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Supporting Collaboration

Supporting Collaboration . Chapter 12 Information Systems Management In Practice 7E McNurlin & Sprague. PowerPoints prepared by Michael Matthew Visiting Lecturer, GACC, Macquarie University – Sydney Australia. Chapter 12.

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Supporting Collaboration

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  1. Supporting Collaboration Chapter 12 Information Systems Management In Practice 7E McNurlin & Sprague PowerPoints prepared by Michael Matthew Visiting Lecturer, GACC, Macquarie University – Sydney Australia

  2. Chapter 12 • This chapter discusses various kinds of groups and the types of systems that support their collaborations • This lecture / chapter focuses on groups, rather than individuals, and the systems and technologies that support the communication and interaction among people as they work in groups • As in all the lectures / chapters in this “support systems” section, it emphasizes goal-based systems, which are those systems that support work activities that do not follow the same or similar process every time and also deal with information (and knowledge) that cannot be easily encapsulated • It ends by discussing managing collaboration in virtual organizations • Case examples illustrating collaboration include DaimlerChrysler, The Open Source Movement, Burr-Brown, HICSS, and Boeing-Rocketdyne

  3. Today’s Lecture • Introduction • Teams: The Basis of Organizations • Understanding Groups • Characteristics of Groups • Types of Groups • Communities of Practice • Network Armies

  4. Today’s Lecture cont. • Systems to Support Collaboration • Supporting Same Time/Same Place Collaboration • Supporting Same Time/Same Place Presentations and Discussions • Supporting Different Place Collaboration • Managing Collaboration in Virtual Organizations • Motivating a Virtual Workforce • Governing Virtual Organizations

  5. Introduction • The company of the future could be a collection of online communities: • Some are internal and others reach outside the organization’s boundaries into one’s business ecosystem • Some are designed and formed outright and others just grow on their own • A main job of executives and managers is to foster these communities and the collaboration they engender • A major job of CIOs is to provide the technology to support online communities and online collaboration

  6. IntroductionTeams: the Basis of Organizations • Organizations are becoming information-based, and will thus be organized not like a manufacturing organization but more like a hospital, which is team based • Hospitals: • Have specialty units, each with its own knowledge, training, and language • Work in the units is done by ad hoc teams, assembled to address a patient’s condition and diagnosis • Systems that contain support groups are important because most people spend 60 to 80 percent of their time working with others • Yet, people seem to feel they are most productive when they work alone

  7. IntroductionTeams: the Basis of Organizationscont. • We are in the third evolution in the structure of management: • Around 1900 – separated business ownership from management • 1920s – created the ‘command and control’ corporation • Now – organization of knowledge specialists • Organizations are becoming flatter, with fewer ‘HQ’ staff and many specialists out in operating units • Groupware – electronic tools that support teams of collaborators – represents a fundamental change in the way people think about using computers

  8. Understanding GroupsCharacteristics of Groups • Collaboration is all about getting work done in a group rather than individually • Not all groups are the same. Some characteristics that differentiate groups include: • Membership – Some groups are open, some are closed. • Interaction – Some groups are loosely coupled (salespeople with their own territories), others work closely together (project team) • Hierarchy – Some groups have a chain of command (tiers of committees) • Location – Some members are co-located, some are dispersed • Time – Some groups are short-lived, some are ongoing. Some work intensely at times, others do not • These characteristics illustrate that providing computer-based support for groups is not uniform because of the many variations • Initially = intra-company groups • Now = could be anything!

  9. Understanding GroupsTypes of Groups • Authority groups: involve formal authority (and often hierarchy), such as boss and subordinates; membership closed; coupling tight • Intradepartmental groups: can have members all doing essentially the same work, often under the same boss; membership closed; interaction can range from tight to loose coupling; hierarchy • Project teams: generally have members who work full-time to accomplish a goal within a specific schedule; membership closed; coupling tight; hierarchy

  10. Understanding GroupsTypes of Groups cont. • Interdepartmental work groups: pass work from department to department (purchasing, receiving, accounts payable) in a chain, forming a super group; membership closed; coupling tight; no hierarchy • Committees and task forces: formed to deal with a subject area or issue, then disband; does not require full-time work by the members; membership not too closed; interaction not as tightly coupled • Business relationship groups: relationships with customers, groups of customers, suppliers, and so on; membership open; interaction loosely coupled; no hierarchy

  11. Understanding GroupsTypes of Groups cont. • Peer groups: meet to exchange ideas and opinions; activities of each member are largely independent of the activities of the other members • Membership can range • Interaction loosely coupled • No hierarchy • Networks: groups of people who socialize, exchange information, and expand the number of their personal acquaintances • Electronic groups: include chat rooms, multi-user domains, user groups, and virtual worlds, all forms of groups that have formed on the Internet to socialize, find information, entertain themselves, gain comfort, or just experiment with the new online world • Membership wide open • No hierarchy • Loosely coupled

  12. Understanding GroupsTypes of Groups cont. • “Communities of practice”: group of people who work or play together for so long that they have developed an identifiable way of doing things • e.g. volunteer organization • Network Armies: Widely dispersed groups of people form to further a cause • Open source software • Political parties???

  13. Understanding GroupsCommunities of Practice (CoPs) • CoPs are all about managing knowledge, capturing and spreading know-how, ideas, innovations, and experience • In some enterprises, CoPs form the foundation of their knowledge management efforts • Though informal, some CoPs have had a profound effect on their enterprise • Driving strategies • Creating new lines of business • Spreading best practices, and • Solving seemingly intractable problems • CoPs resist being managed. But some enterprises have seen their value and have learned how to nurture them

  14. DAIMLER CHRYSLERCase Example – Community of Practice • To compete against the Japanese, Chrysler management reorganized the company into “car platforms,” such as Jeep, minivan, truck, and small car • This change significantly reduced development time, but employees with similar jobs needed to communicate across the platforms, so some began meeting informally • Rather than formalize these cross-platform groups, they became known as Tech Clubs (communities of practice) supported and sanctioned by top management • They began to take responsibility for their area of expertise by conducting design reviews, and even revived the old idea of Engineering Books of Knowledge • Creating the books has led to debates and discussions; thus, while they build practice standards, they also build community

  15. Understanding GroupsCommunities of Practice (CoPs) cont. • Identifying Potential CoPs – Companies can use CoP consultants to help employees interested in forming a CoP • Providing a CoP Infrastructure – Executives need to give CoPs legitimacy because they lack resources and formal standing in the enterprise • Measuring CoPs – To measure CoPs appropriately often means measuring their contributions nontraditionally because their effects may only show up in a team member’s department, not in the community’s work

  16. Understanding GroupsNetwork Armies • These sets of individuals and communities are aligned by a cause • So they are as permanent as their common agenda • Their cohesive force is their value system • Their communications are open, taking place in forums that anyone can join

  17. Understanding GroupsNetwork Armiescont. • Network armies have existed for a long time, but they can now suddenly appear with a lot of power because of three developments: • High-speed information flows due to a common language (English) and communication system (Internet) • The geometrically expanding power of networks (adding one person geometrically increases the number of interconnections), and • The international visibility now afforded just about any cause • Hierarchies have a tremendously difficult time fighting network armies because there is no single leader, simply a “hydra with many heads.”

  18. THE OPEN SOURCE MOVEMENTCase Example – Network Army • In the open source movement, members are volunteers and none is paid • They code for the fun of it because they like to fraternize with like-minded developers and be part of a worthy cause, such as “writing software that doesn’t suck.” • The movement has a massive flat structure with: • Four “influencers,” • Six to eight distributors • 200 project leaders, and • 750,000 volunteer developers

  19. THE OPEN SOURCE MOVEMENTCase Example – Network Armycont. • It is not wise to underestimate the claims of network armies • Microsoft, which raised the ire of the open source movement, has found that its past tactics for addressing competitors are not appropriate for dealing with this network army • There are no open source revenues, so Microsoft cannot undercut prices • There’s no one to negotiate with, so the movement cannot be bought and then taken apart • All “negotiations” must be in public, and consist of actions, not words – which is what Microsoft is now doing • Its executives are arguing against the movement in public forums, hoping to dissuade executives from using open source software

  20. Systems to Support Collaboration • Group Decision Support Systems (GDSS) have existed for 25 years • Their intent has been to support the decision making of more than one person, working together to reach a decision • One framework for categorizing the work of groups has time on one dimension (same time/different time) and place on the other (same place/different place)

  21. Systems to Support CollaborationSupporting Same Time/Same Place • This has generally meant supporting meetings • The Sad Truth • You will spend 800 hours + in meetings (30%) • 240 hours plus = ‘wasted’ • More hours than you usually spend on public holidays and annual leave! • The problem with meetings: • Meetings can have many shortcomings • Lack of agenda • People arrive late • The necessary information does not arrive, and so on

  22. Systems to Support CollaborationSupporting Same Time/Same Place cont. • Information Technology Can Help • By eliminating some meetings (using e.g. e-mail instead) • Permitting better preparation (discussing items online beforehand) • IT improves the effectiveness and efficiency of meetings • Note: ‘normal’ disciplines = also critical. ‘IT’ can only do so much • Can’t change culture!!!

  23. BURR-BROWN CORPORATIONCase Example – Same/Same Collaboration • This electronics manufacturer installed a decision room with workstations arranged in a semi-circle on two tiers • Up to 48 people could participate by typing in their comments to the topic at hand at a workstation • Electronic Brainstorming - to generate ideas, simultaneously and anonymously • Issue Analyzer - to organize ideas • Voting tool - to rank ideas • Topic commenter to attach ideas already in system • Policy formation software to study alternatives • Led by a facilitator, the annual three-day strategic planning meeting increasedinvolvement (more comments by more attendees), and the planning process was moreeffective (the group considered issues from a company-wide perspective)

  24. Systems to Support CollaborationSupporting Same/Same Presentations and Discussions • In studying the use of a GSS in a presentation-discussion setting, two researchers hypothesized it would generate: • More opportunities for discussion • Using a GSS would eliminate the need to divide available airtime among potential speakers because participants could contribute simultaneously • More equal participation • Because the GSS provides many parallel communication channels, loud or strong personalities probably would not dominate the discussion • A permanent record of discussion • GSS would capture a permanent electronic transcript of the online discussion • Improved feedback to presenters • Presenters anticipated more comments as well as more detail in those comments • Improved learning, and • Remote and asynchronous participation • On the other hand, having people type while presenters are presenting could distract participants

  25. HICSSExperiments on Same/Same Presentations/Discussions • Over a two-year experience at this conference, the researchers learned that participants in the GSS-supported sessions contributed hundreds of comments to online discussions, and more were involved than in oral discussion • They said • The typing did not distract them • No online flaming • Many chose to take the online transcripts • That they received positive value from the sessions

  26. Systems to Support CollaborationSupporting Different Place Collaboration • Supporting Dispersed Groups • Development of virtual teams: usually disband after their project is complete • Same time/same place: team meets face-to-face initially to develop the basic plan and objectives • Different time/different place: then they communicate by e-mail and do data gathering and analysis separately • Same time/different place: may have audio or video conferences to discuss developments and progress toward goals

  27. BOEING-ROCKETDYNECase Example: Supporting Different-Place Collaboration • To build an “impossible” engine, experts from three locations formed a virtual team and conducted the project online, completing their mission beyond expectations • The team learned it needed: • A formal agreement for sharing intellectual property openly (and have it signed before the project began) • Technology that fit its virtual meetings • “Rules of engagement” to be creative online (traditional work styles did not work), and • The realization that the focus would change over time as the project evolved

  28. BOEING-ROCKETDYNECase Example: Supporting Different-Place Collaboration cont. • Manufacturer of rocket engines • SLICE project to reduce cost of production of rocket engines to 1/10th, get engine to market 10 times faster, and increase the useful life of the engine 300%! • Virtual team, no face-to-face meetings, had to continue with their regular work • Over 10 months of the project, with 89 on-line meetings, collaborative technology (Internet Notebook), created and critiqued 20 designs and submitted 650+ entries into the notebook

  29. BOEING-ROCKETDYNECase Example: Supporting Different-Place Collaboration cont. • Project success, surpassing its objectives • Considered successful because of: • Prior agreement on need for close cooperation, legalities of intellectual property • Third party software for knowledge management • Meet core creative requirements, adapting traditional work practices as required, and • Focus of effort changed over the project • Immensely successful • Even though initially none of the senior managers thought goals were possible • In large part due to the use of group support technology

  30. Managing Collaboration in Virtual Organizations • With CoPs, network armies and global virtual teams becoming more predominant, how are such nontraditional collaborative structures to be managed? • Job of executives (in managing knowledge workers) is not to tell them what to do (manage them) but rather tell them where the organization is going (lead them)

  31. Managing Collaboration in Virtual OrganizationsMotivating a Virtual Workforce • One conclusion from a study of the open source movement led to the conclusion that executives of increasingly virtual organizations should think about expanding the kinds of motivators they use • The open source movement demonstrates that while money is a well-known motivator, gaining a high reputation among peers, taking pride in contributions, and being able to improve and use high-quality software are strong motivators as well

  32. Managing Collaboration in Virtual OrganizationsGoverning Virtual Organizations • Executives of increasingly virtual organizations should consider adopting a governance structure that fosters self-governance by employees • While the open source movement appears to have all the trappings of chaos waiting to happen, it is actually very well disciplined because of its self-governance • Four important governance principles are: • Managed membership • Rules and institutions • Monitoring, and • Sanctions • Social Pressures?

  33. Conclusion • The structure of organizations is changing rapidly: flatter, less middle-management, greater focus on teams, collaboration across disciplines, times and locations, and the use of virtual teams • Technology is advancing to support these changes, providing the tools to communicate and interact, solve problems, and manage/document knowledge in this new environment

  34. Conclusion cont. • IT-based collaboration tools change the collaboration process by altering who can participate, how they participate, and even the kind of work they do • Collaboration is at the heart of the business world, since “partnering” with others has become the standard style of work • For this reason, this area of IT-based collaboration support is likely to grow and mature quickly in the years ahead

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