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    The Innovation Gap Spirals

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    Framing the Effectiveness of Innovation Management: A Knowledge Management Perspective

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    Framing the effectiveness of innovation management processes is of great imporlance to any organization. The role of Knowledge Management in evaluating the effectiveness of innovation management is discussed from a gap analysis perspective. In addition, the chapter presents a method for the identihcation of any gaps which may exist in organìzational innovation management processes. The existence of such gaps may adversely affect the expected outcome of tl're innovation management process. The chapter also explores any distinction between the organizational/irnplementers' perception of innovation managelnent processes and consumers'/recipients' perception of innovation management outputs. Finally, the study seeks to identifu other management characteristics associated with the success or otherwise of innovation management in organizations. In so doing, the imporlance of addressing issues arising from knowledge management is addressed

    Could cultural sustainability improve organisational sustainability in cloud environments?

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    © 2015 by IGI Global. All rights reserved. This chapter provides an explorative analysis of cultural factors critical to the sustainable organisational developments within cloud environments. The chapter examines how businesses could improve their sustainability by creating sustainable cultures. The chapter debates sustainability issues such as the relationship between organizational culture and sustainable organisational developments. The chapter provides a list of key areas for creating a sustainable culture, for instance, the Change readiness assessment, Leadership and management support, Stakeholder involvement, and Education, as well as Communication. The chapter also discusses organizational culture and the close relationships between culture and sustainability. The chapter examines the relationships when creating sustainability culture and the key factors that will influence the change process

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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