5) Competitor Analysis Flashcards
According to Wilson and Gilligan(1997) competitor analysis has three roles:
- to help management understand their competitive advantages and disadvantages relative to competitors
- to generate insights into competitors past, present and potential strategies
- to give an informed basis for developing future strategies to sustain or establish advantages over competitors
In Porters competitor analysis framework, he suggests four key aspects:
1) identifying a competitor’s strategy
2) identifying a competitor’s objectives
3) identifying a competitor’s assumptions about the industry
4) identifying the competitors resources and capabilities
The Boston Consulting Group (BCG) model:
Diagram on pg 161
Limitations of the BCG model:
- simplistic - only considers two variables
- connection btn market share and cost saving is not strong
- cash cows do not always generate cash
- fail to consider creation
Identify the four levels of competitors according to Kotler (2008):
- brand competitors
- industry competitors
- form competitors
- generic competitors
The extent to which competitors pose a threat to the firm depends on:
- number of rivals and the extent of differentiation in the market.
- entry and mobility barriers
- cost structure
- degree of vertical integration
You need to understand what competitors are offering so that you can offer at least as much to the customers. To do this competitor information must be collected. Types of information:
- competitors strategy
- competitors goals and objectives
- competitors products and services
- competitors resources and capabilities
Fleisher and Bensoussan (2002) give a full listing of the info than an organization should gather about their competitors. The broad headings are as follows:
- products and services
- marketing
- Human resources
- operations
- management profiles
- sociopolitical
- technology
- organizational structure
- competitive intelligence capacity
- strategy
- customer value analysis
- financial
There are a range of different sources of information available to organizations undertaking competitor analysis, for example:
- website of competitor
- annual reports and accounts of competitors
- newspaper articles and online data sources on company
- magazines and journals
- directories and yearbooks covering particular industries
- becoming a customer of the competitor
Types of information to collect on competitors, categorized by Tudor (1992):
1) primary resources
2) secondary resources
3) computer-based information
What is qualitative research and how is it undertaken?
Qualitative research involves the collection of non-numerical data. It investigates more the why decisions rather than the what, where and when.
It is used to gain insight into people’s attitudes and behaviors.
It is undertaken through:
- observation
- interviews
- focus groups
- analysis
What is quantitative research?
Quantitative research tries to answer the what, where and when questions. The answers to these questions will be factual and numerical, eg statistical methods such as ratios and trend analysis.
Once you have assembled detailed information about your competitors, you can benchmark your performance against theirs.
List the strategic benchmarks?
List the functional benchmarks and draw the diagram?
Strategic benchmarks:
- market share
- return on assets
- gross profit margin on sales
Functional benchmarks:
- % deliveries on time
- order costs per order
- order turnaround time
- average stockholding per order
Diagram: pg 172
What is big data? And what is big data management?
Big data is large volumes of data beyond the normal processing, storage and analysis capacity of typical data base tools. Big data will often include much more than simply financial info and can involve other organizational data which is operational in nature along with other internal and external data which is often unstructured in form.
Big Data Management is the storage, administration and control of these vast quantities of both structured and unstructured data. The main aim of Big Data Management is to ensure the data stored is high quality and accessible.
The three V’s: the defining characteristics of Big Data
- Velocity
- Volume
- Variety