Examining the Influence of Job Satisfaction on Individual Innovation and Its Components: Considering the Moderating Role of Technostress

Authors: Fatemeh Daneshmandi, Hassan Hessari, Tahmineh Nategh, Ali Bai

13 pages, 2 figures, 4 tables

Results of the summarizing process for the arXiv paper: 2310.13861v1

  • Comprehensive Summary
  • Key points
  • Layman's Summary
  • Blog article
In the current era, employee innovation plays a crucial role in the success of organizations. Therefore, it is essential to study the factors that influence individual innovation. One significant variable in management sciences is job satisfaction. With advancements in technology, all organizations are now interconnected with technology. The objective of this research is to explore the relationship between job satisfaction and individual innovation, including its components, while considering the moderating role of technostress. The study adopts an applied purpose and utilizes a descriptive survey as the data collection method. The Technostress Inventory by Tarafdar and colleagues (2007), Janssen's Individual Innovation Questionnaire (2000), and the Job Satisfaction Survey (JSS) by Spector (1994) were used as data collection tools, with their validity and reliability confirmed. The sample size for this study was 215, and data analysis was conducted using SPSS and SMART-PLS software. The findings reveal that job satisfaction has a significant and positive relationship with individual innovation, specifically in terms of idea generation, idea promotion, and idea implementation. Furthermore, technostress was found to moderate the relationship between job satisfaction and individual innovation as well as idea generation and idea promotion. However, technostress did not play a moderating role in the relationship between job satisfaction and idea implementation. Based on these results, organizations should take necessary measures to increase job satisfaction among employees while also addressing technostress issues. By doing so, organizations can foster a conducive environment for individual innovation within their workforce.
AI-generated keywords: Job Satisfaction Individual Innovation Technostress Idea Generation Idea Promotion

AI-generated Key Points

  • Employee innovation is crucial for organizational success
  • Factors influencing individual innovation should be studied
  • Job satisfaction is a significant variable in management sciences
  • Technological advancements have interconnected all organizations
  • The research aims to explore the relationship between job satisfaction and individual innovation, considering the moderating role of technostress
  • Descriptive survey used as data collection method
  • Data collection tools: Technostress Inventory, Individual Innovation Questionnaire, Job Satisfaction Survey
  • Sample size: 215 participants
  • Data analysis conducted using SPSS and SMART-PLS software
  • Job satisfaction has a positive relationship with individual innovation, specifically in terms of idea generation, promotion, and implementation.
  • Technostress moderates the relationship between job satisfaction and individual innovation, as well as idea generation and promotion.
  • Technostress does not moderate the relationship between job satisfaction and idea implementation.
  • Organizations should increase job satisfaction while addressing technostress to foster an environment conducive to individual innovation.
Also access our AI generated: Comprehensive summary, Lay summary, Blog-like article; or ask questions about this paper to our AI assistant.

Abstract: Background: Employee innovation is a crucial aspect of organizations in the current era. Therefore, studying the factors influencing individual innovation is vital and unavoidable. Undoubtedly, job satisfaction is a significant variable in management sciences. Nowadays, all organizations are interconnected with technology. Objective: This research explores the relationship between job satisfaction and individual innovation, including its components, and the moderating role of technostress. Research Method: This study, in terms of purpose, is applied, and in terms of data collection method, it is a descriptive survey. Data collection tools included the Technostress Inventory by Tarafdar and colleagues (2007), Janssen's Individual Innovation Questionnaire (2000), and the Job Satisfaction Survey (JSS) by Spector (1994). The validity and reliability of these questionnaires were confirmed. The sample size for this study was 215, and data analysis was performed using SPSS and SMART-PLS software. Findings: Job satisfaction has a significant and positive relationship with individual innovation, idea generation, idea promotion, and idea implementation. Technostress moderates the relationship between job satisfaction and individual innovation, as well as idea generation and idea promotion. However, technostress does not play a moderating role in the relationship between job satisfaction and idea implementation. Conclusion: Based on the obtained results, organizations should take necessary measures to increase job satisfaction and reduce technostress among their employees.

Submitted to arXiv on 20 Oct. 2023

Tools for this paper

Explain it differently 3 free rewrites left today
Export BibTeX · RIS (Zotero, Mendeley, EndNote) · Markdown (Notion, Obsidian) · Premium
Citation alerts Premium
Journal club Slides to present it Premium
For journalists Press kit and hype check Premium

Ask questions about this paper to our AI assistant

You can also chat with multiple papers at once here.

⚠The license of the paper does not allow us to build upon its content and the AI assistant only knows about the paper metadata rather than the full article.

Figures and plots

Ask about a figure by number or use its question button to request visual analysis. Up to two figures and four image panels per question. Values read from plots are approximate; check the original data.

AI assistant instructions?

Assess the quality of the AI-generated content by voting

Score: 0

Why do we need votes?

Votes are used to determine whether we need to re-run our summarizing tools. If the count reaches -10, our tools can be restarted.

The previous summary was created more than a year ago and can be re-run (if necessary) by clicking on the Run button below.

⚠The license of this specific paper does not allow us to build upon its content and the summarizing tools will be run using the paper metadata rather than the full article. However, it still does a good job, and you can also try our tools on papers with more open licenses.

Similar papers summarized with our AI tools

Navigate through even more similar papers through a

tree representation

Disclaimer: The AI-based summarization tool and virtual assistant provided on this website may not always provide accurate and complete summaries or responses. We encourage you to carefully review and evaluate the generated content to ensure its quality and relevance to your needs.