The influence of computer anxiety on experienced computer users while performing complex computer tasks

Resurrecting the evil genius: examining the relationship between unethical behavior and perceived competence

Purpose

Using the stereotype content model (SCM) as a framework, the authors examine how the negative relationship between peoples’ unethical behavior and perceptions of their competence only holds when the unethical act is simple.

Design/methodology/approach

In two studies, participants (n = 401) evaluated the competence of an employee who behaved unethically. In one condition, the unethical behavior was complex (e.g. computer hacking), while in the other it was simple (e.g. stealing items from a closet).

Findings

Our findings are built on prior work by showing that employees are considered significantly more competent when their unethical behavior is complex as opposed to simple (“evil genius” effect).

Practical implications

Employees may not be discouraged from engaging in complex unethical behavior if they recognize that it might not affect their reputation as a competent employee. Given the negative impact of unethical behavior, this is a consequence that organizations would likely seek to avoid.

Originality/value

The authors expand on the SCM by making a clear distinction between how certain behaviors (unethical and complex) influence trait perceptions (warmth and competence). In doing so, the authors identify a moderator – act complexity – that weakens the negative relationship between individuals’ unethical behavior and perceptions of their competence.

Computer anxiety in nursing: an investigation from Turkish nurses

The purpose of this study was to determine and analyze levels of computer anxiety in nurses at a public university hospital in Turkey. This study investigated the dimensions of computer anxiety in terms of computer literacy, self-efficacy, physical arousal, affective feelings, positive beliefs, and negative beliefs. Moreover in this study it was aimed to analyze relationships among computer anxiety and some characteristics of nurses (age, gender etc.). This study based on Beckers and Schmidt's computer anxiety model. The Beckers and Schmidt's Computer Anxiety Scale (BSCAS) was used for data collection. BSCAS comprises six factors: computer literacy, self-efficacy, physical arousal in the presence of computers, affective feelings towards computers, positive beliefs, and negative beliefs. At the end of the data collection period, 175 nurses were received from the population. The response rate was 43.75%. This study showed that a majority of nurses had medium levels of computer anxiety. Overall computer anxiety means score was 12.11±1.72. Computer anxiety has significant relationship with age (r=-.153; p<.05), personal computer ownership (r=.171; p<.05). The highest correlation was between overall computer anxiety and self efficacy (r=-.859), the lowest correlation was between overall computer and negative beliefs (r=-.653). Multiple regression analysis revealed that computer anxiety of nurses was predicted significantly by self efficacy, affective feelings, physical arousal, computer literacy, positive beliefs, and negative beliefs, respectively.