Anthropomorphism—the attribution of human-like characteristics to non-human entities— has been widely studied for its influence on user interaction and technology acceptance. However, much of the existing research focuses on functional design elements or surface-level outcomes, resulting in fragmented understanding of how anthropomorphism shapes psychological and behavioral outcomes. As a result, a comprehensive integration and cohesive understanding of its strategic role in technology development, integration, and use remains limited. This assessing review synthesizes Information Systems (IS) research on anthropomorphism to clarify its implications for technology design and adoption. We categorize types of anthropomorphic design stimuli, examine the cognitive mechanisms that trigger anthropomorphic perception, and analyze user responses across a spectrum of perceptual and behavioral outcomes. We also identify key variables that moderate the effectiveness of anthropomorphic design, offering insights into how organizations can strategically leverage or mitigate its effects. Building on these insights, we propose a conceptual framework and research agenda to guide IS scholars and industry leaders in optimizing anthropomorphism for enhanced technology adoption.

Information markets benefit the communities they serve by facilitating electronic distributed exchange and enhancing knowledge sharing, innovation, and productivity. This research explores innovative market mechanisms to build incentives while encouraging pro-social behavior. A key advantage of this study is a direct appeal to theories of information economics and macro policies to market design. We built and deployed a web-based software platform called Barter at several universities. Preliminary analysis of user data helps test information market effectiveness and illustrate effects of various market interventions. We present our design framework, demonstrate why such an architecture provides sustainable incentives, and list key findings learned in the process of system deployment.

The objective of this paper is to provide an overview of the current state of theory and practice on valuing Knowledge-Based Initiatives (KBI). Drawing on the literature concerning IT and business value, this paper summarizes what is known about valuing IT-based initiatives, discusses the specificity of KBI and outline main challenges that continue to limit research in this area. This paper also examines how managers deal with these challenges and what metrics they use to assess knowledge value. These managerial insights are derived from interviews as well as empirical analysis of several Silicon Valley firms. This paper gives an emerging approach for valuing KBI and illustrates its implementation with a case study from IBM.