I was disappointed to read Du and Osmonbekov‘s 2020 paper in the International Journal of Research in Marketing, see here. The authors clearly don’t mind hard work and I’m sure they have useful empirical skills. Still they aren’t young researchers making errors or rushing a paper to the market. They can do better. It is…
Adjusting For Unrecorded Intangibles Is Hard
I have previously written about the good, and not so good, parts of Alexander Edeling’s, Shuba Srinivasan’s, and Dominique M. Hanssens’ 2020 review paper on the marketing finance interface, see here. Here I will comment on a specific assertion they make that strikes me as misleading. It is important to highlight this as I fear…
The Case Against: Is Education A Waste
I have mixed feelings on Bryan Caplan‘s books (see also here). I must confess to appreciating that he tackles hard to discuss, important topics. Is education a waste is certainly one of those. I also don’t want to be the sort of person that, just because I don’t have a similar perspective to Caplan, I…
Catalysts And Persuasion: Changing Minds
I enjoy a nice book on persuasion and Jonah Berger‘s on catalysts and persuasion is certainly one of them. (They make excellent gifts at any time of the year). His prior books were enjoyable and generally illuminating. The Catalyst follows in that tradition. (Although I do think it is funny when writing one of these…
Total Q Measures Investment Opportunities Not Firm Value
Papers in finance can sometimes get a hefty citation count boost when they get picked up in marketing. Peters and Taylor‘s 2017 paper on Total q is a nice paper. They make the very reasonable assertion that their Total q measures investment opportunities better than current Tobin’s q approximations. While I’m not a finance person…
Do Generalists Triumph?
I am a marketing professor, who has been an accountant working in politics, and who was educated as an ancient historian. As such, it is perhaps no surprise that I am naturally drawn to the arguments in Range. In this David Epstein lays out his case for having a diverse range of skills. His argument…
Bayes’ Theorem And Common Sense
Today we look at Bayes’ theorem and common sense highlighting the role of prior beliefs. How Should We Think About Probabilities? There is a big rift in the way people think about probabilities. (This is in addition to he normal challenges doing the math). Events either happen or they don’t. We can think of probabilities…
Rankings Matter For Good Or Ill
The copious detail in Ellen Hazelkorn‘s Rankings and the Reshaping of Higher Education makes it a useful read. A challenge with her approach is that she is able to give an excellent snapshot of higher education in 2011. Sadly, as things have moved on this leaves some bits dated. Still, I would think the key…
Advice On Data Science, It Isn’t Too Hard to Understand
Marketers should understand the data science models that are increasingly being used in the discipline. We really need good advice on data science. As such it is helpful to find simple explanations of data science models. Numsence by Annalyn Ng and Kenneth Soo is an admirable attempt to clarify basic models used in data science….
To Employ Marketing Metrics Consider User Needs
One the basic ideas in marketing is that the consumer of whatever you are providing decides whether an offering is useful. You shouldn’t just shout at your customers and tell them that they should appreciate what they are being given. I think a lot of marketers forget this basic idea when it comes to marketing…
