the impact of computer self-efficacy and technology dependence on computer-related technostress: a...
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THE IMPACT OF COMPUTER SELF-EFFICACYAND TECHNOLOGY DEPENDENCE ONCOMPUTER-RELATED TECHNOSTRESS: A SOCIAL COGNITIVE THEORY PERSPECTIVE
Qin Shu, Qiang Tu & Kanliang Wang
Available online: 04 Mar 2011
International Journal of Human Computer Interaction
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Abstract
• Results show that
(a) employees with higher level of computer self-efficacy have
lower level of computer-related technostress
(c) employees under different individual situations may perceive
different levels of technostress.
(b) employees with higher level of technology dependence have
higher level of computer-related technostress
• Based on social cognitive theory (SCT), this study developed a conceptual model in which computer-related technostress was studied as consequences of computer self-efficacy and technology dependence.
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Outline
Introduction Theoretical Background Conceptual Model and Research Hypothesis Research Design Analysis and Results Discussion Implications and Future Research Directions
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INTRODUCTION
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Introduction
• As the importance of computers and the Internet grows in our society, people may experience negative emotions in actual or anticipated interactions with computers
• In addition, many individuals are fearful of new information and communication technologies (ICTs) because they anticipate that computers will eventually replace humans and the jobs they carry out in the workplace
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Introduction
• What causes technostress? ⇒ The rapidly advancing nature of technology. ⇒ Human cognitive limitations and the inability to adapt to the rapid changes in technology
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Introduction
• However, relatively fewer studies in the organizational behavior and information systems (IS) literature provide insights on how to effectively reduce computer-related technostress perceived by employees and increase IT productivity.
• In this study, we focus on the reasons that people feel technostressed in relation to both human factors and the characteristics of ICTs.
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THEORETICAL BACKGROUND1. Social Cognitive Theory
2. Technostress Literature
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Social Cognitive Theory• SCT:
a “theoretical framework for analyzing human motivation, thought, and action” that “embraces
an interact model of causation in which behavior, cognition and other personal factors,
and environmental influences all operate as interacting determinants that influence each
other bidirectionally”
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Social Cognitive Theory• According to SCT, self-efficacy is a major determinant of an
individual’s task performance and has been found to have diverse psychological and behavioral effects in many areas of human psychosocial functioning (Bandura, 1986, 1997).
• Bandura and other researchers have identified more than 23 antecedent and consequent factors that are theoretically related to computer self-efficacy (Marakas, Yi, & Johnson, 1998), including computer attitude, computer use, computer anxiety, and so on.
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Technostress Literature• Technostress:
• Clear symptoms of technostress includethe feeling of loss of control
increased irritability
inhibit an individual’s further learning or using computer and information technology
“negative impact on attitudes, thoughts, behaviors, or body
physiology that is caused either directly or indirectly by
technology”
the inability to concentrate on a
single issue
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Technostress Literature
Computer anxiety vs. Technostress
• a fear of computers when using one, or fearing the possibility of using a computer → refers to one’s emotional reaction toward using computer
• a kind of fallout of an individual’s inability to deal with constantly evolving ICTs and the changing cognitive and social requirements related to their use
→ In other words, it is a general construct that describes the direct and indirect impacts of ICTs.
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CONCEPTUAL MODEL AND
RESEARCH HYPOTHESIS1. Computer Self-Efficacy
2. Computer-Related Technology Dependence
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Conceptual Model
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Computer Self-Efficacy• According to SCT, self-efficacy influences individuals’ feelings of
stress and anxiety, including thought patterns and emotional reactions (Bandura, 1986).
H1: Computer self-efficacy is negatively related to
computer-related technostress.
↑ the use of a computer ↓ individual’s computer anxiety ↑ adapt to the changes and developments in computer technology and IT↓ resistance to technology change
↑computer self-efficacy
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Computer-Related Technology Dependence
• People become increasingly dependent on computer-related technology at work.
• An individual with higher technology dependence is more likely to face the trouble of computer-related technology:
H2: Technology dependence is positively related to computer-related technostress.
technology overloadcomplexity
uncertainty
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Technostress under different situations
• An additional research question is to find out whether employees perceive different levels of technostress under different configurations of individual situation.
• Four types of individual situation:
Technology Dependence
Computer Self-efficacy
B D
A C
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RESEARCH DESIGN1. Data Collection
2. Construct Measurement Instruments
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Data Collection• A total of 289 usable questionnaires were retained in the
following analysis, with a response rate of 82.6%.
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Construct Measurement Instruments - Technostress
• Tarafdar et al. (2007) identified five components of computer-related technostress from the perspective of sources of stress:
techno-overload
techno-invasion
techno-complexity
techno-insecurity
techno-uncertainty
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Construct Measurement Instruments - Self-efficacy
• Compeau and Higgins (1995):
• It consists of 10 items on a 7-point Likert scale, ranging from 1 (not at all confident) to 7 (totally confident). It asked responders to indicate whether you could use an unfamiliar software package under a variety of confident levels.
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Construct Measurement Instruments -Technology dependence
• There are no generally accepted measures of technology dependence in existing literature.
• Thus we developed a seven-item scale based on the works of McCune (1999) and Hoffman et al. (2004). This instrument also uses the 7-point Likert scale, ranging from 1 (strongly agree) to 7 (strongly disagree).
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ANALYSIS AND RESULTS
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Analysis and Results⑴ Exploratory factor analysis revealed seven clear factors.
⑵ Correlation analysis for the Pearson correlations of age, gender, education, and the three main constructs.
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SEM Analysis⑶
H1
H2
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Multivariate analysis of variance results
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DISCUSSION
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Discussion• Self-efficacy
• According to Bandura’s (1986, 1997) theory, the outcomes of self-efficacy generally fall into four major categories.
❶ It influences the situations and activities that affect individual’s choice behavior.
❷ It influences the extent to which individuals will exert the effort required to overcome obstacles and persist when confronted with aversive circumstances.
❸ It influences individuals’ feelings of stress and anxiety (thought patterns and emotional reactions).
❹ It can predicts performance and coping behavior.
computer self-efficacy ⇒ technostress
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Discussion• Technology dependence
High level of technology
dependence
⇧the introduction of
new computer technologies
develop new skills required for work
tech-complexity
tech-uncertainty
troubles
failures
technology overload
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Discussion• Employees under different individual situations may perceive
different levels of technostress.
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The end Thank you