Developing front-end Web 2.0 technologies to access services, content and things in the future Internet

The future Internet is expected to be composed of a mesh of interoperable web services accessible from all over the web. This approach has not yet caught on since global user?service interaction is still an open issue. This paper states one vision with regard to next-generation front-end Web 2.0 technology that will enable integrated access to services, contents and things in the future Internet. In this paper, we illustrate how front-ends that wrap traditional services and resources can be tailored to the needs of end users, converting end users into prosumers (creators and consumers of service-based applications). To do this, we propose an architecture that end users without programming skills can use to create front-ends, consult catalogues of resources tailored to their needs, easily integrate and coordinate front-ends and create composite applications to orchestrate services in their back-end. The paper includes a case study illustrating that current user-centred web development tools are at a very early stage of evolution. We provide statistical data on how the proposed architecture improves these tools. This paper is based on research conducted by the Service Front End (SFE) Open Alliance initiative

Information Systems’ Portfolio: Contributions Of Enterprise And Process Architecture

We are witnessing a need for a quick and intelligent reaction from organizations to the level and speed of change in business processes. New information technologies and systems (IT/IS) are challenging business models and products. One of the great shakes comes from the online and/or mobile apps and platforms. These are having a tremendous impact in launching innovative and competitive services through the combination of digital and physical features. This leads to actively rethink enterprise information systems' portfolio, its management and suitability. One relevant way for enterprises to manage their IT/IS in order to cope with those challenges is enterprise and process architecture. A decision-making culture based on processes helps to understand and define the different elements that shape an organization and how those elements inter-relate inside and outside it. IT/IS portfolio management requires an increasing need of modeling data and process flows for better discerning and acting at its selection and alignment with business goals. The new generation of enterprise architecture (NGEA) helps to design intelligent processes that answer quickly and creatively to new and challenging trends. This has to be open, agile and context-aware to allow well-designed services that match users' expectations. This study includes two real cases/problems to solve quickly in companies and solutions are presented in line with this architectural approach.FCT-Foundation for Science and Technology [UID/SOC/04020/2013]info:eu-repo/semantics/publishedVersio

Research and Education in Computational Science and Engineering

Over the past two decades the field of computational science and engineering (CSE) has penetrated both basic and applied research in academia, industry, and laboratories to advance discovery, optimize systems, support decision-makers, and educate the scientific and engineering workforce. Informed by centuries of theory and experiment, CSE performs computational experiments to answer questions that neither theory nor experiment alone is equipped to answer. CSE provides scientists and engineers of all persuasions with algorithmic inventions and software systems that transcend disciplines and scales. Carried on a wave of digital technology, CSE brings the power of parallelism to bear on troves of data. Mathematics-based advanced computing has become a prevalent means of discovery and innovation in essentially all areas of science, engineering, technology, and society; and the CSE community is at the core of this transformation. However, a combination of disruptive developments---including the architectural complexity of extreme-scale computing, the data revolution that engulfs the planet, and the specialization required to follow the applications to new frontiers---is redefining the scope and reach of the CSE endeavor. This report describes the rapid expansion of CSE and the challenges to sustaining its bold advances. The report also presents strategies and directions for CSE research and education for the next decade.Comment: Major revision, to appear in SIAM Revie

Finding the traces of behavioral and cognitive processes in big data and naturally occurring datasets.

Today, people generate and store more data than ever before as they interact with both real and virtual environments. These digital traces of behavior and cognition offer cognitive scientists and psychologists an unprecedented opportunity to test theories outside the laboratory. Despite general excitement about big data and naturally occurring datasets among researchers, three gaps stand in the way of their wider adoption in theory-driven research: the imagination gap, the skills gap, and the culture gap. We outline an approach to bridging these three gaps while respecting our responsibilities to the public as participants in and consumers of the resulting research. To that end, we introduce Data on the Mind ( http://www.dataonthemind.org ), a community-focused initiative aimed at meeting the unprecedented challenges and opportunities of theory-driven research with big data and naturally occurring datasets. We argue that big data and naturally occurring datasets are most powerfully used to supplement-not supplant-traditional experimental paradigms in order to understand human behavior and cognition, and we highlight emerging ethical issues related to the collection, sharing, and use of these powerful datasets

Designing Institutional Infrastructure for E-Science

A new generation of information and communication infrastructures, including advanced Internet computing and Grid technologies, promises more direct and shared access to more widely distributed computing resources than was previously possible. Scientific and technological collaboration, consequently, is more and more dependent upon access to, and sharing of digital research data. Thus, the U.S. NSF Directorate committed in 2005 to a major research funding initiative, “Cyberinfrastructure Vision for 21st Century Discovery”. These investments are aimed at enhancement of computer and network technologies, and the training of researchers. Animated by much the same view, the UK e-Science Core Programme has preceded the NSF effort in funding development of an array of open standard middleware platforms, intended to support Grid enabled science and engineering research. This proceeds from the sceptical view that engineering breakthroughs alone will not be enough to achieve the outcomes envisaged. Success in realizing the potential of e-Science—through the collaborative activities supported by the "cyberinfrastructure," if it is to be achieved, will be the result of a nexus of interrelated social, legal, and technical transformations.e-science, cyberinfrastructure, information sharing, research

Reviewing literature on digitalization, business model innovation, and sustainable industry : past achievements and future promises

Digitalization is revolutionizing the way business is conducted within industrial value chains through the use of Internet of Things (IoT) technologies, intensive data exchange and predictive analytics. However, technological application on its own is not enough; profiting from digitalization requires business model innovation such as making the transition to advanced service business models. Yet, many research gaps remain in analyzing how industrial companies can leverage digitalization to transform their business models to achieve sustainability benefits. Specifically, challenges related to value creation, value delivery, and value capture components of business model innovation need further understanding as well as how alignment of these components drive sustainable industry initiatives. Thus, this special issue editorial attempts to take stock of the emerging research field through a literature review and providing a synthesis of special issue contributions. In doing so, we contribute by developing a framework that communicates and sets the direction for future research by linking digitalization, business model innovation, and sustainability in industrial settings.fi=vertaisarvioimaton|en=nonPeerReviewed

Web3 Decentralized Business Models

This paper presents key characteristics of Web3 and how the traditional business model canvas (BMC) requires updates to support managers in the Web3 industry. The characteristics of Web3 include Dapps, wal- lets, interoperability, tokenization, distributed ownership, decentralized communities, creator economy, and token economy. This study investigates how a business model in Web3 is different from the traditional BMC by Osterwalder and Pigneur (2010) based on a Delphi study with a panel of eight experts from the Web3 industry. The contribution of the research outlines a nascent Web3 business model with nine building blocks, including two new blocks specific to the nascent Web3 business models: value co-creation and value distribution. Furthermore, the model expands on the blocks of community and customer, tokenomics, and incentive and reward structures.This paper presents key characteristics of Web3 and how the traditional business model canvas (BMC) requires update to support managers in the Web3 industry. The characteristics of Web3 include Dapps, wallets, interoperability, tokenization, distributed ownership, decentralized communities, creator economy, and token economy. This study investigates how a business model in Web3 is different from the traditional BMC by Osterwalder and Pigneur (2010) based on a Delphi study with a panel of eight experts from the Web3 industry. The contribution of the research outlines a nascent Web3 business model canvas with seven building blocks, which are complemented by two overarching components specific to the nascent Web3 business models: value co-creation and value distribution. Furthermore, the model expands on the blocks of community and customer, tokenomics, and incentive and reward structures

TOWARDS INSTITUTIONAL INFRASTRUCTURES FOR E-SCIENCE: The Scope of the Challenge

The three-fold purpose of this Report to the Joint Information Systems Committee (JISC) of the Research Councils (UK) is to: • articulate the nature and significance of the non-technological issues that will bear on the practical effectiveness of the hardware and software infrastructures that are being created to enable collaborations in e- Science; • characterise succinctly the fundamental sources of the organisational and institutional challenges that need to be addressed in regard to defining terms, rights and responsibilities of the collaborating parties, and to illustrate these by reference to the limited experience gained to date in regard to intellectual property, liability, privacy, and security and competition policy issues affecting scientific research organisations; and • propose approaches for arriving at institutional mechanisms whose establishment would generate workable, specific arrangements facilitating collaboration in e-Science; and, that also might serve to meet similar needs in other spheres such as e- Learning, e-Government, e-Commerce, e-Healthcare. In carrying out these tasks, the report examines developments in enhanced computer-mediated telecommunication networks and digital information technologies, and recent advances in technologies of collaboration. It considers the economic and legal aspects of scientific collaboration, with attention to interactions between formal contracting and 'private ordering' arrangements that rest upon research community norms. It offers definitions of e-Science, virtual laboratories, collaboratories, and develops a taxonomy of collaborative e-Science activities which is implemented to classify British e-Science pilot projects and contrast these with US collaboratory projects funded during the 1990s. The approach to facilitating inter-organizational participation in collaborative projects rests upon the development of a modular structure of contractual clauses that permit flexibility and experience-based learning.

The Role of Privacy Protection in Business Models for Sustainability: A Conceptual Integration from an Ecosystem Perspective

Purpose: The principal purpose of this article is to address a critical issue emerging in the realm of interorganizational dependencies heavily impacted by digitalization, namely developing business models that would protect privacy in a sustainable way. On the one hand, companies have been jointly proposing, creating, delivering, and capturing value through an excessive, unethical exploitation of personal data and information. On the other, restricting and controlling flows of data and information hampers the processes that lead to social well-being. This article reflects on this paradox by building on the theories of business models for sustainability and contextual integrity, while offering a holistic conceptual narrative guiding the sustainable transition towards digital equity and inclusivity. Design/methodology/approach: This conceptual article can be classified as a theory synthesis paper with the ambition to achieve an outcome that enhances knowledge on concepts and a phenomenon by a conceptual integration across two different, previously unconnected literature streams and theories. Findings: This article suggests that businesses which play any role in transmission of data and information cannot be sustainable without protecting privacy as a social value. Furthermore, it argues that privacy cannot be protected without addressing the appropriateness of both flow and use of data and information with respect to all involved stakeholders. Ultimately, via linking two distinct yet interrelated and rigorously developed research streams, a heuristic framework for privacy and sustainability in business models is proposed as a system of key considerations for managers to apply in assessing and planning a business practice, so it protects privacy in a sustainable way. Originality/value: The key theoretical contribution of this article can be considered twofold. Firstly, it unfolds the relevance of privacy protection for the stream of business model research directed toward sustainable development in a way that is theoretically rigorous, complementary with the stakeholder theory, and reflecting the changing interorganizational dependencies affected by digitalization. Secondly, it contributes to the contemporary debate on privacy as a social value through identifying theoretically thorough avenue for adapting the theory of contextual integrity to a social domain where value proposition, creation, delivery, and capture with and for stakeholders involves transmission of data and information