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Enregistrement W2094699900 · doi:10.1002/meet.2008.14504503104

Mapping collaborative information processes to stages of group development

2008· article· en· W2094699900 sur OpenAlexafffundabout
Sandra Toze, Elaine G. Toms

Notice bibliographique

RevueProceedings of the American Society for Information Science and Technology · 2008
Typearticle
Langueen
DomainePsychology
ThématiqueTeam Dynamics and Performance
Établissements canadiensDalhousie University
Organismes subventionnairesCanada Research Chairs
Mots-clésInterdependenceInformation systemKey (lock)Group (periodic table)Knowledge managementWork (physics)Group workEngineeringComputer scienceSociologySocial scienceComputer security

Résumé

récupéré en direct d'OpenAlex

Work in organizations is predominately carried out by small groups of individuals in technologically enhanced environments whose key fuel for their activities is information. Information is an input, it is shared (or not), and is integrated and massaged into a key output for use at group, individual and organizational levels (Hertzum, 2007; Hinsz, Tindale, & Vollrath, 1997; Nunamaker, Romano, & Briggs, 2001). While much of our understanding of information emanates from individuals or individuals within a community, we still have little understanding of how information is sought, retrieved, shared, integrated and melded over the course of time as a group works toward its goals (Fidel et al, 2004; Hinsz, Tindale & Vollrath, 1997; Hyldegård, 2006; Foster, 2006; Talja & Hansen, 2006). While the term group is used generically to reference two or more people or objects, this research examines work groups which are “…assumed to be complex, intact social systems that engage in multiple, interdependent functions, on multiple concurrent projects, while partially nested within, and loosely coupled to, surrounding systems” (McGrath, 1991). Work groups emerge or are created to work on complex tasks or projects that take place over a period of time. They are comprised of 2 to 12 individuals, the most productive size (Kraut, 2003; Devine, Clayton, Philips, Dunford and Melner, 1999), and generally embedded in larger organizational contexts. This research is the initial stage of a research project focuses on how groups use information with a view to building a model of group information behavior, and identifying the types of tools needed to support information use within groups. The research challenge is in understanding how information flows throughout the groupwork process; how information is shared and integrated at various stages of groupwork, and how information changes over the course of work (Fidel et al, 2004; Hinsz, Tindale & Vollrath; 1997, Hyldegård, 2006; Fidel et al, 2004; Poltrock et al, 2003). In the work reported here we follow one group over multiple sessions as they respond to a large problem to understand how information is processed by the group. To ensure a “naturalistic” study the task was “real” not imposed and the researchers did not interfere or provide instructions regarding the task. This group involved 4 students, who met 6 times over the months of September and October, 2007, each meeting lasting between 2 and 3 hours. The participants were graduate management students, and had not worked together, or known each other previously. Their class project involved five key tasks; a literature review (Task A), identifying key readings for the class (Task B), preparing an hour presentation for the class (Task C), identifying and scheduling relevant guest speakers (Task D), and designing and leading a class exercise in the field (Task E). All group meetings were held in a groupwork lab that recorded all group actions using 4 cameras, and multiple microphones. The group used laptops with Morae installed, and additionally their meetings were observed through a one way class, in an adjacent control room. Between group meetings electronic diaries were used to probe for information activities. The researcher was included in all group email correspondence. Finally a semi-structured interview allowed for group reflection. To illustrate information flow, the analysis of a “typical meeting” revealed 6 key stages. During stage 1, “Diaries and Greetings”, each group member completed an electronic diary that allowed them to reflect on their work on the project between meetings, which was the only “research” imposed part of the meeting. They discussed informally their activities, and the amount of work they had done individually. The task was not discussed; the group instead chatted more generally such as a discussion of the universities new password policy. This phase ended with the observation they were “off topic”. The group moved into Stage 2 “Updates and Discussion” when the conversation turned to “updates”. At this stage members took turns reporting on individual progress on Tasks D & E, followed by group discussion and analysis. No decisions were made. Information needs surfaced, with specific reference to potential sources such as Google and subject experts. The stage ended with the awareness of passing time, and the need for task progress: one member spoke of their efforts being “scattered” and the need to “nail things down”. During the decision making phase (Stage 3), there was clear conflict, debate and frustration, particularly regarding their field trip choice (Task E). To chose between several options the group actively sought additional information: they phoned one expert, and used the internet to find background and location information. This phase “ended” with some members leaving to discuss their concerns and choices with the professor (Task E), while one stayed to work on an outline for their presentation (Task C). Stage 4, “SubMeeting and Work”, involved splitting of the group. One member remained behind to work on publisher, using the chart the group had made in previous meetings. The other 3 group members met with the professor to confirm plans, receive feedback and relieve their increasing anxiety and frustration. When the group members returned, the discussion quickly moved forward. Conflict of Stages 3 and 4 were resolved with a decision regarding Task E. Stage 5, “Outline Redesign” involved integrating individual work done between meetings on Task C. This involved discussion, negotiation, aggregation, and integration. Flip charts were used, as well as various websites. Members also referred to the following information artifacts: a “key” textbook, their individual notes, government websites, and legislation. There was also some discussion and decisions regarding Task B, the readings they will assign to the class. This stage involved the transfer of information from the individual to the group level. As the meeting ended (Stage 6 Adjourning) the group made goals/plans for the next meeting(s), and confirmed what they had done/decided. Additionally specific information was promised for the next day or so. The group members congratulated themselves, and commented on their progress. While this represents only one typical session for a larger group project, use of a stage based framework highlights the following. Information needs surface at Stage 2, but are not activated until Stage 3, where there are several forms of directed information seeking and retrieval. Articulation of information needs, and direct seeking and retrieval using a range of tools and artifacts increases through Stage 5, as the group moves from discussion to decision and work. In Stage 6 the group reverts to identifying information needs, and referring them to specific individuals. The shifts observed in group affect reflect the work of Kuhlthau (1991) on the individual level, and Hyldegård (2006) at the group level. This work extends the emerging research on the collaborative information behaviours of groups (Blake & Pratt, 2006; Dennis, 1996; Fidel et al., 2004; Poltrock et al. 2003; Prekop, 2002; Reddy & Jansen, 2007). Of interest as well is the relationship between time and information seeking; the awareness of the passing of time was seen as a trigger to activate information seeking. The observed behaviours and affects will be confirmed through the analysis of other groups, using the same methods. The refined framework can be used to guide the development and selection of specific tools to aid groupwork at specific stages. The poster will represent this framework and integrate data from other group studies. Research was supported by Canada Research Chairs Program and NECTAR.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,339
Score d'incertitude au seuil0,519

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,005
Études des sciences et des technologies0,0000,001
Communication savante0,0000,002
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,013
Tête enseignante GPT0,274
Écart entre enseignants0,261 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2008
Routes d'admission3
Résumé présentoui

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