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A Flexible Approach Towards Effective Teaching: Use of Social Media by Teachers

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Abstract

The flexibility, charm and ease that social media provides, has made it one of the most inevitable aspects of virtually every industry. The teaching profession is also fast reaping on the benefits that social media can harvest. However, in the Indian scenario, the teachers still have to go a long way to overcome their apprehensions regarding the usage of social media in teaching. For achieving the same, there is a critical need to understand the enablers of social media usage and the interplay among them to identify the strongest drivers. The methodology of interpretive structural modelling and fuzzy matriced’ impacts croises multiplication appliquee aun classement have been applied in this paper to understand and establish the different variables impacting social media usage and their inter-relationships. The strongest and the weakest variables for social media usage were identified along with their quantitative possibility of influence. The findings of the paper can provide important guidelines for the practitioners as well as the academicians alike. The management need to emphasize more on variables with high driving power in order to achieve the flexibility in teaching through social media. For the academicians, the study provides a platform to analyse the detailed relationship of these variables with social media usage.

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References

  • Amichai-Hamburger, Y., & Vinitzky, G. (2010). Social network use and personality. Computers in Human Behavior, 26(6), 1289–1295.

    Article  Google Scholar 

  • Banerjee, N., & Dey, A. K. (2013). Identifying the factors influencing users’ adoption of social networking websites—a study on facebook. International Journal of Marketing Studies, 5(6), 109–121.

    Article  Google Scholar 

  • Belanger, F., Hiller, J., & Smith, W. (2002). Trustworthiness in electronic COMMERCE: The role of privacy, security, and site attributes. Journal of Strategic Information Systems, 11(3), 245–270.

    Article  Google Scholar 

  • Bolton, R. N., Parasuraman, A., Hoefnagels, A., Migchels, N., Kabadayi, S., Gruber, T., & Solnet, D. (2013). Understanding generation Y and their use of social media: A review and research agenda. Journal of Service Management, 24(3), 245–267.

    Article  Google Scholar 

  • Brosdahl, D., & Carpenter, J. (2011). Shopping orientations of US males: A generational cohort comparison. Journal of Retailing and Consumer Services, 18, 548–554.

    Article  Google Scholar 

  • Bryant, E., & Marmo, J. (2012). The rules of facebook friendship: A two stage examination of interaction rules in close, casual and acquaintance friendships. Journal of Social and Personal Relationships, 1–23.

  • Capua, I. D. (2012). A literature review of research on facebook use. The Open Communication Journal, 6, 37–42.

    Article  Google Scholar 

  • Chen, R., & Sharma, S. K. (2013). Self-disclosure at social networking sites: An exploration through relational capitals. Information Systems Frontiers, 15(2), 269–278.

    Article  Google Scholar 

  • Cheung, C. M., Chiu, P.-Y., & Lee, M. K. (2011). Online social networks: Why do students use facebook? Computers in Human Behavior, 27, 1337–1343.

    Article  Google Scholar 

  • Curran, J., & Lennon, R. (2011). Participating in the conversation: Exploring adoption of online social media networks. Academy of Marketing Studies Journal, 15(1), 21–38.

    Google Scholar 

  • Daugherty, T., Eastin, M., & Gangadharbatla, H. (2005). CRM: Understanding internet confidence and implications for customer relationship management. In V. Harrisonburg (Ed.), Advances in electronic marketing (pp. 67–82). Hershey: Idea Group Publishing.

    Chapter  Google Scholar 

  • Dubey, R., & Ali, S. S. (2014). Identification of flexible manufacturing system dimensions and their interrelationship using total interpretive structural modelling and fuzzy MICMAC analysis. Global Journal of Flexible Systems Management, 15(2), 131–143.

    Article  Google Scholar 

  • Gangadharbatla, H. (2008). Collective self-esteem, need to belong, and internet self-efficacy as predictors of the igeneration’s attitudes toward social networking sites. Journal of Interactive Advertising, 8(2), 5–15.

    Article  Google Scholar 

  • Gorane, S., & Kant, R. (2013). Modelling the SCM enablers: An integrated ISM-fuzzy MICMAC approach. Asia Pacific Journal of Marketing and Logistics, 25(2), 263–286.

    Article  Google Scholar 

  • Griffith, S., & Liyanage, L. (2008). An introduction to the potential of social networking sites in education. Wollongong: Proceedings of the emerging technologies conference, University of Wollongong.

  • Hogg, M. A., & Terry, D. I. (2000). Social identity and self-categorization processes in organizational contexts. Academy of Management Review, 25(1), 121–140.

    Google Scholar 

  • Joinson, A. (2008). Looking at’, ‘looking up’ or ‘keeping up with’ people? Motives and uses of Facebook. Florence: CHI.

    Google Scholar 

  • Kandasamy, W. (2007). Elementary fuzzy matrix, theory and fuzzy models for social scientists. Los Angeles, CA: Proquest Information and Learning (University of Microfilm International).

    Google Scholar 

  • Kant, R., & Singh, M. (2008). Knowledge management barriers: An interpretive structural modeling. International Journal of Management Science and Engineering Management, 3(2), 141–150.

    Google Scholar 

  • Lampe, C., Ellison, N., & Steinfield, C. (2006). A Face(book) in the crowd: Social searching versus social browsing. New York: ACM Press.

    Book  Google Scholar 

  • Lenhart, A., & Madden, M. (2008). Social networking websites and teens: An overview. NewYork: Pew Internet & American Life Project.

    Google Scholar 

  • Lo, J. (2010). Privacy concern, locus of control, and salience in a trust-risk model of information disclosure on social networking sites. AMCIS 2010 Proceedings.

  • Mandal, A., & Deshmukh, S. (1994). Vendor selection using interpretive structural modeling (ISM). International Journal of Operations and Production Management, 14(6), 52–59.

    Article  Google Scholar 

  • Mani, V., Agrawal, R., & Sharma, V. (2015). Impediments to social sustainability adoption in the supply chain: An ISM and MICMAC analysis in Indian manufacturing industries. Global Journal of Flexible Systems Management, 1–22.

  • Martin, G., Parry, E., & Flowers, P. (2013). Implementing social media in organizations: A process. Unpublished.

  • Mazer, J., Murphy, R., & Simonds, C. (2007). I’ll see you on “facebook”: The effects of computer-mediated teacher self-disclosure on student motivation, affective learning, and classroom climate’. Communication Education, 56(1), 1–17.

    Article  Google Scholar 

  • Mellins, M. (2008). The female vampire community and online social networks: Virtual celebrity and mini communities: Initial thoughts. International Journal of Media and Cultural Politics, 4(2), 254–258.

    Article  Google Scholar 

  • Newness, K., Steinert, J., & Viswesvaran, C. (2012). Effects of personality on social network disclosure: Do emotionally intelligent individuals post inappropriate content? Psychological Topics, 21(3), 473–486.

    Google Scholar 

  • Prensky, M. (2001). Digital natives, digital immigrants. On the Horizon, 9(5), 1–6.

    Article  Google Scholar 

  • Ravi, V., & Shankar, R. (2005). Analysis of interactions among the barriers of reverse logistics. Technological Forecasting and Social Change, 72, 1011–1029.

    Article  Google Scholar 

  • Ridings, C. M., & Gefen, D. (2004). Virtual community attraction: Why people hang out online. Journal of Computer-Mediated Communication, 10(1).

  • Sage, A. (1977). Interpretive structural modelling: Methodology for large-scale systems. New York: McGraw-Hill.

    Google Scholar 

  • Scheepers, H., Scheepers, R., Stockdale, R., & Nurdin, N. (2014). The dependent variable in social media use. Journal of Computer Information Systems, 54(2), 25–34.

    Google Scholar 

  • Seckor, J. (2005). ‘Case Study 5: Libraries and Facebook, London School of Economics and Political Science. Retrieved May 20, 2015, from http://clt.lse.ac.uk/Projects/Case_Study_Five_report.pdf.

  • Sheldon, P. (2008). The relationship between unwillingness-to-communicate and students’ facebook use. Journal of Media Psychology: Theories, Methods, and Applications, 20, 67–75.

    Article  Google Scholar 

  • Sinclaire, J. K., & Vogus, C. E. (2011). Adoption of social networking sites: An exploratory adaptive structuration perspective for global organizations. Information Technology Management, 12, 293–314.

    Article  Google Scholar 

  • Srinivasan, S. (2004). Role of trust in ebusiness success. IMCS, 12(1), 66–72.

    Google Scholar 

  • Stern, L. A., & Taylor, K. (2007). Social networking on facebook. Journal of the Communication, Speech and Theatre, 20, 9–20.

    Google Scholar 

  • Sushil (2012). Interpreting the interpretive structural model. Global Journal of Flexible Systems Management, 13(2), 87–106.

    Article  Google Scholar 

  • Teo, T. (2001). Demographic and motivation variables associated with internet usage activities. Internet Research, 11(2), 125–137.

    Article  Google Scholar 

  • Thelwall, M., Wilkinson, D., & Uppal, S. (2010). Data mining emotion in social network communication: Gender differences in MySpace. Journal of the American Society for Information Science and Technology, 61(1), 190–199.

    Article  Google Scholar 

  • Tripathy, S., Sahu, S., & Ray, P. K. (2013). Interpretive structural modelling for critical success factors of R&D performance in Indian manufacturing firms. Journal of Modelling in Management, 8(2), 212–240.

    Article  Google Scholar 

  • Tynes, B. (2007). Internet safety gone wild? Journal of Adolescent Research, 22(6), 575–584.

    Article  Google Scholar 

  • Urista, M., Dong, Q., & Day, K. (2009). Explaining why young adults use MySpace and facebook through uses and gratifications theory. Human Communication, 12(2), 215–229.

    Google Scholar 

  • Vasalou, A., Joinson, A., & Courvoisier, D. (2010). Cultural differences, experience with social networks and the nature of “true commitment” in facebook. International Journal of Human-Computer Studies, 68, 719–728.

    Article  Google Scholar 

  • Warfield, J. (1974). Developing interconnected matrices in structural modelling. IEEE Transactions on Systems Men and Cybernetics, 4(1), 51–81.

    Google Scholar 

  • Wellman, B., & Gulia, M. (1999). Net surfers don’t ride alone: Virtual communities as communities. In B. Wellman (Ed.), Networks in the global village. Boulder: Westview Press.

    Google Scholar 

  • Yang, C.-C., & Brown, B. B. (2015). Factors involved in associations between facebook use and college adjustment: Social competence, perceived usefulness, and use patterns. Computers in Human Behavior, 46, 245–253.

    Article  Google Scholar 

  • Zywica, J., & Danowski, J. (2008). The faces of facebookers: Investigating social enhancement and social compensation hypotheses; predicting facebook™ and offline popularity from sociability and self-esteem, and mapping the meanings of popularity with semantic networks. Journal of Computer-Mediated Communication, 14, 1–34.

    Article  Google Scholar 

Download references

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Authors and Affiliations

  1. School of Management, The Northcap University (Formerly ITM University), Gurgaon, Haryana, India

    Irameet Kaur, Charu Shri & K. M. Mital

  2. Knowledge Podium Systems Pvt. Ltd., Dehradun, India

    K. M. Mital

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  1. Irameet Kaur
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  2. Charu Shri
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  3. K. M. Mital
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Correspondence to Irameet Kaur.

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Kaur, I., Shri, C. & Mital, K.M. A Flexible Approach Towards Effective Teaching: Use of Social Media by Teachers. Glob J Flex Syst Manag 16, 391–403 (2015). https://doi.org/10.1007/s40171-015-0113-1

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  • DOI: https://doi.org/10.1007/s40171-015-0113-1

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