THE EFFECT OF USING INSTAGRAM'S SOCIAL MEDIA FEATURES ON INCREASING BUSINESS ORGANIZATIONS
DOI:
https://doi.org/10.53625/jcijurnalcakrawalailmiah.v2i9.5794Keywords:
Instagram, Social Media, Features, Business Organizations, GescaAbstract
Social media was created from two operating words - social and media. Social, in this context, means interaction between individuals who share the same interests, groups, or even communities. Media as the name suggests, is a medium, channel, or platform that enables the creation and exchange of user-generated content. Social media is less than two decades in existence but has become widely accepted. Building relationships and interactions is the main reason for the adoption of social media networks by individuals, however, organizations capitalize on the ubiquitous use of these sites and view them as platforms that directly interact with existing and new customers for their goods and services. One of the image-based social media that can act in the business process is Instagram. Instagram features that will be tested include hashtags in captions, live Instagram, drop questions and vote. One of the features, namely voting on snapgrams on Instagram, is a phase pattern. The use of this feature will provide a decision for business organizations in making decisions from various options available to improve organizational performance
References
Ferwerda, B., & Tkalcic, M. (2018). Predicting Users’ Personality from Instagram Pictures.
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization - UMAP ’18, (July), 157–161. https://doi.org/10.1145/3209219.3209248
Chou, a Y., & Chou, D. C. (2009). Information system characteristics and social network software adoption. Proceedings of the SWDSI Conference, 335–343.
Dou, Y., Niculescu, M. F., & Wu, D. J. (2012). Engineering {Optimal} {Network} {Effects} via {Social} {Media} {Features} and {Seeding} in {Markets} for {Digital} {Goods} and {Services}. Information Systems Research, 24(1), 164–185. https://doi.org/10.1016/j.ophtha.2015.06.013
Torres, J. A., Montoya, L., & Potes, P. (2018). Behind the likes, content and brand on Instagram, (April). https://doi.org/10.14349/sumneg/2018.V9.N19.A3
Lestari, S., & Aldianto, L. (2016). Effect of Using Hashtag , Celebrity Endorsement , and Paid Promote To Achieve Promotion Objective in Instagram ; Case Study : Women Fashion Brand. The Journal of Innovation and Entrepreneurship, 1(1), 1–7.
Roth, A., & Zawadzki, T. (2018). Instagram as a tool for promoting superfood products. Annals of Marketing Management & Economics, 4(January), 101–113. https://doi.org/10.22630/AMME.2018.4.1.8
Harri Oinas-Kukkonen, Kalle Lyytinen, & Youngjin Yoo. (2010). Social Networks and Information Systems: Ongoing and Future Research Streams. Journal of the Association for Information Systems, 11(2), 61–68. https://doi.org/10.1056/NEJMcp1412935
Enríquez, F., Troyano, J. A., & Romero-Moreno, L. M. (2018). Using a business process management system to model dynamic teaching methods. Journal of Strategic Information Systems, (June), 1–17. https://doi.org/10.1016/j.jsis.2018.07.002
Dong, J. Q., & Wu, W. (2015). Business value of social media technologies: Evidence from online user innovation communities. Journal of Strategic Information Systems, 24(2), 113–127. https://doi.org/10.1016/j.jsis.2015.04.003
(Derek) Du, W., & Mao, J. Y. (2018). Developing and maintaining clients’ trust through institutional mechanisms in online service markets for digital entrepreneurs: A process model. Journal of Strategic Information Systems, (xxxx), 1–15. https://doi.org/10.1016/j.jsis.2018.07.001
Nam, D., Lee, J., & Lee, H. (2018). Business analytics use in CRM: A nomological net from IT competence to CRM performance. International Journal of Information Management, (96), 0–1. https://doi.org/10.1016/j.ijinfomgt.2018.01.005
Suseno, Y., Laurell, C., & Sick, N. (2018). Assessing value creation in digital innovation ecosystems: A Social Media Analytics approach. Journal of Strategic Information Systems, (xxxx), 0–1. https://doi.org/10.1016/j.jsis.2018.09.004
Shirdastian, H., Laroche, M., & Richard, M. O. (2017). Using big data analytics to study brand authenticity sentiments: The case of Starbucks on Twitter. International Journal of Information Management, (September), 0–1. https://doi.org/10.1016/j.ijinfomgt.2017.09.007
Spagnoletti, P., Resca, A., & Sæbø, Ø. (2015). Design for social media engagement: Insights from elderly care assistance. Journal of Strategic Information Systems, 24(2), 128–145. https://doi.org/10.1016/j.jsis.2015.04.002
Jeong, B., Yoon, J., & Lee, J. M. (2017). Social media mining for product planning: A product opportunity mining approach based on topic modeling and sentiment analysis. International Journal of Information Management, (September), 0–1. https://doi.org/10.1016/j.ijinfomgt.2017.09.009
Chang, Y. C., Ku, C. H., & Chen, C. H. (2017). Social media analytics: Extracting and visualizing Hilton hotel ratings and reviews from TripAdvisor. International Journal of Information Management, (September), 0–1. https://doi.org/10.1016/j.ijinfomgt.2017.11.001
Kuegler, M., Smolnik, S., & Kane, G. (2015). What’s in IT for employees? Understanding the relationship between use and performance in enterprise social software. Journal of Strategic Information Systems, 24(2), 90–112. https://doi.org/10.1016/j.jsis.2015.04.001
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