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Business Strategy and Data Analytics QUESTIONS AND VERIFIED CORRECT ANSWERS .

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Business Strategy and Data Analytics QUESTIONS AND VERIFIED CORRECT ANSWERS .Business Strategy and Data Analytics QUESTIONS AND VERIFIED CORRECT ANSWERS .

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Business Strategy and Data Analytics
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1) return (price new - price old)/price old


2) expected return -mean adjusted return (return - average of estimation window)
-market model (return - market index benchmark return)
-fama french model


2.Fit of market and resources Market Based View (outside in)+Resource based view (inside out) =Dynamic
perspective on markets and resources for competitive survival
''Strategy is About Creating a Dynamic "Fit" Between
theCompany and Its Environment''


3) Abnormal returns




3. Being different and making choices Strategy is About Being Different and Choosing What to Do, and What Not to Do




4. Path to a destination Strategy Pursues the Achievement of a Desired Long-TermAspiration - It Is a
Means to an End


A Company's Vision, Mission, and Values Represent Its FundamentalStrategic
Intent and Identity Which Guide Strategy Formulation

, 5. Consistency in behaviour Strategy is Consistency in Behavior, Whether Intended(Deliberate) Or Not
Intended (Emergent)




5 P's of Strategy in hierarchical order 1. Perspective
2. Position
3. Plan (Ploy)
4. Pattern


5 Stages of market research project 1. Problem Definition
2. Project Design
3. Data collection
4. Analysis and Interpretation
5. Decision and actions




6. Multiple Level and theme alignment Strategy Is the "Symphony" That Results from Multiple Areasvand Strategic Themes
in an Organization




Advantages and Disadvantages Linear Model can be estimated easily, BUT the constant returns are unrealistic. Also assumption
that sales can indefinitely be increased is unrealistic


Advantages and Disadvantages Modified Exponential Saturation level, reflects realistic customer behaviour
Model


Advantages and Disadvantages Multiplicative and Semi diminishing returns are more realistic, easy linearization through log, BUT there is
Logarithmic Model no saturation level (unrealistic)
(both have concave shape)


advantages of investigating stock data easily available, events of firms can be evaluated, daily data, forward looking
(unlike sales which is backwards looking)


Age consistency trap (is participant distracted) ask for birthday and age


Analysis and interpretation steps 1. what method will be used to analyze results
2. what kind of visualization will be used and communicate results
3. what are the links between empirical inferences and actions


anthropomorhphic chatbot human like robot, where angry customers report lower customer satisfaction,
lower evaluation of firm, lower future purchase indication

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