Peter SABA, auteur/autrice sur Pôle Léonard de Vinci

@article{harfouche_2727,

title = {Guest editorial: Cutting-edge technologies for the development of Asian countries},

author = {Antoine Harfouche and Peter Saba and Georges Aoun and Samuel Fosso Wamba},

url = {https://www.emerald.com/insight/content/doi/10.1108/JABS-04-2022-494/full/html},

year  = {2022},

date = {2022-03-01},

journal = {Journal of Asia Business Studies},

volume = {16},

number = {2},

pages = {225-229},

abstract = {Artificial intelligence (AI), Internet of Things (IoT)/Internet of Everything, blockchain and Big Data are expected to disrupt public and private sectors in Asian countries. If well implemented, these cutting-edge technologies can promote socioeconomic and ecological developments (Fosso Wamba et al., 2015) and enhance the quality of life (De-Arteaga et al., 2018) in Asian countries. They have the potential to bring great value to Asian countries in terms of reshaping competitive advantages (Akter et al., 2020), improving how organizations respond to disasters (Ofli et al., 2016; Zhou et al., 2018) and emergency (Johnson et al., 2021a), reducing inequalities (Korinek and Stiglitz, 2019), developing new knowledge (Harfouche et al., 2017), improving human health (Guo and Li, 2018; Johnson et al., 2021b; Stone et al., 2018; Wahl et al., 2018), improving education (McCalla, 2004), increasing participation in smart cities (Viale Pereira et al., 2017), reshaping agriculture (Harfouche et al., 2019) and empowering farmers by increasing their economic intelligence (Saba et al., 2018). It can also enhance microfinance and social entrepreneurship (Popkova and Sergi, 2020).

Along with these potential positive impacts, cutting-edge technologies can inevitably have negative consequences. As these technologies were designed in developed countries, they could have been built intentionally or inadvertently with biases. If they were created with a bias or their training data collected from different countries, they could potentially produce biased results in the context of developing countries. This reality could lead to unintended consequences such as increased discrimination and racism, inequalities, low security, reduced privacy, digital divide and lack of national sovereignty.

The special issue tackles the potential impact of cutting-edge technologies in Asia, shedding light on how these technologies are adopted and implemented, and their effects and causes on the strategic, operational and technical levels.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

Fermer

Artificial intelligence (AI), Internet of Things (IoT)/Internet of Everything, blockchain and Big Data are expected to disrupt public and private sectors in Asian countries. If well implemented, these cutting-edge technologies can promote socioeconomic and ecological developments (Fosso Wamba et al., 2015) and enhance the quality of life (De-Arteaga et al., 2018) in Asian countries. They have the potential to bring great value to Asian countries in terms of reshaping competitive advantages (Akter et al., 2020), improving how organizations respond to disasters (Ofli et al., 2016; Zhou et al., 2018) and emergency (Johnson et al., 2021a), reducing inequalities (Korinek and Stiglitz, 2019), developing new knowledge (Harfouche et al., 2017), improving human health (Guo and Li, 2018; Johnson et al., 2021b; Stone et al., 2018; Wahl et al., 2018), improving education (McCalla, 2004), increasing participation in smart cities (Viale Pereira et al., 2017), reshaping agriculture (Harfouche et al., 2019) and empowering farmers by increasing their economic intelligence (Saba et al., 2018). It can also enhance microfinance and social entrepreneurship (Popkova and Sergi, 2020).
Along with these potential positive impacts, cutting-edge technologies can inevitably have negative consequences. As these technologies were designed in developed countries, they could have been built intentionally or inadvertently with biases. If they were created with a bias or their training data collected from different countries, they could potentially produce biased results in the context of developing countries. This reality could lead to unintended consequences such as increased discrimination and racism, inequalities, low security, reduced privacy, digital divide and lack of national sovereignty.
The special issue tackles the potential impact of cutting-edge technologies in Asia, shedding light on how these technologies are adopted and implemented, and their effects and causes on the strategic, operational and technical levels.

Fermer

Peter Saba

Soigner le mal par le mal : recherche-action sur la technique de l'inoculation pour limiter les résistances à un projet TI Article de journal

Dans: Systèmes d'Information et Management, vol. 25, no. 3, p. 87-126, 2020.

Résumé | Liens | BibTeX

Mario Saba; Peter Saba; Antoine Harfouche

Hidden facets of IT projects are revealed only after deployment: The case of French agricultural cooperatives Article de journal

Dans: Information Technology & People, vol. 31, no. 1, p. 239-255, 2018.

Résumé | Liens | BibTeX

Peter Saba; Stefan Brouwers

Using a decision support tool for R&D portfolio management: going beyond initial expectations Article de journal

Dans: EuroMed Journal of Management, vol. 1, no. 3, p. 224 - 236, 2016.

Résumé | Liens | BibTeX

Peter Saba; Mario Saba; André Azouri

Competitive innovation matrix': a framework for open innovation Article de journal

Dans: EuroMed Journal of Management, vol. 1, no. 2, p. 149-162, 2016.

Résumé | Liens | BibTeX

Francesco Salvarani; Peter Saba

A decision aid model for new pandemic episods Conférence

ICTO2023 The 7th Conference for Information & Communication Technologies for Organization & Society ETHICAL & RESPONSIBLE ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE SOCIETIES, Paris, France, 2023.

Résumé | Liens | BibTeX

@conference{salvarani_2570,

title = {A decision aid model for new pandemic episods},

author = {Francesco Salvarani and Peter Saba},

url = {https://www.icto2023.com/_files/ugd/76fc40_31f9eca50eb54c809ece853b8f11e00d.pdf},

year  = {2023},

date = {2023-07-01},

booktitle = {ICTO2023 The 7th Conference for Information & Communication Technologies for Organization & Society ETHICAL & RESPONSIBLE ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE SOCIETIES},

address = {Paris, France},

abstract = {The importance of achieving sustainable development and addressing environmental challenges has gained increasing recognition within the academic community. Scholars have emphasized the interconnected elements of economic wellbeing, social inclusion, and environmental protection (Baghdadi, et al. 2020; Johnson et al., 2021; Dennehy et al., 2021; Dwivedi et al., 2022). Ef- forts have been made to leverage technology and analytics to promote sustainable development and energy conservation (Albizri, 2020; Khene & Masiero, 2022; Masiero & Arvidsson, 2021). However, achieving inclusive and resilient futures for both people and the planet requires collab- oration among academic disciplines, policymakers, practitioners, and the intended beneficiaries of the Sustainable Development Goals (Harfouche et al., 2019; Harfouche et al., 2022).

For instance, even prior to the Covid-19 pandemic, the need to prepare for sudden outbreaks of new infectious diseases was recognized (Osterholm, 2005) . The recent pandemic has further highlighted the urgency of developing action plans to effectively counter future pandemics (Wen- ham et al., 2021). Understanding the behavior and characteristics of new contagious diseases is a gradual process, resulting in a lack of knowledge and potential underestimation of their long-term consequences. Therefore, early-stage preventive measures such as social distancing, mask usage (e.g., FFP2 masks), and frequent handwashing are crucial to mitigate the risks of contagion.

However, the social acceptability of these preventive measures often falls short of what is necessary (Reed et al., 2020). Health policymakers frequently face the dilemma of whether to enforce mandatory measures, carefully weighing the risks and benefits associated with each choice. To address this challenge, this article aims to study a quantitative model that utilizes real data to simulate and examine how the progression of a pandemic influences the spontaneous adherence to prevention measures. By providing quantitative predictions on the acceptability of these measures, this model can serve as a valuable tool to support policymakers in making informed and sustainable decisions.},

keywords = {},

pubstate = {online},

tppubtype = {conference}

}

Fermer

The importance of achieving sustainable development and addressing environmental challenges has gained increasing recognition within the academic community. Scholars have emphasized the interconnected elements of economic wellbeing, social inclusion, and environmental protection (Baghdadi, et al. 2020; Johnson et al., 2021; Dennehy et al., 2021; Dwivedi et al., 2022). Ef- forts have been made to leverage technology and analytics to promote sustainable development and energy conservation (Albizri, 2020; Khene & Masiero, 2022; Masiero & Arvidsson, 2021). However, achieving inclusive and resilient futures for both people and the planet requires collab- oration among academic disciplines, policymakers, practitioners, and the intended beneficiaries of the Sustainable Development Goals (Harfouche et al., 2019; Harfouche et al., 2022).
For instance, even prior to the Covid-19 pandemic, the need to prepare for sudden outbreaks of new infectious diseases was recognized (Osterholm, 2005) . The recent pandemic has further highlighted the urgency of developing action plans to effectively counter future pandemics (Wen- ham et al., 2021). Understanding the behavior and characteristics of new contagious diseases is a gradual process, resulting in a lack of knowledge and potential underestimation of their long-term consequences. Therefore, early-stage preventive measures such as social distancing, mask usage (e.g., FFP2 masks), and frequent handwashing are crucial to mitigate the risks of contagion.
However, the social acceptability of these preventive measures often falls short of what is necessary (Reed et al., 2020). Health policymakers frequently face the dilemma of whether to enforce mandatory measures, carefully weighing the risks and benefits associated with each choice. To address this challenge, this article aims to study a quantitative model that utilizes real data to simulate and examine how the progression of a pandemic influences the spontaneous adherence to prevention measures. By providing quantitative predictions on the acceptability of these measures, this model can serve as a valuable tool to support policymakers in making informed and sustainable decisions.

Fermer

Antoine Harfouche; Bernard Quinio; Mario Saba; Samuel Fosso Wamba; Peter Saba

Responsible and Explainable artificial intelligence (RXAI) Virtual Reality (VR) design for Dyslexic students: The example of Vrailexia Conférence

ICTO2023 The 7th Conference for Information & Communication Technologies for Organization & Society ETHICAL & RESPONSIBLE ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE SOCIETIES, Paris, France, 2023.

Résumé | Liens | BibTeX

Hajer Kefi; Peter Saba

Should I Stay or Should I go? Understanding the Determinants of Continuance Usage and Resistance to Chatbots in Online Retailing Conférence

ICTO2023 The 7th Conference for Information & Communication Technologies for Organization & Society ETHICAL & RESPONSIBLE ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE SOCIETIES, Paris, France, 2023.

Résumé | Liens | BibTeX

@conference{kefi_2572,

title = {Should I Stay or Should I go? Understanding the Determinants of Continuance Usage and Resistance to Chatbots in Online Retailing},

author = {Hajer Kefi and Peter Saba},

url = {https://www.icto2023.com/_files/ugd/76fc40_31f9eca50eb54c809ece853b8f11e00d.pdf},

year  = {2023},

date = {2023-07-01},

booktitle = {ICTO2023 The 7th Conference for Information & Communication Technologies for Organization & Society ETHICAL & RESPONSIBLE ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE SOCIETIES},

address = {Paris, France},

abstract = {Recently, academic research has started addressing topics related to human-chatbots interactions and called for more theoretical and empirical studies to explore customers' perceptions and behaviors when using VCAs. Especially the question of users' resistance to these devices is equally relevant for researchers and practitioners alike. As reminded by Rese et al. [7] in the context of online retailing: ?customers are considerably reluctant when it comes to using chatbots in different phases of the customer journey. In the United States, around 40% of the customers prefer to communicate with a real person? (p. 1). A few research studies have addressed this issue [8]. The determinants of this reluctance to use chatbots include the perceived lack of maturity, accuracy, usefulness of these tools and the threat they could represent to privacy [7].



Following the call of Skijuve et al. [9] for more research on Human-chatbots interactions, we develop a research model to identify the factors that explain consumers intention to continue using chatbots in the context on online retailing and those that might entail their [7] resistance toward this continuance of usage.



Building on the literature on Information systems (IS) acceptance and post-acceptance [10]-[12] from one side and on resistance-related human behaviors in the fields of IS [13], [14], innovation and marketing [15]-[17], we hypothesize that a sustainable use of chatbots in the online retailing sector is dependent on the attitude of consumers toward the intention to use these tools continuously and also to what degree they might experience resistance toward this continuous use, with regard to their previous interactions with chatbots. We consider two categories of factors that might positively (vs negatively) affect attitude toward chatbot's continuance use (vs resistance), i.e. Perceived outcomes: Perceived utility and perceived information quality [7]; and perceived risks: Perceived privacy risks and perceived temporal risks, which are both identified in the literature as potential antecedents of consumer resistance to chatbots in the online retailing context [18].},

keywords = {},

pubstate = {online},

tppubtype = {conference}

}

Fermer

Recently, academic research has started addressing topics related to human-chatbots interactions and called for more theoretical and empirical studies to explore customers' perceptions and behaviors when using VCAs. Especially the question of users' resistance to these devices is equally relevant for researchers and practitioners alike. As reminded by Rese et al. [7] in the context of online retailing: ?customers are considerably reluctant when it comes to using chatbots in different phases of the customer journey. In the United States, around 40% of the customers prefer to communicate with a real person? (p. 1). A few research studies have addressed this issue [8]. The determinants of this reluctance to use chatbots include the perceived lack of maturity, accuracy, usefulness of these tools and the threat they could represent to privacy [7].

Following the call of Skijuve et al. [9] for more research on Human-chatbots interactions, we develop a research model to identify the factors that explain consumers intention to continue using chatbots in the context on online retailing and those that might entail their [7] resistance toward this continuance of usage.

Building on the literature on Information systems (IS) acceptance and post-acceptance [10]-[12] from one side and on resistance-related human behaviors in the fields of IS [13], [14], innovation and marketing [15]-[17], we hypothesize that a sustainable use of chatbots in the online retailing sector is dependent on the attitude of consumers toward the intention to use these tools continuously and also to what degree they might experience resistance toward this continuous use, with regard to their previous interactions with chatbots. We consider two categories of factors that might positively (vs negatively) affect attitude toward chatbot's continuance use (vs resistance), i.e. Perceived outcomes: Perceived utility and perceived information quality [7]; and perceived risks: Perceived privacy risks and perceived temporal risks, which are both identified in the literature as potential antecedents of consumer resistance to chatbots in the online retailing context [18].

Fermer

Antoine Harfouche; Peter Saba; Mario Saba

Which Artificial Intelligence to which Organiztional Decision Conférence

5th International Conference Information and Communication Technologies in Organizations and Society, Lille, France, 2019.

Peter Saba

Peter Saba

Publications

Articles de journaux

Conférences

Book Sections

Divers

Thèses

En savoir plus ?

Contactez-nous et téléchargez une documentation

Votre demande de documentation est validée.

Communiqués de presse

Maison De Vinci organise un défilé de mode avec les créations éco-responsables des étudiants du Pôle Léonard de Vinci

De Vinci Executive Education propose un nouveau MBA Management de la Transformation Sociale et Stratégie Durable

L’ESILV lance sa formation d’ingénieurs en alternance à Nantes

Actualités des écoles

EMLV École de Commerce Post-Bac

ESILV Ecole d’ingénieurs Paris-La Défense

IIM Digital School