MRS Silver Medal 2021
10 May 2021

The finalists for the best paper from volume 62 of the International Journal of Market Research have been announced, recognising academic and practitioner authors with affiliations in the UK as well as Germany, Malaysia, New Zealand, Saudi Arabia and the USA.

MRS has made all the papers below free to access to everyone until 9 June. Usually they are only available to IJMR subscribers and Certified Members (CMRS) and above.

'The changing role of the marketing researcher in the age of digital technology: Practitioner perspectives on the digitization of marketing research'

Robert Cluley (University of Nottingham, UK), William Green (University of Leicester, UK) and Richard Owen (Hall & Partners, UK) outline the main benefits and challenges of digital technologies in research, as perceived by researchers themselves.

Read the paper for free here: The changing role of the marketing researcher in the age of digital technology: Practitioner perspectives on the digitization of marketing research

'Beyond a tandem analysis of SEM and PROCESS: Use of PLS-SEM for mediation analyses!' 

Marko Sarstedt (Otto von Guericke University Magdeburg, Germany; Monash University Malaysia, Malaysia), Joseph F Hair Jr (University of South Alabama, USA), Christian Nitzl (University of the German Federal Armed Forces Munich, Germany), Christian M Ringle (Hamburg University of Technology, Germany; University of Waikato, New Zealand) and Matt C. Howard (University of South Alabama, USA) argue that much of the confusion regarding SEM’s efficacy for mediation analyses results from a singular focus on factor-based methods, and there is no need for a tandem use of SEM and PROCESS.

Read the paper for free here: Beyond a tandem analysis of SEM and PROCESS: Use of PLS-SEM for mediation analyses! 

'COVID-19 and race: Protecting data or saving lives?' 

Richard Webber (OriginsInfo Ltd, UK; University of Newcastle, UK) uses the COVID-19 pandemic to demonstrate how our understanding of ethnic inequalities could be improved by greater use of algorithms that infer ethnic heritage from people’s names.

Read the paper for free here: COVID-19 and race: Protecting data or saving lives? 

'Sarcasm detection using machine learning algorithms in Twitter: A systematic review'

Samer Muthana Sarsam (School of Communication, Universiti Sains Malaysia, Malaysia), Hosam Al-Samarraie (School of Media and Performing Arts, Coventry University, UK), Ahmed Ibrahim Alzahrani (Department of Computer Science, King Saud University, Saudi Arabia) and Bianca Wright (School of Media and Performing Arts, Coventry University, UK) address the challenges faced in recognising both literal and figurative meanings when users express opinions via social media.

Read the paper for free here: Sarcasm detection using machine learning algorithms in Twitter: A systematic review 

Fellows and Certified Members can read these papers online today via the IJMR website. 

The winning paper will be announced in September.