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1.
Proceedings of the ACM on Human-Computer Interaction ; 7(CSCW1), 2023.
Article in English | Scopus | ID: covidwho-2312121

ABSTRACT

Previous research on employee voice has sought to design technological solutions that address the challenges of speaking up in the workplace. However, effectively embedding employee voice systems in organisations requires designers to engage with the social processes, power relations and contextual factors of individual workplaces. We explore this process within a university workplace through a research project responding to a crisis in educational service delivery arising from the COVID-19 pandemic. Within a successful three-month staff-led engagement, we examined the intricacies of embedding employee voice, exploring how the interactions between existing actors impacted the effectiveness of the process. We sought to identify specific actions to promote employee voice and overcome barriers to its successful establishment in organisational decision-making. We highlight design considerations for an effective employee voice system that facilitates embedding employee voice, including assurance, bounded accountability and bias reflexivity. © 2023 ACM.

2.
Offshore Technology Conference, OTC 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2289086

ABSTRACT

It has been recognized that Digitalization in the oil and gas industry, as emerging information communication and technology, can improve collaboration to different extents. However, because of the fast progress of Digitalization adoption both on the scope and in-depth, there is a knowledge gap between industry and academia that lacks systematic analysis on critical success factors (CSFs) of implementing Digitalization for collaboration in the oil and gas industry. This study develops a digitalization framework for collaboration from technical, organizational, process, and legal scopes. It identifies the CSFs of Digitalization in each scope based on the latest publications. From a system analysis perspective, the pair-relationship matrix is established to reveal the hidden effect between CSFs. The CSFs in the specific Digitalization application areas are identified based on the matrix. The Innovative Digital Race is based on the evolution of the operational backbone of the engineering domain, driven by advancements in Artificial Intelligence, Machine Learning, Deep Learning, Automation, energy technologies, and data-driven prediction and analytics. Organizations are constantly buffeted by unexpected events, from the COVID-19 pandemic to climate change to political unrest. In contrast, the promise of digital transformation to prosper and outperform the challenges during disturbances stays apparent as digital is responsible for supporting digital enterprise technology. As a result, enterprises can embrace innovations to accelerate growth and strategically drive the enterprise forward through gaining trusted digital connections, solutions to disruptive scale digital creativity, and innovative capacities to post business growth and resilience. © 2022, Offshore Technology Conference. All rights reserved.

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