Conceptualizing Digital Resilience: An Intellectual Capital Perspective

In the current era of digital transformations, numerous organizations integrate information and communication technologies (ICTs) into their core operations. However, such transformations can lead to novel risks that have to be governed in the face of disruptions. The emergence of a new risk landscape has given rise to new concepts aimed at safeguarding ICT-based operations. One of these is digital resilience (DR), a complex concept that has recently received attention from academia and regulatory bodies. However, prior work has often studied it inconsistently and offered different suggestions on how to build DR. To foster a comprehensive understanding of DR within information systems (IS), we have conducted a systematic literature review and conceptualized the problem by drawing on intellectual capital (IC) theory. We contribute to research and organizational practice by offering a novel framework with three main sub-capabilities and a comprehensive range of supporting micro-foundation, which unveils areas for future research

Architectures for the Future Networks and the Next Generation Internet: A Survey

Networking research funding agencies in the USA, Europe, Japan, and other countries are encouraging research on revolutionary networking architectures that may or may not be bound by the restrictions of the current TCP/IP based Internet. We present a comprehensive survey of such research projects and activities. The topics covered include various testbeds for experimentations for new architectures, new security mechanisms, content delivery mechanisms, management and control frameworks, service architectures, and routing mechanisms. Delay/Disruption tolerant networks, which allow communications even when complete end-to-end path is not available, are also discussed

Productive sustainability: An emergent methods approach to creating, communicating, and exploring leadership and management practices for contemporary challenges

Chapter one opens with an account of the journey that led to the writing of the thesis. It grounds the research in my own experiences which led to the two central concerns: firstly, businesses face an uncertain and volatile environment that is very different to anything that they have experienced before, and, moreover, that this uncertainty is likely to continue into the foreseeable future; and, secondly, what organisations can do to promote productive sustainability in the midst of these prevailing and impending challenges? The thesis then foregrounds the importance of environmental factors, and 1) explores how they impact on organisations' productivity by questioning the validity of established methods, given their reliance on retrospective data, and 2) looks for better ways forward by maximising the power of the present through emerging methods and practices. This forward-looking orientation continues with two chapters (two and three) that seek to underscore the efficacy of experiential learning through action research as well as through theoretical explorations of disciplinary interactions and field research into congruent hybrid opportunities for organisations across the for-profit and not-for-profit divide. Chapter four then argues for reconfiguring the sustainability challenge as one of improving innovation performance by creating dynamic balance between exploration and exploitation. Building on these ideas, the next three chapters examine leadership repertoires for dealing with different challenges. Chapter five posits that a firm's strategy, leadership, and processes are not only correlated to specific environments, but that particular characteristics can be broadly correlated with different eras. Chapter six then identifies the three new challenges - of sustainable development, base of pyramid engagement, and managing risk in a globalised world - that organisations need to address at this particular time. Chapter seven concludes the trilogy by identifying an emerging set of leadership practices for engaging productively with such high velocity change. The final five chapters focus on a grounded theory study, which is both a piece of original research in its own right, and an avenue that enables an extension and validation of the earlier concerns through the research questions What existing and likely future challenges face contemporary Australian businesses and what current and emerging practices are leaders using to address productive sustainability? . The study involves senior leaders of successful Australian-based businesses who participate in theorising both existing and future challenges and the parallel emerging practices that leaders are using to address productive sustainability. Chapters eight, nine, and ten frame the grounded theory research, and describe the sampling and analysis of data in the study. Chapters eleven and twelve describe the study's findings, and its conclusions respectively. The data from the grounded theory research revealed that this environment is described as complex. For the participants, this is evident in the display of one, or more, of the following three key characteristics: dynamic, layered, interdependent, interconnected, and patterned organisational challenges; marked/radical shifts in markets, competition, technology and customers' definition of value; and uncertain, unpredictable, and uncontrollable global driving forces. This research further developed theories that leadership's successful response to this complex environment is the Ensemble Leadership Repertoire. The name has been chosen to provide vivid imagery (Locke, 2001, p. 72) to three practices taken together and working in harmony: Firstly, sharing fates and interdependence; secondly, exploring deeper meaning; and finally the emerging practice of Zeitgeist (i.e., integrating cognition, conscience and collective spirit). As the name Ensemble suggests, these three practices are not manifested individually in exclusion to each other, and/or as a paradigmatic shift from one practice to the other. Rather, successful leadership demonstrates all three practices, as appropriate, as an Ensemble Repertoire in the pursuit of sustainable organisational productivity

Next Generation Internet of Things – Distributed Intelligence at the Edge and Human-Machine Interactions

This book provides an overview of the next generation Internet of Things (IoT), ranging from research, innovation, development priorities, to enabling technologies in a global context. It is intended as a standalone in a series covering the activities of the Internet of Things European Research Cluster (IERC), including research, technological innovation, validation, and deployment.The following chapters build on the ideas put forward by the European Research Cluster, the IoT European Platform Initiative (IoT–EPI), the IoT European Large-Scale Pilots Programme and the IoT European Security and Privacy Projects, presenting global views and state-of-the-art results regarding the next generation of IoT research, innovation, development, and deployment.The IoT and Industrial Internet of Things (IIoT) are evolving towards the next generation of Tactile IoT/IIoT, bringing together hyperconnectivity (5G and beyond), edge computing, Distributed Ledger Technologies (DLTs), virtual/ andaugmented reality (VR/AR), and artificial intelligence (AI) transformation.Following the wider adoption of consumer IoT, the next generation of IoT/IIoT innovation for business is driven by industries, addressing interoperability issues and providing new end-to-end security solutions to face continuous treats.The advances of AI technology in vision, speech recognition, natural language processing and dialog are enabling the development of end-to-end intelligent systems encapsulating multiple technologies, delivering services in real-time using limited resources. These developments are focusing on designing and delivering embedded and hierarchical AI solutions in IoT/IIoT, edge computing, using distributed architectures, DLTs platforms and distributed end-to-end security, which provide real-time decisions using less data and computational resources, while accessing each type of resource in a way that enhances the accuracy and performance of models in the various IoT/IIoT applications.The convergence and combination of IoT, AI and other related technologies to derive insights, decisions and revenue from sensor data provide new business models and sources of monetization. Meanwhile, scalable, IoT-enabled applications have become part of larger business objectives, enabling digital transformation with a focus on new services and applications.Serving the next generation of Tactile IoT/IIoT real-time use cases over 5G and Network Slicing technology is essential for consumer and industrial applications and support reducing operational costs, increasing efficiency and leveraging additional capabilities for real-time autonomous systems.New IoT distributed architectures, combined with system-level architectures for edge/fog computing, are evolving IoT platforms, including AI and DLTs, with embedded intelligence into the hyperconnectivity infrastructure.The next generation of IoT/IIoT technologies are highly transformational, enabling innovation at scale, and autonomous decision-making in various application domains such as healthcare, smart homes, smart buildings, smart cities, energy, agriculture, transportation and autonomous vehicles, the military, logistics and supply chain, retail and wholesale, manufacturing, mining and oil and gas

EUSN 2021 Book of Abstracts, Fifth European Conference on Social Networks

Book of abstract of the fifth European conference on Social Networks EUSN 202

Research and Creative Activity, July 1, 2020-June 30, 2021: Major Sponsored Programs and Faculty Accomplishments in Research and Creative Activity, University of Nebraska-Lincoln

Foreword by Bob Wilhelm, Vice Chancellor for Research and Economic Development, University of Nebraska-Lincoln: This booklet highlights successes in research, scholarship and creative activity by University of Nebraska–Lincoln faculty during the fiscal year running July 1, 2020, to June 30, 2021. It lists investigators, project titles and funding sources on major grants and sponsored awards received during the year; fellowships and other recognitions and honors bestowed on our faculty; books and chapters published by faculty; performances, exhibitions and other examples of creative activity; patents and licensing agreements issued; National Science Foundation I-CORPS teams; and peer-reviewed journal articles and conference presentations. In recognition of the important role faculty have in the undergraduate experience at Nebraska, this booklet notes the students and mentors participating in the Undergraduate Creative Activities and Research Experience (UCARE) and the First-Year Research Experience (FYRE) programs. While metrics cannot convey the full impact of our work, they are tangible measures of growth. A few achievements of note: • UNL achieved a record $320 million in total research expenditures in FY 2020, a 43• Our faculty earned 1,508 sponsored research awards in FY 2020. University-sponsored industry activity also spurred economic growth for Nebraska. • Nebraska Innovation Campus created 1,948 jobs statewide and had a total economic impact of$372 million. • Industry sponsorship supported $19.2 million in research expenditures. • NUtech Ventures brought in$6.48 million in licensing income. I applaud the Nebraska Research community for its determination and commitment during a challenging year. Your hard work has made it possible for our momentum to continue growing. Our university is poised for even greater success. The Grand Challenges initiative provides a framework for developing bold ideas to solve society’s greatest issues, which is how we will have the greatest impact as an institution. Please visit research.unl.edu/grandchallenges to learn more. We’re also renewing our campus commitment to a journey of anti-racism and racial equity, which is among the most important work we’ll do. I am pleased to present this record of accomplishments. Contents Awards of $5 Million or More Awards of$1 Million to $4,999,999 Awards of$250,000 to $999,999 50 Early Career Awards Arts and Humanities Awards of$250,000 or More Arts and Humanities Awards of $50,000 to$249,999 Arts and Humanities Awards of $5,000 to$49,999 Patents License Agreements National Science Foundation Innovation Corps Teams Creative Activity Books Recognitions and Honors Journal Articles 105 Conference Presentations UCARE and FYRE Projects Glossar

Disruption to Destruction: Exploring the Effects of Digital Disruption on the Value Creation Processes within the Field of Fashion through the lens of Service Dominant Logic

Digital platforms have democratised the fashion industry; once notoriously shielded by gatekeepers. Today, fashion’s end consumers rely less on such gatekeepers who hold industry specific knowledge, but instead, “follow” social media influencers who have shifted control from the sender (e.g. fashion brand) to the receiver (e.g. consumer). Together with a growing dependence on other boundary breaking technologies, the relevance of traditional gatekeepers is questioned, as is the holistic process of value creation within this ecosystem. Building upon contemporary service dominant logic (SDL) literature on service ecosystems, as well as the composition of value codestruction, this thesis zooms into the empirical context of the global fashion industry. To capture the complexity of individual and group behaviours within micro, meso and macro network contexts, an ethnographic research strategy was conducted, spanning over 18 months and including participant observations and self-reflexivity, a focus group, and 17 semi-structured interviews with influential fashion intermediaries. Through thematic analysis, results were presented in a series of narrative stories, which ultimately, help shine a new light on how we view SDL in regard to operant resources, the complexities of diverse ecosystem actors, and value extraction. Our theoretical contribution is to add to SDL literature with what we call the co-abduction of value and the democratisation of primary value creation. The importance of this finding is to highlight how the micro and macro level processes of a field can lead industry actors to manipulate value creation in what was previously a highly territorial industry. Our contribution highlights the mechanisms through which value creation can be appropriated, destroyed and reconfigured

Next Generation Internet of Things – Distributed Intelligence at the Edge and Human-Machine Interactions

This book provides an overview of the next generation Internet of Things (IoT), ranging from research, innovation, development priorities, to enabling technologies in a global context. It is intended as a standalone in a series covering the activities of the Internet of Things European Research Cluster (IERC), including research, technological innovation, validation, and deployment.The following chapters build on the ideas put forward by the European Research Cluster, the IoT European Platform Initiative (IoT–EPI), the IoT European Large-Scale Pilots Programme and the IoT European Security and Privacy Projects, presenting global views and state-of-the-art results regarding the next generation of IoT research, innovation, development, and deployment.The IoT and Industrial Internet of Things (IIoT) are evolving towards the next generation of Tactile IoT/IIoT, bringing together hyperconnectivity (5G and beyond), edge computing, Distributed Ledger Technologies (DLTs), virtual/ andaugmented reality (VR/AR), and artificial intelligence (AI) transformation.Following the wider adoption of consumer IoT, the next generation of IoT/IIoT innovation for business is driven by industries, addressing interoperability issues and providing new end-to-end security solutions to face continuous treats.The advances of AI technology in vision, speech recognition, natural language processing and dialog are enabling the development of end-to-end intelligent systems encapsulating multiple technologies, delivering services in real-time using limited resources. These developments are focusing on designing and delivering embedded and hierarchical AI solutions in IoT/IIoT, edge computing, using distributed architectures, DLTs platforms and distributed end-to-end security, which provide real-time decisions using less data and computational resources, while accessing each type of resource in a way that enhances the accuracy and performance of models in the various IoT/IIoT applications.The convergence and combination of IoT, AI and other related technologies to derive insights, decisions and revenue from sensor data provide new business models and sources of monetization. Meanwhile, scalable, IoT-enabled applications have become part of larger business objectives, enabling digital transformation with a focus on new services and applications.Serving the next generation of Tactile IoT/IIoT real-time use cases over 5G and Network Slicing technology is essential for consumer and industrial applications and support reducing operational costs, increasing efficiency and leveraging additional capabilities for real-time autonomous systems.New IoT distributed architectures, combined with system-level architectures for edge/fog computing, are evolving IoT platforms, including AI and DLTs, with embedded intelligence into the hyperconnectivity infrastructure.The next generation of IoT/IIoT technologies are highly transformational, enabling innovation at scale, and autonomous decision-making in various application domains such as healthcare, smart homes, smart buildings, smart cities, energy, agriculture, transportation and autonomous vehicles, the military, logistics and supply chain, retail and wholesale, manufacturing, mining and oil and gas