Category: collaboration

  • Coordination, Cooperation, and Collaboration

    Coordination, Cooperation, and Collaboration

    I was musing about the differences between these three concepts. They are not explained clearly in any resource I could find (although many people take a stab at this), so I thought I’d try bending my brain around the problem. The three types of collectivity appear goal-oriented (as in, sharing a common purpose), but there are big differences between the ways in which group members interact – and the reasons for these types of interaction.

    Cooperation is when people share ideas about how to work, or share effort to complete the work towards a shared goal, which is understood in common. People work together to complete a task that would be much more difficult to complete individually. Cooperation often involves deciding how to divide the work between individuals in a group for an optimal outcome – for example, in software or organizational change projects. Work may be divided laterally (each person takes a separate slice of the work towards a deliverable), vertically (each person takes a separate deliverable), or performed collectively, where people share the effort required to achieve a goal (for example, analyzing a business process that is too diverse – involving too many stakeholders – for one person to explore in a reasonable amount of time).

    Coordination is the organization of work-tasks across individuals to achieve a complex goal that requires analysis (breakdown into subtasks) before it can be addressed. People work together towards a common goal within an agreed timeframe, even if they don’t understand all the tasks required at the start. They organize their activities around a schema, which provides a model of the parts of the work to be done. They divide their labor on the basis of this schema, with individuals or sub-groups completing each part, which is assembled into a whole once all relevant parts have been completed. They may collaborate to perform shared subtasks.

    CCC2

    A Work Breakdown Schema (WBS) Used For Coordination of Work

    Coordination may be organized around interim deliverables, which are completed individually from subsets of the work-schema, then assembled once all the parts are complete. The underpinning concept to coordinated work activity is that of a plan – a plan of work, or a plan of how the parts of the whole are organized. This is used to guide the coordination of work, across individuals and across groups. For example, in traditional software project management, work is coordinated around a work breakdown structure (WBS).

    Collaboration is the pooling of effort, to achieve a joint goal, which everyone in the group of coordinated workers may not understand in the same way (so this is not a shared goal – subgoals may emerge through the processes of discussion and experimentation over how to perform the work). People work together, taking different parts of a task, to achieve a goal that, if not understood in common at the start of the process, will probably be understood in the same way by the end. Collaboration requires trust (that other people will work towards a common goal), but it is more adaptive than coordinated work – instead of agreeing a model of the task in advance, collaborators develop a shared model of the task deliverables as they collaborate on the task. Working together increases the amount of shared understanding between people, which allows them to improvise and adapt the plan of work to contingencies that arise. So both goals and work-practices evolve as shared practice increases shared understanding between collaborators. Software developers, working on agile software projects, collaborate in analyzing how to coordinate their team’s work around a feature-breakdown then coordinate team work around each person implementing the next feature in the backlog. Finally, they collaborate around integrating the feature components into a coherent prototype system.

    Coordination schema, where sub-goals are merged to achieve an integrated outcome

    Collaboration schema, where sub-goals are explored and defined independently, then merged to achieve an integrated outcome

    Collaboration is organized around sub-components (or sub-goals) of the planned outcome that are defined separately. Each sub-component emerges through discussion and experimentation, so the parts are managed autonomously by delegating them to different people. It is only at the integration stage that the shape of the whole solution can be understood.

     

  • Designing Social Media Platforms For Online Learning

    Designing Social Media Platforms For Online Learning

    Recently, I have been using a new social media platform to run one of my classes. The idea was, that as we are studying social informatics, we could study the effect of using social media on our own workflows first hand. I also thought that – in these days of daily Facebook and Twitter use – a social media site would add some relevance to the class. My thinking was that the “right-brain” expression that Daniel Pink  extolls as critical to motivation in the 21st Century – the design, narrative, synthesis, empathy, play and sensemaking skills – would be enabled by the use of social media (Pink, 2005). The site has a WIKI, blogs, discussion forums, and an interactive chat facility. I was proposing that we used Google+ hangout for short class discussions by video. For the first week, I set students the task to post to the WIKI, to post to their own blog, to locate some web readings, and to join Google+ if they had not already done so.

    By Thursday (from a Monday start), almost all of the students had posted to the discussion forum. Several had asked me questions by email. But no-one had posted to the Blog or the WIKI. By Friday, two of the more technologically-literate students had made blog posts. But most of the activity was still on the discussion forums – and only three students had provided me with Google+ contact details. Then I started to question my own assumptions. All of the students had used Blackboard for their online course access, which revolves around an asynchronous discussion board. So they were used to interacting via an asynchronous forum. I had assumed that they would be excited to use more “social” media for class interactions or for sharing what they had discovered about the topic. But how did this fit into their idea of how they would behave in an online class? Very badly. Most students sign up for online courses because this provides them with choices about what to do, when. They have a low learning-curve for using a discussion forum. Anything else is hard work.

    Clay Shirky talks about the cognitive surplus that is available from zillions of digitally-literate people with mundane jobs and untapped creativity. He argues that this expresses itself in the groundswell of free, open source software initiatives and in the crowdsourcing phenomenon (Shirky, 2010). But graduate students with a full-time job are already using their cognitive surplus in grappling with new areas of learning. My assumption that they may have some left over for experimenting with social media may be false. The problem is that the learning curve gets in the way of the “right-brain” expression that I wanted to encourage. I may need to rethink how far experimenting with social media is constraining people’s’ ability to express themselves.

    References
    Daniel Pink  (2005) A Whole New Mind: Why Right-Brainers Will Rule the Future. Berkely Publishing: New York.
    Pink (2005) Revenge Of The Right Brain, Wired Magazine, Feb. 2005.
    Clay Shirky (2010) Cognitive Surplus: Creativity and Generosity in a Connected Age, Penguin Press: New York.
    Clay SHirky (2010) An Extract From Cognitive Surplus. Wired Magazine, Business Video, June 16, 2010.
    Clay Shirky and Daniel Pink  (2010) Cognitive Surplus: The Great Spare-Time Revolution. Wired Magazine, June 2010.

  • Organizational Forms Of Coordination

    I have been working for a while on comparing the results from some very complex research studies of collaborative design in groups that span disciplines or knowledge domains. I was stunned to realize that I had different types of group activity depending on the sort of organization.

    By “organization,” I mean the way in which work is organized, not the sort of business they are in. I noted three types or organization, that seem to respond to collaboration in different ways:

    • Tightly-coupled work organizations rely on well-defined work roles and responsibilities to coordinate tasks across group members. When people in this sort of group have to make decisions, they partition these decisions, based on expertise. Because they all know each others’ capabilities and roles, they don’t have to think about who-knows-what: this is just obvious. This type of organization falls down when people don’t perform their role reliably. For example, if the whole system relies on accurate information coming into the group, someone who misinterprets what they observed can undermine the whole group system.
    • Event-driven organizations rely on external crises and pressures to coordinate group action. People in this sort of group have strongly-defined roles in the wider organization that take precedence over their role in the group — for example in management taskforce groups, business managers tend to prioritize their other work over problems that the group needs to fix. When people in this sort of group make decisions, they partition these decisions according to who-claims-to-know-what, who has time to do the work, and who knows people connected to the problem. They get to know each others’ capabilities over time, but this is a slow process as priorities and decisions are driven by external events, rather than a shared perception of what needs to be done. This type of organization falls down when decisions or actions that were put on a back burner because of another crisis inevitably become a crisis themselves because they were not followed through.
    • Loosely-coupled organizations rely on ad hoc work roles and cooperation among group members. This type of group is commonest in business process change groups, professional work-groups, and community groups, where people are there because they share an interest in the outcome.  When people in this sort of group make decisions, they partition these decisions according to who can leverage external connections to find things out and who has an interest in exploring what is involved. People often share responsibilities in these groups, comparing notes to learn about the situation. This type of organization falls down because it is hard to coordinate. So shared tasks are performed badly because someone knew something vital that they failed to communicate back to the group.

    Wild Horses
    Managing group collaboration can be like taming wild horses

    Why would we care about these different types of organization? Well these structures affect how we approach problem-solving and design. If we (process and IS analysts) need to work with one of the tightly-coupled work-groups, we need to identify who has the decision-making capability for what. It would not occur to a tightly-coupled group member that anyone would not realize who to go to for what. If we need to work with an event-driven group, we have to realize that our work will not be a priority for them — it must be made a priority by gaining an influential sponsor who can kick a$$ within the group(!).  If we work with a loosely-coupled group, we need to engage the interest of the group as a whole. Working with individuals can lead to failure, as this type of group makes decisions collaboratively, not on the basis of knowledge or expertise.

    I have a fair amount of evidence for this line of thought and I am pursuing other factors that make these groups different. More to follow …