The effects of cognitive style and media richness on commitment to telework and virtual teams

Workman, Michael; Kahnweiler, William M.; Bommer, William H.

doi:10.1016/s0001-8791(03)00041-1

Cited by 118 publications

(98 citation statements)

References 49 publications

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“…Because similarity between a person's cognitive style and a person's task environment is an important condition for building commitment [25][26], liberals should be more committed to the less structured environment of remote work than conservatives [27]. Thus, people with liberal cognitive styles will have greater commitment to conceptualising and modelling than conservative people.…”

Section: A Cognitive Preferencesmentioning

confidence: 99%

Design Thinking and Cognitive Science: An Exploratory Approach to Create Intellectual Capital with Decentralised Organisations

Chujfi

Meinel

2017

Annals of Computer Science and Information Systems

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Abstract-The significance of managing intellectual capital within organisations so as to be competitive in the digital age, combined with the distributed or discontinuous essence of geographically decentralised organisational forms, places enormous challenges on today's business leaders who want to retain control of the knowledge created dispersedly. This analysis explores a cyber-humanistic approach to improve the effectiveness of interaction in distributed settings, based on individual cognitive preferences, addressing the management of intangible tacit knowledge to develop intellectual capital. We aligned elements of the Japanese Style of global organisational knowledge creation and Design Thinking to develop a context to identify cognitive values of a descentralized organisation style. It provides individuals and teams with the grounds to effectively function in order to produce quality work that can be assessed as capital. The improved interaction scheme aims to create intellectual capital, aligning staff personalities that are cognitively sympathetic improving information gathering and creating business value.

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Section: A Cognitive Preferencesmentioning

confidence: 99%

Design Thinking and Cognitive Science: An Exploratory Approach to Create Intellectual Capital with Decentralised Organisations

Chujfi

Meinel

2017

Annals of Computer Science and Information Systems

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“…Three dimensions of this taxonomy were identified as relevant to the nature of remote work and virtual teams: scope, leaning and level [26]. Table 2 presents the categories of each dimension and how this study approaches their relevant aspects.…”

Section: Cognitive Stylesmentioning

confidence: 99%

“…Levels: Because local cognitive styles prefer concrete detail in their work, whereas global cognitive styles prefer abstract thinking, and remote work elevates ambiguity, people with global cognitive styles will have greater commitment to working remotely than people with local cognitive styles [26]. In addition to that, because the nature of virtual collaboration involves heightened ambiguity from a traditional office setting, these differences are surmised to disproportionately increase the cognitive costs of information exchange for locals during virtual collaboration [27,28].…”

Section: Cognitive Stylesmentioning

confidence: 99%

“…In addition to that, because the nature of virtual collaboration involves heightened ambiguity from a traditional office setting, these differences are surmised to disproportionately increase the cognitive costs of information exchange for locals during virtual collaboration [27,28]. Thus, people with global cognitive styles will have greater commitment to the virtual team than people with local cognitive styles [26].…”

Section: Cognitive Stylesmentioning

confidence: 99%

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Patterns to explore cognitive preferences and potential collective intelligence empathy for processing knowledge in virtual settings

Chujfi

Meinel

2015

J Interact Sci

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Organizations continue building virtual working teams (Teleworkers) to become more dynamic as part of their strategic innovation, with great benefits to individuals, business and society. However, during such transformations it is important to note that effective knowledge communication is particularly difficult in distributed environments as well as in non-interactive settings, because the interlocutors cannot use gestures or mimicry and have to adapt their expressions without receiving any feedback, which may affect the creation of tacit knowledge. Collective Intelligence appears to be an encouraging alternative for creating knowledge. However, in this scenario it faces an important goal to be achieved, as the degree of ability of two or more individuals increases with the need to overcome barriers through the aggregation of separately processed information, whereby all actors follow similar conditions to participate in the collective. Geographically distributed organizations have the great challenge of managing people's knowledge, not only to keep operations running, but also to promote innovation within the organization in the creation of new knowledge. The management of knowledge from Collective Intelligence represents a big difference from traditional methods of information allocation, since managing Collective Intelligence poses new requirements. For instance, semantic analysis has to merge information, coming both from the content itself and the social/individual context, and in addition, the social dynamics that emerge online have to be taken into account. This study analyses how knowledge-based organizations working with decentralized staff may need to consider the cognitive styles and social behaviors of individuals participating in their programs to effectively manage knowledge in virtual settings. It also proposes assessment taxonomies to analyze online comportments at the levels of the individual and community, in order to successfully identify characteristics to help evaluate higher effectiveness of communication. We aim at modeling measurement patterns to identify effective ways of interaction of individuals, taking into consideration their cognitive and social behaviors.

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“…The main issue arising when an MCA method is conducted is the extent to which the user understands and feels at ease about the questions an MCA method typically uses to elicit the preferences. In some extreme cases, a decision method uses an approach which does not match the decision-maker's cognitive approach to decision-making Lu et al, 2001;Workman et al, 2003. Consequently he may feel manipulated by the method and so have only low confidence in the results obtained.…”

Section: Analysis Of Optionsmentioning

confidence: 99%

Network Analysis, Creative System Modelling and Decision Support: The NetSyMoD Approach

et al. 2006

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in SummaryThis paper presents the NetSyMoD approach -where NetSyMod stands for Network Analysis -Creative System Modelling -Decision Support. It represents the outcome of several years of research at FEEM in the field of natural resources management, environmental evaluation and decision-making, within the Natural Resources Management Research Programme. NetSyMoD is a flexible and comprehensive methodological framework, which uses a suite of support tools, aimed at facilitating the involvement of stakeholders or experts in decision-making processes. The main phases envisaged for the process are: (i) the identification of relevant actors, (ii) the analysis of social networks, (iii) the creative system modelling and modelling of the reality being considered (i.e. the local socio-economic and environmental system), and (iv) the analysis of alternative options available for the management of the specific case (e.g. alternative projects, plans, strategies). The strategies for participation are necessarily context-dependent, and thus not all the NetSyMod phases may be needed in every application. Furthermore, the practical solutions for their implementation may significantly differ from one case to another, depending not only on the context, but also on the available resources (human and financial). The various applications of NetSyMoD have nonetheless in common the same approach for problem analysis and communication within a group of actors, based upon the use of creative thinking techniques, the formalisation of human-environment relationships through the DPSIR framework, and the use of multi-criteria analysis through the mDSS software.

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The effects of cognitive style and media richness on commitment to telework and virtual teams

Cited by 118 publications

References 49 publications

Design Thinking and Cognitive Science: An Exploratory Approach to Create Intellectual Capital with Decentralised Organisations

Design Thinking and Cognitive Science: An Exploratory Approach to Create Intellectual Capital with Decentralised Organisations

Patterns to explore cognitive preferences and potential collective intelligence empathy for processing knowledge in virtual settings

Network Analysis, Creative System Modelling and Decision Support: The NetSyMoD Approach

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