The Impact of Task Technology Fit on Employee Job Performance

Abstract

In today’s dynamic global business economy, the use of information technology has become an essential and pervasive technique for organizational success. In this essence, the present study extends the unified theory of acceptance and use of technology with task technology fit to see how underpinned factors impact on employee intention to adopt information technology and enhance employee job performance. In order to test the proposed research model, the respondent’s observations are required. Therefore, an administrative survey was conducted towards Saudi public organizations. A survey questionnaire was distributed among middle-level managers working in HR departments of Saudi Public organizations. In response to administrative survey 398 questionnaires were returned with a response rate of 79.6%. Among 398 questionnaires 38 were discarded due to inappropriate answers and 358 questionnaires were finally used for structural equation modelling. The inclusion criterion was that HR managers must have knowledge about online services offering by respective organizations to employees. For data analysis, structural equation modelling approach was used. Results indicate that the extended the unified theory of acceptance and use of technology model has substantial power and explained 77.0% variance in employee intention to adopt the technology. The effect size analysis showed that within extended model effort expectancy was the most important factor. The predictive relevance of the model was also adequate. Finally, importance of performance matrix analysis suggested that managers and policymakers should focus on effort expectancy, task characteristics, technology characteristics and supervisor support to boost employee intention to adopt technology and employee job performance. Keywords: employee job performance, innovation valance, intention to adopt technology, moderating analysis, structural equation modelling, supervisory support.

The Role of Employees’ Technology Readiness, Job Meaningfulness and Proactive Personality in Adaptive Performance

“…Besides that, organizations have also taken preparatory measures in communicating the changes in technology to their employees so that they would be aware of and ready to face digital transformation [32,33]. However, readiness to face digital transformation is the responsibility of not only organizations, but the employees also have the obligation to be prepared, have the tendency to utilize technology [34,35] and to adapt to new job structures based on digitalization [6].…”

Determinant Factors for Adoption of Government as a Platform in South Korea: Mediating Effects on the Perception of Intelligent Information Technology

“…Table 2 lists empirical research on the acceptance of informatization, focusing on public officers. Although there is already a tremendous amount of research into technology acceptance, we examined the recent research as much as possible, focusing on the time period after the mid-2010s in order to reflect the latest research trends [30][31][32][33][34][35][36][37][38]. As shown in Table 2, the most recent acceptance of informatization studies was conducted in developing countries, because developing countries have applied e-Government in the public sector, and even some developing countries still have difficulty adopting e-Government due to technical and organizational factors.…”

“…As shown in Table 2, the most recent acceptance of informatization studies was conducted in developing countries, because developing countries have applied e-Government in the public sector, and even some developing countries still have difficulty adopting e-Government due to technical and organizational factors. From the aspects of research frameworks, most studies have used a similar framework based on the existing user acceptance model involving the Unified Theory of Acceptance and Use of Technology (UTAUT) [32][33][34][35][36]38]. This study is closest to the user acceptance approach, because GaaP is currently not embedded in the public sector.…”

Illegal activities of financial intermediaries: A burden of trust crisis

“…Structural equation modeling offers an effective way of understanding abstract concepts. This leads to SEM dissemination in social studies (Atef et al, 2017, Lekovic & Bobera, 2018, Alyoubi et al, 2019, Alsua et al, 2019, Muneeb et al, 2019, Akhondzadeh, 2019, Sadiq et al, 2020, including trust (Al Halbusi et al, 2018, Mas'ud et al, 2019. STATISTICA 13.3 was selected for confirmatory modeling and PATH analysis, as well as testing for its reliability and validity.…”