Michael A. Hignite

Predicting Internet/e-commerce use

Use of the Internet continues to grow at an explosive rate. While entertainment, education and communication serve as important applications of the Internet, e‐commerce continues to emerge as an increasingly significant business phenomenon. However, little empirical research exists to identify factors that influence the extent to which individuals use the Internet and e‐commerce. With the aid of survey research and a neural network, this study analyzes a wide range of variables in an attempt to identify accurate predictors of this usage. The results of the analysis identify gender, overall computer usage, job‐related use, and home access as important characteristics that should influence use of the Internet and e‐commerce.

A gender‐based categorization for conflict resolution

Purpose – As the workforce becomes increasingly diversified, it becomes increasingly important for managers to understand the conflict resolution attitudes brought to information systems (IS) by both men and women. This research was designed to investigate assumptions that may exist regarding the relationship between gender and conflict resolution. Specifically, the intent of this study was to compare the conflict resolution strategies of males and females majoring in IS in order to determine if gender‐based differences exist.Design/methodology/approach – The Thomas‐Kilmann Conflict Mode Instrument was utilized to assess the conflict resolution styles of 163 traditional‐age (18‐22) students enrolled in undergraduate IS courses at a large Midwestern university. Both ANOVA and t‐test analyses were utilized to investigate the relationship between gender and conflict resolution style.Findings – Results of this study indicate that, when compared with their male counterparts, women are more likely to utilize a ...