The dependent and the independent variables for the quick reach of the OLA cabs are found out and listed. Business research is made and the predictions are made.

1. REACH OF OLA
REASON & PREDICTION
Suryakumar.T-14MBA1073
VIT Business School

2. Dependent Variables
• Location-Metro & Urban Areas.
• Service Quality

3. Independent Variables
• Traffic Conditions.
• Taxi Availability.
• Count of Customers.
• Responsiveness
• Reliability

4. Items/Questionnaire
Dependent Variable
• Location
1. Road Conditions . Good Bad
2. Congestion of Traffic. High Medium Low
3. Spatial Arrangements depending upon region. Available Not Available
4. Accessibility. High Medium Low

5. • Service Quality
1. Responsiveness-Convenience High Low
2. Cleanliness, Comfort (Low)1 2 3 4 5 (High)
3. Safety (Low)1 2 3 4 5 (High)
4. Flexibility High Low
Dependent Variable

6. Independent Variables-Items
• Traffic Condition
Peak hours SA A NA-NDA DA SDA
One way traffic movement
Weekend
• Responsiveness
Speed of Driver Fast Medium Slow
Closeness of Cab Far Close
Cab Status Available Not Available

7. Independent Variables-Items
• Reliability
Experience of driver
Knowledge of driver over routes
OLA Intermediary
• Taxi Availability
Count of cabs High Medium Low
Status of cabs Near Far
SA A NA-NDA DA SDA

8. Independent Variable-Items
• Count of Customers
Time frame 8am -12pm 12pm-4pm 4pm-8pm 8pm-12am
Location Within City Outside City
Pricing and offers Low Range High Range

9. DESCRIPTION
• DEPENDENT VARIABLES :
LOCATION – NON-METRIC, ORDINAL AND NON-METRIC,
NOMINAL.
SERVICE QUALITY – NON METRIC, ORDINAL

10. INDEPENDENT VARIABLES
TRAFFIC CONDITIONS – NON-METRIC, ORDINAL
RESPONSIVENESS – NON-METRIC, ORDINAL AND NON-METRIC, NOMINAL
RELIABILITY – NON-METRIC, ORDINAL
TAXI AVAILABILITY – NON-METRIC, NOMINAL AND NON-METRIC, ORDINAL
COUNT OF CUSTOMERS - NON-METRIC, NOMINAL AND NON-METRIC,
ORDINAL