Knowledge transfer, Learning and Organizational Capabilities in an inter-organizational software project.

Abstract The aim of this work is to describe how learning and knowledge transfer mechanisms based on knowledge articulation and codification contribute to the development of organizational capabilities in software. The study focuses on client-specific and process capabilities. Results were obtained through a case study involving two partner companies in an inter-organizational project to develop an integrated information management and technology system. Evidence revealed investment and organizational efforts focused on knowledge articulation practices and activities to develop client-specific capabilities, as well as knowledge codification practices and activities to develop process capabilities. We also identified three factors that influenced software professionals’ choice of the respective mechanisms (knowledge articulation and codification) namely: the sharing context, absorptive capacity and task complexity.

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Exploring the Link Between Task Complexity and Students’ Affective States During Engineering Laboratory Activities

Volume 3: 18th International Conference on Advanced Vehicle Technologies; 13th International Conference on Design Education; 9th Frontiers in Biomedical Devices ◽

10.1115/detc2016-59757 ◽

2016 ◽

Cited By ~ 3

Author(s):

Qianyu Hu ◽

Shruthi Bezawada ◽

Allison Gray ◽

Conrad Tucker ◽

Timothy Brick

Keyword(s):

Task Complexity ◽

Affective State ◽

Dropping Out ◽

Affective States ◽

Weak Correlation ◽

Wide Range ◽

Fundamental Understanding ◽

The Relationship ◽

And Task

Assessment and feedback play an instrumental role in an individual’s learning process. Continued assistance is required to help students learn better and faster. This need is especially prominent in engineering laboratories where students must perform a wide range of tasks using different machines. One approach to understanding how students feel towards using certain machines is to assess their affective states while they use these machines. Affective state can be defined as the state of feeling an emotion. The authors of this work hypothesize that there is a correlation between students’ perceived affective states and task complexity. By adopting the Wood’s complexity model, the authors propose to assess how the correlations of perceived affective states of students change while they perform tasks of different complexity. In this study, each student performs a “hard” and an “easy” task on the same machine. Each student is given the same tasks using the same materials. Knowledge gained from testing this hypothesis will provide a fundamental understanding of the tasks that negatively impact students’ affective states and risk them potentially dropping out of STEM tracks, and the tasks that positively impact students’ affective states and encourage them to engage in more STEM-related activities. A case study involving 22 students using a power saw machine is conducted. Perceived affective states and completion time were collected. It was found that task complexity has an effect on subjects’ affective states. In addition, we observed some weak correlation between some of the perceived affective states and laboratory task performance. The distribution of correlation between affective states may change as the tasks change. With the knowledge of the relationship between task complexity and affective states, there is the potential to predict students’ affective states before starting a given engineering task.

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A decision tree conceptualization of choice of knowledge transfer mechanism: the views of software development specialists in a multinational company

Journal of Knowledge Management ◽

10.1108/jkm-05-2013-0195 ◽

2014 ◽

Vol 18 (1) ◽

pp. 194-215 ◽

Cited By ~ 12

Author(s):

Sajjad M. Jasimuddin ◽

Con Connell ◽

Jonathan H. Klein

Keyword(s):

Knowledge Transfer ◽

Decision Tree ◽

Causal Link ◽

Technological Knowledge ◽

Transfer Mechanism ◽

Natural Setting ◽

Content Type ◽

Transfer Mechanisms ◽

Selection Of

Purpose – The purpose of this paper is to empirically study transfer mechanisms of technological knowledge, and to explore the interplay among the factors that influence the choice of a mechanism. Design/methodology/approach – This paper reports on a qualitative case study designed to explore the reasons underlying the selection of intra-organizational knowledge transfer mechanisms. This research was carried out as an exploratory case study, which allowed one to observe the phenomenon in a natural setting. Findings – The results of the present study indicate the interplay between the factors, and link the factors in a sequence that help decide a mechanism. A decision to select a mechanism depends upon several variables; some of them override others, others are interlinked, and sometimes there is a causal link. Research limitations/implications – It is based on a sample of employees that may not be representative of the broader population. Since the samples were drawn only from a MNC, the results may not be generalised. The case study method which was employed in this research does not permit the generalisation of the results. Originality/value – The knowledge transfer literature has discussed the mechanisms used to transfer technological knowledge, but has failed to adequately address the rationale behind the selection of an appropriate knowledge transfer mechanism. The extant literature has isolatedly identified factors that impact on the choice of knowledge transfer mechanism. These issues are not effectively addressed in prior research. The findings are summarized diagrammatically in the form of a decision tree which provides a conceptualization of the decision processes involved in the selection of the medium for knowledge transfer.

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Assessing the basics of knowledge transfer structures

10.31219/osf.io/myexu ◽

2019 ◽

Author(s):

Michael Fascia ◽

mike sanderson ◽

hock tan

Keyword(s):

Knowledge Transfer ◽

Group Dynamics ◽

Knowledge Exchange ◽

Cultural Models ◽

Healthcare Management ◽

Socially Constructed ◽

Patient Groups ◽

Transfer Mechanisms

Dominant research streams in healthcare management conclude that knowledge transfer between patient groups is accomplished through instructions and/or socially constructed practices. Underlying these views is the belief that texts and practices carry with them the codes necessary for their own decoding and, therefore, enable an unproblematic knowledge transfer. The analysis focused specifically on the interrelated effects between constituents of a group receiving ongoing healthcare and the relationships to knowledge transfer management, through which, group membership and knowledge exchange was mediated. The research asked if this relationship could be improved from both a personal and organisational perspective, by better understanding of the knowledge transfer mechanisms at work. We argue that because private and cultural models mediate decoding of information into meaningful knowledge, knowledge is created from the unique combination of cognitive dispositions of acumen, memory, creativity, volition, emotion, and socio-cultural interaction. Thus, mechanisms for decision-making affect socio group dynamics and interactions via the healthcare environment, manager or practitioner. 2 Design/methodology/approach-CASE STUDY. This case study adopted a qualitative constructivist methodology and thematic analysis of the output data. A total of 20 (n1=20) main interviews and 10 (n2=10) follow up interviews took place over a two month period. Findings-Findings indicate that for this group of participants, knowledge transfer depended on the assumption of real world values as opposed to determinates of healthcare practitioners

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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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Investigating Knowledge Transfer Mechanisms for Oil Rigs

Volume 2: 29th Computers and Information in Engineering Conference, Parts A and B ◽

10.1115/detc2009-86967 ◽

2009 ◽

Cited By ~ 2

Author(s):

Giovanna Vianello ◽

Saeema Ahmed

Keyword(s):

Knowledge Transfer ◽

Communication Channels ◽

Transfer Of Knowledge ◽

Actual Situation ◽

Offshore Drilling ◽

Types Of Knowledge ◽

Business Influence ◽

Transfer Mechanisms ◽

Systematic Reuse

It is widely recognized, both in industry and academia, that clear strategies in knowledge transfer positively influence the success of a firm. A firm should support the transfer of knowledge by standardizing communication channels within and across departments, based upon personalization, codification or a combination of these two strategies. The characteristics of the business influence the choice of communication channels used for knowledge transfer. This paper presents a case study exploring the transfer of knowledge within and across projects, specifically the transfer of service knowledge in the case of complex machinery. The strategies used for knowledge transfer were analysed and compared with the expected transfer mechanisms, similarities and differences were investigated and are described. A family of four identical rigs for offshore drilling was the selected case. The transfer of experience across the rigs during the commissioning phase of the first and the second rigs of the series was explored through interviews with the operators and the project management team. Differences between the expected knowledge transfer strategy, focused upon the moving of rig personnel and reusing of lessons learnt from one rig to the next, and the actual situation emerged. Various approaches for transferring knowledge were elicited and analysed with regard to the types of knowledge that were transferred and the context in which they were used. This study indicates factors that should be considered whilst designing a knowledge management system to support the systematic reuse of service knowledge.

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