Knowledge Transfer Processes in the IS Offshore Outsourcing Transition: A Conceptual Model

Despite promising cost saving potential, many offshore software projects fail to realize the expected benefits. A frequent source of failure lies in the insufficient transfer of knowledge during the transition phase. Former literature has reported cases where some domains of knowledge were successfully transferred to vendor personnel whereas others were not. There is further evidence that the actual knowledge transfer processes often vary from case to case. This raises the question whether there is a systematic relationship between the chosen knowledge transfer process and know-ledge transfer success. This paper introduces a dynamic perspective that distinguishes different types of knowledge transfer processes explaining under which circumstances which type is deemed most appropriate to successfully transfer knowledge. Our paper draws on knowledge transfer literature, the Model of Work-Based Learning and theories from cognitive psychology to show how characteristics of know-ledge and the absorptive capacity of knowledge recipients fit particular knowledge transfer processes. The knowledge transfer processes are conceptualized as combinations of generic knowledge transfer activities. This results in six gestalts of know-ledge transfer processes, each representing a fit between the characteristics of the knowledge process and the characteristics of the knowledge to be transferred and the absorptive capacity of the knowledge recipient.

Fuzzy Web Knowledge Aggregation, Representation, and Reasoning for Online Privacy and Reputation Management

A social Semantic Web empowers its users to have access to collective Web knowledge in a simple manner, and for that reason, controlling online privacy and reputation becomes increasingly important, and must be taken seriously. This chapter presents Fuzzy Cognitive Maps (FCM) as a vehicle for Web knowledge aggregation, representation, and reasoning. With this in mind, a conceptual framework for Web knowledge aggregation, representation, and reasoning is introduced along with a use case, in which the importance of investigative searching for online privacy and reputation is highlighted. Thereby it is demonstrated how a user can establish a positive online presence.

The FORA Framework - A Fuzzy Grassroots Ontology for Online Reputation Management

Online reputation management deals with monitoring and influencing the online record of a person, an organization or a product. The Social Web offers increasingly simple ways to publish and disseminate personal or opinionated information, which can rapidly have a disastrous influence on the online reputation of some of the entities. The author focuses on the Social Web and possibilities of its integration with the Semantic Web as resource for a semi-automated tracking of online reputations using imprecise natural language terms. The inherent structure of natural language supports humans not only in communication but also in the perception of the world. Thereby fuzziness is a promising tool for transforming those human perceptions into computer artifacts. Through fuzzy grassroots ontologies, the Social Semantic Web becomes more naturally and thus can streamline online reputation management. For readers interested in the cross-over field of computer science, information systems, and social sciences, this book is an ideal source for becoming acquainted with the evolving field of fuzzy online reputation management in the Social Semantic Web area. ​

The FORA Framework - A Fuzzy Grassroots Ontology for Online Reputation Management

Online reputation management deals with monitoring and influencing the online record of a person, an organization or a product. The Social Web offers increasingly simple ways to publish and disseminate personal or opinionated information, which can rapidly have a disastrous influence on the online reputation of some of the entities. This dissertation can be split into three parts: In the first part, possible fuzzy clustering applications for the Social Semantic Web are investigated. The second part explores promising Social Semantic Web elements for organizational applications,while in the third part the former two parts are brought together and a fuzzy online reputation analysis framework is introduced and evaluated. Theentire PhD thesis is based on literature reviews as well as on argumentative-deductive analyses.The possible applications of Social Semantic Web elements within organizations have been researched using a scenario and an additional case study together with two ancillary case studies—based on qualitative interviews. For the conception and implementation of the online reputation analysis application, a conceptual framework was developed. Employing test installations and prototyping, the essential parts of the framework have been implemented.By following a design sciences research approach, this PhD has created two artifacts: a frameworkand a prototype as proof of concept. Bothartifactshinge on twocoreelements: a (cluster analysis-based) translation of tags used in the Social Web to a computer-understandable fuzzy grassroots ontology for the Semantic Web, and a (Topic Maps-based) knowledge representation system, which facilitates a natural interaction with the fuzzy grassroots ontology. This is beneficial to the identification of unknown but essential Web data that could not be realized through conventional online reputation analysis. Theinherent structure of natural language supports humans not only in communication but also in the perception of the world. Fuzziness is a promising tool for transforming those human perceptions intocomputer artifacts. Through fuzzy grassroots ontologies, the Social Semantic Web becomes more naturally and thus can streamline online reputation management.

Towards an Emergent Semantic Web

In his in uential article about the evolution of the Web, Berners-Lee [1] envisions a Semantic Web in which humans and computers alike are capable of understanding and processing information. This vision is yet to materialize. The main obstacle for the Semantic Web vision is that in today's Web meaning is rooted most often not in formal semantics, but in natural language and, in the sense of semiology, emerges not before interpretation and processing. Yet, an automated form of interpretation and processing can be tackled by precisiating raw natural language. To do that, Web agents extract fuzzy grassroots ontologies through induction from existing Web content. Inductive fuzzy grassroots ontologies thus constitute organically evolved knowledge bases that resemble automated gradual thesauri, which allow precisiating natural language [2]. The Web agents' underlying dynamic, self-organizing, and best-effort induction, enable a sub-syntactical bottom up learning of semiotic associations. Thus, knowledge is induced from the users' natural use of language in mutual Web interactions, and stored in a gradual, thesauri-like lexical-world knowledge database as a top-level ontology, eventually allowing a form of computing with words [3]. Since when computing with words the objects of computation are words, phrases and propositions drawn from natural languages, it proves to be a practical notion to yield emergent semantics for the Semantic Web. In the end, an improved understanding by computers on the one hand should upgrade human- computer interaction on the Web, and, on the other hand allow an initial version of human- intelligence amplification through the Web.

A fuzzy grassroots ontology for improving social semantic web search

The web is continuously evolving into a collection of many data, which results in the interest to collect and merge these data in a meaningful way. Based on that web data, this paper describes the building of an ontology resting on fuzzy clustering techniques. Through continual harvesting folksonomies by web agents, an entire automatic fuzzy grassroots ontology is built. This self-updating ontology can then be used for several practical applications in fields such as web structuring, web searching and web knowledge visualization.A potential application for online reputation analysis, added value and possible future studies are discussed in the conclusion.

Prometheus Framework for Fuzzy Information Retrieval in Semantic Spaces

This paper introduces a novel vision for further enhanced Internet of Things services. Based on a variety of data (such as location data, ontology-backed search queries, in- and outdoor conditions) the Prometheus framework is intended to support users with helpful recommendations and information preceding a search for context-aware data. Adapted from artificial intelligence concepts, Prometheus proposes user-readjusted answers on umpteen conditions. A number of potential Prometheus framework applications are illustrated. Added value and possible future studies are discussed in the conclusion.

Prometheus – Fuzzy Information Retrieval for Semantic Homes and Environments

This paper introduces a novel vision for further enhanced Internet of Things services. Based on a variety of data – such as location data, ontology-backed search queries, in- and outdoor conditions – the Prometheus framework is intended to support users with helpful recommendations and information preceding a search for context-aware data. Adapted from artificial intelligence concepts, Prometheus proposes user-readjusted answers on umpteen conditions. A number of potential Prometheus framework applications are illustrated. Added value and possible future studies are discussed in the conclusion.

0 and Metacognition: Relations and individual differences in 2nd graders

Introduction. Prospective Memory (PM), defined as the ability to remember to perform intended activities at some point in the future (Kliegel & Jäger, 2007), is crucial to succeed in everyday life. PM seems to increase over the childhood years (Zimmermann & Meier, 2006), but yet little is known about PM competences in children in general, but also about factors that influence its development. Currently, a number of studies has focused on factors that might influence PM performance, with EF being potentially influencing mechanisms (Ford, Driscoll, Shum & Macaulay, 2012; Mahy & Moses, 2011). Also metacognitive processes (MC: monitoring and control) are assumed to be involved while learning or optimizing one’s performance (Krebs & Roebers, 2010; 2012; Roebers, Schmid, & Roderer, 2009). Yet, the empirical relation between PM, EF and MC remains rather unclear. We intend to examine relations and explain individual differences in PM performance. Method. An empirical cross-sectional study on 120 2nd graders will be presented. Participants completed six EF tasks (a Stroop, two Updating Tasks, two Shifting Tasks, a Flanker Task), a computerised event-based PM Task and a MC spelling task. Children were tested individually in two sessions of 30 minutes each. Each of the three EF components defined by Miyake, Friedman, Emerson, Witzki & Howerter (2002) was represented by two variables. PM performance was represented by PM accuracy. Metacognitive processes (control, monitoring) were represented separately. Results. Preliminary analyses (SEM) indicate a substantial association between EF (updating, inhibition) and PM. Further, MC seems to be significantly related only to EF. We will explore whether metacognitive monitoring is related to PM monitoring (Roebers, 2002; Mantylä, 2007). As to EF and MC, we expect the two domains to be empirically well distinguishable and nevertheless substantially interrelated. Discussion. The results are discussed on a broader and interindividual level.

Family change theory: A preliminary evaluation on the basis of recent cross-cultural studies

Family change theory (Kagitcibasi, 1996, 2007) is an approach which can be used to explain how modernisation and globalisation processes affect the family. The most important assumption of the theory is that when traditional interdependent cultures modernise, they need not necessarily develop in the direction of the independent family model typical of Western individualistic societies. Instead, they may develop towards a family model of emotional interdependence that combines continuing emotional interdependencies in the family with declining material interdependencies and with rising personal autonomy. In this chapter a preliminary evaluation of the empirical status of family change theory is given based on a review of recent cross-cultural studies. It will be shown to what extent the few studies that have been systematically conducted in this respect have found results either supporting or not supporting aspects ofthe theory, and where the strengths and problems of this research lie.

Adolescents' value of children and their intentions to have children: A cross-cultural and multilevel analysis

This study contributes to research regarding the value of children (VOC) by comparing adolescents' VOC and their intentions to have children across 12 cultures and by exploring the relations between these constructs at the individual and cultural levels using multilevel modeling. A total of 3,348 adolescents from 12 cultures participated in this study. On average, adolescents reported that they intended to have about two children and also reported emotional VOC as being highly important. Adolescents from cultures with a low as compared to a high level of economic development reported a higher importance of the utilitarian-normative VOC. Results of the multilevel analyses showed that the reported emotional VOC was positively related to the number of children adolescents intended to have at the individual level, whereas the utilitarian-normative VOC was not related to adolescents' intention to have children. At the cultural level, the VOC dimensions were only partly related to adolescents' intention to have children. The results are discussed with regard to adolescents' future family orientation and in relation to the VOC approach.

Adolescents' family models: A cross-cultural study

Die vorliegende kulturvergleichende Arbeit befasst sich mit den Familienmodellen Jugendlicher in zehn Kulturen auf Basis eines typologischen Ansatzes und eines Mehrebenenansatzes. Sie leistet damit einen empirischen Beitrag zur Theorie der Familienmodelle im kulturellen Wandel nach Kagitcibasi (2007). Diese Theorie postuliert die Existenz dreier idealtypischer Familienmodelle: ein Familienmodell der Independenz, das in industrialisierten westlichen Gesellschaften vorherrscht, ein Familienmodell der (vollständigen) Interdependenz, das in nicht-industrialisierten agrarischen Kulturen zu finden ist, und als Synthese aus den beiden genannten ein Familienmodell der emotionalen Interdependenz. Letzteres entwickelt sich der Theorie zufolge, wenn nicht-industrialisierte kollektivistische Kulturen Modernisierungsprozessen ausgesetzt sind. Traditionelle Kulturen mit einem Familienmodell der (vollständigen) Interdependenz sollen sich also im Zuge gesellschaftlicher Modernisierungsprozesse nicht notwendigerweise hin zum Familienmodell der Independenz entwickeln, sondern zu einem emotional-interdependenten Modell, das erlaubt, Autonomie mit enger interpersoneller Verbundenheit zu vereinen. Diese Annahme steht im Widerspruch zu klassischen modernisierungstheoretischen Annahmen und wurde in bisherigen Studien nur unzureichend geprüft. In einem typologischen Mehrebenen-Ansatz sollen Profile allgemeiner und familienbezogener Werthaltungen Jugendlicher identifiziert werden, die mit den drei idealtypischen Familienmodellen theoretisch verbunden werden können. In einem zweiten Schritt sollen diese Wertemuster durch verhaltensnähere Familienmodellindikatoren validiert werden. Die Daten für diese Arbeit stammen aus der von der Deutschen Forschungsgemeinschaft geförderten kulturvergleichenden und interdisziplinären Value of Children and Intergenerational Relations Studie (Trommsdorff, 2001) und umfassen eine Stichprobe von 2566 Jugendlichen aus der Volksrepublik China, Deutschland, Frankreich, Indien, Indonesien, Israel, Japan, Südafrika, der Schweiz und der Türkei. Zur Identifikation der angenommen Familienmodell-Werteprofile wurden Cluster-Analysen auf der Kultur- und auf der Individualebene durchgeführt. Auf beiden Analyseebenen zeigten sich drei Werteprofile, die dem erwarteten Muster der drei idealtypischen Familienmodelle entsprachen. Das Familienmodell der emotionalen Interdependenz zeigte dabei bezüglich der Werthaltungen, die emotionale Interdependenzen in der Familie widerspiegeln ähnlich hohe Werte wie das Familienmodell der (vollständigen) Interdependenz, dagegen zeigte es ähnliche Werte wie das Familienmodell der Independenz in Bezug auf Autonomie und materielle Interdependenz widerspiegelnde Werte. In Kulturen, die auf der Kulturebene ein bestimmtes Familienmodell-Werteprofil aufwiesen befanden sich zudem überwiegend Jugendliche, die das jeweils korrespondierende Werteprofil auf der individuellen Analyseebene aufzeigten. Zur Validierung der erhaltenen Familienmodell-Werteprofile wurden diese zu verhaltensnäheren Merkmalen von Familienmodellen in Beziehung gesetzt. Die Vorhersage erfolgte auch hier jeweils getrennt für die Kultur- und Individualebene. Mit Hilfe multinomialer logistischer Modelle wurde zunächst der Effekt der Familienmodell-Werteprofile auf die Bereitschaft der Jugendlichen überprüft, ihren Eltern bei der Hausarbeit zu helfen. Die Ergebnisse zeigten einen starken Effekt der Familienmodell-Werteprofile auf beiden Analyseebenen: fast alle Jugendlichen mit einem Familienmodell der (vollständigen) Interdependenz würden ihren Eltern helfen statt sich wie geplant mit ihren Freunden zu treffen, wohingegen nur zwei Drittel bzw. nur ein Drittel der Jugendlichen mit einem Familienmodell der emotionalen Interdependenz bzw. der Independenz der Bitte der Eltern folgen würde. In Bezug auf die familienbezogenen Zukunftsorientierungen Jugendlicher zeigte sich für die Pläne für eine zukünftige Heirat/Beziehung, dass Jugendliche mit einem Familienmodell der (vollständigen) Interdependenz den stärksten Heiratswunsch hatten. Jugendliche mit einem Familienmodell der emotionalen Interdependenz waren bezüglich dieser Frage am unsichersten, und Jugendliche mit einem Familienmodell der Independenz äußerten die stärkste Ablehnung in dieser Frage. In Bezug auf Pläne, später eigene Kinder zu haben zeigten sich ähnliche Effekte, die aber insgesamt schwächer ausfielen. Insgesamt zeigte sich trotz der Unterschiede eine hohe familienbezogene Zukunftsorientierung in allen Familienmodell-Werteprofilen sowie in allen Kulturen. Bezüglich der Sohn- bzw. Tochterpräferenz zeigten sich keine Effekte der Familienmodell- und Kulturzugehörigkeit. Die Ergebnisse der Studie stärken die umstrittene Validität insbesondere des Familienmodells der emotionalen Interdependenz. Ob es sich hierbei im Sinne der Theorie von Kagitcibasi um ein synthetisches Konvergenzmodell oder eher um ein Übergangsmodell handelt, muss zukünftige Forschung zeigen.

A Conceptual Model to Combine Creativity Techniques with Fuzzy Cognitive Maps for Enhanced Knowledge Management

This chapter introduces a conceptual model to combine creativity techniques with fuzzy cognitive maps (FCMs) and aims to support knowledge management methods by improving expert knowledge acquisition and aggregation. The aim of the conceptual model is to represent acquired knowledge in a manner that is as computer-understandable as possible with the intention of developing automated reasoning in the future as part of intelligent information systems. The formal represented knowledge thus may provide businesses with intelligent information integration. To this end, we introduce and evaluate various creativity techniques with a list of attributes to define the most suitable to combine with FCMs. This proposed combination enables enhanced knowledge management through the acquisition and representation of expert knowledge with FCMs. Our evaluation indicates that the creativity technique known as mind mapping is the most suitable technique in our set. Finally, a scenario from stakeholder management demonstrates the combination of mind mapping with FCMs as an integrated system.