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La matérialité de la communication dans les approches de co-design : quelles contributions à la transformation dans les organisations ?
No full textInternational audienc
Which Factors Matter Most? Can Startup Valuation be Micro-Targeted?
No full textInternational audienceWhile startup valuations are influenced by revenues, risks, age, and macroeconomic conditions, specific causality is traditionally a black box. Because valuations are not disclosed, roles played by other factors (industry, geography, and intellectual property) can often only be guessed at. VC valuation research indicates the importance of establishing a factor-hierarchy to better understand startup valuations and their dynamics, suggesting the wisdom of hiring data-scientists for this purpose. Bespoke understanding can be established via construction of hierarchical prediction models based on decision trees and random forests. These have the advantage of understanding which factors matter most. In combination with OLS, the also tell us the circumstances of when specific causalities apply. This study explores the deterministic role of categorical variables on the valuation of start-ups (i.e. the joint-combination geographic, urban, and sectoral denomination-variables), in order to be able to build a generalized valuation scorecard approach. Using a dataset of 1,091 venture-capital investments, containing 1,044 unique EU and EEA, this study examines microeconomic, sectoral, and local-level impacts on startup valuation. In principle, the study relies on Fixedeffects and Joint-fixed-effects regressions as well as the analysis and exploration of divergent micropopulations and fault-lines by means of non-parametric approaches combining econometric and machinelearning techniques
Smart and flexible manufacturing systems using Autonomous Guided Vehicles (AGVs) and the Internet of Things (IoT)
No full textInternational audienc
Artificial intelligence in E-Commerce: a bibliometric study and literature review
No full textInternational audienceThis paper synthesises research on artificial intelligence (AI) in e-commerce and proposes guidelines on how information systems(IS) research could contribute to this research stream. To this end, the innovative approach of combining bibliometric analysis withan extensive literature review was used. Bibliometric data from 4335 documents were analysed, and 229 articles published in leadingIS journals were reviewed. The bibliometric analysis revealed that research on AI in e-commerce focuses primarily on recommendersystems. Sentiment analysis, trust, personalisation, and optimisation were identified as the core research themes. It also places China-based institutions as leaders in this researcher area. Also, most research papers on AI in e-commerce were published in computerscience, AI, business, and management outlets. The literature review reveals the main research topics, styles and themes that havebeen of interest to IS scholars. Proposals for future research are made based on these findings. This paper presents the first study thatattempts to synthesise research on AI in e-commerce. For researchers, it contributes ideas to the way forward in this research area.To practitioners, it provides an organised source of information on how AI can support their e-commerce endeavours
The Capital Market Consequences of Tenure-Based Voting Rights: Evidence from the Florange Act
No full textInternational audienceWe examine the consequences of a regulatory intervention aimed at generalizing tenure voting in French public companies. The 2014 Florange Act departs from the ‘one share one vote’ principle by automatically granting double-voting rights (DVR) to shares held for at least two years. However, firms can opt out through an annual meeting vote. We document three main findings. First, firms that adopt DVR by default experience a decrease in long-term foreign institutional ownership offset by an increase in insider/family ownership. Second, those firms significantly underperform in terms of stock returns after Florange relative to those that reject DVR. Third, their environmental and social performance deteriorates. Collectively, our evidence casts doubt on the merit of regulation-induced tenure voting as a desirable corporate governance mechanism. This paper was accepted by Brian Bushee, accounting
Financial contagion intensity during the COVID-19 outbreak: A copula approach
No full textInternational audienc
COVID‐19 crisis and risk spillovers to developing economies: Evidence from Africa
No full textInternational audienceThis study provides new evidence on how risk spillovers occur from the United States to developing economies in Africa during the COVID-19 pandemic. The results show that downside risk exposures of African markets, financial firms and banks particularly increased during Phase I (30 January to 30 April 2020). The nature and magnitude of downside risk exposures of African financial markets were similar to those of the United States. Our results also reveal that the United States is a net transmitter of risk spillovers while Nigeria, South Africa, Egypt and Morocco are net recipients. Our conclusions offer guidance to risk managers, policymakers and investors
Editorial: Purchasing and innovation: Past, present and future of the field of research
No full textInternational audienceThis paper introduces the special topic forum (STF) on purchasing and innovation. Presenting the findings from a systematic literature review, we take stock of the current state of the field, delineating themes, theories and methods, and identifying key trends over time. Our study shows a take-off in research on purchasing and innovation during the last decade. This has predominantly focused on private sector manufacturing firms although a recent expansion into public sector research is evident. Large-scale surveys and case studies are still the dominant research methods where the unit of analysis is typically the ‘firm’ or ‘project’. The findings also show how in the past the field was driven by questions on how purchasing can facilitate different types of innovation projects, seeking to derive practical implications, and rarely making explicit statements regarding theories applied; this still characterises much of the research but we find an increasing focus on theory development. We also see a shift in the type of technological innovation being investigated: past studies tended to focus on the role of purchasing in new product development (NPD) projects, which reflected a relatively low degree of technological uncertainty, but we see a trend towards innovation projects facing technological uncertainty. Research shows how this requires new ways of sourcing innovations and therefore new ways for purchasing to facilitate innovation sourcing. On the basis of the review, we offer our guidance for future research avenues to 1) carry out more research on procurement of innovation in the public sector; 2) consider new theories and research methods, and 3) go beyond firm-level or dyadic analysis to research networks and ecosystems. We conclude by introducing the papers in the STF