• The Journal of Society for e-Business Studies
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• v.18 no.1
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• pp.107-127
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• 2013

The evolution of IT facilitated the communication and knowledge sharing between the social network service (SNS) users. When the more information about SNS users had been posted in SNS site, SNS users had sometimes exposed in the risk of privacy invasion. To remedy this problem, we had introduced the information control mechanisms from the prior studies in data management to the SNS area and empirically validated the effect of these mechanisms in this research. Three information control mechanisms had been elected as access control, reference control and diffusion control. We had conducted a survey to the Facebook users which is the most famous SNS site. 459 data had been gathered and analyzed by PLS algorism. As the results, reference control and diffusion control has significantly increased the trust on SNS providers and decrease the privacy concern. This change could significantly affect on the satisfaction with the SNS site and knowledge sharing intention of SNS users. This study could introduce the new perspective about privacy protection issues in SNS area. Also, the information control mechanisms suggested in this study could contribute to make more robust privacy protection mechanisms in SNS site in practice.

• International Commerce and Information Review
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• v.13 no.3
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• pp.325-351
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• 2011

This paper is focused on problem in the law and system caused by the infringement of medical information and in the law and system indicate the solution. Interests in the medical service are increasing in internet environment as life quality of the people improves because of development in information and medical technology. The current main issues of the legislative system and the law improvement suggestion for telemedicine activation which is related to the ubiquitous health in which the medicine field and IT technology convergence appearance. In particular, South Korea in the privacy-related legislation should be amended. The reason, Medical information record contains a lot of patient's private secrets. Therefore, if privacy protection is not enough this could cause problem violate a patient's privacy. Thus we need consequently the maintenance of the health medical treatment field to suit a telemedicine environment of a law system. Specifically, this law enacted to protect medical treatment information and the technical security services with confidence and stability against security treats are necessary.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.12
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• pp.291-306
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• 2020

Nowadays, Data-Network-AI (DNA)-based intelligent services and applications have become a reality to provide a new dimension of services that improve the quality of life and productivity of businesses. Artificial intelligence (AI) can enhance the value of IoT data (data collected by IoT devices). The internet of things (IoT) promotes the learning and intelligence capability of AI. To extract insights from massive volume IoT data in real-time using deep learning, processing capability needs to happen in the IoT end devices where data is generated. However, deep learning requires a significant number of computational resources that may not be available at the IoT end devices. Such problems have been addressed by transporting bulks of data from the IoT end devices to the cloud datacenters for processing. But transferring IoT big data to the cloud incurs prohibitively high transmission delay and privacy issues which are a major concern. Edge computing, where distributed computing nodes are placed close to the IoT end devices, is a viable solution to meet the high computation and low-latency requirements and to preserve the privacy of users. This paper provides a comprehensive review of the current state of leveraging deep learning within edge computing to unleash the potential of IoT big data generated from IoT end devices. We believe that the revision will have a contribution to the development of DNA-based intelligent services and applications. It describes the different distributed training and inference architectures of deep learning models across multiple nodes of the edge computing platform. It also provides the different privacy-preserving approaches of deep learning on the edge computing environment and the various application domains where deep learning on the network edge can be useful. Finally, it discusses open issues and challenges leveraging deep learning within edge computing.

• Information Systems Review
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• v.25 no.3
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• pp.139-162
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• 2023

With the emergence of new digital technologies into a supply chain, it is essential for companies to incorporate these technologies in managing their supply chains. However, various challenges have been identified in digital supply chain management, especially when it comes to its assessment. There are no universally agreed measurements for the performance of digital supply chain management within the research community so far. This paper explores an option of using user experience as one of possible measurements. Therefore, three different focus-group discussions were held and later analyzed with a qualitative content analysis. The subscription-based video on demand service, Netflix was used as an example in those discussions. Due to the fact that Netflix provides a digital product as a streamline service, user experience is critical for the company. Especially, user experience with a recommender system and related privacy issues have become significant for a company to retain existing customers and attract new customers in many fields. Since the recommender system and related privacy issues are parts of a digital supply chain, user experience can be one of appropriate measurements for digital supply chain management. This study opens a new perspective for research on performance measurements of digital supply chain management.

• Informatization Policy
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• v.30 no.2
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• pp.22-45
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• 2023

In research on the use of AI-based voice assistant services, problems related to the user's trust and privacy protection arising from the experience of service use are constantly being raised. The purpose of this study was to investigate empirically the effects of individual trust in AI and online privacy concerns on the continued use of AI-based voice assistants, specifically the impact of their interaction. In this study, question items were constructed based on previous studies, with an online survey conducted among 405 respondents. The effect of the user's trust in AI and privacy concerns on the adoption and continuous use intention of AI-based voice assistant services was analyzed using the Heckman selection model. As the main findings of the study, first, AI-based voice assistant service usage behavior was positively influenced by factors that promote technology acceptance, such as perceived usefulness, perceived ease of use, and social influence. Second, trust in AI had no statistically significant effect on AI-based voice assistant service usage behavior but had a positive effect on continuous use intention. Third, the privacy concern level was confirmed to have the effect of suppressing continuous use intention through interaction with trust in AI. These research results suggest the need to strengthen user experience through user opinion collection and action to improve trust in technology and alleviate users' concerns about privacy as governance for realizing digital government. When introducing artificial intelligence-based policy services, it is necessary to disclose transparently the scope of application of artificial intelligence technology through a public deliberation process, and the development of a system that can track and evaluate privacy issues ex-post and an algorithm that considers privacy protection is required.

• Journal of Information Processing Systems
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• v.14 no.2
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• pp.346-376
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• 2018

Digital forensics is a vital part of almost every criminal investigation given the amount of information available and the opportunities offered by electronic data to investigate and evidence a crime. However, in criminal justice proceedings, these electronic pieces of evidence are often considered with the utmost suspicion and uncertainty, although, on occasions are justifiable. Presently, the use of scientifically unproven forensic techniques are highly criticized in legal proceedings. Nevertheless, the exceedingly distinct and dynamic characteristics of electronic data, in addition to the current legislation and privacy laws remain as challenging aspects for systematically attesting evidence in a court of law. This article presents a comprehensive study to examine the issues that are considered essential to discuss and resolve, for the proper acceptance of evidence based on scientific grounds. Moreover, the article explains the state of forensics in emerging sub-fields of digital technology such as, cloud computing, social media, and the Internet of Things (IoT), and reviewing the challenges which may complicate the process of systematic validation of electronic evidence. The study further explores various solutions previously proposed, by researchers and academics, regarding their appropriateness based on their experimental evaluation. Additionally, this article suggests open research areas, highlighting many of the issues and problems associated with the empirical evaluation of these solutions for immediate attention by researchers and practitioners. Notably, academics must react to these challenges with appropriate emphasis on methodical verification. Therefore, for this purpose, the issues in the experiential validation of practices currently available are reviewed in this study. The review also discusses the struggle involved in demonstrating the reliability and validity of these approaches with contemporary evaluation methods. Furthermore, the development of best practices, reliable tools and the formulation of formal testing methods for digital forensic techniques are highlighted which could be extremely useful and of immense value to improve the trustworthiness of electronic evidence in legal proceedings.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.1
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• pp.309-317
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• 2015

Recently many companies began to realize their visions for the sustainable growth with the advent of CSV(Creating Shared Values). Michael E. Porter, a Harvard Professor, claims that placing social value creation at the core of business strategy has the potential to uncover big opportunities for individual companies and that shared value can play a significant role in increasing competitive advantages while fostering social prosperity. In consequence, the various researches have illustrated how to get the opportunity for competitive advantages from building a social value proposition into corporate strategy, and considerable studies have been promoted heavily from the managerial perspective. However, due to the lack of capability converging information technology with business strategy, any research effort to identify technological or Internet-related issues and to link the issues to CSV does not exist. With Korean being a Internet leading country, the demands of researches analyzing core technology, information, and service utilizing Internet are rapidly growing. The study aims to find out Internet-related enablers for CSV. This paper describes the concepts and features of CSV, identifies emerging Internet-related issues toward the opportunity for competitive advantage, and then depicts the rigorous research endeavors in the areas of Internet information, technology, and services. As a result, 11 papers presented and selected as the outstanding papers at APIC-IST 2014 handle the issues to be brought together, which include: Wireless and Sensor Network, Image Processing and HCI, Big Data and Business Intelligence, Security & Privacy in Internet, SNS & Communication, Smart-Learning and e-Learning, and Internet Business Strategy. The study finally recommends indispensible terms for substantially vitalizing CSV.

• Journal of Arbitration Studies
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• v.19 no.2
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• pp.49-72
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• 2009

Korea Fair Trade Commission (KFTC), one of the Government agencies, has been preparing a standard model form of Exclusive Contract for Entertainment Management (hereinafter referred to as "Exclusive Contract") to eliminate some types of unfairness that placed entertainers at disadvantage such as forced PR activities or activities without payment, excessive privacy infringement, and exemption of payment after the termination of the exclusive contract. The said Exclusive Contract was drafted by The Korean Commercial Arbitration Board (the "KCAB") in association with the Korean Entertainment Law Society (the "KELS") and KCAB has persistently persuaded Corea Entertainment Management Association (the "CEMA"; mainly actors management) and Korea Entertainment Producers' Association (the "KEPA"; mainly singers management) to adopt the above-mentioned Exclusive Contract, respectively, and especially arbitration clause instead of litigation. After KCAB's tens of meetings and persuasion, they finally decided to accept KCAB's offer and they have submitted the Exclusive Contract drafted by KCAB and KELS to KFTC on April 17, 2009. The arbitration clause drafted by KCAB was already accepted by unfair contract examination division and unfair contract advisory committee and the final standard model contract was supposed to be publicly announced on June 30, 2009 after final examination of unfair contract standing committee, but the announcement has been delayed owing to severe controversies between the concerned parties, such as CEMA, KAU (Korea Artists' Union), KEPA and KSA (Korea Singers' Association) related to delicate issues like contract period and ownership of intellectual properties, etc. But it is expected the announcement will be made very soon by which the contract will include the originally drafted arbitration clause by KCAB. Therefore, it is very timely to examine the various legal issues which can be arisen out of disputes, and arbitration appropriateness with Exclusive Contract of Entertainment Management on this paper.

• Review of Korean Society for Internet Information
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• v.14 no.4
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• pp.63-76
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• 2013

This short report introduces the general background why Brazil conference is being prepared and what topics would be undertaken and what goals are being taken into account. It overviews what differences from traditional telecommunication governance, internet governance has had in its historical development and how such differences had been formed from its technological differences and the regulatory policy shift from common carrier regulation to privatization. Moreover, the fact that open, voluntary, bottom-up, diverse stakeholder's participation had evolved throughout the historical development of the internet, had established the present multistakeholder governance model from technological standardization to addressing scheme policies. ICANN, which has governed internet addressing schemes since the earlier 2000s, had developed address policies including IANA function from Jon Postel and technical community's legacy management system into contract based formation between ICANN and gTLD, ccTLD registries. And it made dispute resolution policies responding to trademark disputes and resolved gTLD monopoly issue by introducing new TLD generation and the separation of registry and registar. However, there had been challenges on the legitimacy of ICANN due to its dependency on the Federal Government of the U.S. particularly in its oversight role over ICANN and IANA contract. WSIS raised up internet governance issues including addressing governance, and set up IGF as a discussion platform for multistakeholders to discuss and share all views on other internet related public policies. IGF's loose and non-binding discussion once frustrated governments and other stakeholders, but more focused discussion and visible outcomes have consolidated its unique role for internet governance discourses. Particularly, IGF addressed many emerging internet related issues like cybersecurity, privacy, net neuratlity, development related issues. WTPF of 2013, after WCIT debate on whether traditional telecommunication regulation could be applied to internet infrastructure, suggested other governance issues such as the transition to ipv6, IXP coordination etc. How to make sure the legitimacy of internet addressing governance and how and where other internet related public policies could be undertaken are fundamental tasks for internet governance. Brazil conference, which has been motivated by the breakdown of trust in internet governance from NSA mass surveillance revealed by Snowden, faces these questions and try to make consensus on principles, institutions and roadmap for internet governance in multistakeholder participation way.

• Journal of Information Technology Services
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• v.15 no.4
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• pp.25-39
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• 2016

The drone is an unmanned aerial vehicle which has no human pilot. Drones can be classified into military drones, commercial drones, and personal drones by usage. Also, drones can be classified from large-sized to nano-sized drone by size and autonomous, remote controlled drone by control type. Especially, military drones can be classified into low-altitude drones, medium-altitude, and high-altitude drones by altitude. Recently, the drone industry is one of the fast growing industries in the world. As drone technologies have become more advanced and cost-effective, Korean government has set its goal to become a top-level country in drone business. However, the government's strict regulation for drone operations is one of the biggest hurdles for the development of the related technologies in Korea and other countries. For example, critical problems for drone delivery can be classified into technical issues and institutional issues. Technical issues include durability, conditional awareness, grasp and release mechanisms, collision avoidance systems, drone operating system. Institutional issues include pilot and operator licensing, privacy rules, noise guidelines, security rules, education for drone police. This study analyzes the trends of the drone industry from the viewpoint of technology and regulation. Also, we define the business areas of drone utilization. Especially, the drone business types or models for public sector are proposed. Drone services or functions promoting public interests need to be aligned with the business reference model of Korean government. To define ten types of drone uses for public sector, we combine the business types of government with the future uses of drones that are proposed by futurists and business analysts. Future uses of drones can be divided into three sectors or services. First, drone services for public or military sectors include early warning systems, emergency services, news reporting, police drones, library drones, healthcare drones, travel drones. Second, drone services for commercial or industrial services include parcel delivery drones, gaming drones, sporting drones, farming and agriculture drones, ranching drones, robotic arm drones. Third, drone services for household sector include smart home drones.