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Located at the center of the Red River Delta, Hanoi is the consequence of the unstable balance between soil and water and has witnessed the amicable and adverse relationship between the two elements over a long history. Established as a small town in A.D. 210, Hanoi grew from a harbor on the bank of the Red River to a thriving city and was chosen to be the capital of Vietnam in 1010 as the site had advantageous physical, landscape, and geomancy characteristics. However, the capital had also been confronted with difficulties due to the alluvial process, which raises the level of the watercourse above its normal elevation forcing the inhabitants to take measures such as building a dyke to prevent floods. This chapter analyzes the natural and social conditions as well as several problems that have been affecting urban flood risk management in Hanoi. The chapter ends with practical options and policy measures to address the problems.

The increasing importance and proliferation of text data provide a unique opportunity and novel lens to study human communication across a myriad of business and marketing applications. For example, consumers compare and review products online, individuals interact with their voice assistants to search, shop, and express their needs, investors seek to extract signals from firms' press releases to improve their investment decisions, and firms analyze sales call transcripts to increase customer satisfaction and conversions. However, extracting meaningful information from unstructured text data is a nontrivial task. In this chapter, we review established natural language processing (NLP) methods for traditional tasks (e.g., LDA for topic modeling and lexicons for sentiment analysis and writing style extraction) and provide an outlook into the future of NLP in marketing, covering recent embedding-based approaches, pretrained language models, and transfer learning for novel tasks such as automated text generation and multi-modal representation learning. These emerging approaches allow the field to improve its ability to perform certain tasks that we have been using for more than a decade (e.g., text classification). But more importantly, they unlock entirely new types of tasks that bring about novel research opportunities (e.g., text summarization, and generative question answering). We conclude with a roadmap and research agenda for promising NLP applications in marketing and provide supplementary code examples to help interested scholars to explore opportunities related to NLP in marketing.

The centrality of time to the quality and experience of our lives has led scholars from a variety of disciplines to consider its social origins, including temporal differences among social collectives. Consistent across their accounts is the acknowledgment that time is co-constructed by people via their communicative interactions and formalized through the use of symbols. The goal of this chapter is to build on these extant socio-historical accounts – which explain temporal commodification, construction, and compression in Western, industrialized organizations – to offer a perspective that is grounded in communication and premised on human agency. Specifically, it takes a chronemic approach to interrogating time in the workplace, exploring how time is a symbolic construction emergent through human interaction. It examines McGrath and Kelly's (1986) model of social entrainment as relevant to the interactional bases of time, and utilizes it and structuration theory to consider the mediation and interpenetration of four oft-cited practices in the emergence of a Westernized time orientation: industrial capitalism, the Protestant work ethic, the mechanized clock, and standardized time zones. Surrounded by contemporary workplace discussions on managing the demands of personal–professional times, this analysis employs themes of temporal commodification, construction, and compression to explore the influence of these socio-historical developments in shaping norms about the time and timing of work.

Purpose — Since a couple of years, we are confronted with the phenomenon of information overload. In particular, the web provides a rich source of a variety of information mainly in textual, i.e. unstructured form. Thus, web search faces new challenges that are how to make the user aware of the variety of content available and how to satisfy users best with such manifold content.

Methodology — This variety of content is considered as diversity, i.e. the reflection of a result set's coverage of multiple interpretations of a query. Diversification within web search aims on the one hand at adapting the ranking in a way that the top results are diverse. Increasingly important becomes on the other hand the organization and classification of content within diversification.

Findings — Various approaches to diversification are available or currently focus on research activities. They range from an adapted ranking by means of similarity measures or diversity scores to a comprehensive diversity analysis which determines topics and classifies text according to opinions etc.

Implications — Given the high diversity of web content, approaches for diversification are extremely important. Web search tries to address this problem from different perspectives. For the future, combination with image search result diversification is important. Further, benchmarks and standard data sets for evaluations need to be established to ensure comparability of results from various approaches.

Originality/value — This chapter provides an overview on diversity in web search from two directions: (a) Diversity is introduced with its notions and dimensions. (b) Methods to assess diversity within web search are presented.

Over the past few years, assemblage theory or assemblage thinking has garnered increasing attention in educational research, but has been used only tangentially in explications of the nature of comparative and international education (CIE) as a field. This conceptual examination applies an assemblage theory lens to explore the contours of CIE as a scholarly field marked by its rich and interweaved architecture. It does so by first reviewing Deleuze and Guattari’s (1987) principles of rhizomatic structures to define the emergence of assemblages. Secondly, it transposes these principles in conceiving the field of CIE as a meta-assemblage of associated and subordinated sub-assemblages of actors driven by varied disciplinary, interdisciplinary or multidisciplinary interests. Finally, it interrogates the role of Big Data technologies in exerting (re)territorializing and deterritorializing tendencies on the (re)configuration of CIE. The chapter concludes with reiterating the variable character of CIE as a meta-assemblage and proposes ways to move this conversation forward.

The construction industry has a fragmented nature which accounts for the highest degree of decentralisation of information. The exchange of information can be made possible and easier by the application of smart computing into the construction process. This creates an opportunity to enhance productivity and communication among stakeholders of the industry. This chapter, therefore, explores the concept of smart contracts, its drivers, challenges and critical success factors for implementing smart computing into construction in the effort to work towards an industry that is functional and sustainable at the same time.

Over one million individuals diagnosed with autism spectrum disorder (ASD) will be entering adulthood and attempting to cultivate fulfilling, meaningful life experiences. These young adults with ASD represent Generation A. The workplace will be a major element in cultivating fulfilling lives for Generation A. Social interaction is an integral component for functioning within most postsecondary and occupational settings. It is necessary to understand the interaction between autistic adults and organizations to understand potential social and behavioral deficits. The workplace is inherently a social place. Understanding both formal and informal social information in the workplace may be critical to successful job performance. Fit, particularly person–organization fit, is used to address this social nature of the workplace. Understanding this interaction helps provide a means for crafting both individual and organizational interventions which support autistic adults in the workplace. This chapter provides an analysis of interventions that support those with ASD in the workplace. It is proposed that these interventions will help create a more supportive work environment for those with ASD. As important, it is proposed that the accommodations for those with ASD are reasonable for any organization seeking to improve both satisfaction and performance for all its employees. By addressing these issues, organizations have the potential to create a more satisfying workplace for all workers, not just those in Generation A.