Rigor

Rigor

Rigor refers to a systematic and thorough approach to problem-solving or research, which involves clearly defining decisions, gathering and considering relevant facts, thoroughly evaluating options, and making clear and informed decisions. It is characterized by the effective use of knowledge, theories, and methodologies to achieve clarity and methodical solutions.From: Quantitative Process Control Theory [2019], People over Process [2019], A Hands-Free Music Score Turner Using Google Glass [2019]

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Published in Michael K. Levine, People over Process, 2019

Michael K. Levine

Rigor. I put rigor first for a reason, in that I believe it to be primus inter pares (first among equals) in our model. In dealing with the uncertainties driving agile adaptive process control, there are many crucial decisions to be made. Rigor means clearly defining each decision to be made, gathering and considering facts, thoroughly considering options, and making clear decisions. Without rigor, alignment has to be command driven; while efficiency in pursuit of decisions reached without rigor is just doing the wrong things quickly.

A Hands-Free Music Score Turner Using Google Glass

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Published in Journal of Computer Information Systems, 2019

Satoko Kora, Billy B. L. Lim, James Wolf

Hevner et al. define rigor in design research as it is derived from the effective use of knowledge, theories, and methodologies. Rigor is not necessarily a collection of mathematically measured data. Hevner et al. suggest that “the principal aim is to determine how well an artifact works.”

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A Hands-Free Music Score Turner Using Google Glass