Exploring the Acceptance for Pixel Technology Implementation in Facebook Ads among Advertisers in Indonesia

Abstract

The business competition in the digital era is tighter and drives the entrepreneurs to optimize their efforts to win the game. Facebook ads as one of the biggest social marketing media provided a new technology called pixel which replacing conversion tracking pixel on February 15, 2017, for advertisers' advantages. The purpose of this study was to examine the factors influencing the usage of the pixel by the advertisers. This study adopted technology acceptance model (TAM) as a research framework and test it using structural equation modeling. One hundred and eighteen Facebook advertisers from Indonesia which are targeted by custom Facebook ads participated in this study. The findings of this study suggest that the attitude and perceived usefulness of the pixel significantly influence the behavioral intention of the advertisers on using the pixel. The research revealed that the perceived usefulness of the pixel is significantly influenced by the perceived ease of using the pixel. The results of this study will be useful for the Facebook as the provider to improve the technology usefulness and its user interfaces for its effective and efficient use for the Indonesian advertisers.

Keywords: pixel, Facebook ads, technology acceptance model

References
[1] Tikno, ”Measuring Performance of Facebook Advertising Based on Media Used: A Case Study on Online Shops in Indonesia,” in 8th International Conference on Advances Information Technology, Macau, 2016.


[2] Wirtz B. W., Piehler R. and Ullrich S., ”DETERMINANTS OF SOCIAL MEDIA WEBSITE ATTRACTIVENESS,” Journal of Electronic Commerce Research, 2013: vol. 14, no. 1, pp. 11-33.


[3] Statista, ”Most famous social network sites 2017, by active users,” Statista, January 2017. Online.. Available: https://www.statista.com/statistics/272014/global-socialnetworks-ranked-by number-of-users/. Accessed 1 June 2017..


[4] DeMers J., ”The Top 10 Benefits Of Social Media Marketing,” Forbes.com, 11 August 2014. Online.. Available: https://www.forbes.com/sites/jaysondemers/2014/08/11/the-top-10-benefitsof-social-media-marketing/. Accessed 1 June 2017..


[5] Copp E., ”10 Benefits of Social Media for Business,” Hootsuite.com, 17 August 2016. Online.. Available: https://blog.hootsuite.com/social-media-for-business/. Accessed 1 June 2017.


[6] Samaradiwakara G. D. M. N. and Gunawardena C., ”Comparison of Existing Technology Acceptance Theories and Models to Suggest a Well Improved Theory/Model,” International Technical Sciences Journal (ITSJ), 2014; vol. 1, no. 1, pp. 21-36.


[7] Ajzen I., ”The theory of planned behavior,” Organizational Behavior and Human Decision, 1991; vol. 50, no. 2, pp. 179-211.


[8] Mathieson K., ”Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior,” Information Systems Research, 1991; vol. 2, no. 3, pp. 173-191.


[9] Ajzen I., and Fishbein M., Understanding attitudes and predicting social behavior, Englewood Cliffs, NJ: Prentice-Hall, 1980.


[10] Davis F. D., ”Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,” MIS Quarterly, 1989; vol. 13, no. 3, pp. 319-340.


[11] Nasri W. and Charfeddine L., ”An Exploration of Facebook.Com Adoption in Tunisia Using Technology Acceptance Model (TAM) and Theory of Reasoned Action (TRA),” INTERDISCIPLINARY JOURNAL OF CONTEMPORARY RESEARCH IN BUSINESS, 2012; vol. 4, no. 5, pp. 948-968.


[12] Zhou M., ”Chinese university students’ acceptance of MOOCs: A self-determination perspective,” Computers & Education, 2016; vol. 92, pp. 194-203.


[13] Sabir R. I., Wasim A. and Nabila N., ”Adoption of social networking sites among Pakistani university students: A case of face-book,” Journal of Asian Business Strategy, 2013; vol. 3, no. 6.


[14] Al-Mowalad A. and Putit L., ”The extension of TAM: the effects of social media and perceived risk in online purchase,” in 2012 International Conference on Innovation Management and Technology Research, 2012.


[15] Facebook, ”How do I transition from a conversion tracking pixel to a Facebook pixel?,” Facebook.com, February 2017. Online.. Available: https://www.facebook.com/business/help/1058078787600162. Accessed 1 June 2017.


[16] Facebook, ”Track your success with the Facebook pixel,” Facebook.com, 2017. Online.. Available: https://www.facebook.com/business/a/facebook-pixeltracking-benefits. Accessed 1 June 2017..


[17] Trentacosti F., ”The Defnitive Guide to Retargeting on Facebook,” Uhuru Network Digital Marketing Consultant, California, 2017.


[18] Dehghani M. and Tumer M., ”A research on effectiveness of Facebook advertising on enhancing purchase intention of consumers,” Computers in Human Behavior, 2015; vol. 49, pp. 597-600.


[19] Rao A., Schaub F. and Sadeh N., ”What do they know about me? Contents and concerns of online behavioral profiles,” in ASE Conference on Privacy, Security, Risk and Trust (PASSAT), Cambridge, 2014.


[20] Federal Trade Commission, ”Data Brokers: A Call For Transparency and Accountability: A Report of the Federal Trade Commission,” Federal Trade Commission, Washington, 2014.


[21] ORACLE, ”The Oracle Data Cloud Registry – putting consumers in control of their digital footprint,” Oracle Data Cloud, 2014. Online.. Available: http://bluekai.com/registry/. Accessed 1 June 2017.


[22] Beales H., ”The value of behavioral targeting,” Network Advertising Initiative, 2010.


[23] Farahat A. and Bailey M. C., ”How effective is targeted advertising?,” in Proceedings of the 21st Annual Conference on World Wide Web, DOI: 10.1145/2187836.2187852, 2012.


[24] Lambrecht A. and Tucker C., ”When Does Retargeting Work? Information Specificity in Online Advertising,” Journal of Marketing Research, 2013; vol. 5, pp. 561-576.


[25] Tucker C. E., ”Social Advertising: How Advertising that Explicitly Promotes Social Influence Can Backfire,” http://dx.doi.org/10.2139/ssrn.1975897, Available at SSRN: https://ssrn.com/abstract=1975897, 2016.


[26] McDonald A. and Cranor L. F., ”Beliefs and Behaviors: Internet Users’ Understanding of Behavioral Advertising,” in TPRC 2010, https://ssrn.com/abstract=1989092, 2010.


[27] Agarwal L., Shrivastava N., Jaiswal S. and Panjwani S., ”Do not embarrass: reexamining user concerns for online tracking and advertising,” in Proceedings of the Ninth Symposium on Usable Privacy and Security, Newcastle, United Kingdom, 2013.


[28] Ur B., Leon P. G., Cranor L. F., Shay R. and Wang Y., ”Smart, Useful, Scary, Creepy: Perceptions of Online Behavioral Advertising,” in Proc. SOUPS 2012, Washington, 2012.


[29] Chuttur M., ”Overview of the Technology Acceptance Model: Origins, Developments and Future Directions,” ALL SPROUTS CONTENT, 200; vol. 9, no. 37, pp. 1-22.


[30] King W. H. and He J., ”A meta-analysis of the technology acceptance model,” Journal Information and Management, 2006; vol. 43, no. 6, pp. 740-755.


[31] Legris P., Ingham J. and Collerette P., ”Why do people use information technology? A critical review of the technology acceptance model,” Information & Management, 2003; vol. 40, no. 3, pp. 191-204


[32] Yücel. A. and Gulbahar Y., ”Technology Acceptance Model: A Review of the Prior Predictors,” Journal of Faculty of Educational Sciences - Ankara University, 2013; vol. 46, no. 1, pp. 89-109.


[33] Venkatesh V. and Davis F. D., ”A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies,” Management Science, 2000; vol. 46, no. 2, pp. 186-204.


[34] Ringle C. M., Wende S. and Becker J.-M., ”SmartPLS 3. Bönningstedt: SmartPLS,” http://www.smartpls.com, 2015.


[35] Hox J.J., and Bechger T.M., “An Introduction to Structural Equation Modeling,” Family Science Review, 1999; 11, 354-373