Knowledge Management Implementation Challenges

Knowledge Management Implementation Challenges

The Handbook of Mergers and Acquisitions

With its inception at the end of the nineteenth century as a means of consolidation and reorganization, mergers and acquisitions (M&A) have since become quasi-institutionalized as one of the primary strategic options for organizations, as they seek to secure their position in an ever more competitive and globalizing market place. Despite the optimism surrounding M&A as strategic moves, research on post-merger company performance suggests that most firms engaging in M&A activity do not achieve the sought-after performance targets, either immediately or in the years following the deal. What is it that drives M&A activity when research results do not support the performance expectations of these undertakings? Alternatively, have M&A scholars got it all wrong in the way that M&A performance is measured? Is the topic too complex, enduring, and multifaceted to study? The Handbook argues that the field of M&A is in need of a re-rooting: past research needs to be critically reviewed, and fundamental assumptions revisited. A key issue preventing efforts in the practice and study of M&A from achieving dynamic syntheses has been the disciplinary gulf separating strategy, finance, and human relations schools. The Handbook aims to bridge the hitherto separate disciplines engaged in the study and practice of M&A to provide more meaningful results. Toward this end, the Handbook brings together a set of prominent and emerging scholars and practitioners engaged in the study of M&A to provide thought-provoking, state of the art overviews of M&A through four specific 'lenses' - strategic, financial, socio-cultural, and sectorial approaches. By summarizing key findings in current research and exploring ways in which the differing approaches could and should be 'synthesized', it aims to highlight the key issues facing M&A practitioners and academics at the dawn of the third millennium.

Cases on Enhancing Business Sustainability Through Knowledge Management Systems

Artificial intelligence (AI) is becoming a reality for pioneering organizations while they are facing complex and multifaceted aspects of business sustainability with ambiguous and changing ethical norms and vague or nonexistent legislation. The first quarter of the 21st century was identified as the beginning of the continuous, ongoing, and accelerating wave of simultaneous general purpose technologies revolutions causing accelerated shrinkage of the half-life of knowledge. Cases on Enhancing Business Sustainability Through Knowledge Management Systems presents teaching case studies exploring the formulation and implementation of knowledge management systems (KMS) in organizations. Covering topics such as automation, machine learning, and socio-ecological innovation, this case book is an essential resource for business leaders and managers, IT managers, entrepreneurs, government officials, computer scientists, students and educators of higher education, librarians, researchers, and academicians.