Assessing Perceptions of the Integrative Justice Model Propositions: A Critical Step Toward Operationalizing a Macro Model

Propositions underlying the theoretical tenets of the Integrative Justice Model (IJM), a normative, ethical framework for engaging in impoverished markets, are investigated for reliability in application. Santos and Laczniak provide numerous decision principles to help the marketer to evaluate fairness in the marketplace exchange, yet which are most reflective of the core tenets and most useful in application? Managerial perceptions of the extent to which the propositions reflect the core tenets of the IJM are evaluated in this critical step toward operationalizing the model. Factor analysis is implemented with a relatively small sample, a challenge particularly common in research with the impoverished or marginalized, to evaluate the decision principles most reflective of the core tenets, from the perspective of the marketer/manager. Normality is not considered a critical assumption of factor analysis where groups of like variables are clustered into underlying constructs. This work articulates a critical step in macromarketing research methods, exemplifying an approach resilient to micro samples under macro frameworks

Buyer Commitment and Opportunism in the Online Market for IT Services

Companies increasingly outsource IT-related tasks using reverse auction mechanisms embedded into online marketplaces. However, a considerable proportion of auctions at these marketplaces do not result in a contract between buyer and supplier. Extant literature mostly refers to costly bidding and bid evaluation to explain this phenomenon. Another possible explanation is that because of the low entry barriers, buyers with a low commitment to exchange can use the marketplace solely for information gath-ering purposes such as price benchmarking and obtaining free consultations, having little or no intention to contract a supplier. We test this explanation by looking at how different types of costs incurred by the buyer during the sourcing process, are related to the outcome of reverse auctions in terms of contract award. We argue that higher levels of search, preparation and negotiation costs are associated with higher commitment to exchange and find that opportunistic behaviour does indeed play a part in the non-contracted projects, while committed buyers are more likely to enter into a contract with a supplier. The hypotheses are tested on a sample of 2,574 reverse auctions at a leading online marketplace for IT services and further verified across projects of different value and different levels of buyer experience. On the practical side, we recommend setting up entry barriers for buyers with a low level of commitment.IT Outsourcing;Online Markets;Opportunism;Reverse Auctions;Transaction Costs

Types of business-to-business e-marketplaces: The role of a theory-based, domain-specific model

In this study, we seek to further our knowledge of e-marketplaces by exploring empirically the existence of different types of business-to-business e-marketplaces. We used the reference model for electronic markets [Schmid & Lindemann 1998] as the theoretical foundation for a domain-specific model that we used to develop a set of coherent types of e-marketplaces, based on data from 24 German e-marketplaces. Analysis using multi-dimensional scaling identified three types of e-marketplaces that differed on whether they were horizontal or vertical in nature, the services they provide, and whether they erect market barriers. Interestingly, these factors are those that managers can control most readily and that they can therefore vary to produce an e-marketplace tailored to their business. We present a theoretical analysis of our e-marketplace types based in the literature on managerial control. Our theoretical analysis, the three types of e-marketplace we determined, and the domain-specific e-marketplace model we derived to conduct our investigation, provide a foundation for creating a cumulative tradition in e-marketplace research

Semantic discovery and reuse of business process patterns

Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse

The Intellectual Core Of Electronic Commerce Research From 2006 To 2010

The purpose of this paper is to explore the intellectual core of electronic commerce (e-commerce) research. Data was collected from the top six e-commerce journals (Lowry, Romans, & Curtis, 2004), the International Journal of Electronic Commerce, MIS Quarterly, Electronic Market, Journal of MIS, Information Systems Research, Management Sciences from 2006-2010. A total of 1056 electronic commerce related articles and 33036 references were identified. There were 47 high value research articles identified using a citation and co-citation analysis. Using factor analysis we identified five research areas: trust, technology acceptance and technology application, e-commerce task-related application, e-markets, and information systems success. The findings of this study provide core knowledge and directions for researchers and practitioners interested in the electronic commerce field

Trust and Experience in Online Auctions

This paper aims to shed light on the complexities and difficulties in predicting the effects of trust and the experience of online auction participants on bid levels in online auctions. To provide some insights into learning by bidders, a field study was conducted first to examine auction and bidder characteristics from eBay auctions of rare coins. We proposed that such learning is partly because of institutional-based trust. Data were then gathered from 453 participants in an online experiment and survey, and a structural equation model was used to analyze the results. This paper reveals that experience has a nonmonotonic effect on the levels of online auction bids. Contrary to previous research on traditional auctions, as online auction bidders gain more experience, their level of institutional-based trust increases and leads to higher bid levels. Data also show that both a bidder’s selling and bidding experiences increase bid levels, with the selling experience having a somewhat stronger effect. This paper offers an in-depth study that examines the effects of experience and learning and bid levels in online auctions. We postulate this learning is because of institutional-based trust. Although personal trust in sellers has received a significant amount of research attention, this paper addresses an important gap in the literature by focusing on institutional-based trust

Exploring the effects of consumers’ trust : a predictive model for satisfying buyers’ expectations based on sellers’ behaviour in the marketplace

In recent years, Consumer-to-Consumer (C2C) marketplaces have become very popular among Internet users. However, compared to traditional Business-to-Consumer (B2C) stores, most modern C2C marketplaces are reported to be associated with stronger negative sentiments among consumers. These negative sentiments arise from the inability of sellers to meet certain buyers’ expectations and are linked to the low trust relationship among sellers and buyers in C2C marketplaces. The growth of these negative emotions might jeopardize buyers’ decisions to opt for C2C marketplaces in their future purchase intentions. In the present study, we extend the definition of trust as an emotion to cover the digital world and demonstrate the trust model currently used by most online stores. Based on the buyer’s behaviour in the C2C marketplace, we propose a conceptual framework to predict trust between the buyer and the seller. Given that C2C marketplaces are rich sources of data for trust mining and sentiment analysis, we perform text mining on Airbnb to predict the trust level in host descriptions of offered facilities. The data are acquired from the US city of Ashville, Alabama, and Manchester in the UK. The results of the analysis demonstrate that guest negative feedback in reviews are high when the description of the host’s property has the emotion of joy only. By contrast, guest negative sentiments in reviews are at a minimum when the host’s sentiment has mixed emotions (e.g., joy and fear)

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