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      Do Media Type and Time of Day Matter in Social Media Engagement? The Case of the Music Industry

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      https://www.riss.kr/link?id=A103673165

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      다국어 초록 (Multilingual Abstract)

      Despite the increasing interest and need of marketers for planning effective social media engagement, there has been relatively limited academic attention on examining the role of the when and what elements of social media marketing. This study propos...

      Despite the increasing interest and need of marketers for planning effective social media engagement, there has been relatively limited academic attention on examining the role of the when and what elements of social media marketing. This study proposes a modeling framework which can address the role of the time stamp and media type in social media engagement. Based on the elaboration likelihood model (Petty & Cacioppo, 1986) for information processing, we conjecture that media type and time-of-day will simultaneously matter in social media engagement. By text-mining Twitter data for a new brand in the music industry, we empirically investigate how consumer preferences for different media types (e.g., video, picture, and online news) can vary across the time of day. We find that unobserved consumer heterogeneity for media type preferences should be incorporated to simultaneously examine the when and what elements in consumers’ social media engagement. As our data is from the music industry, non-text based media types are generally preferred over text-based media types. Among non-text based media types, video is preferred over picture in the morning, whereas picture is preferred over video in the daytime. Moreover, text-based media types are preferred early in the day compared to later in the day.

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      참고문헌 (Reference)

      1 김민기, "소셜웹 시대의 미디어 마케팅 전략: 디지털 음악 콘텐츠를 중심으로" 엘지씨엔에스 12 (12): 45-58, 2013

      2 Aral, S., "Tie strength, embeddedness, and social influence : A large-scale networked experiment" 60 (60): 1352-1370, 2014

      3 Hoelzel, M., "There’s a simple rule that’s helping marketers advertise more effectively on social networks"

      4 Bakshy, E., "The role of social networks in information diffusion" 2012

      5 Goldenberg, J., "The role of hubs in the adoption process" 73 (73): 1-13, 2009

      6 Holbrook, M. B., "The experiential aspects of consumption : Consumer fantasies, feelings, and fun" 9 (9): 132-140, 1982

      7 Brookes, E. J, "The Anatomy of a Facebook Post: Study on Post Performance by Type, Day of the Week, and Time of Day"

      8 Geman, S., "Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images" 20 (20): 25-62, 1993

      9 Susarla, A., "Social networks and the diffusion of user-generated content : Evidence from YouTube" 23 (23): 23-41, 2012

      10 Bakshy, E., "Social influence in social advertising: evidence from field experiments" 2012

      1 김민기, "소셜웹 시대의 미디어 마케팅 전략: 디지털 음악 콘텐츠를 중심으로" 엘지씨엔에스 12 (12): 45-58, 2013

      2 Aral, S., "Tie strength, embeddedness, and social influence : A large-scale networked experiment" 60 (60): 1352-1370, 2014

      3 Hoelzel, M., "There’s a simple rule that’s helping marketers advertise more effectively on social networks"

      4 Bakshy, E., "The role of social networks in information diffusion" 2012

      5 Goldenberg, J., "The role of hubs in the adoption process" 73 (73): 1-13, 2009

      6 Holbrook, M. B., "The experiential aspects of consumption : Consumer fantasies, feelings, and fun" 9 (9): 132-140, 1982

      7 Brookes, E. J, "The Anatomy of a Facebook Post: Study on Post Performance by Type, Day of the Week, and Time of Day"

      8 Geman, S., "Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images" 20 (20): 25-62, 1993

      9 Susarla, A., "Social networks and the diffusion of user-generated content : Evidence from YouTube" 23 (23): 23-41, 2012

      10 Bakshy, E., "Social influence in social advertising: evidence from field experiments" 2012

      11 Hinz, O., "Seeding strategies for viral marketing : An empirical comparison" 75 (75): 55-71, 2011

      12 Petrovic, S., "RT to win! Predicting message propagation in twitter" 2011

      13 Koch, O. F., "Promotional tactics for online viral marketing campaigns : how scarcity and personalization affect seed stage referrals" 32 : 37-52, 2015

      14 De Vries, L., "Popularity of brand posts on brand fan pages : An investigation of the effects of social media marketing" 26 (26): 83-91, 2012

      15 이정윤, "Online Brand Community Management for New Products: The Role of Consumer-Specific Social Network Topology" 정보통신정책학회 22 (22): 67-92, 2015

      16 VanMeter, R. A., "Of"Likes"and"Pins" : The effects of consumers' attachment to social media" 32 : 70-88, 2015

      17 Singh, P. V., "Networks, social influence, and the choice among competing innovations : Insights from open source software licenses" 24 (24): 539-560, 2012

      18 Katona, Z., "Network effects and personal influences : The diffusion of an online social network" 48 (48): 425-443, 2011

      19 Hastings, W. K., "Monte Carlo sampling methods using Markov chains and their applications" 57 (57): 97-109, 1970

      20 Tellis, G. J., "Modeling the microeffects of television advertising: Which ad works, when, where, for how long, and why?" 24 (24): 359-366, 2005

      21 Chib, S., "Markov Chain Monte Carlo simulation methods in econometrics" 12 (12): 409-431, 1996

      22 Allenby, G. M., "Marketing models of consumer heterogeneity" (1–2) : 57-78, 1999

      23 Hautz, J., "Let users generate your video ads? The impact of video source and quality on consumers’ perceptions and intended behaviors" 28 (28): 1-15, 2014

      24 Kim, M., "Investigating brand preferences across social groups and consumption contexts" 10 (10): 305-333, 2012

      25 Yoganarasimhan, H., "Impact of social network structure on content propagation : A study using YouTube data" 10 (10): 111-150, 2012

      26 Bradley James Baker, "Hour-by-Hour Sales Impact of Mobile Advertising" Elsevier BV 2014

      27 Rutz, O. J., "From generic to branded : A model of spillover in paid search advertising" 48 (48): 87-102, 2011

      28 Labrecque, L. I., "Fostering consumer–brand relationships in social media environments : The role of parasocial interaction" 28 (28): 134-148, 2014

      29 Casella, G., "Explaining the Gibbs sampler" 46 (46): 167-174, 1992

      30 Beukeboom, C. J., "Does a Virtual Like Cause Actual Liking? How Following a Brand's Facebook Updates Enhances Brand Evaluations and Purchase Intention" 32 : 26-36, 2015

      31 Train, K. E., "Discrete choice methods with simulation" Cambridge University Press 2009

      32 Kemp, S., "Digital in 2016: We are social’s compendium of global digital, social, and mobile data, trends, and statistics"

      33 Beyers, H., "Dayparting online: living up to its potential?" 6 (6): 67-73, 2004

      34 Shi, Z., "Content sharing in a social broadcasting environment" 38 (38): 123-142, 2014

      35 Hollebeek, L. D., "Consumer brand engagement in social media : Conceptualization, scale development and validation" 28 (28): 149-165, 2014

      36 Petty, R. E., "Communication and persuasion" Springer 1-24, 1986

      37 Rossi, P. E., "Bayesian statistics and marketing" 22 (22): 304-328, 2003

      38 Spiegelhalter, D. J., "Bayesian measures of model complexity and fit" 64 (64): 583-639, 2002

      39 Huang, J., "Attitude toward the viral ad : Expanding traditional advertising models to interactive advertising" 27 (27): 36-46, 2013

      40 Newton, M. A., "Approximate Bayesian inference with the weighted likelihood bootstrap" 3-48, 1994

      41 Cooper, B. B., "A scientific guide to posting tweets, Facebook posts, emails and blog posts at the best time"

      42 Heine, C., "70% of Marketers Will Spend More on Social Media Ads This Year"

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      2027 평가예정 재인증평가 신청대상 (재인증)
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      2015-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2007-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2004-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2003-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2002-01-01 평가 등재후보학술지 유지 (등재후보1차) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.59 0.59 0.63
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.55 0.47 0.859 0.5
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