Keays, Steven, 1963-

The binary firm : digital management transformation for the non-digital organization / Steven J. Keays, M.A.Sc., P.Eng. - 1 online resource

"A Productivity Press book"--Ttitle page.

"The world beyond 2020 will be profoundly different than today. Radical transformative technologies are changing the relationship between mankind and machines in a way that Wells, Orwell, or Jobs even, could fathom. Nobody can tell for certain what will emerge from these tectonic shifts, save for the fact that the status quo is already obsolete. In effect, humanity has entered a new age in its evolution: the Symbiocene era. Societal issues notwithstanding, the existential concern for businesses and organizations everywhere is pressing: how survive, or better yet, thrive in this brave new scary world? The Binary Firm explores the orchestrating strategies to get in front of the technological tsunami that is sweeping the globe. Tsunami is not too strong a word: witness the threat posed by artificial intelligence to the very nature of work. The book constructs a conceptual management framework engineered to anticipate changes and power the organization to exploit them to its immediate advantage. The exposition goes beyond worn-out buzzwords like innovation, disruption, collaboration. It dives into the underlying foundation of an organization impacting its financial destiny. This book will resonate with managers and entrepreneurs who may struggle to master the often-mystifying rigors of digital forces. As goes the new adage, every business is a software company. But how to tame this feral beast? Readers will find pragmatic answers herein. No organization can afford the status quo in this era of pervasive interconnections. This is the playbook to change your game and succeed at digitally transforming your organization without breaking the bank"--

9781003022046 1003022049 9781000065596 1000065596 9781000065619 1000065618 9781000065602 100006560X


Management--Technological innovations.
Management--Statistical methods.
Big data.
BUSINESS & ECONOMICS / Management

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