Critical Eye: Workplace Knowledge Flows
By: Stephen Bounds
Tags: Knowledge Flows, Km, Knowledge Sharing, Knowledge Management, Workplace

Critical Eye is a semi-regular feature where RealKM analyses and discusses the methodology and science behind claims made in publications.

One of the more irritating aspects of a significant proportion of knowledge management research is their fallback to “experiment by survey” when attempting to prove causality. Typically, groups are asked two sets of questions — normally something like Do you value knowledge sharing?, and then a separate set questions on valued outcomes, such as Do you think your organisation is innovative? The results from these subjective questions are then correlated and the findings generally support (surprise, surprise) that people who work for organisations that value knowledge also value innovation.

By contrast, the working paper on Workplace Knowledge Flows[1] by Sandvik an colleagues is an absolute delight. It has developed a quasi-experimental design including a range of treatments, objective measurements, attempts to control for confounding factors, and pre and post intervention monitoring through applying interventions separately and jointly. The paper clearly outlines its hypothesis and is appropriately restrained in its conclusions about the findings, which are that:

Encouraging workers to talk about their sales techniques with a randomly chosen partner during short meetings substantially lifted average sales revenue during and after the experiment. The largest gains occurred for those matched with high-performing coworkers. [emphasis added]

The paper unequivocally demonstrates a positive return on investment (ROI) for the company from these changes in knowledge activities, a rarity in itself. While the authors acknowledge that this is a benefit of the sales environment, there is no reason to believe that this general capability uplift from knowledge sharing could not extend to other environments. As per the paper, the key findings were:

Relative to both the internal control and external control groups, the “Structured-Meetings” treatment yielded a 24% increase in revenue-per-call during the four-week

intervention period, compared to a 13% increase in the “Pair-Incentives” treatment. Net revenue gains significantly exceeded implementation costs for both treatments

intervention period, compared to a 13% increase in the “Pair-Incentives” treatment. Net revenue gains significantly exceeded implementation costs for both treatments Twenty weeks after interventions formally ended, average sales in the “Structured-Meetings” and “Combined” treatments remained between 18% and 21% higher than the control groups

Agents in the “Pair-Incentives” treatment had post-intervention average sales changes that were statistically indistinguishable from either control group.

Most valuably, this paper provides significant evidence that many valuable knowledge interventions are inhibited from occurring by “initiation costs” and not from a lack of explicit incentives to collaborate. This was seen in the lack of sustained performance benefits arising from the “Pair-Incentives” group, with the authors concluding that the temporary performance gains came from effort changes during the intervention period, rather than knowledge acquisition.

The authors identified three types of initiation costs that were addressed by the intervention:

social concerns — including a reluctance to approach unfamiliar coworkers and a fear of signaling incompetence

— including a reluctance to approach unfamiliar coworkers and a fear of signaling incompetence coordination difficulties — including the inertia to be overcome in setting up meetings

— including the inertia to be overcome in setting up meetings search frictions — including knowing whom to ask for help

While the authors (appropriately) caution that interventions on knowledge initiation factors may not be possible to generalise outside of this sales environment, this paper forms a strong foundation for further productive inquiry within the KM community. The whole paper is highly readable and everyone is encouraged to make time to read it.

Acknowledgements: Thanks to Matthew Moore for bringing this paper to my attention.

Header image source: Shutterstock.

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