ROAM — THE RESEARCH OPPORTUNITY ASSESSMENT MODEL FOR TARGETED INNOVATION
James M. Donatello () and
John E. Sawyer ()
Additional contact information
James M. Donatello: E. I. Dupont Company (Retired), Mentor Associates Inc., 817 West 19th Street, Wilmington, DE 19802, USA
John E. Sawyer: University of Delaware, Alfred Lerner College of Business & Economics, Department of Business Administration, 236 Alfred Lerner Hall, Newark, DE 19716, USA
International Journal of Innovation and Technology Management (IJITM), 2004, vol. 01, issue 01, 93-113
Abstract:
Knowledge-driven companies are facing financial and competitive pressures that make them increasingly difficult to allocate the kinds of financial resources to research as they have in the past. For this reason, corporate scientists, research managers and business managers must understand both the financial and knowledge returns associated with the research they conduct so that they can best direct and allocate resources to research that provides both financial returns and establishes the knowledge basis for future discovery and innovation. We present a model for assessing research opportunities both from the standpoint of responding to market needs and pushing forward new knowledge development. We illustrate the use of this analytic model in both market pull and research push examples. We argue that both business and research managers in corporations can use this analytical discipline to better join the needs of business and the research divisions that support them.
Keywords: Technology; research management; innovation; knowledge return (search for similar items in EconPapers)
Date: 2004
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219877004000064
Access to full text is restricted to subscribers
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitmx:v:01:y:2004:i:01:n:s0219877004000064
Ordering information: This journal article can be ordered from
DOI: 10.1142/S0219877004000064
Access Statistics for this article
International Journal of Innovation and Technology Management (IJITM) is currently edited by H K Tang
More articles in International Journal of Innovation and Technology Management (IJITM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().