• Login
    View Item 
    •   Home
    • UA Graduate and Undergraduate Research
    • UA Theses and Dissertations
    • Dissertations
    • View Item
    •   Home
    • UA Graduate and Undergraduate Research
    • UA Theses and Dissertations
    • Dissertations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UA Campus RepositoryCommunitiesTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournalThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournal

    My Account

    LoginRegister

    About

    AboutUA Faculty PublicationsUA DissertationsUA Master's ThesesUA Honors ThesesUA PressUA YearbooksUA CatalogsUA Libraries

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Channel Preference of Knowledge Sourcing

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    azu_etd_2707_sip1_m.pdf
    Size:
    558.6Kb
    Format:
    PDF
    Description:
    azu_etd_2707_sip1_m.pdf
    Download
    Author
    Zhang, Yiwen
    Issue Date
    2008
    Keywords
    channel preference
    knowledge sourcing
    discussion forums
    knowledge repository
    face-to-face communication
    Advisor
    Tanniru, Mohan
    Committee Chair
    Tanniru, Mohan
    Brown, Susan
    
    Metadata
    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Abstract
    Knowledge is the critical success factor for organizations to compete in the contemporary business world. Organizations that can make full use of their collective expertise and knowledge are likely to be more innovative, efficient and effective in the marketplace. With the development of advanced information and communication technology, organizations are undertaking various knowledge management initiatives to augment traditional ways of knowledge transfer. This dissertation intended to understand how various factors influence knowledge workers' knowledge sourcing behavior in the multimodal knowledge network. More specifically, our research question is: How do task characteristics, knowledge characteristics and individual characteristics influence knowledge workers' channel preferences during their knowledge sourcing activities?We built a knowledge sourcing preference model which predicts knowledge workers' preferences among various knowledge channels. We identified eight important antecedents from a wide spectrum of task characteristics, knowledge characteristics, and individual characteristics. We also identified three representative knowledge sourcing channels: face-to-face communication with colleagues, knowledge repositories, and discussion forums. We developed eight hypotheses on how each of the antecedent influence channel preferences.We tested our hypotheses through a survey we conducted in an international information technology company. Out of the eight hypotheses, the hypotheses on the influences from knowledge codifiability, knowledge volatility, extroversion/introversion dimension of the personality, and reciprocation wariness are supported. The hypotheses on the influences from task interdependency and task urgency are partially supported. The hypotheses on the influences from task routineness and expertise are not supported.This study furthers our understanding of knowledge workers' knowledge sourcing behavior in a multimodal knowledge network. The results of this study help organizations understand the advantages and disadvantages of various sourcing channels under certain circumstance of tasks, knowledge, and individuals. With this understanding, organizations will be able to have reasonable expectations on the utilization of knowledge transfer approaches, and to improve the effectiveness of the knowledge transfer initiatives. This will enable the organizations to cultivate environments or design systems to develop the types of channels to accommodate the preferences of knowledge workers with various combinations of tasks, knowledge and individual characteristics.
    Type
    text
    Electronic Dissertation
    Degree Name
    PhD
    Degree Level
    doctoral
    Degree Program
    Management Information Systems
    Graduate College
    Degree Grantor
    University of Arizona
    Collections
    Dissertations

    entitlement

     
    The University of Arizona Libraries | 1510 E. University Blvd. | Tucson, AZ 85721-0055
    Tel 520-621-6442 | repository@u.library.arizona.edu
    DSpace software copyright © 2002-2017  DuraSpace
    Quick Guide | Contact Us | Send Feedback
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.