Bibliographic record
Abstract
Companies made more than 42,000 alliances over the past decade worldwide, many of which failed to deliver strong results. This book explains why and how you can seize the benefits from your business’s network of alliances with customers, suppliers and competitors. This network can provide three key advantages: · superior information · better cooperation · increased power Network Advantage shows how awareness of these three advantages can help align your portfolio of alliances with your corporate strategy to maximize advantages from existing networks and to position your business as an industry leader. This book is written by three leading authorities in the field of organizational management who work with many international corporate clients. Based on groundbreaking research and illustrative cases, it provides practical tools to help you think strategically about reconfiguring your alliances and partnerships. For business executives, consultants, and executive MBAs who want to get the most advantage from the combined power of their alliance portfolios, Network Advantage offers in-depth, practical guidance. Make it your first strategic connection to gaining competitive advantage! Companies’ connections to other firms—their network of alliances—matter for economic success. In this practical, jargon-free, evidence-based book, three experienced scholar/educators provide practical tools to understand your company’s network positioning and what to do to build webs of relationships that provide competitive advantage and economic value. —Jeffrey Pfeffer, professor, Graduate School of Business, Stanford University and co-author of The Knowing-Doing Gap. The book, Network Advantage, presents compelling ideas and is a must-read. It articulates three different perspectives to think about a firm’s network advantage and shows how a firm can maximize the value of its alliance network. The book is filled with theoretical and practical insights on the topic and offers captivating case studies to illustrate its key points. It is fun to read. I highly recommend this book. —W. Chan Kim, The BCG Chair Professor of INSEAD and the Co-director of the INSEAD Blue Ocean Strategy Institute In this eminently researched book, the authors show how executives and entrepreneurs alike can unlock the value of alliances. And the book comes with some "secrets" to success that most managers overlook. Every CEO, executive and entrepreneur who are collaborating with other firms ought to read this book. —Morten T. Hansen, Professor at University of California at Berkeley, author of Collaboration and co-author of Great by Choice. Don’t compete alone! “Network Advantage” provides a fresh perspective on how all firms can benefit from their alliances and partnerships. The authors seamlessly integrate academic research and real life examples into a practical step by step guide for unleashing the power, information and cooperation advantages available in networks. A must read for thoughtful executives and entrepreneurs alike. —Stein Ove Fenne, President, Tupperware U.S. & Canada Having the "right" business network is everything for a company's success in Asia and worldwide. With its rich cases and practical tools, this book is an indispensable guide for a thoughtful executive on how to design, build and manage a network that will make your firm globally competitive. —Yong-Kyung Lee, Former CEO of Korean Telecom, Member of the Korean National Assembly. Alliances and Partnerships, in their various formats and guises, are the bridges that allow businesses to thrive in their ecosystems by leveraging each other's strengths. The authors show how those bridges, when used appropriately, can help your firm create an alliance network to enhance your business power. The book contains many examples and models to help you shape your own alliance strategy in a world of ever increasing co-opetition. —Ricardo T. Dias, Strategic Alliances Director, Hewlett Packard (HP) Software, Asia Pacific & Japan
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.012 | 0.010 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.318 | 0.132 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".