Google TV or Apple TV?-The Reasons for Smart TV Failure and a User-Centered Strategy for the Success of Smart TV

被引:15
|
作者
Shin, Jungwoo [1 ]
Park, Yuri [2 ]
Lee, Daeho [3 ]
机构
[1] Korea Environm Inst, Environm Policy Res Grp, Sicheong Daero 339007, Sejong Si, South Korea
[2] Korea Informat Soc Dev Inst, Dept ICT Ind Res, 18 Jeongtong Ro, Jincheon Gun 27872, Chungcheongbuk, South Korea
[3] Sungkyunkwan Univ, Dept Interact Sci, Seoul 110745, South Korea
关键词
smart TV; consumer preference; mixed logit; binary logit; conjoint analysis; Bayesian estimation; CONJOINT-ANALYSIS; SIMILARITY; DEMAND;
D O I
10.3390/su71215797
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Traditional television (TV) has evolved into smart TV in terms of both hardware and software. However, compared with smart phones and tablet PCs, which are huge successes in the market, smart TV has grown more slowly than the market expected and has not really changed the TV market. In this study, we investigate reasons for the failure of smart TV from consumer perspectives. We use conjoint analysis to collect stated preference data from consumers. Our analysis consists of two parts: analyzing consumer preferences for six attributes of smart TVs and examining the effects of socio-demographic and behavioral information on purchase intention for a smart TV. Based on the estimation results from the first part, we find that consumers set a higher value on the traditional characteristics of TV than on the functions of smart TV. Thus, smart TV does not have key functions to encourage its adoption over traditional TV. From the second part of our analysis, we identify which factor is most important to increase purchase intention for a smart TV. Based on our results, we can suggest the direction of market strategies about how to cross the chasm of smart TV.
引用
下载
收藏
页码:15955 / 15966
页数:12
相关论文
共 50 条
  • [21] Delivering Historical Information Shown in Korean TV Drama Over Smart TV
    Byun, Jisun
    ADVANCES IN COMPUTER SCIENCE AND UBIQUITOUS COMPUTING, 2018, 474 : 221 - 226
  • [22] Automatic and personalized recommendation of TV program contents using sequential pattern mining for smart TV user interaction
    Pyo, Shinjee
    Kim, Eunhui
    Kim, Munchurl
    MULTIMEDIA SYSTEMS, 2013, 19 (06) : 527 - 542
  • [23] Automatic and personalized recommendation of TV program contents using sequential pattern mining for smart TV user interaction
    Shinjee Pyo
    Eunhui Kim
    Munchurl Kim
    Multimedia Systems, 2013, 19 : 527 - 542
  • [24] Perspectives on the Design, Challenges, and Evaluation of Smart TV User Interfaces
    Khan, Mumtaz
    Khusro, Shah
    Alam, Iftikhar
    Ali, Shaukat
    Khan, Inayat
    SCIENTIFIC PROGRAMMING, 2022, 2022
  • [25] Perspectives on the Design, Challenges, and Evaluation of Smart TV User Interfaces
    Khan, Mumtaz
    Khusro, Shah
    Alam, Iftikhar
    Ali, Shaukat
    Khan, Inayat
    Scientific Programming, 2022, 2022
  • [26] Smart TV arrives from FUJITSU
    不详
    CONTROL & AUTOMATION, 2007, 18 (03): : 4 - 4
  • [27] User interface using bounce for realistic movement on smart TV
    Ryu D.
    Park K.
    Int. J. Inf. Technol. Manage., 1-2 (51-61): : 51 - 61
  • [28] Memory Access Scheduling for a Smart TV
    Hahm, Cheul-Hee
    Lee, Sunggu
    Lee, Taeyoung
    Yoo, Sungjoo
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2016, 26 (02) : 399 - 411
  • [29] Further Analysis on Smart TV Forensics
    Park, Minsu
    Kang, Heesoo
    Baek, Seungsoo
    Kim, Seungjoo
    JOURNAL OF INTERNET TECHNOLOGY, 2018, 19 (04): : 1055 - 1061
  • [30] Design and Development of Smart TV Protector
    Privitera, Donald
    Shahriar, Hossain
    2018 NATIONAL CYBER SUMMIT: RESEARCH TRACK (NCS 2018), 2018, : 45 - 52