The effects of collecting and connecting activities on knowledge creation in organizations

Kaschig, Andreas; Maier, Ronald; Sandow, Alexander

doi:10.1016/j.jsis.2016.08.002

Cited by 28 publications

(13 citation statements)

References 108 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Conceptually, the associations build on the input (support) -process (activities) -output (knowledge creation) model (Hackman & Morris, 1975;McGrath, 1964) and the enabler (support) -knowledge process (activities) -intermediate output (knowledge creation) model (H. Lee & Choi, 2003). Our findings corroborate that tool support for knowledge activities that connect individual contributions, both from within the group and from a wider network, supports collective knowledge creation in SME networks (Kaschig et al, 2016).…”

Section: Identifying Changes In Practicesupporting

confidence: 83%

“…The highest value appears to be placed on the early stages of knowledge creation (making individual knowledge explicit and integrating this into group knowledge) rather than on the institutionalisation of such knowledge. Thus, our associations between tool functionality, changed practices and knowledge creation resonate with empirical results confirming the positive effects of technology support for knowledge activities on individual and collective knowledge creation (Kaschig, Maier, & Sandow, 2016). Conceptually, the associations build on the input (support) -process (activities) -output (knowledge creation) model (Hackman & Morris, 1975;McGrath, 1964) and the enabler (support) -knowledge process (activities) -intermediate output (knowledge creation) model (H. Lee & Choi, 2003).…”

Section: Identifying Changes In Practicesupporting

confidence: 78%

See 1 more Smart Citation

Scaffolded contributions, active meetings and scaled engagement: How technology shapes informal learning practices in healthcare SME networks

Treasure-Jones

Sarigianni

Maier

et al. 2019

Computers in Human Behavior

Self Cite

View full text Add to dashboard Cite

show abstract

Section: Identifying Changes In Practicesupporting

confidence: 83%

Section: Identifying Changes In Practicesupporting

confidence: 78%

Scaffolded contributions, active meetings and scaled engagement: How technology shapes informal learning practices in healthcare SME networks

Treasure-Jones

Sarigianni

Maier

et al. 2019

Computers in Human Behavior

Self Cite

View full text Add to dashboard Cite

show abstract

“…Desde la concepción del modelo de Nonaka y Takeuchi (1995), la vida ha cambiado mucho y a raíz del boom de creación de software y de información se ha encontrado que las comunidades de creadores y usuarios de software han desarrollado prácticas que incentivan la creación del conocimiento (Kaschig et al, 2016;López-Portillo Romano 2018;Von Hippel, 2005). 2020;Isaacson, 2014;Papa et al, 2020;Von Hippel, 2005).…”

Section: Gestión Del Conocimiento Y Transferenciaunclassified

La transferencia del conocimiento y las capacidades de medición y calibración en laboratorios nacionales de metrología

Castro-Galván

Cázares-Garrido

2022

Rev. CEA

View full text Add to dashboard Cite

El proceso de declaración de las capacidades de medición y calibración implica que de forma continua los laboratorios nacionales de metrología se actualicen en temas nuevos, participen en comparaciones internacionales para demostrar sus capacidades técnicas e implementen nuevos servicios de medición derivados de las comparaciones. La capacidad de absorción de una organización, en el contexto de las capacidades dinámicas, es la habilidad para identificar el valor de un nuevo conocimiento exterior, asimilarlo y convertirlo en un producto comercial. Esta capacidad de absorción es un mecanismo interno de una organización para poder evaluar cuánto del conocimiento externo es capaz de asimilar dados sus conocimientos internos. El objetivo de este estudio se centra en evaluar la posible conexión de las capacidades de medición y calibración con el desarrollo de nuevos servicios de calibración para proponerlos como indicadores de la transferencia del conocimiento y de la capacidad de absorción de los laboratorios nacionales de metrología. Se estudiaron tres laboratorios nacionales de México, Brasil y Argentina, para un análisis descriptivo del número total de CMC en el periodo de 2001 a 2020, utilizando la base de datos de la oficina internacional de pesas y medidas. Debido al escaso número de datos públicos, solo para México se relacionaron las capacidades declaradas con sus servicios de medición, así como la posible relación de crecimiento de nuevos clientes. Se encontró que el proceso de declaración de capacidades de medición y calibración es continuo y se relaciona directamente con la creación de nuevos servicios de medición y de nuevos clientes, por lo que se propone como un indicador de transferencia del conocimiento de la organización. Sin embargo, es necesario buscar más información empírica en un análisis posterior a profundidad debido a que actualmente no se han encontrado investigaciones que estudien este proceso sistemáticamente.

show abstract

“…Knowledge and information have become key factors for success in the twenty-first century (Dominici et al, 2016;Peppard and Ward, 2016). Network economics considers integration as a strategic instrument that affects the production of knowledge and the increasingly important role of information with the implementation of the collective knowledge that is created, accumulated and refined in collective learning (Maier, 2007;Kaschig et al, 2016;Héraud, 2016). As such, collective knowledge is essential to the modern knowledge society and is constituted from the culture (Mantzavinos, 2001), institutions (Biddle, 1990) and technology (Boisot, 1998).…”

Section: Collective Intelligencementioning

confidence: 99%

Smart technologies as social innovation and complex social issues of the Z generation

et al. 2019

View full text Add to dashboard Cite

Purpose This paper aims to present how contemporary students are self-organizing using smart technologies (ST) and the future social implications of ST. The research model is based on the concepts of the soft system methodology, social systems thinking, innovative smart systems, and cybernetic and knowledge management. Design/methodology/approach The study contains elements of exploratory and descriptive case studies. Narrative analysis and interpretation of the collected data have been carried out. Findings Students mostly use ST to save time when studying and in their free time. Students are surprised by how ST developed and are cautious when imagining how the technology will change and affect their lives. They are concerned regarding several ethical dilemmas of using it, such as privacy and spending time with their loved ones and friends. Students perceive their self-organization in the future as very dependent on the availability of ST in institutional settings (e.g. education and business process) as well as their personal lives. Students discuss their present perceptions about what the future will be and note that social system will be more dynamic in terms of socialization, and loss of personal contact with their friends and family is seen as the main threat. Research limitations/implications The research is qualitative, and the questionnaire was carried out among business students at the Faculty of Economics, University of Ljubljana, Slovenia. Practical implications The paper offers an understanding of the usage of ST among business students. This study provides a road map of a few possible ways for usage of ST among students. The topic is also relevant for human resource managers, technology developers and marketing strategists for their better understanding of the behaviour of young people using ST in professional or private environments. Social implications The findings can be useful for professors in identifying different learning methods that are useful for their students. Originality/value The authors offer conceptualizations of ST within the social innovation framework and provide a contemporary understanding young people’s ST usage.

show abstract

The effects of collecting and connecting activities on knowledge creation in organizations

Cited by 28 publications

References 108 publications

Scaffolded contributions, active meetings and scaled engagement: How technology shapes informal learning practices in healthcare SME networks

Scaffolded contributions, active meetings and scaled engagement: How technology shapes informal learning practices in healthcare SME networks

La transferencia del conocimiento y las capacidades de medición y calibración en laboratorios nacionales de metrología

Smart technologies as social innovation and complex social issues of the Z generation

Contact Info

Product

Resources

About