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The potential of the purchasing function to increase shareholder value is not well publicized and hence not widely recognized. This fact becomes self‐evident when the effect of purchasing strategies on performance is well understood. With an increasing number of organizations embracing long‐term oriented collaborative relationships, studies looking at performance implications of contemporary purchasing practices are particularly timely. Attempts to provide empirical evidence linking four purchasing strategies to two dimensions of procurement performance: effectiveness and efficiency. Results indicate that purchasing managers can enhance the effectiveness and efficiency of their purchasing efforts via cooperative negotiation with a small base of suppliers and by establishing collaborative long‐term oriented relationships with them, revealing the impressive ability of the purchasing function to enhance shareholder‐value.

The antecedents and cost management methods and their effects on the value creation of inter-organization are essential topics of inter-organizational cost management (IOCM) in a hybrid relational perspective. This study aims to develop a synthesis coordinating mechanism theory which combines supply network theory and transaction cost economics. Using this modified theory, a structural model of IOCM and its hypotheses are developed by considering the organic connection among hybrid relational context, capabilities, methods and the effects of IOCM.

The data were collected under convenient sampling using the questionnaire survey method and analyzed using principal component analysis and structural equation modeling.

The results (significant at p < 0.01 and p < 0.05 level) show that there is a positive correlation among the hybrid relational context, capabilities (antecedents), methods and the effects of IOCM. Capabilities (antecedents) and cost management methods are also found to have a positive impact on synergic effect value and on improving collaborative efficiency in IOCM.

The managers of inter-firm networks may use the results of this study to ensure competitive advantages through collaboration with each other and building and retaining a long-term relationship.

This study demonstrates that the coordinating mechanism of IOCM can create the synergic effect value and improve the collaborative efficiency of the inter-organization relationship.

Drawing on the experience of the Observatories, a set of interconnected research centers in Italy, this chapter explains why academics are in one of the best positions to orchestrate interorganizational initiatives of change and development, and highlights two prerequisites that appear necessary to render salient this orchestrator role of academics: (i) the extensive use of multiple approaches of collaborative research and (ii) the creation and maintenance of a platform allowing the management and diffusion of the network-based learning mechanisms underlying each change and development effort. The contributions extend existing knowledge on organization development and collaborative research.

Automobile development needs more and more collaborative work involving geographical dispersed designers, that brings difficulty for model verification, conception review and assembly process evaluation, so a collaborative virtual environment for automobile based on network is required. In this kind of environment, designers can do interactive assembly operations collaboratively, such as grasp, move, release, collision detection (CD), assembly evaluation report generation, etc. Furthermore, automobile structure becomes more complicated, how to process this large real‐time data effectively in real‐time interactive virtual environment is a great challenge. The purpose of this paper is focus on this.

A distributed parallel virtual assembly environment (DPVAE) is developed. In this environment, the mechanism of event synchronization based on high‐level architecture/run‐time infrastructure) is applied to realize multi‐user collaboratively interactive operation. To meet the large data set real‐time processing demand, a creative parallel processing approach supported by a single supercomputer or a parallel processing environment composed of common personal computer in a high‐speed local area network is developed. The technologies such as real‐time CD, multiple interactive operation modals are applied in DPVAE and several auxiliary tools are provide to help achieving whole scheme review, component model verification and assembly evaluation.

This paper finds that DPVAE system is an available and efficient tool to support automobile collaborative assembly design.

Designers can discuss and verify the assembly scheme to realize the previous design scenario in DPVAE, so it is useful for reducing costs, improving quality and shortening the time to market, especially for new type automobile development.

A combination of distributed technology and parallel computing technology is applied in product virtual assembly, solving the problems including collaborative work of multi‐user and large data real‐time processing successfully, that provides a useful tool for automobile development.

Exploratory search activities are ubiquitous in various information systems. Much potentially useful or even serendipitous information is discovered during the exploratory search process. Given its irreplaceable role in information systems, exploratory search has attracted growing attention from the information system community. Since few studies have methodically reviewed current publications, researchers and practitioners are unable to take full advantage of existing achievements, which, in turn, limits their progress in this field. Through a literature review, this study aims to recapitulate important research topics of exploratory search in information systems, providing a research landscape of exploratory search.

Automatic and manual searches were performed on seven reputable databases to collect relevant literature published between January 2005 and July 2023. The literature pool contains 146 primary studies on exploratory search in information system research.

This study recapitulated five important topics of exploratory search, namely, conceptual frameworks, theoretical frameworks, influencing factors, design features and evaluation metrics. Moreover, this review revealed research gaps in current studies and proposed a knowledge framework and a research agenda for future studies.

This study has important implications for beginners to quickly get a snapshot of exploratory search studies, for researchers to re-align current research or discover new interesting issues, and for practitioners to design information systems that support exploratory search.

This study is aimed at making an inspection of the effects of collaborative innovation network characteristics on firm innovation performance, and the intermediary roles of knowledge transfer efficiency is taken into account.

This study used a convenient sampling method to obtain population and samples. Using data obtained by publishing online and paper questionnaires, and using on-site interviews in Anhui Province in the Yangtze River Delta region of China, descriptive analysis, regression analysis and correlation analysis are utilized to study the direct influence of collaborative innovation network characteristics on knowledge transfer efficiency as well as firm innovation performance, and the intermediary roles of knowledge transfer efficiency on firm innovation performance, respectively. In this study, 3,000 questionnaires were distributed to the employees of enterprises engaged in research and development (R&D) activities, of which 2,560 were valid. With the help of SPSS24.0 software, the reliability and validity of the questionnaire was analyzed.

The results are indicative of that network centrality and relationship strength positively affect knowledge transfer efficiency and firm innovation performance. Nevertheless, network scale has no significant correlation with knowledge transfer efficiency and enterprise innovation performance. In addition, knowledge transfer efficiency is an intermediary between collaborative innovation network characteristics and enterprise innovation performance, and positively affects enterprise innovation performance, which demonstrated that managers should take advantage of collaborative innovation network characteristics to elevate knowledge transfer efficiency because well-realized transferals of knowledge can help accelerate the coordination of resources in knowledge, and finally bring about the advancement of firm's innovation abilities and performance.

There are few previous studies that fully examined the relationships among collaborative innovation network characteristics, knowledge transfer efficiency and firm innovation performance. This paper developed previous researches on the relationships between collaborative innovation network characteristics, knowledge transfer efficiency and firm innovation performance. The mediation of knowledge transfer efficiency on the relationship between collaborative innovation network characteristics and firm innovation performance is analyzed. Further, studies on collaborative innovation network characteristics using data obtained from employees engaged in R&D activities are very limited in the literature. On account of that, the findings in this study may make sense to the innovation ability of innovative enterprise and expand the literature in the field of enterprise strategic management and knowledge management.

This analysis shows that collaborative innovation network characteristics have both positive and negative effects on firm innovation performance. Therefore, business managers should pay attention to their position in the collaborative innovation network and maintain the relationship strength with other innovation subjects. Special consideration should be given to the knowledge transfer of innovative enterprises, so as to improve firm innovation performance practically.

The study may provide additional understandings for researchers, government managers, universities and enterprises with regard to strategic management from the visual angle of innovation ecosystems. It is instrumental in the exploration of the mechanisms enabling firm innovation performance.

The purpose of this paper is to investigate how to measure collaborative design performance and, in turn, improve the final design output during a design process, with a clear objective to develop a design performance measurement (DPM) matrix to measure design project team members' design collaboration performances.

The methodology adopted in this research uses critical literature reviews, in‐depth focus group interviews and a questionnaire survey.

The main finding of this study is a DPM matrix that addresses five DPM indicators: efficiency, effectiveness, collaboration, management skill, and innovation, and 25 detailed DPM criteria. It was found that decision‐making efficiency is the most important DPM criterion for collaborative design efficiency; plus delivering to the brief for effectiveness; clear team goal/objectives for collaboration; decision‐making ability for management skill; and competitive advantage for innovation.

As the present study was focused on exploring DPM during a design process, some key DPM criteria which are not measurable during a design development process were not included in this study. The proposed multi‐feedback approach for DPM matrix implementation needs to be validated in future research.

The DPM matrix can be applied to support a design manager in measuring and improving collaborative design performance during a design process, by reviewing and modifying collaborative design development, identifying the design team strengths and weaknesses, improving team communication, and suggesting suitable responsive actions.

The major contribution of this study is the investigation and development of a DPM matrix to measure collaborative design performance during a design process.

Collaboration is thought to offer significant benefits over traditional contracts, however there is little existing research concerning how these benefits can be optimized. To address this gap, a survey investigated the impact of client characteristics on the time and cost efficiency of collaborative infrastructure projects. The paper aims to discuss these issues.

The survey of experienced senior practitioners of Australian collaborative infrastructure projects yielded 320 valid responses. Cluster analysis, one-way between group ANOVA tests and independent sample t-tests were used to confirm that three client characteristics are critical to time and cost performance: client sector (public/private); client experience with asset procurement; and client approach to price competition.

Projects procured by experienced private sector clients were found to meet targeted levels of performance, regardless of their approach to team selection. Among projects procured by experienced public sector clients, groups of relatively low and high performing projects could be distinguished, regardless of their approach to team selection. Projects run by teams selected competitively on non-price criteria prior to the pricing stage exhibited significantly better performance than those run by teams that competed on the price of the project to win the work.

This study focussed only on analysis of three client characteristics. Future research may consider a broader range of contextual variables. Results are based on perceptual data rather than objective data.

The findings show collaborative infrastructure clients in the construction sector should be less concerned about inexperience than they might have been, and more interested in single-team selection approaches than they might have been.

The results indicate significant performance differences between client types. In particular, experienced public sector clients had more polarized performance outcomes, compared to the private sector.

This paper aims to investigate the role of knowledge management in collaborative innovation and identifies the knowledge management approaches for supporting collaborative innovation community capacity building (CICCB) in organizations. The importance of collaborative innovation in developing organizational competitiveness is increasingly being recognized in both theory and practice worldwide. Collaborative innovation, however, is still under-explored from the trans-disciplinary perspective of knowledge management and community capacity building.

A comprehensive review of the related literature in collaborative innovation and knowledge management is conducted. Three demands for CICCB, including trust building for enhancing the effectiveness, sustainability building for improving the efficiency and extensibility building for developing the competitiveness in organizations, are identified, which paves the way for the development of a holistic approach to effective CICCB.

Three roles of knowledge management in supporting CICCB are identified, including the reformation of knowledge management for convergence in collaboration, the remediation of knowledge activities for synergy in communication and the reconfiguration of knowledge artifacts for the integration of knowledge management activities in connectivity. A holistic approach is proposed for effective CICCB in organizations, including the multi-dimensional convergence for trust building in collaboration, the multi-directional synergy for sustainability building in communication and the multi-layer integration for extensibility building in connectivity.

Insights about how organizations can better support CICCB through effective knowledge management for improving their competitiveness are provided based on the identification of the demand for CICCB and the role of knowledge management in collaborative innovation. The development of a holistic approach to effective CICCB can help organizations better utilize their limited resources for developing their competitiveness in today’s dynamic environment.

This paper is the first step of a comprehensive study on the role of knowledge management in supporting CICCB in organizations in today’s dynamic environment. It provides a solid foundation for the investigation of the models, approaches and mechanisms for effective CICCB through knowledge management in organizations.

The purpose of this paper is to analyse the management of commercial actors in strategic networks of emergency preparedness management (EPM) in developed countries and how these strategies connect to the emergency response efficiency. This study uses collaboration, strategy, and efficiency to evaluate the private governance of the food, healthcare, and transportation sectors and follows an analysis of these sectors’ management that finds an ambivalent impact on the efficiency of the worldwide supply chain network (SCN) system. This study discusses many strategic networks and nets of commercial standards with different management structures and emphasizes illustrating the EPM context, thereby offering directions for future research.

An empirical research approach and triangulation methodology was adopted to design the selection, evaluation, and contribution of the observed data and the humanitarian and business literature. An overview of strategic networks’ role in EPM in Sweden comprises several network approaches and considers the strategic value of three SCNs for response efficiency.

The study finds that strategic networks are relevant for EPM and response efficiency and can be delimited and adapted to developing countries’ demands. However, growing interest in networks’ strategic value for EPM stresses public-private collaboration as a strategic choice to achieve response efficiency. To offer strategic planning that ties demand with supply, public-private actors must collaborate in SCNs.

The study contributes to the existing literature on strategic networks, for example, industrial networks, by illustrating their strategic value for developed countries’ SCNs. It also contributes to the business literature, for example, on strategic net management. The work is original because it adopts a practical perspective involving buyers and suppliers in planning, the delimitation of their capability in nets, and the strategic value of SCN collaboration.