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To identify and critically assess the most recurrent themes in the ongoing debate on knowledge work.

A representative selection of studies published since 1962 is reviewed. The review focuses on the theoretical strengths and limitations of the concept of knowledge work.

The review indicates that definitions of knowledge work abound. Although knowledge work has attracted scholarly minds for several decades and the number of publications in this area has rapidly increased in recent years, it has proved hard to come by a clear and concise definition of this term. However, certain themes, such as a high level of education and skills and the use of information technology as an integral part of the informational labour process, have become increasingly common to both the empirical and the theoretical literature.

The paper helps pave the way for more detailed research by providing an ideal‐typical profile of informational labour.

Despite increase in industry use of dispersed teams, understanding has lagged on how to manage knowledge effectively and efficiently in a dispersed structure. The main purpose of this paper is to map this domain by reviewing two streams of literatures ‐ the knowledge‐based view of the firm and the dispersed work. The aim, also, is to examine the implications of dispersed knowledge work on firms, especially knowledge intensive firms that are increasingly conducting dispersed work.

The literatures are reviewed and analyzed to examine why accessing and creating knowledge is problematic in dispersed work arrangements.

The findings raise the issue of understanding the important dynamics of the fit between the structure (dispersed versus face‐to‐face) and the strategy for managing dispersed knowledge (codification versus personalization strategy).

The paper is a useful resource for managers seeking to discern the social and technological interventions needed for conducting knowledge work in different types of knowledge‐intensive firms.

This paper is among the early works to organize the two streams of literatures. The paper shows that virtual work may not necessarily be virtuous for all kinds of dispersed knowledge work. In order to realize the virtues of geographic distance, firms need to consider their competitive strategies and their outcomes of interest.

This paper aims to develop a reliable and valid scale for measuring the underlying knowledge involved in work. To do so, it builds on the knowledge-in-practice (KIP) framework that suggests different types of work have different underlying knowledge characteristics. This allows us to answer two important questions: What are the underlying characteristics of KIP that are important to effectively manage a firm’s knowledge resources? How do we measure these characteristics? The answers help to build theoretical and empirical understanding of the construct of KIP.

The study uses a discovery-oriented survey design methodology to design the survey instrument, followed by a mixed-methods approach to validate the scale.

A new scale is developed for measuring the tacitness and learnability of the knowledge involved in work. It allows work units to be evaluated based on the underlying knowledge involved in different types of work.

The KIP scale can be used for measuring the type of knowledge characteristics in organizations. Academics can use this study as a basic model to explore knowledge across different contexts and focus on the different characteristics within and across work contexts.

The study provides a clearer and more granular understanding of knowledge in organizations that can be used as a guideline to refer to when measuring and assessing knowledge requirements.

Scholars have pushed to understand work from a knowledge and collaboration perspective. A measurement scale for the KIP framework provides a critical first step towards this outcome.

This paper aims to investigate whether the shift towards the knowledge economy (e.g. an increasing reliance in knowledge in the production of goods and services) is related to the work practices of organizations (aimed at the provision of autonomy, investments in training and the use of technology).

The analyses are based on data about over 20,000 companies in 28 European countries. National level indicators of knowledge intensity are related to the work practices of these organizations. Multilevel analysis is applied to test hypotheses.

The results show that there is a strong and positive relationship between the knowledge intensity of the economy and the use of knowledge intense work practices.

To the best of our knowledge, this is one of the first papers to test whether knowledge intensity at the national level is related to the work practices of organizations.

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).

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.

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.

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.

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

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

This is the knowledge age and, to put it in Peter Drucker's language, knowledge workers and their knowledge are a vital component of this economy. Yet, so little is really known about these workers. New research is needed to better understand the issues surrounding the recruitment, productivity, deployment, and retention of these workers. This research aims to address this issue.

The research was conducted through a 35‐part questionnaire administered in mid‐2008 to 125 business and government executives/professionals located in North America, Europe, and South America.

The research delineates two major work groups by age: 25 years old; and 26‐40 years old. The top two preference findings for 25‐year olds include: recruitment – flexi‐work and cultural diversity; retention – education/training and communities and networks; valued skills – team/collaboration and specialized technical; and technologies – collaboration tools and e‐mail, search, portals. The top two preference findings for 26‐40‐year olds include: recruitment – flexi‐work and job security; retention – communities and networks and documentation; valued skills – project management and strategic thinking; and technologies – collaboration tools and e‐mail, search, portals. Finally, measuring performance improvement metrics for these workers were: improved quality of output, task execution speed, and high‐impact innovation (as opposed to cost reduction and work elimination); innovation (25 years); and superior decision‐making/risk assessment capabilities (26‐40 years)

This field research provides a management framework for helping organizational leadership to make strategic decisions on how to build a more competitive and attractive workplace over the next ten years.

The knowledge economy and the knowledge work that fuels it have created much debate in relation to the types of workers it requires and how they should be managed. The central issue is that “knowledge workers” are only valuable while possessing a body of knowledge to utilise in the process of their work. The management of workers with knowledge runs counter to the more mainstream Taylorist systems based on the assimilation of knowledge into the organisation. The purpose of this paper is to theoretically analyse the usefulness of Scientific Management as a management system for controlling knowledge work.

Through a review of relevant literature this paper compares the main principles of scientific management with the theory of knowledge work in an attempt to understand their relationship.

This paper finds that: despite the need for workers to retain knowledge the main principles of scientific management can still be applied; and the application of Scientific Management to knowledge work will result in an increasing division of knowledge, as opposed to division of task, which compliments the trend towards increasing occupational specialisation.

This article proposes that Scientific Management should be considered as a useful tool to manage knowledge work. This view runs counter to more mainstream accounts where Scientific Management and knowledge work are seen as incompatible. This paper partially fills the gap in understanding of how knowledge workers should be managed and is useful to academics seeking to characterise knowledge work and practitioners seeking to manage in the knowledge economy.

The purpose of this paper is to evaluate the impact the workplace can have on knowledge working for a multi‐generational workforce.

A case study analysis is undertaken of Leeds City Council (LCC) workplace in the UK.

The findings from the study show that in the context of LCC there are some key differences between the generations regarding knowledge working preferences for formal/informal meeting spaces. In other aspects, such as knowledge sharing, the generations appear to agree on key aspects such as mentoring and team‐based working environments.

Corporate real estate managers can use the research findings to assist them in providing a range of workplace settings to enhance multi‐generational interaction.

This paper fills a gap in current research by evaluating workplace preferences based on generational differences.

This paper examines the role of knowledge management and knowledge management systems for supporting knowledge work. In a work environment, knowledge is always situated in a specific context, so an organization benefits from a knowledge management system when such a system is focused on a specific task. Providing support for knowledge work at the task level complements the work practices of actors performing the task. The paper suggests that knowledge management systems can be implemented as intelligent decision support that establishes a joint cognitive process between the system and the actor performing the task. The proposed approach has been derived from our application of a knowledge management framework to a number of field studies. These applications come from various domains and highlight different aspects of the proposed framework. The focus on task performance, as a driving force for knowledge management, unifies these field studies. The paper identifies the issues that emerge from these studies and describes their contribution to the development of the framework. The paper concludes that by privileging knowledge work, task‐based knowledge management can be an effective knowledge management strategy.

The purpose of this paper is to ask: what are the temporal realities of female knowledge workers? It especially focusses on women’s possibilities of using working-time autonomy, and the work and non-work practices that shape their possibility to use work-hour autonomy. In knowledge work, working-time autonomy is usually high, but exercising autonomy is not always possible. The study was carried out in Finland, where full-time work is common also among women, even if they have small children.

The data include 19 semi-structured interviews of women who have knowledge-intensive work. The method of analysis is problem-driven content analysis.

Female knowledge workers intertwine several temporal realities. The utilisation of working-time autonomy is restricted by unpredictability, continuous interruptions, hurriedness and ineffective work practices. The temporal realities of family life, such as taking children to the daycare or school, other everyday routines and a spouse’s working-time autonomy have an effect on women’s possibilities to use working-time autonomy. The line between work and non-work blurs.

This study sheds light on working-time autonomy among female knowledge workers. It adds an understanding to the temporal realities of work and outside work that influence the use of work-hour autonomy. This information is needed to understand time demands arising from work, which play a role in work-family research in particular.