Research Topic/Title of Proposal: The Impact of Sporting Events on Local Tourism: A Quantitative Study
Key Components:
a. Fundamentals:
i. Quantitative research : The research will use a quantitative methodology to gather data and analyze
the relationship between sporting events and local tourism.
ii. Applied research : The research aims to provide practical insights into how sporting events can affect
tourism in local communities.
iii. Predictive research: Predictive research will be conducted to examine the potential impact of
sporting events on local tourism in the future.
iv. Primary data sources : The research will collect primary data through a survey administered to
tourists who attend sporting events.
b. Unit of Analysis: Tourists visiting a particular city for a sporting event
c. Problem Statement: Despite the widely-discussed relationship between sporting events and local
tourism in literature, there is a lack of empirical research that comprehensively examines the impact of
sporting events on local tourism. This research gap is particularly concerning given the significant
economic, social, and environmental implications of sporting events on local communities and the
tourism industry.
d. Statement of Purpose: The purpose of this study is to quantitatively examine the impact of sporting
events on local tourism, with a specific focus on identifying the economic, social, and environmental
impacts. By doing so, this study seeks to provide evidence-based insights into the potential benefits and
drawbacks of hosting sporting events for local tourism, and to inform tourism policy and planning in a
manner that supports sustainable tourism development.
e. Statement of Significance: Understanding the impact of sporting events on local tourism is crucial to
the sustainable development of the tourism industry, as well as to the economic and social wellbeing of
local communities. Sporting events have the potential to attract significant numbers of tourists and
generate substantial economic benefits for host communities. However, the environmental and social
costs of hosting sporting events cannot be ignored. By providing empirical evidence on the impact of
sporting events on local tourism, this study can help to inform tourism policy and planning that
maximizes the benefits of hosting sporting events while minimizing any potential negative impacts.
f. Research Question: What is the relationship between sporting events and local tourism, and what are
the economic, social, and environmental impacts of sporting events on local tourism?
i. Hypothesis: Sporting events have a positive impact on local tourism, including economic, social, and
environmental impacts. Specifically, this study hypothesizes that hosting sporting events will lead to
increased tourist spending, heightened tourism awareness and branding, improved local infrastructure
and facilities, and enhanced community spirit and social cohesion. However, the study also
acknowledges the potential environmental costs of hosting sporting events, such as increased traffic and
waste, and the need for effective management and planning to mitigate these impacts.
g. Theoretical Framework or Conceptual Model: The conceptual framework for this study is based on the
tourism area life cycle (TALC) model, which suggests that sporting events can act as a catalyst for
tourism development and have positive impacts on the local economy. The TALC model also highlights
the potential for negative environmental and social impacts associated with tourism development, and
emphasizes the importance of sustainable tourism development practices.
h. Variables:
i. Dependent: Local tourism
ii. Independent: Sporting events
iii. Intervening: None
i. Sampling Technique: Convenience sampling
Specific Research Design:
a. Specific Qualitative Design: N/A
b. Specific Quantitative Design: Survey research
c. Specific Mixed-Method Design: N/A
Integrity and Rigor:
a. Qualitative Designs: N/A
b. Quantitative Designs: Internal validity criteria: manipulation check, statistical conclusion validity,
construct validity; External validity criterion: population validity; Sampling error criterion: non-response
bias.
Internal validity criteria, such as manipulation check, statistical conclusion validity, and construct
validity, are important in quantitative designs because they ensure that the study is measuring what it
intends to measure, and that the conclusions drawn from the data are accurate and valid. For example,
a manipulation check ensures that the independent variable is being manipulated as intended, while
statistical conclusion validity ensures that the statistical analysis used is appropriate for the data and
that the results are not due to chance. Construct validity, on the other hand, ensures that the measures
used in the study are actually measuring the constructs of interest.
External validity criterion, such as population validity, is important in quantitative designs because it
ensures that the results can be generalized to the population of interest. For example, if a study is
conducted on a sample of tourists visiting a particular city for a sporting event, the results need to be
generalizable to all tourists visiting all cities for sporting events.
Sampling error criterion, such as non-response bias, is important in quantitative designs because it
ensures that the sample is representative of the population of interest. If there is non-response bias, the
sample may not be representative, which can affect the generalizability of the results.
c. Mixed-Methods: N/A
References:
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Kim, K., Gursoy, D., & Lee, S. (2019). Examining the impacts of sport events on host community tourism:
A conceptual model. Journal of Travel Research, 58(1), 96-111.
Wang, D., Li, X., & Liang, X. (2018). The impacts of mega-sporting events on tourism in host cities.
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Xiang, Z., Du, Q., Ma, Y., & Fan, W. (2017). A comparative analysis of major online review platforms:
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