Peer-to-peer and community-based markets: A comprehensive review

The advent of more proactive consumers, the so-called "prosumers", with production and storage capabilities, is empowering the consumers and bringing new opportunities and challenges to the operation of power systems in a market environment. Recently, a novel proposal for the design and operation of electricity markets has emerged: these so-called peer-to-peer (P2P) electricity markets conceptually allow the prosumers to directly share their electrical energy and investment. Such P2P markets rely on a consumer-centric and bottom-up perspective by giving the opportunity to consumers to freely choose the way they are to source their electric energy. A community can also be formed by prosumers who want to collaborate, or in terms of operational energy management. This paper contributes with an overview of these new P2P markets that starts with the motivation, challenges, market designs moving to the potential future developments in this field, providing recommendations while considering a test-case

Psychological elements explaining the consumer's adoption and use of a website recommendation system: A theoretical framework proposal

The purpose of this paper is to understand, with an emphasis on the psychological perspective of the research problem, the consumer's adoption and use of a certain web site recommendation system as well as the main psychological outcomes involved. The approach takes the form of theoretical modelling. Findings: A conceptual model is proposed and discussed. A total of 20 research propositions are theoretically analyzed and justified. Research limitations/implications: The theoretical discussion developed here is not empirically validated. This represents an opportunity for future research. Practical implications: The ideas extracted from the discussion of the conceptual model should be a help for recommendation systems designers and web site managers, so that they may be more aware, when working with such systems, of the psychological process consumers undergo when interacting with them. In this regard, numerous practical reflections and suggestions are presented

Assessing the Impacts of Crowdsourcing in Logistics and Supply Chain Operations

Crowdsourcing models, whereby firms start to delegate supply chain operations activities to a mass of actors in the marketplace, have grown drastically in recent years. 85% of the top global brands have reported to use crowdsourcing in the last ten year with top names such as Procter & Gamble, Unilever, and Nestle. These emergent business models, however, have remained unexplored in extant SCM literature. Drawing on various theoretical underpinnings, this dissertation aims to investigate and develop a holistic understanding of the importance and impacts of crowdsourcing in SCM from multiple perspectives. Three individual studies implementing a range of methodological approaches (archival data, netnography, and field and scenario-based experiments) are conducted to examine potential impacts of crowdsourcing in different supply chain processes from the customer’s, the crowdsourcing firm’s, and the supply chain partner’s perspectives. Essay 1 employs a mixed method approach to investigate “how, when, and why” crowdsourced delivery may affect customer satisfaction and behavioral intention in online retailing. Essay 2 uses a field experiment to address how the framing of motivation messages could enhance crowdsourced agents’ participation and performance level in crowdsourced inventory audit tasks. Lastly, Essay 3 explores the impact of crowdsourcing activities by the manufacturers on the relationship dynamics within the manufacturer-consumers-retailer triads

Constraint-Based Personalization For Business Applications

This paper reports on extensions of previous work applying personalization techniques and constraint-based methods within an intelligent agent framework.  The Wise Net Inc. has developed an intelligent agent framework specifically for providing advanced scalable collaborative capabilities for easy integration with existing web-enabled enterprise applications.  Since the summer of 2001, the author, his colleagues, and his research assistants, have been conducting applied research aimed at discovering the desired personalization models and effects to support collaborative e-business systems.  Intelligent agents are being developed to implement these personalization effects through constraint-satisfaction methods and solvers.  This paper documents the approach, progress achieved to date, and future directions.  This work is being supported by The Wise Net Inc., the BC Advanced Systems Institute (BC ASI), and the Canadian National Research Council (NRC) through the Industrial Research Assistance Program (IRAP)

Examination of Infomediary Roles in B2C E-Commerce

This article provides a parsimonious research model that assists in the study of infomediary roles in B2C E-Commerce, their level of integration and sophistication, and their impact on infomediary performance and customers’ satisfaction. After an extensive literature review, discovery, facilitation, and support roles were identified as the main roles that infomediaries perform in the B2C e-commerce arena. Based on a sample of 150 infomediaries from three industries namely automobile, retail, and travel, four hypotheses related to the research model were tested. Results suggest that infomediaries with high integration and sophistication level are found in the retail industry. In addition, not all infomediary roles exhibit the same level of integration and sophistication across the three selected industries

Brokerage Platform for Media Content Recommendation

Near real time media content personalisation is nowadays a major challenge involving media content sources, distributors and viewers. This paper describes an approach to seamless recommendation, negotiation and transaction of personalised media content. It adopts an integrated view of the problem by proposing, on the business-to-business (B2B) side, a brokerage platform to negotiate the media items on behalf of the media content distributors and sources, providing viewers, on the business-to-consumer (B2C) side, with a personalised electronic programme guide (EPG) containing the set of recommended items after negotiation. In this setup, when a viewer connects, the distributor looks up and invites sources to negotiate the contents of the viewer personal EPG. The proposed multi-agent brokerage platform is structured in four layers, modelling the registration, service agreement, partner lookup, invitation as well as item recommendation, negotiation and transaction stages of the B2B processes. The recommendation service is a rule-based switch hybrid filter, including six collaborative and two content-based filters. The rule-based system selects, at runtime, the filter(s) to apply as well as the final set of recommendations to present. The filter selection is based on the data available, ranging from the history of items watched to the ratings and/or tags assigned to the items by the viewer. Additionally, this module implements (i) a novel item stereotype to represent newly arrived items, (ii) a standard user stereotype for new users, (iii) a novel passive user tag cloud stereotype for socially passive users, and (iv) a new content-based filter named the collinearity and proximity similarity (CPS). At the end of the paper, we present off-line results and a case study describing how the recommendation service works. The proposed system provides, to our knowledge, an excellent holistic solution to the problem of recommending multimedia contents

Integrating information and knowledge for enterprise innovation

It has widely been accepted that enterprise integration, can be a source of socio-technical and cultural problems within organisations wishing to provide a focussed end-to-end business service. This can cause possible “straitjacketing” of business process architectures, thus suppressing responsive business re-engineering and competitive advantage for some companies. Accordingly, the current typology and emergent forms of Enterprise Resource Planning (ERP) and Enterprise Application Integration (EAI) technologies are set in the context of understanding information and knowledge integration philosophies. As such, key influences and trends in emerging IS integration choices, for end-to-end, cost-effective and flexible knowledge integration, are examined. As touch points across and outside organisations proliferate, via work-flow and relationship management-driven value innovation, aspects of knowledge refinement and knowledge integration pose challenges to maximising the potential of innovation and sustainable success, within enterprises. This is in terms of the increasing propensity for data fragmentation and the lack of effective information management, in the light of information overload. Furthermore, the nature of IS mediation which is inherent within decision making and workflow-based business processes, provides the basis for evaluation of the effects of information and knowledge integration. Hence, the authors propose a conceptual, holistic evaluation framework which encompasses these ideas. It is thus argued that such trends, and their implications regarding enterprise IS integration to engender sustainable competitive advantage, require fundamental re-thinking

Interdependencies and Collaborative Action for Platform Leadership: A Comparative Analysis of Two Leading Chinese Multi-Sided Digital Platforms

Asia continues to lead e-commerce growth worldwide, with multi-sided platforms like Alibaba.com, 360buy.com and Taobao.com leading the race. Despite their rising prominence, few studies articulate how these multi-sided platforms in Asia service and collaborate with it sides. It is important to learn how platforms encounter and adapt to changing suppliers-platform-customers interactions, to better understand the implications of e-commerce necessary to compete and lead in this digitally enabled landscape. Furthermore, scholars suggest research to discern between modernization of Asia and Westernization. To close these gaps, the authors conduct a case study of two of China’s leading multi-sided digital platforms—A.com and M.com. The researchers cross-examine the development of the two firms since their establishing, focusing on collaborative strategies with their sides and within their business units, through interdependencies and collective action conceptual perspectives. The contributions of this paper are two-fold. Firstly, we introduce a framework that identifies four types (I-IV) of multi-sided platform collaborations. This framework prescribes guidelines to identify and manage different types of collaborative action for strategic planning and operations between platform partners. Secondly, we consolidate four lessons learnt from our data—teach, consolidate, co-opete and ultimately lead—a set of actionable guidelines for platform leadership in the marketplace