| Institutional Assessment (ebookorg.html) |
Over the past 30 years there have been many attempts to define performance generally and to apply performance concepts to various organizational types. A number of ideas emerge from the organizational performance literature:
Within research institutions, the quantity and quality of research produced is fundamental to the achievement of the mission. But a research institution's performance must also encompass aspects of organizational functioning that are the necessary underlying conditions for researchers to be productive.
To apply traditional assessment terminology to research organizations, organizational performance must integrate the concepts of "effectiveness" and "efficiency." That is, the organization must be able to meet its goals (effectiveness) and to do so with an acceptable outlay of resources (efficiency). Vitally important as well, particularly to IDRC and other Northern granting agencies, is the Southern organization's sustainability over the long term (ongoing relevance). The organization must be able to develop and implement strategies which will ensure research performance over extended periods of time. To do so, its activities and services must remain realistic and connected to stakeholder needs. For when an organization's services and activities are not relevant or are too far-reaching and costly, organizational survival is at risk.
In summary, the performance of institutions can be conceived as falling within three broad areas: performance in activities that support the mission (effectiveness), performance in relation to the resources available (efficiency), and performance in relation to long-term viability or sustainability (ongoing relevance).
Ideas associated with the performance of research organizations in fulfilment of their missions vary considerably. Each interest group or stakeholder may have a totally different conception of what counts. For instance, scholarly researchers might define performance in terms of the number of refereed articles, whereas senior administrators might define performance as the quantity of financial resources brought into the research centre through grants. Donors might define performance in terms of the beneficial impact of findings or activities on indigenous groups.
Researchers themselves seldom speak with one voice on such matters. Is applied research as valued as theoretical research? Are agronomic practices adapted to local farmer's needs more or less valued than high yield export technologies? Are publications valuable in themselves, or should they only be considered in relation to citation indices by other researchers?
Although few organizations have performance data readily available about their research and training programs and services, it is not difficult to develop mechanisms and approaches for gathering performance data about these outputs. The information used by organizations can take the form of input data (e.g. the number of people or students served), process data (e.g. the number of research projects in progress), output data (e.g. the number of articles accepted for publication), or impact data (e.g. the number of patients impacted by the application of a particular medical technique).
While it is relatively easy to develop an information system to help institutions assess their performance, it is far more difficult to obtain consensus on the merits of particular performance indicators. It is more difficult yet to arrive at value judgments regarding acceptable levels of quantity and quality for each performance indicator. At issue is, how does the specific institution define "good" performance, and, perhaps most fundamental, does good performance move the organization towards attaining its mission?
| Exhibit 6.1: Typical indicators of performance in research institutions: effectiveness. |
|---|
Effectiveness
|
| Exhibit 6.2: Typical indicators of performance in research institutions: efficiency. |
|---|
Efficiency
|
| Exhibit 6.3: Typical indicators of performance in research institutions: ongoing relevance. |
|---|
Ongoing relevance
|
Regarding the effectiveness of research output, organizational goals and priorities provide the starting point for performance measurement. Performance indicators can and should include both quantitative and qualitative measures. A matter of some concern is that certain institutions have exclusively adopted numerical measures (e.g. the number of publications in peer-reviewed journals, the number of citations per author, the amount of money received by the organization for contract research, the number of patents earned, the number of students receiving graduate and post-graduate training, and so on.) In IDRC's view, qualitative judgements by stakeholders on the impact of research production are equally vital data.
IDRC also needs data on the management of institutions the efficiency domain. There are many approaches to such analysis, ranging from financial audits to surveys of organizational culture.
As well, there should be some analysis of the organization's ability to adapt to changing conditions. Organizational priorities, either written or inferred, transcend the individual programs and services being provided and include broad issues vital to organizational survival. The extent to which issues on this dimension will be measured is a matter for negotiation.
Some areas are more difficult than others to measure. For instance, while productivity is relatively simple to assess using numerical data, more abstract performance concepts such as creativity or adaptiveness elude clear-cut measurement. (Their measurement is not impossible, however, as observable qualities can be delineated for both.) The costs of various measurement methodologies is another crucial consideration. Performance measures are politically sensitive and must be open to careful scrutiny. Surveys can be laborious and expensive to construct and administer.
Historical trends, be they within the institution as a whole, in the evolution of the research group, or in the career of the individual researcher, all influence research output. When measuring the present (i.e. recent) performance of research centres, it is important to consider the historical context of performance for each of these entities. A sketch of the evolutionary progress of the organization or of individual groups within the organization or of the career of a particular researcher can be revealing. Considerations such as whether any of these is in nascent stages, or whether significant milestones have occurred in the organization or in the field, have a bearing on output; sensitivity to such contextual issues will enable more thoughtful interpretation of performance.
On a more practical level, the timing of the organizational assessment process should respect built-in organizational cycles. Assessments should not be conducted at a time of the year when grant applications are due, when staff are unavailable due to vacation season or attendance at conferences, and so forth.
Over time, it might be useful for IDRC and other international granting agencies to develop a data base of normative information about the performance indicators and standards that a wide variety of research centres worldwide have adopted. For example, what are reasonable expectations regarding the number and type of publications? For non-core project funding? For training researchers? Such cumulative, normative data would perhaps help future evaluators (as well as those within the research institution) make judgments. Unfortunately, the state of our knowledge presently causes us to rely on expert judgment as the primary tool for setting standards.
Although the steps taken in conducting an organizational assessment may vary from case to case, there is a general sequence of activities that take place. The following is a list of the basic steps in an organizational assessment. These steps may be carried out by a team or combination of individuals that includes evaluators, the donor, the organizational members, and various stakeholders.
| Exhibit 6.4: Basic steps in organizational analysis. |
|---|
|
It is important that organizational performance be viewed as more than the sum of organizational products. Performance should have a synergetic quality. Institutions ideally give back to society outputs whose value is greater than the total resources invested; they are organized to realize these gains, and they should be accountable for providing added value to the investments made in them.
Assessment of performance occurs informally, on an ongoing basis, whether or not the organization engages formally in performance assessments. Such assessments can be driven by various stakeholders and clients. For instance, governments may decide to increase or decrease funds to an institution in part because of perceptions of the organization's existing or potential performance. Clients can decide to use or not to use the services of a research institution because of their own assessments of its performance. Stakeholders often either implicitly or explicitly link funding to performance and perceived capacity.
By making the informal formal, IDRC, in addition to guiding its own funding strategies, is supporting the development of more transparent and open institutions. By approaching an assessment as a learning process conducted in partnership with its funded institutions, IDRC is fostering their adaptability and sustainable development.
The organization's motivation relates in many ways to the environment, but supersedes it in the sense that many successful organizations rise above the constraints of their context. Through leadership and collective vision, such organizations are able to gather resources and produce quality research despite a nonsupportive context. Such organizations are often nourished by external funding, which makes analysis and understanding of the context and motivation essential if IDRC and other donors are to invest strategically.
Because performance is relative to an organization's basic capacity, the analysis of capacity sets the stage for understanding organizational performance. Capacity is a quantitative notion, whereas performance is both absolute and relative. Performance needs to be assessed in qualitative terms, quantitative terms, and in terms that relate performance to basic organizational capacity.
Given sufficient time and resources, external experts can do a good job of assessing organizations. Such assessments might serve IDRC's and other donor's short-term needs, but the process can be far stronger when the organization becomes a partner in the assessment and participates in the analysis. Ideally, the process contributes to the development of a learning organization capable of improving its own performance through critical self-analysis.
Back to Contents -
To next section
This file was created 29 March 1996
Over the past 30 years there have been many attempts to define performance generally and to apply performance concepts to various organizational types. A number of ideas emerge from the organizational performance literature:
Within research institutions, the quantity and quality of research produced is fundamental to the achievement of the mission. But a research institution's performance must also encompass aspects of organizational functioning that are the necessary underlying conditions for researchers to be productive.
To apply traditional assessment terminology to research organizations, organizational performance must integrate the concepts of "effectiveness" and "efficiency." That is, the organization must be able to meet its goals (effectiveness) and to do so with an acceptable outlay of resources (efficiency). Vitally important as well, particularly to IDRC and other Northern granting agencies, is the Southern organization's sustainability over the long term (ongoing relevance). The organization must be able to develop and implement strategies which will ensure research performance over extended periods of time. To do so, its activities and services must remain realistic and connected to stakeholder needs. For when an organization's services and activities are not relevant or are too far-reaching and costly, organizational survival is at risk.
In summary, the performance of institutions can be conceived as falling within three broad areas: performance in activities that support the mission (effectiveness), performance in relation to the resources available (efficiency), and performance in relation to long-term viability or sustainability (ongoing relevance).
Ideas associated with the performance of research organizations in fulfilment of their missions vary considerably. Each interest group or stakeholder may have a totally different conception of what counts. For instance, scholarly researchers might define performance in terms of the number of refereed articles, whereas senior administrators might define performance as the quantity of financial resources brought into the research centre through grants. Donors might define performance in terms of the beneficial impact of findings or activities on indigenous groups.
Researchers themselves seldom speak with one voice on such matters. Is applied research as valued as theoretical research? Are agronomic practices adapted to local farmer's needs more or less valued than high yield export technologies? Are publications valuable in themselves, or should they only be considered in relation to citation indices by other researchers?
Although few organizations have performance data readily available about their research and training programs and services, it is not difficult to develop mechanisms and approaches for gathering performance data about these outputs. The information used by organizations can take the form of input data (e.g. the number of people or students served), process data (e.g. the number of research projects in progress), output data (e.g. the number of articles accepted for publication), or impact data (e.g. the number of patients impacted by the application of a particular medical technique).
While it is relatively easy to develop an information system to help institutions assess their performance, it is far more difficult to obtain consensus on the merits of particular performance indicators. It is more difficult yet to arrive at value judgments regarding acceptable levels of quantity and quality for each performance indicator. At issue is, how does the specific institution define "good" performance, and, perhaps most fundamental, does good performance move the organization towards attaining its mission?
| Exhibit 6.1: Typical indicators of performance in research institutions: effectiveness. |
|---|
Effectiveness
|
| Exhibit 6.2: Typical indicators of performance in research institutions: efficiency. |
|---|
Efficiency
|
| Exhibit 6.3: Typical indicators of performance in research institutions: ongoing relevance. |
|---|
Ongoing relevance
|
Regarding the effectiveness of research output, organizational goals and priorities provide the starting point for performance measurement. Performance indicators can and should include both quantitative and qualitative measures. A matter of some concern is that certain institutions have exclusively adopted numerical measures (e.g. the number of publications in peer-reviewed journals, the number of citations per author, the amount of money received by the organization for contract research, the number of patents earned, the number of students receiving graduate and post-graduate training, and so on.) In IDRC's view, qualitative judgements by stakeholders on the impact of research production are equally vital data.
IDRC also needs data on the management of institutions the efficiency domain. There are many approaches to such analysis, ranging from financial audits to surveys of organizational culture.
As well, there should be some analysis of the organization's ability to adapt to changing conditions. Organizational priorities, either written or inferred, transcend the individual programs and services being provided and include broad issues vital to organizational survival. The extent to which issues on this dimension will be measured is a matter for negotiation.
Some areas are more difficult than others to measure. For instance, while productivity is relatively simple to assess using numerical data, more abstract performance concepts such as creativity or adaptiveness elude clear-cut measurement. (Their measurement is not impossible, however, as observable qualities can be delineated for both.) The costs of various measurement methodologies is another crucial consideration. Performance measures are politically sensitive and must be open to careful scrutiny. Surveys can be laborious and expensive to construct and administer.
Historical trends, be they within the institution as a whole, in the evolution of the research group, or in the career of the individual researcher, all influence research output. When measuring the present (i.e. recent) performance of research centres, it is important to consider the historical context of performance for each of these entities. A sketch of the evolutionary progress of the organization or of individual groups within the organization or of the career of a particular researcher can be revealing. Considerations such as whether any of these is in nascent stages, or whether significant milestones have occurred in the organization or in the field, have a bearing on output; sensitivity to such contextual issues will enable more thoughtful interpretation of performance.
On a more practical level, the timing of the organizational assessment process should respect built-in organizational cycles. Assessments should not be conducted at a time of the year when grant applications are due, when staff are unavailable due to vacation season or attendance at conferences, and so forth.
Over time, it might be useful for IDRC and other international granting agencies to develop a data base of normative information about the performance indicators and standards that a wide variety of research centres worldwide have adopted. For example, what are reasonable expectations regarding the number and type of publications? For non-core project funding? For training researchers? Such cumulative, normative data would perhaps help future evaluators (as well as those within the research institution) make judgments. Unfortunately, the state of our knowledge presently causes us to rely on expert judgment as the primary tool for setting standards.
Although the steps taken in conducting an organizational assessment may vary from case to case, there is a general sequence of activities that take place. The following is a list of the basic steps in an organizational assessment. These steps may be carried out by a team or combination of individuals that includes evaluators, the donor, the organizational members, and various stakeholders.
| Exhibit 6.4: Basic steps in organizational analysis. |
|---|
|
It is important that organizational performance be viewed as more than the sum of organizational products. Performance should have a synergetic quality. Institutions ideally give back to society outputs whose value is greater than the total resources invested; they are organized to realize these gains, and they should be accountable for providing added value to the investments made in them.
Assessment of performance occurs informally, on an ongoing basis, whether or not the organization engages formally in performance assessments. Such assessments can be driven by various stakeholders and clients. For instance, governments may decide to increase or decrease funds to an institution in part because of perceptions of the organization's existing or potential performance. Clients can decide to use or not to use the services of a research institution because of their own assessments of its performance. Stakeholders often either implicitly or explicitly link funding to performance and perceived capacity.
By making the informal formal, IDRC, in addition to guiding its own funding strategies, is supporting the development of more transparent and open institutions. By approaching an assessment as a learning process conducted in partnership with its funded institutions, IDRC is fostering their adaptability and sustainable development.
The organization's motivation relates in many ways to the environment, but supersedes it in the sense that many successful organizations rise above the constraints of their context. Through leadership and collective vision, such organizations are able to gather resources and produce quality research despite a nonsupportive context. Such organizations are often nourished by external funding, which makes analysis and understanding of the context and motivation essential if IDRC and other donors are to invest strategically.
Because performance is relative to an organization's basic capacity, the analysis of capacity sets the stage for understanding organizational performance. Capacity is a quantitative notion, whereas performance is both absolute and relative. Performance needs to be assessed in qualitative terms, quantitative terms, and in terms that relate performance to basic organizational capacity.
Given sufficient time and resources, external experts can do a good job of assessing organizations. Such assessments might serve IDRC's and other donor's short-term needs, but the process can be far stronger when the organization becomes a partner in the assessment and participates in the analysis. Ideally, the process contributes to the development of a learning organization capable of improving its own performance through critical self-analysis.
Back to Contents -
To next section
This file was created 29 March 1996
Over the past 30 years there have been many attempts to define performance generally and to apply performance concepts to various organizational types. A number of ideas emerge from the organizational performance literature:
Within research institutions, the quantity and quality of research produced is fundamental to the achievement of the mission. But a research institution's performance must also encompass aspects of organizational functioning that are the necessary underlying conditions for researchers to be productive.
To apply traditional assessment terminology to research organizations, organizational performance must integrate the concepts of "effectiveness" and "efficiency." That is, the organization must be able to meet its goals (effectiveness) and to do so with an acceptable outlay of resources (efficiency). Vitally important as well, particularly to IDRC and other Northern granting agencies, is the Southern organization's sustainability over the long term (ongoing relevance). The organization must be able to develop and implement strategies which will ensure research performance over extended periods of time. To do so, its activities and services must remain realistic and connected to stakeholder needs. For when an organization's services and activities are not relevant or are too far-reaching and costly, organizational survival is at risk.
In summary, the performance of institutions can be conceived as falling within three broad areas: performance in activities that support the mission (effectiveness), performance in relation to the resources available (efficiency), and performance in relation to long-term viability or sustainability (ongoing relevance).
Ideas associated with the performance of research organizations in fulfilment of their missions vary considerably. Each interest group or stakeholder may have a totally different conception of what counts. For instance, scholarly researchers might define performance in terms of the number of refereed articles, whereas senior administrators might define performance as the quantity of financial resources brought into the research centre through grants. Donors might define performance in terms of the beneficial impact of findings or activities on indigenous groups.
Researchers themselves seldom speak with one voice on such matters. Is applied research as valued as theoretical research? Are agronomic practices adapted to local farmer's needs more or less valued than high yield export technologies? Are publications valuable in themselves, or should they only be considered in relation to citation indices by other researchers?
Although few organizations have performance data readily available about their research and training programs and services, it is not difficult to develop mechanisms and approaches for gathering performance data about these outputs. The information used by organizations can take the form of input data (e.g. the number of people or students served), process data (e.g. the number of research projects in progress), output data (e.g. the number of articles accepted for publication), or impact data (e.g. the number of patients impacted by the application of a particular medical technique).
While it is relatively easy to develop an information system to help institutions assess their performance, it is far more difficult to obtain consensus on the merits of particular performance indicators. It is more difficult yet to arrive at value judgments regarding acceptable levels of quantity and quality for each performance indicator. At issue is, how does the specific institution define "good" performance, and, perhaps most fundamental, does good performance move the organization towards attaining its mission?
| Exhibit 6.1: Typical indicators of performance in research institutions: effectiveness. |
|---|
Effectiveness
|
| Exhibit 6.2: Typical indicators of performance in research institutions: efficiency. |
|---|
Efficiency
|
| Exhibit 6.3: Typical indicators of performance in research institutions: ongoing relevance. |
|---|
Ongoing relevance
|
Regarding the effectiveness of research output, organizational goals and priorities provide the starting point for performance measurement. Performance indicators can and should include both quantitative and qualitative measures. A matter of some concern is that certain institutions have exclusively adopted numerical measures (e.g. the number of publications in peer-reviewed journals, the number of citations per author, the amount of money received by the organization for contract research, the number of patents earned, the number of students receiving graduate and post-graduate training, and so on.) In IDRC's view, qualitative judgements by stakeholders on the impact of research production are equally vital data.
IDRC also needs data on the management of institutions the efficiency domain. There are many approaches to such analysis, ranging from financial audits to surveys of organizational culture.
As well, there should be some analysis of the organization's ability to adapt to changing conditions. Organizational priorities, either written or inferred, transcend the individual programs and services being provided and include broad issues vital to organizational survival. The extent to which issues on this dimension will be measured is a matter for negotiation.
Some areas are more difficult than others to measure. For instance, while productivity is relatively simple to assess using numerical data, more abstract performance concepts such as creativity or adaptiveness elude clear-cut measurement. (Their measurement is not impossible, however, as observable qualities can be delineated for both.) The costs of various measurement methodologies is another crucial consideration. Performance measures are politically sensitive and must be open to careful scrutiny. Surveys can be laborious and expensive to construct and administer.
Historical trends, be they within the institution as a whole, in the evolution of the research group, or in the career of the individual researcher, all influence research output. When measuring the present (i.e. recent) performance of research centres, it is important to consider the historical context of performance for each of these entities. A sketch of the evolutionary progress of the organization or of individual groups within the organization or of the career of a particular researcher can be revealing. Considerations such as whether any of these is in nascent stages, or whether significant milestones have occurred in the organization or in the field, have a bearing on output; sensitivity to such contextual issues will enable more thoughtful interpretation of performance.
On a more practical level, the timing of the organizational assessment process should respect built-in organizational cycles. Assessments should not be conducted at a time of the year when grant applications are due, when staff are unavailable due to vacation season or attendance at conferences, and so forth.
Over time, it might be useful for IDRC and other international granting agencies to develop a data base of normative information about the performance indicators and standards that a wide variety of research centres worldwide have adopted. For example, what are reasonable expectations regarding the number and type of publications? For non-core project funding? For training researchers? Such cumulative, normative data would perhaps help future evaluators (as well as those within the research institution) make judgments. Unfortunately, the state of our knowledge presently causes us to rely on expert judgment as the primary tool for setting standards.
Although the steps taken in conducting an organizational assessment may vary from case to case, there is a general sequence of activities that take place. The following is a list of the basic steps in an organizational assessment. These steps may be carried out by a team or combination of individuals that includes evaluators, the donor, the organizational members, and various stakeholders.
| Exhibit 6.4: Basic steps in organizational analysis. |
|---|
|
It is important that organizational performance be viewed as more than the sum of organizational products. Performance should have a synergetic quality. Institutions ideally give back to society outputs whose value is greater than the total resources invested; they are organized to realize these gains, and they should be accountable for providing added value to the investments made in them.
Assessment of performance occurs informally, on an ongoing basis, whether or not the organization engages formally in performance assessments. Such assessments can be driven by various stakeholders and clients. For instance, governments may decide to increase or decrease funds to an institution in part because of perceptions of the organization's existing or potential performance. Clients can decide to use or not to use the services of a research institution because of their own assessments of its performance. Stakeholders often either implicitly or explicitly link funding to performance and perceived capacity.
By making the informal formal, IDRC, in addition to guiding its own funding strategies, is supporting the development of more transparent and open institutions. By approaching an assessment as a learning process conducted in partnership with its funded institutions, IDRC is fostering their adaptability and sustainable development.
The organization's motivation relates in many ways to the environment, but supersedes it in the sense that many successful organizations rise above the constraints of their context. Through leadership and collective vision, such organizations are able to gather resources and produce quality research despite a nonsupportive context. Such organizations are often nourished by external funding, which makes analysis and understanding of the context and motivation essential if IDRC and other donors are to invest strategically.
Because performance is relative to an organization's basic capacity, the analysis of capacity sets the stage for understanding organizational performance. Capacity is a quantitative notion, whereas performance is both absolute and relative. Performance needs to be assessed in qualitative terms, quantitative terms, and in terms that relate performance to basic organizational capacity.
Given sufficient time and resources, external experts can do a good job of assessing organizations. Such assessments might serve IDRC's and other donor's short-term needs, but the process can be far stronger when the organization becomes a partner in the assessment and participates in the analysis. Ideally, the process contributes to the development of a learning organization capable of improving its own performance through critical self-analysis.
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