483,237 research outputs found

    Neither Agents nor Stewards: Proposing Signaling Theory to Explain Agile Information Systems Development Control

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    Agile information systems development (ISD) is characterized by high levels of trust towards developers. However, a broad stream of research points to the presence of pragmatic agile practitioners, who follow agile prescriptions less rigorously and tend to put just as much emphasis on project controls than on trust. ISD project control literature so far explained control activities mostly through agency theory and, to a lower extent, stewardship theory. These theories do not explain well this middle ground between trust and controls as they have radical views on actors: agency assumes self-interested utility maximizers; stewardship presumes self-sacrificing stewards. In this study, we introduce signaling theory for explaining control in Agile ISD that allows for more balanced views on developers, and propose an explanatory case study to review the use of three alternative theoretical models in this context

    Architectural Adequacy and Evolutionary Adequacy as Characteristics of a Candidate Informational Money

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    For money-like informational commodities the notions of architectural adequacy and evolutionary adequacy are proposed as the first two stages of a moneyness maturity hierarchy. Then three classes of informational commodities are distinguished: exclusively informational commodities, strictly informational commodities, and ownable informational commodities. For each class money-like instances of that commodity class, as well as monies of that class may exist. With the help of these classifications and making use of previous assessments of Bitcoin, it is argued that at this stage Bitcoin is unlikely ever to evolve into a money. Assessing the evolutionary adequacy of Bitcoin is perceived in terms of a search through its design hull for superior design alternatives. An extensive comparison is made between the search for superior design alternatives to Bitcoin and the search for design alternatives to a specific and unconventional view on the definition of fractions.Comment: 25 page

    A design recording framework to facilitate knowledge sharing in collaborative software engineering

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    This paper describes an environment that allows a development team to share knowledge about software artefacts by recording decisions and rationales as well as supporting the team in formulating and maintaining design constraints. It explores the use of multi-dimensional design spaces for capturing various issues arising during development and presenting this meta-information using a network of views. It describes a framework to underlie the collaborative environment and shows the supporting architecture and its implementation. It addresses how the artefacts and their meta-information are captured in a non-invasive way and shows how an artefact repository is embedded to store and manage the artefacts

    Travel Demand Growth: Research on Longer-Term Issues. The Potential Contribution of Trip Planning Systems

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    INTRODUCTION 1.1 The growth in demand for travel Over the 20 years hm 1965, National Travel Survey (NTS) data shows a 61% growth in total person - km of travel. More detailed analysis suggests that this is made up roughly as follows:- due to increased population 4% due to more journeys 22% due to longer journeys 35% This implies that around 60% of the growth in travel has been due to people travelling further, rather than making more journeys. It is interesting to note, too, that the same phenomenon occurs even in the most congested areas. Between 1975 and 1985, NTS shows an 11% growth in person -km by London residents, at a time when population fell by 5%. In this case, the growth is made up roughly as follows:- due to lost population -5% due to more journeys 4% due to longer journeys 12% It is of course difficult to estimate the extent to which future growth in travel will be generated by longer journeys. The NRTF, which predicts a growth in car-km of between 120% and 180% between 1985 and 2025, is not based on a procedure which enables the effects of journey making and journey length to be separated. However, it is worth noting that if the same pattern were to exist at a national level in future, the predicted growth in car travel due to longer journeys could be equivalent to between 75% and 100% of today's car travel. It seems appropriate to ask whether it is a wise use of scarce resources to provide the infrastructure and energy needed to enable people to carry out their activities further from home. (Continues...

    An open learner model for trainee pilots

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    This paper investigates the potential for simple open learner models for highly motivated, independent learners, using the example of trainee pilots. In particular we consider whether such users access their learner model to help them identify their current knowledge level, areas of difficulty and specific misconceptions, to help them plan their immediate learning activities; and whether they find a longer‐term planning aid useful. The Flight Club open learner model was deployed in a UK flight school over four weeks. Results suggest that motivated users such as trainee pilots will use a system with a simple open learner model, and are interested in consulting their learner model information both to facilitate planning over time, and to understand their current knowledge state. We discuss the extent to which our findings may be relevant to learners in other contexts

    The various and conflicting notions of information

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    There are identified within the discourse a number of notions regarding the term information. This paper sets out to explore these sometimes-conflicting notions of information. The reason why conflicting notions occur is the result of different perspectives and understanding of the term information. Within the discourse two camps are identified, firstly, those who identify information as a resource and those who identify information as a processual approach enacted by individuals. The former is not uncommon within the business environment given the relationship seen between information and technology; this view simplifies information as merely structured data. The latter approach requires the involvement of individuals or more succinctly human understanding and interpretation. By viewing information as a processual process enacted by humans one is identifying an alternative view of how information is created, managed, used and developed. The aim is to discuss both views to gain clarity and understanding in terms of why the various and conflicting notions of information impact on its use within organisations. What is highlighted within this paper is that information is a complex and ambiguous term. There is no easy ‘off-the shelf’ solution to managing information. One potentially successful approach is to view information from an epistemological perspective. This requires those having to deal with this complex and ambiguous term a starting point from which to build and gain both an individual and an organisational understanding in terms of the use of information. This allows individuals to set direction, decide where to focus their effort and ultimately how to gain some control over this vital and important issue of ‘information’

    Can electoral popularity be predicted using socially generated big data?

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    Today, our more-than-ever digital lives leave significant footprints in cyberspace. Large scale collections of these socially generated footprints, often known as big data, could help us to re-investigate different aspects of our social collective behaviour in a quantitative framework. In this contribution we discuss one such possibility: the monitoring and predicting of popularity dynamics of candidates and parties through the analysis of socially generated data on the web during electoral campaigns. Such data offer considerable possibility for improving our awareness of popularity dynamics. However they also suffer from significant drawbacks in terms of representativeness and generalisability. In this paper we discuss potential ways around such problems, suggesting the nature of different political systems and contexts might lend differing levels of predictive power to certain types of data source. We offer an initial exploratory test of these ideas, focussing on two data streams, Wikipedia page views and Google search queries. On the basis of this data, we present popularity dynamics from real case examples of recent elections in three different countries.Comment: To appear in Information Technolog
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