Knowledge Flow, Transfer, Sharing, and Exchange
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ItemPsychology of Business Intelligence Tools: Needs-Affordances-Features Perspective( 2020-01-07)This study applied the Needs-Affordances-Features (NAF) framework to study psychological motivations behind the use of Business Intelligence (BI) tools especially when the use of such tools is voluntary. Our findings suggest that psychological needs motivate the use of BI tools that provide 13 affordances to fulfill five psychological needs, namely autonomy, competence, relatedness, having a place and self-realization. These affordances were identified through a review of six publicly available BI tools. This study posits that three groups of affordances––creation, collaboration, and communication––explain the relationship between psychological needs and applications of BI. This study generates important implications for BI research by providing an overarching framework for the affordances of BI tools as a whole and explaining the importance of psychological needs that motivate the use of BI tools. The results also provide a new lens and common vocabulary for future studies and design of BI tools.
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ItemControl vs Freedom: How Companies Manage Knowledge Sharing with Open Source Software Communities( 2020-01-07)Knowledge sharing is essential for successful collaboration between companies and external communities. We lack knowledge regarding the micro-processes companies deliberately introduce to manage knowledge sharing with such outside parties. We research these processes in the context of collaboration between companies and open source software (OSS) communities by posing the question: How do companies design explicit mechanisms to manage knowledge exchange with OSS communities? We conduct an explorative case study at Siemens AG. Siemens introduced a formal template process which can be adapted by the organizational units according to their demands. Results show that the extent to which the process is implemented depends on the level of closeness to core intellectual property of the organizational unit and the intensity of the involvement in OSS communities. Developers use several methods to shortcut the process. Our study contributes to the literature on organizational knowledge sharing, company-involved OSS development, and open innovation of firms.
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ItemUnderstanding the Impact of Knowledge Sharing through Enterprise Social Networking (ESN) on Service Innovation( 2020-01-07)As the service sector has grown significantly in recent years, researchers are paying increasing attention to the co-creation and the application of knowledge in the service innovation. Knowledge sharing maybe a key driver of service innovation, as it encourages decisions to apply knowledge into products, services and organizational designs. The emergence of social media technologies, especially enterprise social networking (ESN), has made knowledge sharing easier, but has also led to some negative outcomes. These negative outcomes are low productivity, interpersonal conflict and possibility of leaking out sensitive information. The purpose of this study is to understand how knowledge sharing through ESN can influence innovation in the service industry, and how the strength of this relationship is affected by the governance of ESN. The paper puts forward a conceptual model and explains how it will be examined used mixed methods. We report on on-going data collection and emergent findings on our preliminary data acquired from interviews. The study will help managers understand how ESN can be used to support innovation in the service industry.
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ItemDesigning Knowledge Management System for Supporting Craftsmen’s Collaboration beyond Temporal Boundaries( 2020-01-07)Knowledge of traditional craft practitioners has been transmitted through demonstration in master-apprentice relations. These rare skills are in danger of being lost due to their low productivity and labor intensiveness in our modern industrialized society. In collaboration with traditional craft practitioners in the metal casting industry, we designed an interactive knowledge management system that captures and passes on distributed tacit knowledge of experts. We found that collaborative social practice with focus on computational alternatives helped craftsmen with limited design knowledge to recognize and reflect upon their own skills, as well as values of the industry. Furthermore, technologically enhanced communication possibilities beyond temporal boundaries encourage craftsmen to conduct seamless skill transfer to the next generation. We discuss how design participation of craftsmen led to mindset changes and argue how their receptive collaboration contributed to the design life cycle of a knowledge management system.
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ItemThe Effect of Implementing an SMS Messaging System to Overcome the Lack of Transmission of HPV Facts in Saudi Arabia( 2020-01-07)Human papillomavirus (HPV) infections are the leading cause of cervical cancer, which kills hundreds of thousands of women around the world. Facts about HPV exist, yet there is a lack of knowledge about it among women who need to know. One factor that limits the spread of knowledge is that HPV is marked by stigma. Another is factor is language barriers. The main aim of this research is to develop and implement a "theory of the solution" (Markus, 2014). The solution designed involves a 2-way interactive messaging system, directed by an HPVWA flowchart, to increase and maintain women's self-efficacy to educate themselves about HPV. The system is one possible solution to the problem of the lack of transmission of HPV facts. 34 Saudi women participated in the research. Its results indicate that using an SMS messaging system is an effective method to use to increase and maintain women's self-efficacy.
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ItemAn Automatic Ontology Generation Framework with An Organizational Perspective( 2020-01-07)Ontologies have been known for their powerful semantic representation of knowledge. However, ontologies cannot automatically evolve to reflect updates that occur in respective domains. To address this limitation, researchers have called for automatic ontology generation from unstructured text corpus. Unfortunately, systems that aim to generate ontologies from unstructured text corpus are domain-specific and require manual intervention. In addition, they suffer from uncertainty in creating concept linkages and difficulty in finding axioms for the same concept. Knowledge Graphs (KGs) has emerged as a powerful model for the dynamic representation of knowledge. However, KGs have many quality limitations and need extensive refinement. This research aims to develop a novel domain-independent automatic ontology generation framework that converts unstructured text corpus into domain consistent ontological form. The framework generates KGs from unstructured text corpus as well as refine and correct them to be consistent with domain ontologies. The power of the proposed automatically generated ontology is that it integrates the dynamic features of KGs and the quality features of ontologies.
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ItemExtending a System for Measuring Dynamic Knowledge: Reconsidering Knowledge Flow Efficiency for Decision Support( 2020-01-07)Knowledge is key to competitive advantage, but it is inherently invisible, intangible and resistant to quantification, particularly when in dynamic motion. Recent research builds upon emerging knowledge measurement techniques and well-established knowledge flow theory to develop a system for measuring dynamic knowledge in the organization. Results from application to archetypical organization processes are highly consistent with extant theory. However, they also lead us to question some theoretic concepts and correspondences. In this article, we extend the measurement system and reconsider the effects of knowledge flow efficiency through dynamic measurement. We then illustrate how such extension establishes a novel decision support capability.
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