This paper presents a strategic adoption model for blockchain technology in nuclear nonproliferation by analysing the implementation of legally binding agreements and leveraging results from governmentleading sectors. Blockchain has been emerging as not only a single promising technology but a foundational one which can be combined with diverse sectors. From the national point of view, it is imperative that the government formulates policy for fostering blockchain-related industries, thereby, gaining a competitive advantage at the national level. Accordingly, the Korean government has established the Blockchain Technology Development and Diffusion Strategies in 2018 and 2020, respectively, to verify the technology by supporting pilot projects for apposite industries, such as customs clearance, transhipment of containers, record-keeping of meat processing, and smart contracts. In addition, the strategies announce to support liaison with regulatory sandbox and cooperation between the projects. Internationally, on the other hand, nuclear nonproliferation imposes the duties of verifying that member states under the NPT and the Safeguards Agreement obey the IAEA mandate, “Atoms for Peace and Development”. Similarly, bilateral nuclear cooperation agreements and administrative arrangements specify reporting obligations for the origin and history records of the Trigger List items. Meanwhile, commercial and industrial secrets and other confidential information of any entities involved have to be securely protected. Provided accompanying activities accomplish the integrity of records and mutual transparency, it brings more credibility, and further, the competitiveness of the state’s nuclear industry. In conclusion, the tasks that the Republic of Korea implements as an exemplary country complying with the nuclear nonproliferation regime have many similarities with the pilot projects that have been or are being carried out under national strategies for fostering blockchain technology elsewhere. This implies that the leveraging of the subsets can derive a new competitive model in blockchain adoption that contributes to the competitiveness of the national nuclear industry due to the advanced nuclear regulations.

With the advances in digital and social media technologies, sportswear and athletic shoe brands have provided more technology-based services to their consumers (Do et al., 2015). Accordingly, the importance of direct-to-consumer (DTC) sales has been increased, especially DTC sales through social media and mobile technologies. In the case of Nike, the relative contribution of DTC sales has been increased over the last few years in comparison to the sales to wholesalers while sales to wholesalers are still the primary revenue source (Soni, 2014). Despite the increasing importance of DTC sales, Nike is lagging in the market in terms of the ratio of DTC revenue to total revenue as opposed to its competitors (Soni, 2014). In response, Nike has implemented various DTC initiatives using digital and social media to facilitate demand creation and maintain market dominance (Guard, 2013; Heitner, 2016; Soni, 2014). In an effort to increase the DTC revenues, Nike introduced the new Nike+ app in 2016; however, the new app has been not well received by the public due to some functionality and gamification issues (Welch, 2016). Given the importance of the mobile apps’ forefront role for any sports brand, it is critical to understand what influence the adoption and use of the brand apps in order to increase the user satisfaction level and adoption. Thus, the current study examined factors influencing consumers’ use of a sports brand app using the modified technology acceptance model (Davis et al., 1992; Ha et al., 2015; Kim et al., 2017). Data were collected from 261 Nike+ Run Club app users using convenience sampling method. Of 216 app users, 133 respondents (51%) were female 129 were male (49%). About 64.8% were between the ages of 20 and 39 years and 35.2% were aged over 40 years. All respondents had previous experience with the Nike+ app. The questionnaire included the scales that measure perceived enjoyment, perceived ease of use, perceived usefulness, intention to use, and actual usage frequency as well as personal information. Harman’s single factor test was conducted to examine a possibility of the common method variance (MacKenzie & Podsakoff, 2012). Data were primarily analyzed using partial least squares structural equation modeling (PLS-SEM) and multi-group analysis (PLS-MGA). PLS algorithm procedures were performed to examine the hypothesized relationships in the research model (Ringle et al., 2015). The level of enjoyment had a significant positive effect on perceived ease of use (beta = .58, t = 11.94) while perceived ease of use positively affected perceived usefulness (beta = .58, t = 9.81). Behavioral intention was significantly influenced by perceived enjoyment (beta = .45, t = 7.46), followed by perceived usefulness (beta = .32, t = 3.64), and perceived ease of use (beta = .16, t = 2.07). As expected, behavioral intention positively affected actual behavior (beta = .31, t = 5.90). PLS-MGA was conducted to explore the differences between three age groups; 20s (n = 78), 30s (n = 91) and over 40 (n = 92), in regard to the use of a sports brand app. The relationship between variables was stronger with younger age groups, except the relationship between perceived enjoyment and behavioral intention. The greater the age, the greater the influence of perceived enjoyment on behavioral intention. However, only the path from perceived ease of use to behavioral intention was significantly different between the 20s and above 40 groups. The present study provides evidence supporting the efficacy of the modified TAM for predicting behavioral intention and actual use in the context of a sports brand app. In general, results from the current study suggest that perceived enjoyment is a more powerful predictor than perceived ease of use and perceived usefulness. In this regard, the concept of gamification should be tactically applied when developing and improving a sports brand app in order to create engaging experience with enjoyment (Hofacker et al., 2016; Zichermann & Cunningham, 2011). Also, given that perceived usefulness is greatly influenced by confirmation of expectations, the sports brand app provider should conduct a more thorough market research to understand what is expected by app users and ways to meet their expectations (Yoon & Rolland, 2015). In addition, the current study found some evidences of age-related differences in the adoption and use of a sports brand app (Ha et al., 2015). More detailed results and discussion will be presented at the conference.

전 세계적으로 IT분야에서 클라우드 컴퓨팅에 대한 관심이 높아지고 있으며, 많은 기업들이 조직의 경쟁력 향상을 위해 클라우드 서비스 도입을 고려하고 있다. 클라우드 서비스는 클라우드 컴퓨팅에 기반을 두고 있으며 서비스 유형에 따라 SaaS, PaaS, IaaS로 구분할 수 있다. 본 연구는 실증적 연구를 통해 기술수용모델(TAM: Technology Acceptance Model)을 적용하여 기업의 B2B 클라우드 서비스 이용의도에 미치는 영향을 분석하고자 하는데, 국내에서 클라우드 서비스 중 PaaS를 서비스 기업과 동시에 이를 이용하는 기업이 거의 없으므로, B2B 클라우드 서비스중에서 SaaS와 IaaS를 그 분석 대상으로 하였다. 이를 위해 클라우드 서비스에 대한 지식을 보유한 IT 기업의 의사결정자, IT 기술 지원 담당자 등을 대상으로 설문조사하고 통계적 분석을 실시한 결과, 지각된 유용성, 사회적 영향력, 마케팅 노력 순으로 기업의 클라우드 컴퓨팅 서비스 도입의도에 영향을 미치고 있음을 알 수 있었다. 그리고 분석된 결과를 토대로 클라우드 서비스 유형인 SaaS, IaaS에 따른 조절효과를 검증하였다. 본 연구는 기업 사용자들의 클라우드 서비스 이용의도 분석은 물론 기업 클라우드 서비스 제공자들이 그들의 새로운 서비스 모델 개발 및 마케팅 전략 수립에 있어 의미 있는 도움을 줄 것으로 기대한다.

이 연구는 발명교육에 대한 기술교과 예비교사의 관심도를 분석하여 미래 발명교육을 주도할 예비교사에게 관심도의 단계에 따른 적절한 지원전략을 수립하기 위한 정보를 제공하는 데 목적이 있다. 연구대상은 중등 기술교사를 양성하는 대학교 기술교육 전공 2, 3학년 학생이다. 연구방법은 관심도 채점도구를 활용하여 원점수와 상대적 강도를 구한 뒤 관심도 프로파일을 이용하여 발명교육에 대한 관심도를 분석하였다. 발명교육에 대한 전반적인 관심도는 0단계가 100명 (57.1%)으로 가장 높게 나타났으며, 관심도 프로파일 유형 중 비사용자와 초보적 사용자가 혼합된 특성을 보였다. 개인배경변인에 따른 관심도 분석결과는 첫째, 성별에 따른 관심도의 차이는 남·여 예비교사 모두 0단계에서 최고점을 나타냈으며, 2, 4, 5단계를 제외한 나머지 단계에서는 모두 통계적으로 유의미한 차이를 보였다. 남·여 예비교사 모두 비사용자 프로파일을 나타냈다. 둘째, 대 학교에 따른 관심도의 차이는 0단계에서 최고점을 나타냈으며, 0단계와 6단계에서만 통계적으로 유의미한 차이를 보였다. 한국교원대학교, 충남대학교, 세한대학교는 비사용자 프로파일을 나타냈으며, 경남대학교는 비사용자와 초보적 사용자가 혼합된 특성을 보였다. 셋째, 학년에 따른 관심도 의 차이는 0단계에서 최고점을 나타냈으며, 3단계를 제외한 모든 단계에서는 통계적으로 유의미한 차이를 보였으며, 모두 비사용자 프로파일을 나타냈다. 넷째, 발명교육 관련 수업 수강유무에 따른 관심도의 차이는 0단계에서 최고점을 나타냈으며, 1단계와 3단계를 제외한 모든 단계에서는 통계적으로 유의미한 차이를 보였다. 발명교육 관련 수업의 수강유무에 관계없이 비사용자 프로파일을 나타냈다.

The paper explores determinants of corporate adoption of social media and the role of technology acceptance model in the path. This paper assimilates some components of the technology acceptance dimension and social expectation theories to determine corporate intentions to use social media. Six hundred and forty-eight samples collected from hotel staff in Korea are analyzed using factor analysis, structural equation model techniques and one-way analysis of variance. The results show that corporate needs, social expectations, ease of use and usefulness should be viewed as important antecedents explaining the firm’s behavioral intention to use social media. The study also finds that the ease of use and usefulness of the technology acceptance model have positive directional mediation effects in the path diagram.