Archive for the ‘People Management’ Category
Managing participant motivation in knowledge management projects
Introduction
One consequence of the increasing awareness of knowledge as an organisational asset is that many organisations have launched projects aimed at managing knowledge. Unfortunately, a large number of these efforts focus entirely on technical solutions, neglecting the need for employee participation. The latter is important; as stated in this paper, published a decade ago, “Knowledge transfer is about connection not collection, and that connection ultimately depends on choice made by individuals…” This suggests that participant motivation is a key success factor for knowledge management initiatives. A recent paper entitled, Considering Participant Motivation in Knowledge Management Projects, by Allen Whittom and Marie-Christine Roy looks at theories of motivation from the context of knowledge management projects. This post is a summary and annotated review of the paper.
Many researchers claim that the failure rate of knowledge management projects is high, but there seems to be some confusion as to just how high the figure is (see this paper, for example). In the introduction to their paper, Whittom and Roy claim that the failure rate may be higher than 80% – but they offer no proof. Still, with many independent researchers quoting figures ranging from 50 to 80%, one can take it as established that it is a matter that merits investigation. Accordingly, many researchers have looked at causes of failure of knowledge management projects (see this paper or this one). Some specifically identify lack of participant motivation as a cause of failure (see this paper). Whittom and Roy claim that despite the work done thus far, knowledge management research does not provide any suggestions as to how motivation is to be managed in such projects. Their aim, therefore, is to:
- Present concepts from theories of motivation that are relevant to knowledge management projects.
- Propose ways in which project managers can foster participant motivation in a way that is consistent with business objectives.
These points are covered in the next two sections. The final section presents some concluding remarks.
Theoretical Overview
Motivation and Knowledge Transfer
The authors define motivation as the underlying reason(s) for a person’s actions. Motivation is usually classified as extrinsic or intrinsic depending on whether its source is external or internal to the individual. People who are extrinsically motivated are driven by rewards such as bonuses or promotions. Typically such individuals work for rewards. On the other hand intrinsically motivated individuals are self-driven, and need little supervision. Their enthusiasm, however, depends on whether or not their personal goals are congruent with the task at hand. This is important: their aims and objectives may not always be aligned with business goals. Further, intrinsically motivated individuals perform creative or complex tasks better than others, but this type of motivation varies greatly from one person to another and cannot be controlled by management. See my post on motivation in project management for a comprehensive discussion on extrinsic and intrinsic motivation.
The authors then discuss the link between motivation and the willingness to share knowledge. Knowledge falls into two categories: tacit and explicit. Tacit knowledge is hard to codify and communicate (e.g. a skill, such as riding a bicycle) whereas explicit knowledge can be formalised and transmitted (e.g. how to open a bank account). Tacit knowledge is in “people’s heads” and is consequently harder to capture. More often than not, though, it turns out to be more valuable than explicit knowledge. In their paper entitled, Motivation, Knowledge Transfer and Organisational Forms, Osterloh and Frey state that, “…Intrinsic motivation is crucial when tacit knowledge in and between teams must be transferred…” Following this work, Gartner researchers Morello and Caldwell proposed a model in which intrinsic motivation drives the creation and sharing of tacit knowledge which in turn drives the dissemination and use of tacit knowledge in the organisation (I couldn’t find a publicly available copy of their work – but there is an illustration of the model in Figure 1 Whittom and Roy’s paper).
The message from motivation research is clear: intrinsic motivation is critical to the success of knowledge management projects.
Rewards and Recognition
Rewards and recognition are “levers of motivation”: they can be used to enhance and direct employee motivation towards achieving organisational goals. Reward systems are aimed at aligning individual efforts with organisational objectives. Recognition systems, on the other hand, are designed to express public appreciation for high standards of achievement or competence. These may be set according to criteria that diverge from preset objectives (as an example – a public thanks for a job well done can be made irrespective of whether the job is in line with company objectives)
Rewards can be extrinsic (not related to the task) or intrinsic (related to the task) and material or non-material. Extrinsic rewards are typically material – i.e. they involve giving the recipient something tangible. Financial incentives are the most common form of extrinsic rewards because they are easily administered through the pay system. Extrinsic rewards can also be non-financial (gift certificates or a meal at a nice restaurant, for example). For the same investment, non-financial rewards are found to have a more lasting effect than financial ones. This makes sense: people are more likely to remember a memorable meal than a few hundred dollar raise; the latter is sometimes forgotten as soon as it comes into effect. A downside of financial rewards is that they are easily forgotten and may actually decrease intrinsic motivation (see this paper by David Beswick). Another is that they may encourage sub-standard work, particularly in cases where benchmarks are based on volume rather than quality of output.
Extrinsic rewards can also be non-material – promotions and training opportunities, for example (see this paper by Wolfgang Semar for more on non-material, extrinsic rewards).
Intrinsic rewards generally pertain to the satisfaction derived from performing a task. The moral satisfaction arising from a job done well is also a form of intrinsic reward. It should be clear that these rewards work only for intrinsically motivated individuals. Intrinsic rewards are invariably non-material and they cannot be controlled by management. However, awareness of factors influencing intrinsic motivation can help managers create the right environment for intrinsically motivated individuals. Kenneth Thomas, in his book entitled, Intrinsic Motivation at Work – Building Energy and Commitment, identifies four psychological factors that can influence intrinsic motivation. They are:
- Feelings of accomplishment: These can be enhanced by devising interesting work tasks and aligning them with employee interests.
- Feelings of autonomy: These can be enhanced by empowering employees with responsibility and authority to do their work.
- Feelings of competence: These can be enhanced by offering employees opportunities to demonstrate and enhance their expertise.
- Feelings of progress: These can be enhanced by fostering a collaborative atmosphere in which project successes are celebrated.
These factors are (to an extent) under management control. If nothing else, it is worth being aware of them so that one can avoid doing things that might reduce intrinsic motivation.
Motivation crowding and psychological contracts
The authors then examine the effects of rewards on intrinsic motivation in the context of knowledge management projects (Recall that intrinsic motivation was seen to be a key success factor in knowledge management projects). They use motivation crowding theory to frame their discussion. Crowding theory suggests that intrinsic motivation can be enhanced (“crowded-in”) or undermined (or “crowded-out”) by external rewards.
To understand motivation crowding, one has to look at how extrinsic (or external) rewards work. Basically there are two ways in which an extrinsic reward can be perceived. To quote from the paper,
External interventions, such as rewards, may influence this perception either through information or control. If people see a reward as being related to their competence (information), intrinsic motivation for the task will be encouraged or maintained. On the other hand, if they see a reward as a way to control their performance or autonomy, intrinsic motivation would be decreased.
Extrinsic rewards can have a positive or negative effect on information and control. This is best understood through an example: consider a company that announces cash incentives for the top three contributors to a knowledge database. This reward has a positive control aspect (i.e. encourages participation) but a negative information aspect (i.e. no check on quality of contributions). Consequently, the reward encourages high volume of contributions with no regard to quality. This situation typically undermines or “crowds-out” intrinsic motivation. Note that motivation “crowding out” is sometimes referred to as motivation eviction in the literature.
Crowding-out is also seen in recurring tasks. For example, if a monetary incentive is offered for a task, there will be an expectation that the incentive be offered the next time around. On the other hand, non-monetary interventions such as increased employee involvement and autonomy in project decision making can “crowd-in” or enhance intrinsic motivation.
These effects are intuitively quite obvious, but it’s interesting to see them from a social science / economics point of view. If you’d like to find out more, I highly recommend the paper, Motivation crowding theory: A survey of empirical evidence, by Bruno Frey and Reto Jegen.
The take home lesson from the above is that intrinsic motivation can sometimes be negatively affected by external rewards. Manager, beware.
Whittom and Roy also discuss the notion of psychological contracts between the employer and employee. These contracts, distinct from formal employment contracts, refer to the unstated (but implied) informal, mutual obligations pertaining to respect, autonomy, work ethic, fairness etc. An employee’s intrinsic motivation can be greatly reduced if he or she perceives that the contract has been breached. For example, if an employee’s regarding improvements to a knowledge database are ignored, she might feel undervalued. In her eyes, management (and hence the organisation) has lost credibility, and the psychological contract has been violated. In psychological contract theory, personal relationships are seen to be an important driver of intrinsic motivation: people are more likely to enjoy working in teams in which they have good relations with team members.
Discussion
Practices to foster intrinsic motivation
One conclusion from the aforementioned theories is that intrinsic motivation is essential for the transfer of tacit knowledge. Accordingly, the authors suggest the following practices to maintain and enhance intrinsic motivation of employees involved in knowledge management projects:
- Avoid the use of monetary rewards. Instead, use non-monetary rewards that recognize competence. Monetary rewards may also encourage the transfer of unimportant knowledge.
- Involve employees in the formulation of project objectives.
- Encourage team work and team bonding. A good team dynamic encourages the sharing of tacit knowledge. The technique of dialogue mapping facilitates the sharing and capture of knowledge in a team environment.
- Emphasise how the employee might benefit from the project – this is the old WIIFM factor. This needs to be done in a way that shows how the benefit is integrated into the organisation’s culture – i.e. the benefit must be a realistic and believable one, else the employee will see right through it.
- Good communication between management and employees. This one is a “usual suspect” that comes up in virtually all best practice recommendations. Unfortunately it is seldom done right.
Contextual recommendations based on knowledge and motivation types
Theories of motivation indicate that, as far as motivation for knowledge sharing is concerned, one size does not fit all. The particular strategy used depends on the nature of the knowledge that is being captured (tacit or explicit), participants’ motivational drivers (intrinsic or extrinsic) and organizational resources. Based on this, the authors discuss the following contexts
- Tacit knowledge management / intrinsic motivation: This is an ideal situation. Here the manager’s role is to support participants in achieving project objectives rather than to influence their behaviour through rewards. Extrinsic rewards should be avoided because participants are intrinsically motivated.
- Tacit knowledge management / extrinsic motivation: From the preceding discussion of motivation theories, it is clear that this is not a good situation. However, all is not lost. A manager can develop knowledge management strategies based on structured training, discussion groups etc. to help codify and transfer tacit knowledge. These strategies should highlight the project benefits (for the employee and the organisation). Further, extrinsic rewards can be offered, but their “crowding-out” effect over time should be kept in mind.
- Explicit knowledge / intrinsic motivation: Here the knowledge management aspect is easier because the knowledge is explicit. Typically, once the objectives are identified, it is clear how knowledge should be captured and organized. Obviously, structured training and tools such as Wikis and databases can help facilitate knowledge transfer. Further, these will be more effective than case (2) above, because the participants are intrinsically motivated.. Recommendations, as far as rewards are concerned are the same as in the first case.
- Explicit knowledge / extrinsic motivation: For knowledge management the same considerations apply as in case (3). However, these strategies will be less effective because employees are extrinsically motivated. For rewards management, the considerations of case (2) apply.
As discussed above, the motivation strategy should be determined by whether the team members are intrinsically or extrinsically motivated. Unfortunately, though, the strategy often dictated by the culture of the organization – the manager may have little say in determining it. The authors do not discuss what a manager might do in such a situation.
Conclusion
The paper presents no new data or analysis of existing data. As such it must be evaluated on the basis of new concepts and theoretical constructs that it presents. From this perspective there’s little that’s new in this paper. That said, project managers leading knowledge management projects might find the paper a worthwhile read because of its coverage of motivation theories (crowding theory and psychological contracts, in particular).
Let me end with an extrapolation of the above discussion to software projects. The holy grail of knowledge management initiatives is to capture tacit knowledge. By definition, this knowledge is difficult to codify. One sees something similar in requirements gathering for application software. The analyst needs to capture all the explicit and tacit process knowledge that’s in users’ heads. The former is easy to capture; the latter isn’t. As a result requirements usually do not capture tacit process knowledge. This is one aspect of what Brooks referred to as the essential problem of software design – figuring out what the software really needs to do (see this post for more on Brooks’ argument). Well designed software embodies both kinds of knowledge, so software projects are knowledge management projects in a sense. As far as motivation is concerned, therefore, the theories and conclusions sketched above should apply to software projects. An intrinsically motivated development team will improve the chances of success greatly; a trite statement perhaps, but one that may resonate with those who have had the privilege of working with such teams.
A quick test of organisational culture
Organisational culture is defined by the values and norms that are shared by people and groups in an organisation. These values and norms, in turn, influence how people interact with each other and with outsiders. That’s well and good, but how does one determine an an organisation’s culture? In my opinion, this is best evaluated by looking at how people react in typical work situations. What follows is a quick quiz to test an organisation’s culture based on this principle.
Note that the test can also be applied to projects – as projects are temporary organisations. Typically project and team cultures simply reflect those of the organisations in which they exist. However, there can be differences: a good project or team leader can (to an extent) shield his or her team from the effects of a toxic organisational culture. But that’s fodder for another post. For now, let’s get on with the quiz.
A tip before starting: don’t over-think your answers; your initial response is probably the most accurate one.
Ready? Right, here we go…the sixty-second quiz on your workplace culture:
a) You make a mistake that no one notices. What do you do:
- Keep quiet about it and hopes it remains unnoticed.
- Own up because it is OK to make mistakes around here.
- Dream up a scheme to pin it someone else, preferably a rival for a promotion.
b) You have an idea that might lead to a new product. You
- Use workmates and manager as a sounding board for whether it is any good.
- Start to work it through yourself to see if it is any good.
- Forget about it
c) You have an idea which involves collaborating with someone from another department. You
- Approach the person directly.
- Go through the proper channels – approach your manager who approaches their manager and so on.
- Forget about it: inter-departmental politics would get in the way.
d) People at an organisation-wide event (company day or a project team day out, for example):
- Stick with folks from their departments.
- Mingle, and look like they’re enjoying it.
- Look like they want to be elsewhere. In fact many of them are – they’ve called in sick.
e) A project has gone horribly wrong. Do people
- Look for a scapegoat.
- Say, “I had nothing to do with it.”
- Work together to fix it.
f) Someone from another department approaches you for assistance relating to your area of expertise. Do you
- Help them right away, or as soon as you can.
- Ask them to speak to your manager first.
- Fob them off – you’re way too overworked and don’t really feel like doing a whit of work more than you absolutely have to.
g) What do people in your organisation do when they are annoyed by some aspect of their job? (Note: see this post for more on this question)
- They complain about it.
- They ignore it.
- They fix it.
h) The atmosphere in cross-departmental meetings in your organisation is generally:
- Cordial.
- Tense
- Neutral
i) An impossible deadline looms. In order to meet it you
- Work overtime because you have to.
- Work overtime because you want to.
- This question is inapplicable – you never have impossible deadlines.
j) You’ve done something brilliant that saves the organisation a packet. Your manager:
- Acknowledges your efforts publicly.
- Acknowledges your efforts privately.
- Grabs the glory.
k) You’ve worked overtime on a project and its all come good. You get
- A pat on the back.
- A pat on the back and something tangible (a bonus, a meal or at least a movie voucher)
- Nothing (We pay you a salary, don’t we?)
l) You’re feeling under the weather, but are not really sick (Put it this way: no doctor would give you a certificate). However, you honestly don’t think you can make it through the work day. What do you do?
- Thank God and take the day off.
- Go to work because you want to.
- Go to work because you have to.
Score:
The score for each response is the number in brackets against the choice you made.
a. 1 (5) 2(10) 3(0)
b. 1(10) 2(5) 3(0)
c. 1(10) 2(5) 3(0)
d. 1(5) 2(10) 3(0)
e. 1(0) 2(5) 3(10)
f. 1(10) 2(5) 3(0)
g. 1(0) 2(5) 3(10)
h. 1(10) 2(0) 3(5)
i. 1(0) 2(5) 3(10)
j. 1(10) 2(5) 3(0)
k. 1(5) 2(10) 3(0)
l. 1(0) 2(10) 3(5)
What does your score mean?
> 100 : Does your organisation have any vacancies for a PM/dev manager?
80-95 : I bet you enjoy working here.
60-75: Still on the right side of the divide, but things do get unpleasant occasionally
40 -55: Things could be a lot worse – but, they could also be better.
20-35: Things are a lot worse
< 20: Workplace hell?
A good organisational culture is one which encourages and enables people to do the right thing without coercion or fear of consequences. What’s right? Most people just know what is right and what’s not, without having to be told. I can think of no better way to end this post than by quoting from the start of Robert Pirsig’s classic, Zen and The Art of Motorcycle Maintenance:
And what is good, Phædrus,
And what is not good…
Need we ask anyone to tell us these things?
Measuring the unmeasurable: a note on the pitfalls of performance metrics
Many organisations measure performance – of people, projects processes or whatever – using quantitative metrics, or KPIs as they are often called. Some examples of these include: calls answered / hour (for a person working in a contact centre); % complete (for a project task) and orders processed / hour (for an order handling process). The rationale for measuring performance quantitatively is rooted in Taylorism or scientific management. The early successes of Taylorism in improving efficiencies on the shopfloor lead to its adoption in other areas of management. The scientific approach to management underlies the assumption that metrics are a Good Thing, echoing the words of the 19th century master physicist, Lord Kelvin:
When you can measure what you are speaking about, and express it in numbers, you know something about it; but when you cannot measure it, when you cannot express it in numbers, your knowledge of it is of a meager and unsatisfactory kind; it may be the beginning of knowledge, but you have scarcely, in your thoughts, advanced it to the stage of science.
This is a fine sentiment for science: precise measurement is a keystone of physics and other natural sciences. So much so, that scientists expend a great deal of effort in refining and perfecting certain measurements. However, it can be misleading and sometimes downright counterproductive to attempt such quantification in management. This post explains why I think so.
Firstly, there are basically two categories of things (indicators, characteristics or whatever) that management attempts to quantify when defining performance metrics– tangible (such as number of calls per unit time) and intangible (for example, employee performance on a five point scale). Although people attach numerical scores to both kinds of things, I’m sure most people would agree that any quantification of employee performance is way more subjective than number of calls per unit time. Now, it is possible to reduce this subjectivity by associating the intangible characteristic to a tangible one – for example, employee performance can be tied to sales (for a sales rep), r number of projects successfully completed (for a project manager) or customer satisfaction as measured by surveys (for a customer service representative). However, all such attempts result in a limited view of the characteristic being measured. Such associated tangible metrics cannot measure all aspects of the intangible metric in question. In the case at hand – employee performance – factors such as enthusiasm, motivation, doing things beyond the call of duty etc., all of which are important aspects of employee performance, remain unmeasurable. So as a first point we have the following: attaching a numerical score to intangible quantities is fraught with subjectivity and ambiguity.
But even measures of tangible characteristics can have issues. An example that comes to mind is the infamous % complete metric for tasks in a project management. Many project managers record a progress by noting that a task – say data migration – is 70% complete. But, what does this figure mean? Does it mean that 70% of the data has been migrated (and what does that mean anyway?), or is it that 70% of the total effort required (as measured against days allocated to the task) has been expended. Most often, the figure quoted has no explanation as to what it means – and everyone interprets it in a way that best suits their agenda. My point here is: a well designed metric should include an unambiguous statement as to what is being measured, how it is to be measured and how it is to be interpreted. Many seemingly well defined metrics do not satisfy this criterion – the % complete metric being a sterling example. These give the illusion of precision, which can be more harmful than having no measurement at all. My second point is thus summarised as follows: it is hard to design unambiguous metrics, even for tangible performance characteristics. Of course, speaking of the % complete metric, many project managers now understand its shortcomings and use an “all or nothing” approach – a task is either 0% complete (not started or in progress) or 100% complete (truly complete).
Another danger of quantification of performance is highlighted by Eliyahu Goldratt in his book The Haystack Syndrome. To quote from the book:
…Tell me how you measure me and I will tell you how I will behave. If you measure me in an illogical way…do not complain about illogical behaviour…
A case in point is the customer contact centre employee who is measured by calls handled per hour. The employee knows he has to maximise calls taken, so he ends up trying to keep conversations short – even if it means upsetting customers. By trying to improve call throughput, the company ends up reducing quality of service. Fortunately, some service companies are beginning to understand this – read about Repco‘s experience in this article from MIS Australia, for example. The take-home point here is: performance measurements that focus on the wrong metric have the potential to distort employee behaviour to the detriment of the organisation.
Finally, metrics that rely on human judgements are subject to cognitive bias. Specifically, it is well known that biases such as anchoring and framing can play a big role in determining the response received to a question such as, “How would you rate X’s performance on a scale of 1 to 5 (best performance being 5)?” In earlier posts, I’ve written about the role of cognitive biases in project task estimation and project management research. The effect of these biases on performance metrics can be summarised as follows: since many performance metrics rely on subjective judgements made by humans, these metrics are subject to cognitive biases. It is difficult, if not impossible, to correct for these biases.
To conclude: it is difficult to design performance metrics that are unambiguous, unbiased and do not distort behaviour. Use them if you must – or are required to do so by your organisation – but design and interpret them with care because, if used unthinkingly, they can cause terminal damage to employee morale.

