Artificial intelligence to design collaborative strategy: An application to urban destinations

Carlo, Manuela De; Ferilli, Guido; d’Angella, Francesca; Buscema, Massimo

doi:10.1016/j.jbusres.2020.09.013

Cited by 21 publications

(15 citation statements)

References 96 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…As per the findings of the literature review, the association among AI and organizational strategy to decision-making was tended to by most articles. Nevertheless, ongoing studies in deep learning [54,63,[73][74][75] have not been all ground attended to yet. In this manner, no exact proof about the automation of the decision-making viability has been provided.…”

Section: Discussionmentioning

confidence: 99%

Artificial Intelligence and Business Strategy towards Digital Transformation: A Research Agenda

2021

View full text Add to dashboard Cite

In the past decade, current literature and businesses have drawn attention to Artificial Intelligence (AI) tools and in particular to the advances in machine learning techniques. Nevertheless, while the AI technology offers great potential to solve difficulties, challenges remain implicated in practical implementation and lack of expertise in the strategic usage of AI to create business value. This paper aims to implement a systematic literature review analyzing convergence of the AI and corporate strategy and develop a theoretical model incorporating issues based on the existing research in this field. Eighty-one peer-reviewed articles were discussed on the basis of research methodology from Webster and Watson (2002). In addition to gaps in future research, a theoretical model is developed, discussing the four sources of value creation: AI and Machine Learning in organizations; alignment of AI tools and Information Technology (IT) with organizational strategy; AI, knowledge management and decision-making process; and AI, service innovation and value. These outcomes lead to both theoretical and managerial viewpoints, with extensive possibilities to generate new methods and types of management practices.

show abstract

Section: Discussionmentioning

confidence: 99%

Artificial Intelligence and Business Strategy towards Digital Transformation: A Research Agenda

2021

View full text Add to dashboard Cite

show abstract

“…Además de las estrategias propuestas por el propio Ayuntamiento de Madrid, se considera, tras reflexionar sobre los datos reflejados en el estudio, que podría ser recomendable el uso del cooperativismo de plataforma para fomentar la rehabilitación urbana (Falcón-Pérez y Fuentes-Perdomo, 2019), así como podría implementarse inteligencia artificial para gestionar el destino de forma eficaz y eficiente mediante el uso de algoritmos (De Carlo et al, 2020). Madrid, podría tomar de ejemplo la gestión de Ámsterdam, que como se ha comentado anteriormente, está implementando algoritmos para la gestión del destino turístico en distintos ámbitos (gestión de alojamientos turísticos ilegales, gestión de espacios de estacionamiento en la ciudad, así como gestión de residuos); así implementa mejoras que pueden favorecer la calidad de vida de los residentes y la sostenibilidad del propio destino.…”

Section: Conclusionesunclassified

Airbnb y la turistificación de los barrios en las ciudades: un análisis de segmentación por barrios de alojamiento extrahotelero en Madrid

2022

View full text Add to dashboard Cite

La disrupción generada por la economía inteligente y por la economía colaborativa en el entorno exige la capacidad de reinventarse a los destinos turísticos y partes interesadas. Se detecta la necesidad de un nuevo modelo de destino turístico inteligente que integre las 3’s (Smart, Share y Sustainability). Mediante el estudio de caso de Madrid, se ilustra el impacto de los alojamientos turísticos de Airbnb en el territorio mediante determinados indicadores cuantitativos. Por medio de un análisis clúster se realizan diversas agrupaciones de los distritos, en función de distintos indicadores (nº de alojamientos, nº de alojamientos/ y precio medio de los alojamientos) que permiten medir el grado de impacto de los alojamientos turísticos de alquiler (Airbnb) en el territorio. Se complementa el análisis de los alquileres turísticos, agrupando los distritos en función del precio de los alquileres destinados a uso permanente (Fotocasa), a fin de tener una imagen más fidedigna de la vivienda en alquiler en la capital española. Por último, se sugieren distintas soluciones para la descongestión de determinados distritos, resaltando la posibilidad del uso de inteligencia artificial mediante algoritmos para una gestión eficaz de los destinos; así como se acentúa la importancia de guiar las actuaciones gubernamentales hacia la sostenibilidad del destino.

show abstract

“…Yet, other stakeholders will need to be involved in the future, bringing on board actors from educational institutions, adjacent or even non-related industries, for the fulfilment of public policies, at urban/regional or national levels. This broader collaboration will integrate destination competitive strategies into a wider economic policy, which is essential to overcome ad hoc opportunistic behaviours from individual agents [10], another bottleneck which often compromises the realization of sustainable development opportunities for tourism.…”

Section: Technology As Enabler Of Handt Sustainable Development Competitiveness and Customer Experiencementioning

confidence: 99%

“…The effects on sustainability can be both positive and negative [4], affecting the achievement of United Nations' Sustainable Development Goals (SDG), and a more fairly distributed economic prosperity [9]. Conversely, while some authors examining the H&T sector highlight the lack of studies on how the introduction of AI-enabled solutions, enriched virtual interactions and social robots will change the engagement with customers and employees in the future [10,11]; others argue how the fourth technological revolution is already altering the paradigm of the H&T industry [12,13], which includes breakthrough innovations, such as Virtual Reality (VR), Augmented Reality (AR), Artificial Intelligence (AI) [14,15], and the benefits of mobile interactivity for H&T customer engagement [16].…”

Section: Introductionmentioning

confidence: 99%

Shaping a View on the Influence of Technologies on Sustainable Tourism

Loureiro

Nascimento

2021

Sustainability

View full text Add to dashboard Cite

To date, tourism is the fastest growing industry globally, but one of the least developed in terms of environmentally sustainable practices. However, only a small portion of documents elaborate on how the introduction of new technologies can impact a more sustainable development route for tourism. This study’s objective is to provide an overview on literature state-of-the-art related to sustainable tourism and technological innovations, offering insights for further advancing this domain. We employ a bibliometric analysis and a comprehensive review of 139 articles, collected from Web of Science and Scopus databases, for the purpose of: (i) exploring and discussing the most relevant contributions in the publication network: (ii) highlighting key issues and emerging topics; (iii) uncovering open questions for the future. Our findings reveal contradictory views on the risks and benefits of technology adoption. Artificial intelligence, internet of things, circular economy, big data, augmented and virtual reality emerge as major trends. Five work streams are identified and described, leading to a broader perspective on how technology can shape the future of sustainable tourism. Relevant theoretical and managerial implications are derived. Finally, a research agenda is proposed as guidance for future studies addressing the outcomes of digital disruption on sustainable tourism.

show abstract

Artificial intelligence to design collaborative strategy: An application to urban destinations

Cited by 21 publications

References 96 publications

Artificial Intelligence and Business Strategy towards Digital Transformation: A Research Agenda

Artificial Intelligence and Business Strategy towards Digital Transformation: A Research Agenda

Airbnb y la turistificación de los barrios en las ciudades: un análisis de segmentación por barrios de alojamiento extrahotelero en Madrid

Shaping a View on the Influence of Technologies on Sustainable Tourism

Contact Info

Product

Resources

About