Extending knowledge management to mobile workplaces

Derballa, Volker; Pousttchi, Key

doi:10.1145/1052220.1052294

Cited by 36 publications

(27 citation statements)

References 21 publications

(16 reference statements)

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“…It can be used to share tacit knowledge retained by former team members who may now be dispersed. The ability of the mobile phone to be ubiquitous can help students to overcome this impediment to knowledge transfer (Derballa & Pousttchi 2004). This reduces reaction time and ensures convenience during knowledge sharing, hence:…”

Section: Propositionsmentioning

confidence: 99%

Investigating the extent to which mobile phones reduce Knowledge Transfer barriers in Student Project Teams

Kyobe

Shongwe

2011

S. Afr. j. inf. manag.

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Group learning plays a key role in the transfer of knowledge. In institutions of learning, it enhances students’ understanding, critical thinking, integration of knowledge and knowledge sharing. However, the transfer of knowledge in group projects is often impeded by factors such as time and budget constraints, individual and social barriers, and a lack of motivation.Institutions of learning are increasingly adopting information and communication technologies (e.g. mobile technologies) to provide solutions to the challenges facing them. Whilst the integration of the mobile context and technologies in learning environment has been encouraged over the years, and indeed many students today can use mobile phones, the effectiveness of these technologies in reducing impediments to knowledge transfer in group learning has not been investigated.This study investigated the extent to which mobile phones reduce the barriers to knowledge transfer in project groups. The impediments examined include the nature of knowledge, social barriers, lack of time and lack of motivation. Quantitative and qualitative approaches were used to collect and analyse the data. The sample consisted of 85 students engaged in group projects in the departments of Information Systems, Civil Engineering, Computer Science and Construction Engineering.The results show that mobile phones reduce all four knowledge transfer barriers investigated in the project groups. We found no significant difference in the nature of knowledge shared by teams with weak and strong ties. This suggests that teams with weak social ties who normally experience difficulty sharing complex (tacit) knowledge can easily do so with the aid of mobile facilities. In addition, frequent users of mobile phones were motivated to share explicit knowledge with their peers whilst those who often work with tacit knowledge could convert it to explicit form and share it with others. Mobile features like short messaging service and multimedia messaging service (SMS & MMS or what some people refer to as ‘texting’), and email were mainly used to share knowledge and were perceived to reduce knowledge transfer time more than voice facilities.Our findings indicate that most students do not utilise the affordances of mobile phones for tacit knowledge transfer. Sharing of tacit knowledge needs to be encouraged since it allows individuals to achieve personal goals and may lead to effective management of oneself, other people and tasks. In addition, students do not appear to recognise the role of mobile phones in enhancing knowledge transfer. More awareness of this role needs to be created in institutions of learning in order to improve group learning and student performance.How to cite this article: Kyobe, M.E. & Shongwe, M.M., 2011, ‘Investigating the extent to which mobile phones reduce Knowledge Transfer barriers in Student Project Teams’, SA Journal...

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Section: Propositionsmentioning

confidence: 99%

Investigating the extent to which mobile phones reduce Knowledge Transfer barriers in Student Project Teams

Kyobe

Shongwe

2011

S. Afr. j. inf. manag.

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“…The reasoning is performed in terms of SWRL (Semantic Web Rule Language) rules that are applied on knowledge represented in the OWL-DL (Description Logics) ontology. It should be noted here that reasoning in systems integrating DL ontologies and rules is a very hard task [56]. This is mainly due to undecidability of reasoning in such systems.…”

Section: Ontology Reasoningmentioning

confidence: 99%

“…Unlike explicit knowledge that is coded knowledge, tacit knowledge is knowledge that is embedded in system actors (i.e. learners and other dynamic context elements) [56] and which is difficult to be shared and distributed. In this study, the upper ontology space, built out of the five integrated sub-ontologies is used in such a way to allow tacit knowledge related to learners and their context to be defined at the semantic level and used to a great extent in the personalization process.…”

Section: Ontology Reasoningmentioning

confidence: 99%

“…Connection speed is an attribute that is straightforward to obtain and it represents the maximum theoretical speed for the used wireless adapter [56]. Knowing the type of the network connection, such as IEEE 802.11 or GPRS, gives our reasoning engine the insight that allows it to make some adaptation choices related to media-type and size of resources that are to be retrieved.…”

Section: System-centric Adaptationmentioning

confidence: 99%

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Context-aware recommender for mobile learners

Benlamri

Zhang

2014

Hum. Cent. Comput. Inf. Sci.

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As mobile technologies become widespread, new challenges are facing the research community to develop lightweight learning services adapted to the learner's profile, context, and task at hand. This paper attempts to solve some of these challenges by proposing a knowledge-driven recommender for mobile learning on the Semantic Web. The contribution of this work is an approach for context integration and aggregation using an upper ontology space and a unified reasoning mechanism to adapt the learning sequence and the learning content based on the learner's activity, background, used technology, and surrounding environment. Whenever context change occurs, the system identifies the new contextual features and translates them into new adaptation constraints in the operating environment. The proposed system has been implemented and tested on various mobile devices. The experimental results show many learning scenarios to demonstrate the usefulness of the system in practice.

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“…Mobile technology is rapidly developing and encompasses a considerable number of devices, from small PDAs, to laptops and tablet PCs (Derballa and Pousttchi 2004). Mobile devices can be broadly divided into the Laptop Computer, Handheld (e.g., Palm), Telephone, Hybrid (e.g., 'smart phone' PDA/telephone), Wearable (e.g., jewellery, watches), Vehicle Mounted (in automobiles) and Speciality, with enabling technologies such as GPS and Blue Tooth (Mennecke and Strader, 2002).…”

Section: Mobile Decision Supportmentioning

confidence: 99%

Support for Real-Time Decision Making in Mobile Financial Applications

Burstein¹,

Zaslavsky²,

Pedro³

2008

Handbook on Decision Support Systems 2

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Mobile users making real-time decisions based on current information need confidence about their context been taken into consideration in producing recommendations. This chapter reviews current use of mobile technologies for decision support. Specifically, it describes a framework for assessing the impact of mobility in decision-making. The framework uses dynamic context representation of data quality to represent uncertainties in the mobile computing environment. This framework can be used for developing visual interactive displays for communicating to the user relevant changes in data quality when working in mobile environment. As an illustration, this chapter proposes a real-time decision support procedure that aims at providing on-the-spot assistance to the mobile consumer when choosing the best payment option to efficiently manage the user's budget. The proposed procedure is based on multi-attribute decision analysis, scenario reasoning and a quality of data framework. Feasibility of the approach is demonstrated with a mobile decision support system prototype implementation.

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Extending knowledge management to mobile workplaces

Cited by 36 publications

References 21 publications

Investigating the extent to which mobile phones reduce Knowledge Transfer barriers in Student Project Teams

Investigating the extent to which mobile phones reduce Knowledge Transfer barriers in Student Project Teams

Context-aware recommender for mobile learners

Support for Real-Time Decision Making in Mobile Financial Applications

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