Information Overload: Coping Mechanisms and Tools Impact

Aussu, Philippe

doi:10.1007/978-3-031-33080-3_49

Cited by 2 publications

(2 citation statements)

References 43 publications

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“…Organisational IPT seeks to explain how information management can be used to improve a variety of functions, such as decision-making, communication, knowledge management, problem-solving, innovation, and performance management [33]. By increasing their information processing capacity, organisations can enhance their effectiveness, efficiency, and competitiveness in a complex and dynamic business environment [34][35][36]. The development of information processing capacity should, therefore, play a core role in the strategic growth planning of an organisation [37].…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Digital Transformation as a Driver of Sustainability Performance—A Study from Freight and Logistics Industry

Mutambik

2024

Sustainability

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Over the past two decades, environmental sustainability has become a key corporate and organisational issue. Today, firms are increasingly turning to existing and emerging digital technologies to help ensure that they meet the medium and long-term needs and expectations of customers and other stakeholders with respect to sustainability performance. This raises the important question of which digitisation factors most significantly impact environmental sustainability performance, as well as the mediating factor of sustainability innovation balance (the ability of a firm to balance the exploration of new innovations with the exploitation of existing innovations). A comprehensive survey instrument was developed and refined through expert feedback and a pilot study, leading to data collection from 374 professionals in the Freight and Logistics industry in Saudi Arabia, all of whom held senior positions in areas such as business development, IT, and Environmental, Social, and Governance (ESG) departments. This data was then analysed using structural equation modelling (SEM). The results of this analysis showed that the key factors impacting sustainability performance were digital competence, strategy alignment, digital adaptability, innovation exploitation and innovation exploration. These findings contribute to the current literature by expanding our understanding of the real-world drivers of sustainability performance. In practical terms, the study will help managers improve sustainability performance by enhancing resource efficiency, streamlining, and supply chain management, as well as improving employee engagement and training, fostering a culture of sustainability within the organisation.

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Section: Theoretical Backgroundmentioning

confidence: 99%

Digital Transformation as a Driver of Sustainability Performance—A Study from Freight and Logistics Industry

Mutambik

2024

Sustainability

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“…Perceived information overload (PIO) Irritation (Dettmers and Krause, 2020); stress (Misra et al, 2020); tension (Theron, 2014); tiredness (Theron, 2014); loss of job satisfaction; (Theron, 2014); decision quality (Hwang and Lin, 1999) Through the use of AI-based DSSs that bundle and process information, the information overload should perceived to be less or its handling easier due to the new resource (Maes, 1995;Aussu, 2023).…”

Section: Stressorsmentioning

confidence: 99%

Psychological assessment of AI-based decision support systems: tool development and expected benefits

Buschmeyer,

Hatfield,

Zenner

2023

Front. Artif. Intell.

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This study aimed to develop an evaluation tool that assesses the use of AI-based decision support systems (DSSs) in professional practice from a human-centered perspective. Following the International Organization for Standardization, this perspective aims to ensure that the use of interactive technologies improves users' psychological load experience and behavior, e.g., in the form of reduced stress experience or increased performance. Concomitantly, this perspective attempts to proactively prevent or detect and correct the potential negative effects of these technologies on user load, such as impaired satisfaction and engagement, as early as possible. Based on this perspective, we developed and validated a questionnaire instrument, the Psychological Assessment of AI-based DSSs (PAAI), for the user-centered evaluation of the use of AI-based DSSs in practice. In particular, the instrument considers central design characteristics of AI-based DSSs and the corresponding work situation, which have a significant impact on users' psychological load. The instrument was tested in two independent studies. In Study 1, N = 223 individuals were recruited. Based on the results of item and scale analyses and an exploratory factor analysis, the newly developed instrument was refined, and the final version was tested using a confirmatory factor analysis. Findings showed acceptable-to-good fit indices, confirming the factorial validity of the PAAI. This was confirmed in a second study, which had N = 471 participants. Again, the CFA yielded acceptable-to-good fit indices. The validity was further confirmed using convergent and criterion validity analyses.

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Information Overload: Coping Mechanisms and Tools Impact

Cited by 2 publications

References 43 publications

Digital Transformation as a Driver of Sustainability Performance—A Study from Freight and Logistics Industry

Digital Transformation as a Driver of Sustainability Performance—A Study from Freight and Logistics Industry

Psychological assessment of AI-based decision support systems: tool development and expected benefits

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