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This chapter provides an overview of the Department of Defense (DoD) laboratory structure to help equipment designers, modelers, and manufacturers determine where research, testing programs, or relevant findings can be found. The chapter includes a discussion of the performance measures and metrics typically used in DoD laboratories and concludes by considering the current state-of-the-art as well as the state-of-the-possible for human performance measurement.

This work aims to propose an alternative method of human capital calculation for research laboratories of public university, taking into account some drawbacks of the methods currently applied in this field.

This method is implemented via a linear program extracted from Data Envelopment Analysis based on slack movement. This is the formulation of Copper et al. (2000), which is used as the starting point for developing the proposed method through important transformations.

The proposed method is supported by an illustration related to a Moroccan public university. This illustration showed that 57 per cent of the laboratories and all the research activities that they perform are in deficit with respect to target scores.

The proposed method has technical limitations related to scores equal to 1 and to variables when those are numerous. To solve them, it is possible to use peer benchmarking system for the first limitation, and methods of regrouping the variables when those are numerous for the second limitation. Equally, the proposed method does not associate slack with important factors like governance and the impact analysis of research on innovation, competitiveness, and societal aspects. Likewise, it does not use the slack to measure individual efficiency at the same laboratory. Future research can fill these gaps.

This work allows making appropriate budgetary and research policy within university, through budgeting process and management control by using raw and adjusted target values as well as actual ones. Also, the highlighting of the excessive slacks leads the university to take actions to reduce them, according to the most loss-making research activities.

The proposed method is original, since it fills a deficit in terms of human capital target values calculation and of the slack movement concept in relation to the efficient frontier. Additionally, it transforms the Data Envelopment Analysis program into a program that eliminates the slacks linked to the inputs, the radial movement related to the outputs and treats only the outputs and slacks related to these outputs.

This study aims to identify the current barriers to sustainability in the bioscience laboratory setting and to determine which mechanisms are likely to increase sustainable behaviours in this specialised environment.

The study gathers qualitative data from a sample of laboratory researchers presently conducting experimentation in the biological sciences. A questionnaire, regarding sustainability in the laboratory, was developed and distributed to all bioscience researchers at Aberystwyth University.

Although the majority of respondents had favourable attitudes to sustainability, almost three‐quarters (71 per cent) stated that they were not conducting their research in the most sustainable way possible. The factors most likely to hinder sustainable behaviour were lack of support, lack of information and time constraints. However, monetary costs and benefits, closely followed by “other” costs and benefits, were most likely to encourage sustainable behaviour in the laboratory.

There is a need to extend the present research to other types of biological research, such as field‐based studies. Different biological disciplines may have different consumable requirements and waste streams, thereby changing the barriers to sustainability observed.

The findings have immediate practical implication for higher education institutions wishing to adopt researcher‐approved mechanisms to reduce the environmental impact of biological laboratory research.

This is the first study to design a sustainability questionnaire which is specific to research scientists and laboratory users. The paper is therefore of immense value to the numerous global higher education institutions with working laboratories which seek to minimise the environmental impact of research.

The authors investigate the relationship between the structure and the functioning of scientific and technical (S&T) personnel and the quality research and development (R&D) performance output of laboratories functioning under the Council of Scientific and Industrial Research (CSIR), India. The purpose of this paper is to examine how rapid economic and social changes and the demand for better accountability are addressed by public R&D institutions in a specific developing economy.

The authors use the functions performed by the S&T personnel as indicators of their tacit knowledge. The authors use data from 27 different CSIR laboratories to analyze the specific functions carried out by knowledge workers (S&T personnel) in order to gauge the internal strengths and weaknesses of individual laboratories in different functional areas. The authors use the following measures to tap the quality R&D performance of these laboratories – number of Indian patents filed and granted, number of foreign patents filed and granted, and the number of published papers figuring among the top 50 CSIR publications in specific research areas over an extended period of 11 years (2003-2004 to 2013-2014).

The findings show that there is no readymade formula for identifying improvements in quality performance by a research laboratory, given a particular set of S&T worker profile in terms of the six functions defined in the study. The top-performing laboratories have excellent patent as well as publication record reinforcing the point that innovation encompasses both basic and applied research with success depending upon strategically emphasizing the different components of the innovation process.

The scope of the present research work is limited by the choice of the quality R&D performance measures adopted in the study that could be further expanded to better tap the social accountability of these public-funded institutions. In addition, inclusion of all CSIR laboratories in the study framework would add value to the study findings. The research highlights the importance of tacit knowledge management and organizational learning as central features of strategic organization development for technology practices incorporating R&D work, the support of pilot plants, experimental field stations, and engineering and design units.

The paper has particular implications for the leadership and management of public R&D organizations and public policy formulation for innovation in an emerging developing economy context.

This study extends the extant literature by drawing upon the role of tacit knowledge and organizational learning to inform the empirical research on managing public R&D and the innovations that result from it, in a particular emerging economy context, that is, India.

This contribution investigates methodological questions concerning Change Laboratory interventions. It contemplates the research questions: To what extent the Change Laboratory can be situated within the panorama of qualitative inquiry? If so, to what extent can the methods and strategies of inquiry help improve a Change Laboratory intervention?

To answer the first question, this paper makes an overview on key terms of qualitative research; subsequently, it presents the characterising features of the Change Laboratory. Then, it takes a historical perspective and compares the Change Laboratory firstly against action research, and secondly with design experiments. To answer the second section, it examines a case study of Change Laboratory with teachers that the first author facilitated. Next, it displays how trustworthiness was ensured through a thick description and member checks.

The paper argues that the Change Laboratory is a strategy of inquiry; it aligns with the characteristics of qualitative research, and it follows the agenda of a participative paradigm. Furthermore, the methods and strategies of inquiry such as thick descriptions and member checks, not only can improve rigour and validity of the intervention but also strengthen the outcomes of the Change Laboratory itself.

The Change Laboratory is well defined as a formative method, but not fully understood as an investigative method. Although scholars discussed methodological issues of Cultural Historical Activity Theory in diverse articles, the relationship between the Change Laboratory and qualitative inquiry has remained unclear.

In this chapter, we discuss the Change Laboratory as an intervention-research methodology in higher education. We trace its theoretical origins in dialectical materialism and activity theory, consider the recommendations made by its main proponents and discuss its use in a range of higher education settings. We suggest that the Change Laboratory offers considerable potential for higher education research, though tensions between Change Laboratory design recommendations and typical higher education contexts require consideration.

The paper develops a model for enhancing R&D productivity for Indian public funded laboratories. The paper utilizes the productivity data of five Council of Scientific and Industrial Research (CSIR) laboratories for analysis and to form the constructs of the model.

The weighted average method was employed for analyzing the rankings of survey respondents pertaining to the significant measures enhancing R&D involvement of researchers and significant non-R&D jobs. The authors have proposed a model of productivity. Various individual, organizational and environmental constructs related to the researchers working in the CSIR laboratories have been outlined that can enhance R&D productivity of researchers in Indian R&D laboratories. Partial Least Squares-Structural Equation Modeling (PLS-SEM) was used to find the predictability of the productivity model.

The organizational factors have a crucial role in enhancing the R&D outputs of CSIR laboratories. The R&D productivity of researchers can be improved through implementing the constructs of the proposed model of productivity.

The R&D productivity model can be adapted by the R&D laboratories to enhance researchers’ R&D involvement, increased R&D outputs and achieving self-sustenance in long run.

The R&D laboratories can initiate exercises to explore the most relevant factors and measures to enhance R&D productivity of their researchers. The constructs of the model can function as a guideline to introduce the most preferable research policies in the laboratory for overall mutual growth of laboratory and the researchers.

Hardly any studies have been found that have focused on finding the measures of enhancing R&D involvement of researchers and the influence of significant time-intensive jobs on researchers’ productivity.

The effect of global integration of businesses and interchange of ideas and technology through internet has many facets. Increase in economic recessions and decrease in research funding has forced both private and public sector research organizations to introduce measures of self-sustainability. Enhancing research and development (R&D) productivity of researchers can be one of those measures. The purpose of this paper is to attempt toward identifying and analyzing those factors of productivity that may be related to the manpower in R&D.

Based upon the theoretical background and the nature of data available, this empirical study has been carried out as a case study for a public sector research laboratory. The extent of involvement in research projects have been analyzed with respect to the R&D outputs generated by the researchers, which if found to be positively related, may be focussed upon, for increasing productivity of manpower in R&D. Several other determinants of R&D productivity were identified from the literature review and were analyzed in association with the “involvement.” “Robust Regression” technique was used for the statistical analysis.

It was found that the R&D productivity of researchers has a positive correlation with their extent of involvement in the R&D projects.

The result may help in creation of the policies for enhancing organizational self-sustainability.

Several prior studies have been conducted with different determinants of R&D productivity but hardly any studies were found considering “extent of manpower involvement in research projects.” This study can be useful for public sector research organizations to relate the findings with their endeavors of enhancing R&D productivity.

Aarhus Kommunes Biblioteker (Teknisk Bibliotek), Ingerslevs Plads 7, Aarhus, Denmark. Representative: V. NEDERGAARD PEDERSEN (Librarian).

The purpose of this paper is to develop a comprehensive list of key performance indicators (KPIs) that can be employed in determining the functional performance of academic and research laboratory facilities.

The study employed a two-phase approach. First, a thorough literature review was conducted to identify potential KPIs specific to the performance of laboratory facilities. This was followed by an assessment of the KPIs by 12 respondents including 6 professionals and 6 users. The KPIs were arranged in the form of a questionnaire survey containing response columns for agree/disagree, and importance rating scales for evaluation. The relative importance index values were also computed.

The result of the study was a comprehensive list of 161 KPIs classified into nine categories including: space, access/circulation, utilities and waste, environmental conditions, furniture, appearance/finishes/image, communications, storage within the space and special building features. These KPIs were perceived to be at varying levels of importance by the respondents.

Though previous studies developed KPIs for the performance of facilities, these KPIs are not universal. Thus, the originality of this study is in its identification of a comprehensive set of KPIs unique to the design, evaluation and management of research and academic laboratory facilities.