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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.

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.

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.

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.

The purpose of this study is to discuss how organizations can drive organizational performance through human capital (HC) investment through systematic thinking.

This study analyzes three companies from various industries, adopts systems thinking and uses three leading indicators from the balanced scorecard framework to explore the effects of strategic orientations for HC on innovation ecosystems and organizational performance.

In terms of academic contributions, this study broadly verifies the innovation ecosystem model for organizations and reveals that customer-oriented, internal process-oriented and innovation learning-oriented HC strategies reinforce the pathways in organizational innovation ecosystems, thereby enriching the literature on innovation ecosystems.

In terms of practical contributions, this study provides a novel HC-based perspective on developmental dynamics and details the relationships among each aspect of the innovation ecosystem and HC strategies.

The proposed architecture and strategic frameworks provide a reference for corporations to implement strategic orientations of HC, drive operations in organizational innovation ecosystems and improve organizational performance.

This study aims to examine the key determinants of word-of-mouth intentions among freshmen in a Taiwanese college. It investigates the causal relationships among different indicators of organizational sustainable development.

An empirical study is conducted on a sample of 3,159 college freshmen. A survey instrument with 41 measurement items are used to recognize the implementation of management practices at the college level. Descriptive statistical and multiple regression analyzes are performed to analyze the data, using SPSS software.

The results show that course identity, professional identity toward teachers, self-identity, learning attitude and satisfaction have a positive and significant impact on word-of-mouth intentions. Among these, satisfaction is the most crucial influencing factor. Colleges, particularly Taiwanese colleges competing in the field of higher education, must identify critical factors influencing the implementation of management practices to increase performance.

This study’s findings make a valuable contribution to understanding management practices in Taiwanese colleges. In addition, they serve as important guidelines for Taiwanese colleges to implement management practices effectively. The findings can also help improve organizational sustainable development, in view of the new insights they offer on the topic of the determinants of word-of-mouth intentions among Taiwanese college freshmen.

This study contributes to management practices in Taiwan-based colleges. It provides crucial information for decision-makers involved in the implementation of management practices in colleges and serves as a useful reference for further research in this area.

The purpose of this study is to integrate modern decision sciences and develop a dynamic risk management model for international alliance engineering design projects.

To apply the model to real-world risk assessment and managerial decision-making, a mega project case study was conducted. System dynamics and computer simulations were used for improving quantitative analyses and scenario planning.

Based on the consideration and analyses of different cooperation risk factors, ripple effects of design error is found to be the key factor of subcontract management in international alliance projects in this study.

This study provides a rationale for dynamic risk management decisions and enables international alliance companies to systematically control the cooperation risks in the execution of projects.

In the dynamic project management process, a significant increase in the design error rate does not unilaterally occur but is caused by subcontract and other management errors as a system problem. Integrative solutions with systems thinking would help the management.

This study proposed a framework of measuring project performance and dynamic risk management. The benchmarked case study demonstrates the capability of the proposed model for the feedback learning of business lessons and knowledge accumulations.

The purpose of this paper is to identify the factors influencing bargaining decisions and systematically develop a framework to support collaborative innovation within a strategic alliance. This framework can help companies resolve bargaining problems and facilitate cooperation and effective negotiation of strategic alliances to build successful business relationships.

The study considers Taiwanese agents’ bargaining power during negotiations with suppliers, using decision analysis to identify the variables affecting judgment. It uses Delphi–AHP methods to evaluate and develop a multi-criteria model explaining the critical factors to increase agents’ bargaining power and collaborative capability in the negotiation process.

Two significant differences between supply chain management practices and managerial specialty are found. Results suggest that better supply chain management practices of agents could assist suppliers in reducing their stock and processing delivery costs, and suppliers could offer more of their marketing planning and strategies to agents to increase confidence in each other’s products.

It is hoped that this study will encourage more academics in the supply chain management field to investigate the extent to which other bargaining considerations act as facilitating or constraining factors in other Asian and non-Asian economies and other industries.

This study focuses on collaborative thinking and cooperation to develop and improve positive and relational outcomes in agent–supplier relationships.

The study analyzed the bargaining power of agents and collaborative innovation in the semiconductor industry from three major perspectives: professional competence, managerial competence and channel efficiency. The study provides effective suggestions for enhancing profits in agency-based cooperation.

The purpose of this study is to investigate the effect of catalyst distribution in the combustion catalytic layer on heat and mass transport characteristics of the auto-thermal methanol steam reforming microchannel reactor.

Computational fluid dynamics (CFD) method is used to study four different gradient designs. The corresponding distributions of temperature, species and chemical reaction rate are provided and compared.

The distributions of species, temperature and chemical reaction rate are significantly affected by the catalyst distribution in the combustion catalytic layer. A more uniform temperature distribution can be observed when the gradient design is used. Meanwhile, the methanol conversion rate is also improved.

This work reveals the effect of catalyst distribution in the combustion catalytic layer on heat and mass transport characteristics of the auto-thermal methanol steam reforming microchannel reactor and provides guidance for the design of reactors.

The temperature uniformity and hydrogen production performance can be improved by the gradient design in the combustion catalytic layer.

The purpose of this study is to discuss how organizations can drive organizational performance through human capital (HC) investment through systematic thinking.

This study analyzes three companies from various industries, adopts systems thinking and uses three leading indicators from the balanced scorecard framework to explore the effects of strategic orientations for HC on innovation ecosystems and organizational performance.

In terms of academic contributions, this study broadly verifies the innovation ecosystem model for organizations and reveals that customer-oriented, internal process-oriented and innovation learning-oriented HC strategies reinforce the pathways in organizational innovation ecosystems, thereby enriching the literature on innovation ecosystems.

In terms of practical contributions, this study provides a novel HC-based perspective on developmental dynamics and details the relationships among each aspect of the innovation ecosystem and HC strategies.

The proposed architecture and strategic frameworks provide a reference for corporations to implement strategic orientations of HC, drive operations in organizational innovation ecosystems and improve organizational performance.

Based on social exchange theory and the substitutes for leadership theory, this paper aims to investigate whether an organization’s high-commitment HRM strategy can substitute for the effect of servant leadership in promoting employees’ affective commitment, psychological empowerment and intent to remain with the organization.

This study’s hypotheses were tested with moderation and mediation analyses conducted on a sample of 172 Chinese employees.

The results show significant negative interaction effects between high-commitment HRM systems and servant leadership, such that high levels of one will reduce the positive effect of the other on affective commitment and psychological empowerment. Further, the effects of high-commitment HRM systems and servant leadership on turnover intentions are mediated through affective commitment and psychological empowerment. Finally, support was found for a mediated moderation model where the negative interaction effect between high-commitment HRM systems and servant leadership on turnover intentions is mediated through affective commitment.

The results of this study can help practitioners identify alternative means to influence employees’ positive attitudes and work motivation when implementing high-commitment HRM systems is not feasible for the organization.

This study contributes to the leadership literature by providing evidence supporting the substitutes for leadership theory and describing the specific conditions under which this theory is valid, as well as contributing to the HRM literature by examining the dynamic interaction of HRM and leadership.

The purpose of this paper is to investigate physiological indices related to comfort and health condition, based on which corresponding electronic equipment are selected and applied. A wearable monitoring system using sensor and liquid crystal display (LCD) techniques are then designed. Sensors are used to collect and transmit recording required signals from the wearer. A microcomputer with the type of AT89C52 is used to record and analyze the collected data. LCD is applied to display the health and comfort condition of the wearer.

A novel wearable monitoring system for the measurement of physiological indices and clothing microclimate is proposed in this study in order to monitoring both health and comfort condition of the wearer.

The proposed system provides reference for the application of sensor and display technologies in the field of smart clothing, which can be further applied to infant and child care, health care, home entertainment, military and industry.

This paper, first, investigated a framework of a wearable monitoring system considering both comfort and health condition and summarized the related physiological indices. The requirements of both comfort and health condition monitoring are analyzed to select appropriate electronic elements.