The missing links: cultural, software, task and personal influences on computer self-efficacy

2012/02/10 by Ana Ortiz de Guinea, Ana Ortíz de Guinea, Jane Webster
Decision Sciences · Social Sciences · #Digital Marketing and Social Media #Knowledge Management and Sharing #Technology Adoption and User Behaviour

paper · doi:10.1080/09585192.2012.655758

openalex publication_date 2012/02/10 · openalex created_date 2025/10/10 · openalex updated_date 2025/11/06

Abstract

Culture exerts a fundamental effect on employees and their use of technologies. We examine the influence of culture (and other factors) on computer self-efficacy (CSE). CSE, or employees' judgments about their capabilities to use a specific software system, is important given its relationship with work performance. By drawing a sample from two different countries, we show that culture affects CSE indirectly through employees' preferences for individualism and task interdependence. Furthermore, individualism, task interdependence and software personal innovativeness relate positively, whereas task ambiguity and software complexity associate negatively with CSE. Finally, we discuss several implications for human resource management.

Citations

• Accounting for common method variance in cross-sectional research designs.
• Common method biases in behavioral research: A critical review of the literature and recommended remedies.
• Statistical power analysis for the behavioral sciences
• A quarter century of Culture's Consequences: a review of empirical research incorporating Hofstede's cultural values framework
• Computer Self-Efficacy: Development of a Measure and Initial Test
• Self-efficacy and work-related performance: A meta-analysis.

Related

• Computer Self-Efficacy: Development of a Measure and Initial Test
• The Effects of Technological Self-Efficacy and Job Focus on Job Performance, Attitudes, and Withdrawal Behaviors
• Personal Computing: Toward a Conceptual Model of Utilization1
• Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model
• What You Use is What You Get: Unforced Errors in Studying Cultural Aspects in Agile Software Development