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1 – 10 of over 199000Min-Ren Yan, Lin-Ya Hong and Kim Warren
This paper proposes an integrated knowledge visualization and digital twin system for supporting strategic management decisions. The concepts and applications of strategic…
Abstract
Purpose
This paper proposes an integrated knowledge visualization and digital twin system for supporting strategic management decisions. The concepts and applications of strategic architecture have been illustrated with a concrete real-world case study and decision rules of using the strategic digital twin management decision system (SDMDS) as a more visualized, adaptive and effective model for decision-making.
Design/methodology/approach
This paper integrates the concepts of mental and computer models and examines a real case's business operations by applying system dynamics modelling and digital technologies. The enterprise digital twin system with displaying real-world data and simulations for future scenarios demonstrates an improved process of strategic decision-making in the digital age.
Findings
The findings reveal that data analytics and the visualized enterprise digital twin system offer better practices for strategic management decisions in the dynamic and constantly changing business world by providing a constant and frequent adjustment on every decision that affects how the business performs over both operational and strategic timescales.
Originality/value
In the digital age and dynamic business environment, the proposed strategic architecture and managerial digital twin system converts the existing conceptual models into an advanced operational model. It can facilitate the development of knowledge visualization and become a more adaptive and effective model for supporting real-time management decision-making by dealing with the complicated dependence of constant flow of data input, output and the feedback loop across business units and boundaries.
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Surendra Sarnikar and Amit V. Deokar
This paper presents a design approach for process-based knowledge management (PKM) systems that can support knowledge-intensive processes where effective task execution is highly…
Abstract
Purpose
This paper presents a design approach for process-based knowledge management (PKM) systems that can support knowledge-intensive processes where effective task execution is highly reliant on the knowledge and expertise of participants executing the tasks. The proposed design approach includes design methods and kernel theories governing the design of PKM systems and can also be easily integrated with existing systems analysis and design techniques.
Design/methodology/approach
The design science research methodology is used to design and develop the artifact which includes the overall PKM design approach. Information systems design theory is used as a high-level framework to develop and structure the design approach. Relevant design methods and behavioral theories are reviewed to identify kernel theories that guide the design and development of PKM systems. The design approach consists of meta-requirements for PKM systems and design processes to achieve the meta-requirements. A feasibility study is conducted to evaluate the feasibility of the proposed approach.
Findings
The design approach presented in this paper can guide system analysts and system developers in the design of knowledge management systems for supporting knowledge-intensive processes. The paper also includes a comprehensive design theory for PKM systems consisting of meta-requirements and a synthesis of various kernel theories into actionable design procedures. The proposed procedures include knowledge requirements modeling, knowledge flows modeling and knowledge and process performance modeling procedures. The feasibility study indicates that the PKM approach can be more useful and effective than solely using unified modeling language (UML)-based systems analysis and design techniques for the design of PKM systems.
Research limitations/implications
An implication to information systems design research is the feasibility of developing a specialized design approach that incorporates significant domain knowledge to solve complex information system design problems. An implication to practice is the significant potential to improve productivity and effectiveness of systems analysts and designers in developing PKM systems. A limitation is the small sample size of the feasibility study used to evaluate the ease of use and utility of the design approach.
Originality/value
The study makes a unique contribution by proposing a design approach that integrates business process and knowledge management considerations. The approach is particularly valuable because of the focus on integration with existing systems analysis and design techniques, thus allowing for easier adoption.
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Frada Burstein and Henry Linger
This paper examines the role of knowledge management and knowledge management systems for supporting knowledge work. In a work environment, knowledge is always situated in a…
Abstract
This paper examines the role of knowledge management and knowledge management systems for supporting knowledge work. In a work environment, knowledge is always situated in a specific context, so an organization benefits from a knowledge management system when such a system is focused on a specific task. Providing support for knowledge work at the task level complements the work practices of actors performing the task. The paper suggests that knowledge management systems can be implemented as intelligent decision support that establishes a joint cognitive process between the system and the actor performing the task. The proposed approach has been derived from our application of a knowledge management framework to a number of field studies. These applications come from various domains and highlight different aspects of the proposed framework. The focus on task performance, as a driving force for knowledge management, unifies these field studies. The paper identifies the issues that emerge from these studies and describes their contribution to the development of the framework. The paper concludes that by privileging knowledge work, task‐based knowledge management can be an effective knowledge management strategy.
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V. Venugopal and W. Baets
In the current global competitive environment, if an organizationis to be successful, it has to be a learning organization. Organizationslearn from their assertive and adaptive…
Abstract
In the current global competitive environment, if an organization is to be successful, it has to be a learning organization. Organizations learn from their assertive and adaptive interaction with the environment and from their internal dynamics. Organizational learning needs to be supported as external environments and internal dynamics of organizations become more complex. Discusses different learning processes and the different intelligent systems which can support and enhance organizational learning. Finally, presents a conceptual framework of an integrated intelligent system for supporting organizational learning. Intends to be useful to both organizational theorists/ practitioners and IT managers, who are involved in the development and implementation of learning organizations.
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The overall aim of this paper is to identify the human capital and organizational factors that facilitate knowledge supporting system to boost innovation in emerging markets. The…
Abstract
Purpose
The overall aim of this paper is to identify the human capital and organizational factors that facilitate knowledge supporting system to boost innovation in emerging markets. The innovative capability of organizations depends undoubtedly on how successful they are in the generation of knowledge, either via external acquisition or internal creation, and how organizational culture, management support and human capital factors are significant.
Design/methodology/approach
To validate this phenomenon, a quantitative explanatory study was designed. Data collection was carried out through a questionnaire completed by 211 respondent of firms located in Mexico. During data analysis, structural equation modeling was implemented with the support of SmartPLS 3.0 to understand the moderating role of organizational factors and human capital between knowledge support system and innovativeness.
Findings
The findings show that it is fundamental to build theories grounded in the particular realities of Latin American countries. For instance, these results suggest that there are two paths of innovation in Mexico in which organizational and human factors play key but differentiated roles. On the one hand, organizational culture, top management support, commitment and openness to innovation are essential to building and maintaining a knowledge support system that enables innovation. Additionally, promoting people-oriented organizations is key to innovation. Human capital factors, such as collaborators' motivation, professional skills and the opportunity to learn, intensify the knowledge support system and innovative capability.
Research limitations/implications
The main limitations of the study are that only Mexican firms have been analyzed, and it is not possible to generalize the results to other contexts. Additionally, we have not identified whether the organizations that participated in the study originated in Mexico or are global enterprises that operate in Mexico. It could be significant to analyze whether multinationals from other countries that are operating in Mexico are more committed to learning to innovate than Mexican firms and the differences in their knowledge generation activities.
Practical implications
The results of this study invite: (1) Managers to develop strategic initiatives that systematically promote knowledge generation activities identifying external and internal activities that allow them to build and maintain a knowledge support system, (2) Organizations to promote collaborative spaces in which employees can work in teams and strengthen their social ties, identifying communication physical and virtual spaces to share new ideas, seek new ways of doing things, and explore new processes and activities. This process will be significant in a culture where resistance to change predefines how knowledge translates into innovation.
Social implications
The improvement of collaborators skills must be accompanied by other policies to enhance the innovation and business environment including the modernization and expansion of infrastructure. It is fundamental that governments firms and universities jointly develop a research agenda that will lead to the identification of significant issues and the effectiveness of solutions to foster innovation in Mexico. Only a holistic approach is likely to help the country move up the value chain and become a knowledge economy. In fact innovation is seen as a social process of public sector organizations that promote knowledge infrastructure such as universities and the government agencies that produce knowledge.
Originality/value
These results suggest that there are two paths of innovation in Mexico in which organizational and human factors play a key but differentiated role. In Mexican firms, innovative capability is possible due to knowledge support systems built on organizational factors, and human capital factors, such as professional skills and motivation for opportunities to learn which intensify innovation.
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Anita Caduff, Marie Lockton, Alan J. Daly and Martin Rehm
The study analyzes how equity-focused knowledge brokers, working at different levels of the US education system, understand and discuss capacity building in education systems…
Abstract
Purpose
The study analyzes how equity-focused knowledge brokers, working at different levels of the US education system, understand and discuss capacity building in education systems, such as schools, districts, state and local education agencies, to answer this research question: How do equity-focused knowledge brokers support capacity building in education systems?
Design/methodology/approach
Semi-structured interviews were conducted with five well-known equity-focused organizations that broker evidence-based knowledge and resources to educational systems, practitioners and policymakers. The research team members qualitatively analyzed 18 h of recordings, using their co-developed codebook based on the research questions and prior research on knowledge mobilization.
Findings
Four strategies to build capacity within the educational systems were identified. Pursuing sustainable educational change, brokering organizations built capacity with context-specific strategies: (1) engaging various roles within educational systems, (2) fostering communities and partnerships, (3) supporting educators and policymakers’ agency and efficacy and (4) creating a wider culture of external support beyond the systems themselves.
Originality/value
This study shows how knowledge brokers employed context-specific strategies targeting whole systems instead of individuals to ensure that the organization and individuals within had the mindsets, capability, and conditions to engage with and adapt the brokered knowledge and resources. Findings build on existing literature showing how knowledge brokers build capacity through well-known approaches, such as workshops/training, online tutorials and other online resources.
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Yuan Fu Qiu, Yoon Ping Chui and Martin G. Helander
The purpose of this research is to aim to improve the cognitive understanding of knowledge processing and provide a cognitive knowledge modeling method in product design.
Abstract
Purpose
The purpose of this research is to aim to improve the cognitive understanding of knowledge processing and provide a cognitive knowledge modeling method in product design.
Design/methodology/approach
In this paper, a cognitive model of knowledge processing is described. A cognitive knowledge modeling method is presented. Suggestions on cognitive support for knowledge based systems are provided.
Findings
There is often a fundamental mismatch between the way human process knowledge and the way it is processed by technology for supporting product design. It is necessary to develop tools, methods and technology which integrate seamlessly with the design process. This study focuses on the internal human activities and explores knowledge management research from a human factors perspective. Cognitive knowledge modeling will result in a natural integration of knowledge‐based systems into the design process.
Research limitations/implications
This study uses an experimental approach and hopefully the research can therefore be generalized to other situations.
Practical implications
This study provides guidelines for cognitive support for knowledge‐based systems.
Originality/value
Cognitive knowledge processing is described and a cognitive knowledge modeling method is presented. The paper explores knowledge management research by analyzing human activities, in combination with the study of management and engineering technologies.
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Nan Zhao, Fei J. Ying and John Tookey
In the construction sector, the knowledge-based process outgrows its emphasis on technological aspects. Yet, there is a lack of applied studies showing how a procurement system…
Abstract
Purpose
In the construction sector, the knowledge-based process outgrows its emphasis on technological aspects. Yet, there is a lack of applied studies showing how a procurement system (PS) could be selected in the digital age. In particular, there is a radical need to establish an innovative process to visualise novel PS decision. Therefore, this paper aims to present a knowledge visualised framework for aiding construction PS decision-making.
Design/methodology/approach
This paper describes the construction of process innovation. The framework (process) is supported by four influential decision supporting methods (mean utility values, analytic hierarchy process, fuzzy set theory and Delphi method) and computer programming (Matlab).
Findings
There are four stages of this framework: (1) uniform rating for decision alternatives; (2) group decision for determining the decision attribute; (3) determining the final choice; (4) reporting the cognitive computing process. Supported by individual and groups decision dynamics, this framework emphasises how the dashboard aided innovative approach enables the induction of understanding, cognitive computing for decision-making and how the information would precisely be represented, which are vital requirements of modern construction.
Originality/value
The contribution of this paper presents two leverage points that support the modern PS decision. Firstly, this paper provides a holistic view of the decision supporting methods on the basis of how a suitable PS would be systematically sought. Based on the existing studies, this paper upgrades into a visualised knowledge decision supporting process. It helps the participants understand and improve their cognitive learning. Secondly, this framework allows the participants to have a view of the individual and group decisions. It sheds light on the development of the collaborative decision-making process.
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Nikos Karacapilidis, Euripides Loukis and Stavros Dimopoulos
This paper investigates whether and how G2G collaboration for policy and decision‐making can be effectively supported by an appropriately developed information system.
Abstract
Purpose
This paper investigates whether and how G2G collaboration for policy and decision‐making can be effectively supported by an appropriately developed information system.
Design/methodology/approach
The research method adopted in this paper follows the “Design Science Paradigm”, which has been extensively used in information systems research.
Findings
As resulted from the case study described in this paper, the proposed system has significant potential for supporting G2G collaboration for policy and decision‐making. It can support the collaborative understanding of social problems and needs, and the development of alternative actions or solutions for them. In addition, it can support the collaborative development of detailed action plans for the selected alternative(s). During the implementation of these actions, the system can be used for the collaborative monitoring of them, the identification of implementation problems and issues, and the development of alternatives for managing them. Finally, it can be also used for the collaborative evaluation of these actions by the involved public organizations, as well as the citizens and groups who are their recipients.
Practical implications
Enhanced public policy and decision‐making through the use of the proposed web‐based system.
Originality/value
The main contribution of this paper lies in the development of a web‐based system for supporting the G2G collaboration required for public policy and decision‐making in the public administration, as well as the creation, leveraging and utilization of the relevant knowledge. The proposed system allows for distributed, synchronous or asynchronous, G2G collaboration and aims at aiding the involved public organizations by providing them a series of argumentation, decision‐making and knowledge management features.
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The purpose of this paper is to understand from the knowledge management perspective how the mechanism of different voluntary compliance behaviors works and how information…
Abstract
Purpose
The purpose of this paper is to understand from the knowledge management perspective how the mechanism of different voluntary compliance behaviors works and how information technology is used for compliance management in corporate settings where privacy and security issues are getting critical due to the advancement of big data and artificial intelligence.
Design/methodology/approach
In this study, the authors propose a structural model based on the theory of planned behavior and the IT relatedness theory that behavioral belief about compliance and social pressure affect compliance knowledge and compliance intention, and compliance knowledge partially mediates the impact of both independent variables on compliance intention. The authors surveyed with a structured questionnaire 975 employees of a major Korean energy company, S-OIL, which deploys a compliance support system. The respondents are classified into two groups: an Active IT Utilization Group and a Passive IT Utilization Group.
Findings
The results of our empirical examination show that compliance intention belief and social pressure influence compliance intention, and further, that compliance behavior is mediated by compliance knowledge – in both the active IT utilization group and the passive IT utilization group. However, the significance of each path coefficient, R square and the mediation effect in Model 1 (passive IT utilization group) are obviously a poor contrast to Model 2 (active IT utilization group). Also, the path from behavioral belief to compliance knowledge and social pressure to compliance knowledge show a significant moderating effect of IT utilization level.
Originality/value
This paper aims to promote more effective voluntary compliance behavior by increasing the understanding of the impact differences of the preceding factors, and the ways in which those are related to the knowledge management practice in terms of both knowledge itself and its support systems, i.e. compliance support system.
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