An activity‐based framework for quantification of knowledge work

Abstract

Purpose

This study attempts to identify the different types of activities that comprise a worker's job, and provide a framework for quantitative definition and segmentation of knowledge works (KWs).

Design/methodology/approach

Every KW has two main parts: working with knowledge and establishing communication. Thus, in order to provide an exact definition for the KW it is necessary to calculate the knowledge intensity score of a job (JKIS) and communication intensity score of a job (JCIS). For determining these two parameters precisely, jobs were broken hierarchically to tasks and then activities. To identify these activities, an initial list of activities mentioned in the literature was created and then completed with generalized work activities of O*NET. A six‐step framework for calculating of JKIS and JCIS was proposed and finally, different groups of knowledge workers (KWrs) with respect to JKIS and JCIS were identified by using a clustering method.

Findings

This article shows how KW can be defined and segmented based on two dimensions (i.e. knowledge intensity score of a job (JKIS) and communication intensity score of a job (JCIS)). The proposed framework was used to analyze 133 jobs in 11 organizations. Practicality and validity of framework were examined based on this empirical study.

Research limitations/implications

This study is a base for the identification of appropriate managerial frameworks corresponding to each discovered group of KWrs. Using more data can improve the results obtained in this study.

Practical implications

This work emphasizes the importance of defining and clustering KW and proposes a practical method for this aim.

Originality/value

A new framework for the quantification of KW is proposed. This framework is supported by five principles inferred from the literature.

Citation

Heidary Dahooie, J., Afrazeh, A. and Mohammad Moathar Hosseini, S. (2011), "An activity‐based framework for quantification of knowledge work", Journal of Knowledge Management, Vol. 15 No. 3, pp. 422-444. https://doi.org/10.1108/13673271111137411