Effects of automated communication on team members’ activity and social presence awareness, commitment, and motivation in human-autonomy teams

Graf, Benedikt; Antoni, Conny Herbert; Müller, Rebecca; Schischke, David; Ellwart, Thomas

doi:10.1016/j.chb.2023.107925

Cited by 3 publications

(1 citation statement)

References 76 publications

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“…Recurrently the previous decade, the globe has affirmed an enormous augment in the residence of social communications automations (Graf, 2023). A complementary experience has been attested regarding social communication's upshots on student moment, materials, and self-assertion.…”

Section: Theoretical Reviewmentioning

confidence: 99%

Sociological Upshot of Social Communications on the Academic Performance of Sociology Students at University of Sierra Leone, Fourah Bay College

Bangura

2024

EJCEEL

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The nucleus of the sociological research was to dictate the ramifications of the utilization of social communications sites on the academic performance of sociology students at Fourah Bay College, University of Sierra Leone. Social communications is a renowned mode for communication amongst university sociology students in Sierra Leone. Nonetheless, extreme social communications utilization, markup inquiries about whether academic performance is affected. This sociological research explores this inquiry by directing a sociological research on Fourah Bay College, University of Sierra Leone, sociology students, in evaluates to social communications handling and their academic performance. The sociological research also explored which social web is the most renowned amongst Sierra Leone university sociology students, why sociology students visit their social communications sites and if there exist considerable upgrade in the sociology student academic performance. Survey was utilized as a mechanism for information crowding. The sociological research welcomed 30 feedbacks and expressive social statistics involving commonality trials that is dissipate threads were utilized to explore the social network between the midpoint digit of hours students consumed of social communications a week and the merits they obtain from utilizing social communications sites. The social communications sites expressly Google +, Facebook, WhatsApp, Skype and X former Twitter grab the focus of sociology students for sociological research and affecting certainly their academic Grade points. The disclosures of the sociological research can be utilized to initiate the appropriate social schemes for upgrading the academic performance of sociology students in this fashion that a steadiness in the inactivity, particulars social reciprocity and academic performance can be preserved.

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Section: Theoretical Reviewmentioning

confidence: 99%

Sociological Upshot of Social Communications on the Academic Performance of Sociology Students at University of Sierra Leone, Fourah Bay College

Bangura

2024

EJCEEL

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How gaming team participation fosters consumers’ social networks, communication and commitment

Pham,

Liao,

Shih

et al. 2024

Journal of Retailing and Consumer Services

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The dark side of algorithmic management: investigating how and when algorithmic management relates to employee knowledge hiding?

Liu,

Yuan,

Jiang

2024

JKM

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Purpose Over the past decade, artificial intelligence (AI) technologies have rapidly advanced organizational management, with many organizations adopting AI-based algorithms to enhance employee management efficiency. However, there remains a lack of sufficient empirical research on the specific impacts of these algorithmic management practices on employee behavior, particularly the potential negative effects. To address this gap, this study constructs a model based on the psychological ownership theory, aiming to investigate how algorithmic management affects employees’ knowledge hiding. Design/methodology/approach This study validates the model through a situational experiment and a multi-wave field study involving full-time employees in organizations implementing algorithmic management. Various analytical methods, including analysis of variance, regression analysis and path analysis, were used to systematically test the hypotheses. Findings The study reveals that algorithmic management exerts a positive indirect influence on knowledge hiding through the psychological ownership of personal knowledge. This effect is particularly pronounced when employees have lower organizational identification, highlighting the critical role of organizational culture in the effectiveness of technological applications. Originality/value This study is among the first empirical investigations to explore the relationship between algorithmic management and employee knowledge hiding from an individual perception perspective. By applying psychological ownership theory, it not only addresses the current theoretical gap regarding the negative effects of algorithmic management but also provides new theoretical and empirical support for the governance and prevention of knowledge hiding within organizations in the context of AI algorithm application. The study highlights the importance of considering employee psychology (i.e. psychological ownership of personal knowledge) and organizational culture (i.e. organizational identification) under algorithmic management. This understanding aids organizations in better managing knowledge risks while maximizing technological advantages and effectively designing organizational change strategies.

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Effects of automated communication on team members’ activity and social presence awareness, commitment, and motivation in human-autonomy teams

Cited by 3 publications

References 76 publications

Sociological Upshot of Social Communications on the Academic Performance of Sociology Students at University of Sierra Leone, Fourah Bay College

Sociological Upshot of Social Communications on the Academic Performance of Sociology Students at University of Sierra Leone, Fourah Bay College

How gaming team participation fosters consumers’ social networks, communication and commitment

The dark side of algorithmic management: investigating how and when algorithmic management relates to employee knowledge hiding?

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