American Journal of Operations Management and Information Systems
Volume 5, Issue 1, March 2020, Pages: 1-12
Received: Dec. 1, 2019;
Accepted: Feb. 12, 2020;
Published: Feb. 18, 2020
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Rouhollah Tavallaee, Management Department, Shahid Beheshti University, Tehran, Iran
Nasim Hosseinzadeh Nosrati, Management & Accounting Department, Seraj University, Tabriz, Iran
Mohammadreza Hosseini, Management Department, Central Branch, Islamic Azad University, Tehran, Iran
Bahar Hosseinzadeh Nosrati, Management Department, University College of Nabi Akram, Tabriz, Iran
Current era is customer-orientation era and organizations try hard to satisfy their customers and do their best in marketing. There are numerous factors affect customer satisfaction. One of these important factors is crowdsourcing. Crowdsourcing is one of the emerging Web based phenomenon which has attracted great attention from both customers and researchers over the years. Therefore, to investigate it and its effective factors is needed. So, this research is modeling the crowdsourcing effective factors on marketing in tourism industry. Current research is applied one and seeks to identify crowdsourcing effective factors on customer satisfaction in tourism industry. Also, research method is descriptive-survey. So, the independent and dependent variables have been introduced at the first part by literature review. Then, the identified factors in the model has been validated by using judgmental method and 7 experts’ viewpoints in tourism field. To present the final conceptual model, fuzzy cognitive mapping and expert mind map drawing have been used. Findings have indicated that among the technology factor indexes, the “social networks” index had the most effect; among environmental factor indexes, the “applying competitive competitiveness” index had the most effect; among the product market price factor indexes, the “consumer price elasticity” index had the most effect; among the executive decisions factor indexes, the “high income for better planning” index had the most effect; among the financial flows factor indexes, the “organizing suitable individual” index had the most effect; among the motive forces factor indexes, the “task attractiveness” index had the most effect; among the main factors indexes, the “using the newest sources” index had the most effect and among task features indexes, the “creativity in performing the task” index had the most effect. Also, recommendations have been presented.
Nasim Hosseinzadeh Nosrati,
Bahar Hosseinzadeh Nosrati,
Modeling the Crowdsourcing Effective Factors on Marketing in Tourism Industry, American Journal of Operations Management and Information Systems.
Vol. 5, No. 1,
2020, pp. 1-12.
Alam, S. L., MacKrell, D., & Rizvi, S. U. (2012). Croedsourcing Travel Experience: A case study of user participation on the tourism Australia Facebook Page. Association for Information System.Mediterranean Conference on Information System.
Alonso, O. & Lease, M. (2011). Crowdsourcing 101: Putting the WSDM of Crowds to Work Work for You. Proceeding of the fourth ACM international conference on Web search and data mining, WSDM.
Bachrach, Y., Ceppi, S., Kash, I. A., Key, P., Radlinski, F., Porat, E.,... Sharma, V. (2014). Building APersonalized Tourist Attraction Recommender System Using Crowdsourcing. Proceedings of the 13th International Conference on Autonomous Agent and Multiagent Systems.
Bal, A. S., Weidner, K., Hanna, R., & Mills, A. J. (2016). Crowdsourcing and brand control. Business Horizons.
Bayus, B. L. (2010). Crowdsourcing and individual creativity over time: the detrimental effects of past success. SSRN Quantitative Marketing eJournal, Retrieved from http://ssrn.com/abstract01667101.
Brabham, D. C. (2008). Crowdsourcing as a Model for Problem Solving: An Introduction and Cases, Convergence. The International Journal of Research into New Media Technologies, 14 (1), 75-90.
Brabham, D. C. (2008). Moving the crowd at iStockphoto; the composition of the crowd and mitivations for participation in a crowdsourcing application. First Monday, 13 (6).
Bederson, B. B. & Quinn, A. J. (2011). Web Workers Unite! Addressing Challenge of Online Laborers. Proceedings of Annual conference extended abstracts on Human Factors in Computing Systems.
Brito,, J. (2008). Crowdsourcing government transparency.. The Columbia Science and Technology Law Review, 119-157.
Bosman, J. (2006). Chevy tries a write-your-own ad approach, and the potshots fly. The New York. Retrieved from http://www.nytimes.com/2006/04/04/business/media/04adco.html?_r=0.
Buecheler, T., Sieg, J. H., Fuchslin, R. M., & Pfeifer. (2010). Crowdsourcing, Open Innovation and Collective Intelligence in the Scientific Method; A research Agenda and Operational Framework. The International Conference on the Synthesis and Simulation of Living Systems, Odense, Denmark, 679-686.
Burger-Helmchen, T., & Penin, J. (2010). The limits of crowdsourcing inventive activities; what do transaction cost theory and the evolutionary theories of the firm teach us? Workshop on Open Source Innovation, Strasbourg, France.
Chanal, V., & Caron-Fasan, M. L. (2008). How to invent a new business model based on crowdsourcing;. The crowdspirit.
Digout, J., Azouri, M., Decaudin, J.-M., & Rochard, S. (2013). Crowdsourcing to obtain a Creativity Group. The Arab Economic and Business Journal, 8, 6-15.
Donan et al. (2011). Crowdsourcing systems on the World-Wide Web. Communications of the ACM, 54 (4), 86-86.
Gatautis, R., & Vitkauskaite, E. (2014). Crowdsourcing application in marketing activities. Contemporary Issues in Business, Management and Education, 1243 – 1250.
Heer, J., & Bostok, M. (2010). Crowdsourcing graphical perception; using mechanical turk to assess visualization design. Proceeding of the 28th international conference on Human factors in computing systems.
Hosaka, T. A. (2008). Facebook asks users to translate for free. ‘Crowdsourcing’ aids company’s aggressive worldwide expansion. NBCNews.com. Retrieved October 21, 2013, from http://www.nbcnews.com/id/24205912.
Howe, J. (2011). Crowdsourcing; A definition. Crowdsourcing: Why the Power of the Crowd is Driving the Future of Business. http://crowdsourcing.typed.com.%%%% %Howe, J. (2006). Mission Statement’. Crowdsourcing: Tracking the Rise of the Amateur. URL (accessed 6 May 2007): http://crowdsourcing.typepad.com/cs/2006/05/hi_my_name_is_j.html.
Howe, J. (2006). The rise of crowdsourcing. Wired Magazine, 14 (6), 1-4.
Kleeman et al. (2011). Un (der) paid Innovation; The Commercial Uti; ization of Consumer Work through crowdsourcing. Science Technology and Innovation Studies, 53 (12), 5-26.
La Vecchia, G., & Cisternino, A. (2010). Collaborative workforce, business process crowdsouring as an alternative of BPO. First Interprise crowdsourcing Workshop in conjunction with JCWE.Springer-Verlag, Berlin/Heidelberg, 425-430.
Leal, F., Malheiro, B., & Burguillo, J. C. (2016). Recommendation of Tourism Resources Supported by Crowdsourcing. International Conference on Information and Communication Technologies in Tourism.
Leimeister, J., Huber, M., Bretschneider, U., & Krcmar, H. (2009). Leveraging crowdsourcing -activation-supporting components for IT-based idea competitions. J. ournal of Management Information Systems, 26 (1), 197–224.
Maione, I. (2013). Paid crowdsourcing: increased know-how is needed. http://www.clickworker.com/en/presseservice.
Marjanovic, S., Fry, C., & Chataway, J. (2012). Crowdsourcing based business models: In search of evidence for innovation. Science and Public Policy, 1-15.
Mazzola, D., & Distefano, A. (2010). Crowdsourcing and the participation process for problem solving: the case of BP. VII Conference of Italian Chapter of AIS. Information technology and Innovation trend in Organization.
Oliveira et al. (2010). Definition of a crowdsourcing Innovation Service for the European SMEs. Current Trend in web Engineering - Springer, Berlin/Heidelberg, 412-416.
Poetz, M. K., & Schreier, M. (2009). The value of crowdsourcing; Can Users Really Compete with Professionals in Generating New Product Ideas? Journal of Product Innovation Management.
Sansom, C. (2011). The power of many’, news feature. Nature Biotechnology, 29, 201-203.
Saxton et al. (2013). Rules of Crowdsourcing: Models, Issues, and Systems of Control. Information Systems Management, 30 (1).
Schenk, E., & Guittard, C. (2009). Crowdsourcing: What can be Outsourced to the Crowd, and Why ? National Institute of Applied Science.
Shao, B., Shi, L., Xu, B., & Liu, L. (2012). Factors affecting participation of solvers in crowdsourcing: an empirical study from China. Electron Markets, 22, 73–82.
Sigala, M. (2015). Gamification for Crowdsourcing Marketing Practices: Applications and Benefits in Tourism. In Advances in Crowdsourcing. Springer International Publishing., 129-145.
Tiwari, S., & Kaushik, S. (2014). Information Enrichment for Tourist Spot Recommender System Using Location Aware Crowdsourcing. 15th International Conference on Mobile Data Management, 11-14.
Tiwari, S., & Kaushik, S. (2015). Crowdsourcing Based Fuzzy Information Enrichment of Toursim Spot Recommender Systems. Computational Science and Its Applications/Springer International Publishing, 559-574.
Vohnout, P., Cerba, O., Kafka, S., Fryml, J., Krivanek, Z., & Holy, S. (2014). Smart Tourism Data Approach For connecting Local and global tourist information systems. Africa Conference Proceedings, 1-6.
Vukovic, M., Mariana, L., & Laredo, J. (2009). People Cloud for the Globally Integrated Enterprise. Service-Oriented Computing (Spinger-Verlag, Berlin/Heidelberg.
Wenger, S. (1998). Communities of practice: learning, meaning and identity. Cambridge.
Whitla, P. (2009). Crowdsourcing and Its Application in Marketing. Crowdsourcing Management Research, 5 (1), 15-28.
Yang, J., Adamic, L. A., & Ackerman, M. S. (2008). Crowdsourcing and knowledge sharing: strategic user behaviour on tasken. Proceedings of the 9th ACM conference on Electronic commerce, 246-255.
Zhao, Y., & Zhu, Q. (2014). Evaluation on crowdsourcing research: Current status and future direction. Springer Science+Business Media, LLC 2012.
Zhuang, Y., Zhunge, F., Chiu, D. K., Ju, C., & Jiang, B. (2014). A Personalized Travel System Based on Crowdsourcing Model. In Advanced Data Mining and Applications. Springer International Publishing, 163-174.