(Purpose) This study empirically examines the factors of high-tech employment with an emphasis on agenda-setting process across U.S. states during a 13-year period (2004-2016). (Design/methodology/approach) This study used a panel logistic estimation to analyze factors associated with high-tech employment. (Findings) Positive punctuation is driven by a neighboring state’s agenda-setting. This finding indicates that the social contagion and social learning model are applied to the high-tech employment. This result also suggests that high-tech employment in home state has already hit a peak and punctuation is less likely regardless of the neighboring state’s influence. State governments with more liberal ideological leaning can induce a sudden increase in high-tech employment. TELs increase the possibility of positive punctuation, and the line-item veto power decreases the possibility of positive punctuation. (Research implications or Originality) This study takes an initial step to analyze concrete mechanisms behind the punctuation of high-tech employment. In addition, this study is the first to link social contagion, a social learning model with punctuated equilibrium theory (PET). This study is the first to simultaneously analyze and compare the related mechanism factors of both punctuation and overall changes in high-tech employment. These results may provide practitioners valuable insight into factors associated with high-tech employment.
Ⅰ. Introduction
Ⅱ. Literature Review and Hypotheses
Ⅲ. Conceptual Framework
Ⅳ. Methods of Analysis
Ⅴ. Results
Ⅵ. Discussion and Conclusion
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