Best Practices and Conceptual Innovations in Information Resources Management: Utilizing Technologies to Enable Global Progressions
IGI Global Snippet, 2009 - Business & Economics - 401 pages
Continuous technological innovation amidst the increasing complexity of organizational structures and operations has created the need to achieve a new level of skillful performance and innovative procedures within the information resources management sector. Best Practices and Conceptual Innovations in Information Resources Management: Utilizing Technologies to Enable Global Progressions provides authoritative insight into emerging developments in information resources management and how these technologies are shaping the way the world does business, creates policies, and advances organizational practices. With chapters delving into pertinent aspects of such disciplines as knowledge management, open source software, systems engineering, project management, and IT governance, this book offers audiences solutions for improved organizational functioning.
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analysis application behavior business process modeling complexity computer self-efficacy concepts consumer context COSOSIMO critical realism decision defined design science diffusion e-learning Economides effect size electronic email policy email system employees enterprise enterprise resource planning environment evaluation factors feedback Figure firms focus framework HD Makers identified impact implementation indices information resources information technology infrastructure innovation integrated interaction International Internet investment investment’s Journal knowledge sharing measure ment method methodology Mingers MIS Quarterly monitoring Multimethodology online purchase intent online shopping operational organization paradigm parameters perceived potential primary activity real options requirements Review risk role SATENA self-efficacy skills social staff stakeholders strategy structure success sunk cost sunk cost effect system-in-focus systems thinking Table technology acceptance model text mining theory tion topic understanding University user communities user satisfaction variables