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In this paper, the organism model for knowledge‐based enterprise is proposed. A dynamic capacity grey set is defined and analyzed based on the definition of the growth and development for knowledge‐based enterprise organism. The structure of the capacity whiten core, a subset of the capacity grey set, is optimized for different periods of the organism's life cycle. The organism grey topological structure model of knowledge‐based enterprise is described to possess the essential capacity grey set.

The purpose of this paper is to examine how the knowledge breadth and depth and the balance of the two affect various dimensions of the innovation performance under the consideration of the organizational slack as a moderating factor of the analysis framework.

This study constructs and verifies a research model of knowledge breadth and depth to the explorative and exploitative innovation performance, using the exploratory factor analysis and the hierarchical regression analysis based on a survey sample of 320 Chinese companies.

The knowledge base is a critical foundation for improving innovation performance of an enterprise. A more detailed analysis reveals that first knowledge breadth provides more benefits for explorative innovation performance while the knowledge depth is more advantageous to exploitative innovation performance of an organization. Second, organizational slack can positively facilitate the improvement of the knowledge depth for the explorative innovation performance while an optimal balance of the knowledge breadth and depth can significantly enhance exploitative innovation performance.

This paper contributes to previous research work by providing both specific comparative studies and a clear explanation of the impacts of different dimensions of the knowledge base, i.e., knowledge breadth and knowledge depth, on innovation performance measures of both exploration and exploitation through a comprehensive empirical study. In particular, organizational slack is found to play a much more complicated moderation role between the knowledge base and the two different dimensions of innovation performance than has been demonstrated in previous research.

Studies on academic entrepreneurship (AE) agree on the significant impact that Universities can have on entrepreneurial development. AE deploys through fundamental activities, like the start-up of new companies and the connection of the University with Enterprises. The purpose of this paper is to analyse the role of digital learning platforms (DLP) to connect Universities and Enterprises effectively. Although the literature has extensively investigated DLP, there is a lack of understanding of the role of DLP in supporting digital AE. This paper focuses, in particular, on the functional requirements that have to distinguish the development of DLPs supporting education-based activities of knowledge transfer between academia and enterprise.

The research is carried out, adopting a case study methodology. A single and holistic case regarding a DLP developed for the strategic and exclusive deployment of AE activities is proposed to describe and discuss the functional requirements of such Platform.

The DLP is a virtual learning space in which Enterprises and Universities can interact. The definition of design requirements is crucial for the efficacy of DLPs and needs to be carefully supported. Various criteria are proposed, respect to the various stakeholders engaged in DAE learning platform (Universities, Enterprises, students, employees), and according to the short- and long-term objectives of Universities and Entrepreneurship connection.

The paper explores an original case of DLP established in AE, to connect Universities and Enterprises. The research also sheds light on the under focussed typology of AE activities regarding education-based knowledge exchange. They are currently unaddressed by the literature on AE.

The purpose of this paper is to develop a collaborative agent-based web architecture and an agent-based green IS assessment tool to aid information technology (IT) practitioners in data centers assess their current green information systems (IS) practice toward attaining sustainability.

The methodology comprises that the collaborative agent-based web architecture, agents’ algorithm and the green IS assessment tool, which is validated by employing focus group questionnaire targeting IT practitioners in seven Malaysian-based enterprises that have an in-house data centers. With 105 valid samples at hand, descriptive analysis and exploratory factor analysis was utilized to determine the applicability of the implemented agent-based green IS assessment tool.

Findings reveal that the agent-based green IS assessment tool possesses the capability to evaluate benchmark and rate enterprise data centers current green IS practice. Additional findings indicate that the agent-based green IS assessment tool provide suggestions on how green IS practice can be improved in enterprise data centers.

This study only collected data from 105 IT practitioners in enterprise data centers based in Malaysia; as such results from this research cannot be generalized to other countries. Moreover, the developed collaborative agents for green IS practice assessment can only be fully deployed after domain experts has added green IS practice assessment questions and alternative answers.

This study presents an autonomous agent-based green IS assessment tool that supports the assessment of enterprise toward inclusion of sustainability considerations to enhance enterprise environmental performance.

This study provides empirical evidence for data centers efficacy leading toward a greener society for environmental conservation for future generations to come.

This study creates awareness by presenting the green IS practice to be implemented by IT practitioners in data centers. In addition, the agent-based green IS assessment tool provides a web-based platform for promoting environmental sustainability by supporting data centers toward evaluating, benchmarking and rating their current green IS practices.

This paper aims to propose a new three-dimensional (3D) fuzzy logic methodology to evaluate the level of misalignment between an enterprise’s knowledge and the knowledge management systems (KMSs) it adopts.

The proposed methodology was implemented by means of a field analysis based on semi-structured face-to-face interviews involving a sample of 61 small and medium enterprises (SMEs) operating in high-tech and/or complex industries.

The paper highlights that while there is generally a high level of misalignment between an enterprise’s knowledge and the KMSs adopted, there are also a broad variety of behaviours. The paper identifies a taxonomy able to bring together the various types of behaviour associated with how an enterprise’s knowledge is related to KMS selection. Specifically, four behaviour patterns were identified, and the enterprises were then categorised accordingly as being guideposts, practice laggards, tool laggards or latecomers.

The proposed taxonomy provides an operational tool that can be used by enterprises and policy makers alike. The paper shows how enterprises can use this tool to understand which category they belong to and support decision-making to introduce changes leading to improved levels of alignment. Policy makers, on the other hand, can use the proposed taxonomy to identify measures to support the competitiveness of local systems by improving management processes and knowledge sharing among enterprises.

The paper highlights the difficulties that SMEs experience in adopting KMSs that are truly aligned with their knowledge and proposes a methodology to improve alignment.

The main objective of this paper is to explore the role of knowledge architecture in an enterprise and to provide a model to architect enterprise knowledge based on the Zachman framework.

This is a conceptual article providing a knowledge architecture model for an organization based on the Zachman framework that discussed several perspectives from the knowledge management point of view and information technology. To confirm the validity of the model a questionnaire was designed, applied and then analyzed by some statistical methods.

The paper provides a conceptual knowledge architecture model that can be applied to Iranian organizations practically. The validity of this model is confirmed by polling the opinion of knowledge architecture experts.

The lack of resources directly related to the subject of the research, the novelty of this kind of research in Iran and the lack of organizations which perform a knowledge architecture model in reality are the restrictions of this research. The authors' suggestion for further research studies is to execute the model and survey from foreigner experts.

The paper may be beneficial for enterprise architects in the knowledge area.

The paper may be of high value to researchers in the knowledge management field and to practitioners involved with KM adoption in the organizations. It gives valuable information and guidelines that hopefully will help the leaders and the senior knowledge management managers to accomplish KM through their organization successfully.

This paper aims to assess the contribution of competitiveness factors in how small and medium-size enterprises (SMEs) would access competitive advantage (CA) by focussing on industry structure and devise a conceptual model thereof.

The enterprises from three industries consisting of knowledge-based, single-use medical device producers and construction stone cutting each with different structures were assessed. The method is qualitative and quantitative where grounded theory and exploratory factor analysis (EFA) are applied. The initial survey involves 36 deep semi-structured interviews with some of the top managers of each of the three selected industries and a questionnaire distributed among 158 individuals with 46 structured questions.

The findings indicate that the micro-competitiveness factors are more contributive in achieving CA than macro factors as follows: in knowledge-based enterprises, customer relationship management (CRM), goods/services features and knowledge management are the most important variables. As to single-use medical device production industry, the sales force, sales promotion, and CRM are the most effective factors. Regarding construction stone-cutting industry, quality of the stone, sales promotion, and advertisement play the same role. The results of the EFA indicate that the three impressive factors, including capabilities of the enterprises, strategies of the enterprises and macro factors, are the extracted factors.

The findings here would assist SMEs’ managers in identifying the most essential factors in accessing CA.

The innovation of this study is that although there exist many studies on SMEs and their CAs, this study seeks the models of CA among SMEs in industries with different structures.

Aims to provide a strategic perspective for professionals and practitioners to better understand necessary elements are for building a successful knowledge capital and to demonstrate how holding conversations with key leadership evokes viewpoints and relevant information to take into account. The paper maps out a strategic perspective of the major elements of a knowledge capital and then integrates a series of conversational interviews with regional leaders who have backgrounds in policy, journalism, and technology. The conceptual scope of the paper dealt with mapping out essential principals and practices for the creation of knowledge capitals in general. The particular focus of the paper was on the Greater Phoenix region and the specific efforts underway there to transition into becoming a knowledge capital. The results are an integrated approach delineating the necessary perspective for developing a knowledge capital and a set of views from significant leadership of a region on what its problems are in becoming a knowledge capital and what can be done to achieve that status. The paper finds that there tends to be a split between those people interested in developing and implementing a strategy for knowledge capitals and those concerned with the transforming existing organizations to become knowledge‐based enterprises. The broader reality is that both efforts need to be co‐joint and co‐equal if a region is to become a true knowledge capital over time.

An enterprise social network (ESN) is part of the landscape of information reform by enterprises, using Web 2.0. In terms of the marketing targets of typical Web 2.0 techniques, enterprise knowledge sharing in Web 2.0 can be classified into different types (individual interaction type, group interaction type, social interaction type, real‐time interaction type and delay interaction type). The purpose of this paper is to summarize the features and modes of different enterprises' knowledge sharing and study enterprise knowledge sharing quantitatively from an ESN perspective by selecting real‐time interaction type as the case.

Because of the area of research, the authors supplemented social network analysis (SNA) with a mathematical modeling method and additional in‐depth interviews.

The Web 2.0 era provides the opportunity to quantify knowledge sharing. Also, SNA can quantitatively and visually diagnose the knowledge sharing status of the enterprise and guide the enterprise's knowledge‐sharing process.

Only a case study regarding real‐time interaction type is presented; other types of interaction are not studied empirically.

SNA, combined with a mathematical modeling method and additional in‐depth interviews with team leaders or key managers in organizations, can diagnose quantitatively, visually and comprehensively the knowledge‐sharing status of the enterprise.

This paper systematically summarizes the features and modes of Web 2.0 enterprise knowledge sharing, and the multiple‐method research design represents a sound approach to targeting enterprise knowledge sharing.

This paper proposes a logical starting point to valuing knowledge within the context of the business enterprise.

The methodology or approach to knowledge valuation is derived from empirical research based on a framework of intangible valuation areas (FIVA). The key valuation components of FIVA are used as the basis for the evolution of an enterprise knowledge valuation system (KVS).

The findings of the paper are that, fundamental to implementing a KVS is the leveraging of the current enterprise environment, to uncover the intelligence that currently exists so as to make decisions and act on those decisions. This paper presents the first layer of a conceptual model that supports the development of a KVS that leverages the current enterprise environment and integrates existing systems development methods and techniques in its approach to KVS creation and implementation.

The conceptual model – KVS Building Blocks – integrates fundamental types of models with each other to provide a holistic approach to implementing knowledge valuation in an enterprise environment. The first block in the KVS Building Blocks establishes a journey to identifying the data and information enterprise stakeholders need represented in a language they understand, to build a foundation that supports the capability of enterprise stakeholders to value knowledge within their enterprise.