The influence of business strategy on market orientation and new product activity

corporate strategy;new products

Legal challenges of artificial intelligence : modelling the disruptive features of emerging technologies and assessing their possible legal impact

The extensive use of Artificial Intelligence (AI) tools and systems and its extraordinary relevance in a multitude of social and economic domains must be framed into the broader context of a second wave of digital transformation. AI embodies the transformative force and the disruptive potential of a second generation of technologies that are ushering in a new stage of the digital evolution of our societies and economies. The acceleration and accumulation of technological developments pose unforeseen challenges to the twenty-first century’s law. A systematic, extensive, and wisely combined application of these emerging technologies, such as AI and advanced robotics, Internet-of-Things (IoT), and DLT, offers fascinating possibilities and announces great disruptive effects. The aim of this paper is to devise an analytical framework to identify the disruptive features of AI, as one of the most illustrative exponent of the second-generation technologies, and assess the potential impact on certain existing principles, rules and concepts

More than "just shopping:" personalization, privacy and the (ab)use of data

Working draft of the Personalization/Customization GroupEmerging technologies often produce unexpected consequences that existing institutions and policies are unable to deal with effectively. Because predicting the consequences of technological change is difficult, responses to emerging technologies tend to be reactive (if not passive), rather than proactive. Improved understanding of the potential consequences of a particular technology would enable policymakers and analysts to implement appropriate measures more quickly and perhaps even act prospectively. This paper proposes a general approach that can be used to identify potential sources of disruption from emerging technologies in order to enable proactive policy actions to limit the negative consequences of these disruptions. New technologies are often characterized through the use of metaphors and/or comparisons to existing technologies. While such comparisons provide an easy way to generate understanding of a new technology they often also neglect important aspects of that technology. As a result, the use of metaphors and comparisons creates a disconnect between what the metaphor suggests is happening and what is actually taking place. The incompleteness of the metaphors leads to a disparity in the appreciation of the benefits, opportunities, and pitfalls of a new technology. This disparity allows certain aspects of the technology to be ignored and/or exploited, with potentially disruptive social consequences. An analysis of the mismatch between metaphorical characterizations and the actual attributes of a new technology can help identify otherwise overlooked issues and determine if existing institutions and policies can adequately respond. This paper uses a study of personalization technologies by online retailers to demonstrate the potential for disruption caused by failures of metaphor to adequately describe new technologies. Online retailing technologies have equipped firms with tools that allow them to move closer to the ``mass market of one" --- satisfying the demands of a mass market through individually-targeted sales strategies (i.e., personalization). While the metaphors of ``shopping" and ``catalog" have been used to describe online retail ``stores," these metaphors fail to capture several key aspects of online retail technologies such as aggregation, replication, persistence, and analysis of the personal data easily collected by such businesses. As a result, the institutions that exist to protect consumers when dealing with traditional, physical stores may no longer be sufficient. Furthermore, the pervasiveness of the metaphor undermines the ability of consumers to understand or debate the negative consequences of personalization, especially in the areas of privacy and identity.National Science Foundatio

Text analysis and computers

Content: Erhard Mergenthaler: Computer-assisted content analysis (3-32); Udo Kelle: Computer-aided qualitative data analysis: an overview (33-63); Christian Mair: Machine-readable text corpora and the linguistic description of danguages (64-75); Jürgen Krause: Principles of content analysis for information retrieval systems (76-99); Conference Abstracts (100-131)

Innovation dialogue - Being strategic in the face of complexity - Conference report

The Innovation Dialogue on Being Strategic in the Face of Complexity was held in Wageningen on 31 November and 1 December 2009. The event is part of a growing dialogue in the international development sector about the complexities of social, economic and political change. It builds on two previous events hosted the Innovation Dialogue on Navigating Complexity (May 2009) and the Seminar on Institutions, Theories of Change and Capacity Development (December 2008). Over 120 people attended the event coming from a range of Dutch and international development organizations. The event was aimed at bridging practitioner, policy and academic interests. It brought together people working on sustainable business strategies, social entrepreneurship and international development. Leading thinkers and practitioners offered their insights on what it means to "be strategic in complex times". The Dialogue was organized and hosted by the Wageningen UR Centre for Development Innovation working with the Chair Groups of Communication & Innovation Studies, Disaster Studies, Education & Competence Studies and Public Administration & Policy as co; organisers. The theme of the Dialogue aligns closely with Wageningen UR’s interest in linking technological and institutional innovation in ways that enable ‘science for impact’

Law and economics of Microsoft vs. U.S. Department of Justice - New paradigm for antitrust in network markets or inefficient lock-in of antitrust policy?

This paper contains an economic and legal analysis of the lawsuit Microsoft vs. U.S. Department of Justice beginning with the District Court's decision on June 7, 2000 up to the Proposed Final Judgement on November 6, 2001. I found that the courts' underlying economic paradigm regarding the assessment of monopoly power in 'New Economy Network Markets' was strongly influenced by BRIAN W. ARTHUR's theory of path dependence claiming (1) that high-technology markets being subject to network effects generally involve a danger of being locked-in to an inferior technology since winning or losing in a technology race is determined by small early random historical events and not by economic efficiency and (2) that there is almost no possibility to overcome inferior lock-in positions since network (compatibility) effects create insurmountable switching costs protecting the lock-in monopolist. As to Microsoft, it was often claimed that Macintosh would have been the better solution than Windows. The U.S. courts are convinced that rivals such as Linux wouldn't have any chance to overcome Microsoft's lock-in position without any antitrust intervention. However, I argue in accordance with opponents of ARTHUR's work that path dependence theory is only a theoretical curiosity that lacks empirical evidence. The predominance of a certain technology and especially the predominance of Windows in the operating system market is determined by economic efficiency and dominant market positions can be eroded very quickly by providing better quality. There is no empirical indication that network effects protect Microsoft's monopoly as it was claimed by the courts within their 'applications barrier to entry' theory. I claim that current interpretations of the U.S. antitrust law don't meet the requirements of fair competition rules in the 'New Economy'. If plaintiffs and the U.S. Department of Justice are victorious over Microsoft and lock-in theories become generally accepted by courts and market participants, further antitrust lawsuits are going to follow since most markets in the 'New Economy' are subject to network effects and high seller concentration. Strict antitrust policy could dampen economic growth due to investor uncertainty and the impossibility to take advantage of scale-based productivity effects. --Microsoft,antitrust,network effects,path dependence

Success Factors Impacting Artificial Intelligence Adoption --- Perspective From the Telecom Industry in China

As the core driving force of the new round of informatization development and the industrial revolution, the disruptive achievements of artificial intelligence (AI) are rapidly and comprehensively infiltrating into various fields of human activities. Although technologies and applications of AI have been widely studied, and factors that affect AI adoption are identified in existing literature, the impact of success factors on AI adoption remains unknown. Accordingly, the main study of this paper proposes a framework to explore the effects of success factors on AI adoption by integrating the technology, organization, and environment (TOE) framework and diffusion of innovation (DOI) theory. Particularly, this framework consists of factors regarding the external environment, organizational capabilities, and innovation attributes of AI. The framework is empirically tested with data collected by surveying telecom companies in China. Structural equation modeling is applied to analyze the data. The results indicate that compatibility, relative advantage, complexity, managerial support, government involvement, and vendor partnership are significantly related to AI adoption. Managerial capability impacts other organizational capabilities and innovation attributes of AI, but it is indirectly related to AI adoption. Market uncertainty and competitive pressure are not significantly related to AI adoption, but all the external environment factors positively influence managerial capability. The study provides support for firms\u27 decision-making and resource allocation regarding AI adoption. In addition, based on the resource-based view (RBV), this article conducts study 2 which explores the factors that influence the firm sustainable growth. Multiple regression model is applied to empirically test the hypotheses with longitudinal time-series panel data from telecom companies in China. The results indicate that at the firm level, the customer value and operational expenses are significantly related to sustainable growth. Also, at the industry level, industry investment significant impacts sustainable growth. Study 2 provides insights for practitioners the way to keep sustainable growth

The politics of new technologies in local government.

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