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BQ 3A News > Blog > France > What form of faraway employee are you? When math sheds mild in your profile
France

What form of faraway employee are you? When math sheds mild in your profile

January 29, 2026
What form of faraway employee are you? When math sheds mild in your profile
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On a daily basis, with out excited about it, we classify issues: we type library books through style, classify emails… However how can we classify gadgets after we should not have an present classification? Arithmetic can resolution such questions. Here is an indication about telecommuting.

Within the context of telecommuting, we requested ourselves whether or not telecommuters may also be grouped consistent with their perceptions of autonomy and organizational keep an eye on.

This allowed us to mathematically justify that there are two huge categories of faraway employees and that their imaginative and prescient of faraway paintings differs. This may allow managers and HR departments to tailor the control of every individual consistent with their profile.

To categorise ability to measure similarity

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We checked out 159 faraway employees. To categorise people, we first wish to measure how an identical they’re. To try this, we establish “typical profiles” from the analysis of “constructs”, which might be units of standards that maintain the similar matter.

In our find out about, the principle constructs are keep an eye on and autonomy. We assess those two constructs the use of a number of questions posed to telecommuters, as an example “I have the impression that my use of technology at home is constantly monitored.” They offer their resolution on a 5-point scale (from 1-strongly disagree to 5-strongly agree).

Subsequent, every teleworker is represented through a sequence of knowledge: those are the responses of the teleworkers within the order of the standards. For instance, for worker 1, we will be able to see the solutions (3, 1, 3, 2…), see the image.

Excerpt from the responses of more than a few collaborators consistent with the chosen standards. The knowledge of Diard et al. (2025), Supplied through the creator

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To crew telecommuters in combination, we first wish to measure how an identical they’re. To try this, we measure the space between profiles (the use of Euclidean distances). This perception of distance is essential as a result of it’s what quantifies the similarity between two faraway employees. The nearer two profiles are, the much more likely they’re to be in the similar category.

If we believe as many categories as other people, the separation is absolute best, however the result’s dull. The problem is due to this fact twofold: to have an inexpensive collection of other categories in order that the people in every category are sufficiently an identical.

What number of categories to make a choice?

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We used the process of hierarchical ascending classification, which is composed of grouping essentially the most an identical conceivable people into the similar category whilst the categories stay distinct.

Extra exactly, at the start every faraway employee is handled as a category and we attempt to crew two or extra categories in a suitable option to shape a brand new category. We proceed like this “until we get the whole class, i.e. the total sample”. Additionally the ensuing tree (dendrogram) may also be lower at other ranges.

Then crucial query arises: how to make a choice the collection of categories? There are a number of strategies. For instance, the elbow approach: the purpose the place the curve (within-class variance as a serve as of the collection of categories) “makes an elbow” corresponds to the collection of categories to stay. Which means if we “add another class, we gain a little in accuracy”. In our find out about, the collection of hours retained is 2.

To beef up our classification, we continue with a non-hierarchical classification approach (k-means) that reassigns faraway employees into two categories (however they’re somewhat other) whilst minimizing the space to the “center” of the categories (the common standards ratings of every category discovered previous).

We then uncover two categories of better-distributed teleworkers: “autonomous satellites” and “controlled dependents.”

Classification on the carrier of the executive

As soon as the classification is located, we’re then eager about examining the common ratings towards different style constructs, on this case the teleworker enjoy. “Autonomous satellites” have an general extra sure view in their paintings than “controlled dependents” and consider that their operating stipulations have advanced for the reason that implementation of teleworking.

In fact, there are boundaries to our find out about: it is going to be vital to check its robustness, repeat the research with subsamples or different samples of teleworkers, and check a number of classification strategies. A brand new investigation will be capable to display whether or not the quantity or nature of the categories we discovered is converting. However it is very important be aware that this end result (two profiles of faraway employees) is the results of a rigorous mathematical and statistical way, which enhances earlier qualitative research.

Classification is a well known software in human useful resource control. For instance, it is composed of “weighing” a place and positioning it in a predefined grid through evaluating its profile with the traits of a number of reference positions. Every collective settlement has a classification community. It used to be the regulation of December 23, 1946 and the Parodi-Croizat decrees of April 11, 1946 that opened the best way for the classification of employees into seven ranges.

The usage of arithmetic, our classification presentations that telecommuting can’t be controlled as a unmarried association. Every profile corresponds to express wishes and organizational dynamics. Realizing that there are two majority profiles, it’s conceivable to suggest other movements in beef up of faraway employees.

Right here, arithmetic is a device on the carrier of managers and is helping to look invisible buildings in a posh set of knowledge. This can be a determination beef up software.

TAGGED:lightmathprofileremoteshedstypeworker
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