TYPES OF POWER MAPS - CHALLENGES AND LIMITATIONS OF POWER MAPS - Series - 14

 TYPES OF POWER MAPS


1. Explain how business analytics is applied in the retail industry to enhance customer

experience and optimize operations.

. Features: Identify key influencers, decision-makers, resource distribution, and

strategic networks.

. Applications: Aid in campaign strategy, decision-making, resource

management, and collaboration.

. Usage: Employed by advocacy groups, corporate strategists, and social

organizations to enhance decision-making and teamwork.

2. Discuss the challenges faced in implementing business analytics, focusing on data security and privacy concerns.

. Features: Highlight resource wealth, economic hubs, trade routes, and income

disparities.

. Applications: Support macroeconomic planning, global trade strategy, wealth

distribution analysis, and investment planning.

. Usage: Essential for governments and organizations to understand and

strategize economic activities.

3. Describe the role of business analytics in risk management across industries.

. Features: Show biodiversity hotspots, resource exploitation zones,

conservation areas, and pollution sources.

. Applications: Aid in environmental planning, policymaking, activism, and

sustainable resource management.

. Usage: Used by policymakers, activists, and conservationists to protect

ecosystems and plan sustainability efforts.

CHALLENGES AND LIMITATIONS OF POWER MAPS

1) Is power maps uses quantitative or qualitative data? Explain

Power maps uses qualitative data only. Quantifying can be challenging and high prone to error

2) Explain the impact of external environment on power maps?

Changes in political, legal, economic, technological environment might not be reflected

immediately and has adverse impact in future. External environment is considered as an one

of the inherent limitation of power maps.

3) Name 3 challenges of power maps?

. Complexity of Power Dynamics:

Multi-dimensional nature: Power isn't always linear or easily categorized. It can be

fragmented across different groups, sectors, or individuals, making it difficult to

accurately represent on a map.

Shifting power relations: Power structures can be fluid, with alliances and influences

changing over time, so maps may quickly become outdated.

. Data Availability and Accuracy:

Inadequate or biased data: Power maps rely on data that may be incomplete, 

biased, or difficult to access. This can lead to misrepresentations or oversimplified 

depictions.

Qualitative vs. quantitative data: Power is often a qualitative concept, and mapping 

it requires subjective interpretation. Quantifying such intangible concepts can be

challenging and prone to error.

. 3.Subjectivity and Interpretation:

Biases in interpretation: The way power is mapped can be influenced by the

perspective or bias of the creator, leading to skewed representations. What one 

person sees as power in a given context might not align with another’s 

interpretation.

Over-simplification: To make power structures understandable, power maps may

over-simplify complex relationships, missing nuances that would be crucial for a

deeper understanding.

........................To be continued

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