This attached research paper entitled "Overuse of Digital Technology as a Predictor of Digital Amnesia and Productivity" prepared and submitted by "Chiew Ooi Yan, Liew Wen Xin, Lai An Qi" in partial fulfillment of the requirements for the Bachelor of Social Sciences (Hons) Psychology is hereby accepted. The present study is needed to examine the relationship between overuse of digital technology and digital amnesia and productivity. On the other hand, the present study also investigated whether excessive use of digital technology significantly predicted low productivity.
Theoretically, the current research is devoted to the latest results of the past literature, especially for Malaysian youth. Thus, it enables them to create related activities and modules to help young people in Malaysia who are facing excessive use of digital technology.
Introduction
To identify the relationship between digital technology overuse and digital amnesia among young adults in Malaysia. To identify the relationship between digital technology overuse and productivity among young adults in Malaysia. Is there any significant association between overuse of digital technology and digital amnesia among young adults in Malaysia.
Is there any significant relationship between digital technology overuse and the productivity of young adults in Malaysia. H0: There is no significant relationship between digital technology overuse and digital amnesia among young adults in Malaysia. H1: There is a significant relationship between overuse of digital technology and digital amnesia among young adults in Malaysia.
H0: There is no significant relationship between excessive use of digital technology and the productivity of young adults in Malaysia. H1: There is a significant relationship between excessive use of digital technology and the productivity of young adults in Malaysia.
Literature Review
Methodology
A cross-sectional survey design is chosen as the study survey research design to investigate the relationship between digital amnesia, productivity and digital technology overuse among young adults in Malaysia. The reason for choosing young adults as the participants for the study is that nowadays young adults have a significant impact on the use of digital technology during their daily lives (Annie & . Anshari, 2017). In addition, four questions were created in the first section to collect demographic information.
This study adapted the Digital Addiction Scale (DAS) to infer the level of digital technology overuse among young adults. The overuse of digital technology was measured when the points were summed and divided by the number of items. Participants were asked to rate from 1 “Once or less in the last month” to 5 “One or more times a day”.
After that, the questionnaire will be made by Qualtrics, as the data collection is done through an online survey. The next step for the participants is to complete the questionnaire which is divided into three parts, namely the Digital Addiction Scale (DAS), Everyday Memory Questionnaire- Revised (EMQ-R), and Work Productivity and Activity Impairment – Specific Health Problem ( WPAI-) SHP). After the data was collected, SPSS was used to calculate data for the results.
For the pilot study of Digital Addiction Scale (DAS), the Cronbach's alpha (α = 0.79); meanwhile, the Cronbach's alpha of Everyday Memory Questionnaire – Revised (EMQ-R) is (α = 0.88), and the Cronbach's alpha for the Work Productivity and Activity Impairment – Specific Health Problem (WPAI-SHP) is (α = 0.71). In addition, the descriptive statistics including age, sex, ethnicity and the total scores of DAS, EMQ-R and WPAI-SHP will be present in tabular form with mean and the standard deviation. In the inferential statistics, the Pearson Correlation Coefficient and Simple Linear Regression were adjusted to obtain the statistical results among the variables.
According to Gupta et al. 2019), the test of normality continued with the measurement of central tendency and data analysis in statistical methods. Asymmetry measures the direction and degree of asymmetry in the distribution of statistical data and the numerical characteristic of the degree of asymmetry in the distribution of statistical data. Because kurtosis is a statistic that describes the slope of the distribution of all values in a population (Kim, 2013). a skewness and kurtosis of 0, and a z-score between 1.96, the data can be considered to be normally distributed.
Results
Relationship between overuse of digital technology, digital amnesia and productivity H0: There is no significant relationship between overuse of digital technology and productivity of young adults in Malaysia. Pearson product moment correlation was conducted to identify the relationship between excessive use of digital technology and digital amnesia. Pearson product moment correlation was conducted to identify the relationship between excessive use of digital technology and productivity.
The results show that there is no significant relationship between digital technology overuse and productivity, r p = 0.06. Simple linear regression was used to examine whether digital technology overuse significantly predicted digital amnesia among young adults in Malaysia.
Discussion
In addition, it shows that overuse of digital technology can affect digital memory loss, as many scientific reasons can lead. The current study found no significant relationship between digital technology overuse and productivity among young adults in Malaysia. One of the current research questions hypothesized a significant relationship between digital technology overuse and the productivity of young adults in Malaysia.
According to Karr-Wisniewski and Lu (2010), excessive use of digital technology was significantly low in individual productivity. Therefore, it may differ from Malaysian young adults define the level of excessive use of digital technology that affects their productivity. Therefore, this may explain that young adults in Malaysia excessive use of digital technology has no bearing on productivity; it may be due to the cultivation of positive habits.
The results of the present study showed that overuse of digital technology significantly predicted digital amnesia, while overuse negatively predicted digital amnesia. The present study's findings showed that overuse of digital technology does not significantly predict low productivity among young adults in Malaysia. Similarly, when young adults in Malaysia excessive use of digital technology may not experience low productivity.
However, the results of young adults in excessive use of digital technology in Malaysia were not significantly predicted and low productivity was inconsistent. One of the most important implications is that it enables the society, especially the youth in Malaysia, to recognize the special link of excessive use of digital technology with amnesia and digital productivity. Furthermore, the present research showed that excessive use of digital technology among young people in Malaysia significantly predicts low digital amnesia.
For example, addiction and dependence due to excessive use of digital technology has affected digital amnesia among young adults in Malaysia. It should therefore reconsider the status of maximum uses of digital technology overuse for this group of young adults where productivity is declining. Hence, it urges all experts to overcome such issues of digital technology overuse among young adults in Malaysia.
In conclusion, previous studies have demonstrated a link between excessive use of digital technology and digital amnesia and productivity. The results of the study could not provide a significant link between excessive use of digital technology and productivity. The current study on digital overuse shows a negative significant predictor of digital amnesia and no significant predictor of productivity.
Overall, this current study has provided insight into the importance that overuse of digital technology will affect digital amnesia.
