Conceptualizing a Multi-Sided Platform for Cloud Computing Resource Trading

Cost-effective and responsible use of cloud computing resources (CCR) is on the business agenda of companies of all sizes. Despite this strategic goal, a typical data center produces an estimated 30% overcapacity annually. This overcapacity has severe economic and environmental consequences. Our work addresses this overcapacity by proposing a multi-sided platform for CCR trading. We initiate our research by conducting a literature review to explore the existing body of knowledge which indicates a lack of recent and evaluated platform design knowledge for CCR trading. We address this research gap by deriving and evaluating design requirements and design principles. We instantiate and evaluate the design knowledge in a respective platform framework. Thus, we contribute to research and practice by deriving and evaluating design knowledge and proposing an evaluated platform framework

The Impact of Human-Artificial Intelligence Partnerships on Organizational Learning

To make sense of their increasingly digital and complex environments, organizations strive for a future in which machine learning (ML) systems join humans in collaborative learning partnerships to complement each other’s learning capabilities. While these so-called artificial assistants enable their human partners (and vice versa) to gain insights about unique knowledge domains that would otherwise remain hidden from them, they may also disrupt and impede each other\u27s learning. To explore the virtuous and vicious dynamics that affect organizational learning, we conduct a series of agent-based simulations of different learning modes between humans and artificial assistants in an organization. We find that aligning the learning of humans and artificial assistants and allowing them to influence each other’s learning processes equally leads to the highest organizational performance

Assessment and challenges of carbon markets

Global warming, with its harmful effects, is one of the most crucial issues of the 21st century. States of the international community have responded to this challenge by resorting to an original instrument: tradable emissions permits for carbon and, as a direct consequence, the pollution rights markets. This article deals with the study of this hybrid instrument and is divided into three parts. The first part concerns the description and an assessment of the initial framework enshrined in the Kyoto Protocol (I). The second part provides an overview of the reactions triggered by the consecration of the approach put forward in the Protocol (II). On the basis of the various adopted measures, an outline of the alternative and feasible solutions will be drawn in the last section. In this regard, we will recommend an approach that would start from the carbon markets as they exist today but which would integrate them and coordinate the available social and institutional actors (civil society, NGOs, federated and local entities, etc.) through a mechanism of fungibility that would make the markets compatible with each other. From an operational point of view, this fungibility could occur by using new technologies such as blockchain (III)

Are Traditional Cooperatives an Endangered species? About Shrinking Satisfaction, Involvement and Trust

Several researchers, who have observed that traditional cooperatives have difficulties in modern markets, mention a number of behavioral concepts characterizing the members. This study attempts to empirically test these concepts. It is based on a survey among members of a large traditional Swedish cooperative. The members perceive the cooperative to be so large and complex that they have difficulties understanding the operations. Hence, they become dissatisfied and uninvolved, and they mistrust the leadership. Moreover, they do not believe that the cooperative can be remodeled to strengthen member control. The findings support the behavioral explanations presented in prior studies.agricultural cooperative, property rights, satisfaction, involvement, trust, Consumer/Household Economics,

Data quality and data alignment in E-business

VIII+210hlm.;24c

Managing Mutual Information & Transfer Entropy In Synthetic Ecologies

In this paper we consider transfer entropy and mutual information in terms of their application in the emerging highly interconnected and dynamic synthetic ecologies underpinned by the Cyber. We consider existing models relating to the management of learning and change within organizations and as they may relate to mutual information (MI) and transfer entropy (TE) within socio and info/techno settings, based upon a Mech-Organic perspective. A premise of this paper is that change is costly and that it needs to be seen through a social as well as an info/techno lens. We identify potential improvements to existing models and applications applied to the management of change by considering alternative models and how they may be applied collaboratively within a learning organization

NFC based service innovation in retail: An explorative study

Enterprises are facing a challenging dilemma. In order to be able to accommodate peak loads on their IT systems, they must maintain large computing clusters, which lie idle most of the time. At the same time, IT departments are under constant pressure to cut down on hard- and software expenses. Grid technology offers a promising way out of this dilemma by allowing the dynamic sharing both within enterprises as well as across organizational boundaries. This sharing approach, however, requires proper economic incentives. This paper is concerned with the determination of dynamic market-based prices. Due to their simplicity, so-called pay-as-bid mechanisms have become popular. This paper is novel as we provide an in-depth analysis of two such pay-as-bid mechanisms – Proportional Share and a discriminatory pay-as-bid mechanism – for the case of three users, thus extending previous work by Sanghavi and Hajek (2004) and Stößer et al. (2008). This analysis is important as we show that the nice results for two users cannot be retained once three or more users are present. Even worse, we show that these results can even be reversed if we move to games with more than two player