Search results

The purpose of this study is to present a holistic literature review on crime research in the hospitality and tourism field.

This literature review included 109 crime-related academic papers in seven primary sources, namely, ScienceDirect, EBSCOhost’s hospitality and tourism complete, Emerald Management eJournals, Sage Journals, Google Scholar, Scopus and Web of Science.

From the exploration and synthesis of 109 articles, the following categories of crime research in the hospitality and tourism field emerged as follows: classification of crime research in the hospitality and tourism field; diversity of tourists, crime and risk perceptions; the impacts of crime on the hospitality and tourism industry; and crime control from stakeholders’ papers. In addition, this study advances crime research by proposing six research priorities for future investigation.

Tourism stakeholders are advised to achieve better cooperation in crime control under the guidance of the crime prevention model. High-technology tools are encouraged to be applied to detect and track criminal activities. Meanwhile, diverse applications of the media should be used as useful tools to control criminal activities in the hospitality and tourism industry.

This paper fills a gap by presenting the first comprehensive overview of crime research in the hospitality and tourism field in the past few decades and proposing six priorities for this research stream.

The academic library mission is defined based on the need to support the larger parent university mission. In the case of the urban university, which has been the focus of relatively little discussion and research in the library and information science literature, the research component of the mission potentially influences research agendas as well as the decisions of faculty who choose to teach and do research in such a setting, with a particular focus on “applied scholarship” or research that is community‐focused, considering social problems. Of the urban issues that have shaped the urban university mission, crime is also a key determinant of the resilience of urban areas. The breadth and depth of the research issues related to crime have been well‐documented. The purpose of this paper is to present an analysis of the research findings, indicating the complexity of the research and findings, as well.

The research related to crime ranges from the basic documentation of crime statistics, to the analysis of trends in the data, to attempts to understand why factors as divergent as economic downturns, media coverage, drug use, population reductions, weather or season of the year, and sentencing guidelines impact crime rates. The research also addresses issues, such as the use of DNA and other forensic evidence in crime investigation and juror opinions and the fallibility of eyewitness accounts. The paper presents an overview and analysis of crime‐related research, reflecting the breadth of such research and examples, which indicate the fact that the research is frequently characterized by complexity, often manifested in findings that are inconclusive and conflicting, and rarely reflecting causality. The paper presents an analysis of the research related to crime, intended to be representative, not exhaustive, of a broad range of examples of findings and analyses, across a range of academic disciplines and professions, supported by academic libraries.

The analysis of research related to the causes of increases and reductions in crime, why crime rates vary by city, and a range of other related issues reflects broad interest in enhanced understanding of issues related to crime, among researchers across disciplines, public policymakers and law enforcement, as well as members of the general public. This interest is reflected, not only in the amount of published research, the publication of such research in disciplinary, scholarly sources, but also in the general interest literature, and the growth in research following increases in various types of crimes. The analysis also reflects interest in a number of specific research questions and the extent to which models, such as the broken windows theory, possibly the best known theory of this type, are effective in reducing violent crime. The results of research related to crime indicate the complexity, breadth and interdisciplinarity of the concepts studied by scientists and social scientists, as well as the complexity of research findings, as represented in inconclusive and conflicting findings and difficulty in isolating variables and representing causality.

The analysis of the nature, breadth, complexity, and interdisciplinarity of the research related to crime provides the basis for a more informed approach in considering the role of the urban university library, in particular, in supporting fulfillment of the larger institutional mission.

Detective work is a mainstay of modern law enforcement, but its effectiveness has been much less evaluated than patrol work. To explore what is known about effective investigative practices and to identify evidence gaps, the authors assess the current state of empirical research on investigations.

The authors assess the empirical research about the effectiveness of criminal investigations and detective work in resolving cases and improving clearance rates.

The authors’ analysis of the literature produced 80 studies that focus on seven categories of investigations research, which include the impact that case and situational factors, demographic and neighborhood dynamics, organizational policies and practices, investigative effort, technology, patrol officers and community members have on case resolution. The authors’ assessment shows that evaluation research examining the effectiveness of various investigative activities is rare. However, the broader empirical literature indicates that a combination of organizational policies, investigative effort and certain technologies can be promising in improving investigative outcomes even in cases deemed less solvable.

From an evidence-based perspective, this review emphasizes the need for greater transparency, evaluation and accountability of investigative activities given the resources and importance afforded to criminal investigations.

This review is currently the most up-to-date review of the state of the research on what is known about effective investigative practices.

In 1988, Donald Cressey published a previously overlooked article. According to Cressey, there was a lack in the agenda of corporate crime research concerning theory and conceptual precision of what exactly the scientific object was and how it could reinforce the understanding of white-collar criminality. Cressey stated the idea that a fictitious person, such as a corporation, upon which were bestowed properties such as a will of its own (intentions and motivations) and a consciousness to act morally and ethically have a responsibility to follow the order of law, leds to a fundamental theoretical problem in terms of discovering the causes of crimes committed by such a fictitious person. I follow this line of thought about the arguments made by representatives of corporate crime. Specifically, I follow the concept of “decoupling,” by using various techniques of formal logic. The conclusion is that the concept of corporate crime is a logical contradiction (an eternal false statement), but the research has one analytical point which must be incorporated into the research of white-collar criminality: how structural conditions of a corporation’s policy and strategy “produce” or influence the individuals within the corporation to make decisions. The aim of the paper is to prove on logical grounds that the direction of research on corporate crime is on the wrong track to find the truth (basic elements and mechanisms) about white-collar crime.

Using formal logic, specifically modal logic.

The concept “corporate crime” is a logical contradiction.

Concerning the conclusion, the implications has to be that corporate crime is a misleading concept in the research agenda of white-collar crime.

The authors have to reconsider the whole research field of corporate crime research.

To best of my knowledge, no one has before done a critic of corporate crime concept by formal logic.

The purpose is to theorize and empirically estimate the impact of the gendered nature of the offender-victim dyad and crime type on time to arrest.

Predictions regarding the impact of gendered offender-victim dyads and crime type on time to arrest are constructed by extending role congruity theory and tested using data from the FBI's National Incident-Based Reporting System across five crime types using dyadic-based event history methods.

The authors find strong empirical support that role expectations derived from the gender composition of offender-victim dyads and the masculinity of the crime type affect time to clearance.

This research is the first to theorize and empirically test the relative impact of role congruency and the relational nature of the offender-victim dyad in the adjudication process. Furthermore, the research shows that the construction of “normal crime” can be enhanced by applying a gendered and relational approach, based on social psychological theory, which is predictive of crime clearance.

Future research is required to validate the results for crimes where law enforcement has less discretion and are feminine typed.

The results imply that by accounting for the expectations generated by gender roles when applied to offender-victim dyads a casual mechanism is established that better organizes previously inconsistent results with respect to the impact of gender on time to clearance. Thus, the authors' utilization of role congruity theory of gender provides a more consistent explanation for inequalities in time to clearance that may be fruitful for evaluating other steps in the adjudication process.

This paper aims to examine the effect of managerial ability (MA) on real earnings management and the effect of real earnings management by higher ability managers on future profitability, at a different level of the crime rate.

The research sample includes 864 manufacturing firms-years listed on the Indonesian Stock Exchange. MA uses an efficiency score by data envelopment analysis. Real earnings management is measured by abnormal activities. The crime rate is measured by logarithm natural of the number of crimes per 100.000 citizens in the region where the firm is headquartered. Data analysis uses fixed-effect regression.

MA increases real earnings management in the region where the firm is headquartered with a higher crime rate while MA will reduce real earnings management in the region where the firm is headquartered with a lower crime rate. Also, real earnings management by higher-ability managers gives a signal of better future profitability in the region where the firm is headquartered with a lower crime rate.

This research contributes to filling the previous gap of managerial characteristics ability-related on real earnings management by providing regional crime rate as a determinant factor of managers’ ethical behavior. This research is the first one to considers the regional crime rate treatment to the relationship between MA and real earnings management especially in Indonesia. This research also provides new evidence of efficient real earnings management for a lower crime rate group of samples to give a signal of better future profitability.

The purpose of this paper is to examine differential perceptions of neighborhood problems by the police and residents.

This study uses interview and survey data collected from 50 neighborhoods a mid‐western city to assess whether police officers and citizens differ in their perceptions of neighborhood disorder, drug‐gang, and property crime problems. Multivariate regressions were conducted to examine the effects of neighborhood structural characteristics, social organization, perceptions of the legitimacy of local authorities, and actual crime rates on police's and citizens' perceptions of neighborhood problems.

Police officers rate neighborhood problems more seriously than do local residents. Neighborhood structural characteristics and perceptions of the legitimacy of local authorities significantly affect variation in perceptions of neighborhood problems by citizens and police. Actual property crime rates influence police perceptions of disorder and property crime problems.

Future research should continue to explore the factors that contribute to perceptual differences between citizens and police officers. Research should also pay more attention to variables such as informal control, social capital, and collective efficacy. More research efforts should be devoted to explore how variation in officers' perceptions of neighborhood problems affects their behavior toward local residents.

The study incorporates neighborhood contexts in its analysis and tests both officers' and citizens' perceptions of neighborhood problems simultaneously, which have rarely been done in previous research.

Because that the crime in a wide way impacts the life of the people in the big metropolis, researchers have treated the question from several angles. The purpose of the paper, under the umbrella of operational research, is to develop a model of the ordering of police strategies, in the fight against crime in general, according to a certain criminal demand.

For the construction of the impact matrix of the strategies under the reduction of crime rates, considering a portfolio of crimes, a questionnaire applied to specialists was used. In a second moment, defined the criteria and strategies to be ordered, the multicriteria ELECTRE IV method was used, which with the help of the J-Electre software emulated the systematized data in the impact matrix and produced the final ordering of the most efficient strategies, in the fight against crime, in the perception of decision-makers.

As a result, the research revealed that policing strategies directed at solving specific crimes are the most effective in the perception of decision-makers after the emulation of data with the ELECTRE IV method.

As research implications, it can be inferred that the use of multicriteria methods in the modeling of problems in the area of public security can contribute to rationalization of the use of the means available in the fight against crime in large cities. The research showed that it is possible to use customized policing strategies to a certain reality.

The method presented in this research is directly related to the major strategies: problem-oriented policing and hot spot policing. This method allows public safety managers to consider the possibility of combining different law enforcement strategies in each context. In this sense, the use of the multiple-criteria decision analysis (MCDA) (ELECTRE IV) method allows the evaluation of a large set of alternatives according to a set of established criteria, speeding up the process and reducing subjectivity, allowing the manager to analyze several scenarios with greater clarity and impartiality and choosing an alternative that best solves the proposed problem. The expected result is the rationalization of the available means applied in the search for the reduction of crime rates.

The customization of policing strategies, according to criminal demands, implies the efficient way to reduce criminal charges. Reducing criminal rates enables the development of the local economy, tourism and the quality of life of people by exercising their freedom to the full.

The originality lies in filling a gap in the literature with the elaboration of the impact matrix of policing strategies in reducing criminal indices, and in their associated use in ordering strategies through a multicriteria method.

The purpose of this study was to explore human factors as the possible facilitator of cyber-dependent (hacking and malware infection) and cyber-enabled (phishing) crimes victimisation and to test the applicability of lifestyle routine activities theory (LRAT) to cybercrime victimisation.

A mixed methods research paradigm was applied to address the research questions and aims. The data set of Crime Survey of England and Wales (CSEW) 2014/2015 and 42 semi-structured interviews conducted with victims of cybercrime and non-victim control group participants were analysed via binary logistic regression and content analyses methods.

This research illustrated that Internet users facilitated their victimisation through their online activities. Additionally, using insecure Internet connections and public access computers emerged as risk factors for both cyber-enabled and cyber-dependent crime victimisation. Voluntary and involuntary personal information disclosure through social networking sites and online advertisement websites increased the likelihood of being a target of phishing. Deviant online activities such as free streaming or peer-to-peer sharing emerged to increase the risk of cyber-dependent crime victimisation.

The binary logistic regression analysis results suggested LRAT as a more suitable theoretical framework for cyber-dependent crime victimisation. Future research may test this result with models including more macro variables.

Policymakers may consider implementing regulations regarding limiting the type of information required to login to free Wi-Fi connections. Checking trust signs and green padlocks may be effective safeguarding measures to lessen the adverse impacts of impulsive buying.

This study empirically illustrated that, besides individual-level factors, macro-level factors such as electronic devices being utilised to access the Internet and data breaches of large companies also increased the likelihood of becoming the victim of cyber-enabled and cyber-dependent crime.