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The book explains how Gravitational Distance and the System of Cities influence transnational construction-related firms when they venture overseas. The study presented in the book internalizes the characteristics of home and foreign cities, and of transnational firms, to develop situational business strategies and organization designs in terms of Strategy, Structure, Systems, Leadership Style, Firm's Skills, Staff's characteristics, Shared Values and Supply Chain. The book presents the findings of surveys and interviews with managers and professionals in eight different Asian cities stretching from Singapore to China. The findings are then used to develop business solutions in the form of a Decision Support System (DSS) for transnational construction firms, helping them to adopt an appropriate organization design strategy when they venture into overseas markets. Issues relating to globalization, competitiveness, risk management, communications, networks, government interference, business strategies, organization structures and systems in the context of international construction business are discussed together with corresponding recommendations for implementation. Although construction-related firms were used as the basis for the field studies, the lessons learned are equally applicable for organizations in other industries.

Chapter 1. Role of Community Model in Networked Healthcare Organizations -- Chapter 2. Blockchain Architecture for the Healthcare Ecosystem -- Chapter 3. Blockchain-Based Dynamic Consent for Healthcare and Research -- Chapter 4. "Pay for Value": Blockchain for Drug Pricing in Canada -- Chapter 5. A Blockchain-Centric Data Sharing Framework for Building Trust in Healthcare Insurance -- Chapter 6. Learning to Trust: Exploring the Relationship between Trust and User Experience in Blockchain Systems -- Chapter 7. Design and Implementation Considerations for Blockchain for Health Records -- Chapter 8. Blockchain Implementation for Decentralized Real-World Research -- Chapter 9. The inter-organizational environment of blockchain in healthcare: The state of blockchain healthcare consortia.

AbstractIn traditional school-based learning, attendance was regarded as a proxy for engagement and key indicator for performance. However, few studies have explored the effect of in-class attendance in technology-enhanced courses that are increasingly provided by secondary institutions. This study collected n = 367 undergraduate students' log files from Moodle and applied learning analytics methods to measure their lecture attendance, online learning activities, and performance on online formative assessments. A baseline and an alternative structural equation models were used to investigate whether online learning engagement and formative assessment mediated the relationship between lecture attendance and course academic outcomes. Results show that lecture attendance does not have a direct effect on academic outcomes, but it promotes performance by leveraging online learning engagement and formative assessment performance. Findings contribute to understanding the impact of in-class attendance on course academic performance and the interplay of in-class and online-learning engagement factors in the context of technology-enhanced courses. This study recommends using a variety of educational technologies to pave multiple pathways to academic success.

Two major forces have contributed to the fast growth of human genetic data. One from medical research supported by governments and academic institutes; the other from direct-to-consumer (DTC) sequencing companies. While the former benefits from meticulously designed sequencing standards and quality control procedures, the latter comes in various formats and sequencing methods which are subject to changes over time and the particular needs of different companies. Thanks to the general public who shared their DNA data without constraint, here we provide a review for over 7000 genomes made public between 2011 and 2020, and produced by over six DTC sequencing companies. An open source tool-kit to systematically parse, quality check and filter genome files and statistically problematic alleles is provided to prepare consumer DNA datasets for research. The GenomePrep output is available in two common DNA datafile formats to enable further analysis with other tools. We also provide for download the combined output for all OpenSNP array genomes processed in this paper in a single data freeze file.

PurposeThis study aims to explore the effect of collaboration networks (domestic and international collaboration networks) on the innovation performance of small and medium-sized enterprises (SMEs). It also investigates the mediating role of business model innovation, the moderating role of entrepreneurial orientation and government institutional support between them.Design/methodology/approachHierarchical regression analysis is adopted to test the hypotheses based on survey data provided by 223 manufacturing SMEs in China.FindingsThe results reveal that domestic and international collaboration networks positively affect SMEs' innovation performance. Business model innovation mediates domestic and international collaboration networks-SMEs' innovation performance relationships. Entrepreneurial orientation positively moderates international collaboration networks–SMEs' innovation performance relationship, and government institutional support positively moderates domestic and international collaboration networks–SMEs' innovation performance relationships.Practical implicationsThe findings indicate that managers of SMEs should invest in domestic and international collaboration networks and business model innovation to enhance SMEs' innovation performance. Moreover, entrepreneurial orientation and government institutional support should be valued when SMEs try to enhance their innovation performance by embedding in domestic and international collaboration networks.Originality/valueThis study broadens the authors' understanding of the relationship between collaboration networks and firms' innovation performance by classifying collaboration networks into domestic and international dimensions and investigating their direct impacts on SMEs' innovation performance. Besides, this study reveals how and when domestic and international collaboration networks influence the innovation performance of SMEs.

PurposeWell-constructed transportation infrastructure may effectively decrease barriers to the flow of innovative human resources and inventive elements, accelerating enterprise innovation activities. This study will explore how HSR helps enterprises achieve ambidextrous innovation, including the mediating mechanism of absorbed slack resources, innovative talents, and the heterogeneous effects of management shareholding ratio and financing constraints.Design/methodology/approachBased on resource dependence theory and social network theory, this study employs a quasi-natural experiment of China's high-speed railway and builds a multi-time point DID model to investigate its influence on enterprise ambidextrous innovation.FindingsResults suggest that the HSR positively influences both exploitative and exploratory innovation, and the influence is more substantial on exploitative innovation. Further analysis finds two influencing channels through which HSR influences enterprise ambidextrous innovation: providing redundant resources and attracting innovative talents. Heterogeneity analysis indicates that HSR has a more significant positive effect on exploratory innovation for enterprises with high management shareholding. In the low financing constraint group, the HSR opening has a more significant impact on ambidextrous innovation.Practical implicationsIn ambidextrous innovation, enterprises should rationalize the allocation of resources, attach importance to the innovative talent introduction, and choose differentiated paths based on intrinsic characteristics. Meanwhile, the government should actively improve the HSR routes and continuously improve the innovative environment.Originality/valueThis study enriches the theoretical research framework of HSR and ambidextrous innovation by identifying the channel mechanisms and boundary conditions through which HSR affects ambidextrous innovation and expands the consequences of HSR and the antecedents of ambidextrous.