Profiles of social networking sites users in the Netherlands

Online social networking has become a reality and integral part of the daily personal, social and business life. The extraordinary increase of the user numbers of Social Networking Sites (SNS) and the rampant creation of online communities presents businesses with many challenges and opportunities. From the commercial perspective, the SNS are an interesting and promising field: online social networks are important sources of market intelligence and also offer interesting options for co-operation, networking and marketing. For SMEs especially the Social Networking Sites represent a simple and low cost solution for listening the customer’s voice, reaching potential customers and creating extensive business networks. This paper presents the results of a national survey mapping the demographic, social and behavioral characteristics of the Dutch users of SNS. The study identifies four different user profiles and proposes a segmentation framework as basis for better understanding the nature and behavior of the participants in online communities. The findings present new insights to marketing strategists eager to use the communication potential of such communities; the findings are also interesting for businesses willing to explore the potential of online networking as a low cost yet very efficient alternative to physical, traditional networking.

[1]  Jacob Goldenberg,et al.  Riding the Saddle: How Cross-Market Communications Can Create a Major Slump in Sales , 2002 .

[2]  Richard D. Waters,et al.  Engaging stakeholders through social networking: How nonprofit organizations are using Facebook , 2009 .

[3]  Glen Urban,et al.  Don't Just Relate - Advocate!: A Blueprint for Profit in the Era of Customer Power , 2005 .

[4]  T. Parsons The Social System , 1953 .

[5]  Ca Jose,et al.  Lampe, Cliff, Ellison, Nicole, and Steinfeld, Charles. . Face(book): Profile Elements as Signals in an Online Social Network. , 2007, CHI 2007.

[6]  Starr Roxanne Hiltz,et al.  Trust and Privacy Concern Within Social Networking Sites: A Comparison of Facebook and MySpace , 2007, AMCIS.

[7]  Robert M. Schindler,et al.  Internet forums as influential sources of consumer information , 2001 .

[8]  Judith Donath,et al.  Public Displays of Connection , 2004 .

[9]  N. Coviello,et al.  Growing the entrepreneurial firm , 1995 .

[10]  A. Groen Knowledge intensive entrepreneurship in networks: towards a multi-level/multi dimensional approach , 2005 .

[11]  J. Ruyter,et al.  Cooperation in new service development: a social dynamic approach , 1996 .

[12]  Nicole B. Ellison,et al.  Managing Impressions Online: Self-Presentation Processes in the Online Dating Environment , 2006, J. Comput. Mediat. Commun..

[13]  Danah Boyd,et al.  Social Network Sites: Definition, History, and Scholarship , 2007, J. Comput. Mediat. Commun..

[14]  André Hardy,et al.  An examination of procedures for determining the number of clusters in a data set , 1994 .

[15]  Girish N. Punj,et al.  Cluster Analysis in Marketing Research: Review and Suggestions for Application , 1983 .

[16]  Efthymios Constantinides,et al.  Social Media: A New Frontier for Retailers? , 2008 .

[17]  J. Deighton,et al.  Interactivity's Unanticipated Consequences for Marketers and Marketing , 2009 .

[18]  E. Rogers Diffusion of Innovations, Fourth Edition , 1982 .

[19]  R. Burt Cooptive Corporate Actor Networks: A Reconsideration of Interlocking Directorates Involving American Manufacturing , 1980 .

[20]  B. Wellman Computer Networks As Social Networks , 2001, Science.

[21]  Varghese S. Jacob,et al.  A study of the classification capabilities of neural networks using unsupervised learning: A comparison withK-means clustering , 1994 .

[22]  Stephanie M. Reich,et al.  Online and Offline Social Networks: Use of Social Networking Sites by Emerging Adults , 2008 .

[23]  Trent J. Spaulding How can virtual communities create value for business? , 2010, Electron. Commer. Res. Appl..

[24]  Geoff Easton,et al.  Industrial Networks: A New View of Reality , 1992 .

[25]  E S Rogers,et al.  A consumer-constructed scale to measure empowerment among users of mental health services. , 1997, Psychiatric services.

[26]  Andrew Keen,et al.  Book Review: Andrew Keen, The Cult of the Amateur: How Today's Internet Is Killing Our Culture and Assaulting Our Economy. London and Boston, MA: Currency/Doubleday, 2007. 228 pp. ISBN 0—3855—2080—8, $22.95 (pbk) , 2008, New Media Soc..

[27]  A. Lenhart,et al.  Social networking websites and teens: an overview , 2007 .

[28]  Dwayne D. Gremler,et al.  Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet? , 2004 .

[29]  M. Wedel,et al.  Market Segmentation: Conceptual and Methodological Foundations , 1997 .

[30]  G. De Soete,et al.  Clustering and Classification , 2019, Data-Driven Science and Engineering.

[31]  G. W. Milligan,et al.  An examination of procedures for determining the number of clusters in a data set , 1985 .

[32]  S. Shane,et al.  Explaining the Formation of International New Ventures: The Limits of Theories from International Business Research , 1994 .

[33]  E. Hippel Sticky Information and the Locus of Problem Solving: Implications for Innovation , 1994 .

[34]  Lee Sproull,et al.  Connections: New Ways of Working in the Networked Organization , 1991 .

[35]  Efthymios Constantinides,et al.  Web 2.0: Conceptual foundations and marketing issues , 2008 .

[36]  Steve Jones The Internet Goes to College. Pew Internet & American Life. , 2002 .

[37]  Luke Tredinnick Web 2.0 and Business , 2006 .

[38]  Harald Hruschka,et al.  Comparing performance of feedforward neural nets and K-means for cluster-based market segmentation , 1999, Eur. J. Oper. Res..

[39]  Cliff Lampe,et al.  A face(book) in the crowd: social Searching vs. social browsing , 2006, CSCW '06.

[40]  Derrick S. Boone,et al.  Retail segmentation using artificial neural networks , 2002 .

[41]  Varghese S. Jacob,et al.  Comparative performance of the FSCL neural net and K-means algorithm for market segmentation , 1996 .

[42]  F. Bass A new product growth model for consumer durables , 1976 .

[43]  Katarina Stanoevska-Slabeva,et al.  Overview of business models for Web 2.0 communities , 2006, GeNeMe.

[44]  Frank M. Bass,et al.  A New Product Growth for Model Consumer Durables , 2004, Manag. Sci..

[45]  Tad Hogg,et al.  Inferring preference correlations from social networks , 2010, Electron. Commer. Res. Appl..

[46]  L. Lefebvre,et al.  Competitive positioning and innovative efforts in SMEs , 1993 .

[47]  Steve Jones,et al.  The Internet Goes to College , 2002 .

[48]  David Beer,et al.  Social network(ing) sites...revisiting the story so far: A response to danah boyd & Nicole Ellison , 2008, J. Comput. Mediat. Commun..

[49]  Alessandro Acquisti,et al.  Information revelation and privacy in online social networks , 2005, WPES '05.

[50]  Mary Beth Rosson,et al.  journal homepage: www.elsevier.com/locate/ecra Privacy as information access and illusory control: The case of the Facebook News Feed privacy outcry , 2022 .

[51]  Balaji Rajagopalan,et al.  Knowledge-sharing and influence in online social networks via viral marketing , 2003, CACM.

[52]  Mitch Meyerson Success Secrets of the Social Media Marketing Superstars , 2005 .

[53]  Annette Mills,et al.  A model of Internet adoption by SMEs , 2001, Inf. Manag..

[54]  Cliff Lampe,et al.  The Benefits of Facebook "Friends: " Social Capital and College Students' Use of Online Social Network Sites , 2007, J. Comput. Mediat. Commun..