Low Income Community as Crowd Worker for Crowdsourcing: Issues, Challenges and Future Direction

  • Authors

    • Zazaleena Zakariah
    • Norjansalika Janom
    • Noor Habibah Arshad
    2018-12-09
    https://doi.org/10.14419/ijet.v7i4.33.23486
  • Crowd worker, Crowdsourcing, Low Income Community, Impact Sourcing, B40.
  • Abstract

    World are now facing flood of low income community responding to current global issue regarding employment. Considering the advantages of crowdsourcing, it has been identified as one potential solution to the issue. Responding to that, the concept has been implemented in many developing countries that have high rate of low income community such as India, Nepal and Philippines. Through crowdsourcing, business and individual can achieve greater and higher productivity in faster and shorter period. Crowdsourcing offer flexibility in terms of time, locations and durations of doing tasks and the most important is crowdsourcing will give additional income to complement existing income that will help to uplift one’s lifestyle hence reduce the rate of low income community. However, focusing on low income community as crowd worker for crowdsourcing require depth understanding on varies factors such as crowd education levels, skills, attitudes, language and etcetera. Visibly, there are numerous issues and challenges in the implementation process. Thus, this study aims to discuss the issues and challenges when dealing with low income community as crowd worker. This study presents seven vital factors that need to be taken into deliberation when dealing with low income community. The results and discussion from this study can be used as a road map to prepare an action plan for a successful crowdsourcing implementation for low income community.

     

     

  • References

    1. [1] Aziz, A. A., Lokman, A. M., & Yusof, Z. M. (2011). Information technology ethics: The conceptual model of constructs, actions and control measure. International Journal on Computer Science and Engineering, 3(6), 2580-2588.

      [2] Suhaimi, A. I. H., Rahim, H. A. A., Redzuan, F., Isa, W. A. R. W., & Adnan, W. A. W. (2017). The determinants of online information sharing behavior among millennials in Malaysia. Advanced Science Letters, 23(11), 10568-10572.

      [3] Agnel, A. (2008). Crowdsourcing: The disruptive business model that enable customer to innovate you.

      [4] Estellés-Arolas, E., & González-Ladrón-De-Guevara, F. (2012). Towards an integrated crowdsourcing definition. Journal of Information Science, 38(2), 189-200.

      [5] Salleh, S. S., Arshad, N. H., Mastuki, N., Aris, S. R. S., & Janom, N. (2013). Formulating cohesive digital ecosystem of micro sourcing business process in Malaysia. Proceedings of the IEEE Science and Information Conference, pp. 321-327.

      [6] Arshad, N. H., Salleh, S. S., Aris, S. R. S., Janom, N., & Mastuki, N. (2013). Micro sourcing strategic framework for low income group. International Journal of Advanced Computer Science and Applications.

      [7] Arshad, N. H., Aris, S. R. S., Salleh, S. S., & Janom, N. (2014). Enablers in implementing micro sourcing for the low income group in Malaysia. International Journal of Computers and Technology, 12(5), 3500-3507.

      [8] Arshad, N. H., Salleh, S. S., Aris, S. R. S., Janom, N., & Mastuki, N. (2013). Micro sourcing: The SWOT analysis on the demand, supply and platforms. Proceedings of the IEEE Science and Information Conference, pp. 768-773.

      [9] Baba, Y., Kashima, H., Kinoshita, K., Yamaguchi, G., & Akiyoshi, Y. (2014). Leveraging non-expert crowdsourcing workers for improper task detection in crowdsourcing marketplaces. Expert Systems with Applications, 41(6), 2678-2687.

      [10] Bulloch, G., & Long, J. (2012). Exploring the value proposition for impact sourcing the Buyer’s perspective. https://assets.rockefellerfoundation.org/app/uploads/20120314232314/Exploring-the-Value-Proposition-for-Impact-for-Impact-Sourcing.pdf.

      [11] Dawson, R., & Bynghall, S. (2012). Getting results from crowds: The definitive guide to using crowdsourcing to grow your business. Advanced Human Technologies.

      [12] Djelassi, S., & Decoopman, I. (2013). Customers' participation in product development through crowdsourcing: Issues and implications. Industrial Marketing Management, 42(5), 683-692.

      [13] Fisher, L. (2012). How crowdsourcing is tackling poverty in the developing world. http://www.forbes.com/sites/benkerschberg/2012/03/21/how-crowdsourcing-is-tackling-poverty-in-the-developing-world.

      [14] Hirschheim, R. (2012). Information systems outsourcing: Myths, metaphors and realities. Lousiana State University.

      [15] Hirth, M., Hoßfeld, T., & Tran-Gia, P. (2013). Analyzing costs and accuracy of validation mechanisms for crowdsourcing platforms. Mathematical and Computer Modelling, 57(11-12), 2918-2932.

      [16] Hosseini, M., Phalp, K., Taylor, J., & Ali, R. (2014). The four pillars of crowdsourcing: A reference model. Proceedings of the IEEE Eighth International Conference on Research Challenges in Information Science, pp. 1-12.

      [17] Hossain, M., & Islam, K. Z. (2015). Generating ideas on online platforms: A case study of “My Starbucks Ideaâ€. Arab Economic and Business Journal, 10(2), 102-111.

      [18] Hossain, M., Halonen, R., Hoque, M., Moktanand, G. R., & Ritola, T. (2012). Crowdsourcing: Past present and future. Proceedings of the 5th International Conference for Entrepreneurship, Innovation and Regional Development, pp. 1-2.

      [19] Howe, J. (2006). The rise of crowdsourcing. Wired Magazine, 14(6), 1-4.

      [20] Hoßfeld, T., Hirth, M., & Tran-Gia, P. (2011). Modeling of crowdsourcing platforms and granularity of work organization in future internet. Proceedings of the 23rd International Teletraffic Congress, pp. 142-149.

      [21] Li, Z., & Hongjuan, Z. (2011). Research of crowdsourcing model based on case study. Proceedings of the IEEE 8th International Conference on Service Systems and Service Management, pp. 1-5.

      [22] Lu, B. (2011). Understanding online sourcing decisions from the service clients' perspective: An integrative theoretical framework. PhD thesis, Louisiana State University and Agricultural and Mechanical College.

      [23] Mulero, V., Yoshifumi Masunaga, Y., Hara, T., & Inoue, S. (2013). Crowdsourcing: The art of involving the community in social computing. In Intelligent Information Processing Chances of Crowdsourcing.

      [24] Multimedia Development Corporation (MDeC). (2012). Digital Malaysia lab report. MDeC.

      [25] Multimedia Development Corporation (MDeC). (2013). Microsourcing to generate income to the B40 strategic study. MDeC.

      [26] Fui-Hoon Nah, F., Lee-Shang Lau, J., & Kuang, J. (2001). Critical factors for successful implementation of enterprise systems. Business Process Management Journal, 7(3), 285-296.

      [27] Obal, L. (2006). Microsourcing--using information technology to create unexpected work relationships and entrepreneurial opportunities: Work in progress. Proceedings of the ACM SIGMIS CPR Conference on Computer Personnel Research, pp. 60-62.

      [28] Pan, Y., & Blevis, E. (2011). A survey of crowdsourcing as a means of collaboration and the implications of crowdsourcing for interaction design. Proceedings of the IEEE International Conference on Collaboration Technologies and Systems, pp. 397-403.

      [29] Simula, H., & Vuori, M. (2012). Benefits and barriers of crowdsourcing in B2B firms: Generating ideas with internal and external crowds. International Journal of Innovation Management, 16(06), 1-19.

      [30] Vukovic, M. (2009). Crowdsourcing for enterprises. Proceedings of the IEEE World Conference on Services-I, pp. 686-692.

      [31] Walter, T., & Back, A. (2010). Crowdsourcing as a business model: An exploration of emergent textbooks harnessing the wisdom of crowds. Proceedings of the 23rd Bled eConference eTrust: Implications for the Individual, Enterprises and Society, pp. 555-568.

      [32] Isa, W. A. R. W. M., Lokman, A. M., Aris, S. R. S., Aziz, M. A., Taslim, J., Manaf, M., & Arba'Ai, M. I. F. (2013). Investigating technology readiness of rural community: An analysis of age differences. Proceedings of the IEEE Business Engineering and Industrial Applications Colloquium, pp. 177-182.

      [33] ISA, W., Lokman, A., Aris, S., Aziz, M., Taslim, J., Manaf, M., & Abidin, N. (2010). Rural informatics engineering: Assessing technology readiness of rural community towards implementation of e-learning. Proceedings of the Recent Technological Advances in Education, pp. 21, 26.

      [34] Zakariah, Z., Janom, N., & Arshad, N. H. (2015). Business model of crowdsourcing. Proceedings of the IEEE 6th Control and System Graduate Research Colloquium, pp. 66-69.

      [35] Zakariah, Z., Janom, N., Arshad, N. H., Salleh, S. S., & Aris, S. R. S. (2014). Crowdsourcing: the trend of prior studies. Proceedings of the IEEE 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, pp. 129-133.

      [36] Zakariah, Z., Janom, N., & Arshad, D. D. N. H. (2016). Crowdsourcing business model for low income community: Conceptual model. Proceedings of the IEEE SAI Computing Conference, pp. 1173-1177.

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  • How to Cite

    Zakariah, Z., Janom, N., & Habibah Arshad, N. (2018). Low Income Community as Crowd Worker for Crowdsourcing: Issues, Challenges and Future Direction. International Journal of Engineering & Technology, 7(4.33), 65-70. https://doi.org/10.14419/ijet.v7i4.33.23486

    Received date: 2018-12-08

    Accepted date: 2018-12-08

    Published date: 2018-12-09