Refining the classification of knowledge transfer mechanisms for project-to-project knowledge sharing

Background: The complex, unique and temporary nature of projects makes project-to-project knowledge transfer challenging and has attracted attention from both practitioners and academic scholars. This challenging nature of project-to-project knowledge transfer led to the proliferation of a host of tools and instruments (so-called knowledge transfer mechanisms) in which little structure can be discovered making selection by (project) managers a difficult task.Aim: This article aims to deal with this unstructured proliferation of knowledge transfer mechanisms by empirically categorising these transfer mechanisms, thereby reducing the number of mechanisms to groups that share a common characteristic.Setting: The study takes stock of the wide range of knowledge transfer mechanisms available and analyses them in terms of specific characteristics (e.g. explicitness or reach).Methods: A multi-method approach is used in which a multi-level latent class analysis is applied on data collected via an expert panel.Results: Five categories of transfer mechanisms could be empirically established where these mechanisms showed common characteristics.Conclusion: The taxonomy developed will allow organisations and project managers to more efficiently select appropriate transfer mechanisms for use in project-to-project knowledge transfer.

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Research of Knowledge Transfer Mechanisms and Environmental Uncertaint towards Renewable Energy in Thailand

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.522-524.1850 ◽

2014 ◽

Vol 522-524 ◽

pp. 1850-1852

Author(s):

Chun Wang Tsou ◽

Pakarapong Supakarapongkul ◽

Saksit Pornjirattikal ◽

Yin Tsuo Huang

Keyword(s):

Knowledge Transfer ◽

Competitive Advantage ◽

Environmental Uncertainty ◽

Project Managers ◽

Dynamic Capability ◽

Future Research ◽

Knowledge Transfers ◽

Energy Companies ◽

The Relationship ◽

Transfer Mechanisms

This explanatory research explores the relationship among environmental uncertainty, knowledge transfers mechanisms, dynamic capability, and competitive advantage. A total of 235 project managers employed by energy companies in Thailand were invited to participate in the study. The findings indicated that (a) through knowledge transfer mechanisms, project teams could develop an energy enterprises core competence and build its competitive advantage, (b) the relationship between environmental uncertainty and knowledge transfer mechanisms is negative, and (c) dynamic capability and competitive advantage have a positive relationship. The limitations of the study regarding generalization, and recommendations for future research to replicate the study in other countries, are also included.

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Knowledge types and knowledge transfer mechanisms for effective resilience knowledge-sharing between cities – A case study of New Zealand

International Journal of Disaster Risk Reduction ◽

10.1016/j.ijdrr.2022.102790 ◽

2022 ◽

pp. 102790

Author(s):

Elrasheid Elkhidir ◽

Sandeeka Mannakkara ◽

Theunis F.P. Henning ◽

Suzanne Wilkinson

Keyword(s):

New Zealand ◽

Knowledge Transfer ◽

Knowledge Sharing ◽

Knowledge Types ◽

Transfer Mechanisms

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The Quest for Sustainable Teaching Praxis: Opportunities and Challenges of Multidisciplinary and Multicultural Teamwork

Sustainability ◽

10.3390/su13137210 ◽

2021 ◽

Vol 13 (13) ◽

pp. 7210

Author(s):

Elli Doukanari ◽

Despo Ktoridou ◽

Leonidas Efthymiou ◽

Epaminondas Epaminonda

Keyword(s):

Focus Groups ◽

Knowledge Sharing ◽

Direct Observation ◽

Mixed Method ◽

Teaching Practice ◽

Social Significance ◽

Wide Range ◽

Case Based Learning ◽

Method Approach ◽

Case Based

This article investigates the prospect of implementing multidisciplinary and multicultural student teamwork (MMT), along with Case-based Learning (CBL) and Problem-based Learning (PBL), as a sustainable teaching practice. Based on a mixed-method approach, which includes direct observation (both physical and virtual), questionnaire distribution, and focus groups, the study reveals that MMT through CBL and PBL can both facilitate and hinder sustainable learning. Our findings show that while MMT enhances knowledge sharing, it also poses a wide range of challenges, raising questions about its social significance as a sustainable teaching practice. The study suggests the implementation of certain mechanisms, such as ‘Teamwork Training’ and ‘Pedagogical Mentors’, aiming to strengthen the sustainable orientation of MMT through CBL and PBL.

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Knowledge Sharing among Accounting Academics in an Electronic Network of Practice

Accounting Horizons ◽

10.2308/acch.2009.23.2.151 ◽

2009 ◽

Vol 23 (2) ◽

pp. 151-179 ◽

Cited By ~ 19

Author(s):

Eileen Z. Taylor ◽

Uday S. Murthy

Keyword(s):

Knowledge Sharing ◽

Statistical Power ◽

Academic Community ◽

Accounting Education ◽

Financial Accounting ◽

Electronic Network ◽

Accounting Practice ◽

Self Perceptions ◽

Multi Method Approach ◽

Method Approach

SYNOPSIS: Using a multi-method approach, we explore accounting academics’ knowledge-sharing practices in an Electronic Network of Practice (ENOP)—the Accounting Education using Computers and Multimedia (AECM) email list. Established in 1996, the AECM email list serves the global accounting academic community. A review of postings to AECM for the period January–June 2006 indicates that members use this network to post questions, replies, and opinions covering a variety of topics, but focusing on financial accounting practice and education. Sixty-nine AECM members constituting 9.2 percent of the AECM membership base responded to a survey that measured their self-perceptions about altruism, reciprocation, reputation, commitment, and participation in AECM. The results suggest that altruism is a significant predictor of posting frequency, but neither reputation nor commitment significantly relate to posting frequency. These findings imply that designers and administrators of the recently launched AAA Commons platform should seek ways of capitalizing on the altruistic tendencies of accounting academics. The study’s limitations include low statistical power and potential inconsistencies in coding the large number of postings.

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Iterating a framework for the prevention of caregiver depression in dementia: a multi-method approach

International Psychogeriatrics ◽

10.1017/s1041610217002629 ◽

2017 ◽

Vol 30 (8) ◽

pp. 1119-1130 ◽

Cited By ~ 5

Author(s):

Jiangbo Ying ◽

Philip Yap ◽

Mihir Gandhi ◽

Tau Ming Liew

Keyword(s):

Family Caregivers ◽

Behavioral Problems ◽

Recent Literature ◽

Depression Scale ◽

Epidemiological Studies ◽

Extensive Literature ◽

Caregiver Depression ◽

Wide Range ◽

Multi Method Approach ◽

Method Approach

ABSTRACTBackground:Dementia caregiving is often stressful and depression in family caregivers is not uncommon. As caregiver depression can have significant effects, there is a need for preventive efforts which are consistent with the extensive literature. We sought to consolidate the wide range of evidence (using a multi-method approach) into a simple framework that can guide the prevention of caregiver depression.Methods:Using multiple logistic regression, we derived the predictors of caregiver depression from an empirical dataset containing key information and depression scores (based on the Center-for-Epidemiological-Studies-Depression-Scale) of 394 family caregivers. We then chose an underpinning theory as the foundation of the framework, and conducted an umbrella systematic review to find possible links between the derived predictors and the theory. Last, we compared the iterated framework with known interventions for caregiver depression in recent literature to assess whether the framework could map meaningfully with the known interventions.Results:Significant predictors of caregiver depression included primary caregiver (odds ratio, OR = 1.53), severe dementia (OR = 1.40), and behavioral problems (OR = 3.23), lower education (OR = 1.77), and spousal caregivers (OR = 1.98). The integrated framework derived focuses on four strategic areas: physical-care demands of persons with dementia (PWD), behavioral problems of PWD, caregiving competency, and loss and grief of caregivers. This framework is supported by known interventions for caregiver depression in recent literature.Conclusions:By consolidating a broad range of evidence, we iterated a framework to aid the understanding and prevention of caregiver depression in dementia. The framework offers an approach to prevention which is simple, systematic, and reflective of the extensive literature.

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Mapping the Medieval Wall System of China and Mongolia: A Multi-Method Approach

Land ◽

10.3390/land10100997 ◽

2021 ◽

Vol 10 (10) ◽

pp. 997

Author(s):

Michael Storozum ◽

Dan Golan ◽

Ido Wachtel ◽

Zhidong Zhang ◽

Johannes S. Lotze ◽

...

Keyword(s):

Large Scale ◽

Western China ◽

Mountain Range ◽

Future Studies ◽

Wide Range ◽

Northern Mongolia ◽

Multi Method Approach ◽

The Comparative Study ◽

Method Approach ◽

Wall System

The Medieval Wall System of China and Mongolia is one of the longest wall systems in the world, but its specific chronology, function, and purpose remain ambiguous. Constructed at various points throughout the 10th to 13th centuries CE, this network of walls, forts, and enclosures covers an estimated 4000 km and spans a wide range of ecozones, from the deserts of western China to the steppes of northern Mongolia and the Khingan mountain range. In this article we used historical atlases, topographic maps, and an array of different kinds of data derived from satellite remote sensing, to produce one of the first accurate maps of the Medieval Wall System. Through this large-scale mapping program, we are now able to evaluate previous work that estimates the length of the wall system and different areas of construction. By measuring the structures associated with the wall and the length of the wall itself, we identified at least three different areas of construction along the Medieval Wall System. Future studies may be able to use similar tools to develop more accurate maps of other wall systems throughout Eurasia to further advance the comparative study of ancient wall systems.

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