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The determination of sample size is a common task for many organizational researchers. Inappropriate, inadequate or excessive sample size continues to influence the quality, accuracy and costs of research. Sample size is one of the features of analysis that can influence the detection of significant differences for population so we can't ignore problem of sample size. This paper presents a procedure and a table for selecting sample size for simultaneously testing the parameters of a trinomial distribution. The results are obtained by examining the several possible value of a trinomial parameter vector and comparing the fixed first error type with the empirical one obtained by building the exact distribution through the code R. [ABSTRACT FROM AUTHOR]

This paper presents a multi-level decision making perspective of the innovation process. First, by considering the innovation process as a type of decision. Second, by viewing innovation as composed of multiple decision processes. Third, by analyzing innovation in terms of decision domains that "enable" innovation and that "execute" innovation. Fourth, by discussing how decision factors act as determinants of innovation. Implications are discussed and propositions are offered which consider several critical tasks in the successful management of innovation decision process(es). [ABSTRACT FROM AUTHOR]