103,502 research outputs found
Percieved Evaluability - Development of a Theoretical Model and a Measurement Scale
Sound conceptual models are commonly considered as an important factor for successful information systems (IS) development. Due to inaccurate conceptual specifications, IS projects can be delayed or even fail. Thus, thorough evaluation of models is a major concern in IS research. Consequently, theoretical models are required which elucidate the conditions for the successful evaluability of conceptual models. However, IS literature only provides little insights about the prerequisites of effective evaluation. Systematic investigations on the evaluability of conceptual models are missing. Therefore, is paper aims at two research results. Firstly, based on a comprehensive literature review we propose a theoretical model of perceived evaluability. This theoretical model rests on the influence of domain knowledge and the perceived comprehensibility of conceptual models as its two main impact factors. Secondly, to prepare an empirical evaluation of the theoretical model, the development of measurement scales is described. The first steps of this process are exemplified based on an inquiry of modeling experts and implications for testing our hypotheses are provide
A Comparative Analysis of Gibrat’s and Zipf’s Law on Urban Population
The regional economics and geography literature on urban population size has in recent years shown interesting
conceptual and methodological contributions on the validity of Gibrat’s Law and Zipf’s Law. Despite distinct
modeling features, they express similar fundamental characteristics in an equilibrium situation. Zipf’s law is formalized in a static form, while its associated dynamic process is articulated by Gibrat’s Law. Thus, it is likely that both Zipf’s Law and Gibrat’s Law share a common root. Unfortunately, empirical investigations on the direct relationship between Gibrat’s Law and Zipf’s Law are rather rare and not conclusive.
The present paper aims to answer the question whether (a generalisation of) Gibrat’s Law allows us to infer Zipf’s Law, and vice versa? In our conceptual and applied framework, particular attention will be paid to the role
of the mean and the variance of city population as key indicators for assessing the (non-) validity of the
generalised Gibrat’s Law.
Our empirical experiments are based on a comparative analysis between the dynamics of the urban population of
four countries with entirely mutually contrasting spatial-economic and geographic characteristics: Botswana, Germany, Hungary and Luxembourg. We arrive at the following results: if (i) the mean is independent of city size (first necessary condition of Gibrat’s law) and (ii) the coefficient of the rank-size rule/Zipf’s Law is different from one, then the variance is dependent on city size
The Narrow Conception of Computational Psychology
One particularly successful approach to modeling within cognitive science is computational psychology. Computational psychology explores psychological processes by building and testing computational models with human data. In this paper, it is argued that a specific approach to understanding computation, what is called the ‘narrow conception’, has problematically limited the kinds of models, theories, and explanations that are offered within computational psychology. After raising two problems for the narrow conception, an alternative, ‘wide approach’ to computational psychology is proposed
Investigating Differences between Graphical and Textual Declarative Process Models
Declarative approaches to business process modeling are regarded as well
suited for highly volatile environments, as they enable a high degree of
flexibility. However, problems in understanding declarative process models
often impede their adoption. Particularly, a study revealed that aspects that
are present in both imperative and declarative process modeling languages at a
graphical level-while having different semantics-cause considerable troubles.
In this work we investigate whether a notation that does not contain graphical
lookalikes, i.e., a textual notation, can help to avoid this problem. Even
though a textual representation does not suffer from lookalikes, in our
empirical study it performed worse in terms of error rate, duration and mental
effort, as the textual representation forces the reader to mentally merge the
textual information. Likewise, subjects themselves expressed that the graphical
representation is easier to understand
Towards the Development of a Simulator for Investigating the Impact of People Management Practices on Retail Performance
Often models for understanding the impact of management practices on retail
performance are developed under the assumption of stability, equilibrium and
linearity, whereas retail operations are considered in reality to be dynamic,
non-linear and complex. Alternatively, discrete event and agent-based modelling
are approaches that allow the development of simulation models of heterogeneous
non-equilibrium systems for testing out different scenarios. When developing
simulation models one has to abstract and simplify from the real world, which
means that one has to try and capture the 'essence' of the system required for
developing a representation of the mechanisms that drive the progression in the
real system. Simulation models can be developed at different levels of
abstraction. To know the appropriate level of abstraction for a specific
application is often more of an art than a science. We have developed a retail
branch simulation model to investigate which level of model accuracy is
required for such a model to obtain meaningful results for practitioners.Comment: 24 pages, 7 figures, 6 tables, Journal of Simulation 201
Quantum Structure in Cognition, Origins, Developments, Successes and Expectations
We provide an overview of the results we have attained in the last decade on
the identification of quantum structures in cognition and, more specifically,
in the formalization and representation of natural concepts. We firstly discuss
the quantum foundational reasons that led us to investigate the mechanisms of
formation and combination of concepts in human reasoning, starting from the
empirically observed deviations from classical logical and probabilistic
structures. We then develop our quantum-theoretic perspective in Fock space
which allows successful modeling of various sets of cognitive experiments
collected by different scientists, including ourselves. In addition, we
formulate a unified explanatory hypothesis for the presence of quantum
structures in cognitive processes, and discuss our recent discovery of further
quantum aspects in concept combinations, namely, 'entanglement' and
'indistinguishability'. We finally illustrate perspectives for future research.Comment: 25 pages. arXiv admin note: text overlap with arXiv:1412.870
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