• Asia pacific journal of information systems
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• 제32권4호
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• pp.750-769
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• 2022

Indonesia has the largest potential mobile payment (m-payment) market in Southeast Asia. The government has realised this through Government's National Non-Cash Movement to increase its adoption. This is then followed up by advocating its adoption massively. However, for this movement to be a success, ensuring its continued use is critical. Various studies have attempted to contribute to this issue. Incorporating game elements into the application that brings benefits and satisfaction to its user is envisaged as one of the most feasible ways. This study, therefore, sets out to investigate the effects of gamification on the m-payment application, which drive the intention to continued use by employing the Uses dan Gratification Theory (UGT). A total of 826 m-payment users were gathered to be analysed using Structural Equation Modelling. The results show that utilitarian, hedonic and social gratifications have significant effects on the continuance usage intention of m-payment. Theoretically, this study contributes to the literature by showing that gamification applied in the payment significantly affects the m-payment continuance usage intention. Practically, this research informs the m-payment providers to maintain the gamification elements in their applications to ensure their sustainable use. Limitations and future research directions are also discussed.

• 경영정보학연구
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• 제19권3호
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• pp.91-104
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• 2017

본 연구는 소셜 미디어 이용자들의 상호작용을 통한 제품정보 확산 패턴으로 트위터와 블로그의 특성차이에 따른 영향력을 확인해 보고자 시도되었다. 이에 각 매체에서의 제품정보에 관한 포스팅 수를 이용하여 바스모형을 통해 정보확산패턴을 확인해 보았다. 분석 결과 첫째, 블로그와 트위터 모두에서 실용재에 비해 쾌락재가 정보확산 속도가 빨랐다. 둘째, 제품유형에 관계없이 트위터는 블로그에 비해 모방효과의 영향력이 높게 나타났으며, 블로그는 트위터에 비해 혁신효과의 영향력이 높았다. 이를 통해 블로그는 트위터에 비해 이용자가 본인 스스로 직접적으로 정보를 찾는 경향이 더 높은 경향이 있으며, 트위터는 블로그에 비해 혁신에 대한 주관적 평가보다는 다른 사람으로의 전달된 평가에 더 의존하는 경향이 있음을 시사한다.

• Asia pacific journal of information systems
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• 제33권4호
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• pp.1058-1092
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• 2023

This study investigates the perception and adoption of ChatGPT (a large language model (LLM)-based chatbot created by OpenAI) among Korean users and assesses its potential as the next disruptive innovation. Drawing on previous literature, the study proposes perceived intelligence and perceived anthropomorphism as key differentiating factors of ChatGPT from earlier AI-based chatbots. Four individual motives (i.e., perceived usefulness, ease of use, enjoyment, and trust) and two societal motives (social influence and AI anxiety) were identified as antecedents of ChatGPT acceptance. A survey was conducted within two Korean online communities related to artificial intelligence, the findings of which confirm that ChatGPT is being used for both utilitarian and hedonic purposes, and that perceived usefulness and enjoyment positively impact the behavioral intention to adopt the chatbot. However, unlike prior expectations, perceived ease-of-use was not shown to exert significant influence on behavioral intention. Moreover, trust was not found to be a significant influencer to behavioral intention, and while social influence played a substantial role in adoption intention and perceived usefulness, AI anxiety did not show a significant effect. The study confirmed that perceived intelligence and perceived anthropomorphism are constructs that influence the individual factors that influence behavioral intention to adopt and highlights the need for future research to deconstruct and explore the factors that make ChatGPT "enjoyable" and "easy to use" and to better understand its potential as a disruptive technology. Service developers and LLM providers are advised to design user-centric applications, focus on user-friendliness, acknowledge that building trust takes time, and recognize the role of social influence in adoption.

• 경영정보학연구
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• 제18권2호
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• pp.107-125
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• 2016

모바일 앱 시장이 발달하면서 사용자들이 앱을 사용한 만큼 기부에 참여할 수 있는 새로운 모바일 기부 앱이 등장하였다. 새로운 형태의 모바일 기부 앱은 모바일 앱의 기능과 기부의 시너지 효과를 통해 기부 시장을 활성화할 수 있을 뿐만 아니라 차별화된 모바일 앱 서비스를 제공함으로써 모바일 앱 시장을 확장한다는 점에서 중요한 의의를 지닌다. 그럼에도 불구하고 어떠한 종류의 모바일 기부 앱 서비스가 사용자의 사용 의도를 증대시킬지에 대한 연구는 부족한 실정이다. 본 연구는 공익연계 마케팅 이론을 바탕으로 어떠한 형태의 모바일 기부 앱이 사용 의도에 더 큰 영향을 미치는지를 밝히고자 한다. 이를 위하여 첫째, 직접적 혹은 간접적 모바일 기부 앱이 지각된 효과성과 공익 관여도를 매개로 하여 모바일 기부 앱 사용 의도에 어떠한 영향을 미치는지에 대한 실험을 모바일 앱 사용자들을 대상으로 실시하였다. 분산분석 결과, 간접적 모바일 기부 앱이 직접적 모바일 기부 앱보다 지각된 효과성과 공익 관여도에 더 높은 영향을 미치며 PLS 경로 분석을 통하여 지각된 효과성과 공익 관여도가 높을수록 모바일 기부 앱 사용 의도를 높아진다는 사실을 확인하였다. 추가연구에서는 간접적 모바일 기부 앱의 실용적, 쾌락적 속성이 지각된 효과성과 공익 관여도에 어떠한 영향을 미치는지에 대한 실험을 진행하였다. 그 결과, 실용적 속성이 더 많은 영향을 준다는 사실을 일원분산분석을 통하여 입증하였다. 본 연구의 결과는 모바일 기부 앱 활성화를 위해 실증적인 디자인 가이드라인을 제공해줄 수 있을 것이다.

• 한국ITS학회 논문지
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• 제21권3호
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• pp.53-61
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• 2022

최근 보행의 중요도는 점진적으로 높아지고 있는 상황에도 불구하고 보행활동시간 특성에 대한 분석은 미미한 실정이다. 본 연구에서는 생활시간조사 자료를 활용하여 보행활동시간 특성에 대해 알아보았다. 통행보행과 여가보행으로 구분하여 군집분석과 대응분석을 수행하였으며, 이를 통하여 각 군집별 특성을 파악하였다. 통행보행을 전혀 하지 않는 사람들은 근로자가 주를 이루었으며, 통행보행을 하는 사람들은 가정주부 그룹과 학생 그룹으로 구분할 수 있었다. 학생 그룹의 첨두는 오전에 명확하게 나타나며, 오후 첨두는 분산되어 있었다. 가정주부 그룹의 첨두는 뚜렷하지 않으나, 오후 시간대 보행을 주로 하는 것을 확인할 수 있었다. 여가보행을 전혀 하지 않는 사람들은 근로자가 주를 이루었으며, 여가보행을 주로하는 사람들은 노년 그룹이었다. 노년 그룹의 여가보행 패턴은 15시 전후에 주로 하는 그룹과 15시 전후를 제외한 타시간에 주로 하는 그룹으로 구분될 수 있다. 이러한 보행의 보행활동시간 특성은 향후 보행정책 수립시 기초자료로 활용이 기대된다.

• Asia pacific journal of information systems
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• 제29권4호
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• pp.856-874
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• 2019

The performance of recommender systems (RS) has been measured mainly in terms of accuracy. However, there are other aspects of performance that are difficult to understand in terms of accuracy, such as coverage, serendipity, and satisfaction with recommended results. Moreover, particularly with RSs that suggest multiple items at a time, such as YouTube, user satisfaction with recommended results may vary not only depending on their accuracy, but also on their configuration, content, and design displayed to the user. This is true when classifying an RS as a single RS with one recommended result and as a multiple RS with diverse results. No empirical analysis has been conducted on the influence of the content and distribution of recommendation items on user satisfaction. In this study, we propose a research model representing the content and distribution of recommended items and how they affect user satisfaction with the RS. We focus on RSs that recommend multiple items. We performed an empirical analysis involving 149 YouTube users. The results suggest that user satisfaction with recommended results is significantly affected according to the HHI (Herfindahl-Hirschman Index). In addition, satisfaction significantly increased when the recommended item on the top of the list was the same category in terms of content that users were currently watching. Particularly when the purpose of using RS is hedonic, not utilitarian, the results showed greater satisfaction when the number of views of the recommended items was evenly distributed. However, other characteristics of selected content, such as view count and playback time, had relatively less impact on satisfaction with recommended items. To the best of our knowledge, this study is the first to show that the category concentration of items impacts user satisfaction on websites recommending diverse items in different categories using a content-based filtering system, such as YouTube. In addition, our use of the HHI index, which has been extensively used in economics research, to show the distributional characteristics of recommended items, is also unique. The HHI for categories of recommended items was useful in explaining user satisfaction.

• 한국정보시스템학회지:정보시스템연구
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• 제25권1호
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• pp.1-23
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• 2016

목적 자아일치성(self-congruity)은 "비실용 대상 포지셔닝(Non-utilitarian destination positioning)" 이론에 근거한 것으로,소비자들이 의사결정을 하거나 행동을 할 때 대상(제품, 서비스 등)과 자신의 가치를 일치시키려는 성향을 의미한다. 반면, 기능일치성(functional congruity)은 대상(장소, 제품, 서비스)의 실용적 가치에 자신의 의사결정이나 행동을 일치시키려는 성향을 의미한다. 최근 모바일 기반의 소셜네트워크서비스를 통해 소비자들이 제품이나 서비스에 대한 개인적 경험을 언제 어디서나 공유하게 되면서 온라인 구전을 통한 커뮤니케이션 기회가 많아지고 활발해지고 있다. 한편, 자기해석(self-construal)은 마케팅 및 현대 심리학에서 그동안 많이 다루어져 온 주제이다. 본 연구는 자아일치성 및 기능일치성과 중국 관광객의 긍정적인 온라인 구전 간의 관계와 자기해석의 조절효과를 검증하는 것을 연구 목적으로 한다. 설계/방법론/접근 연구가설을 검증하기 위해 본 연구에서는 32개 문항으로 구성된 설문지를 개발하였고, 모든 항목은 리커트 5점 척도를 사용하였다. 중국 설문조사 전문 웹사이트인 sojump.com에서 한국을 방문한적이 있는 사용자들을 대상으로 설문조사를 실시하였고, 자료분석을 위해 SPSS 20.0과 AMOS 18.0을 사용하였고, 구조방정식과 회귀분석을 이용하여 연구가설을 검증하였다. 전반적인 모형의 적합도, 신뢰도, 타당성 등을 검증하기 위해 확인요인분석을 실시하였고, 동일방법편의(common method bias) 여부도 함께 진단하였다. 결과 연구결과 자아일치성과 기능일치성은 온라인 구전에 긍정적인 효과를 미치는 것으로 나타났다. 그리고 자아일치성이 온라인 구전에 미치는 효과는 독립적인 자기해석 성향이 있는 중국 관광객이 의존적인 자기해석 성향이 있는 중국 관광객보다 더 강하다는 것을 알 수 있었다. 반면, 기능일치성이 온라인 구전에 미치는 효과는 의존적인 자기해석 성향이 있는 중국 관광객이 독립적인 자기해석 성향이 있는 중국 관광객보다 더 강하다는 것을 알 수 있었다.

• Asia pacific journal of information systems
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• 제23권4호
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• pp.1-28
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• 2013

Given that smartphone-based social network services (SNS), such as KakaoStory is now being widely used as a way for people to connect and communicate with each other, this study examines key factors leading to the continued use of SNS. People have been using PC-based SNS, such as Cyworld, for years are now using smartphone-based SNS, such as KakaoStory. KakaoStory developed by KakaoTalk has rapidly grown up as the largest smartphone-based SNS in Korea as smartphone penetration increases. It is more difficult for firms to maintain their current users over time in that alternative SNSs satisfying people's new needs are constantly emerging and evolving. In this sense, one of the most challenging issues for SNS firms is how to retain their current users in the long run. However, there are few empirical studies on this issue. Applying the IS continuance model proposed by Bhattacherjee [2001], this study explores key determinants of users' smartphone-based SNS continuance intention. The model suggests that perceived usefulness and user satisfaction are the key determinants of IS continuance intention. However, the model includes only the utilitarian value that users can obtain through the use of smartphone-based SNS, by considering perceived usefulness. Therefore, the study attempts to extend the IS continuance model by considering hedonic and social values simultaneously. More specifically, we consider subjective norms as social value that are proposed by the theory of reasoned action and the theory of planned behavior. We also consider perceived enjoyment as hedonic value that is emphasized as a key factor influencing users' behavior intention and actual behavior, particularly in the context of hedonic IS use. By considering the three values in our model simultaneously, we could offer a deeper understanding of smartphone-based SNS continuance. That is, this study could offer an explanation of how each value is associated with user satisfaction and SNS continuance intention. The customer value-satisfaction-loyalty model can strengthen the assertion that smartphone-based SNS continuance intention is determined by various different types of customer values, such as utilitarian, hedonic, and social ones. Moreover, the model provides a theoretical basis for the assertion that customer values lead to increased loyalty via customer satisfaction. In this regard, we theorize that SNS continuance intention is influenced by users' various values, namely perceived usefulness, perceived enjoyment, and subjective norms, via user satisfaction. To test the proposed research model and hypotheses, we conducted a partial least squares analysis using a total of 253 data collected on the users of smartphone-based SNS (i.e., KakaoStory). The key findings are as follows: First, it has been found that SNS continuance intention considerably depends on user satisfaction. Second, user satisfaction is determined by confirmation, perceived usefulness, and perceived enjoyment. Third, concerning the effects of the three values on SNS continuance intention, only perceived enjoyment regarded as hedonic value was statistically significant. That is, perceived usefulness considered as utilitarian value and subjective norms considered as social value had no effect on SNS continuance intention. Finally, our results indicate that confirmation increases perceived usefulness, perceived enjoyment, and user satisfaction. The results reconfirm the effectiveness of IS continuance model in predicting smartphone-based SNS continuance intention. Moreover, the results demonstrate that perceived enjoyment reflecting hedonic value is the most important predictor of SNS continuance intention. Therefore, it is imperative for firms to meet SNS users' hedonic value to retain them in the long run. Meanwhile, we could not find any empirical evidence to support the assertion that subjective norms are associated with user satisfaction and SNS continuance intention. The results lead us to conclude that when users have enough direct experience in SNS use, subjective norms have no effect on SNS continuance intention. Discussions and implications of the results are provided.

• Asian-Australasian Journal of Animal Sciences
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• 제25권11호
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• pp.1499-1506
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• 2012

Animal welfare has become a growing concern affecting acceptability of agricultural systems in many countries around the world. An earlier Judeo-Christian interpretation of the Bible (1982) that dominion over animals meant that any degree of exploitation was acceptable has changed for most people to mean that each person has responsibility for animal welfare. This view was evident in some ancient Greek writings and has parallels in Islamic teaching. A minority view of Christians, which is a widespread view of Jains, Buddhists and many Hindus, is that animals should not be used by humans as food or for other purposes. The commonest philosophical positions now, concerning how animals should be treated, are a blend of deontological and utilitarian approaches. Most people think that extremes of poor welfare in animals are unacceptable and that those who keep animals should strive for good welfare. Hence animal welfare science, which allows the evaluation of welfare, has developed rapidly.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권2호
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• pp.611-627
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• 2017

For enhancing the coverage of wireless networks and increasing the spectrum efficiency, small cell networks (SCNs) are considered to be one of the most prospective schemes. Most of the existing literature on resource allocation among non-cooperative small cell base stations (SBSs) has widely drawn close attention and there are only a small number of the cooperative ideas in SCNs. Based on the motivation, we further investigate the cooperative approach, which is formulated as a coalition formation game with power control algorithm (CFG-PC). First, we formulate the downlink sub-channel resource allocation problem in an SCN as a coalition formation game. Pareto order and utilitarian order are applied to form coalitions respectively. Second, to achieve more availability and efficiency power assignment, we expand and solve the power control using particle swarm optimization (PSO). Finally, with our proposed algorithm, each SBS can cooperatively work and eventually converge to a stable SBS partition. As far as the transmit rate of per SBS and the system rate are concerned respectively, simulation results indicate that our proposed CFG-PC has a significant advantage, relative to a classical coalition formation algorithm and the non-cooperative case.