Sammenlign metoder

	SPLISS Framework	Sport Event Economic Impact Analysis
Fagområde	Sport Leisure Studies	Sport Leisure Studies
Familie	Process / pipeline	Process / pipeline
Oprindelsesår	2006	1995
Ophavsperson	Veerle De Bosscher and colleagues	John L. Crompton
Type	Benchmarking framework for elite sport policy and international success	Input-output multiplier pipeline for event-attributable spending
Oprindelig kilde	De Bosscher, V., De Knop, P., van Bottenburg, M., & Shibli, S. (2006). A Conceptual Framework for Analysing Sports Policy Factors Leading to International Sporting Success. European Sport Management Quarterly, 6(2), 185-215.	Crompton, J. L. (1995). Economic impact analysis of sports facilities and events: Eleven sources of misapplication. Journal of Sport Management, 9(1), 14-35.
Aliasser	Sports Policy Factors Leading to International Sporting Success, Nine Pillars Model, Elite Sport Policy Benchmarking, De Bosscher Nine Pillars	Event Economic Impact Study, Visitor Spending Multiplier Analysis, Sport Tourism Impact Assessment, Input-Output Event Analysis
Relaterede	3	3
Resumé	The SPLISS framework -- Sports Policy factors Leading to International Sporting Success -- is a benchmarking model that explains why some nations win more international medals than others by examining the policies their elite sport systems put in place. Developed by Veerle De Bosscher and colleagues, it treats sporting success as the output of a system that converts financial inputs into results through a set of policy processes, organized into nine interconnected pillars: funding, an integrated governance approach, sport participation, talent identification and development, athletic and post-career support, training facilities, coaching provision, (inter)national competition, and scientific research and innovation. Each pillar is broken down into roughly a hundred critical success factors that can be scored, allowing countries to be benchmarked against one another and against best practice to diagnose the strengths and weaknesses of their elite sport policy.	Sport event economic impact analysis estimates the economic activity a region gains from hosting an event by tracing the new spending that visitors inject and propagating it through the local economy with input-output multipliers. John Crompton's foundational 1995 paper in the Journal of Sport Management is as much a warning as a method: it catalogued eleven recurring sources of misapplication — counting local residents' spending, using sales rather than income multipliers, ignoring time-switchers and casuals, omitting costs and opportunity costs — that systematically inflate headline numbers. His 2006 follow-up was blunter still, framing many impact studies as instruments for political shenanigans designed to justify subsidies rather than to find economic truth. Done correctly, the method isolates genuinely new, event-attributable spending by non-locals, applies an appropriate income multiplier, and nets out the public costs and displacement that boosters routinely ignore.