Reputation, trust, and norms as mechanisms forming academic reciprocity in data sharing: an empirical test of theory of collective action

Kim, Youngseek

doi:10.1108/ajim-08-2021-0242

Cited by 6 publications

(4 citation statements)

References 70 publications

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“…The research on games shows more reciprocal players had higher bridging social capital and a higher social status [27]. Both perceived community trust and the norm of data-sharing significantly increase scientists' awareness of academic reciprocity, which significantly affects their data-sharing intentions [28]. Direct reciprocity can promote cooperation.…”

Section: Methods and Motivationmentioning

confidence: 99%

Construction and Application of Cloud Computing Model for Reciprocal and燙ollaborative Knowledge Management

Li¹,

Bian²,

Guan³

et al. 2023

Computers, Materials &Amp; Continua

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Promoting the co-constructing and sharing of organizational knowledge and improving organizational performance have always been the core research subject of knowledge management. Existing research focuses on the construction of knowledge management systems and knowledge sharing and transfer mechanisms. With the rapid development and application of cloud computing and big data technology, knowledge management is faced with many problems, such as how to combine with the new generation of information technology, how to achieve integration with organizational business processes, and so on. To solve such problems, this paper proposes a reciprocal collaborative knowledge management model (RCKM model) based on cloud computing technology, reciprocity theory, and collaboration technology. RCKM model includes project group management and cloud computing technology, which can realize management, finance, communication, and quality assurance of multiple projects and solve the problem of business integration with knowledge management. This paper designs evaluation methods of tacit knowledge and reciprocity preference based on the Bayesian formula and analyzes their effect with simulation data. The methods can provide quantitative support for the integration of knowledge management and business management to realize reciprocity and collaboration in the RCKM model. The research found that RCKM model can fully use cloud computing technology to promote the integration of knowledge management and organizational business, and the evaluation method based on the Bayesian formula can provide relatively accurate data support for the evaluation and selection of project team members.

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Section: Methods and Motivationmentioning

confidence: 99%

Construction and Application of Cloud Computing Model for Reciprocal and燙ollaborative Knowledge Management

Li¹,

Bian²,

Guan³

et al. 2023

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

show abstract

“…Researchers tend to be data gifters (or data suppliers; Cragin et al, 2010, p. 4032), choosing the recipients of their gifts (Gabelica et al, 2022) and mediating the transaction themselves, with the potential for continued involvement in its analysis or interpretation (Zhu, 2020). Research has focused on aspects of sharing relating to social aspects such as trust (Kim, 2022;Zhi et al, 2023). Gifting does not yield uniformly consistent access to data, however (Tedersoo et al, 2021).…”

Section: Why Academics Do(n't) Share Datamentioning

confidence: 99%

Why academics under‐share research data: A social relational theory

Mattern,

Kohlburn,

Moulaison‐Sandy

2024

Asso for Info Science & Tech

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Despite their professed enthusiasm for open science, faculty researchers have been documented as not freely sharing their data; instead, if sharing data at all, they take a minimal approach. A robust research agenda in LIS has documented the data under‐sharing practices in which they engage, and the motivations they profess. Using theoretical frameworks from sociology to complement research in LIS, this article examines the broader context in which researchers are situated, theorizing the social relational dynamics in academia that influence faculty decisions and practices relating to data sharing. We advance a theory that suggests that the academy has entered a period of transition, and faculty resistance to data sharing through foot‐dragging is one response to shifting power dynamics. If the theory is borne out empirically, proponents of open access will need to find a way to encourage open academic research practices without undermining the social value of academic researchers.

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“…Past studies have investigated norms of reciprocation in relation to information sharing intention or behavior (Kim, 2022;Islam et al, 2020a, b); nevertheless, ignored the role of prior social median sharing experience and misinformation self-efficacy. Accordingly, we aim to understand how norms of reciprocity affect prosocial media sharing experience and misinformation self-efficacy for combating misinformation.…”

Section: Combating Intention In Pakistanmentioning

confidence: 99%

Factors affecting misinformation combating intention in Pakistan during COVID-19

Malik

Islam

Mahmood

2022

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PurposeMisinformation on social media has become a great threat across the globe. Therefore, the authors aim to provide a comprehensive understanding of social media users' misinformation combating behavior, especially during the COVID-19 pandemic. Specifically, the authors merged the uses and gratifications theory, social cognitive theory and theory of prosocial behavior into one theoretical framework (e.g. information seeking, status seeking, entertainment and norms of reciprocity) to understand their effect on users' prosocial media sharing experience and misinformation self-efficacy to combat misinformation.Design/methodology/approachThe authors collected data from 356 social media users through “Google Forms” during the third wave of coronavirus in Pakistan. Further, the authors applied structural equation modeling for hypotheses testing.FindingsThe authors noted that entertainment and perceived norms of reciprocity positively affect social media users' prior experience and misinformation self-efficacy to enhance their misinformation combating intention. However, information seeking positively affects social media users' prior experience and insignificantly affects their misinformation self-efficacy. Similarly, status seeking was noted to be insignificantly associated with social media users' prior experience and misinformation self-efficacy.Research limitations/implicationsThe authors tested this model of misinformation combating intention in a developing country during the COVID-19 pandemic and noted that entertainment and status seeking motives are context-specific. Therefore, this study may likely benefit researchers, academicians and policymakers to understand the causal relationship between motivations and the behavior of combating misinformation on social media within a developing country.Originality/valueIn this study the authors merged three theories (e.g. uses and gratifications theory, social cognitive theory and theory of prosocial behavior) to understand information seeking, status seeking, entertainment and norms of reciprocity as the main motives for social media users' misinformation combating intention.

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Reputation, trust, and norms as mechanisms forming academic reciprocity in data sharing: an empirical test of theory of collective action

Cited by 6 publications

References 70 publications

Construction and Application of Cloud Computing Model for Reciprocal and燙ollaborative Knowledge Management

Construction and Application of Cloud Computing Model for Reciprocal and燙ollaborative Knowledge Management

Why academics under‐share research data: A social relational theory

Factors affecting misinformation combating intention in Pakistan during COVID-19

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