Prior work based on complexity theory has attempted, with some success, to predict general and managerial performance in complex, uncertain, and fluid task settings. The present paper evaluates a quasi‐experimental simulation technique that was specifically designed to measure the impact of individual differences in a number of managerial styles (including a style reflecting cognitive complexity) on executive performance. Twenty simulation‐based measures were tested for reliability and validity. On the basis of the data obtained from two separate samples, it was concluded that this quasi‐experimental simulation technology may be useful for assessing a number of managerial styles that are not currently tapped by other measurement methods. Research results reported in this paper, as well as results obtained in other concurrent efforts, are summarized.

One hundred eighty male managers participated as age-homogeneous 4-person teams in a validated all-day decision-making simulation. Fifteen teams consisted of 28- to 35-year-old participants (young), 15 teams were in the 45-55 age range (middle-aged), and 15 teams consisted of 65- to 75-year-old (older) persons. More than 40 objective performance measures (loading on 12-15 factors) were calculated on the basis of team decision making, planning, and other indicators. Performance by young and middle-aged teams was generally similar. Older teams made fewer decisions and were less strategic and less responsive to incoming information. Their overview of the task was less broad; action diversity and information search was reduced. However, older teams used opportunities and handled a simulated emergency as effectively as their younger and middle-aged counterparts. Alternative explanations for the obtained differences are presented.

Twenty-one male managers who normally drink moderate amounts of alcohol participated in a placebo-controlled, double-blind, cross-over experiment. Subjects consumed either placebo or alcoholic drinks to attain a breath alcohol level of 0.10 during the evening before participation in Strategic Management Simulations. By the time of arrival at the simultaion laboratory on the following morning, breath alcohol levels were measured at 0.00. Questionnaire responses indicated considerable hangover discomfort. Responses to semantic differential evaluative scales suggested that research participants evaluated their own managerial performance in the simulation setting as impaired. However, multiple (validated) measures of decision-making performance obtained in the simulation task did not show any deterioration of functioning. Previous research had shown considerable performance decrements in the same task setting, while blood/breath alcohol levels ranged from 0.05 through 0.10%. Apparently, complex decision-making competence by persons who normally consume moderate amounts of alcohol may not be impaired by hangover caused by intoxication during the previous evening that remains at or below a blood alcohol level of 0.10.

The Penn State Heart Assistant, a web-based, tablet computer-accessed, secure application was developed to conduct a proof of concept test, targeting patient self-care activities of heart failure patients including daily medication adherence, weight monitoring, and aerobic activity. Patients (n = 12) used the tablet computer-accessed program for 30 days-recording their information and viewing a short educational video. Linear random coefficient models assessed the relationship between weight and time and exercise and time. Good medication adherence (66% reporting taking 75% of prescribed medications) was reported. Group compliance over 30 days for weight and exercise was 84 percent. No persistent weight gain over 30 days, and some indication of weight loss (slope of weight vs time was negative (-0.17; p value = 0.002)), as well as increased exercise (slope of exercise vs time was positive (0.08; p value = 0.04)) was observed. This study suggests that mobile technology is feasible, acceptable, and has potential for cost-effective opportunities to manage heart failure patients safely at home.