Towards Open Smart Services Platform

The landscape of services in the enterprise has changed significantly for both service providers and service clients over the last few years. In the IT services domain, the mega IT outsourcing service deals with a sole provider are diminishing fast. A typical service client is now consuming multiple IT services, from specialized providers, and services contracts has become smaller in size and duration. More importantly the line of business, not the IT, owns the decisions and the relationship for consuming services. This has also shifted the service consumption input from IT requirements into the business requirements. This new world is posing a new and unique set of opportunities and challenges for service providers in offering services, which include third party providers, to their clients, and for service clients to consume services from multiple providers. To facilitate offering and consuming such multi-vendor services, in this paper, we present a conceptual architecture for an open services platform which enables a given server provider (a service integrator) to offer services to its clients that are a mixture of its own and other services from third party providers. It also enables service clients to look for and choose services from multiple vendors in a seamless, integrated and consistent manner

The strategic impacts of Intelligent Automation for knowledge and service work : An interdisciplinary review

We would like to thank Professor Jarvenpaa and the review team for all the constructive comments and suggestions that were most helpful in revising the paper and in offering a stronger contribution. We would also like to thank Professor Guy Fitzgerald for his constructive comments on earlier versions of the paper. This study was funded by the Chartered Institute of Professional Development (CIPD). The views expressed are those of the authors and not necessarily those of the CIPD.Peer reviewedPublisher PD

Emotions and acceptance towards artificial intelligence and its evolution

Artificial Intelligence (AI) is one of the ultimate riddles of today’s generations and its applications are increasing day by day. Without realising, we deal with AI in the subtlest ways. Its rapid development has triggered several opinions among scientists, such as Elon Musk and Stephen Hawking, due to the controversial consequences it may imply. Apart from experts’ opinions, everyone belonging in society will be affected, whether positively or negatively. The present study aims to understand what kind of emotions are triggered by AI evolution, and if those emotions play a moderator role on the effect of AI acceptance on the agreement on which AI should evolve or not, with or without regulators. We ran a mixed methodology through a sample of 205 participants, applying an online survey, where we assessed the participants’ emotions regarding AI stimuli across three times, and further conducting a semi-structured interview. We concluded that, as opposite to what literature states, negative emotions tend to rise as the contact and knowledge regarding AI deepens. Symmetrically, non-negative emotions tend to decrease. Negative emotions seem to function as a moderator on the relationship between variables mentioned above. Also, the participants’ vision towards AI evolution seems to be hopeful, yet they recognise the need for regulators to be imperative.A Inteligência Artificial (IA) é um dos mais recentes e entusiasmantes enigmas da sociedade atual, e as suas aplicações aumentam de dia para dia. Sem nos apercebermos, lidamos com a IA nas formas mais subtis. O seu rápido desenvolvimento tem espoletado várias opiniões entre cientistas, tais como Elon Musk e Stephen Hawking, devido às consequências controversas que a IA poderá implicar. Além das opiniões dos especialistas, todos os que pertencem à sociedade irão ser afetados, quer positiva, quer negativamente. O presente estudo visa a compreender quais as emoções espoletadas pela evolução da IA, e se essas emoções tomam um papel moderador no efeito da aceitação da IA na concordância ou discordância com a sua evolução, com ou sem reguladores. Conduzimos um estudo com metodologia mista numa amostra de 205 participantes, aplicando um questionário online, onde avaliámos as emoções dos participantes relativamente aos estímulos apresentados em três tempos distintos. Posteriormente, realizámos uma entrevista semiestruturada. Concluímos que, em oposição ao que é encontrado na literatura, as emoções negativas tendem a aumentar, à medida que o conhecimento relativo à IA é aprofundado. Simetricamente, as emoções não-negativas tendem a diminuir. As emoções negativas parecem funcionar como moderadoras da relação entre as variáveis supramencionadas. Em adição, a visão dos participantes relativamente à evolução da IA parece ser favorável, no entanto, os participantes reconhecem a existência de reguladores como uma necessidade imperativa

Aplicación de la inteligencia artificial en la dirección de personas: el caso de lalenttools = Application of artificial intelligence in people management: the case of talenttools

En un mundo inmerso en una transformación digital, la incorporación de la Inteligencia Artificial en la Industria -hasta ahora la tecnología más disruptiva que existe- supone un cambio para las organizaciones que afecta principalmente al capital humano, dado que implica un giro radical en la manera en que se trabaja. Es por ello que el departamento de Recursos Humanos debe formar a sus empleados sobre las aplicaciones, consecuencias y resultados derivados de esta tecnología con el fin de prepararse ante el cambio que está sucediendo. Este fenómeno tiene su origen en 1950 y se define como la ciencia a través de la cual una máquina pretende imitar el comportamiento humano realizando tareas tan bien o incluso mejor que estos. El objetivo de este trabajo es estudiar en profundidad cómo ha afectado la incorporación de las tecnologías de la Inteligencia Artificial en el ámbito de la dirección de personas. Con el fin de aplicar el marco teórico a la realidad, se ha realizado un caso de análisis de la asesoría TalentTools. Su estudio ha permitido comprobar la importancia que tiene conseguir que personas y máquinas inteligentes se complementen para mejorar la función de Recursos Humanos y dejar patente su utilidad