Prof. Petr Hajek
University of Pardubice, Czech Republic
Bio: Petr Hajek is currently a Professor with the Science and Research Centre, Faculty of Economics and Administration, University of Pardubice, Czech Republic. He was also a visiting professor of the University of Czestochowa. He is the author or coauthor of five books and more than 70 articles in leading journals such as the Information Sciences, Decision Support Systems and Knowledge-Based Systems. His current research interests include business decision making, soft computing, text mining and knowledge-based systems. He has served on many international program committees and he is also a member of the editorial board of several international leading journals. He was a recipient of the Rector Award for Scientific Excellence in 2018 and 2019, respectively, and six Best Paper Awards at international scientific conferences.
Abstract:Since Bitcoin is not backed by the government, its value is not determined by economic fundamentals and is rather determined by market supply and demand with quite considerable volatility. Confidence among Bitcoin users is thus likely determined by their attitudes and sentiment regarding Bitcoin. Indeed, recent studies of the determinants of Bitcoin price increasingly highlight the importance of investor sentiment. The talk will compare different approaches used to estimate investor sentiment, including market-based measures, direct survey-based measures, Google Trends, and text-based sentiment. Particular attention will be given to news-based sentiment that have shown great potential in the prediction of Bitcoin price. I will also present how integrating investor sentiment into multivariate prediction models can improve the performance of Bitcoin price prediction models.
Prof. Bambang Leo Handoko
Bina Nusantara University, Indonesia
Bio: Associate Professor Bambang Leo Handoko, academics and practitioners in the field of Auditing. Experience as auditor in public accounting firm, internal auditor for corporations and auditor for securing vital objects of the National Police Headquarters. He is an expert in financial auditing, forensic accounting, information technology auditing and also e-business. He has had many international publications in reputable journals and proceedings with many citation and acknowledgement from international researchers. He had won a lot of research grant from institution and government. Currently work as Subject Content Coordinator Auditing in Accounting Department, Faculty of Economic and Communication, Bina Nusantara University of Indonesia. He also technical committee in many reputable journal publisher and earn Scopus hi Index.
Abstract: Auditors must begin to develop their skills to face industry 4.0. The spread of Covid-19 has further encouraged auditors to conduct remote audits and provides an opportunity to rethink the way audits are conducted. In this study, the researcher wanted to find out how the influence of competence, professionalism, and audit deadlines on the effectiveness of remote audits. This research is quantitative, with data processing using primary data obtained from distributing questionnaires to auditors who work at Public Accounting Firms in Jakarta. Statistical analysis using multiple linear regression, before conducting a feasibility test through validity, reliability and classical assumption tests. The results showed that the variables of competence, professionalism, and audit time limit had a significant effect on the effectiveness of remote auditing.