UncertML: an XML schema for exchanging uncertainty

Authors from Burrough (1992) to Heuvelink et al. (2007) have highlighted the importance of GIS frameworks which can handle incomplete knowledge in data inputs, in decision rules and in the geometries and attributes modelled. It is particularly important for this uncertainty to be characterised and quantified when GI data is used for spatial decision making. Despite a substantial and valuable literature on means of representing and encoding uncertainty and its propagation in GI (e.g.,Hunter and Goodchild 1993; Duckham et al. 2001; Couclelis 2003), no framework yet exists to describe and communicate uncertainty in an interoperable way. This limits the usability of Internet resources of geospatial data, which are ever-increasing, based on specifications that provide frameworks for the ‘GeoWeb’ (Botts and Robin 2007; Cox 2006). In this paper we present UncertML, an XML schema which provides a framework for describing uncertainty as it propagates through many applications, including online risk management chains. This uncertainty description ranges from simple summary statistics (e.g., mean and variance) to complex representations such as parametric, multivariate distributions at each point of a regular grid. The philosophy adopted in UncertML is that all data values are inherently uncertain, (i.e., they are random variables, rather than values with defined quality metadata).

Modeling geometric rules in object based models:an XML / GML approach

Most object-based approaches to Geographical Information Systems (GIS) have concentrated on the representation of geometric properties of objects in terms of fixed geometry. In our road traffic marking application domain we have a requirement to represent the static locations of the road markings but also enforce the associated regulations, which are typically geometric in nature. For example a give way line of a pedestrian crossing in the UK must be within 1100-3000 mm of the edge of the crossing pattern. In previous studies of the application of spatial rules (often called 'business logic') in GIS emphasis has been placed on the representation of topological constraints and data integrity checks. There is very little GIS literature that describes models for geometric rules, although there are some examples in the Computer Aided Design (CAD) literature. This paper introduces some of the ideas from so called variational CAD models to the GIS application domain, and extends these using a Geography Markup Language (GML) based representation. In our application we have an additional requirement; the geometric rules are often changed and vary from country to country so should be represented in a flexible manner. In this paper we describe an elegant solution to the representation of geometric rules, such as requiring lines to be offset from other objects. The method uses a feature-property model embraced in GML 3.1 and extends the possible relationships in feature collections to permit the application of parameterized geometric constraints to sub features. We show the parametric rule model we have developed and discuss the advantage of using simple parametric expressions in the rule base. We discuss the possibilities and limitations of our approach and relate our data model to GML 3.1. © 2006 Springer-Verlag Berlin Heidelberg.

The theory-practice divide:thoughts from the Editors and Senior Advisory Board of EJM

Purpose – The purpose of this editorial is to bring together thoughts and opinions from the Editors and Senior Advisory Board of EJM regarding the nature of the long-debated “theory-practice divide” in marketing scholarship. Design/methodology/approach – The authors synthesise diverse opinions from senior academics in order both to inspire further debate in marketing scholarship, and to draw some important conclusions for marketing academia as a whole. Findings – The authors propose that, for marketing scholarship to mature and progress, room must be found for those who wish to focus both on practical and on pure marketing scholarship. Career advancement from both routes is vital. Research limitations/implications – The topic of the theory-practice gap is complex. Many diverse opinions are cited and, due to space constraints, the coverage of many issues is necessarily brief. Practical implications – Scholars should find the thoughts contained in the paper of significant interest. Originality/value – The paper appears to be the first to bring together such a set of diverse opinions on the subject, and to try to draw some overall pragmatic conclusions, while still recognising the multiplicity of valid thought in the area.

Guest editors' introduction : emerging patterns of HRM in the new Indian economic environment

Special Issue: Special Issue: Emerging Patterns of HRM in the New Indian Economic Environment

Using XML and XSLT for flexible elicitation of mental-health risk knowledge

Current tools for assessing risks associated with mental-health problems require assessors to make high-level judgements based on clinical experience. This paper describes how new technologies can enhance qualitative research methods to identify lower-level cues underlying these judgements, which can be collected by people without a specialist mental-health background. Content analysis of interviews with 46 multidisciplinary mental-health experts exposed the cues and their interrelationships, which were represented by a mind map using software that stores maps as XML. All 46 mind maps were integrated into a single XML knowledge structure and analysed by a Lisp program to generate quantitative information about the numbers of experts associated with each part of it. The knowledge was refined by the experts, using software developed in Flash to record their collective views within the XML itself. These views specified how the XML should be transformed by XSLT, a technology for rendering XML, which resulted in a validated hierarchical knowledge structure associating patient cues with risks. Changing knowledge elicitation requirements were accommodated by flexible transformations of XML data using XSLT, which also facilitated generation of multiple data-gathering tools suiting different assessment circumstances and levels of mental-health knowledge. © 2007 Informa UK Ltd All rights reserved.

Guest editors' introduction : diversity and inclusion in different work settings:emerging patterns, challenges, and research agenda

The purpose of this article is to analyze and highlight the developments in the current scholarship on managing diversity and inclusion (D&I) and provide insights for future research. While doing so, the article advances our understanding of “what matters” in this field, through the integration of different literature concerning the dimensions of D&I. It also provides a neo-institutionalist framework, which locates different themes in the D&I scholarship to assist in further development of the field. It argues for a consideration of inquiry in D&I from a neo-institutionalist perspective to encourage interdisciplinarity and align with broader social science research in human resource management (HRM) and development, highlighting the complexity involved in the theorizing of D&I management in organizations. Specifically, we argue for the need to engage with a variety of stakeholders concerned with the management of D&I, to enable cross-fertilization of theories and mixing methods for future research designs. The article also introduces the manuscripts included in this special issue and build on them as well to develop the future research agenda. © 2015 Wiley Periodicals, Inc.

Guest editors’ introduction: is the HRM process important? Past, current, and future challenges

Ten years ago, Bowen and Ostroff (2004) criticized the one-sided focus on the content-based approach, where researchers take into account the inherent virtues (or vices) associated with the content of HR practices to explain performance. They explicitly highlight the role of the psychological processes through which employees attach meaning to HRM. In this first article of the special section entitled “Is the HRM Process Important?” we present an overview of past, current, and future challenges. For past challenges, we attempt to categorize the various research streams that originated from the seminal piece. To outline current challenges, we present the results of a content analysis of the original 15 articles put forward for the special section. In addition, we provide the overview of a caucus focused on this theme that was held at the Academy of Management annual meeting in Boston in 2012. In conclusion, we discuss future challenges relating to the HRM process approach and review the contributions that have been selected—against a competitive field—for this special issue