• The Journal of Information Systems
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• v.33 no.2
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• pp.105-124
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• 2024

Purpose This study aims to propose a blockchain-based platform that can guarantee enhanced trustworthiness in corporate ESG efforts, demanded by global ESG initiatives such as GRI and TCFD. Blockchain technology, recognized for its transparency and data immutability, can contribute to building trust in ESG disclosures, meeting the data transparency verification needs required by these initiatives. This research also explores the use of NFTs representing unique ESG efforts by companies, helping them in organizing and sharing ESG information with investors and consumers. Design/methodology/approach This study utilizes Hyperledger Fabric, a permissioned blockchain known for its enhanced transparency, scalability, and suitability for business transactions, to develop a blockchain platform for managing and disclosing ESG information assets in a trustworthy manner. Furthermore, it introduces the concept of ESG NFTs as a more reliable method for conveying ESG information to stakeholders, where ESG NFTs undergo verification process by third-party authenticators and evaluation by independent evaluators for credibility of ESG disclosure. Findings The use of NFTs, which has been predominantly intended for market trading in public blockchain, offers a credible means of disseminating corporate ESG status and evaluations in a permissioned blockchain, better fit for business transactions. By representing information assets as NFTs, which are tamper-proof and establish clear ownership, the proposed platform enables effective management of ESG-related information assets.

• Asia pacific journal of information systems
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• v.29 no.3
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• pp.359-381
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• 2019

Social networking services (SNSs) have become important and popular tools for not only presenting self-image but also sharing travel information. This study adopted self-image expressions to understand tourists' intentions to share travel information and behavioral changes in SNSs. To enhance understanding tourists' intention and behavior, the current study suggests a research model based on motivations for self-image expression (i.e., creativity, altruism and social relationship). This current study empirically resulted in the importance of users' creativity, altruism and social relationship in SNS, which leads to the intention and behavioral changes to share travel information. In addition, altruism moderated the negative effect of creativity on self-image expression as well as the positive effect of the social relationship on self-image expression. Based on the result of this study, the current study bears some implications in a theoretical and practical context.

• International Journal of Computer Science & Network Security
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• v.24 no.10
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• pp.63-70
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• 2024

This paper is about information technology of creation of mobile (of rapid deployment) security systems of the area perimeter. This system appears to be a complex of models and methods, information, software and hardware means that are interacted with users during decision-making and control of implementation for management solutions. The proposed information technology aimed at improving the protection level for security departments by automating the process of dangers detection for perimeters and decision-making for alarm. The structural model of the system, the model of system's components interaction and the model of identifying the subjects of emergencies threats have been proposed. A method for identifying unauthorized access to the perimeter of the protected object, using the production model of knowledge representation, was created. It is a set of linguistic expressions (such as "IF-THEN") and knowledge matrix. The method of ranking for objects, which are threats of unauthorized access to the perimeter for protected area, has been proposed. Practical value of work consists in the possibility of the use this information technology by perimeter's security systems of various objects. Proposed models are complete and suitable for the hardware and software implementation.

• The Journal of Information Systems
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• v.33 no.3
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• pp.251-286
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• 2024

Purpose The purpose of this study is to identify various consumer groups by analyzing the consumer's DISC behavior type targeting consumers who have used chatbots in online shopping malls. By analyzing the relationship between DISC behavior type, chatbot information delivery method, and chatbot satisfaction, we want to reveal how the information delivery method by chatbots affects consumer satisfaction. Design/methodology/approach This study constructed a research model based on previous studies focusing on chatbot's information delivery method, consumer satisfaction with chatbot, and DISC behavior type. Findings According to the results of the empirical analysis, this study confirmed that there is a privacy concern in the form through the perceived privacy risk derived from the tendency to value privacy. In addition, this study confirmed that the behavior of Internet users involved in providing personal information is caused by perceived benefits that contradict privacy concerns.

• ETRI Journal
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• v.30 no.1
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• pp.21-32
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• 2008

Cognitive radio (CR) has been proposed as an effective technology for flexible use of the radio spectrum. The interference between primary users and CR users, however, becomes a critical problem when they are using adjacent frequency channels with different transmission power levels. In this paper, a robust CR orthogonal frequency division multiplexing (OFDM) architecture, which can effectively suppress interference to nearby primary users and overcome adjacent channel interference (ACI) to the CR user, is proposed. This new approach is characterized by adaptive data repetition for subcarriers under heavy ACI, and adaptive time spreading for subcarriers near the borders of the CR user's spectrum. The data repetition scheme provides extra power gain against the ACI coming from primary users. Time spreading guarantees an acceptable interference level to nearby primary users. By computer simulation, we demonstrate that, under a CR environment, the proposed CR OFDM architecture outperforms conventional OFDM systems in terms of throughput and BER performance.

• The Journal of Information Systems
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• v.24 no.2
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• pp.53-72
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• 2015

Purpose The purpose of this study was to investigate the factors affecting the users' stress and using reluctant intention to use social network service(SNS). This study especially focused on stress of SNSs' user. Because SNS has led to negative effects such as invasion of privacy, addiction and social overload recently. In addition, adverse effects of SNS had caused SNSs' user to feel stress and fatigue. Design/methodology/approach This study developed hypotheses to empirically examine the factors that affect SNS users' stress and using reluctant intention. In order to verify research hypotheses, this study collected data from 362 users who currently use the SNS in Korea. Further, we used the smartPLS analysis. Findings The results of this study are as follows; First, reputation perception, unwanted relation burden, privacy concern, information overload and interaction overload had a significant positive effect on SNS users' stress. But international influence had no significant positive effect on SNS users' stress. Second, SNS users' stress had a significant positive effect on using reluctant intention. The results of this study provides theoretical foundations on the research for dark side of SNS and implies that SNS providers are in need of exerting an effort to minimize the negative aspects.

• Journal of Information Processing Systems
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• v.11 no.2
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• pp.295-309
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• 2015

Beacon scheduling is considered to be one of the most significant challenges for energy-efficient Low-Rate Wireless Personal Area Network (LR-WPAN) multi-hop networks. The emerging new standard, IEEE802.15.4e, contains a distributed beacon scheduling functionality that utilizes a specific bitmap and multi-superframe structure. However, this new standard does not provide a critical recipe for superframe duration (SD) allocation in beacon scheduling. Therefore, in this paper, we first introduce three different SD allocation approaches, LSB first, MSB first, and random. Via experiments we show that IEEE802.15.4e DSME beacon scheduling performs differently for different SD allocation schemes. Based on our experimental results we propose an adaptive SD allocation (ASDA) algorithm. It utilizes a single indicator, a distributed neighboring slot incrementer (DNSI). The experimental results demonstrate that the ASDA has a superior performance over other methods from the viewpoint of resource efficiency.

• Information Systems Review
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• v.11 no.3
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• pp.19-38
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• 2009

This study aims to investigate the effects of playfulness of blog as an intrinsic motivator on online word-of-mouth. For this purpose, we proposed a research model that consists of user participation, interaction, and community trust as mediating factors and tested it empirically using LISREL 8.7 based on the structural equation model. The empirical results showed that playfulness of blog had an impact on trust through user participation and interaction, which in turn affected online word-of-mouth. In conclusion, we discussed both theoretical and practical implications of this research and suggested its limitations.

• The Journal of Information Systems
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• v.19 no.3
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• pp.181-208
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• 2010

As knowledge-based society comes to the fore, sharing knowledge becomes a hot issue. Among various types of knowledge, a significance of software(applications) and contents is a huge in a current society. Moreover, along with appearance of smartphone, for instance iPhone, Application Store(also known as AppStore) utilized as a common gateway for sharing software and contents, brings a big interest for many users and developers. However, prior research to understand users' behavior on AppStore has been a scant. Therefore, the main purpose of this study is to investigate the impact of key smart service environmental factors on AppStore in order to empirically explain users' psychological feelings of intention to use AppStore. Based on a well-known technology adoption model, TAM, the study incorporates three main characteristics(user, society, and service) with six constructs(Innovation, Enjoyment, Subjective Norm, Information Level, Content variety, and Cost), influencing perceived usefulness, which then affects users' intention to use AppStore. Results provide evidence that support the tested hypotheses. The implications of the findings suggest a new theoretical work for future AppStore research and offers suggestions that the researchers and practitioners of AppStore should consider regarding the development of application and contents.

• The Journal of Information Systems
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• v.19 no.3
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• pp.75-103
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• 2010

This study analyzes a model appling value in the mobile learning. We investigate the interaction, ease of use, hedonic value, and utilitarian value considering importance factors in the mobile learning, and the customer values are found to influence the customer satisfaction. We analysis a relationship between these factors and the customer satisfaction, and the relationship between the customer satisfaction and the loyalty. Finally, we research difference among gender of the satisfaction on the mobile learning. To fulfill this purpose, the research model was designed from literature review, and the structural equation modeling technique was used to evaluate hypotheses. The major results of this study are as follows. First, the ease of use, hedonic value, and utilitarian value positively influenced the satisfaction, and the satisfaction had positive influences on the customer loyalty. But the interaction didn't have positive influence on the satisfaction. Second, gender difference was found for some path coefficient. Male user's interaction and ease of use has effect on the satisfaction, and Female user's hedonic value and utilitarian value have influenced the satisfaction. When it consider the market share or the growth potential of the mobile learning industry, the results of this study will provide the useful information to manage mobile learning.