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This study expands the empirical understanding of financial fraud victims and the consequences that emerge as a result of financial fraud victimization. In addition, this study aims to assess the impact of the unique role victims play in financial fraud and the impact self-identifying as a victim has on the negative consequences they experience.

Data from the Supplemental Fraud Survey to the National Crime Victimization Survey are used to assess the negative consequences of financial fraud victimization.

Results suggest that victims of financial fraud experience increased distress and financial complications following their victimization experience. In addition, self-reported victim status is found to significantly increase a respondent’s likelihood of reporting emotional distress and financial complications. Implications for research, theory and policy are discussed.

While empirical studies on the consequences of identity theft victimization have been increasing in recent years, financial fraud victimization remains understudied. Given the victim involvement in financial fraud, the consideration of financial fraud independent of identity theft fraud is vital.

The purpose of this paper is to study the adoption of balanced scorecard (ABSC) as performance management system (PMS). It also proposes a framework for empirically validating the antecedents and consequences of the ABSC as PMS.

Through the extensive review of BSC literature, the antecedents and consequences factors of BSC adoption as PMS are explored. A conceptual model is derived which hypothesises the relationship between the antecedents and consequences of the ABSC. The data collected by surveying perception of 128 bank employees is empirically tested. Confirmatory factor analysis is used to test the validity of the proposed measurement model, and hypothesised relationships are tested using structural equation modelling.

The findings confirmed the hypothesised conceptual model. They indicate that top management involvement and interdepartmental communication are the two prime antecedent factors which significantly lead to ABSC as PMS. In addition to this, the findings validate a strong causal relationship between ABSC and three consequence factors, namely, employees’ behaviour, organisational capabilities and perceived performance.

The current study broadens the understanding of the notion of BSC as PMS in a considerable manner. It overcomes the inadequacy of the previous studies which failed to explore the antecedents and consequences of ABSC in a comprehensive way. The studies’ key limitation is that it is based on the perception of employees which can be overcome by using multiple methods to collect data in future studies.

The current study makes a significant contribution to the BSC literature. It is a first of its kind study to provide empirical validation to the conceptual model of antecedents and consequences of the ABSC as PMS. The research finding offers key implications for both researchers and practitioners.

The purpose of this paper is to explore and analyse the risks in container shipping operations from a logistics perspective. In the paper, risks associated with the three flows in logistics − information, physical, and payment flow are identified and analysed.

The use of case study method was first explained and justified. Second, risk identification was started with supporting references, several interviews were then conducted to identify and validate the potential risks in container shipping operations. A questionnaire was deployed to collect related data; and the impacts of the risks were then assessed and ranked using the method of risk mapping.

The paper has identified a total of 35 risk factors and classified them into different categories. The paper has also revealed that the risks associated with physical flows have more serious risk impacts than the other types of risks; however, one of the risk factors associated with information flow (shippers hiding cargo information) is the most significant one among all the factors.

Although many studies have been conducted on container shipping operational risks, no studies so far have approached this issue from a perspective that inclusively examines all the possible risks and comprehensively evaluates the relative importance of each of them. This study has identified the risks in container shipping operations, and analysed and ranked the level of these risks. The research further “refines” the findings of some previous studies by placing the risk factors addressed therein in a full “risk picture” which was developed systematically.

Limited funding to maintain and preserve short‐line railroad (SLRR) bridge infrastructure requires that important priority decisions be made on an annual basis. The compartmentalized, dispersed, and diverse nature of many SLRR owners and operators is such that there is a need for a coordinated and centralized effort to evaluate the state‐wide system as a whole, to ensure the most effective overall resource allocation and also identify assets that either outperform predictions or consume disproportionate levels of resources for maintenance and operation, allowing for review of design and construction practices. The purpose of this paper is to examine the state of the art for railroad bridge population management and resource allocation decisions and to develop a state‐wide SLRR bridge prioritization methodology, to be used as a tool by a state agency to assist in allocating limited public funding for bridge maintenance, rehabilitation and replacement activities.

A literature review examining the state of the art of railroad bridge population management and resource allocation decisions was conducted, which provided the foundation for the development of a bridge prioritization algorithm. A state‐wide survey was conducted to develop a bridge database. A detailed evaluation of a statistically significant sample of bridges was conducted, to determine the structural and maintenance needs and preservation status of sub‐populations. The research team developed methodologies, applicable to the entire population, to develop a ranking of bridge preservation candidates.

A risk‐based prioritization algorithm is proposed to assign a relative risk score to each bridge in the population. The algorithm provides a management tool for making more effective maintenance and preservation decisions. Additionally, the bridge database allows managers to examine sub‐populations according to structural parameters to evaluate performance.

The revisable, modular framework of the prioritization algorithm provides a simple, effective and versatile tool for asset management and evaluation. The present proposal of this new prioritization methodology for SLRR bridges is a valuable tool for agencies faced with making rational decisions with limited information. Such a methodology does not currently exist in the literature and is of significant interest to short‐line owners/operators and state transportation agencies.

Cyberloafing is the personal use of internet while at work. The purpose of this paper is to identify the factors affecting cyberloafing between public and private sector organizations.

This study uses the multiple motivational factors with the help of a theoretical paradigm, renowned as theory of interpersonal behavior (TIB). Data were collected through questionnaire to investigate the different behavioral factors between the public and private sector organizations. PLS path modeling and PLS-MGA are used to access the results on SMARTPLS 2.0 software.

Results show that the three factors of habit, intention, and social influences taken from the TIB model are important and have a higher path coefficient in a public sector organization setting. The factors of affect, facilitating condition and perceived consequences from TIB are greater in a private sector organization and have a higher path coefficient. By contrast, in multiple group analysis, results show that some factors are more predictive of cyberloafing behavior in a public sector organization, whereas other factors are more predictive for a private sector organization.

The findings of the current research are beneficial for both organizations and contribute toward policy-making decisions. These results help the managers of public and private sector organizations to decide how to control cyberloafing behavior by focusing on the important factors that lead to it.

This study shows strong and significant differences between the two types of organizations in terms of path coefficient. This implies that cyberloafing factors have different impacts on different organizations. The study fills an important gap in comparing public and private sector organizations with respect to cyberloafing behavior and clarifying which factors are more effective in predicting cyberloafing behavior according to type of organization. The paper is of great value for both kinds of organizations that face cyberloafing behavior issues.

The purpose of this paper is to investigate the prevalence of aggressive behaviour among children and adolescents with intellectual disability (ID) and to demonstrate a possible link with moral judgement.

This study was carried out using two scales on a sample of 60 young people with ID in specialized schools. The first scale was “Behavior Problems Inventory-Short Form” (Rojahn et al., 2012) used to assess the frequency of aggressive behaviour and the second involved several scenarios about social situations of aggressiveness to assess moral judgement.

The main findings indicate that children and adolescents with ID gave more importance to the factor “consequences” than to that of “intent”. Moreover, there was a link between moral judgement and aggressive behaviour. Indeed, aggressive people found it harder to take into account the other’s point of view. Regarding moral judgement, they gave greater importance to the “consequences” factor than non-aggressive people.

The study aimed to establish, for the first time, a link between aggressiveness and moral judgement (blame) in ID (Anderson, 1996). This study clearly provides useful information regarding public health for patients, professionals and families. The authors were able to measure a similar frequency of aggressive behaviour in both children and adolescents with ID. The authors also highlighted a link between these aggressive behaviours and moral judgement. This knowledge should enhance understanding of manifestations of aggressiveness in this population, and improve diagnostic assessment. It should also help define appropriate directions for educational interventions to prevent the onset of aggressive behaviour or delinquency.

This study aims to examine the emotional components of brand hate and the variation of emotions across different levels of brand hate.

Study 1 uses in-depth interviews and data triangulation. Studies 2-5 make use of quantitative methods to test and validate the multidimensional structure of brand hate and the variation of its composing emotions.

Study 1 suggests that brand hate is a multidimensional construct comprised of anger-, sadness- and fear-related emotions; possible antecedents and consequences are discussed. The quantitative results from Studies 2-5 confirm the findings in Study 1. A three-factor scale consisting of nine items is developed. The proposed model is tested among different samples and is compared with the currently available brand hate models. In addition, the findings show that emotions weigh differently for different brand hate levels.

This study contributes to the brand hate literature and provides a structure to understand brand hate more thoroughly.

Companies can benefit from the research through a better knowledge of brand hate. Managers can use the multidimensional measurement to detect brand hate and better cope with it.

This study is among the first few attempts to examine the multidimensionality of brand hate and to investigate the variation of emotions in different brand hate levels. This study contributes to a more precise description of the brand hate construct and improves understanding of consumer-brand relationships.

Transportation project evaluation and prioritization use traditional performance measures including travel time, safety, user costs, economic efficiency and environmental quality. The project impacts in terms of enhancing the infrastructure resilience or mitigating the consequences of infrastructure damage in the event of disaster occurrence are rarely considered in project evaluation. This paper aims to present a methodology to address this issue so that in prioritizing investments, infrastructure with low security can receive the attention they deserve. Second, the methodology can be used for prioritizing candidate investments from a budget that is dedicated specifically to security enhancement.

In defining security as the absence of risk of damage from threats due to inherent structural or functional resilience, this paper uses security-related considerations in investment prioritization, thus introducing robustness in such evaluation. As this leads to an increase in the number of performance criteria in the evaluation, the paper adopts a multi-criteria analysis approach. The paper’s methodology quantifies the overall security level for an infrastructure in terms of the threats it faces, its resilience to damage and the consequences in the event of the infrastructure damage.

The paper demonstrates that it is feasible to develop a security-related measure that can be used as a performance criterion in the evaluation of general transportation projects or projects dedicated specifically toward security improvement. Through a case study, the paper applies the methodology by measuring the risk (and hence, security) of each for multiple infrastructure assets. On the basis of the multiple types of impacts including risk impacts (i.e. increase in security) because of each candidate investment, the paper shows how to prioritize security investments across the multiple infrastructure assets using multi-criteria analysis.

The overall framework consists of the traditional steps in risk management, and the paper’s specific contribution is in the part of the framework that measures the risk. The paper shows how infrastructure security can be quantified and incorporated in the project evaluation process.

Trust plays a crucial role in overcoming uncertainty and reducing risks. Uncovering the trust mechanism in the sharing economy may enable sharing platforms to design more effective marketing strategies. However, existing studies have inconsistent conclusions on the trust mechanism in the sharing economy. Therefore, this study aims to investigate the antecedents and consequences of different dimensions of trust (trust in platform and trust in peers) in the sharing economy.

First, we conducted a meta-analysis of 57 related articles. We tested 13 antecedents of trust in platform (e.g. economic benefits, enjoyment, and information quality) and eight antecedents of trust in peers (e.g. offline service quality and providers’ reputation), as well as their consequences. Then, we conducted subgroup analyses to test the moderating effects of economic development level (Developed vs Developing), gender (Female-dominant vs Male-dominant), platform type (Accommodation vs Transportation), role type (Obtainers vs Providers), and uncertainty avoidance (Strong vs Weak).

The results confirm that all antecedents and consequences significantly affect trust in platform or peers to varying degrees. Moreover, trust in platform greatly enhances trust in peers. Besides, the results of the moderating effect analyses demonstrate the variability of antecedents and consequences of trust under different subgroups.

This paper provides a clear and holistic view of the trust mechanism in the sharing economy from an object-based trust perspective. The findings may offer insights into trust-building in the sharing economy.

The aim is to gain an increased understanding of the factors motivating managers toward internationalizing their firms.

Attribution theory is employed in this study. Building upon the internationalization literature, an attribution model of internationalization is developed. A model of the influence of causal factors (i.e. uniqueness of offering, financial resources and competitive pricing) on a cognitive psychological consequence (i.e. expectations of success) and resulting behavioral consequence (i.e. international success) is examined in a sample of 152 managers of US‐based professional service firms through structural equation modeling.

The results, supporting the proposed model, suggest that attribution theory can provide a new lens through which greater insights into managerial mindsets driving the internationalization process can be gained.

This study provides new theoretical insights for international marketing academics as well as practical advice for those involved in the practice of international marketing.