• CASE1: Sport Analytics: Using Open Source Logistic Regression Software to Classify Upcoming Play Type in
the NFL
• CASE2: Project ECHO: Expanding the Capacity of Primary Care Providers to Address Complex Conditions
• CASE 3: The Impact of Big Data Analytics on Firms’ High Value Business Performance
• CASE 4: System Dynamics for Corporate Business Model Innovation
• CASE 5: A decision support system for improved resource planning and truck routing at logistics nodes
QUESTIONS
1. The information systems described in these articles don’t really fall neatly into a single IS category such as
TPS, MIS, DSS, ESS, ERP, SCM, CRM, KMS, collaboration environments, GIS, GDSS, etc. Rather, most
seem to possess functionalities from more than one category. Identify and discuss the multiplicity of these
categories for each system.
(As a hypothetical example, one particular article may describe a system that primarily appears to be a DSS for
mid-to-upper-level managers working in finance and accounting, with other functionalities that resemble an MIS
designed for lower-to-mid-level managers in sales and marketing. Your answer will need more elaboration and
discussion, of course.)
2. Each system assists its respective users with decision-making in their work environments. In what stage(s)
of their decision-making (Figure 12-2 in the textbook) does it provide them with assistance — intelligence stage,
design stage, choice stage, and/or implementation stage? Discuss and justify your answer.
(Address how each completed, implemented system provides assistance to its users in their decision-making
tasks, not the process by which the system was conceived/designed/acquired/built.)
3. Each system is probably interconnected/linked to other information systems in its organization. Although the
articles themselves do not address this aspect, from your understanding of organizations, business processes,
and systems, describe some possible/likely examples of such interconnections for each system. Explain your
reasoning, while explicitly stating any assumptions.