A Meta-Model for Real-Time Fraud Detection in ERP Systems

Fraud is a worldwide issue affecting almost every organization once in a time. Recent studies have shown that fraudulent behavior impacts up to 5 % of a companies annual revenue. Information systems (IS) have become an integral part of every modern organization. They contain the data foundation of the entire company and thereby supporting business processes and day-to-day transactions. Although an IS usually contains control mechanisms to prevent different kinds of fraud, these mechanisms look insufficient, considering the role of IS in many fraud cases. Since many cases from different companies have shown the need for an appropriate countermeasure, we want to develop an application that efficiently detects fraud and fraudulent behavior. Therefore, we conducted a structured literature review and a qualitative survey to apply the design science research (DSR) methodology and derive requirements for a fraud detection system (FDS). As a result, we present a meta-model for a FDS for enterprise resource planning (ERP) systems. We also provide application requirements, principles, and features that define areas for further research

The impact of brand cohesiveness and sport identification on brand fit in a sponsorship context

This investigation analyzed the effects of sport identification and brand cohesiveness as predictors of brand fit in a unique sponsorship context by examining consumer responses to event sponsorships of the Dew Action Sports Tour. An additional focus of this research endeavor assessed the impact of brand fit on two important consumer behavioral outcomes: attitude toward sponsors and purchase intentions. Data were collected from 552 attendees at the Louisville, Kentucky stop of the Dew Action Sports Tour. The results of the study support our hypotheses that fit impacts attitude toward the sponsor which has a positive influence on consumer's purchase intentions. The examination of influence that brand cohesiveness and sport identification have on fit perceptions extends our theoretical understanding of fit in a sponsorship context as up until now, research in this area has focused almost exclusively on outcomes of fit and not on those variables that might influence fit

Toward a theory of repeat purchase drivers for consumer services

The marketing discipline’s knowledge about the drivers of service customers’ repeat purchase behavior is highly fragmented. This research attempts to overcome that fragmented state of knowledge by making major advances toward a theory of repeat purchase drivers for consumer services. Drawing on means–end theory, the authors develop a hierarchical classification scheme that organizes repeat purchase drivers into an integrative and comprehensive framework. They then identify drivers on the basis of 188 face-to-face laddering interviews in two countries (USA and Germany) and assess the drivers’ importance and interrelations through a national probability sample survey of 618 service customers. In addition to presenting an exhaustive and coherent set of hierarchical repeat-purchase drivers, the authors provide theoretical explanations for how and why drivers relate to one another and to repeat purchase behavior. This research also tests the boundary conditions of the proposed framework by accounting for different service types. In addition to its theoretical contribution, the framework provides companies with specific information about how to manage long-term customer relationships successfully

Electric dipole moments and the search for new physics

Static electric dipole moments of nondegenerate systems probe mass scales for physics beyond the Standard Model well beyond those reached directly at high energy colliders. Discrimination between different physics models, however, requires complementary searches in atomic-molecular-and-optical, nuclear and particle physics. In this report, we discuss the current status and prospects in the near future for a compelling suite of such experiments, along with developments needed in the encompassing theoretical framework.Comment: Contribution to Snowmass 2021; updated with community edits and endorsement

The impact of brand cohesiveness and sport identification on brand fit in a sponsorship context

This investigation analyzed the effects of sport identification and brand cohesiveness as predictors of brand fit in a unique sponsorship context by examining consumer responses to event sponsorships of the Dew Action Sports Tour. An additional focus of this research endeavor assessed the impact of brand fit on two important consumer behavioral outcomes: attitude toward sponsors and purchase intentions. Data were collected from 552 attendees at the Louisville, Kentucky stop of the Dew Action Sports Tour. The results of the study support our hypotheses that fit impacts attitude toward the sponsor which has a positive influence on consumer's purchase intentions. The examination of influence that brand cohesiveness and sport identification have on fit perceptions extends our theoretical understanding of fit in a sponsorship context as up until now, research in this area has focused almost exclusively on outcomes of fit and not on those variables that might influence fit

An Industry-Agnostic Approach for the Prediction of Return Shipments

Return shipments are a major problem in E-commerce not only economically for the companies selling the products, but also for the environment. We introduce a universally applicable Decision Support System (DSS) for the prediction of product returns. Most of the prediction algorithms used in the research were developed on datasets with high return rates and are product feature centric. However, these algorithms work best for fast-moving products with many features that can be found in the fashion industry. We tackle these challenges by using Design Science Research (DSR) to develop a prediction mechanism based on the current shopping cart of a customer. Using a dataset from a German technical wholesale company, we validate and demonstrate our approach. Thus, we identify consumption patterns within fulfillment datasets containing a low product return rate at sufficient accuracy. This allows supplying a broader industry with prediction algorithms that have low return rates

Consumer perceptions of internet retail service quality.

The purpose of this manuscript is to explore consumers\u27 perceptions of Internet retail service quality. This is accomplished via two studies. Study 1 utilizes qualitative depth interviews to identify five dimensions important to consumers in their assessment of the quality of Internet retailers. These are termed performance (how well an online retailer does in terms of meeting expectations regarding order fulfillment), access (Internet retailer\u27s ability to provide a variety of products from anywhere in the world), security (relating to perceptions of trust in the online retailer\u27s integrity regarding financial and privacy issues), sensation (interactive features of the e-retailer\u27s Web site) and information (quantity and credibility of information provider by the online retailer). Study 2 quantifies the five dimensions using multi-item scales, and conducts a survey to assess the reliability and validity (convergent, discriminant, and nomological) of these dimensions. Theoretical and managerial implications of the results are also discussed

Understanding Relationship Marketing Outcomes: An Integration of Relational Benefits and Relationship Quality

The importance of developing and maintaining enduring relationships with customers of service businesses is generally accepted in the marketing literature. A key challenge for researchers is to identify and understand how managerially controlled antecedent variables influence important relationship marketing outcomes (e.g., customer loyalty and word-of-mouth communication). Relational benefits, which have a focus on the benefits consumers receive apart from the core service, and relationship quality, which focuses on the overall nature of the relationship, represent two approaches to understanding customer loyalty and word of mouth. This article integrates these two concepts by positioning customer satisfaction and commitment as relationship quality dimensions that partially mediate the relationship between three relational benefits (confidence benefits, social benefits, and special treatment benefits) and the two outcome variables. The results provide support for the model and indicate that the concepts of customer satisfaction, commitment, confidence benefits, and social benefits serve to significantly contribute to relationship marketing outcomes in services. © 2002, Sage Publications. All rights reserved