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Case linkage theory and practice have received growing empirical support; however, they have yet to be examined fully within Australia. For sexual assault case linkage to be successful, it is assumed that a serial rapist will behave relatively consistently across offences yet distinctively compared to other offenders. The purpose of this paper is to test the underlying principles of case linkage, behavioural consistency and distinctiveness, as well as distinguishing accuracy.

In total, 250 solved stranger rapes by 171 offenders (46 serial rapists, 125 one-off rapists) were taken from Queensland Police Service (QPS) crime records. All possible crime pairings were created and cross-crime similarity was assessed using Jaccard’s coefficient. Receiver operating characteristics (ROC) analysis was used to examine the ability to distinguish between linked and unlinked offence pairs.

Serial linked pairs had the highest Jaccard’s coefficient (0.456), followed by non-serial unlinked (0.253) and finally, serial unlinked pairs (0.247). Within the ROC analysis, an area under the curve value was found of 0.913, indicating excellent distinguishing accuracy. Both the underlying principles of behavioural consistency and distinctiveness were supported through theoretical and practical methods. This paper provides the first analysis of serial rape case linkage in Australia, adding validity to this practice.

The authors wish to acknowledge the support and assistance from the QPS in undertaking this research. The views expressed in this publication are not necessarily those of the QPS and any errors of omission or commission are the responsibility of the authors.

This paper provides validity to the practice of case linkage using a database within Australia. The results of this paper can be used to inform investigators of serial offender behaviours. The theories of offender consistency and distinctiveness are supported, highlighting the importance of behavioural evidence for practitioners. This paper provided a practical increase of the quantity and quality of offences uploaded on the Australian violent and sexual crimes database, which will assist further linkage efforts.

This paper is the first in Australia to examine consistency, distinctiveness and case linkage of serial stranger rape. Thus is contributes significantly not only to an increased understanding of serial rape and case linkage in Australia but also brings Australia closer to modern research practices in this field.

The purpose of this paper is to demonstrate that higher tariffs under protectionism will have significant indirect impact through industrial forward and backward linkages, causing greater economic losses to tariff-imposing economies than to exporting countries.

The authors use partial equilibrium analysis based on unique multi-regional input-output (IO) data in measuring the second-round spillover effects of higher tariffs, also investigating the scenario of plausible substitutability across import sources as well as sectors based on historical import intensity data.

Higher tariffs do not only have a direct impact, but also a significant indirect impact—through forward and backward linkages. Indirect effects can be extensive across economies and sectors—both in forward and backward linkages such as in transport—when value chains are longer and more complex. When possible substitution effects between different import sources and sectors are considered, negative forward linkage effects can be smaller, while negative backward linkage effects become more pronounced. Nevertheless, both negative effects are still found to be much bigger in indirect impacts compared with direct impacts.

This implies that higher tariffs, including administrative trade measures such as anti-dumping duties and countervailing duties could ironically entail rather greater negative impact on the tariff-imposing importing economies by damaging their exports of domestic sectors using the targeted imports as intermediate inputs, which could be severe if the importing sector has a long value chain in particular through deep forward linkages.

This paper uses unique multi-regional IO data covering 45 economies’ 35 sectors in analyzing the second-round spillover effects across countries and sectors and employs comparative statics under different scenarios.

The purpose of the paper is to investigate the nature of linkages between characteristics of a service and customer consequences and elicit the types of such linkages.

The paper builds on current research on linkages and customer consequences within the means‐end approach and on a qualitative case study in the context of website use in business‐to‐business relationships.

The paper introduces six types of linkages between characteristics of a service and customer consequences: common and unique, conflicting and non‐conflicting, and homogenous and heterogeneous linkages.

The paper portrays four cases of implications of the linkages for simplicity and homogeneity of the design of services and of their marketing strategies.

The ways in which characteristics of a service are linked with customer consequences of an engagement with the service are of crucial importance in marketing. Despite the importance, research on linkages is scarce. By considering currently neglected aspects such as different units of analysis, different relationships between characteristics and customer consequences, and diversity in characteristics and consequences, the paper introduces new types of linkages. It also depicts the relevance of the knowledge of the linkages for portraying customer value fully.

The purpose of this paper is to understand (i) how crime linkage is currently performed with residential burglaries in New Zealand, (ii) the factors that promote/hinder accurate crime linkage and (iii)whether computerised decision-support tools might assist crime linkage practice.

A total of 39 New Zealand Police staff completed a questionnaire/interview/focus group relating to the process, challenges, products and uses of crime linkage with residential burglary in New Zealand. These data (alongside four redacted crime linkage reports) were subjected to thematic analysis.

The data clearly indicated wide variation in crime linkage process, methods and products (Theme 1). Furthermore, a number of factors were identified that impacted on crime linkage practice (Theme 2).

Future research should develop computerised crime linkage decision-support tools and evaluate their ability to enhance crime linkage practice. Also, researchers should explore the use of crime linkage in court proceedings.

To overcome the barriers identified in the current study, greater training in and understanding of crime linkage is needed. Moreover, efforts to enhance the quality of crime data recorded by the police will only serve to enhance crime linkage practice.

By enhancing crime linkage practice, opportunities to reduce crime, protect the public and deliver justice for victims will be maximised.

The practice of crime linkage is under-researched, which makes it difficult to determine if/how existing empirical research can be used to support ongoing police investigations. The current project fills that gap by providing a national overview of crime linkage practice in New Zealand, a country where crime linkage is regularly conducted by the police, but no published linkage research exists.

The purpose of this paper is to analyze the importance of the linkage between academia and industry from a business perspective. The analysis focuses on the impact generated from these collaboration programs to promote innovation. Data for the analysis was obtained through a measurement instrument, which allows evaluating multiple dimensions of capacity of absorption as determinants of the innovation.

The methodology consisted of the implementation of the measurement instrument for the managers in the companies who were involved in the collaborative projects. From the answers obtained, an analysis of strengths and weaknesses was performed, categorized by absorptive capacity dimensions, satisfaction with linkage relationship and innovative impact. In addition, a comparative exercise is presented with the purpose of learning the position of the Postgraduate Program in Industrial Engineering in México, and finally, an analysis of Spearman’s coefficient was performed to verify whether the linkage influenced innovation for this case study.

There is a positive correlation between linkage and innovation. An unexpected finding was the level of satisfaction of the companies that collaborated with the academy and the real situation of each dimension to determine the improvements in the policies and mechanisms of linkage.

One of the main challenges of this paper was to identify and contact the managers of the projects. These projects have been performed and completed in several companies from 2011 to date. Over this time, some managers have changed their employment status and even their places of residence. Therefore, establishing contact and performing interviews with the managers directly linked to each project was a complex process.

This is the first paper that demonstrates and measures the relationship between linkage and innovation through an instrument of absorptive capacity, which determines the behavior of each dimension where strengths and weaknesses of collaboration relationships are detected and determines the punctual impact on innovation from the perspective of the businessmen involved.

The Violent Crime Linkage Analysis System (ViCLAS) is a computerised database which is used by law enforcement in several countries to find potential links between serial violent crimes. In 2012, Bennell, Snook, MacDonald, House and Taylor identified a number of assumptions that must be valid for these computerised systems to be effective.

This paper revisits and expands on these assumptions with specific reference to the use of ViCLAS, looking at research that has been conducted since this 2012 review and outlining where research is still outstanding.

The importance of evaluating ViCLAS is highlighted in this paper.

Particularly, the research agenda highlights how the practice of comparative case analysis when using ViCLAS could be improved.

To the best of the authors’ knowledge, this is the first review of the research dedicated specifically to the evaluation of ViCLAS.

The purpose of this article is to develop a conceptual model addressing how environmental uncertainty resulting from disruptive technology affects an internal corporate venture's organization.

Based upon a review of two complementary theoretical perspectives – resource dependence theory and institutional theory, propositions regarding internal and external linkages and the internal organizational governance mechanisms of organizational structure and strategic control systems of ICVs are developed.

Resource dependence theory and institutional theory are both necessary to explain the organizational issues resulting from the uncertainty surrounding disruptive technology. Research limitations/implications – A limitation is that this is a theoretical paper; empirical research is needed to test the theories presented in this paper.

To the extent that managers can be trained to recognize and understand the complexities of disruptive technology, their likelihood of appropriate organizational responses will be enhanced.

The paper presents a conceptual model of how to successfully manage an internal corporate venture in a disruptive technology environment.

The goal of this paper is to develop a conceptual framework to understand the processes by which rural communities are using commons‐based social enterprises to engage global actors and forge local places.

The paper uses a four‐step conceptualization of commons‐based social enterprises within a complex world: deal with communities as complex systems embedded in larger complex systems, understand cross‐scale linkages between communities and other levels of organization, identify drivers of change, and build adaptive capacity to increase the resilience of communities in the face of globalization. The paper draws upon an international set of cases undertaken by the Centre for Community‐based Resource Management to illustrate each step.

Social enterprises are one means by which rural communities are negotiating with global actors through recent processes of globalization. The social enterprise provides a mechanism for rural people to secure tenure for common‐pool resources and allows them to make direct decisions regarding their management.

To further develop the understanding of commons‐based social enterprises will require further integration of theory regarding commons and social enterprises.

States and development agencies lack enabling policies for commons‐based social enterprises that support the multiple goal strategies of rural communities for natural resources.

Commons and social enterprise literature have tended to exist in separate domains and this paper makes a first step toward their integration.

Community benefits agreements (CBAs) redistribute the benefits of new development to distressed communities and historically disenfranchised groups. They allow coalitions of labor and grassroots organizations to negotiate for concessions in the development process. Yet, CBAs are a relatively new tool used in planning and local economic development, and specification about their content and scope is evolving. Some of the earliest CBAs were negotiated in cities experiencing an influx of new growth and investment. However, less is known about the scope of CBA negotiations in shrinking cities where economic development is relatively anemic. The paper aims to discuss these issues.

This paper offers an extension to the existing literature through an exploratory analysis of the scope of CBAs in the ten fastest shrinking cities in the USA between 2000 and 2010. The analysis is organized in three parts. First, the authors present a CBA typology that differentiates among CBAs negotiated with developers in the public, private and nonprofit sectors. Second, the authors compare neighborhood conditions in shrinking cities with CBAs to those without negotiated agreements. Finally, the authors discuss critical cases where CBA negotiations have occurred in shrinking cities.

Grassroots coalitions have more leverage when negotiating for concessions with private sector developers vs developers from the public and nonprofit sectors. The added leverage is attributed to the high profile and limited public benefits associated with projects pursued by private sector developers. Moreover, shrinking cities face additional obstacles when negotiating CBAs. The authors concluded that cities with the highest levels of physical distress are the least likely to negotiate and adopt CBAs.

This paper contributes to the literature by focusing on CBAs in shrinking cities. It also highlights nuisances in CBA negotiations with developers from the private, public and nonprofit sectors. Although the analysis focused on the US context, the inclusion of these perspectives in the CBA typology provides researchers in other institutional settings with a common framework for comparative analysis.

The purpose of this paper is to identify the determinants of China’s rural households’ non-farm participation. The authors pay special attention to the effect of potential income differential on this participation.

The data used in this study come from a household survey conducted in Hubei Province. The authors estimate participation equation and income equation, respectively, then introduce potential income differential simulated in participation equation to examine its effect on non-farm participation.

Potential income differential serves as the major pull factor that favors non-farm participation. Education, proximity to a city and specialized commercial farming are crucial in helping rural households to participate in non-farm production; while the land shortage or the labor surplus act as the push factor in non-farm participation. Better quality of land reduces the household’s propensity to participate in non-farm activities. Moreover, the income gap between households that participate in non-farm activities and pure farmers is mainly determined by the differences in household characteristics.

The authors use the method of “switching regression and structural probit” to examine the impact of potential income differential on non-farm participation, and simulate the response of the participation probability to the change of potential income differential. The authors also analyze the sources of income gap between non-farm and farm households using Oaxaca decomposition.