| Who will be smart home users? An analysis of adoption and diffusion of smart homes J Shin, Y Park, D Lee Technological Forecasting and Social Change 134, 246-253, 2018 | 332 | 2018 |
| Consumer preferences and willingness to pay for advanced vehicle technology options and fuel types J Shin, CR Bhat, D You, VM Garikapati, RM Pendyala Transportation Research Part C: Emerging Technologies 60, 511-524, 2015 | 196 | 2015 |
| Effect of electricity generation mix on battery electric vehicle adoption and its environmental impact H Choi, J Shin, JR Woo Energy Policy 121, 13-24, 2018 | 183 | 2018 |
| Can hydrogen fuel vehicles be a sustainable alternative on vehicle market?: Comparison of electric and hydrogen fuel cell vehicles J Shin, WS Hwang, H Choi Technological Forecasting and Social Change 143, 239-248, 2019 | 178 | 2019 |
| A mediating role of innovation capability between entrepreneurial competencies and competitive advantage WS Hwang, H Choi, J Shin Technology Analysis & Strategic Management 32 (1), 1-14, 2020 | 140 | 2020 |
| Using a discrete choice experiment to predict the penetration possibility of environmentally friendly vehicles H Byun, J Shin, CY Lee Energy 144, 312-321, 2018 | 130 | 2018 |
| How much hydrogen should be supplied in the transportation market? Focusing on hydrogen fuel cell vehicle demand in South Korea: Hydrogen demand and fuel cell vehicles in South … C Park, S Lim, J Shin, CY Lee Technological Forecasting and Social Change 181, 121750, 2022 | 103 | 2022 |
| Analyzing public preferences and increasing acceptability for the Renewable Portfolio Standard in Korea J Shin, JR Woo, SY Huh, J Lee, G Jeong Energy Economics 42, 17-26, 2014 | 96 | 2014 |
| Strategic management of over-the-top services: Focusing on Korean consumer adoption behavior J Shin, Y Park, D Lee Technological Forecasting and Social Change 112, 329-337, 2016 | 94 | 2016 |
| Impact of electric vehicles on existing car usage: A mixed multiple discrete–continuous extreme value model approach J Shin, J Hong, G Jeong, J Lee Transportation research part D: transport and environment 17 (2), 138-144, 2012 | 93 | 2012 |
| Demand forecasting for the 5G service market considering consumer preference and purchase delay behavior K Maeng, J Kim, J Shin Telematics and Informatics 47, 101327, 2020 | 81 | 2020 |
| The economic value of sustainable recycling and waste management policies: The case of a waste management crisis in South Korea S Ko, W Kim, SC Shin, J Shin Waste Management 104, 220-227, 2020 | 76 | 2020 |
| ICT-specific technological change and economic growth in Korea WS Hwang, J Shin Telecommunications Policy 41 (4), 282-294, 2017 | 75 | 2017 |
| The economic value of South Korea׳ s renewable energy policies (RPS, RFS, and RHO): A contingent valuation study SY Huh, J Lee, J Shin Renewable and Sustainable Energy Reviews 50, 64-72, 2015 | 74 | 2015 |
| Modelling the consumer decision‐making process to identify key drivers and bottlenecks in the adoption of environmentally friendly products D Shim, J Shin, SY Kwak Business Strategy and the Environment 27 (8), 1409-1421, 2018 | 67 | 2018 |
| Strategic management of cloud computing services: Focusing on consumer adoption behavior J Shin, M Jo, J Lee, D Lee IEEE transactions on engineering management 61 (3), 419-427, 2014 | 67 | 2014 |
| Influence of noise exposure on cardiocerebrovascular disease in Korea M Oh, K Shin, K Kim, J Shin Science of the Total Environment 651, 1867-1876, 2019 | 66 | 2019 |
| The effect of new media on consumer media usage: An empirical study in South Korea JR Woo, JY Choi, J Shin, J Lee Technological Forecasting and Social Change 89, 3-11, 2014 | 57 | 2014 |
| Strategic management of next-generation connected life: Focusing on smart key and car–home connectivity J Hong, J Shin, D Lee Technological Forecasting and Social Change 103, 11-20, 2016 | 53 | 2016 |
| Using deep learning techniques to forecast environmental consumption level D Lee, S Kang, J Shin Sustainability 9 (10), 1894, 2017 | 50 | 2017 |