On the Simulation of Global Reputation Systems

Reputation systems evolve as a mechanism to build trust in virtual communities. In this paper we evaluate different metrics for computing reputation in multi-agent systems. We present a formal model for describing metrics in reputation systems and show how different well-known global reputation metrics are expressed by it. Based on the model a generic simulation framework for reputation metrics was implemented. We used our simulation framework to compare different global reputation systems to find their strengths and weaknesses. The strength of a metric is measured by its resistance against different threat-models, i.e. different types of hostile agents. Based on our results we propose a new metric for reputation systems.Reputation System, Trust, Formalization, Simulation

Trust in the Sharing Economy: An Experimental Framework

Peer-to-peer platforms in the realm of the sharing economy, such as Airbnb or BlaBlaCar, have heavily rattled the electronic commerce landscape and are expected to further impact consumer behavior in the future. While trust between the parties involved is of utmost importance in such platform economies, experimental research on this aspect is scarce. In this conceptual paper, we first present an experimental framework for targeting trust in the sharing economy based on experimental economics and the trust game in particular. In doing so, we sketch out a path to complement existing Information Systems research on the sharing economy by experimental methods. Second, we apply the framework to a specific use case, by developing a research model and experimental design to explore the role of user representation for trust on sharing economy platforms. We therefore set the stage for controlled (laboratory) experiments to enrich research on trust in the sharing economy

In crowdfunding we trust : a trust-building model in lending crowdfunding

Trust critically affects the perceived probability of receiving expected returns on investment. Crowdfunding differs in many ways from traditional forms of investing. We have to ask what builds trust in this particular context. Based on literature regarding the formation of initial trust, we developed a model to explain which factors lead to crowdfunders’ trust in a crowdfunding project. We tested it on data collected from actual investors in a real project on a crowdlending platform. Our results show that trust in the crowdfunding platform and the information quality are more important factors of project trust than trust in the creator

Toward an Understanding of Online Lending Intentions: Evidence from a Survey in China

The online peer-to-peer lending marketplace has experienced rapid growth since its inception in 2005. It has played a significant role in helping small and micro-enterprises resolve financing problems. However, this marketplace is still in its infant stage. To better understand the lending activities associated with peer-to-peer lending, we need theoretically grounded empirical research. In this study, we investigate the perceptual drivers of online lending from the perspective of lenders. We empirically test our research model with survey data collected from 217 lenders in a major online peer-to-peer lending website in China. Our results reveal that trust was the most critical determinant of willingness to lend. Perceived information quality was important in mitigating perceived risk and enhancing trust, and perceived social capital impacted trust in borrowers. Furthermore, perceived risk did not significantly influence lending willingness, but had a negative impact on trust. These findings indicate that transaction behaviors in the peer-to-peer market may not be the same as that in the purchase-oriented e-commerce settings. We conclude by discussing the study’s implications for research and practice along with the its limitations

Security and Privacy Issues in Cloud Computing

Cloud computing transforming the way of information technology (IT) for consuming and managing, promising improving cost efficiencies, accelerate innovations, faster time-to-market and the ability to scale applications on demand (Leighton, 2009). According to Gartner, while the hype grew ex-ponentially during 2008 and continued since, it is clear that there is a major shift towards the cloud computing model and that the benefits may be substantial (Gartner Hype-Cycle, 2012). However, as the shape of the cloud computing is emerging and developing rapidly both conceptually and in reality, the legal/contractual, economic, service quality, interoperability, security and privacy issues still pose significant challenges. In this chapter, we describe various service and deployment models of cloud computing and identify major challenges. In particular, we discuss three critical challenges: regulatory, security and privacy issues in cloud computing. Some solutions to mitigate these challenges are also proposed along with a brief presentation on the future trends in cloud computing deployment

Users' trust in information resources in the Web environment: a status report

This study has three aims; to provide an overview of the ways in which trust is either assessed or asserted in relation to the use and provision of resources in the Web environment for research and learning; to assess what solutions might be worth further investigation and whether establishing ways to assert trust in academic information resources could assist the development of information literacy; to help increase understanding of how perceptions of trust influence the behaviour of information users

Probabilistic assessment of financial risk in e-business associations

Business activities are a result of carefully formed associations between different users in order to achieve certain pre-decided outcomes. Decision-making in such associations is an important step and transactional risk analysis is one of the integral processes that facilitates this step. This paper presents an approach that determines the negative consequences (termed as financial risk) of forming e-business associations. Unlike other approaches, our model captures the different types of events and their uncertainties to determine the financial risk by using the convolution operator and expressing it as a probabilistic measure rather than as a crisp financial value. Such representation makes sense as the financial risk may be determined at a point of time in future where nothing is certain. Depending upon the complexity of the problem, we explain the different ways of using the convolution operator to determine the financial risk. The simulation result shows a better representation and understanding of the financial risk that will provide important inputs to the transactional risk analysis and the decision-making process

Website design features: Exploring how social cues present in the online environment may impact risk taking

The nature of the online environment makes it difficult for individuals to verify their safety and to identify latent risks in online activities. This limits website users' ability to take appropriate security precautions. Websites use various features and functions supported by computer‐based media technologies to communicate and interact with users to achieve business success. Most website features research has previously focused solely on e‐commerce websites, leaving a knowledge gap in terms of website feature design and its impact in a broader context. An investigation applying a descriptive auditing method was undertaken on 50 Australian‐based websites from 10 categories to identify social cues presented to users. A website feature strategic emphasis framework was applied. Results generated a list of 48 unique features with social cues and highlighted their usage, which may influence decision‐making across website categories. Without comprehensive user protection for these design features, website visitors may not be aware of potential consequences. This research enriches understanding of potential features with social cues that may influence decision‐making and provides a foundation for online environment feature design regulation. Through identifying potential social and environmental cues in website features, this study will guide future studies in assessing websites' impact on online risk‐taking behavior and further contribute to online risk‐taking prevention.This work was supported by an Australian Research Council Discovery Early Career Research Award (DE1060100459) awarded to S.G