[LI] Ikigai revisited; under-employed, over-qualified, etc.; monetizing data ≠ happy jobs

Two replies and a post on LinkedIn about jobs. Reply to post by Gary Bolles of his video entitled "Ikigai: View From the Heights" (United Palace of Spiritual Arts / Singularity University, 11 September 2020) September 2020 (posted September 2020) Nice talk. On the four areas (like, good at, world needs, & being paid for) …

[LI] Explaining lack or loss of motivation in job settings: A tentative inventory

Man & Floating Fish in Desert. Source: iStock https://www.istockphoto.com/photos/salvador-dali-art While researching something else, I realized I needed a better understanding of factors that lead to low motivation on the job - all the way from disinterest and just being there to do the minimum for the paycheck, to actively disliking much or all of what's …

[LI] Hobbies & jobs; jobs, time-off, & motivation

A reply and a post on LinkedIn about the relationships between jobs and leisure (time or activities) - benefits of the latter for performance in the former, and costs to motivation when the former encroaches on the latter. The article featured in the first of the two was useful in my writing the article on …

[LI] The space​ between (and around) jobs and hobbies

Source: "My hobby: present perfect,"​ ESOL Nexus, British Council https://esol.britishcouncil.org What relationship, if any, do hobbies have with jobs? I never really considered this beyond the perspective that work and leisure tend to occupy separate domains, even if we might interleave small bits of one with the other in various contexts. What led me to …

[LI] Robots vs managers; BS jobs; organizational stupidity

Three posts on LinkedIn relating to organizational dysfunction: a poll purporting that many people would trust robots over their managers (the poll itself raises some questions); I suggest a diagram situating "BS jobs" outside of "work"; and another take on how organizations get the worst out of us. "Trust a robot, not your manager," by …

[LI] Workers & automation – need laws, hate algorithms (2 items)

Two items relating to the environment for employees and gig workers created by automation and use of algorithms. The first concerns legal protections and the second concerns reactions by workers. Reacting to the second, I again bring up the idea of apps or programs for individuals that could interface with systems used by companies. Could …

[LI] AI, HR, recruitment & the individual

Several items posted on LinkedIn in late summer and early fall 2017 regarding how automation is being used and perceived as developing in hiring and the workplace. Includes one from 5 years ago when the dialogue was more from the perspective of "big data." Also re-upped current observations about LinkedIn's attempts to automatically serve suggested …

[LI] Jobs as problem; work as broken; jobs not as work

Three different items posted to LinkedIn about work, jobs, and the two confounded. This space seems in tumult, in part because of rise of intelligent automation. However it would certainly help to think more clearly about work and jobs being separate concepts, even as they are related (the latter a subset of the former).  "Jobs …

[LI] An employment “filter bubble”?

Apparently "70% of people in 2016 were hired at a company where they had a connection," per publicity tweeted by LinkedIn. This puts a number on the old saying, "it's not what you know but who you know." But beyond exhortations to network harder, what else might such a statistic tell us about the job …

[LI] AI & the future of work, jobs, income & wealth

In his LinkedIn article "Why the future of work is a National emergency," Michael Spencer outlines what he sees as the threat of automation (which increasingly involves artificial intelligence - AI) for employment, and the ramifications of this in the economy. Here's an alternative view. First and most important is to disaggregate "work" on the …