Exercise I: To further explore the learning process, I asked participants to spend two minutes making statements about the problematic situation they believed to be true. If they exceeded the
Analysis 99 a way to give attention, show appreciation, and help the employee not get stuck in details that he
3. Practice: The purpose of the research was to find practically useful ways of explaining the learning processes ABMs can facilitate in management education. Together the contributions
7.4. Future research
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automatically judges the sensation of coldness as something very negative. Even if P21 had used a more neutral word, such as cold, this is still a word that has been used in relation to many complex metaphors that has placed the word in evaluative contexts. Thus, the moment a word is used to describe the primary metaphor, the history of this word may add something to this metaphor. Thus, if experiencing through primary metaphors is a matter of experiencing a phenomenon in terms of sensory-‐motor experience, then this action is not exactly the same as naming this sensory experience, since naming is already evoking complex metaphors. Naming the sensory experience can be seen as a way to describe the experience that already happened
wordlessly. For example, when in AI, the participants spent time on creating poems, photographs, and drawings that evoked the same sensory experience as the problematic situation they are exploring, it can be seen as an activity that makes them spend time sensing the actual sensory experience they use to represent the problem – i.e. the simulation. The minute this simulation is called something, the words used are likely to evoke a complex metaphor and, thus, a context for evaluation of the sensory experience. To lessen this effect, it is important to encourage the use of
‘neutral’ sensory words (i.e. the sensory word cold rather than value laden word ‘indefrossen’) and to encourage taking time to sense, before putting words to the sensation.
The two practical contributions discussed in this section seem valid for the facilitation of AI and MI, probably valid for other ABMs as well, and possibly valid for management education in general, when engaging with problematic situations the participants do not know how to deal with.
7.4. Future research
Above, I have suggested several areas for future research. In this section, I summarise these and provide further suggestions for future research.
7.4.1. New focus for research on ABMs in management education
The main contribution to the field of ABMs in management education was the view of ABMs as methods for producing experience that later could be used to enable and support particular ways of perceiving and acting. This view brings a particular perspective to the field of ABMs in
management education. From this perspective, future research should focus on asking:
• What kinds of experience does the inclusion of art and art processes in learning interventions enable?
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• How does having had these experiences impact the way managers perceive and act?
Answering these questions could include an analysis of the kind of interactions participants may experience with each other, with the facilitator, and with their own moment-‐to-‐moment
experience during interventions where art and art processes are included. I believe this is a more fruitful focus than the focus on defining what kind of data ABMs enable participants to reflect upon, or what learning outcomes or even what learning processes ABMs facilitate.
To illustrate this focus further, one could say that the AI uses art creation to create an experience of non-‐evaluative, sensory perception, and that managers can learn to let go of judgments about others or about themselves from having this experience. Similarly, MI uses art creation to create an experience of connecting previously unconnected experiences, and managers can learn to import behaviour.
I will now look at some more specific research projects this general research programme could include.
7.4.2. Other ABMs beyond AI and MI
AI and MI are just two particular ABMs. Future research could explore what kind of art-‐based processes beyond AI and MI are used today, and whether these also generate learning outcomes that match the experience enabled by their particular way of using art in the learning
intervention. To give an impression of the breadth of the ways in which ABMs use art, consider the following types of ABMs:
Sometimes, the managers will create the metaphors themselves using art-‐based media (as in MI).
In other cases, the facilitator will select works of art that he thinks are good metaphors (Cowan, 2007). In yet other cases, an artist is commissioned to create works of art for a specific
organisation that will create debate and raise awareness about specific organisational issues or themes (Barry & Meisiek, 2010b). Sometimes the metaphors will represent a problematic situation (as in MI), but other times it will represent abstract concepts of importance to
managerial work (Cowan, 2007), the managers self-‐understanding (Wicks & Rippin, 2010), the organisation’s strategy (Darsø, 2004; Heracleous & Jacobs, 2008), or the organisational identity (Stefan Meisiek & Hatch, 2008). Sometimes art is used because it can create naturalistic
reenactments of situations at work, including emotional and physical dimensions that can be lost in rational conversational approaches, as is the case in forum theatre (Gibb, 2004). Sometimes art
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is used because it can generate new insight exactly by moving the conversation to a parallel universe that does not reflect the work life naturalistically. For example, when leadership is explored through leading and following in dance (Springborg & Sutherland, 2014). Sometimes, part of the ABMs is a facilitated reflection aiming at extracting learning from the experience and translating it into something applicable in the work context. Sometimes there is no such
facilitated translation, and there is a belief that the experience impacts work life on its own (Romanowska et al., 2011).
All of these different ways of using art in learning interventions are likely to enable different kinds of experiences, and these experiences are likely to have different kinds of impacts on how managers perceive and act. Future research could explore these different ABMs
It is important here to mention that it is not easy to predict how having a particular experience affects how managers perceive and engage with work situations. I cannot imagine that I could have predicted that experiencing creating metaphors would have enabled import of behaviour, or even that focusing on sensory experience would have enabled a more non-‐judgmental perception of self and others. Even if these effects seem almost obvious once they are formulated. Thus, I believe that empirical research is a necessary part of answering the above questions.
7.4.3. Refining MI
Whereas 80% of the participants in the AI groups experienced removal of judgments, only 45%
of the participants in the MI groups experienced import of behaviour. In the analysis, I found that those who experienced import of behaviour created new complex metaphors based on different primary metaphors. As mentioned in section 5.4.6, future research could explore whether a version of MI, specifically designed to generate new complex metaphors based on different primary metaphors, would increase the likelihood of participants importing new behaviour.
7.4.4. Artists’ complex and primary metaphors for working with art
My original intention when creating AI was to find a way to take people who were not familiar with creating art, through a process that resembled the process I, personally, go through when engaging with art creation – whether it is poetry, music, or dance. Thus, AI is modeled on my own approach to art creation. Thus, AI can be seen as embodying the metaphors I use to support and enable my particular way of engaging with art creation. It is very likely that other artists have different metaphors, which support and enable their particular ways of engaging with art
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For example, I use the primary metaphor of receiving, for both art creation and art appreciation. I sense an object and receive whatever this perception triggers. I also use the metaphor of interest.
I try to find something I’m truly interested in and focus my awareness on that for an extended period of time. These metaphors are very much embedded in the way I facilitate AI and MI, and thus, participants are likely to experience how it is to engage with art-‐creation through these metaphors.
Future research could focus on formulating primary and complex metaphors other artists use to support and enable their own practices of art creation and art appreciation.
7.4.5. The impact of reflection and/or framing on ABMs
As mentioned in section 5.3.2, I did not find clear evidence for any specific effects of the pre-‐
interview in combination with either AI or MI. However, reading through the material gave me a hunch that the pre-‐interview might frame the intervention in a way that on one hand limits its potential and on the other hand makes people feel more safe by creating a sense of
understanding the purpose of the intervention. Future research could explore this hunch.
7.4.6. Other effects of AI and MI
As mentioned in section 5.7.1, AI, MI, and interviewing might have had different impacts on the participants’ ability to produce richer descriptions of the problematic situation by including emotions and sensory experience in their descriptions – as claimed by authors promoting ABMs as a way of supporting reflexivity (Cunliffe, 2002; Sutherland, 2013). Similarly, the different interventions may also have had different impacts on participants’ ability to challenge and
develop their own perceptions through active experimentation and dialogue, rather than through theorising or through making and interpreting observations without direct dialogue. As
mentioned, I did not explore these effects in detail, because the participants had different skill levels at the start of the research and the research was not set up in a way that was useful to explore the development of such skills.
However, future research could explore the impact of AI and MI on such skills.
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