What can we learn from advertisements of logistics firms on YouTube? A cross cultural perspective

The current leading third party logistics industry players have all experienced a shift towards an increasingly retail consumer point of contact, therefore facilitating the need to appeal to the retail consumer through advertising and brand management. With the rise in word-of-mouth (WOM) advertising in online, Web 2.0 contexts, this empirical work represented a first attempt to investigate the correlation between the placement of corporate ads on a user-generated Web 2.0 platform with the bottom line of the logistics firms involved, with a focus on the express package industry. The study further investigated whether there were common characteristics of effective advertisements in Web 2.0 environments as rated by viewers, and whether such assessments would hold across cultural and demographic boundaries, given the global nature of Web 2.0 content. It was found that both page hit popularity and respondent agreement on effective advertisement characteristicsrelated positively to sales, with results being consistent cross-culturally. Firms are strongly advised to take note of the massive potential for highly low cost or free advertising such platforms can provide. Conversely, firms must become aware of both the benefits and risks of Web 2.0 environments, including damage caused by potential saboteurs to their brand control and image.

[1]  Joel D. Nicholson,et al.  Strategic alliances in logistics outsourcing , 2000 .

[2]  Chrysanthos Dellarocas,et al.  The Digitization of Word-of-Mouth: Promise and Challenges of Online Feedback Mechanisms , 2003, Manag. Sci..

[3]  Scot Burton,et al.  THE LAST MILE: AN EXAMINATION OF EFFECTS OF ONLINE RETAIL DELIVERY STRATEGIES ON CONSUMERS , 2003 .

[4]  Yadong Luo,et al.  Determinants of local responsiveness: perspectives from foreign subsidiaries in an emerging market , 2001 .

[5]  Gary W. Loveman,et al.  Putting the Service-Profit Chain to Work , 1994 .

[6]  Prashanth U. Nyer,et al.  The role of emotions in marketing , 1999 .

[7]  Panagiotis G. Ipeirotis,et al.  The EconoMining project at NYU: Studying the economic value of user-generated content on the internet , 2009 .

[8]  Namkee Park,et al.  Intention to upload video content on the internet: The role of social norms and ego-involvement , 2011, Comput. Hum. Behav..

[9]  Robert Burns,et al.  Content clouds: classifying content in Web 2.0 , 2008 .

[10]  Grzegorz Mazurek Web 2.0 Implications on Marketing , 2009 .

[11]  G. Graham,et al.  The regional‐newspaper industry supply chain and the internet , 2010 .

[12]  Jo Pierson,et al.  Co-creation and user-generated content-elderly people's user requirements , 2009, Comput. Hum. Behav..

[13]  J. Edell,et al.  The Power of Feelings in Understanding Advertising Effects , 1987 .

[14]  Xiaojing Yang,et al.  Beyond Attention Effects: Modeling the Persuasive and Emotional Effects of Advertising Creativity , 2009, Mark. Sci..

[15]  A. Gunasekaran Benchmarking in logistics , 2002 .

[16]  H. Gorringe New ways to communicate: the development of Web 2.0 and Social Media. , 2009 .

[17]  Yuxin Chen,et al.  A Theory of Combative Advertising , 2009, Mark. Sci..

[18]  Anna S. Mattila,et al.  Do emotional appeals work for services , 1999 .

[19]  Rodney W. Thomas When Student Samples Make Sense in Logistics Research , 2011 .

[20]  A. Rizzi,et al.  A fuzzy TOPSIS methodology to support outsourcing of logistics services , 2006 .

[21]  David Godes,et al.  Firm-Created Word-of-Mouth Communication: Evidence from a Field Test , 2009, Mark. Sci..

[22]  V. Ratten Learning and information dissemination in logistics alliances , 2004 .

[23]  B. Çatay,et al.  Third‐party logistics provider selection: insights from a Turkish automotive company , 2007 .

[24]  M. Holbrook,et al.  Assessing the Role of Emotions as Mediators of Consumer Responses to Advertising , 1987 .

[25]  Ji-Ren Lee,et al.  Internationalization, Local Adaptation, and Subsidiary's Entrepreneurship: An Exploratory Study on Taiwanese Manufacturing Firms in Indonesia and Malaysia , 2003 .

[26]  Ria Verleur,et al.  Flaming on YouTube , 2010, Comput. Hum. Behav..

[27]  Kuo-Hsiang Chen,et al.  How different information types affect viewer's attention on internet advertising , 2011, Comput. Hum. Behav..

[28]  Qiang Wang,et al.  The impact of information technology on the financial performance of third‐party logistics firms in China , 2008 .

[29]  Marsha L. Richins Measuring Emotions in the Consumption Experience , 1997 .

[30]  T. Bettina Cornwell,et al.  A Review of Methods Utilized in Measuring Affect, Feelings, and Emotion in Advertising , 1991 .

[31]  David Luna,et al.  Cross-cultural and cognitive aspects of web site navigation , 2002 .

[32]  Paul Miller Web 2.0: Building the New Library , 2005 .

[33]  E. Keller Unleashing the Power of Word of Mouth: Creating Brand Advocacy to Drive Growth , 2007, Journal of Advertising Research.