Person: Ravindran, Kiron
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Kiron
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Ravindran
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IE University
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IE Business School
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Information Systems and Technology
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Publication Lucy and the Chocolate Factory: Warehouse Robotics and Worker Safety(SSRN, 2023-03-20) Ravindran, Kiron; Burtch, Gordon; Greenwood, Brad; European Union’s Erasmus+; https://ror.org/02jjdwm75We examine the implications of robotics for warehouse worker safety. While warehouse automation has the potential to reduce injuries by eliminating high-risk tasks, it may also increase injuries among remaining non-automated tasks, due to reduced task variety and an accelerated pace of work. Our findings provide evidence of both effects: warehouse robotics are associated with a 40% decrease in severe injuries but a 77% increase in non-severe injuries. We provide subsequent evidence that the rise in non-severe injuries is at least partially attributable to the increased pace of work at robotics facilities. The implications of our findings for regulators, policymakers, workers, and firms are discussed within.Publication Does Sharing Economy Have a Moral Capital? Comparing Semantic Networks in Social Media and News Media(Canadian Center of Science and Education, 2021-05-13) Ravindran, Kiron; Colleoni, Elanor; Elanor, Colleoni; Nuccio, Ludovico; Illia, Laura; https://ror.org/02jjdwm75Sharing Economy organizations appear to enjoy positive moral capital associated with supporting local entrepreneurs, the economy, and the environment. However, they operate in a regulatory limbo allowing them to engage in business practices that would not be permitted in other sectors. Hence a question remains: Does Sharing Economy (SE) have a moral capital? To explore whether the sharing economy has a moral capital, we explored the discussions around Uber after a number of scandals in 2017 in news media and on Twitter. Our findings show that news media play a critical role in developing and maintaining a positive moral capital of Uber, while the general public on Twitter tend to be more negative and do not afford SE much moral capital.Publication Machine learning approaches to understand IT outsourcing portfolios(Springer, 2023-01-10) Ravindran, Kiron; Lu, Yingda; Susarla, Anjana; Mani, Deepa; https://ror.org/02jjdwm75The outsourcing of IT services poses a conundrum to the traditional theories of the firm. While there are many prescriptive sourcing metrics that are geared towards the evaluation of tangible and measurable aspects of vendors and clients, much of the information that is traditionally important in making such decisions is unstructured. To address this challenge, we train and apply our own NLP model based on deep learning methods using doc2vec, which allows users to create semi-supervised methods for representation of words. We find two novel constructs, vendor–client alignment and vendor–task alignment, that shape partner selection and the alternatives faced by clients in IT outsourcing, as opposed to agency or transaction cost considerations alone. Our method suggests that NLP and machine learning approaches provide additional insight, over and above traditionally understood variables in academic literature and trade and industry press, about the difficult-to-elicit aspects of vendor–client interaction.Publication When the Cloud Runs out of its Silver Lining(Routledge, 2020-07-27) Ravindran, Kiron; Gonzalez Muñoz, Juan Manuel; van den Bergh, Alex; Beulen, Erik; Ribbers, Pieter; https://ror.org/02jjdwm75Cloud computing services are central to most organizations’ IT portfolio. Adopting a cloud computing strategy typically involves a one-way migration of IT skills and capabilities out of the organization. Therefore, it is interesting to observe what happens when organizations wish to end such engagements. Based on a survey of Spanish firms, we list some key insights on software as a service (SaaS) contracts in comparison to contracts containing Application development and maintenance and others containing hardware services. We find that satisfaction levels are generally high and premature termination is lower in the case of SaaS contracts compared to application development and hardware contracts. Post-termination, the typical strategy is to move to new external providers. Termination is associated with vendors’ service quality rather than relationship management. Unlike in the case of application or hardware contracts, SaaS contracts do not appear to suffer from the challenges of know-how transfer.Publication Mens rea, wrongdoing and digital advocacy in social media: Exploring quasi-legal narratives during #deleteuber boycott(John Wiley and Sons Ltd, 2022) Illia, Laura; Colleoni, Elanor; Ludovico, Nuccio; Ravindran, Kiron; BBVA Foundation; York University; University of Fribourg; https://ror.org/02jjdwm75#Boycotts represent digital advocacy attempts in which users publicly punish an organization as a lurata (i.e.,jury),which assesses the guilty intent,the mens rea (i.e.,guilty mind),from a set of visible acts,the actus reus (i.e.,wrongdoings). Yet,we know little about the quasi-legal narratives advocated by users. To this aim,we developed a mixed method study of the #deleteuber boycott on Twitter. Our findings suggest that while users advocate both an Uber-specific and a shared mens rea of Uber with sharing economy firms or the tech giants of Silicon Valley,the latter narrative is the most prominent one; its use depends on whether users are part of a lurata of influencers or not. These findings provide a contribution to studies on public affairs that focus on online activism,boycotts in social media and digital advocacy because they increase our understanding of the opaque legal motivations that provoke boycotters. Also,they highlight that social media blurs the boundaries between boycotts directed at the firm from the boycotts arising indirectly due to the shameful acts of the industry or peers.