Search results

Business victimization is a serious and pervasive issue within the USA. According to recent estimates, roughly 2,058,194 businesses are victimized each year. Of those, approximately 33 percent of business victimization cases are solved. Taken together, it is important for research to examine factors that influence business victimization clearance. The purpose of this paper is to examine how broken windows enforcement, social disorganization, community and police organizational factors influence business robbery clearance using data from Houston, Texas over a two-year period from 2010 to 2012.

Using a hierarchical linear modeling strategy, the current study found no effect of broken windows tactics, social disorganization elements and various organizational, and community characteristics on business robbery clearance.

Significant effects were found for a number of incident and offense characteristics including gang involvement, business type, type of weapon used in the crime, the number of business entities in an area, and racial populous.

To date, few studies have examined factors that influence clearance rates for business robberies. Thus, the current study adds to and extends upon the literature in theoretically relevant ways by exploring how broken windows policing, social disorganization and various community/police organizational variables influence business robbery clearances in a large city.

The purpose of this paper is to analyze the design and implementation of the police crackdown strategy employed in Mexico City and to discuss its limitations toward a medium-to-long-term reduction of crime rates for six types of robberies.

The present work employs generalized autoregressive conditional heteroscedasticity (GARCH) models to estimate the effect of police operations on the volatility of the rates of six types of robberies in Mexico City, as well as their persistence over time.

Results suggest that the concentration of policing in certain high-criminality spaces reduces crime rates in the immediate term; however, its permanence is contingent on policing design and behavioral characteristics of the targeted crime. Specifically, the Mexico City police crackdown strategy seems to be better suited for combating crimes of a “non-static” nature than those of a “static” nature.

Due to the nature of the data used for this research, the performed analysis does not enable a precise determination of whether the crime rates respond to temporal or spatial displacement.

Considering the obtained results, a re-design of Mexico City’s police crackdown strategy is suggested for the sustained reduction of the number of reported cases of robberies of a static nature.

Despite their importance, few studies have measured the impact of police crackdowns on city-level crime rates and whether their effect is temporary or permanent. The present study proposes the use of GARCH models in order to integrate the study of this phenomenon into criminal time series models.

There has been a widespread move in England’s city centres to a business crime reduction partnership (BCRP) model that welcomes businesses from all commercial sectors and that operate during day time and night time trading hours, and that seeks to tackle a broad range of crimes and associated behaviours. The purpose of this paper is to consider whether this new holistic approach offers benefits that narrower models do not.

This study draws upon data from a multi-year examination of the Gloucester City Safe BCRP, including quantitative analysis of 4,523 offences recorded by the partnership and qualitative analysis of 149 interviews with its members.

In Gloucester there was a small minority of offenders who commit offences against more than one type of business, who offend during both the day time and night time trading hours and who commit more than one type of offence. There is value, therefore, in partnerships bringing together businesses from different commercial sectors and that operate in the day and night time economies to coordinate their efforts to tackle such activity.

Sharing information among partnership members via e-mail and secure web-based platforms helps raise awareness concerning offenders and the offences that they commit which in turn can be used to prevent offences from occurring.

This inclusive holistic BCRP model can lead to an increased sense of community cohesion for its members arising from the collective effort of multiple types of businesses.

The authors are not aware of other studies that have considered these issues.

The study explores experiences of African immigrants in their self-employment journey. South Africa has been receiving many African immigrants seeking for socio-economic survival. This presents a gap to understand the self-employment journey of such immigrants post-settlement.

A qualitative inquiry is used with semi-structured interviews using a sample of African immigrants based in South Africa. Narrative enquiry was utilised in trying to understand the African immigrant self-employment journey.

The findings show strategies used by African immigrant entrepreneurs in their self-employment journey. These include immigrant relying on established relationships to respond to contextual challenges. Further, immigrant entrepreneurs turned to borrowing from family, including personal savings and using fronts as a capital generation strategy.

Based on the findings strategies are suggested as a useful precursor in advancing understanding of the African immigrant self-employment journey. This becomes useful especially considering ideals for assisting post-settlement of migrants.

This paper aims to identify the barriers that are linked to the institutional, external and social environmental factors in the emerging economies of South-East Asia (SEA). Through a comparative analysis of China, India and Pakistan, this study attempts to understand the constraints that might inhibit small and medium-sized enterprises (SMEs) in this region from becoming more successful.

This study proposes an empirical research framework to identify the constraints to determinants of SMEs’ growth (the CDSG model) in an important geographic and industrial cluster of SEA countries including China, India and Pakistan. Six propositions are tested, using data from 1,443 SMEs obtained from Enterprise Survey Data Repository database from the World Bank. Ordinary least-squares estimation is applied for statistical analyses and testing of the research propositions.

The results show the differential effects of the proposed CDSG model in China, India and Pakistan. Access to external finance is found to be irrelevant to the growth of SMEs in China, while it has a positive influence in India and Pakistan. Furthermore, in terms of the innovation process, partial mediation is traced. Using the tax rate factor, negative mediation is found between CDSG variables and SMEs’ growth. Both mediators play different roles in firm growth activities, while the level of significance of some variables is found to be more relevant to a specific region rather than to all.

The prudent management of the proposed CDSG variables could revolutionize the constraints facing SME growth, making them into success factors. This could invigorate the growth of SMEs’ in SEA countries. The paper concludes with practical implications for policymakers and investors.

This SMEs’ theoretical framework is the first to use innovation and tax rate mediators to highlight the determinants of business growth in three SEA regional economies (China, India and Pakistan).

This paper aims to quantify characteristics of areas that experienced rioting across the UK in August 2011. Through exploring the areas where riots occurred, and those that did not have any problems, variables and factors that may have contributed to a geographical area experiencing rioting can begin to be identified. Through doing so, it is hoped that local authorities can be better prepared to deal with potential similar situations in the future.

National indicator data were collated for all local authority areas across England. After a literature review, and preliminary analysis, a set of indicators that the authors thought could be potential factors were identified. Using these indicators as input variables logistic regression was completed, with the target variable defined as whether or not the local authority had experienced any rioting (target variable was binary categorical – Yes/No).

A logistic regression equation was produced that gave a risk score to each local authority area. Using an ROC Curve an optimum cut off point was created. Anything over this cut off point was deemed to be vulnerable to rioting. The overall accuracy of the model was 88.4 per cent. The positive predictive value was 97.2 per cent and the negative predictive value was 42.9 per cent. Predictor variables included in the model were: existing acquisitive crime rates; unemployment deprivation; and education/level 4 attainment.

Due to the short turnaround time of producing this insight, only limited data are available to build a model on. The paper focuses on characteristics of the geographical areas where rioting occurred, rather than the traits of the culprits themselves. Since completing the paper, more information has become available.

With key predictor variables identified, it is possible to look at areas that are a potential risk. The false positives and false negatives (local authority areas that did not behave as the model suggested) also pose interesting questions. Why did rioting not occur in certain areas that showed the same characteristics as those that experienced rioting?

Where a riot risk is noted as high, local public services may consider any actions that could be taken to tackle the risk and can use this information to justify continued resources in that area.

Many discussions were had in the months that followed the August riots. These discussions tended to focus on the perpetrators and not the areas that are analysed in this paper.

This chapter deals with the process perspective of entrepreneurship, that is, what prospective entrepreneurs should do and how they do it (the processes they use) to launch a new venture in the tourism field. The main purpose of this chapter is to explain what the entrepreneurial process is, the steps/phases to transit from idea to enterprise and the risks involved.

General review was conducted on conceptual issues and managerial aspects of the entrepreneurial process and legal issues.

This chapter highlights that the entrepreneurial process undergone by entrepreneurs is dual in nature, both in terms of action and thinking process. Given that the failure rate of new ventures is high, there is a need to focus on the importance of understanding the dynamics of entrepreneurship, the action process of the prospective entrepreneur and the potential risk impact.

This chapter is explorative in nature because the discussion is based on a general review.

Prospective entrepreneurs should follow specific steps, a rational process to establish their business venture and to protect its operations against any event. Thus, any new business should manage risks appropriately, as well as record insurance to cover for unforeseen events.

This chapter provides an overview of the entrepreneurial process and legal risk issues that may affect the success of a new venture. The hands-on approach is particularly useful in dealing with the entrepreneurial mind when exploring new business ventures in the tourism field.