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31
Research Commentary: The Next Wave of Nomadic Computing
- Information Systems Research
, 2002
"... Anomadic information environment is a heterogeneous assemblage of interconnected technological, and social, and organizational elements that enable the physical and social mobility of computing and communication services between organizational actors both within and across organizational borders. We ..."
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Cited by 44 (2 self)
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Anomadic information environment is a heterogeneous assemblage of interconnected technological, and social, and organizational elements that enable the physical and social mobility of computing and communication services between organizational actors both within and across organizational borders. We analyze such environments based on their prevalent features of mobility, digital convergence, and mass scale, along with their mutual interdependencies. By using a framework that organizes research topics in nomadic information environments at the individual, team, organizational, and interorganizational levels and is comprised of both service and infrastructure development, we assess the opportunities and challenges for IS research. These deal with the design, use, adoption, and impacts of nomadic information environments. We conclude by discussing research challenges posed by nomadic information environments for information systems research skills and methods. These deal with the need to invent novel research methods and shift our research focus, the necessity to question the divide between the technical and the social, and the need to better integrate developmental and behavioral (empirical) research modes.
The Network Paradigm in Organizational Research: A Review and Typology
- Journal of Management
, 2003
"... In this paper, we review and analyze the emerging network paradigm in organizational research. We begin with a conventional review of recent research organized around recognized research streams. Next, we analyze this research, developing a set of dimensions along which network studies vary, includi ..."
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Cited by 40 (3 self)
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In this paper, we review and analyze the emerging network paradigm in organizational research. We begin with a conventional review of recent research organized around recognized research streams. Next, we analyze this research, developing a set of dimensions along which network studies vary, including direction of causality, levels of analysis, explanatory goals, and explanatory mechanisms. We use the latter two dimensions to construct a 2-by-2 table cross-classifying studies of network consequences into four canonical types: structural social capital, social access to resources, contagion, and environmental shaping. We note the rise in popularity of studies with a greater sense of agency than was traditional in network research.
What Do We Know about Proximity and Distance in Work Groups? A Legacy of Research
, 2002
"... similarities may be useful for some purposes (see Frost & King, 2001 [chapter 1]), but abstractions may present problems in actually accomplishing collaborative work. Second, the natural tendency to establish local territories may interfere with co-workers' identification with the larger collective, ..."
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Cited by 35 (4 self)
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similarities may be useful for some purposes (see Frost & King, 2001 [chapter 1]), but abstractions may present problems in actually accomplishing collaborative work. Second, the natural tendency to establish local territories may interfere with co-workers' identification with the larger collective, such as the distributed project group. Ambiguity of membership reduces group identity (Brown & Wade, 1987; see also Armstrong and Cole, 2001 [chapter 7]). Effects of Spontaneous Communication Distances between offices and work locations possibly have their highest impact on group functioning through their effect on informal, spontaneous communication opportunities (Brockner & Swap, 1976; Ebbesen, Kjos, & Konecni, 1976, Hays, 1985; Kraut & Streeter, 1995; Newcomb, 1981). That is, people who work in proximate offices run into one another at the water cooler, coffee machine, and copier. They see one another come and go to meetings. They meet in the lunch room. These casual encounters increase ...
A Relational View of Information Seeking and Learning in Social Networks
, 2003
"... Research in organizational learning has demonstrated processes and occasionally performance implications of acquisition of declarative (know-what) and procedural (know-how) knowledge. However, considerably less attention has been paid to learned characteristics of relationships that affect the decis ..."
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Cited by 27 (1 self)
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Research in organizational learning has demonstrated processes and occasionally performance implications of acquisition of declarative (know-what) and procedural (know-how) knowledge. However, considerably less attention has been paid to learned characteristics of relationships that affect the decision to seek information from other people. Based on a review of the social network, information processing, and organizational learning literatures, along with the results of a previous qualitative study, we propose a formal model of information seeking in which the probability of seeking information from another person is a function of (1) knowing what that person knows; (2) valuing what that person knows; (3) being able to gain timely access to that person’s thinking; and (4) perceiving that seeking information from that person would not be too costly. We also hypothesize that the knowing, access, and cost variables mediate the relationship between physical proximity and information seeking. The model is tested using two separate research sites to provide replication. The results indicate strong support for the model and the mediation hypothesis (with the exception of the cost variable). Implications are drawn for the study of both transactive memory and organizational learning, as well as for management practice.
Transferring R&D knowledge: the key factors affecting knowledge transfer success
, 2003
"... Based on a study of knowledge transfer within more than 15 industries, across three forms of governance, and between both domestic and international R&D partners, knowledge transfer success was found to be associated with several key variables, and to hinge upon (a) both R&D units’ understanding whe ..."
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Cited by 22 (0 self)
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Based on a study of knowledge transfer within more than 15 industries, across three forms of governance, and between both domestic and international R&D partners, knowledge transfer success was found to be associated with several key variables, and to hinge upon (a) both R&D units’ understanding where the desired knowledge resides within the source, (b) the extent to which the parties share similar knowledge bases, and the extent of interactions between the source and the recipient to (c) transfer the knowledge and (d) participate in an articulation process through which the source’s knowledge is made accessible to the recipient.
Coordination in Teams: Evidence from a Simulated Management Game
, 2004
"... this paper, we examine the strategies managerial teams use to achieve coordination and the effects of coordination on team performance. We hypothesized that four coordination strategies---frequent communication, evenly distributed communication, shared cognitions about members' expertise, and team h ..."
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Cited by 19 (0 self)
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this paper, we examine the strategies managerial teams use to achieve coordination and the effects of coordination on team performance. We hypothesized that four coordination strategies---frequent communication, evenly distributed communication, shared cognitions about members' expertise, and team history---would lead to greater team coordination. We also hypothesized that there would be tradeoffs between several of these strategies. Greater coordination was expected to lead to better performance outcomes, regardless of the strategies a team used to achieve it. We examined our hypotheses within the context of a 14-week realistic management simulation. Coordination was influenced by evenness of communication, shared cognitions about the distribution of expertise within the team, and time working together. Coordination was also influenced by interactions between shared cognitions and frequency of communication, and between shared cognitions and team history. Contrary to our predictions, however, there was neither a main effect of communication frequency on coordination, nor an interaction of communication frequency with history working together. The level of coordination within a team was directly related to three of four outcome measures. Coordination in Teams: Evidence from Simulated Management Teams Groups are inherently different from individuals performing the same task because of a need to coordinate. Whenever the work of individuals is interdependent, they must coordinate to achieve success (Van de Ven, 1976). Malone and Crowston (1994) defined coordination as the extra work organizations and individuals must complete when individuals are working in concert to accomplish some goal, over and above what they would need to do to accomplish the goal individually. To w...
Information Technology and Knowledge Distribution in C³I Teams
, 2002
"... This paper lays out a computational model for analyzing the relative efficacy of different C I architectures for teams with access to different types of databases (ITT). Then using this model, a virtual experiment is conducted. Aspects of this virtual experiment are patterned off of behavior and ..."
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Cited by 16 (9 self)
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This paper lays out a computational model for analyzing the relative efficacy of different C I architectures for teams with access to different types of databases (ITT). Then using this model, a virtual experiment is conducted. Aspects of this virtual experiment are patterned off of behavior and technology surrounding the knowledge wall. Results suggest that bringing ITT in to traditionally structured teams may reduce their efficiency. Some guidance is provided for how to design C I architectures for high performance and adaptive teams who are ITT enabled. Implications of these results for the knowledge wall are provided. This study, although preliminary, provides guidance for how to reason about team design in a network centric context.
Avoiding missed opportunities in managerial life: Analogical training more powerful than individual case training
- ORGANIZATIONAL BEHAVIOR AND HUMAN DECISION PROCESSES
, 2000
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The Next Wave of Nomadic Computing: A Research Agenda for Information Systems Research
- Sprouts: Working Papers on Information Environments, Systems and Organizations
, 2001
"... A nomadic information environment is a heterogeneous assemblage of interconnected technological and organizational elements, which enables physical and social mobility of computing and communication services between organizational actors both within and across organizational borders. We analyze such ..."
Abstract
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Cited by 13 (0 self)
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A nomadic information environment is a heterogeneous assemblage of interconnected technological and organizational elements, which enables physical and social mobility of computing and communication services between organizational actors both within and across organizational borders. We analyze such environments based on their prevalent features of mobility, digital convergence, and mass scale. We describe essential features of each in more detail and characterize their mutual interdependencies. We build a framework, which identifies research issues in nomadic information environments at the individual, the team, the organizational, and inter-organizational levels, comprising both service and infrastructure development. We assess the opportunities and challenges for research into each area at the level of design, use and adoption, and impacts. We conclude by discussing challenges posed by nomadic information environments for information systems field to our research skills and methods. These deal with the need to invent novel research methods and shift research focus, the necessity to question the divide between the technical and the social, and the need to better integrate developmental and behavioral (empirical) research modes.

