One of the criticisms of psychological studies historically has been that we've been studying mostly abnormal behaviors and that it'd be like trying to determine how a car is built based upon only asking repair shop auto mechanics. Similarly though, I think we need to invert this for business - we need to identify commonalities between businesses that fail more than we need to identify the factors that cause success (the entrepreneurship porn out there is potentially harmful this way despite the many articles on the dark side of it). I think the common factors in what causes failures are fairly static compared to the factors that cause success. This interview is a great example of what was successful at one point in history can totally fail later (much greater planning necessary in the early 90s while now we're focused upon market fit / reactivity today as a trend). My gut feeling is that some kinds of companies are better off sticking to their guns and churning out good product independent of the market trends while others need to evolve.
I’m not sure this is actually true. There’s tons of data from “normal” subjects, though normal here mostly means “average behavior of an 18-22 year old college student.” If anything, psychology would probably benefit from more focus on individual differences rather than commonalities.
I must admit I may be missing some much more fundamentals that are discussed in academic programs for business (like data structures in CS programs) but am curious why they're treated as table stakes for merely talking about topics like market fit and growth projections when engineers do talk frequently about "basics" like essential data structures.