Financial Information Services Research Articles

The New Financial Information Service – Changing the Market of Information Services for the Better?

In pursuit of the 2020 Retail Payments Strategy, the European Commission launched its proposal for a revised payment services regulation package in 2023, together with a proposed regulation on Financial Data Access (FiDA). The FiDA, if adopted, will introduce a new player, the Financial Information Service (FIS), onto the financial services marketplace. Meanwhile, the current Payment Services Directive (PSD2) and the proposed revision already includes an Account Information Service (AIS). The FIS covers a wide range of financial information whereas the AIS only offers payment account information, but an unjustified difference is that the AIS continues to obtain access to data free-of-charge while the FIS must pay for access to data. The proposals therefore create an unlevel playing-field between the services, favouring the AIS. Is this advantage enough to keep the AIS alive after introducing its superior service, the FIS? This article examines this issue, scrutinising the dysfunctionality between the rulesets and their ability to create ‘Open Finance’ as envisaged in the 2020 Retail Payments Strategy. This article concludes that Open Finance would be best achieved by adhering to the Commission’s phrase “same activity, same risk, same rule”, which would require the services to be regulated by the same regulation.

Fintech platforms and information service quality from the perspective of investor cognition

Fintech platforms serve the financial information market as a new player in corporate finance along with traditional analysts, and individual investors' preferences for these two service providers will affect market efficiency. This paper focuses on the financial information service industry in the context of the COVID-19, and discusses the information service quality of financial information service providers (fintech platforms vs. analysts) from the perspective of individual investors' cognition. Based on the theory of organizational information processing, through survey method, it has been found that investors believe that the information service quality of fintech platforms is higher than that of analysts, and is mediated by information planning comprehensiveness. It was also found that economic environment uncertainty moderates the mediating information service providers and information service quality through information planning comprehensiveness. Specifically, in a low economic environment uncertainty (Non-Lockdown Policy), investors believe that financial technology platforms have higher information planning comprehensiveness and higher quality of information services compared to analyst; In a high economic environment uncertainty (Lockdown Policy), the aforementioned impact is weakened. Robustness results indicate that the above main effects remain when considering the sub-sample and investors' Internet search behaviour. In addition, the heterogeneity results indicate that the more economically developed the region, the higher the investors' evaluation of the quality of financial information services. This study promotes the understanding of fintech substitution effect from the perspective of investor perception and reveals the psychological mechanism of individual investors, which provides micro ideas for the governance of fintech platforms for new participants in startups' financing and regional fintech development.

Improvement of DEVA Model in Valuation Research of Internet Financial Information Service Companies

With the development of the digital economy and the internet, the internet financial information service industry has shown strong momentum. Different from traditional enterprises, internet financial information service companies possess characteristics of low assets, high risks, and difficulties in measuring non-financial indicators. As a result, traditional valuation methods exhibit inaccuracies in application and require the introduction of non-financial valuation models for validation. Therefore, considering the industry's characteristics from a user perspective, we introduce the Metcalfe valuation modelthe DEVA valuation model. Simultaneously, we improve this model and, using Hithink Royalflush Information Network Co., Ltd. as a case study, estimate the value at the evaluation point using both the original DEVA model and the revised new model. Finally, we analyze and compare the differences between the various valuations and Royalflush's total market value at the evaluation point, concluding that the improved DEVA model yields more fair and accurate valuation results.

Evaluation of service quality and quality of financial information service system on customer satisfaction

The objectives to be obtained from the results of this research are: 1) To measure and test the influence, both partially and simultaneously, of knowledge of Service Quality and FSA Financial Information Service System(FISS) Information Quality on Customer Satisfaction at the Solo FSA Office. 2) To find out the factors that have the most dominant influence on Customer Satisfaction at the FSA Solo Office. This research was conducted on approximately 100 FSA Solo Office customers in January. Then 50% or 50 customers were taken to be used as samples. The research results found that both partially and simultaneously there was an influence of Service Quality and FSA FISS Information Quality on Customer Satisfaction at the Solo FSA Office. From the two independent variables, it is known that Service Quality has the most dominant influence on Customer Satisfaction at the FSA Solo Office. The overall research concludes that there is a joint positive and significant influence between Service Quality and FSA FISS Information Quality on Customer Satisfaction at the FSA Solo Office.

Analisis Peranan Sistem Layanan Informasi Keuangan (SLIK) dalam Pemberian Kredit Umum (Studi kasus pada PT. Bank Syariah Indonesia KCP Meulaboh Imam Bonjol)

Credit is a business that generates a lot of returns or high returns, but the loan carries a high risk. The reason why loans cannot be repaid is usually because the loan capital is used for other purposes, for example to start a business first, but then the capital is used for other purposes. The purpose of this research is to analyze the Financial Information Service (SLIK) system in lending in general. The research method uses descriptive qualitative and data collection techniques using primary data, namely the source of data obtained from interviews, and direct observation with certain parties. The results of this study are to show how the role of SLIK in the credit granting process. SLIK plays a role in supporting the smooth running of small businesses in lending because an effective information system encourages productivity and can prevent errors and credit that is detrimental to banks because too much wrong information is not healthy. About the role of SLIK (Financial Information Service System) at Bank Syariah Indonesia KCP Meulaboh Imam Bonjol, namely as an aid in the form of an application launched by the Financial Services Authority (OJK) to select prospective debtors and is very useful in selecting prospective debtors, because SLIK provides information on prospective debtors using debt history information that contains complete information for bank decision making.

ANALISIS PENILAIAN KINERJA KEUANGAN PERUSAHAAN TERHADAP KELAYAKAN MENDAPATKAN KREDIT MODAL KERJA

This research aims to determine the performance assessment of prospective debtor companies regarding the feasibility of obtaining working capital credit by BRI KCP Pettarani. Data collection techniques were carried out by conducting interview techniques, documentation techniques and library techniques. The data analysis technique was carried out using qualitative data analysis, namely collecting the data needed in this research, through interviews and documentation. As well as quantitative data analysis using calculations using formulas in analyzing the compa|ny's financial performance and calculating the amount of credit given by the bank.The results of this research are the first benchmark for banks, in this case, checking the SLIK (Financial Information Service System) of prospective debtors. The basis for approval for granting credit is an analysis of financial reports. Reportn Profit and Loss Reportn Balance Sheet of the prospective debtor for the last 3 years as a component of the financial reportngan which is a consideration for the bank. In analyzing the financial reports of potential bank debtors, there are 4 financial ratios, namely Liquidity Ratio, Activity Ratio, Solvency Ratio and Profitability Ratio. The business has been running for at least 2 years and meets the criteria for measurement used by the bank, namely the company's performance which is taken into consideration by the bank in deciding whether or not it is appropriate to grant working capital credit. The principle that influences debtors is the principle of Character. The principle that is indicated as problematic for debtors is the Capital principle. The action taken by Bank to implement the principle of supervision is to carry out an inventory. The bad character of the debtor is an obstacle faced by banks in the credit granting process

Dynamic financial and monetary security risk assessment based on information service security assessment model and blockchain

With the rapid development of blockchain technology, the financial and monetary (FM) blockchain fields also began to collide. Therefore, this study aims to explore the relationship between the two fields and efficiently evaluate the security of financial information. Firstly, this study introduces the theoretical basis of blockchain in the dynamic linkage mechanism of FM and gives the overall framework of digital currency based on blockchain. Meanwhile, the relationship between blockchain and digital finance is empirically analyzed and designed. Secondly, the framework of financial information service security assessment (ISSA) is created using blockchain technology, and the frame of security risk evaluation is verified by taking electronic invoice information as the research object. Finally, the results show that: (1) foreign exchange (forex) events and major stock index decline events have a significant impact on the return of Bitcoin (BTC) in the short term. Moreover, more than 70% of uncertainty events will make BTC’s abnormal return (AR) significantly positive; (2) Under the influence of forex uncertainty events, only one BTC’s AR is remarkably negative in short order, while the other seven times are markedly positive. In the uncertainty events of major stock indexes, only two times are significantly negative, and the other six times are positive. This indicates that uncertain events in the short run make prominent AR of BTC; the proposed blockchain-based ISSA model and assessment index are scientific, feasible, and operable.

The Effect of Using Financial Information Service System (SLIK) on Bad Credit Rate in Fintech Peer to Peer Lending

The development of Fintech Peer to Peer Lending (P2P Lending) in Indonesia is very rapid in supporting increased financial inclusion. Along with the increase in the value of loans disbursed through P2P Lending, the ratio of bad loans or what is often referred to as Non Performing Loans (NPL) also continues to increase. Literature review article "Can the Use of a Financial Information Service System (SLIK) Affect the Level of Bad Credit in Fintech Peer to Peer Lending?" is a scientific article that aims to build a research hypothesis on how one variable influences other variables. The method used in writing this literature review article uses the library research method. The sources used as material for research are through available data from the website of the Otoritas Jasa Keuangan (OJK) & Asosiasi Fintech Pendanaan Bersama Indonesia (AFPI), academic online media, Google Scholar, Mendeley, and other online media. The results of this study provide information that can be used in efforts to minimize the occurrence of an increase in credit risk (NPL) in the P2P Lending industry, namely by taking preventive steps by making an effective creditworthiness assessment to prospective loan recipients through analysis of credit information data obtained from Sistem Layanan Informasi Keuangan (SLIK). Therefore, as an effort to restrain the rate of increase in the number of bad loans in the P2P Lending industry, a tool is needed to carry out an effective credit scoring (credit scoring) by integrating P2P Lending credit loan data into SLIK so that more credit data of prospective loan recipients can be obtained. comprehensive. More comprehensive data can provide more accurate results on credit scoring, and have a positive impact on loan repayment rates.

Analysis and Proposals on the Poverty Reduction Effect of Inclusive Finance in China's Counties

Poverty has long been an important issue in China's development, and the disparity between rich and poor in many families is obvious, which hinders the development process of China's economy and the stability of social development. Although China has implemented numerous poverty alleviation measures, poverty still plagues the daily lives of many families and hinders social progress, with a particular concentration of poor families in counties. The current policy of precise poverty alleviation and poverty alleviation is driven by county financial reform and innovation, while a variety of measures have been taken to rely on the financial industry to solve the problem of poverty in counties has become the current guiding direction for policy formulation and social development. Inclusive finance refers to a financial service system that will provide services to all segments of society (especially poor households) in a reasonable and diversified manner according to market standards so that all segments of society can benefit from financial information services. Therefore, county government departments should give full play to the poverty reduction role of inclusive finance, increase investment in education, optimize industrial structure, promote economic growth, reasonably allocate fiscal expenditure, optimize financial infrastructure construction in rural areas, alleviate relative poverty and interrupt return to poverty, fully implement rural revitalization, and thus achieve the great rejuvenation of the Chinese nation.

ANALISA TERHADAP PENGGUNA APLIKASI SHOPEE YANG MENGALAMI KETERLAMBATAN PEMBAYARAN SPAYLATER

SPaylater is a feature in shopee e-commerce that is used as a payment method that provides loans for its users, to make transactions on e-commerce in the shopee application. The use of the SPayLater feature imposes terms and conditions that must be met. However, users often ignore these terms and conditions, resulting in legal consequences. The problems studied are: (1), what are the factors that cause delays in payment of SPayLater users to consumers?, (2) What is the impact of late payments of SPayLater on the shopee application?, (3) What are the responsibilities of the parties?. The problem approach used in this research is normative juridical which uses the law or law approach method that exists in library data or secondary data. Based on the results of the study, it can be seen that the legal arrangement that regulates SPayLater in e-commerce shopee is the Agreement as regulated in Article 1313 of the Civil Code. The impact if the shopee e-commerce user delays the payment, namely the user's shopee account will be frozen by the Shopee and the user's personal data is then recorded in the financial information service system which can prevent users from getting financing from the bank as well as other companies. Â Keywords: Cause Factor, Delay, Impact of SPayLater.

Predicting Household Resilience Before and During Pandemic with Classifier Algorithms

One of the lessons learned from the global financial crisis in 2008 was raising attention to monitoring and maintaining household vulnerability, particularly household credit risk, by using the default rate as the indicator. The indicator would be worsening at the economic recession, likewise, recently happened caused by the pandemic. The default event has a complex nonlinearity relationship among the determinants. To tackle the complex relationship, this study suggests exploiting machine learning approach in modeling the probability of default, especially the individual and ensemble classifiers. Therefore, this study aims to investigate changes of the Indonesian household financial resilience before and during the pandemic, supported by the individual-level data of the Financial Information Service System. This study finds that the ensemble classifiers, notably extreme gradient boosting, have a more predominant performance than the individual classifiers. The best model, then has the feature importance analysis to identify the variable pattern in explaining the default event periodically which reveals the pattern changes before and during the pandemic. The cost of debt/repayment capability and the policy mix is significant in explaining the default event. At the same time, the project location feature weakens in discriminating the target class.

Administrative and legal regulation of the provision of financial services in Ukraine: a comparative aspect

The formation of an appropriate mechanism of administrative and legal regulation of services in the field of financing was carried out at each stage of its development by annually expanding the theoretical (legislative and doctrinal-scientific) and practical basis, providing greater opportunities for consumers to exercise their rights to prompt and prompt service. To date, the topic studied by the authors is one of the most developed in Ukraine. The article analyzes the possibility of formulating a quality mechanism of administrative and legal regulation of financial services in Ukraine through the prism of European integration processes and preventive measures. An extensive analysis of the current financial system of Ukraine is given. The administrative-legal, informational and anti-corruption components of the regulation of financial services are highlighted. It was also found that an important new form of incentive funding for the regions were competitions for budget subventions for the achievement of achievements, rather than their absolute level, which allows them to participate effectively in depressed regions. The strategy of development of the Ukrainian financial market is aimed at its transformation into the main mechanism for attracting investment by Ukrainian companies, creating conditions for effective investment of private and pension savings. The authors revealed the steps and stages of establishing the procedure for providing financial services in terms of such an integral principle of the modern formation of the process of providing services in Ukraine as the principle of service. As a result of the study, in addition to the classic administrative component of financial services, information and anti-corruption services were singled out. The general and special jurisdiction for committing offenses in the field of regulation of financial services at the level of bylaws of Ukraine is analyzed.

Akibat Hukum dari Keterlambatan Pembayaran Spaylater bagi Pengguna E-Commerce Shopee

Spaylater is a feature in Shopee's E-Commerce that is used as a payment method that provides loan funds for its users to make transactions on Shopee's E-Commerce. In using the spaylater feature, terms and conditions must be met. However, users often ignore these terms and conditions, resulting in legal consequences. Based on this phenomenon, this study reviews the legal arrangements regarding spammers in Shopee's E-Commerce and reveals the legal consequences that arise if Shopee's E-Commerce users delay in paying the spamer. The type of research used in this research is normative legal research through statutory and conceptual approaches, the data used are primary and secondary legal materials obtained through library research techniques. Furthermore, the data that has been collected is processed and analyzed descriptively qualitatively. The results of the study indicate that the legal arrangement that regulates the spaylater in Shopee's E-Commerce is the Agreement as regulated in Article 1313 of the Civil Code. The legal consequences that arise if a Shopee E-Commerce user delays the payment, namely the user's Shopee account will be frozen by Shopee, the user will receive consequences in the form of field billing and the user's personal data is then recorded in the financial information service system which can prevent users from getting financing from Banks and other companies.

Age, gender, and financial literacy in Japan.

ObjectiveThe aim of this study is to investigate the association between financial literacy and age as well as gender differences in financial literacy.MethodsWe analyse a sample of 25,000 individuals from ‘The Financial Literacy Survey 2016’ conducted by the Central Council for Financial Services Information (Bank of Japan). The analysis focuses on the relationship of age and financial literacy as well as that of age and self-rated financial knowledge. To consider factors accounting for gender differences in financial literacy, we use the Blinder-Oaxaca decomposition method. To further our understanding of financial literacy, we conduct additional analyses on financial behaviour and attitude.ResultsAlthough age is associated with increased financial literacy (Men, β: 0.249, standard error [SE]: 0.030; Women, 0.354, SE: 0.026), the growth rate decreases among the older respondents (Men, β: -0.002, SE: 0.000; Women, -0.003, SE: 0.000). However, the association between age and self-rated financial knowledge among men moves in the opposite direction (Age, β: -0.021, SE: 0.009, Age2, β: 0.000, SE: 0.000). Furthermore, female respondents are likely to be less financially literate than their male counterparts (β: -0.586, SE: 0.095) due to gender differences in the distribution of the factors that affect financial literacy (specifically education), their responses to financial literacy, and the interactions of these effects. In contrast to knowledge-based financial literacy, financial behaviour and attitudes among women are more preferable to those among men, namely, more premeditated.ConclusionFinancial literacy increases until about one’s early 60s, after which it declines, while confidence in financial literacy reflects the inverse trend, especially among men. Additionally, men are more financially literate than women; however, these differences could be mitigated through education. Meanwhile, financial behaviour and attitudes among men are less premeditated. Thus, policies are needed that can help older adults with their financial decision-making, enhance women’s financial literacy, and improve men’s financial behaviours and attitudes.

Local response to global crisis – the effect of COVID-19 pandemic on SMEs and government export assistance programs in Central California

This study focuses on the effectiveness of export assistance programs (EAPs) perceived by the SMEs in Central California before and during the Covid-19 pandemic. Through the survey data and semi-structured interviews conducted with representatives from community banks and related government agencies, we find that EAPs were perceived less effective in financial support, information services, export facilitating, and education and training-related programs during the pandemic. Meanwhile, SMEs engaged in international trade more actively sought government assistance benefits, including the Paycheck Protection Program and Economic Injury Disaster Loan during the pandemic, besides EAPs such as Export Credit Insurance.

PENGARUH KUALITAS KREDIT YANG DIKLASIFIKASIKAN TIDAK PRODUKTIF SEKTOR KONSTRUKSI TERHADAP TINGKAT KESEHATAN KREDIT PADA BANK JABAR BANTEN CABANG BEKASI

Banks as financial institutions whose activities include collecting funds from the public in the form of deposits such as savings , deposits , demand deposits and other forms of savings and channel them back to the community in order to improve the living standard of the people in the form of loans / credit . Bank may also be regarded as an institution that won the trust of the public , so the public trust must be maintained , then the bank must satisfy the clients as much as possible in carrying out its activities both in service , fund raising and distribution , financial information and other services in the field . Bank Jabar Banten as banking and business institutions as one of the fittings has a mission and local autonomy as a function of (a) Driving and driving the pace of development in the area , (b) Holders of Local Cash and / or implementing storage area is money, (c) One Local revenue sources . Based on the mission and functions carried the Bank Jabar Banten, in order to participate in promoting the pace of development continues, Bank Jabar Banten loans / credits to employers, employees, the propesi, and others

Exploring Regulatory Coordinates for Data Fiduciaries in the Era of Open Banking

開放銀行浪潮有助於提升消費者的資料自主，推動金融體系的競爭與創新，進而實現消費者資料賦權的願景。然而，實現此願景仍有待解的核心問題：亦即究須具備如何之條件，一個組織方能成為經消費者授權而向銀行取得資料的適格者？申言之，政府究應如何看待與監理開放銀行脈絡下的第三方業者？本文主張，開放銀行下的第三方業者，本質上係取得消費者對其處理自身資料的信任，因此可將之視為「資料受信者」。本文從產業生態圈及組織定性兩大維度，將資料受信者可能的監理座標加以類型化成三種型態：銀行生態圈的受託者或合作者、金融生態圈的金融資訊服務業者，以及數位經濟生態圈的特許資料接受事業，並嘗試針對我國提出一個兩階段式的修法策略路徑，盼能引發產官學界就此議題的深入對話。<br />The wave of open banking holds great potential to enhance consumer data autonomy, promote competition and innovation in the financial system, and give rise to consumer data empowerment. However, the realization of such a vision depends on the solution of a difficult regulatory issue: the criteria for a third-party provider that is permitted to access data from banks upon the consent and request of consumers. This in fact begs the fundamental question of how a government should treat and regulate third-party providers in the context of open banking. This article argues that the third-party providers can be understood as“data fiduciaries”in that they are entrusted by the consumer to process and provide extra value to their data. This article further explores and proposes three possible regulatory coordinates for data fiduciaries based on two dimensions: ecosystem boundary and institutional attribute. Specifically, the three types of regulatory coordinates are fiduciaries and cooperators in the banking ecosystem, special financial information service providers in the financial ecosystem, and chartered data recipients in the digital economy ecosystem. This article also proposes a two-stage legal/policymaking strategic pathway for Taiwan with the hope to develop a more delicate conversation between regulators, industries and the academia.<br />

The Impact of COVID-19 on the Financial Performance of Bank Dhofar

Purpose: The aims of this research was to identify how COVID-19 had affected the financial performance of Bank Dhofar, to analyze the financial performance indicators, to evaluate how did Bank Dhofar react to the changes and to evaluate whether Bank Dhofar had taken right action take to mitigate potential financial performance damages. Design/methodology/approach: This research follows a descriptive analytics research method. The primary data was collected using a questionnaire. Samples were selected based on random sampling technique. 30 samples were collected from those who were related to and involved in the audit and accounting of the financial information services of Bank Dhofar. Once the data was collected, the analysis was done using Microsoft Excel. Findings: Based on the financial reports, COVID-19 has negatively impacted the profit generated of Bank Dhofar and also negatively impacted the Net Interest Margin (NIM). Bank Dhofar had also taken necessary precautionary measures against COVID-19 such as reserves and provisions. Research limitations/implications: Based on the results, it was recommended that the Bank focuses on the digitized platform for an even more efficient mean of working remotely and focus on employee morale, as these factors may negatively impact financial performance. Social Implications : This research would add collective knowledge on how COVID-19 affected the nation and could influence decision makers, rules and regulations. Originality / Value: No research was found regarding the financial performance of a bank in Oman during COVID-19. This research was an attempt to tackle the situation and thrown light.

Research on the Development of Blockchain in Supply Chain

At the present stage, China’s economy is at a critical stage of transformation and development, and supply chain finance has also entered a deep stage of development. In order to promote supply chain finance to get rid of hollowing out and other traps, it is necessary to improve the way of financial information service. Some characteristics of blockchain technology are consistent with the development of supply chain finance, which can improve the industry’s ability to control risks related to supply chain finance to a certain extent, and make supply chain finance better serve the real economy.On the basis of previous basic research, this paper creatively puts forward how to use blockchain to solve the problems existing in supply chain finance, and discusses in detail the obstacles to the popularization of blockchain technology in the field of supply chain finance, thus providing some schemes for realizing the application of blockchain in the field of supply chain finance.

Preface

After successfully held for two consecutive year, 2020 3rd International Symposium on Big Data and Applied Statistics(ISBDAS2020) continued to be held on July 11. This time we held an online conference due to the pandemic COVID-19. The health and safety of our participants and members of our research community is of top priority to the ISBDAS2020 Organizing Committee. The primary goal of the conference is to promote research and developmental activities in Economic Management and Informatics and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world.There are 113 people attended this on-line conference, who are from India, Iraq, Ambav, Slovakia, Ohio, USA, China and more countries and districts. The conference including keynote presentations and online discussion. In the first part, each keynote speakers were allocated 30 minutes to present their talks via Zoom. After the keynote talks, all participants joined in a WeChat communication group to discuss more about the talks and presentations. We are honored to have Prof.Wei Wei from Xi’an University of Technology as our Conference chair. Then we have Prof.Xuebin Chen from North China University of Science and Technology and GM.Chonggang Li from Beijing Jinxin Wangyin Financial Information Service co., LTD to serve as the Conference Committee Chair. The rest of the committee is formed by over ten experts and scholars from all over the world. In the keynote presentations part, Prof. Xuebin Chen shared his research on Network and Data Security. Prof.Wei Wei from Xi’an University of Technology, talked about the research on AI Bigdata processing. GM.Chonggang Li who worked at Beijing Jinxin Wangyin Financial Information Service co., LTD shared his experience in presiding over the development of the first big data prevention and control financial risk and intelligent decision support system in China. Their speeches inspired the participants and had lively discussion in the second session of the conference. The discussion lasted for about 30 minutes through the WeChat group. Every participant praised this conference for disseminating useful and insightful knowledge.ISBDAS2020 is to bring together innovative academics and industrial experts in the field of Big Data and Applied Statistics to a common forum. Therefore, we compiled a lot of excellent papers featuring the latest advanced studies on the following topics: Big Data, Mathematics, Computer Science, and other related topics. All the papers have been through rigorous review and process to meet the requirements of International publication standard.We would like to express our sincere gratitude to the chairman, the keynote speakers and all audiences, who jointly make this conference a great success. We hope this conference can be held every year to make it an ideal platform for people to share views and experiences in Big Data and Applied Statistics and related areas. We are expecting you and more experts and scholars around the globe to join this international event next year.The Committee of ISBDAS2020 Committee member Conference Chairman, Conference Committee chair, Organizing Committee and International Technical Program Committees are available in this pdf.