Abstract This paper empirically identifies the attitude‐behaviour gap phenomenon, which has been witnessed frequently in environmentally friendly products, by suggesting a general and flexible Bayesian multivariate model applying it to survey data. Since cognitive, affective conative stages, are closely related gap, successive stages consumer decision‐making process, these must be considered simultaneously empirical analysis. For this reason, recursive probit is proposed. According analysis,...

The main objective of this paper is to identify and analyze the key drivers behind changes CO2 emissions in residential sectors emerging economies, China India. For analysis, we investigate what extent are due energy coefficients, consumption structure, intensity, household income, population size. We decompose India into these five contributing factors from 1990 2011 by applying Logarithmic Mean Divisia Index (LMDI) method. Our results show that increase per capita income level was biggest...

Over-the-top (OTT) firms must overcome the hurdle of competitive Korean media market to achieve sustainable growth. To do so, understating how users enjoy OTT and analyzing usage patterns is essential. This research aims empirically identify a profitable niche in by applying segmentation theory. In addition, it investigates an effective content strategy convert free into paying customers belonging segments. The latent class regression model was applied Media Panel Survey data divide...

This paper aims to empirically investigate consumers’ preference structures and their willingness pay for key features of future residential electric power services that they have not experienced in the regulated market. Using a choice experiment based on conjoint survey applying mixed logit model, we quantitatively estimate individual utility functions certain important attributes such as type service-providing company, installation smart meter devices, introduction E-prosumer groups,...

This study examines the dynamic interplay between platform providers and complementors in context of digital ecosystems, focusing on complementary factors affordance, autonomy, super-modularity. Using national survey data from Korean industry, applied multivariate ordered probit k-mode clustering models to analyze what determines these how are interrelated perspective complementors, respectively. The results indicate that with open APIs promote but providing an SDK inhibits affordance. In...

The market share of electric vehicles is growing and the interest in these rapidly increasing industrialized countries. In light circumstances, this study provides an integrated policy-making package, which includes key features for vehicle diffusion its impact on Korean power market. This research based a quantitative analysis with following steps: (1) it analyzes drivers’ preferences or traditional internal combustion engine (ICE) respect to automobile attributes indicate what policy...

The purpose of this study is to show the impact R&D and marketing integration on new product development (NPD) success without any parametric assumptions model specification. In high-tech innovation management context, it has generally been accepted that tight between successfully influences an innovative by stimulating a mutual understanding people from different departments. However, few researchers also pointed out too close relationship personnel can cause important information be...

Consumer decision-making within a specific product category can take many forms. This study investigates the individual-specific transferal processes in new adoption through cognitive, affective, and conative stages. We propose general flexible Bayesian multivariate regression model fit to survey data on dedicated E-book reader adoption. The results show that—among six possible transition paths—all paths are feasible for process, except → cognitive affective path. In terms of market share,...

This study analyses the impact of information and communication technology (ICT)-driven product process innovation on productivity economic output growth at sectoral level in Korea. A traditional accounting framework is applied with a quality-adjusted price index ICT capital intermediate goods. In analysis, ICT-driven weakens over time both manufacturing service sectors. largely influences producing sector, national has benefited from almost four times as much during 2000–2012.

On the path to carbon neutrality by 2050, expansion and improvement of high-voltage power transmission lines (HV-PTL) is a critical unavoidable energy issue that may become potential source public conflict. However, discussion on this in South Korea has been insufficient. In study, we analyzed attitudes toward HV-PTLs classified people into subgroups based their common characteristics using latent class models. addition, used contingent valuation method estimate public's willingness pay...

This study uses data from the Korea business activity survey panel 2008 to 2016 examine effects on sustainable growth of firms that initially adopted Information Technology (IT) applications during 2010 2012 compared those did not. The are examined for four years after adoption and divided into areas such as sales, labor productivity, profitability, increases in male female employment, wages, exports. Because IT known vary greatly depending industry, manufacturing industry is traditional,...

In the recent business environment where digital transformation makes a value across industries, fashion industry also witnessed variety of cases which leveraged cutting-edge ICT technologies to increase effectiveness production and maximize customer experience. But, in real world, vast majority companies had trouble achieving successful transformation. this background, paper aims identifying factors influencing using AHP model. Furthermore, study evaluate relative importance two different...

In this paper, we analyze effects of overlapping policy support. Specifically, examine two Korean policies related to innovative SMEs, Venture certification and Inno-Biz certification, which have similar goals, targets benefits. Methodologically, use the difference in method with propensity score matching reduce selection bias that can occur impact assessment studies. Our results show case homogeneous policies, complementarity effect is negative. That is, simultaneously supporting these...

본 연구는 국내 ICT 유관기관에서 발간한 보고서·간행물 자료에 대하여 텍스트마이닝 분석을 적용하여, 최근 10년 동안의 ICT융합 이슈를 분석하였다. 지금까지 텍스트마이닝을 적용한 신기술 이슈분석은 주로 논문이나 특허를 활용하여 수행되었는데, 이러한 자료는 기술 개발로부터 자료가 산출되기까지 상당한 시간이 소요된다는 문제가 있다. 특허는 기술개발이 완료된 후 실용화/상용화 단계에서 출원·등록 하는 것이고, 학술지 역시 연구를 수행하고 논문을 작성한 심사를 거쳐 등재되는 것이기에 자료 산출까지 많은 소요된다. 따라서 자료를 이용한 분석은 특정 분야의 유망기술이슈 탐색과 같이 자료의 적시성이 요구되는 분석에서는 성능이 제한적일 수밖에 없다. 따라서, 국내외 ICT산업 전반에서 비정형자료를 수집하여 데이터베이스화한 ITFIND 포털 내에 존재하는 보고서 텍스트 수행하고, 정책적 함의를 도출하였다. 구체적으로, 내 카테고리의 보고서들을 연구에서는 단어 빈도에 기반한 기초적인 분석과...

In knowledge based society, information technology (IT) has been playing a key role in economic growth. recent years, it is surprisingly notable that the source of value creation moved from hardware to software IT industry. Especially, among many kinds products, potential open was realized by government agencies. Open means codes made voluntary and participation worldwide developers, policies promote activities were implemented for purpose fast growth But cases, especially Korea, promoting...

전자정부 서비스 중 지능형 CCTV 관제 플랫폼은 인공지능을 활용하여 사람, 자동차 등 주요 객체가 CCTV상에 나 타났을 경우, 관제요원에게 표출해 주는 선별 서비스이다. 플랫폼을 운영할 경우 비상 상황 발생 시 신속한 대처가 가능하고 민원 해결 증가로 시민들의 삶의 질 제고가 가능할 것으로 기대를 모으고 있다. 이에 본 연구는 비 (非)시장재화인 플랫폼의 편익을 선택실험기법인 조건부가치측정법(CVM)을 적용하여 가구당 평균 지불 의사액을 추정하고, 이를 토대로 사회적 계산하였다. 분석 결과 가구의 지불의사액은 연간 6,908원, 국가 전체의 경제적 편익은 약 1,504억 원으로 추정되었다. 그간 환경・공공재의 적용되던 CVM의 적용 범위를 전 자정부 분야로 확장한 점에서 학술적 의의가 나아가, 플랫폼 도입이 활발하게 논의되는 현 상황에서, 대한 화폐가치로 추정하였다는 실무적 시사점을 지닌다.

Abstract Using the case of coronavirus disease-2019 (COVID-19) as a natural experiment, this study discusses how innovation policy should be designed in times crisis when public interest and privacy concerns collide. For purpose, causal relationship between social distancing enforcement adoption consideration is explored by using national-level survey data. Our key findings from econometric analysis are follows: first, implementation policies leads to an increase wearable devices. Second,...

본 연구는 2019 한국미디어패널자료를 활용하여 우리나라 국민의 OTT(Over The Top)서비스 이용행태를 살펴보고, 이산선택모형을 적용하여 다양한 OTT 이용행태에 대한 영향요인을 식별하고자 하였다. 논문에서 고려한 이용행태는 이용경험, 이용빈도, 빈지워칭, 유료서비스 이용여부 이며 이용행태의 결정요인으로는 인구사회요인, 혁신성향요인, TV시청요인, 이용경로 요인을 고려하였다. 분석결과, 다차원의 혁신성향 중 쾌락적 혁신성향이 높을수록 일관되게 OTT이용경험, 빈지워칭 영향을 미치는 것으로 나타났으며, 인지적 이용확률이 높은 나타났다. 한편 TV시청요인 실시간 TV시청 시간은 이용행태에서 유의한 드러났으며, TV장르 영화와 드라마 장르를 가장 선호할수록 증가하는 유료이용 등 OTT이용행태에 식별하고 이를 통해 OTT의 소구점을 파악함으로써 OTT를 제공하는 사업자 또는 제공하고자 하는 사업자에게 전략적 시사점을 제공한다.

본 연구는 인공지능(AI)서비스 확산에 따른 일자리 감소 우려와 증가 기대가 공존하는 상황에서 국내에서 AI 융합이 가장 활발한 대표적 수요분야(금융업, 의료업, 제조업)를 중심으로 기술도입에 산업별 도입현황 및 노동수요변화를 탐색하고자 각 분야 전문가들을 대상으로 표적집단면접(FGI: Focus Group Interview)을 수행하여 시사점을 도출하였다. 조사 결과, 조사대상 수요산업은 기술⋅제도⋅규제 특성이 매우 이질적이어서 AI가 노동수요 변화에 미치는 파급경로가 차별적이라는 사실을 알 수 있었다. 그럼에도 불구하고 단기간 내 기술에 의한 급격한 고용대체 가능성은 희박하다는 점, 그리고 산업 고용환경⋅근로환경의 변화가 오히려 기술의 발전 확산을 촉진하고 있다는 점 등 일부 간 공통점도 발견할 그동안 자동화로 인한 자본의 대체 계량경제⋅거시경제 모형을 활용하여 활발히 진행되었지만 AI에 초점을 두고 기술 도입산업의 고용영향에 대해 논의한 제한적이었다. 이러한 측면에서...