• Journal of Environmental Policy
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• v.11 no.3
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• pp.149-170
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• 2012

The United Nations Climate Change Conference, Durban 2011, ended on December 12, 2011, 36 hours over its schedule, delivering the Durban Package, which consisted of, inter alia, the extension of the period for Kyoto Protocol term and the launch of Ad-hoc working Group on the Durban Platform for Enhanced Action. Despite the positive progress made in Durban, the future of post-2012 climate regime still seems cloudy. Before the Durban conference, some of Annex I countries with emissions reduction commitment under the Kyoto Protocol's first commitment period openly declared their intention not to participate in the second one, reducing the effectiveness of Durban agreement. Parties to the conference have a long list of difficult issues disturbing the materialization of the new legal agreement in 2020 such as level of mitigation targets of individual countries and legal nature of their commitment. Given this uncertainty, the Korean government should reinforce its domestic climate policies rather than settling in the fact that it remains as a non-Annex I county party under the Durban Agreement due to the extension of the Kyoto Protocol period. Domestically, it needs to continue to raise the public awareness for rigorous climate policies to transit its economy to low carbon pathway which reduces the country's dependency on fossil fuel in the long term. It is also important to implement cost effective climate policies to cope with domestic resistance and international competitiveness. Internationally, its priority would be working for trust-building in the on-going negotiation meetings to encourage meaningful participation of all parties.

• The Journal of Society for e-Business Studies
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• v.26 no.4
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• pp.95-118
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• 2021

As the AI speaker business has risen significantly in recent years, the potential for numerous uses of AI speakers has gotten a lot of attention. Consumers have created an environment in which they can express and share their experiences with products through various channels, resulting in a large number of reviews that leave consumers with a variety of candid opinions about their experiences, which can be said to be very useful in analyzing consumers' thoughts. Using this review data, this study aimed to examine the factors driving the continued use of AI speakers. Above all, it was determined whether the seven characteristics associated with the intention to adopt AI identified in prior studies appear in consumer reviews. Based on customer review data on Amazon.com, text mining and social network analysis were utilized to examine Amazon eco-products. CONCOR analysis was used to classify words with similar connectivity locations, and Connection centrality analysis was used to classify the factors influencing the continuous use of AI speakers, focusing on the connectivity between words derived by classifying review data into positive and negative reviews. Consumers regarded personality and closeness as the most essential characteristics impacting the continued usage of AI speakers as a result of the favorable review survey. These two parameters had a strong correlation with other variables, and connectedness, in addition to the components established from prior studies, was a significant factor. Furthermore, additional negative review research revealed that recognition failures and compatibility are important problems that deter consumers from utilizing AI speakers. This study will give specific solutions for consumers to continue to utilize Amazon eco products based on the findings of the research.

• The Journal of the Korea Contents Association
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• v.17 no.3
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• pp.654-665
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• 2017

It is major strategy for SMEs to cooperate with other companies or Public Research Institutes(PRIs) as the essential technology is getting more complicated and technological life cycle is getting short. However, It is not easy to perform a proper cooperation with SMEs for PRIs, because they are accustomed to support SMEs in the short run. In addition, previous studies also have mainly focussed on finding determinants of performance as a consequence of temporary cooperation instead of long-term relationships among companies. Therefore this study analyzed which satisfaction is more effective to maintain the long-term cooperative relationship between PRIs and SMEs. As a result, it has found that when SMEs satisfy from quality of input like manpower supports R&D and context of the support program over the output like technological or economical performance, they intend to continue cooperation with PRIs. And this paper shows that the performance has mediated effect rather direct effect on long-term cooperation intention. In light of all the above, to cooperate with SMEs effectively, it will be suggested that PRIs enhance quality of support process and contents instead of quantity of support based on one-time cooperation.

• Asia Marketing Journal
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• v.9 no.3
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• pp.33-73
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• 2007

This paper explores major factors that drive relationship quality and strength in business-to-business transactions. Three major factors, including offering characteristics, managers' interpersonal factors (similarity, expertise), and relational factors (relationship length, cooperation, and dependence), were proposed to affect relationship quality, and indirectly affect relationship strength. In addition, both economic/instrumental dimension (offering characteristics) and affective, relational dimensions (trust and commitment) are also expected to influence relationship strength. In the empirical study which used the textile-dyeing company managers' ratings of local exporters, structural equation modeling presented a well-fit evidence that relationship quality variables and strength are influenced by their proposed antecedents. Specifically, it was found that all characteristics (except relationship length) have direct effect on their relationship quality with local exporters, and indirectly impact on relationship strength which was measured along dimensions of intention to continue the business relationship in the future and the current share of business given to a local exporter. Together with the minor influence that instrumental dimension (offering characteristics) has on relationship strength, this study suggests that the willingness to remain in business relationship or current proportion of business shared is influenced more by affective assessment like relationship quality than by calculative motivation.

• Convergence Security Journal
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• v.24 no.3
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• pp.117-129
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• 2024

With the announcement of Transformer, a new type of architecture, in 2017, there have been many changes in language models. In particular, the development of LLM (Large language model) has enabled generative AI services such as search and chatbot to be utilized in various business areas. However, security issues such as personal information leakage and reliability issues such as hallucination, which generates false information, have raised concerns about the effectiveness of these services. In this study, we aimed to analyze the factors that are increasing the frequency of using generative AI in the workplace despite these concerns. To this end, we derived eight factors that affect the quality of LLM-based generative AI response data and empirically analyzed the impact of these factors on job satisfaction using a valid sample of 195 respondents. The results showed that expertise, accessibility, diversity, and convenience had a significant impact on intention to continue using, security, stability, and reliability had a partially significant impact, and completeness had a negative impact. The purpose of this study is to academically investigate how customer perception of response data quality affects business utilization satisfaction and to provide meaningful practical implications for customer-centered services.

• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.189-217
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• 2023

The metaverse is a virtual world where individuals engage in social, economic, and cultural activities using avatars, which represent an alternate version of oneself within the virtual realm. While the metaverse has garnered global attention recently, research exploring the identity manifested through avatars within the metaverse remains limited. This study investigates the influence of four IT artifact characteristics related to avatar usage in the metaverse-avatar representation, avatar copresence, avatar profiling, and avatar-space interaction-on perceived avatar identity verification. A survey was conducted with 196 experienced users of the Zepeto platform, and hypotheses were tested using structural equation modeling. The analysis results indicate that the use of IT artifacts enabling avatar representation, avatar copresence, and avatar-space interaction has a positive impact on perceived avatar identity verification. This achieved self-verification indirectly influences the satisfaction and subsequent intention to continue using the metaverse. This study contributes to the academic field by empirically verifying the metaverse technological factors that influence the projected identity onto avatars within the metaverse. Furthermore, it is expected to provide effective guidelines for metaverse platform companies in designing and implementing the metaverse.

• Knowledge Management Research
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• v.25 no.3
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• pp.279-299
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• 2024

The socio-cultural and economic activities of users in virtual worlds are increasing, and virtual consumption of purchasing virtual products is expanding. The future growth potential of this virtual consumption market is very high and has the potential to change the existing traditional consumption ecosystem. This study was interested in the phenomenon of virtual consumption in the most rapidly growing gaming virtual world, and based on the consumption values theory and the concept of self-improvement, major factors promoting virtual consumption in the gaming virtual world were derived. Then, the influence of factors on intention to continue virtual consumption was verified. In particular, this study compared and analyzed whether the influence of factors varies depending on demographic groups (age group and gender) and types of virtual products mainly consumed. This study collected data from users who actually experienced virtual consumption in the game virtual world and empirically analyzed the influence of factors promoting virtual consumption and differences by group. Accordingly, it provides implications for knowledge management in terms of establishing a service development strategy in response to the virtual consumption phenomenon in virtual worlds, which will expand further in the future, and revitalizing the convergence economic ecosystem between the virtual and reality economy.

• Asia pacific journal of information systems
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• v.18 no.4
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• pp.27-55
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• 2008

Due to the increasing and intensifying competition in the Internet shopping market, it has been recognized as very important to develop an effective policy and strategy for acquiring loyal customers. For this reason, web site designers need to know if a new Internet shopping mall(ISM) will be accepted. Researchers have been working on identifying factors for explaining and predicting user acceptance of an ISM. Some studies, however, revealed inconsistent findings on the antecedents of user acceptance of a website. Lack of consideration for individual differences in user ability is believed to be one of the key reasons for the mixed findings. The elaboration likelihood model (ELM) and several studies have suggested that individual differences in ability plays an moderating role on the relationship between the antecedents and user acceptance. Despite the critical role of user ability, little research has examined the role of user ability in the Internet shopping mall context. The purpose of this study is to develop a user acceptance model that consider the moderating role of user ability in the context of Internet shopping. This study was initiated to see the ability of the technology acceptance model(TAM) to explain the acceptance of a specific ISM. According to TAM. which is one of the most influential models for explaining user acceptance of IT, an intention to use IT is determined by usefulness and ease of use. Given that interaction between user and website takes place through web interface, the decisions to accept and continue using an ISM depend on these beliefs. However, TAM neglects to consider the fact that many users would not stick to an ISM until they trust it although they may think it useful and easy to use. The importance of trust for user acceptance of ISM has been raised by the relational views. The relational view emphasizes the trust-building process between the user and ISM, and user's trust on the website is a major determinant of user acceptance. The proposed model extends and integrates the TAM and relational views on user acceptance of ISM by incorporating usefulness, ease of use, and trust. User acceptance is defined as a user's intention to reuse a specific ISM. And user ability is introduced into the model as moderating variable. Here, the user ability is defined as a degree of experiences, knowledge and skills regarding Internet shopping sites. The research model proposes that the ease of use, usefulness and trust of ISM are key determinants of user acceptance. In addition, this paper hypothesizes that the effects of the antecedents(i.e., ease of use, usefulness, and trust) on user acceptance may differ among users. In particular, this paper proposes a moderating effect of a user's ability on the relationship between antecedents with user's intention to reuse. The research model with eleven hypotheses was derived and tested through a survey that involved 470 university students. For each research variable, this paper used measurement items recognized for reliability and widely used in previous research. We slightly modified some items proper to the research context. The reliability and validity of the research variables were tested using the Crobnach's alpha and internal consistency reliability (ICR) values, standard factor loadings of the confirmative factor analysis, and average variance extracted (AVE) values. A LISREL method was used to test the suitability of the research model and its relating six hypotheses. Key findings of the results are summarized in the following. First, TAM's two constructs, ease of use and usefulness directly affect user acceptance. In addition, ease of use indirectly influences user acceptance by affecting trust. This implies that users tend to trust a shopping site and visit repeatedly when they perceive a specific ISM easy to use. Accordingly, designing a shopping site that allows users to navigate with heuristic and minimal clicks for finding information and products within the site is important for improving the site's trust and acceptance. Usefulness, however, was not found to influence trust. Second, among the three belief constructs(ease of use, usefulness, and trust), trust was empirically supported as the most important determinants of user acceptance. This implies that users require trustworthiness from an Internet shopping site to be repeat visitors of an ISM. Providing a sense of safety and eliminating the anxiety of online shoppers in relation to privacy, security, delivery, and product returns are critically important conditions for acquiring repeat visitors. Hence, in addition to usefulness and ease of use as in TAM, trust should be a fundamental determinants of user acceptance in the context of internet shopping. Third, the user's ability on using an Internet shopping site played a moderating role. For users with low ability, ease of use was found to be a more important factors in deciding to reuse the shopping mall, whereas usefulness and trust had more effects on users with high ability. Applying the EML theory to these findings, we can suggest that experienced and knowledgeable ISM users tend to elaborate on such usefulness aspects as efficient and effective shopping performance and trust factors as ability, benevolence, integrity, and predictability of a shopping site before they become repeat visitors of the site. In contrast, novice users tend to rely on the low elaborating features, such as the perceived ease of use. The existence of moderating effects suggests the fact that different individuals evaluate an ISM from different perspectives. The expert users are more interested in the outcome of the visit(usefulness) and trustworthiness(trust) than those novice visitors. The latter evaluate the ISM in a more superficial manner focusing on the novelty of the site and on other instrumental beliefs(ease of use). This is consistent with the insights proposed by the Heuristic-Systematic model. According to the Heuristic-Systematic model. a users act on the principle of minimum effort. Thus, the user considers an ISM heuristically, focusing on those aspects that are easy to process and evaluate(ease of use). When the user has sufficient experience and skills, the user will change to systematic processing, where they will evaluate more complex aspects of the site(its usefulness and trustworthiness). This implies that an ISM has to provide a minimum level of ease of use to make it possible for a user to evaluate its usefulness and trustworthiness. Ease of use is a necessary but not sufficient condition for the acceptance and use of an ISM. Overall, the empirical results generally support the proposed model and identify the moderating effect of the effects of user ability. More detailed interpretations and implications of the findings are discussed. The limitations of this study are also discussed to provide directions for future research.

• The Korean Society of Law and Medicine
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• v.24 no.4
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• pp.103-128
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• 2023

According to the current act of Decision-Marking in Life-Sustaining Medicine, the decision to withhold or discontinue life-sustaining treatment is primarily based on the wishes of a patient in the dying process. Decision-making regarding life-sustaining treatment for these patients is made by the patient, if he or she is conscious, directly expressing his/her intention for life-sustaining treatment in writing or verbally or by writing an advance medical directive and physician orders for life-sustaining treatment. It can be exercised. On the other hand, if the patient has not written an advance medical directive or physician orders for life-sustaining treatment, the patient's intention can be confirmed with a statement from the patient's family, or a decision to discontinue life-sustaining treatment can be made with the consent of all members of the patient's family. However, in the case of an unrelated patient who has no family or whose family is unknown, if an advance medical directive or physician orders for life-sustaining treatment are not written before hospitalization and a medical condition prevents the patient from expressing his or her opinion, the patient's will cannot be known and the patient cannot be informed. A situation arises where a decision must be made as to whether to continue or discontinue life-sustaining treatment. This study reviewed discussions and measures for unbefriended patients under the current law in order to suggest policy measures for deciding on life-sustaining treatment in the case of unbefriended patients. First, we looked at the application of the adult guardian system, but although an adult guardian can replace consent for medical treatment that infringes on the body, permission from the family court is required in cases where death may occur as a direct result of medical treatment. It cannot be said to be an appropriate solution for patients in the process of dying. Second, in accordance with Article 14 of the Life-Sustaining Treatment Decision Act, we looked at the deliberation of medical institution ethics committees on decisions to discontinue life-sustaining treatment for patients without family ties.Under the current law, the medical institution ethics committee cannot make decisions on discontinuation of life-sustaining treatment for unbefriended patients, so through revision, matters regarding decisions on discontinuation of life-sustaining treatment for unbefriended patients are reflected in Article 14 of the same Act or separate provisions for unbefriended patients are made. It is necessary to establish and amend new provisions. In addition, the medical institution ethics committee must make a decision on unbefriended patients, but if the medical institution cannot make such a decision, there is a need to revise the law so that the public ethics committee can make decisions, such as discontinuing life-sustaining treatment for unbefriended patients.

• Journal of Intelligence and Information Systems
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• v.27 no.2
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• pp.17-32
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• 2021

Speaker recognition is generally divided into speaker identification and speaker verification. Speaker recognition plays an important function in the automatic voice system, and the importance of speaker recognition technology is becoming more prominent as the recent development of portable devices, voice technology, and audio content fields continue to expand. Previous speaker recognition studies have been conducted with the goal of automatically determining who the speaker is based on voice files and improving accuracy. Speech is an important sociolinguistic subject, and it contains very useful information that reveals the speaker's attitude, conversation intention, and personality, and this can be an important clue to speaker recognition. The final ending used in the speaker's speech determines the type of sentence or has functions and information such as the speaker's intention, psychological attitude, or relationship to the listener. The use of the terminating ending has various probabilities depending on the characteristics of the speaker, so the type and distribution of the terminating ending of a specific unidentified speaker will be helpful in recognizing the speaker. However, there have been few studies that considered speech in the existing text-based speaker recognition, and if speech information is added to the speech signal-based speaker recognition technique, the accuracy of speaker recognition can be further improved. Hence, the purpose of this paper is to propose a novel method using speech style expressed as a sentence-final ending to improve the accuracy of Korean speaker recognition. To this end, a method called sentence sequencing that generates vector values by using the type and frequency of the sentence-final ending appearing in the utterance of a specific person is proposed. To evaluate the performance of the proposed method, learning and performance evaluation were conducted with a actual drama script. The method proposed in this study can be used as a means to improve the performance of Korean speech recognition service.