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Dima J, Gilbert MH, Dextras-Gauthier J, Giraud L. The effects of artificial intelligence on human resource activities and the roles of the human resource triad: opportunities and challenges. Front Psychol 2024; 15:1360401. [PMID: 38903456 PMCID: PMC11188403 DOI: 10.3389/fpsyg.2024.1360401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Accepted: 05/13/2024] [Indexed: 06/22/2024] Open
Abstract
Introduction This study analyzes the existing academic literature to identify the effects of artificial intelligence (AI) on human resource (HR) activities, highlighting both opportunities and associated challenges, and on the roles of employees, line managers, and HR professionals, collectively referred to as the HR triad. Methods We employed the scoping review method to capture and synthesize relevant academic literature in the AI-human resource management (HRM) field, examining 27 years of research (43 peer-reviewed articles are included). Results Based on the results, we propose an integrative framework that outlines the five primary effects of AI on HR activities: task automation, optimized HR data use, augmentation of human capabilities, work context redesign, and transformation of the social and relational aspects of work. We also detail the opportunities and challenges associated with each of these effects and the changes in the roles of the HR triad. Discussion This research contributes to the ongoing debate on AI-augmented HRM by discussing the theoretical contributions and managerial implications of our findings, along with avenues for future research. By considering the most recent studies on the topic, this scoping review sheds light on the effects of AI on the roles of the HR triad, enabling these key stakeholders to better prepare for this technological change. The findings can inform future academic research, organizations using or considering the application of AI in HRM, and policymakers. This is particularly timely, given the growing adoption of AI in HRM activities.
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Affiliation(s)
- Justine Dima
- School of Engineering and Management Vaud, HES-SO, Yverdon-les-Bains, Switzerland
| | - Marie-Hélène Gilbert
- Department of Management, Faculty of Business Administration, Laval University, Quebec, QC, Canada
| | - Julie Dextras-Gauthier
- Department of Management, Faculty of Business Administration, Laval University, Quebec, QC, Canada
| | - Laurent Giraud
- IREGE, IAE Savoie Mont Blanc, Savoie Mont Blanc University, Annecy, France
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Lind CM, Abtahi F, Forsman M. Wearable Motion Capture Devices for the Prevention of Work-Related Musculoskeletal Disorders in Ergonomics-An Overview of Current Applications, Challenges, and Future Opportunities. SENSORS (BASEL, SWITZERLAND) 2023; 23:s23094259. [PMID: 37177463 PMCID: PMC10181376 DOI: 10.3390/s23094259] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 04/14/2023] [Accepted: 04/22/2023] [Indexed: 05/15/2023]
Abstract
Work-related musculoskeletal disorders (WMSDs) are a major contributor to disability worldwide and substantial societal costs. The use of wearable motion capture instruments has a role in preventing WMSDs by contributing to improvements in exposure and risk assessment and potentially improved effectiveness in work technique training. Given the versatile potential for wearables, this article aims to provide an overview of their application related to the prevention of WMSDs of the trunk and upper limbs and discusses challenges for the technology to support prevention measures and future opportunities, including future research needs. The relevant literature was identified from a screening of recent systematic literature reviews and overviews, and more recent studies were identified by a literature search using the Web of Science platform. Wearable technology enables continuous measurements of multiple body segments of superior accuracy and precision compared to observational tools. The technology also enables real-time visualization of exposures, automatic analyses, and real-time feedback to the user. While miniaturization and improved usability and wearability can expand the use also to more occupational settings and increase use among occupational safety and health practitioners, several fundamental challenges remain to be resolved. The future opportunities of increased usage of wearable motion capture devices for the prevention of work-related musculoskeletal disorders may require more international collaborations for creating common standards for measurements, analyses, and exposure metrics, which can be related to epidemiologically based risk categories for work-related musculoskeletal disorders.
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Affiliation(s)
- Carl Mikael Lind
- IMM Institute of Environmental Medicine, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Farhad Abtahi
- Division of Ergonomics, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, 141 57 Huddinge, Sweden
- Department of Clinical Science, Intervention and Technology, Karolinska Institutet, 171 77 Stockholm, Sweden
- Department of Clinical Physiology, Karolinska University Hospital, 141 86 Huddinge, Sweden
| | - Mikael Forsman
- IMM Institute of Environmental Medicine, Karolinska Institutet, 171 77 Stockholm, Sweden
- Division of Ergonomics, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, 141 57 Huddinge, Sweden
- Centre for Occupational and Environmental Medicine, Stockholm County Council, 113 65 Stockholm, Sweden
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Meske C, Amojo I, Thapa D. A conceptual model of feedback mechanisms in adjusted affordances – Insights from usage of a mental mobile health application. INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT 2023. [DOI: 10.1016/j.ijinfomgt.2022.102597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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4
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Lai MYC, Mong MSA, Cheng LJ, Lau Y. The effect of wearable-delivered sleep interventions on sleep outcomes among adults: A systematic review and meta-analysis of randomized controlled trials. Nurs Health Sci 2022; 25:44-62. [PMID: 36572659 DOI: 10.1111/nhs.13011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 12/01/2022] [Accepted: 12/21/2022] [Indexed: 12/28/2022]
Abstract
The aims of the review were to (i) evaluate the effectiveness of wearable-delivered sleep interventions on sleep outcomes among adults, and (ii) explore the effect of factors affecting total sleep time. Eight databases were searched to identify relevant studies in English from inception until December 23, 2021. The Cochrane Risk of Bias tool version 2.0 and Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) criteria were used to assess the risk of bias and certainty of the evidence, respectively. Twenty randomized controlled trials (RCTs) were included, involving 1608 adults across nine countries. Wearable-delivered sleep interventions elicited significant improvement of 1.96 events/h for the oxygen desaturation index and 3.13 events/h for the respiratory distress index. Meta-analyses found that wearable-delivered sleep interventions significantly decreased sleep disturbance (Hedges' g [g] = -0.37, 95% confidence interval [CI]: -0.59, -0.15) and sleep-related impairment (g = -1.06, 95% CI: -1.99, -0.13) versus the comparators. The wearable-delivered sleep interventions may complement usual care to improve sleep outcomes. More rigorous RCTs with a long-term assessment in a wide range of populations are warranted.
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Affiliation(s)
- Min Yi Calida Lai
- Division of Nursing, KK Women's and Children's Hospital, Singapore Health Services, Singapore, Singapore
| | - Mei Siew Andrea Mong
- Nursing Division, Singapore General Hospital, Singapore Health Services, Singapore, Singapore
| | - Ling Jie Cheng
- Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Ying Lau
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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Patterns of Sociotechnical Design Preferences of Chatbots for Intergenerational Collaborative Innovation: A Q Methodology Study. HUMAN BEHAVIOR AND EMERGING TECHNOLOGIES 2022. [DOI: 10.1155/2022/8206503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Chatbot technology is increasingly emerging as a virtual assistant. Chatbots could allow individuals and organizations to accomplish objectives that are currently not fully optimized for collaboration across an intergenerational context. This paper explores the preferences of chatbots as a companion in intergenerational innovation. The Q methodology was used to investigate different types of collaborators and determine how different choices occur between collaborators that merge the problem and solution domains of chatbots’ design within intergenerational settings. The study’s findings reveal that various chatbot design priorities are more diverse among younger adults than senior adults. Additionally, our research further outlines the principles of chatbot design and how chatbots will support both generations. This research is the first step towards cultivating a deeper understanding of different age groups’ subjective design preferences for chatbots functioning as a companion in the workplace. Moreover, this study demonstrates how the Q methodology can guide technological development by shifting the approach from an age-focused design to a common goal-oriented design within a multigenerational context.
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Pütz S, Rick V, Mertens A, Nitsch V. Using IoT devices for sensor-based monitoring of employees' mental workload: Investigating managers' expectations and concerns. APPLIED ERGONOMICS 2022; 102:103739. [PMID: 35279467 DOI: 10.1016/j.apergo.2022.103739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 02/24/2022] [Accepted: 03/01/2022] [Indexed: 06/14/2023]
Abstract
Although the objective assessment of mental workload has been a focus of human factors research, few studies have investigated stakeholders' attitudes towards its implementation in real workplaces. The present study addresses this research gap by surveying N = 702 managers in three European countries (Germany, United Kingdom, Spain) about their expectations and concerns regarding sensor-based monitoring of employee mental workload. The data confirm the relevance of expectations regarding improvements of workplace design and employee well-being, as well as concerns about restrictions of employees' privacy and sovereignty, for the implementation of workload monitoring. Furthermore, Bayesian regression models show that the examined expectations have a substantial positive association with managers' willingness to support workload monitoring in their company. Privacy concerns are identified as a significant barrier to the acceptance of workload monitoring, both in terms of their prevalence among managers and their strong negative relationship with monitoring support.
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Affiliation(s)
- Sebastian Pütz
- Institute of Industrial Engineering and Ergonomics, RWTH Aachen University, Eilfschornsteinstr. 18, 52062, Aachen, Germany.
| | - Vera Rick
- Institute of Industrial Engineering and Ergonomics, RWTH Aachen University, Eilfschornsteinstr. 18, 52062, Aachen, Germany
| | - Alexander Mertens
- Institute of Industrial Engineering and Ergonomics, RWTH Aachen University, Eilfschornsteinstr. 18, 52062, Aachen, Germany
| | - Verena Nitsch
- Institute of Industrial Engineering and Ergonomics, RWTH Aachen University, Eilfschornsteinstr. 18, 52062, Aachen, Germany; Fraunhofer Institute for Communication, Information Processing and Ergonomics FKIE, Campus-Boulevard 55-57, 52074, Aachen, Germany
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Ciuchita R, Medberg G, Penttinen V, Lutz C, Heinonen K. Affordances advancing user-created communication (UCC) in service: interactivity, visibility and anonymity. JOURNAL OF SERVICE MANAGEMENT 2022. [DOI: 10.1108/josm-10-2021-0407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeDigital platform users not only consume but also produce communication related to their experiences. Although service research has explored users' motivations to communicate and focused on outcomes such as electronic word-of-mouth (eWOM), it remains largely unexplored how users iteratively interact with communication artifacts and potentially create value for themselves, other users and service providers. The purpose of this paper is, thus, to introduce communicative affordances as a framework to advance user-created communication (UCC) in service.Design/methodology/approachDrawing from the literature in communication, service research and interactive marketing, an affordance perspective on UCC in service is introduced.FindingsThree UCC affordances for the service context are presented – interactivity, visibility and anonymity – opportunities and challenges for service providers associated with these affordances are discussed and, finally, affordance-specific research questions and general recommendations for future research are offered.Research limitations/implicationsBy conceptualizing UCC in service from an affordances perspective, this paper moves beyond the traditional sender–receiver communication framework and emphasizes opportunities and challenges for service research and practice.Practical implicationsInstead of focusing separately on specific technologies or user behaviors, it is recommended that service managers adopt a holistic perspective of user goals and motivations, use experiences and platform design.Originality/valueBy conceptualizing UCC as an augmenting, dialogical process concerning users’ experiences, and by introducing communicative affordances as a framework to advance UCC in service, an in-depth understanding of the diverse and ever-evolving landscape of communication in service is offered.
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Wang L, Sun Y, Luo X(R. Game affordance, gamer orientation, and in‐game purchases: A hedonic–instrumental framework. INFORMATION SYSTEMS JOURNAL 2022. [DOI: 10.1111/isj.12384] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Affiliation(s)
- Le Wang
- School of Management Xi‘an Jiaotong University Xi'an China
| | - Yongqiang Sun
- School of Information Management Wuhan University Wuhan China
| | - Xin (Robert) Luo
- Anderson School of Management University of New Mexico Albuquerque New Mexico USA
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El-Masri M, Al-Yafi K, Kamal MM. A Task-Technology-Identity Fit Model of Smartwatch Utilisation and User Satisfaction: A Hybrid SEM-Neural Network Approach. INFORMATION SYSTEMS FRONTIERS : A JOURNAL OF RESEARCH AND INNOVATION 2022; 25:835-852. [PMID: 35378907 PMCID: PMC8966600 DOI: 10.1007/s10796-022-10256-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 02/02/2022] [Indexed: 06/14/2023]
Abstract
Smartwatches are wearable devices intended to be smartphone companions that capture health data and ease access to notifications. They have also become personalisable standing as a fashion statement. This combination resulted in staggering adoption rates recently leading to question whether smartwatch users' choice and use satisfaction emerge from utility features or from its fashion characteristics. This paper proposes and validates a fit theory to investigate the antecedents of adopters' satisfaction. Besides evaluating fit with identity, the model assesses both perceived and actual task-technology fit of smartwatches. A questionnaire-based quantitative approach is used to collect data from about 300 smartwatch users in Qatar. To test the proposed model, data is analysed using structural equation modeling (SEM) and artificial neural networks (ANN). Furthermore, ANN sensitivity analysis ranks the importance of the fit factors affecting users' choice during pre- and post-adoption stages. Both task-technology and technology-identity fit factors are quasi-equally important in explaining 62% of satisfaction variance. ANN analysis revealed that post-adoption satisfaction is primarily attributed to smartwatches' ability to fit with users' identity and secondarily to its perceived fit with tasks. Nevertheless, pre-adoption choice of smartwatches is mainly guided by their functionality. This paper is the first to propose and validate an integrated task-technology-identity fit model to explain smartwatch utilization and users' satisfaction. The originality also lies in assessing actual task-technology fit and as perceived by users. Employing two modes of analysis revealed extra insights too.
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Affiliation(s)
- Mazen El-Masri
- College of Business and Economics, Qatar University, Doha, Qatar
| | - Karim Al-Yafi
- College of Business and Economics, Qatar University, Doha, Qatar
| | - Muhammad Mustafa Kamal
- School of Strategy & Leadership, Coventry Business School, Coventry University, Coventry, UK
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Employees’ privacy perceptions: exploring the dimensionality and antecedents of personal data sensitivity and willingness to disclose. PROCEEDINGS ON PRIVACY ENHANCING TECHNOLOGIES 2022. [DOI: 10.2478/popets-2022-0036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Abstract
The processing of employees’ personal data is dramatically increasing, yet there is a lack of tools that allow employees to manage their privacy. In order to develop these tools, one needs to understand what sensitive personal data are and what factors influence employees’ willingness to disclose. Current privacy research, however, lacks such insights, as it has focused on other contexts in recent decades. To fill this research gap, we conducted a cross-sectional survey with 553 employees from Germany. Our survey provides multiple insights into the relationships between perceived data sensitivity and willingness to disclose in the employment context. Among other things, we show that the perceived sensitivity of certain types of data differs substantially from existing studies in other contexts. Moreover, currently used legal and contextual distinctions between different types of data do not accurately reflect the subtleties of employees’ perceptions. Instead, using 62 different data elements, we identified four groups of personal data that better reflect the multi-dimensionality of perceptions. However, previously found common disclosure antecedents in the context of online privacy do not seem to affect them. We further identified three groups of employees that differ in their perceived data sensitivity and willingness to disclose, but neither in their privacy beliefs nor in their demographics. Our findings thus provide employers, policy makers, and researchers with a better understanding of employees’ privacy perceptions and serve as a basis for future targeted research on specific types of personal data and employees.
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Óskarsdóttir M, Islind AS, August E, Arnardóttir ES, Patou F, Maier AM. Importance of Getting Enough Sleep and Daily Activity Data to Assess Variability: Longitudinal Observational Study. JMIR Form Res 2022; 6:e31807. [PMID: 35191850 PMCID: PMC8905485 DOI: 10.2196/31807] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 10/17/2021] [Accepted: 11/28/2021] [Indexed: 01/26/2023] Open
Abstract
Background
The gold standard measurement for recording sleep is polysomnography performed in a hospital environment for 1 night. This requires individuals to sleep with a device and several sensors attached to their face, scalp, and body, which is both cumbersome and expensive. Self-trackers, such as wearable sensors (eg, smartwatch) and nearable sensors (eg, sleep mattress), can measure a broad range of physiological parameters related to free-living sleep conditions; however, the optimal duration of such a self-tracker measurement is not known. For such free-living sleep studies with actigraphy, 3 to 14 days of data collection are typically used.
Objective
The primary goal of this study is to investigate if 3 to 14 days of sleep data collection is sufficient while using self-trackers. The secondary goal is to investigate whether there is a relationship among sleep quality, physical activity, and heart rate. Specifically, we study whether individuals who exhibit similar activity can be clustered together and to what extent the sleep patterns of individuals in relation to seasonality vary.
Methods
Data on sleep, physical activity, and heart rate were collected over 6 months from 54 individuals aged 52 to 86 years. The Withings Aura sleep mattress (nearable; Withings Inc) and Withings Steel HR smartwatch (wearable; Withings Inc) were used. At the individual level, we investigated the consistency of various physical activities and sleep metrics over different time spans to illustrate how sensor data from self-trackers can be used to illuminate trends. We used exploratory data analysis and unsupervised machine learning at both the cohort and individual levels.
Results
Significant variability in standard metrics of sleep quality was found between different periods throughout the study. We showed specifically that to obtain more robust individual assessments of sleep and physical activity patterns through self-trackers, an evaluation period of >3 to 14 days is necessary. In addition, we found seasonal patterns in sleep data related to the changing of the clock for daylight saving time.
Conclusions
We demonstrate that >2 months’ worth of self-tracking data are needed to provide a representative summary of daily activity and sleep patterns. By doing so, we challenge the current standard of 3 to 14 days for sleep quality assessment and call for the rethinking of standards when collecting data for research purposes. Seasonal patterns and daylight saving time clock change are also important aspects that need to be taken into consideration when choosing a period for collecting data and designing studies on sleep. Furthermore, we suggest using self-trackers (wearable and nearable ones) to support longer-term evaluations of sleep and physical activity for research purposes and, possibly, clinical purposes in the future.
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Affiliation(s)
- María Óskarsdóttir
- Department of Computer Science, Reykjavík University, Reykjavík, Iceland
- Reykjavík University Sleep Institute, School of Technology, Reykjavík University, Reykjavík, Iceland
| | - Anna Sigridur Islind
- Department of Computer Science, Reykjavík University, Reykjavík, Iceland
- Reykjavík University Sleep Institute, School of Technology, Reykjavík University, Reykjavík, Iceland
| | - Elias August
- Reykjavík University Sleep Institute, School of Technology, Reykjavík University, Reykjavík, Iceland
- Department of Engineering, Reykjavík University, Reykjavík, Iceland
| | - Erna Sif Arnardóttir
- Department of Computer Science, Reykjavík University, Reykjavík, Iceland
- Reykjavík University Sleep Institute, School of Technology, Reykjavík University, Reykjavík, Iceland
- Department of Engineering, Reykjavík University, Reykjavík, Iceland
- Internal Medicine Services, Landspitali University Hospital, Reykjavík, Iceland
| | - François Patou
- Department of Technology, Management and Economics, DTU-Technical University of Denmark, Copenhagen, Denmark
- Oticon Medical, Copenhagen, Denmark
| | - Anja M Maier
- Department of Technology, Management and Economics, DTU-Technical University of Denmark, Copenhagen, Denmark
- Department of Design, Manufacturing and Engineering Management, Faculty of Engineering, University of Strathclyde, Glasgow, United Kingdom
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Junker M, Böhm M, Franz M, Fritsch T, Krcmar H. Value of normative belief in intention to use workplace health promotion apps. BMC Med Inform Decis Mak 2022; 22:30. [PMID: 35109836 PMCID: PMC8812227 DOI: 10.1186/s12911-022-01760-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Accepted: 01/15/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Mobile applications (apps) have started to be used for workplace health promotion (WHP). However, the factors that lead to the usage of apps in the workplace from the end-user perspective remain unclear. METHODS To investigate the research gap, the study evaluates a model for the adoption of WHP apps by combining the theory of planned behavior, the health belief model, and the technology acceptance model. A self-administered questionnaire with validated scales among 354 participants was used to evaluate the proposed model for WHP. RESULTS Although the study indicated a limited overall model fit, interesting aspects were derived. In particular, the study demonstrated that normative belief (especially), perceived usefulness, and attitudinal belief play important roles in the intention to use WHP apps. CONCLUSION The study is among the first to validate the theoretical models of mHealth adoption for WHP. Moreover, it shows that not only normative belief but also adjustment to several target groups is a necessary factor to be considered in the development and implementation of an app for WHP.
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Affiliation(s)
- Maren Junker
- Department of Informatics, Technical University of Munich, Boltzmannstraße 3, 85748, Garching bei München, Germany.
| | - Markus Böhm
- Department of Informatics, University of Applied Sciences Landshut, Am Lurzenhof 1, 84036, Landshut, Germany
| | | | | | - Helmut Krcmar
- Department of Informatics, Technical University of Munich, Boltzmannstraße 3, 85748, Garching bei München, Germany
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Howard J, Murashov V, Cauda E, Snawder J. Advanced sensor technologies and the future of work. Am J Ind Med 2022; 65:3-11. [PMID: 34647336 DOI: 10.1002/ajim.23300] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 09/27/2021] [Accepted: 09/30/2021] [Indexed: 01/09/2023]
Abstract
Exposure science is fundamental to the field of occupational safety and health. The measurement of worker exposures to hazardous agents informs effective workplace risk mitigation strategies. The modern era of occupational exposure measurement began with the invention of the personal sampling device, which is still widely used today in the practice of occupational hygiene. Newer direct-reading sensor devices are incorporating recent advances in transducers, nanomaterials, electronics miniaturization, portability, batteries with high-power density, wireless communication, energy-efficient microprocessing, and display technology to usher in a new era in exposure science. Commercial applications of new sensor technologies have led to a variety of health and lifestyle management devices for everyday life. These applications are also being investigated as tools to measure occupational and environmental exposures. As the next-generation placeable, wearable, and implantable sensor technologies move from the research laboratory to the workplace, their role in the future of work will be of increasing importance to employers, workers, and occupational safety and health researchers and practitioners. This commentary discusses some of the benefits and challenges of placeable, wearable, and implantable sensor technologies in the future of work.
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Affiliation(s)
- John Howard
- Office of the Director, National Institute for Occupational Safety and Health, Washington District of Columbia USA
| | - Vladimir Murashov
- Office of the Director, National Institute for Occupational Safety and Health, Washington District of Columbia USA
| | - Emanuele Cauda
- Center for Direct Reading and Sensor Technologies, Pittsburgh Mining Research Division National Institute for Occupational Safety and Health Pittsburgh Pennsylvania USA
| | - John Snawder
- Center for Direct Reading and Sensor Technologies, Health Effects Laboratory Division National Institute for Occupational Safety and Health Cincinnati Ohio USA
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A Governance Framework to Assist with the Adoption of Sensing Technologies in Construction. SENSORS 2021; 22:s22010260. [PMID: 35009799 PMCID: PMC8749552 DOI: 10.3390/s22010260] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Revised: 12/10/2021] [Accepted: 12/16/2021] [Indexed: 11/25/2022]
Abstract
Sensing technologies present great improvements in construction performance including the safety, productivity, and quality. However, the corresponding applications in real projects are far behind compared with the academically research. This research aims to discover dominate influence factors in the sensing technologies adoption and ultimately develop a governance framework facilitating adoption processes. The framework is dedicated on general sensing technologies rather than single sensor in previous framework studies. To begin with, the influence factors of sensing technologies and other similar emerging technologies are summarised through a review. Then, a mixed methods design was employed to collect quantitative data through an online survey, and qualitative data through semi-structured interviews. Findings of the quantitative method reveal that the most widely implemented sensing technologies are GPS and visual sensing technology, but they’re still not adopted by all construction companies. Partial Least Squares Structural Equation Modelling reveals that supplier characteristics have the highest effect in all influence factors. Qualitative method was adopted to investigate perceptions of construction stakeholders on the major decision-making considerations in the adoption process. Ultimately, a triangulation analysis of findings from the literature review, online survey and interviews resulted in the governance framework development. The overarching contribution of this research focus on the general adoption of sensing technologies rather than the adoption of a specific sensor. Therefore, the governance framework can assist with the decision-making process of any sensing technology adoption in construction.
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Arabshahi M, Wang D, Sun J, Rahnamayiezekavat P, Tang W, Wang Y, Wang X. Review on Sensing Technology Adoption in the Construction Industry. SENSORS 2021; 21:s21248307. [PMID: 34960401 PMCID: PMC8704534 DOI: 10.3390/s21248307] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 12/03/2021] [Accepted: 12/09/2021] [Indexed: 11/16/2022]
Abstract
Sensing technologies demonstrate promising potential in providing the construction industry with a safe, productive, and high-quality process. The majority of sensing technologies in the construction research area have been focused on construction automation research in prefabrication, on-site operation, and logistics. However, most of these technologies are either not implemented in real construction projects or are at the very early stages in practice. The corresponding applications are far behind, even in extensively researched aspects such as Radio Frequency Identification, ultra-wideband technology, and Fiber Optic Sensing technology. This review systematically investigates the current status of sensing technologies in construction from 187 articles and explores the reasons responsible for their slow adoption from 69 articles. First, this paper identifies common sensing technologies and investigates their implementation extent. Second, contributions and limitations of sensing technologies are elaborated to understand the current status. Third, key factors influencing the adoption of sensing technologies are extracted from construction stakeholders' experience. Demand towards sensing technologies, benefits and suitability of them, and barriers to their adoption are reviewed. Lastly, the governance framework is determined as the research tendency facilitating sensing technologies adoption. This paper provides a theoretical basis for the governance framework development. It will promote the sensing technologies adoption and improve construction performance including safety, productivity, and quality.
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Affiliation(s)
- Mona Arabshahi
- School of Design and Built Environment, Curtin University, Perth, WA 6102, Australia; (M.A.); (Y.W.)
| | - Di Wang
- School of Civil Engineering, Chongqing University, Chongqing 400045, China; (D.W.); (W.T.)
| | - Junbo Sun
- Institute for Smart City of Chongqing University in Liyang, Chongqing University, Liyang 213300, China;
| | | | - Weichen Tang
- School of Civil Engineering, Chongqing University, Chongqing 400045, China; (D.W.); (W.T.)
| | - Yufei Wang
- School of Design and Built Environment, Curtin University, Perth, WA 6102, Australia; (M.A.); (Y.W.)
| | - Xiangyu Wang
- School of Design and Built Environment, Curtin University, Perth, WA 6102, Australia; (M.A.); (Y.W.)
- Correspondence:
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Nevo S, Nevo D, Pinsonneault A. Personal Achievement Goals, Learning Strategies, and Perceived IT Affordances. INFORMATION SYSTEMS RESEARCH 2021. [DOI: 10.1287/isre.2021.1025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
What people perceive when they interact with technologies are not the features and functionalities of the technology but rather the behaviors it affords them. Affordance perception determines how organizational information technology (IT) is used by employees and the benefits they provide to organizations and their members. In this article, we explain how employees who pursue different personal goals and use various learning strategies come to perceive different IT affordances. We identify three distinct pathways: (1) performance-avoidance goals are positively associated with surface processing, which leads to perceptions of common in-role IT affordances; (2) performance-approach goals are positively associated with surface processing and effort regulation and these learning strategies lead to perceptions of common and specialized in-role IT affordances; and (3) mastery goals are associated with deep processing, effort regulation, and peer learning, which are positively associated with perceptions of specialized in-role and extra-role IT affordances. By identifying the different pathways to perceived affordances, the article identifies potential interventions that can help managers steer employees toward certain affordances and away from other, less desirable affordances.
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Affiliation(s)
- Saggi Nevo
- School of Business, University at Albany, Albany, New York 12222
| | - Dorit Nevo
- Lally School of Management, Rensselaer Polytechnic Institute, Troy, New York 12180
| | - Alain Pinsonneault
- Desautels Faculty of Management, McGill University, Montreal, Quebec H3A 1G5, Canada
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A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective. HUMAN RESOURCE MANAGEMENT REVIEW 2021. [DOI: 10.1016/j.hrmr.2021.100857] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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Arnardottir ES, Islind AS, Óskarsdóttir M. The Future of Sleep Measurements: A Review and Perspective. Sleep Med Clin 2021; 16:447-464. [PMID: 34325822 DOI: 10.1016/j.jsmc.2021.05.004] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
This article provides an overview of the current use, limitations, and future directions of the variety of subjective and objective sleep assessments available. This article argues for various ways and sources of collecting, combining, and using data to enlighten clinical practice and the sleep research of the future. It highlights the prospects of digital management platforms to store and present the data, and the importance of codesign when developing such platforms and other new instruments. It also discusses the abundance of opportunities that data science and machine learning open for the analysis of data.
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Affiliation(s)
- Erna Sif Arnardottir
- Reykjavik University Sleep Institute, School of Technology, Reykjavik University, Menntavegi 1, 102 Reykjavik, Iceland; Internal Medicine Services, Landspitali University Hospital, E7 Fossvogi, 108 Reykjavik, Iceland.
| | - Anna Sigridur Islind
- Reykjavik University Sleep Institute, School of Technology, Reykjavik University, Menntavegi 1, 102 Reykjavik, Iceland; Department of Computer Science, Reykjavik University, Menntavegi 1, 102 Reykjavik, Iceland
| | - María Óskarsdóttir
- Reykjavik University Sleep Institute, School of Technology, Reykjavik University, Menntavegi 1, 102 Reykjavik, Iceland; Department of Computer Science, Reykjavik University, Menntavegi 1, 102 Reykjavik, Iceland
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Mettler T, Daurer S, Bächle MA, Judt A. Do‐it‐yourself as a means for making assistive technology accessible to elderly people: Evidence from the ICARE project. INFORMATION SYSTEMS JOURNAL 2021. [DOI: 10.1111/isj.12352] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Affiliation(s)
- Tobias Mettler
- Swiss Graduate School of Public Administration, University of Lausanne Lausanne Switzerland
| | - Stephan Daurer
- Department for Management Information Systems Baden‐Wuerttemberg Cooperative State University Ravensburg Ravensburg Germany
| | - Michael A. Bächle
- Department for Management Information Systems Baden‐Wuerttemberg Cooperative State University Ravensburg Ravensburg Germany
| | - Andreas Judt
- Department for Informatics Baden‐Wuerttemberg Cooperative State University Ravensburg Friedrichshafen Germany
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Exploring mental models of the right to informational self-determination of office workers in Germany. PROCEEDINGS ON PRIVACY ENHANCING TECHNOLOGIES 2021. [DOI: 10.2478/popets-2021-0035] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Abstract
Applied privacy research has so far focused mainly on consumer relations in private life. Privacy in the context of employment relationships is less well studied, although it is subject to the same legal privacy framework in Europe. The European General Data Protection Regulation (GDPR) has strengthened employees’ right to privacy by obliging that employers provide transparency and intervention mechanisms. For such mechanisms to be effective, employees must have a sound understanding of their functions and value. We explored possible boundaries by conducting a semi-structured interview study with 27 office workers in Germany and elicited mental models of the right to informational self-determination, which is the European proxy for the right to privacy. We provide insights into (1) perceptions of different categories of data, (2) familiarity with the legal framework regarding expectations for privacy controls, and (3) awareness of data processing, data flow, safeguards, and threat models. We found that legal terms often used in privacy policies used to describe categories of data are misleading. We further identified three groups of mental models that differ in their privacy control requirements and willingness to accept restrictions on their privacy rights. We also found ignorance about actual data flow, processing, and safeguard implementation. Participants’ mindsets were shaped by their faith in organizational and technical measures to protect privacy. Employers and developers may benefit from our contributions by understanding the types of privacy controls desired by office workers and the challenges to be considered when conceptualizing and designing usable privacy protections in the workplace.
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A framework for understanding artificial intelligence research: insights from practice. JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT 2021. [DOI: 10.1108/jeim-07-2020-0284] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeThe current evolution of artificial intelligence (AI) practices and applications is creating a disconnection between modern-day information system (IS) research and practices. The purpose of this study is to propose a classification framework that connects the IS discipline to contemporary AI practices.Design/methodology/approachWe conducted a review of practitioner literature to derive our framework's key dimensions. We reviewed 103 documents on AI published by 25 leading technology companies ranked in the 2019 list of Fortune 500 companies. After that, we reviewed and classified 110 information system (IS) publications on AI using our proposed framework to demonstrate its ability to classify IS research on AI and reveal relevant research gaps.FindingsPractitioners have adopted different definitional perspectives of AI (field of study, concept, ability, system), explaining the differences in the development, implementation and expectations from AI experienced today. All these perspectives suggest that perception, comprehension, action and learning are the four capabilities AI artifacts must possess. However, leading IS journals have mostly published research adopting the “AI as an ability” perspective of AI with limited theoretical and empirical studies on AI adoption, use and impact.Research limitations/implicationsFirst, the framework is based on the perceptions of AI by a limited number of companies, although it includes all the companies leading current AI practices. Secondly, the IS literature reviewed is limited to a handful of journals. Thus, the conclusions may not be generalizable. However, they remain true for the articles reviewed, and they all come from well-respected IS journals.Originality/valueThis is the first study to consider the practitioner's AI perspective in designing a conceptual framework for AI research classification. The proposed framework and research agenda are used to show how IS could become a reference discipline in contemporary AI research.
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Turel O, Matt C, Trenz M, Cheung CM. An intertwined perspective on technology and digitised individuals: Linkages, needs and outcomes. INFORMATION SYSTEMS JOURNAL 2020. [DOI: 10.1111/isj.12304] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Ofir Turel
- Information Systems and Decision Sciences California State University ‐ Fullerton Fullerton USA
| | - Christian Matt
- Institute of Information Systems University of Bern Bern Switzerland
| | - Manuel Trenz
- Faculty of Business and Economics University of Goettingen Goettingen Germany
| | - Christy M.K. Cheung
- Department of Finance and Decision Sciences Hong Kong Baptist University Kowloon Tong, Kowloon China
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Health promotion with physiolytics: What is driving people to subscribe in a data-driven health plan. PLoS One 2020; 15:e0231705. [PMID: 32294126 PMCID: PMC7159238 DOI: 10.1371/journal.pone.0231705] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Accepted: 03/30/2020] [Indexed: 12/04/2022] Open
Abstract
Data-driven health promotion programs and health plans try to harness the new possibilities of ubiquitous and pervasive physiolytics devices. In this paper we seek to explore what drives people to subscribe to such a data-driven health plan. Our study reveals that the decision to subscribe to a data-driven health plan is strongly influenced by the beliefs of seeing physiolytics as enabler for positive health behavior change and of perceiving health insurances as trustworthy organizations that are capable of securely and righteously manage the data collected by physiolytics.
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Guenduez AA, Mettler T, Schedler K. Technological frames in public administration: What do public managers think of big data? GOVERNMENT INFORMATION QUARTERLY 2020. [DOI: 10.1016/j.giq.2019.101406] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Shang D, Wu W. Employee’s ubiquitous learning engagement: Impact of innovativeness-oriented learning system design factors and the mediating role of imagery. TELEMATICS AND INFORMATICS 2019. [DOI: 10.1016/j.tele.2019.04.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Yassaee M, Mettler T, Winter R. Principles for the design of digital occupational health systems. INFORMATION AND ORGANIZATION 2019. [DOI: 10.1016/j.infoandorg.2019.04.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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James TL, Deane JK, Wallace L. An application of goal content theory to examine how desired exercise outcomes impact fitness technology feature set selection. INFORMATION SYSTEMS JOURNAL 2019. [DOI: 10.1111/isj.12233] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Tabitha L. James
- Department of Business Information Technology, Pamplin College of BusinessVirginia Tech Blacksburg Virginia
| | - Jason K. Deane
- Department of Business Information Technology, Pamplin College of BusinessVirginia Tech Blacksburg Virginia
| | - Linda Wallace
- Department of Accounting and Information Systems, Pamplin College of BusinessVirginia Tech Blacksburg Virginia
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Barata J, da Cunha PR. Safety Is the New Black: The Increasing Role of Wearables in Occupational Health and Safety in Construction. BUSINESS INFORMATION SYSTEMS 2019. [DOI: 10.1007/978-3-030-20485-3_41] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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