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The strategic management literature emphasizes the concept of business intelligence (BI) as an essential competitive tool. Yet the sustainability of the firms’ competitive advantage provided by BI capability is not well researched. To fill this gap, this study attempts to develop a model for successful BI deployment and empirically examines the association between BI deployment and sustainable competitive advantage. Taking the telecommunications industry in Malaysia as a case example, the research particularly focuses on the influencing perceptions held by telecommunications decision makers and executives on factors that impact successful BI deployment. The research further investigates the relationship between successful BI deployment and sustainable competitive advantage of the telecommunications organizations. Another important aim of this study is to determine the effect of moderating factors such as organization culture, business strategy, and use of BI tools on BI deployment and the sustainability of firm’s competitive advantage.

This research uses combination of resource-based theory and diffusion of innovation (DOI) theory to examine BI success and its relationship with firm’s sustainability. The research adopts the positivist paradigm and a two-phase sequential mixed method consisting of qualitative and quantitative approaches are employed. A tentative research model is developed first based on extensive literature review. The chapter presents a qualitative field study to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. The study includes a survey study with sample of business analysts and decision makers in telecommunications firms and is analyzed by partial least square-based structural equation modeling.

The findings reveal that some internal resources of the organizations such as BI governance and the perceptions of BI’s characteristics influence the successful deployment of BI. Organizations that practice good BI governance with strong moral and financial support from upper management have an opportunity to realize the dream of having successful BI initiatives in place. The scope of BI governance includes providing sufficient support and commitment in BI funding and implementation, laying out proper BI infrastructure and staffing and establishing a corporate-wide policy and procedures regarding BI. The perceptions about the characteristics of BI such as its relative advantage, complexity, compatibility, and observability are also significant in ensuring BI success. The most important results of this study indicated that with BI successfully deployed, executives would use the knowledge provided for their necessary actions in sustaining the organizations’ competitive advantage in terms of economics, social, and environmental issues.

This study contributes significantly to the existing literature that will assist future BI researchers especially in achieving sustainable competitive advantage. In particular, the model will help practitioners to consider the resources that they are likely to consider when deploying BI. Finally, the applications of this study can be extended through further adaptation in other industries and various geographic contexts.

Decision making in Flexible Manufacturing Systems (FMS) is difficult because of their high complexity level. The operational level of FMS is concerned with the detailed decision making required for real‐time operation. This applies to various control problems such as selection of a transportation path to move parts between stations. Describes a prototype knowledge‐based system for selection of a transport path in real‐time control of FMS. The knowledge‐based system is evaluated with an empirical approach.

Study on knowledge-based systems for scientific publications is growing very broadly. However, most of these studies do not explicitly discuss the knowledge management (KM) component as knowledge management system (KMS) implementation. This background causes academic institutions to face challenges in developing KMS to support scholarly publication cycle (SPC). Therefore, this study aims to develop a new KMS conceptual model, Identify critical components and provide research gap opportunities for future KM studies on SPC.

This study used a systematic literature review (SLR) method with the procedure from Kitchenham et al. Then, the SLR results are compiled into a conceptual model design based on a framework on KM foundations and KM solutions. Finally, the model design was validated through interviews with related field experts.

The KMS for SPC focuses on the discovery, sharing and application of knowledge. The majority of KMS use recommendation systems technology with content-based filtering and collaborative filtering personalization approaches. The characteristics data used in KMS for SPC are structured and unstructured. Metadata and article abstracts are considered sufficiently representative of the entire article content to be used as a search tool and can provide recommendations. The KMS model for SPC has layers of KM infrastructure, processes, systems, strategies, outputs and outcomes.

This study has limitations in discussing tacit knowledge. In contrast, tacit knowledge for SPC is essential for scientific publication performance. The tacit knowledge includes experience in searching, writing, submitting, publishing and disseminating scientific publications. Tacit knowledge plays a vital role in the development of knowledge sharing system (KSS) and KCS. Therefore, KSS and KCS for SPC are still very challenging to be researched in the future. KMS opportunities that might be developed further are lessons learned databases and interactive forums that capture tacit knowledge about SPC. Future work potential could identify other types of KMS in academia and focus more on SPC.

This study proposes a novel comprehensive KMS model to support scientific publication performance. This model has a critical path as a KMS implementation solution for SPC. This model proposes and recommends appropriate components for SPC requirements (KM processes, technology, methods/techniques and data). This study also proposes novel research gaps as KMS research opportunities for SPC in the future.

Because the discontinuous and uncertain characteristics of knowledge-based innovation cannot be reasonably interpreted by conventional management approaches, quantum mechanics which begins with uncertainty and concerns with a dynamic process of the complex system, has been exploratorily used in the management field. Although the theoretical new insights are provided by pioneering studies, quantitative research is in short supply. This paper aims to propose a quantum mechanics-based framework for quantitative research, thus extending the application of quantum mechanics in the knowledge management area from a dynamic system evolutionary standpoint.

Based on the similarity comparison between knowledge-based system evolution and atomic motion, the authors construct the atom-like structure of the knowledge-based system and elaborate the evolutionary mechanism of the knowledge-based system, thereby establishing the quantitative model. Apple and Zhongxing Telecom Equipment were selected for an empirical study to demonstrate the usefulness of the models for research on knowledge-based innovation and explore the unique knowledge-based innovation characteristics of the two firms.

First, the transition force of dynamic knowledge shows an inverted U shape; accumulating dynamic knowledge to a moderate degree not only facilitates transforming dynamic knowledge into static knowledge but also balances the relationship between the influence of knowledge force range and dynamic knowledge transformation. Second, existing knowledge is gradually substituted by new knowledge and knowledge density at a high knowledge energy level distinctly increases with a narrower bandwidth. Third, the investment loss is associated with resource configuration, resource utilization and the amount of accumulative dynamic knowledge before investment. Knowledge loss is negatively correlated with the knowledge compatibility coefficient.

The authors use the advanced method in quantum mechanics to legitimately unveil the emergence mechanism of knowledge-based innovation. Meanwhile, the authors capture the non-linear transformation relationship of heterogeneous knowledge and expose the change in ways of both investment loss and knowledge loss that cannot be quantified by conventional models. In doing so, the authors not only reveal the principle of qualitative knowledge change but also offer practical implications for developing flexible and targeted innovation strategies.

First, by proposing a complete quantum mechanics-based framework, the authors not only supplement the quantitative research contents to knowledge-based innovation literature which proposed calls to conduct research in way of quantum mechanics but also overcome the difficulties of knowledge-based system conceptualization and measurement. Second, the authors reveal the uncertain change of knowledge transformation and measure the loss of investment and knowledge, which contribute to identifying defects of firms in knowledge-based innovation. Third, the authors explore the internal mechanism that led to knowledge-based innovation exhibits non-linear characteristics and capture unique dynamic relationships between different variables which affect the emergence of knowledge-based innovation.

Achieving natural interactions by means of vision and speech between humans and robots is one of the major goals that many researchers are working on. This paper aims to describe a gesture‐based human‐robot interaction (HRI) system using a knowledge‐based software platform.

A frame‐based knowledge model is defined for the gesture interpretation and HRI. In this knowledge model, necessary frames are defined for the known users, robots, poses, gestures and robot behaviors. First, the system identifies the user using the eigenface method. Then, face and hand poses are segmented from the camera frame buffer using the person's specific skin color information and classified by the subspace method.

The system is capable of recognizing static gestures comprised of the face and hand poses, and dynamic gestures of face in motion. The system combines computer vision and knowledge‐based approaches in order to improve the adaptability to different people.

Provides information on an experimental HRI system that has been implemented in the frame‐based software platform for agent and knowledge management using the AIBO entertainment robot, and this has been demonstrated to be useful and efficient within a limited situation.

Web based knowledge management systems have opened new arrays in the present web based world. Because of innumerable features, they have become the first hand choice of every organization. The objective of this paper is to propose a web based knowledge management system for university libraries that will support the creation, organization, storage, dissemination and utilization of the institution's digital knowledge assets. The paper also aims to illustrate the requirements of a web based knowledge management system (WBKMS) for university libraries along with their key advantages.

Existing web based knowledge management systems were surveyed and a model framework was developed keeping in view the prevailing loopholes in the present systems.

The study evolves into a model web based knowledge management system catering for the needs of the users in the present bit and byte world.

Further research can be conducted into designing web based knowledge management systems keeping in view the needs and behavior of the users they serve. Deep log analysis of the academically endeavored web based systems can be carried out for working out a better and productive WBKMS.

The outcome of the research will improve staff professionalism and will help in achieving coordination with other libraries and library users. Knowledge innovation in a web‐based environment will help in the creation of better and enlightened knowledge based society.

The technologies discussed will help in achieving satisfaction levels both on the part of users as well as library professionals. The whole behavior of seeking information and knowledge will change because of generation, sharing and management of information and knowledge in a virtual mode. Such systems will help organizations strategically when their branches are located in different geographical locations and this will give a platform to the members/employees to share best practices, problems, customer interactions, and prevent reinvention of the wheel.

This paper presents a hybrid artificial intelligence (AI) system capable of integrating techniques of case‐based reasoning, rule induction and expert system, using them for knowledge acquisition and problem solving of selecting appropriate retaining wall systems at the project planning stage. The proposed hybrid system can eliminate the bottleneck of knowledge acquisition in developing a knowledge‐based system and improve the solution quality of the AI‐based system. Test results indicate that solutions generated by the proposed hybrid system are better than those generated by using a single technique.

The application of information technology (IT) to corporate environments is now widespread. Recent years have seen IT successfully applied to a wide range of corporate activities. Artificial intelligence, in the guise of knowledge‐based systems is on the point of delivering its long awaited potential. With many successful systems developed over the past three or four years, the time is now ripe for the corporation to develop a coherent strategy to investigate and exploit this technology. In this, the second of two articles looking at knowledge‐based systems, we examine how the corporation can exploit this technology for strategic and competitive advantage. It discusses the organisational implications of KBS as well as the impact and pay‐off that can be expected.

Knowledge‐based systems, especially so‐called expert systems, which replicate the problem‐solving or decision‐making capabilities of human experts in specific areas, have recently gained considerable widespread interest. The advent of such systems emphasizes the critical role of employee competence, skills, knowledge and experience in an organization. This paper presents the salient features of knowledge‐based computing systems in modern office environments. In particular, I consider topics related to critiquing consultation systems and the possibilities of re‐using knowledge bases for training. The paper also discusses possible consequences, benefits, problems and other important issues in the area.

Purpose – The purpose of this paper is to provide a measurement system of knowledge‐based assets for graduate students, researchers and practitioners which can help them enhance their understanding of valuation issues. Design/methodology/approach – Three types of validity are reported to be relevant for the purposes of understanding knowledge‐based assets information systems: criterion validity – establishment of a statistical relationship with a knowledge‐based information system and productivity; content validity – representation of a specified universe of contents in the knowledge‐based information system; construct validity – measurement of knowledge. Findings – A framework is provided that helps explain why measurement is important in deciding characteristics such as information value, cost, reliability, validity, and bias (random and non‐random error) which is germane to the development of an efficient and effective knowledge‐based assets information system. Practical implications – The paper is a very useful source of information for graduate students, researchers and practitioners involved with testing, designing, valuing and/or implementing a knowledge‐based information system. Originality/value – A measurement model is presented that may spark future models that can be implemented, tested and translated into actions in various organizational settings.