Facilitating Group Creativity: Experience with a Group Decision Support System

Nunamaker, Jay F.; Applegate, Lynda M.; Konsynski, Benn R.

doi:10.1080/07421222.1987.11517775

Cited by 349 publications

(90 citation statements)

References 20 publications

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“…Proof-of-value research showed that GSS with a certain feature sets that were used under certain conditions could increase the effects of transformational leadership [65], improve group cohesion [3], creativity [54], and decision quality [46]. GSS benefits could increase with group size [30], with task difficulty [29], and with support from an facilitator [3].…”

Section: [Figure 4 About Here]mentioning

confidence: 99%

The Last Research Mile: Achieving Both Rigor and Relevance in Information Systems Research

Nunamaker

Briggs

Derrick

et al. 2015

Journal of Management Information Systems

Self Cite

122

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From our desk chairs it may be tempting to work up an idea, build a quick prototype, test it in a lab, and say, "Our work here is done; the rest is merely details." More scholarly knowledge awaits discovery, however, by researchers who shepherd an information systems (IS) solution through the last research mile, that is, through successful transition to the workplace. Going the last research mile means using scientific knowledge and methods to address important unsolved classes of problems for real people with real stakes in the outcomes. The last research mile proceeds in three stages: proof-of-concept research to demonstrate the functional feasibility of a solution; proof-of-value research to investigate whether a solution can create value across a variety of conditions; and proof-of-use research to address complex issues of operational feasibility. The last research mile ends only when practitioners routinely use a solution in the field. We argue that going the last research mile negates the assumption that one must trade off rigor and relevance, showing it to be it a false dilemma. Systems researchers who take their solutions through the last research mile may ultimately have the greatest impact on science and society. We demonstrate the last research mile with cases from our own work and the work of others spanning more than forty years. As a professor of information systems at San Diego State University, Robert O. Briggs researches the cognitive foundations of collaboration and uses his findings to design new collaborative work practices and technologies. He is cofounder of the collaboration engineering field and co-inventor of the ThinkLets design pattern language for collaborative work processes. He has made exploratory, theoretical, experimental, and technological contributions to the areas of team productivity, technology-supported learning, ideation, creativity, consensus, satisfaction, willingness to change, and technology transition. He has designed collaboration systems and collaborative workspaces for industry, academia, government, and the military. He co-chairs the Collaboration Systems and Technology track for the Hawaii International Conference on System Sciences. He lectures worldwide on collaboration theory and practice, and on the logic of scientific inquiry. He has published more than two hundred scholarly works collaboration systems and technology, addressing issues team productivity, technology-supported learning, creativity, satisfaction, and technology transition. He earned his doctorate Management Information Systems at the University of Arizona in 1994. Air Force officer. He has extensive experience working with the Department of Defense. As a contractor and academic, he has been awarded contracts and grants totaling $39.85 Million over the last 12 years (principle investigator awards total $16.89 Million). Doug has published 41 peer-reviewed journal articles and conference proceedings. Douglas C Derrick Gerhard SchwabeGerhard Schwabe is a full professor of at the Universit...

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Section: [Figure 4 About Here]mentioning

confidence: 99%

The Last Research Mile: Achieving Both Rigor and Relevance in Information Systems Research

Nunamaker

Briggs

Derrick

et al. 2015

Journal of Management Information Systems

Self Cite

122

View full text Add to dashboard Cite

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“…Whereas a joint decision-making process is often characteristic of a negotiation procedure, its analysis became part of research on group decision support systems (GDSS) (Nunamaker et al, 1987). The creation of DSS, some time latter, was followed by the creation of GDSS, which incorporated multi-criteria decision support models and offered group decision support for negotiations (Weistroffer et al, 2005).…”

Section: Electronic Negotiation Systemsmentioning

confidence: 99%

The Web–based Real Estate Multiple Criteria Negotiation Decision Support System: A New Generation of Decision Support Systems

Urbanavičienė

Kaklauskas

Zavadskas

et al. 2009

International Journal of Strategic Property Management

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The negotiations are an inseparable part of the real estate buying and selling process. Currently real estate are characterized by the intensive creation and use of information, knowledge and automation (software, knowledge and decision support systems, neural networks, etc.) applications. It is commonly agreed that a better integration of information, knowledge and automation applications, as well use of voice stress analysis (one of biometric technologies) might be an efficient mean for decision making in real estate negotiations. Voice stress analysis can help the negotiators to distinguish between truth and lies, improve the value of decisions made, significantly speed up real estate sector processes, help to reach a better real estate sales and purchase agreement terms and decrease the overall cost of real estate search and negotiation processes. The authors’ objective is to improve the quality and efficiency of decision support systems. The article analyses scientific research related to negotiations and presents the developed Web–based Real Estate Multiple Criteria Negotiation Decision Support System with integrated voice stress analysis– a new generation of Decision Support Systems. Santruka Derybos yra neatskiriama nekilnojamojo turto pirkimo ir pardavimo proceso dalis. Dabartiniam nekilnojamojo turto sektoriui būdingas intensyvus informacijos, žiniu ir automatizavimo naudojimas bei kūrimas (programine iranga, žiniu ir sprendimu paramos sistemos, neuroniniai tinklai ir pan.). Sutariama, kad geresnis informacijos, žiniu, automatizavimo, taip pat balso streso analizes (biometrines technologijos) integravimas pagreitina nekilnojamojo turto sektoriaus veikla. Balso streso analize gali padeti derybininkams atskirti, kada sakoma tiesa, o kada meluojama, padidina priimamu sprendimu naudinguma, paspartina nekilnojamojo turto paieškos ir derybu procesus, padeda pasiekti naudingesniu pirkimo ir pardavimo sutarties salygu bei sumažina nekilnojamojo turto paieškos ir derybu proceso kaina. Straipsnio autoriai, siekdami pagerinti sprendimu paramos sistemu kokybe ir efektyvuma, analizuoja mokslininku atliktu derybu srities tyrimu rezultatus ir pristato sukurta nekilnojamojo turto derybu internetine sprendimu paramos sistema su integruota balso streso analizes technologija kaip naujos kartos sprendimu paramos sistema.

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“…This application is intended to allow users to generate and organise ideas, using a technique similar to the brainstorming technique [20] [26]. The requirements of this application are:…”

Section: Examplementioning

confidence: 99%

A system for supporting and managing same-time/different-place group interactions

Antunes

1998

Proceedings of the Working Conference on Advanced Visual Interfaces - AVI '98

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This paper describes a user-interface system developed to support group interactions for same-time/different-place cooperative applications. We address three fundamental aspects of these kind of systems: information sharing, coordination and multiuser-interface. The proposed approach defines four types of objects. Contents store application data. Containers are dedicated to organise and structure application data. Connections manage group coordination. And, finally, Monitors are concerned with users awareness of cooperative activities. One important characteristic of the approach is that it identifies and maps into the above objects two basic properties of group interaction support: visibility (public/private information) and durability (durable/transient information). The system eases the design of complex group interaction processes because it defines simple actions that allow programmers and users to define and combine object properties. An example of system usage is given for an application that supports brainstorming activities. KEYWORDS:Group Interaction, CSCW. INTRODUCTIONThe computer support to group interaction consists of three basic functionalities: information sharing, coordination and multiuser-interface. Information sharing allows to establish a common context between individuals, a functionality that requires the specification of a data consistency model. Data consistency can be preserved through concurrency control mechanisms [5][12], e.g. locking, versioning, history, views, etc. Group interaction adds the notion of interdependence [23][13] and coordination [24][22] to information sharing. Interdependence means that, in cooperative settings, activities flow from one individual to another, while coordination introduces the requirement of managing the dependencies between activities. Several coordination mechanisms have been proposed [31], e.g. free mechanisms, that rely on the social protocols established by users and do not control the access to the medium, floorcontrol, semi-formal, based on language and formal mechanisms. The multiuser-interface is responsible for mediating users and the system. The multiuser-interface must define a public space, shared by all users, and maintain visual consistency of objects which are placed in the public space.

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Facilitating Group Creativity: Experience with a Group Decision Support System

Cited by 349 publications

References 20 publications

The Last Research Mile: Achieving Both Rigor and Relevance in Information Systems Research

The Last Research Mile: Achieving Both Rigor and Relevance in Information Systems Research

The Web–based Real Estate Multiple Criteria Negotiation Decision Support System: A New Generation of Decision Support Systems

A system for supporting and managing same-time/different-place group interactions

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