Library

@article{hinks_navigating_2024,

title = {Navigating technological shifts: worker perspectives on AI and emerging technologies impacting well-being},

author = {Tim Hinks},

url = {https://doi.org/10.1007/s00146-024-01962-8},

doi = {10.1007/s00146-024-01962-8},

issn = {1435-5655},

year  = {2024},

date = {2024-05-01},

urldate = {2024-11-24},

journal = {AI & SOCIETY},

abstract = {This paper asks whether workers’ experience of working with new technologies and workers’ perceived threats of new technologies are associated with expected well-being. Using survey data for 25 OECD countries we find that both experiences of new technologies and threats of new technologies are associated with more concern about expected well-being. Controlling for the negative experiences of COVID-19 on workers and their macroeconomic outlook both mitigate these findings, but workers with negative experiences of working alongside and with new technologies still report lower expected well-being.},

keywords = {AI and White Collar Work},

pubstate = {published},

tppubtype = {article}

}

@article{jo_effects_2024,

title = {Effects of ChatGPT’s AI capabilities and human-like traits on spreading information in work environments},

author = {Hyeon Jo and Do-Hyung Park},

url = {https://www.nature.com/articles/s41598-024-57977-0},

doi = {10.1038/s41598-024-57977-0},

issn = {2045-2322},

year  = {2024},

date = {2024-04-01},

urldate = {2024-11-24},

journal = {Scientific Reports},

volume = {14},

number = {1},

pages = {7806},

abstract = {The rapid proliferation and integration of AI chatbots in office environments, specifically the advanced AI model ChatGPT, prompts an examination of how its features and updates impact knowledge processes, satisfaction, and word-of-mouth (WOM) among office workers. This study investigates the determinants of WOM among office workers who are users of ChatGPT. We adopted a quantitative approach, utilizing a stratified random sampling technique to collect data from a diverse group of office workers experienced in using ChatGPT. The hypotheses were rigorously tested through Structural Equation Modeling (SEM) using the SmartPLS 4. The results revealed that system updates, memorability, and non-language barrier attributes of ChatGPT significantly enhanced knowledge acquisition and application. Additionally, the human-like personality traits of ChatGPT significantly increased both utilitarian value and satisfaction. Furthermore, the study showed that knowledge acquisition and application led to a significant increase in utilitarian value and satisfaction, which subsequently increased WOM. Age had a positive influence on WOM, while gender had no significant impact. The findings provide theoretical contributions by expanding our understanding of AI chatbots' role in knowledge processes, satisfaction, and WOM, particularly among office workers.},

note = {Publisher: Nature Publishing Group},

keywords = {AI and White Collar Work},

pubstate = {published},

tppubtype = {article}

}

@article{zhang_practice_2024,

title = {The Practice of Refined Management of Office Reception Work in the Era of Artificial Intelligence},

author = {Yuefang Zhang},

url = {https://sciendo.com/article/10.2478/amns-2024-0406},

doi = {10.2478/amns-2024-0406},

year  = {2024},

date = {2024-02-01},

urldate = {2024-11-24},

journal = {Applied Mathematics and Nonlinear Sciences},

volume = {9},

number = {1},

abstract = {While discussing the importance of office reception work, this article emphasizes the key role of fine management in improving work efficiency and service quality. Against the background of the artificial intelligence era, the article successfully constructs a framework for an office reception work management system by utilizing cutting-edge React and Express technologies. The system not only carries out meticulous module design based on functional requirements, but also proposes a personalized recommendation algorithm integrating clustering and collaborative filtering by optimizing the Similarity of user characteristics and item attributes for joint filtering recommendation to achieve more humanized reception services. To verify the system's effectiveness, this study conducted an application analysis using University Q as a case study. The analysis results show that from 2008 to 2022, the indices of reception preparation, knowledge of reception work, staffing, business skills of reception staff, work attitude and work detail control have been significantly improved, with an increase ranging from 32.0761 to 37.1677, indicating that the management level of office reception work is constantly optimized and shows a rapid growth. This innovative office reception work management system not only realizes refined management, but also comprehensively improves the service efficiency and comprehensive management level, which provides a valuable reference for the management of similar work.},

keywords = {AI and White Collar Work},

pubstate = {published},

tppubtype = {article}

}

@article{valeriya_ai-powered_2024,

title = {AI-Powered Super-Workers: An Experiment in Workforce Productivity and Satisfaction},

author = {Glazkova Valeriya and Vivek John and Atul Singla and J. Yamini Devi and Kaushal Kumar},

url = {https://www.bio-conferences.org/articles/bioconf/abs/2024/05/bioconf_rtbs2024_01065/bioconf_rtbs2024_01065.html},

doi = {10.1051/bioconf/20248601065},

issn = {2117-4458},

year  = {2024},

date = {2024-01-01},

urldate = {2024-11-24},

journal = {BIO Web of Conferences},

volume = {86},

pages = {01065},

abstract = {In this paper, "AI-Powered Super-Workers," the revolutionary power of artificial intelligence (AI) on the workforce is empirically shown. Based on real data, the conclusions show significant shifts in work satisfaction and productivity. For example, up to 52% productivity benefits were seen in a variety of professions; one such function was that of a Sales Executive (John Smith, for example), whose productivity rose by 50% after AI integration. Job satisfaction soared, with a significant 46% improvement noted by Employee 1 (John Smith). The 20% boost in skill that Employee 2 (Sarah Johnson) demonstrated highlights the efficacy of AI-driven training. AI use patterns that highlight individual differences in AI adoption include Employee 4 (Emily Brown) using AI for 21 hours. This research may be summarized by the following keywords: AI use, workforce productivity, job satisfaction, skills advancement, and AI integration.},

note = {Publisher: EDP Sciences},

keywords = {AI and White Collar Work},

pubstate = {published},

tppubtype = {article}

}

@article{cramarenco_impact_2023,

title = {The impact of artificial intelligence (AI) on employees’ skills and well-being in global labor markets: A systematic review},

author = {Romana Emilia Cramarenco and Monica Ioana Burcă-Voicu and Dan Cristian Dabija},

url = {https://journals.economic-research.pl/oc/article/view/2603},

doi = {10.24136/oc.2023.022},

issn = {2353-1827},

year  = {2023},

date = {2023-09-01},

urldate = {2024-11-24},

journal = {Oeconomia Copernicana},

volume = {14},

number = {3},

pages = {731–767},

abstract = {Research background: This article discusses how artificial intelligence (AI) is affecting workers' personal and professional lives, because of many technological disruptions driven by the recent pandemic that are redefining global labor markets. 

Purpose of the article: The objective of this paper is to develop a systematic review of the relevant literature to identify the effects of technological change, especially the adoption of AI in organizations, on employees’ skills (professional dimension) and well-being (personal dimension). 

Methods: To implement the research scope, the authors relied on Khan's five-step methodology, which included a PRISMA flowchart with embedded keywords for selecting the appropriate quantitative data for the study. Firstly, 639 scientific papers published between March 2020 to March 2023 (the end of the COVID-19 pandemic according to the WHO) from Scopus and Web of Science (WoS) databases were selected. After applying the relevant procedures and techniques, 103 articles were retained, which focused on the professional dimension, while 35 papers were focused on the personal component. 

Findings & value added: Evidence has been presented highlighting the difficulties associated with the ongoing requirement for upskilling or reskilling as an adaptive reaction to technological changes. The efforts to counterbalance the skill mismatch impacted employees' well-being in the challenging pandemic times. Although the emphasis on digital skills is widely accepted, our investigation shows that the topic is still not properly developed. The paper's most significant contributions are found in a thorough analysis of how AI affects workers' skills and well-being, highlighting the most representative aspects researched by academic literature due to the recent paradigm changes generated by the COVID-19 pandemic and continuous technological disruptions.},

note = {Number: 3},

keywords = {AI and White Collar Work},

pubstate = {published},

tppubtype = {article}

}

@article{hickok_policy_2023,

title = {A policy primer and roadmap on AI worker surveillance and productivity scoring tools},

author = {Merve Hickok and Nestor Maslej},

url = {https://doi.org/10.1007/s43681-023-00275-8},

doi = {10.1007/s43681-023-00275-8},

issn = {2730-5961},

year  = {2023},

date = {2023-08-01},

urldate = {2024-11-24},

journal = {AI and Ethics},

volume = {3},

number = {3},

pages = {673–687},

abstract = {Algorithmic worker surveillance and productivity scoring tools powered by artificial intelligence (AI) are becoming prevalent and ubiquitous technologies in the workplace. These tools are applied across white and blue-collar jobs, and gig economy roles. In the absence of legal protections, and strong collective action capabilities, workers are in an imbalanced power position to challenge the practices of employers using these tools. Use of such tools undermines human dignity and human rights. These tools are also built on fundamentally erroneous assumptions. The primer section of this paper provides stakeholders (policymakers, advocates, workers, and unions) with insights into assumptions embedded in workplace surveillance and scoring technologies, how employers use these systems which impact human rights. The roadmap section lays out actionable recommendations for policy and regulatory changes which can be enacted by federal agencies and labor unions. The paper uses major policy frameworks developed or supported by the United States as the foundation for policy recommendations. These are Universal Declaration of Human Rights, the Organisation for Economic Co-operation and Development (OECD) Principles for the Responsible Stewardship of Trustworthy AI (OECD AI Principles), Fair Information Practices (FIPs) and the White House Blueprint for an AI Bill of Rights.},

keywords = {AI and White Collar Work},

pubstate = {published},

tppubtype = {article}

}

@article{zeghmouli_are_2023,

title = {Are your back offices missing the AI train?},

author = {Nathalie Zeghmouli},

url = {https://doi.org/10.69554/OKYR8982},

year  = {2023},

date = {2023-06-01},

urldate = {2024-11-24},

journal = {Journal of Securities Operations & Custody},

volume = {15},

pages = {146–153},

abstract = {For the last few years, there has been no conference, no top management meeting where digitalisation and artificial intelligence are not part of the agenda. However, the reality shows that the financial industry in general and back offices in particular have undergone little transformation to date. While there are numerous white papers and analysis demonstrating how crucial it will be for the industry to rethink the operating processes, the published business cases remain relatively ‘shy’ and are addressing single areas, these being HR, legal or reconciliation. Those digitalisations provide targeted satisfaction and efficiencies but do not address the ageing, not to say dying, infrastructure and inherent inefficiencies. Back in 2017, a Capgemini survey1 demonstrated that 60 per cent of customer dissatisfaction arises from the back office. It is time to restructure back offices to remove those inefficiencies. To overcome the multiple challenges resulting from the legacy infrastructures, it will be key not only to modernise and digitalise the systems but also to recognise that efficient digital transformation cannot be decoupled from a fundamental back-office process remodel and mindset shift. It is important to be clear that artificial intelligence is not the ultimate solution but a suite of tools that supports this transformation. We, human beings, need to analyse, define and organise the back offices of 2025.},

keywords = {AI and White Collar Work},

pubstate = {published},

tppubtype = {article}

}

@article{zirar_worker_2023,

title = {Worker and workplace Artificial Intelligence (AI) coexistence: Emerging themes and research agenda},

author = {Araz Zirar and Syed Imran Ali and Nazrul Islam},

url = {https://www.sciencedirect.com/science/article/pii/S0166497223000585},

doi = {10.1016/j.technovation.2023.102747},

issn = {0166-4972},

year  = {2023},

date = {2023-06-01},

urldate = {2024-11-24},

journal = {Technovation},

volume = {124},

pages = {102747},

abstract = {Workplace Artificial Intelligence (AI) helps organisations increase operational efficiency, enable faster-informed decisions, and innovate products and services. While there is a plethora of information about how AI may provide value to workplaces, research on how workers and AI can coexist in workplaces is evolving. It is critical to explore emerging themes and research agendas to understand the trajectory of scholarly research in this area. This study's overarching research question is how workers will coexist with AI in workplaces. A search protocol was employed to find relevant articles in Scopus, ProQuest, and Web of Science databases based on appropriate and specific keywords and article inclusion and exclusion criteria. We identified four themes: (1) Workers' distrust in workplace AI stems from perceiving it as a job threat, (2) Workplace AI entices worker-AI interactions by offering to augment worker abilities, (3) AI and worker coexistence require workers' technical, human, and conceptual skills, and (4) Workers need ongoing reskilling and upskilling to contribute to a symbiotic relationship with workplace AI. We then developed four propositions with relevant research questions for future research. This review makes four contributions: (1) it argues that an existential argument better explains workers' distrust in AI, (2) it gathers the required skills for worker and AI coexistence and groups them into technical, human, and conceptual skills, (3) it suggests that technical skills benefit coexistence but cannot outweigh human and conceptual skills, and (4) it offers 20 evidence-informed research questions to guide future scholarly inquiries.},

keywords = {AI and White Collar Work},

pubstate = {published},

tppubtype = {article}

}

@article{sofia_morandini_impact_2023,

title = {The Impact of Artificial Intelligence on Workers’ Skills: Upskilling and Reskilling in Organisations},

author = {Sofia Morandini and Federico Fraboni and Marco De Angelis and Gabriele Puzzo and Davide Giusino and Luca Pietrantoni},

url = {https://www.informingscience.org/Publications/5078},

year  = {2023},

date = {2023-02-01},

urldate = {2024-11-24},

journal = {Informing Science},

volume = {26},

pages = {039–068},

abstract = {Aim/Purpose 

This paper examines the transformative impact of Artificial Intelligence (AI) on professional skills in organizations and explores strategies to address the resulting challenges. 

Background 

The rapid integration of AI across various sectors is automating tasks and reducing cognitive workload, leading to increased productivity but also raising concerns about job displacement. Successfully adapting to this transformation requires organizations to implement new working models and develop strategies for upskilling and reskilling their workforce. 

Methodology 

This review analyzes recent research and practice on AI's impact on human skills in organizations. We identify key trends in how AI is reshaping professional competencies and highlight the crucial role of transversal skills in this evolving landscape. The paper also discusses effective strategies to support organizations and guide workers through upskilling and reskilling processes. 

Contribution 

The paper contributes to the existing body of knowledge by examining recent trends in AI's impact on professional skills and workplaces. It emphasizes the importance of transversal skills and identifies strategies to support organizations and workers in meeting upskilling and reskilling challenges. Our findings suggest that investing in workforce development is crucial for ensuring that the benefits of AI are equitably distributed among all stakeholders. 

Findings 

Our findings indicate that organizations must employ a proactive approach to navigate the AI-driven transformation of the workplace. This approach involves mapping the transversal skills needed to address current skill gaps, helping workers identify and develop skills required for effective AI adoption, and implementing processes to support workers through targeted training and development opportunities. These strategies are essential for ensuring that workers' attitudes and mental models towards AI are adaptable and prepared for the changing labor market. 

Recommendation for Researchers 

We emphasize the need for researchers to adopt a transdisciplinary approach when studying AI's impact on the workplace. Given AI's complexity and its far-reaching implications across various fields including computer science, mathematics, engineering, and behavioral and social sciences, integrating diverse perspectives is crucial for a holistic understanding of AI's applications and consequences. 

Future Research 

Looking ahead, further research is needed to deepen our understanding of AI's impact on human skills, particularly the role of soft skills in AI adoption within organizations. Future studies should also address the challenges posed by Industry 5.0, which is expected to bring about even more extensive integration of new technologies and automation.},

keywords = {AI and White Collar Work},

pubstate = {published},

tppubtype = {article}

}

@article{fukumura_worker_2021,

title = {Worker Perspectives on Incorporating Artificial Intelligence into Office Workspaces: Implications for the Future of Office Work},

author = {Yoko E. Fukumura and Julie McLaughlin Gray and Gale M. Lucas and Burcin Becerik-Gerber and Shawn C. Roll},

url = {https://www.mdpi.com/1660-4601/18/4/1690},

doi = {10.3390/ijerph18041690},

issn = {1660-4601},

year  = {2021},

date = {2021-01-01},

urldate = {2024-11-24},

journal = {International Journal of Environmental Research and Public Health},

volume = {18},

number = {4},

pages = {1690},

abstract = {Workplace environments have a significant impact on worker performance, health, and well-being. With machine learning capabilities, artificial intelligence (AI) can be developed to automate individualized adjustments to work environments (e.g., lighting, temperature) and to facilitate healthier worker behaviors (e.g., posture). Worker perspectives on incorporating AI into office workspaces are largely unexplored. Thus, the purpose of this study was to explore office workers’ views on including AI in their office workspace. Six focus group interviews with a total of 45 participants were conducted. Interview questions were designed to generate discussion on benefits, challenges, and pragmatic considerations for incorporating AI into office settings. Sessions were audio-recorded, transcribed, and analyzed using an iterative approach. Two primary constructs emerged. First, participants shared perspectives related to preferences and concerns regarding communication and interactions with the technology. Second, numerous conversations highlighted the dualistic nature of a system that collects large amounts of data; that is, the potential benefits for behavior change to improve health and the pitfalls of trust and privacy. Across both constructs, there was an overarching discussion related to the intersections of AI with the complexity of work performance. Numerous thoughts were shared relative to future AI solutions that could enhance the office workplace. This study’s findings indicate that the acceptability of AI in the workplace is complex and dependent upon the benefits outweighing the potential detriments. Office worker needs are complex and diverse, and AI systems should aim to accommodate individual needs.},

note = {Number: 4 

Publisher: Multidisciplinary Digital Publishing Institute},

keywords = {AI and White Collar Work},

pubstate = {published},

tppubtype = {article}

}