bluuebunny/crossref_metadata_2025_split huggingface dataset:
Knowledge management initiatives in Indian public and private sector organizations
Authors: Chawla Deepak , Joshi Himanshu 
Published: October 2010

PurposeThere is no single way of achieving business success. The concept of knowledge management (KM) builds on the existing management practices, integrating them into a philosophy for improving performance. This paper aims to understand the various dimensions of KM and how they differ in public and private sector organizations in India. It also attempts to identify the dimensions where one sector is better than the other and areas needing improvement.Design/methodology/approachThe paper uses a sample comprising 16 private and public sector organizations. A convenient sampling scheme was used. The extent of KM practices was evaluated with respect to dimensions, namely process, leadership, technology, culture and measurement.FindingsThe paper empirically shows that private sector organizations fare better statistically on all dimensions compared to public sector organizations. Although the private sector is ahead of the public sector on the raw mean scores of various dimensions, it has still a long way to go as the scores are below four on a scale of five. The scores are just satisfactory and there is further scope for improvement.Research limitations/implicationsThe study uses a sample of four public sector organizations and the findings may lack generalization. Therefore, it would be interesting to verify the findings using a larger sample size.Practical implicationsThe paper can serve as a best practice document for public and private sector organizations interested in adopting KM for improving performance.Originality/valueThe paper tries to bring forth concern areas for KM in Indian public and private sector organizations.
Attitudes towards knowledge transfer in an environment to perform
Authors: Gururajan Vijaya , Fink Dieter 
Published: October 2010

PurposeThis paper seeks to determine attitudes that impact on knowledge transfer between academics (university teaching and research staff) employed in today's competitive, technology‐based university setting.Design/methodology/approachThe study generated a rich set of data by conducting, first, an exploratory, qualitative study followed by a confirmatory, quantitative study. Through this process, an initial list of 402 attitudes to knowledge transfer was derived which was narrowed to 75 for the quantitative survey which, through factor analysis, was further reduced to 24 variables. The 24 variables were grouped into four factors for which trust and motivation are more relevant to the knowledge provider and absorptive capacity and knowledge regeneration for the receiver.FindingsHigh levels of agreement were found for the propositions that senior academics lacked compensation for mentoring activities, and hence, the motivation to transfer knowledge, and that a heavy teaching load prevented the absorption of transferred knowledge. By contrast, disagreement was found with the propositions that an elderly age impeded the transfer of knowledge or adapting to new ways of transferring knowledge.Practical implicationsFrom the responses obtained it was possible to identify those rated highly and from which conclusions could be drawn that may assist the university concerned to improve knowledge transfer among its academic staff. Compensation to senior academics for their time and effort was seen as the most important pre‐requisite for knowledge transfer. A reduction in teaching loads and the range of expectations to which academics are subjected would also facilitate knowledge transfer as would increasing academics' use of ICT and ability to assess its effectiveness, as well as recognising that knowledge transfer during social interactions may ameliorate the lack of knowledge transfer in the more formal, technology‐based environment.Originality/valueThe paper identifies key attitudes of academics to transferring knowledge to colleagues in the changing work place at universities in which academics are expected to perform at a high level in diverse activities and use technology to maximise their efficiency and effectiveness.
Industry culture influences pseudo‐knowledge sharing: a multiple mediation analysis
Authors: Cameron Cockrell R. , Stone Dan N. 
Published: October 2010

PurposeThe paper seeks to extend self‐determination theory (SDT) and the triple helix model of knowledge sharing to predict that between‐industry differences in financial rewards and the quality of knowledge‐sharing motivation will explain the extent of useless, pseudo‐knowledge sharing.Design/methodology/approachParticipants are certified management accountant (CMA) survey respondents in two industries: finance, insurance, and real estate (FIRE; n=52) and higher education (n=50).FindingsConsistent with predictions, the results indicate more pseudo‐knowledge sharing occurs among FIRE than among higher‐education CMAs, and, financial incentives and the quality of knowledge‐sharing motivation fully mediate the effect of industry on pseudo‐knowledge sharing.Research limitations/implicationsA larger sample, and triangulating the survey data with archival and non‐self‐reported measures, would strengthen the inferences and conclusions.Practical implicationsIndustry culture, through its influence on financial rewards and organizational knowledge culture, may affect the success or failure of organizational knowledge‐sharing initiatives.Originality/valueThis is among the first investigations to define and investigate “dark”, pseudo‐knowledge sharing, which can impede organizational goals.
Knowledge‐based integrated production management model
Authors: Muniz Jorge , Dias Batista Edgard , Loureiro Geilson 
Published: October 2010

PurposeThis paper aims to propose a model of production management that integrates knowledge management, as a third dimension, to the production and work dimensions and to identify factors that promote a favorable context for knowledge sharing and results achievement in the production operations shop floor environment.Design/methodology/approachThe model proposed is built from opportunities identified in the literature review.FindingsThe factors in the model integrate its three main components: knowledge management, production organization and work organization, providing a representation of the dynamics of the workplace and shop floor environment.Practical implicationsThe proposed model and its factors allow managers to better understand and to improve the organization activities, because it integrates knowledge management with the production organization and work organization components of traditional models.Originality/valueLiterature acknowledges the role of knowledge as competitive advantage, but it is still dealt in an implicit way within the traditional models of production management. This paper proposes a model and factors that provide a favorable context for tacit knowledge sharing and results achievement in the production operations shop floor environment. The model explicitly integrates knowledge management with traditional models' components.
Defining a knowledge management conceptual model by using MADM
Authors: Kazemi Mostafa , Zafar Allahyari Maral 
Published: October 2010

PurposeTo survive high‐level management needs business intelligent information to efficiently manage corporate operations and support its decision making. Knowledge management (KM) is recognized as one of the most critical factors for obtaining organizational competitive advantage. A variety of factors determines significant success ingredients for successful implementation of KM in any organization. The primary challenge in KM initiation is how to integrate the above factors with organizational and personnel constraints and capabilities. This paper aims to develop a priority framework based on multi‐criteria decision making (MCDM) to help organizations build awareness of the critical influential factors affecting successful implementation of KM.Design/methodology/approachTo identify critical influential factors, the authors studied and reviewed relevant literature from numerous fields of study associated with the essential issues of KM projects implementation. These cover the factors that affect a KM implementation based on comprehensive analysis of KM literature from numerous research studies. Research methodology used in this study is based on a combination of other methodologies such as action research, group discussion, documentary study and questionnaire research. For this purpose a group of experienced managers were selected and discussion sessions were held to set objectives and road map the study. Finally group analysis hierarchy process (GAHP) was used to analyse questionnaires and prioritize influential factors.FindingsThe conceptual framework presents a roadmap for success of KM programs in the organizations. The paper identifies eight major aspects, 44 influential factors and a conceptual framework to assisting managers to design and implement a KM system in their organizations. The results show top management, executive management and culture have great impact on success of KM implementation among main aspects. The conceptual framework presents guidelines for success of KM implementation in organizations.Practical implicationsThe result of this study not only validates theory with reality, but it also provides a reference for the academic as well as the business world. It is hoped that the factors proposed in this study help organizations to manage knowledge activities effectively and implement knowledge projects smoothly in order to maximize benefits from KM projects and returns from knowledge assets.Originality/valueThis study is the first to provide an integrated perspective of critical success factors in KM implementation in Khorasan Science and Technology Park (KSTP). It gives valuable guidelines for top managers and leaders to accomplish KM projects effectively.
Investigating the role of social capital in innovation: sparse versus dense network
Authors: Alguezaui Salma , Filieri Raffaele 
Published: October 2010

PurposeThe purpose of this paper is to analyze the literature on social capital and its contribution to innovation performance.Design/methodology/approachThrough an intensive review of the literature, the paper first analyzes the origin of the concept of social capital. It then explains the contribution of social capital within the organization and management studies. Further, social capital is considered the facilitator of knowledge search and knowledge sharing activities, which are considered of capital importance to innovation outcomes. Further, the paper clarifies the implications of social capital to two types of innovation: radical vs incremental innovation. Finally, the paper analyzes the structural dimension of social capital by focusing on the contribution of two different configurations and their effect on innovation: sparse vs cohesive networks.FindingsThe paper contributes to the literature by uncovering the positive, but also the negative, drawbacks of social capital. Moreover, the paper focuses on the structural dimension of social capital and it discusses the controversial results of two different configurations of social capital (sparse vs cohesive networks) to the innovation performance.Originality/valueThis paper provides a comprehensive literature review on both the positive and negative effects of social capital on innovation performance. The paper links social capital to the new innovation model, emphasizing the importance of social capital to knowledge search and sharing activities, and then to the innovation process. The authors suggest investigating the contribution of social capital according to firms' innovation scopes.
Social network productivity in the use of SNS
Authors: Magnier‐Watanabe Rémy , Yoshida Michiko , Watanabe Tomoaki 
Published: October 2010

PurposeThis paper aims to focus on the effect of intranet‐based social networking services (SNS) on the activity of the firm, in particular on the change in the number of business connections and on the time and cost‐savings brought about by such SNS.Design/methodology/approachThe authors hypothesize that the use of intranet‐based SNS positively influences “social network productivity” defined as the relationship between interconnectedness and knowledge performance, whereby an increase in the number of business contacts may result in a shortened and less costly retrieval of work‐relevant knowledge. Drawing on a large sample of Japanese respondents, a taxonomy based on levels of organizational social capital and innovativeness was used to assess the moderating effects of social capital and innovativeness on social network productivity.FindingsSNS were found to mildly improve efficiency in accessing knowledge or in increasing the number of business contacts. More importantly, this study reveals that in using intranet‐based SNS, companies with both higher social capital and innovativeness displayed higher social network productivity.Research limitations/implicationsThe use of SNS was treated implicitly and should therefore be measured independently, and detailed data on the respondents' organizations would be useful to reveal organizational clusters.Practical implicationsBecause fostering social capital and innovativeness rests largely on the firm's organizational culture, leaders who want to implement SNS effectively should pay special attention to the culture of their organization.Originality/valueIn the use of business SNS, practitioners need to consider particular organizational characteristics that may affect the effectiveness of intranet‐based SNS.
Creating abafor generating self‐transcending knowledge
Authors: Kaiser Alexander , Fordinal Birgit 
Published: October 2010

PurposeThe purpose of this paper is to introduce a new type of ba, called “vocation ba” and to describe the main aspects of this type of ba as well as its methods.Design/methodology/approachThe paper reviews the literature in the field of self‐transcending knowledge and the concept of ba and shows the main aspects for the design of a new methodology and framework. Additionally it analyzes experiences with the new method from several case studies.FindingsFirst the concept of vocation ba describes a space on the individual level as well as on the collective level for the generation of self‐transcending knowledge. Second the method of Vocation‐coachingWaVeis a helpful method within the vocation ba. The experiences with these two new concepts from several case studies are very encouraging.Research limitations/implicationsThe number of case studies at the collective level is still limited, as the authors have been working with the method of Vocation‐coachingWaVeat the collective level for two years. At the moment further research is done in larger systems.Practical implicationsThis study gives insight and information about the method of Vocation‐coachingWaVeand the concept of vocation ba.Originality/valueThe paper presents one of the few studies, which theoretically and practically deals with the aspect of self‐transcending knowledge in the context of vision development processes and knowledge‐based management on the individual level as well as on the collective level. The method of Vocation‐coachingWaVeat the collective level is a continuous approach of a bottom‐up vision development process.
The means‐end cognitions of web advertising: a cross‐cultural comparison
Authors: Fu Chen‐Su , Wu Wann‐Yih 
Published: October 2010

PurposeThe paper, based on the concepts of means‐end chain (MEC) theory and high versus low‐context cultures, aims to understand whether the differentiation of culture connotations is directly reflected in the design of web advertisements and whether the text content of web ads is a reliable indicator of different context cultures (e.g. implicit and explicit).Design/methodology/approachChanging consumer attitudes toward the use of credit provides huge business opportunities for credit card issuers. Obviously, credit card issuers have continued their efforts to persuade large numbers of people to obtain and use the cards. Credit cards can thus be considered a successful intercultural marketing case of product internationalisation. Therefore, this paper used web ads for credit cards as research subjects. This paper adopts MEC theory and the distinction between high‐ and low‐context cultures to identify whether the cultural context directly affects the design and content of web advertisements.FindingsThrough examining the advertising copy of credit card web sites, this study found that the higher the cultural context, the more complicated the cognitive attribute‐consequence‐value structures of web ad design. Thus, web design analysis reveals that marketers living in countries with high‐context cultures normally communicate indirectly with their target audience, leading to highly complex attribute‐consequence‐value linkage structures with many layers.Originality/valueThis is the first study to integrate the concepts of MEC theory and high versus low‐context cultures for understanding the impact of culture on web advertising. By understanding the differentiation of web ad designs across various cultures it is possible to provide marketers with valuable insights for developing advertising strategies in global markets.
Supporting information access in e‐learning by integrating digital libraries and ontology
Authors: He Daqing , Peng Yefei , Mao Ming , Wu Dan 
Published: October 2010

PurposeThe purpose of this paper is to examine the integration of digital library (DL) technologies with ontology‐based knowledge representation in providing semantic rich information access (IA) in e‐learning. DL technologies have powerful and flexible content management and access functionalities, whereas ontology helps teachers and students to link content materials to their learning objectives. This paper demonstrates that the integration provides a powerful and meaningful e‐learning environment.Design/methodology/approachDiLight is designed as an interactive e‐learning system that integrates DL and ontology technologies. By conducting comparative experiments involving DiLight in students' actual learning process, the authors examined the advantages and limitations of DiLight in e‐learning.FindingsCompared to a widely used e‐learning environment, DiLight can provide significantly better support for students' complex IA tasks because DiLight is more useful for relationship discovery and problem solving. DiLight is also effective even when students were either less familiar with tasks or felt that they were more difficult. There is no single best access method for all learning situations. Therefore, multiple IA methods should be built into e‐learning systems. Although most of time the search was the first choice of the students, ontology‐based methods were useful in supporting them to complete their tasks too.Originality/valueThis is a comparative empirical study using an interactive e‐learning system called DiLight to explore the usage of integrated DL and ontology in e‐learning. The experiment results demonstrate the value of the multiple IA methods provided by DL, and the usefulness of integrating DL with ontology.
Performance evaluation and comparison of the five most used search engines in retrieving web resources
Authors: Deka Sanjib K. , Lahkar Narendra 
Published: October 2010

PurposeThe purpose of the paper is to evaluate the performance and efficiency of the five most used search engines, i.e. Google, Yahoo!, Live, Ask, and AOL, in retrieving internet resources at specific points of time using a large number of complex queries.Design/methodology/approachIn order to examine the performance of the five search engines, five sets of experiments were conducted using 50 complex queries within two different time frames. The data were evaluated using Excel and SPSS software.FindingsThe paper results highlight the fact that different web search engines, which use different technology to find and present web information, yield different first page search results. The overall analysis of the findings of different measures reveals that Google has a significantly higher rate of performance in retrieving web resources as compared with the other four search engines. Yahoo! is the second best in terms of retrieval performance. The other three search engines did not performed satisfactorily compared with Google and Yahoo!Originality/valueThe paper will provide important insight into the effectiveness of major search engines and their ability to retrieve relevant internet resources. This paper has produced key findings that are important for all web search engine users and researchers, and the web industry. The findings will also assist search companies to improve their services.
Knowledge exploration with concept association techniques
Authors: Liu Chen‐Chung , Fan Chiang Shih‐Hsun , Chou Chih‐Yueh , Chen Sherry Y. 
Published: October 2010

PurposeExploratory learning is regarded as an important ability for developing knowledge from open environments. During the exploration, learners not only need to acquire new information based on their current interests, but also they need to form new perspectives by incorporating new knowledge into their previous knowledge. This paper seeks to address these issues.Design/methodology/approachTo this end, this paper proposes an approach that includes a concept association bank to recommend related concepts in a domain based on the goal of an exploration. By doing so, learners' knowledge can be expanded beyond their current understanding. An experiment was conducted to investigate how the proposed approach facilitated the learners' exploration.FindingsThe results indicated that the concept association bank is a useful mechanism to help learners gain new understanding, including providing exploration directions, reducing complexity and cognitive load, facilitating data‐ and goal‐driven exploration strategies, and commenting on new understanding. The implications of these results are discussed.Originality/valueCurrent recommendation systems emphasise a data‐driven strategy, which seeks isolated pieces of information, instead of suggesting directions related to their exploration goal. The problem with such an approach is that learners' exploration will be limited by their existing knowledge. Thus, this paper presents an approach to support both data‐ and goal‐driven strategies.