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646                                         Syamimi (2022)


               5.1.3 The relationship between informative value content post and customer engagement on social media

               In this analysis, CT refers to content that should be specially formatted to meet the unique needs of customers during every stage
               of their journey either using pictures or video. Results in this study suggest that CT is not significant to motivate customers to
               engage on Instagram. For this reason, the action of the user is confusing through content with sales pitches, this means the company
               needs to use content to educate them before the company ever have the opportunity to connect because, by the time they’re ready
               to buy, they already know more or less what they’re looking for.


               5.2 Limitation of The Study

               This study aims to identify the factors that influence customer engagement and pharmaceutical products among Instagram users.
               Due to the lack of dissemination posts, only on some social media can I convey to find Instagram users to be respondents. The
               results of this study can illustrate the involvement of customers in the behavior of Instagram users in Malaysia because users do
               not look solely at the material posted by the pharmaceutical product page. Respondents were also mostly composed of university
               students,  which  may  raise  statistically  accurate  concerns.  Logically  every  category  of  education  and  occupation  was  also
               represented but I did not manage to record any respondents. For this purpose, the general inability to yield is limited.

               The quantitative approach used in this study worries every researcher whether our target really takes seriously the  study conducted
               causing the data to be unfair and this affects the findings of the study. Although there are certain limitations faced by the researchers
               in this study, there is not much impact on the results of this study. Instead, these constraints serve as a platform for prospective
               researchers to improve their results. The application of qualitative methods to further strengthen the results of this study should be
               considered for future studies.


               5.3 Recommendations for Future Research

               Future studies may require more respondents by using factors other than those used in this study because the results of the study
               show that the selected factors do not cause users to be attracted to the content and also the model used in this analysis can be used
               to  some  extent  with  the  purpose  of  continuous  use.  and  compare  the  more  effective  findings.  In  addition,  only  133  sets  of
               questionnaires were obtained due to the short time I was able to give to the respondents. In order to obtain more reliable and
               applicable data for researchers, it is recommended to increase the sample size that is the number of respondents for future studies.
               As a result, this will enhance the reputation of the research in a better direction.


                 6.0 REFERENCES

               Aydin, G. (2020). Social media engagement and organic post effectiveness: A roadmap for increasing the effectiveness of social
               media use in hospitality industry. Journal of Hospitality Marketing & Management, 29(1), 1-21.

               Banerjee, A., & Chaudhury, S. (2010). Statistics without tears: Populations and samples. Industrial psychiatry journal, 19(1), 60.

               Barnhart,  B.  31  May  2019.  How  the  Facebook  algorithm  works  and  ways  to  outsmart  it.  Sprout  Blog.  URL:
               https://sproutsocial.com/insights/facebook-algorithm/ Accessed: 22 October 2019.

               Bruhn, M., Schoenmueller, V. and Schäfer, D. B. (2012) "Are social media replacing traditional media in terms of brand equity
               creation?", Management Research Review, Vol. 35 No. 9, pp. 770-790.

               Bun, S., & Alversia, Y. (2020, December). Incentives and Food Blogger Influence on Customer Engagement through Instagram.
               In The International Conference on Business and Management Research (ICBMR 2020) (pp. 21-28). Atlantis Press.


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