paper proposes an adaptation of the Swiss cheese model to enable project organisations to conceptualise how they learn from past project experiences and distribute successful project know-how across an organisational network of elements such as individual learning, culture, Social, Technology, process and infrastructure.