Academic procrastination is fairly and commonly found among college students. The lack of understanding in making the best use of computer technology may lead to anxiety in terms of operating computer hence cause postponement in completing course assignments related to computer operation. On the other hand, failure in achieving certain academic targets as expected by parents and/or the students themselves also makes students less focused and leads to tendency of postponing many completions of course assignments. The aim of this research is to investigate contribution of anxiety in operating computer and academic stress toward procrastination on students. As much as 65 students majoring in psychology became participants in this study. The results showed that anxiety in operating computer and academic stress play significant role in influencing academic procrastination among social sciences students. In terms of academic procrastination tendencies, anxiety in operating computer and academic stress, male students have higher percentage than female students.

Previous studies showed that a number of factors play roles in influencing Bitcoin penetration and acceptance, both at country and individual level, such as trust, perceived risk, security threat, perceived benefit, perceived ease of use, as well as macro-technological and socioeconomic factors. This present study aimed at finding theoretical models at the macro- and microlevels that are able to explain the penetration and acceptance. Study 1 examined hypotheses on the predictive relationship between national cultural orientation and Bitcoin penetration involving 60 countries. Study 2, using a construal level perspective, tested the predictive strength of psychological distances against Bitcoin acceptance, involving 565 Indonesians ( M_age = 28.88 years, SD_age = 12.482 years). The results showed that national culture of individualism, uncertainty avoidance, and long-term orientation are able to predict the penetration. Spatial/physical distance, social distance, and hypothetical distance are able to predict the acceptance. This research is pivotal in obtaining the fundamental factors of community vulnerability in accepting and endorsing new e-money, i.e. Bitcoin. Monetary policy is expected to consider cultural and psychological factors in intervening against economic–technological disruptive innovations developing among societies.

Impulsive buying, cultural values dimensions, and symbolic meaning of money: A study on college students in Indonesia's capital city and its surrounding

As one of the biggest technology breakthrough, Internet of Things (IoT) has been gaining much attention in every industry it’s involved in. Especially in the healthcare sector, IoT health devices have been proved to have a great impact on individual’s health regulation. Through many beneficial features from tracking sleep patterns to tracking chemicals in the blood, individuals will gain a better understanding of their body and how to keep it healthy. However, great benefit is one thing, and it does not immediately equal users’ acceptance. In this study, we seek to find elements that we propose to have an impact in predicting user’s intention of using IoT health device and integrate them into a model. We will analyze user’s technology acceptance from the perspective of Technology Acceptance Model, using Perceived Usefulness as the main predictor for Behavioral Intention. We also integrate Personality Traits and Facilitated Appropriation as factors to determine Perceived Usefulness, and finally using Hofstede’s Cultural Value, we seek to determine the antecedent of Facilitated Appropriation. The research design was correlational predictive, with path analysis technique. Participants of this study were 186 college students from IT campus (75 males, 111 females; mean of age = 20.86 years of old, standard deviation of age = 2.01 years) across Greater Jakarta. The results showed that Perceived Usefulness can predict intention to use the device. However, Personality Traits were found to be irrelevant in predicting perceived usefulness. Only Facilitated Appropriation could predict perceived usefulness. Among cultural values proposed, only the Long-term Orientation can predict user’s tendency to engage in Facilitated Appropriation. Also, we did not find any correlation between age and all technology acceptance factors (Behavioral Intention, Perceived Usefulness, and Facilitated Appropriation).