
This literature review explores the influence of technostress creators on basic psychological needs of accounting lecturers, specifically autonomy, competence, and relatedness, as outlined by Self-Determination Theory (SDT). The rapid integration of technology into educational environments, accelerated by the COVID-19 pandemic, has significantly altered the teaching process, presenting both opportunities and challenges (Adarkwah, 2021; Afshan & Ahmed, 2020; Akmal et al., 2021). The increasing reliance on technology has also led to increased technostress among educators (Ab Wahab et al., 2022; Li & Wang, 2021), particularly accounting lecturers, who must continuously adapt to evolving technologies. Technostress creators, including techno-overload, techno-invasion, techno-complexity, techno-insecurity, and techno-uncertainty, disrupt the fulfillment of these psychological needs, impacting motivation, well-being, and satisfaction. This review synthesizes existing research to highlight how these stressors undermine lecturers' autonomy, competence, and relatedness. Additionally, it offers recommendations for mitigating technostress by fostering environments that support these basic psychological needs. The findings underscore the importance of addressing technostress in educational settings to enhance lecturers' motivation, performance, and well-being.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
