LibGuides: BIM400_V2: Module 3 Resources

Module 3 Required Resources

Textbook

Access your textbook via the Bookshelf tab in the top navigation bar of your course.

Textbook:

Wallace, P. (2024). Introduction to information systems (5th ed.). Pearson Education.

Read:

Chapter 7: Business Intelligence and Analytics
Chapter 8: Collaborating with Technology
Chapter 9: Knowledge Management and E-Learning

Chapter 7 explains what business intelligence is, why you need it, where you can find it, and what analytics and decision support tools are available to help you analyze it all. You will also learn how to organize and display the information that is most important, which will help avoid the trap of information overload. Chapter 8 explains what business intelligence is, why you need it, where you can find it, and what analytics and decision support tools are available to help you analyze it all. You will also learn how to organize and display the information that is most important, which will help avoid the trap of information overload. Chapter 9, we learn that the processes of creating, organizing, sharing, and acting on meaningful knowledge are more challenging. The subject of this chapter is how those processes can be accomplished using knowledge management and e-learning.

Module 3 Optional Resources

Effect of Social Media Influencers on Consumer Brand Engagement and its Implications on Business Decision Making
Galdón, J.-L., Gil-Pechuán, I., AlFraihat, S.-F.-A., & Tarabieh, S. M. Z. A. (2024). Effect of Social Media Influencers on Consumer Brand Engagement and its Implications on Business Decision Making. El Profesional de La Información, 33(2), 1–25.
https://revista.profesionaldelainformacion.com/index.php/EPI/article/view/87672/63610
The number of social media users and users accessing different social media platforms is increasing daily. For this reason, social media influencers and content marketing are increasingly important in businesses' marketing strategies. More studies on social media influencers and content marketing still need to be done since they are new concepts.
SMP Challenge: An Overview and Analysis of Social Media Prediction Challenge
Wu, B., Liu, P., Cheng, W.-H., Liu, B., Zeng, Z., Wang, J., Huang, Q., & Luo, J. (2024). SMP Challenge: An Overview and Analysis of Social Media Prediction Challenge. https://dl.acm.org/doi/10.1145/3581783.3613853
Social Media Popularity Prediction (SMPP) is a crucial task that involves automatically predicting future popularity values of online posts, leveraging vast amounts of multimodal data available on social media platforms. Studying and investigating social media popularity has become central to various online applications and requires novel methods of comprehensive analysis, multimodal comprehension, and accurate prediction.