Search results

The purpose of this paper is to examine the influence of reference data, input address quality, and crime type on completeness and positional accuracy of street geocoded crime events.

Existing data were analyzed using ArcGIS, including crime incident information, street network reference data, and address point and/or parcel reference data. Geocoding completeness was determined by the overall match rate. Positional accuracy was determined by comparing the Euclidian distance between street geocoded locations of crime events to the corresponding address point/parcel geocoded location.

Results indicate that match rates vary by reference data, input address quality, and crime type. Local street centerline files consistently produced match rates that were as good as – and in many cases superior to – other types of reference data, including commercial data. Greater variability in positional accuracy was observed across reference data when crime type and input address quality was considered, but results were consistent with positional accuracy analysis conducted using data from other disciplines.

Results provide researchers and practitioners with valuable guidance and insight into one of the most basic – albeit fundamental – procedures related to the spatio‐temporal analysis of crime, suggesting that reference data required to produce geocoded crime incidents successfully and of high quality does not necessarily mean a large financial investment on the part of law enforcement agencies or researchers interested in the geospatial analysis of crime.

Prior to this investigation, a comprehensive examination of the impact of data quality on geocoded crime events was absent from the literature.

The purpose of this paper is to examine the effects of user-defined parameters settings (e.g. interpolation method, grid cell size, and bandwidth) on the predictive accuracy of crime hotspot maps produced from kernel density estimation (KDE).

The influence of variations in parameter settings on prospective KDE maps is examined across two types of interpersonal violence (e.g. aggravated assault and robbery) and two types of property crime (e.g. commercial burglary and motor vehicle theft).

Results show that interpolation method has a considerable effect on predictive accuracy, grid cell size has little to no effect, and bandwidth as some effect.

The current study advances the knowledge and understanding of prospective hotspot crime mapping as it answers the calls by Chainey et al. (2008) and others to further investigate the methods used to predict crime.

Purpose – The purpose of this paper is to develop a framework which sheds new light on how sustainability control systems (SCS) can be used in proactive strategic responses to corporate sustainability pressures.

Design/Methodology/Approach – Corporate sustainability pressures are identified using insights from institutional theory and the resource-based view of the firm.

Findings – The paper presents an integrated framework showing the corporate sustainability pressures, proactive strategic responses to these pressures, and how organizations might use SCS in their responses to the corporate sustainability pressures they face.

Practical Implications – The proposed framework shows how organizations can use SCS in proactive strategic responses to corporate sustainability pressures.

Originality/Value – The paper suggests that instead of using traditional financial-oriented management control systems, organizations need more focus on emerging SCS as a means of achieving sustainability objectives. In particular, the paper proposes different SCS tools that can be used in proactive strategic responses to sustainability pressures in terms of (i) specifying and communicating sustainability objectives, (ii) monitoring sustainability performance, and (iii) providing motivation by linking sustainability rewards to performance.

In this chapter, we draw on our study involving interviews with Australians who identify as current self-trackers to discuss why and how they monitor themselves. Our approach for analysing self-tracking practices is based on a sociomaterial perspective, viewing enactments of voluntary self-tracking as shifting heterogeneous assemblages, bringing together diverse actors who are both human and non-human. We use vignettes to illustrate the ways in which our participants enacted self-tracking and to identify some of the diverse meanings and motivations that mediate decisions to self-track and resultant uses of the information thus generated. We found that a varied range of self-tracking practices were taken up by our interviewees, including not only digital devices and methods, but also recording their details using pen-and-paper, or simply maintaining mental awareness and using memory. We identified several agential capacities in our participants’ accounts of why and how they monitor themselves. These capacities are interrelated, but can be loosely grouped under the headings of ‘self-improvement’, ‘exerting control’ and ‘identifying patterns and achieving goals’. They are motivators and facilitators of monitoring practices. The broader sociocultural contexts in which monitoring of the body/self is undertaken were also revealed in the participants’ accounts. These include ideas about the moral virtues of self-responsibility and the individual management of life circumstances to avoid chaos and risk, and the notion that monitoring practices can successfully achieve these virtues.

Drawing on close readings of Schatzki and Friedland, this paper explores the nexus of practice, logics, and values, and especially the implications of practice-driven institutionalism for the concept of values and vice versa. In essence, the article searches for values in practice-driven institutionalism and articulates how they might be found, deploying practice theory, institutional logics, and values work as guides. The article’s core argument is that both practice theory and institutional logics ascribe an important conceptual role to values, but neither has developed a theory of values that is wholly compatible with the onto-epistemological commitments of practice-driven institutionalism. The article introduces burgeoning scholarship on values work and argues that this approach offers a bridge between practice theory and institutional theory and, by extension, provides conceptual resources and an important research lacuna for those interested in practice-driven institutionalism.

There is a growing awareness by researchers and practitioners of organizations' ecological responsibilities. Past research in management suggests that it is important to develop ecological sustainability, a long‐missing piece of the sustainability puzzle, together with economic sustainability and social sustainability. However, little research has been conducted to explore how information systems (IS), as one of the defining technologies in human society, can help organizations develop ecological sustainability. The purpose of this paper is to suggest a conceptual model and propositions with regard to the roles of IS in the pursuit of ecological sustainability.

The paper focuses on how organizations are motivated to act in the same legitimate way (i.e. eco‐friendly way) and proposes institutional theory as a lens to better understand how IS can be leveraged to achieve the three milestones of ecological sustainability, i.e. eco‐efficiency, eco‐equity and eco‐effectiveness.

The model advocates that under different institutional pressures, IS can be leveraged to achieve eco‐efficiency, eco‐equity and eco‐effectiveness through automating, informating (up and down) and transforming organizations, respectively. Research limitations/implications – The paper calls for the incorporation of the dimension of natural environment into our framework for future investigation of the IS roles in organizations.

The paper highlights the importance for practitioners to understand the environmental impact of the IS that they design or use, and the roles that IS can play in facilitating the large‐scale learning about ecological sustainability.

The implications of this research for both practice and academia are discussed, with a brief outlook towards future research.

This paper aims to demonstrate how sustainable development education can be implemented at business schools, despite institutional barriers, through innovative and collaborative relationships with internal and external stakeholders. Businesses are beginning to accept their social responsibility through proactive approaches to maximizing their net social contribution, embracing opportunities and managing risks resulting from their economic, environmental and social impacts. Yet, many business schools are lagging in integration of sustainability into their curriculum, and as a result are not adequately educating future business leaders.

This case study presents the challenges in developing and implementing sustainability education, as well as analyzes the various underlying drivers of these barriers. The paper provides a detailed description of some of the ways one business school has overcome these barriers, and provides generalizable insights that can help other business schools and universities understand how they can engage in the implementation of similar sustainable development programs.

As business educators, we should reevaluate our role and our focus. Through education, interdisciplinary collaboration, research and community and industry engagement, sustainability can become firmly established within the existing value structure of business schools.

While many business schools worldwide are discussing the importance of integrating sustainability into their curricula, and while employers and students are demanding the same, few business schools have genuinely made progress in meeting these demands. This paper presents both the challenges to integrating sustainability and an in-depth study of one business school’s approach to creating unique and innovative solutions to overcome these barriers.

Differences in corporate commitments to sustainability have attracted increasing attentions of both researchers and practitioners. However, reasons behind such differences still lack a generic theorization. We propose that one source of these differences lies in the development and application of what we refer to as dynamic capabilities for corporate sustainability within the firm. Drawing on the dynamic capabilities view, the objective of this paper is to examine the fundamental role of dynamic capabilities in corporate sustainable development.

The research developed a framework of dynamic capabilities for corporate sustainability and used the approach of content analysis to verify the framework based on the CSR reports of UK leading companies.

The research demonstrates that the dynamic capabilities for corporate sustainability enable firms to monitor the emerging sustainability needs of various stakeholders, seize sustainable development opportunities from the rapidly changing stakeholders’ expectations, and reconfigure existing functional capabilities for corporate sustainability.

The framework of dynamic capabilities for corporate sustainability developed in this paper may be used by practitioners to better understand firms’ status in the corporate sustainable development, identify areas of improvement, and more effectively overcome emerging sustainability challenges.

This study makes an early attempt to extend the dynamic capabilities perspective to the area of corporate sustainable development.

The large‐scale numerical simulation of fluid flow is described as a discipline within the field of software engineering. As an example of such work, a vortex flowfield is analysed for its essential physical flow features, an appropriate mathematical description is presented (the Euler equations with an artificial viscosity model), a numerical algorithm to solve the mathematical equations is described, and the programming methodology which allows us to attain a very high degree of vectorization on the CYBER 205 is discussed. Four simulated flowfields with vorticity shed from wing edges are computed with up to as many as one million grid points and verify the realism of the simulation model. The computed solutions show all the qualitative features that are expected in these flows. The twisted cranked‐and‐cropped delta case is one where the leading‐edge vortex is highly stretched and unstable, displaying ultimately inviscid large‐scale turbulent‐like phenomena.

This chapter attempts to explain why the community of scholars at Stanford University generated an unparalleled amount of highly influential theory and research on organizations in the last three decades of the 20th century.¹