A playwriting technique to engage on a shared reflective enquiry about the social sustainability of robotization and artificial intelligence

Casazza, Marco; Gioppo, Luca

doi:10.1016/j.jclepro.2019.119201

Cited by 17 publications

(10 citation statements)

References 64 publications

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“…Microsoft's robot editor (Akhavan et al, 2018;Bawack et al, 2021;Botega & da Silva, 2020;Casazza & Gioppo, 2020;Grahn et al 2020;Holford 2019;Köbis & Mossink, 2021;Kronblad 2020;S. K. Parker et al, 2021;Townsend and Hunt 2019;Wu et al 2020;Xu and Wang 2019) AI triggers 'fear' in workers, and this 'fear' stimulates workers' IWB (Abubakar et al, 2019;Braganza et al 2020;Cetindamar Kozanoglu & Abedin, 2020;Cropley 2020;Ding, 2021;Druckman et al 2021;Gruchmann et al, 2020;Holford 2019;Kronblad 2020;Loureiro et al 2020;Palumbo 2021;Wu et al 2020;Xu and Wang 2019) Workers are reskilled and upskilled to compensate for AI limitations (Birdi, 2020;Butschan et al, 2019;Casazza & Gioppo, 2020;Cetindamar Kozanoglu & Abedin, 2020;Chaubey & Sahoo, 2018;Cropley 2020;Dutse, 2015;Grahn et al 2020 used a photo of the wrong mixed-race member of a band to illustrate a news article about racism (Waterson 2020b). An AI robot camera, which was meant to monitor the football during a game, instead tracked the assistant referee's head, resulting in sudden camera movements towards the referee and repeated switching between the referee's head and the actual football (HT Tech, 2020).…”

Section: Robots Make Mistakes and Such Mistakes Stimulate Workers' Iwbmentioning

confidence: 99%

“…(Akter et al 2021;Althuizen and Reichel 2016;Austin, 2016;Bawack et al, 2021;Botega & da Silva, 2020;Casazza & Gioppo, 2020; Chiru & Rebedea, 2017; Köbis & Mossink, 2021; Kronblad 2020; Lo and Tian 2020; Magallanes et al, 2018; Nevo et al 2020; Nöhammer & Stichlberger, 2019; Perry-Smith and Mannucci 2017; Shute and Rahimi 2021; Townsend and Hunt 2019; Warrier et al, 2021)…”

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confidence: 99%

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Can artificial intelligence’s limitations drive innovative work behaviour?

Zirar

2023

Rev Manag Sci

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Artificial intelligence (AI) is deemed to increase workers' productivity by enhancing their creative abilities and acting as a general-purpose tool for innovation. While much is known about AI's ability to create value through innovation, less is known about how AI's limitations drive innovative work behaviour (IWB). With AI's limits in perspective, innovative work behaviour might serve as workarounds to compensate for AI limitations. Therefore, the guiding research question is: How will AI limitations, rather than its apparent transformational strengths, drive workers' innovative work behaviour in a workplace? A search protocol was employed to identify 65 articles based on relevant keywords and article selection criteria using the Scopus database. The thematic analysis suggests several themes: (i) Robots make mistakes, and such mistakes stimulate workers' IWB, (ii) AI triggers 'fear' in workers, and this 'fear' stimulates workers' IWB, (iii) Workers are reskilled and upskilled to compensate for AI limitations, (iv) AI interface stimulates worker engagement, (v) Algorithmic bias requires IWB, and (vi) AI works as a generalpurpose tool for IWB. In contrast to prior reviews, which generally focus on the apparent transformational strengths of AI in the workplace, this review primarily identifies AI limitations before suggesting that the limitations could also drive innovative work behaviour. Propositions are included after each theme to encourage future research.

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Section: Robots Make Mistakes and Such Mistakes Stimulate Workers' Iwbmentioning

confidence: 99%

mentioning

confidence: 99%

Can artificial intelligence’s limitations drive innovative work behaviour?

Zirar

2023

Rev Manag Sci

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“…Such obstacles can be seen from different perspectives: economic, technical, social and environmental [39]. The social perspective relates to aspects of living standards and low socio-ecological awareness, the complexity of communication and consequent inadequate assessment of stakeholders regarding the adoption of technologies [40][41][42][43]. There are also policy and regulatory issues related to the lack of capacity of local governments, lack of norms, policies and guidelines, lack of transparency and reliability [44,45].…”

Section: Barriersmentioning

confidence: 99%

The Effects of Subsidies on MSW Treatment Companies: Financial Performance and Policy Implications

Santos

Lisboa

2022

Sustainability

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Companies that provide public services usually receive subsidies from municipalities as compensation for replacing the latter in their functions as public service providers. However, the managers of those companies are not always interested in maintaining an economically sustainable company, as this implies turning off the tap on exploration subsidies. This article investigates the effect of subsidies on the financial performance of municipal solid waste collection and treatment companies for 2016–2020 and across NUTS II regions. The accounting data of 680 companies retrieved from the SABI database, make it possible to assess the economic sustainability of the companies through financial ratios and operational data. The results show that the financial structure and management of companies in the Centro, Lisbon, and the Azores allowed to take advantage of exploration subsidies to achieve economic sustainability. In the remaining regions these subsidies proved to be ineffective. These results have implications for managers and policy makers insofar as it sheds a light on the conditions under which subsidies contribute to the economical sustainability of companies in the sector.

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“…This introduces vulnerability regarding citizens' information, as clear mechanisms for incorporating their right of speech are missing, and biases are created in the decision-making process. Improper technology adoption, a lack of social facilities, a low awareness of these issues, and behavioral changes must be addressed to implement and sustain best practices throughout an entire SSWM system (Casazza and Gioppo, 2020;Roblek et al, 2020).…”

Section: Proposed Measurementioning

confidence: 99%

Understanding the Barriers to Sustainable Solid Waste Management in Society 5.0 Perspective Under Uncertainties: A Hybrid Method Approach

Bui

Tseng

2021

Preprint

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This study contributes to identifying a valid and reliable set of barriers to sustainable solid waste management framework rooted in society 5.0 perspectives in Taiwan. In nature, the hierarchical structure is with the causal interrelationships under uncertainties. The perspective empowers the creation of a new biosphere based on technological progress, but in the sustainable solid waste management field, it is difficult to encounter and shape the systematized processes due to barriers and challenges. To address this shortcoming, this study evaluates the technical challenges faced in the field of sustainable solid waste management toward society 5.0. The valid attributes are usually described the qualitative information. The fuzzy Delphi method is applied to acquire the valid and reliable attributes. Fuzzy decision-making trial and evaluation laboratory experiment is to visualize the causal interrelationships among the attributes. Choquet integral with respect to the nonadditive attributes over the valid set provides an overall perspective function. The results establish an understanding of sustainable solid waste management barriers in the perspectives under uncertainties. Community uncertainty, policy and regulation problems, city architecture, and technology interaction are the factors that influence sustainable performance. In practices, (1) diverse disciplines and sectors in local, national, and global communities, (2) a lack of mobility and reliability, (3) mass production and mass consumption, (4) an insufficient level of artificial intelligence application, and (5) failures related to data management and security hinder the improvement of sustainable solid waste management toward society 5.0.

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A playwriting technique to engage on a shared reflective enquiry about the social sustainability of robotization and artificial intelligence

Cited by 17 publications

References 64 publications

Can artificial intelligence’s limitations drive innovative work behaviour?

Can artificial intelligence’s limitations drive innovative work behaviour?

The Effects of Subsidies on MSW Treatment Companies: Financial Performance and Policy Implications

Understanding the Barriers to Sustainable Solid Waste Management in Society 5.0 Perspective Under Uncertainties: A Hybrid Method Approach

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