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The purpose of this quantitative research was to determine if there are differences in scores on the Connor- Davidson Resilience Scale among undergraduate students involved in honors leadership programs at a four- year university. The study was an analysis of students’ reported resilience scores in relation to the number of leadership activities in which they participated to examine the potential impact of leadership practices on resilience levels of the students. Results of the dependent variables were the total resilience score, and the five factors of resilience: persistence and tenacity; emotional and cognitive control; adaptability and ability to bounce back; control; and spiritual influences. Independent variables were the number of leadership programs completed, age, gender, and class status. The level of significance used for the statistical test was .05. There was no significant difference in the total resilience scores among the three activity groups. However, a majority of students scored well above the national average score, and male students scored slightly higher than females. Additionally, females scored higher than the national average.

This paper aims to develop and argue for a new research path to advance theory on incumbent firm adaptation to discontinuous technological change. Integrating variance and process epistemologies, implications of distinguishing a firm's capacity to adapt from their adaptive choices are highlighted.

The concepts and argument presented are based on an extensive review and synthesis of the literature on the phenomenon.

Distinguishing resource-based capacity variables and behavioral-based choice variables can fuel progress in the literature on incumbent adaptation to technological changes. More attention is needed on the direct, proximate determinants of what occurs in the process of adaptation, e.g. the intermediate choices to adapt, the timing of adaptive actions and the selection of a means for adapting. Work must then associate specific choices with performance outcomes to complete both sides of the mediated cause-effect model connecting characteristics of the decision issue to performance.

Most studies toward understanding how incumbent firms adapt to discontinuous technological innovation have used variance analyses to identify firm and technology characteristics that explain adaptation outcomes. Focusing on characteristics and content, however, does not adequately explain why or how firms adapt. Scholars thus continue to lament the lack of clear, practical theory. I contend one heretofore unaddressed reason for this dissatisfaction is that too much of the research base neglects the importance of understanding choices and the factors affecting them.