Connect and Develop : Inside Procter & Gamble's New Model for Innovation
- Authors
- Nabil Sakkab
- Journal
- Harvard business review
In The Last Decade
doi.org/w9697391 →Countries where authors are citing Connect and Develop : Inside Procter & Gamble's New Model for Innovation
This map shows the geographic impact of Connect and Develop : Inside Procter & Gamble's New Model for Innovation. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Connect and Develop : Inside Procter & Gamble's New Model for Innovation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Connect and Develop : Inside Procter & Gamble's New Model for Innovation more than expected).
Fields of papers citing Connect and Develop : Inside Procter & Gamble's New Model for Innovation
This network shows the impact of Connect and Develop : Inside Procter & Gamble's New Model for Innovation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Connect and Develop : Inside Procter & Gamble's New Model for Innovation.
About Connect and Develop : Inside Procter & Gamble's New Model for Innovation
This paper, published in 2006, received 464 indexed citations . Written by Nabil Sakkab. It is primarily cited by scholars working on Strategy and Management (325 citations), Management of Technology and Innovation (114 citations) and Computer Science Applications (110 citations). Published in Harvard business review.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.
This paper is also available at doi.org/w9697391.