Rapid Evidence Meta-Analysis, REMA; Why Corporate Strategists and Business Research Require Speed and Recency

Hathaway, John P and Maher, Kevin (2020) Rapid Evidence Meta-Analysis, REMA; Why Corporate Strategists and Business Research Require Speed and Recency. In: SSERS 2nd International Conference on Human Capital, 19 - 20 December 2020, Online.

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Abstract

Making decisions is one of the key activities of managers and professional bodies such as the Chartered Institute of Personnel and Development, CIPD, have recognised the importance of data led decision making through the application of rapid evidence meta-analysis techniques, REMA. Rapid reviews offer a variation on the standard systematic review process where the timeframe for completion can be reduced to weeks instead months or years, Gannan, et al. (2010). However, whilst the term rapid implies speed of completion, the meta content is often derived from academic sources that are at best 12 months old and at worst much older still. The conundrum for the manager looking for data and information therefore is to either approach the subject matter and material through the rigorous peer reviewed process and risk using data that is too old, or to use less academic and non-peer reviewed material that is more contemporary and current thus devaluing the quality of the data, Harker and Kleijnen (2012). To address this issue a different approach to the REMA methodology is proposed where the process, rapid evidence, and content, meta-data, is developed using an online web-based methodology. The study first attempt to isolate a specific strategic decision based on a time limited scenario of initial public offering of shares before collating and analysing data using a ‘soft’ REMA methodology that uses non-quantitative data. The study then predicts a future scenario where the share price will either rise or fall based on the data analysed thus allowing, in theory, the strategist to make their decision based on the REMA methodology. Results show a positive correlation where the accuracy of the predicted share price movement provides both a positive financial return and above average forecast accuracy of investment forecast.

Item Type:	Conference or Workshop Item (Paper)
Keywords:	Rapid Evidence, Meta-analysis, Soft, Research, Timeliness, Recency, Investment
Depositing User:	RED Unit Admin
Date Deposited:	15 Oct 2021 14:16
Last Modified:	15 Oct 2021 14:16
URI:	https://bnu.repository.guildhe.ac.uk/id/eprint/18448

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