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Traditional research management methods, the authors contend, are too unsystematic to continue to control the funding and allocation of men, money, and materials in research. Today, research and development (R&D) funds total $25 billion, of which federal funds account for 80%. If only because of researchers' responsibility for this cost, the authors say, "there "must" be a logical, rational way to select the tasks to be worked on and the resources to be expended on the effort."In fact, over the past decade a wide range of planning tools have been developed and tested; the authors believe they work; and this book gives an overview of the most significant resource allocation techniques now being used in government and industry.Among the suggested strategies for planning are rigorous goal identification, sample budgeting, time apportionment, and selection of those research paths which give the greatest over-all payoffs. The authors emphasize that hard choices must be made, and that research projects must be assigned a "value" rating so that most promising ones are given priority, while less important ones are deferred. The allocation of funds represents one of the most difficult but also one of the most fruitful aspects of the decision-making process. One of the methods for making such decisions is the Methodology for Allocating Corporate Resources to Objectives (MACRO) which has been used in Europe as well as in the U.S. Another procedure, now being employed by the Air Force Flight Dynamics Laboratory, involves the use of computerized planning programs.Only research that has been carefully planned will yield the most significant technological advances. Yet development must be just as carefully managed, for its cost may be phenomenal, and a wrong start could be catastrophic. Finally, the authors consider technological forecasting, which must be accurate enough to provide the judgment necessary to prevent over-extension of resources on the one hand, and incipient obsolescence. Here, as in current planning, rigorous management control must be practiced.
This report describes an experiment in productivity measurement conducted at the National Bureau of Standards. The experiment concludes that no matter how sophisticated the analysis and synthesis processes become, statistical counts of output media (e.g., publications, citations, invited talks) will not serve as reliable measures of R&D productivity. The conduct of the experiment included a work sampling study, a communications study, an output analysis, a value analysis approach to developing criteria for selection and evaluation of programs, construct of a rating system for evaluation of programs, and construction of a model of the R&D process.
This Handbook explores the opportunities and challenges of new technologies for innovating data collection and data analysis in the context of human resource management. Written by some of the world’s leading researchers in their field, it comprehensively explores modern qualitative research methods from good project design, to innovations in data sources and data collection methods and, finally, to best-practice in data analysis.
Develop the knowledge and skills to successfully complete an HRM research project with this essential handbook.