scholarly journals In Cloud We Trust? Co-opting Occupational Gatekeepers to Produce Normalized Trust in Platform-Mediated Interorganizational Relationships

2021 ◽  
Author(s):  
Arvind Karunakaran
Keyword(s):  
Cloud Computing ◽  
Interorganizational Relationships ◽  
Service Provisioning ◽  
Organizational Adoption ◽  
Interorganizational Trust ◽  
Computing Platform ◽  
Adoption Decisions ◽  
Cloud Computing Platform ◽  
Continued Use ◽  
Business As Usual

Interorganizational trust plays an important role in facilitating business relationships, especially for the organizational adoption of new services. Prior research suggests that interorganizational trust develops when the trustor has adequate confidence in the reliability of the trustee’s services. Nevertheless, reliability breakdowns are also an inevitable part of service provisioning. Such breakdowns are especially prominent and visible in the context of platform-based services. Yet platform-based services continue to be adopted and used by organizational customers. This increased adoption and use of such services despite their inconsistent reliability pose the following question. How is trust produced in platform-mediated interorganizational relationships? To examine this question, I conducted a 20-month field study of a cloud computing platform provider and its customers, focusing on the practices of trust production in the wake of reliability breakdowns. Here, I describe customer concerns about the platform’s inconsistent reliability that hampered the development of interorganizational trust. I then identify four practices of trust work enacted by the platform provider to address some of these concerns and to co-opt the occupational gatekeepers in customer organizations who are responsible for technology adoption decisions. Following this, I describe how and why these occupational gatekeepers performed justification work to rationalize the continued use of the platform despite its inconsistent reliability. Together, trust work and justification work facilitate the coproduction of interorganizational trust through normalizing reliability breakdowns as “business-as-usual” events. Synthesizing these findings, I developed a normalization model of trust production, and discuss the implications of normalized trust for platform-mediated interorganizational relationships in the digital economy.

scholarly journals In Cloud We Trust? Coopting Occupational Gatekeepers to Produce Normalized Trust in Platform-mediated Interorganizational Relationships

2021 ◽  
Author(s):  
Arvind Karunakaran
Keyword(s):  
Cloud Computing ◽  
Interorganizational Relationships ◽  
Service Provisioning ◽  
Organizational Adoption ◽  
Interorganizational Trust ◽  
Computing Platform ◽  
Adoption Decisions ◽  
Cloud Computing Platform ◽  
Continued Use ◽  
Business As Usual

Interorganizational trust plays an important role in facilitating business relationships, especially for the organizational adoption of new services. Prior research suggests that interorganizational trust develops when the trustor has adequate confidence in the reliability of the trustee’s services. Nevertheless, reliability breakdowns are also an inevitable part of service provisioning. Such breakdowns are especially prominent and visible in the context of platform-based services. Yet, platform-based services continue to be adopted and used by organizational customers. This increased adoption and use of such services despite its inconsistent reliability pose the following question: how is trust produced in platform-mediated interorganizational relationships? To examine this question, I conduct a 20-month field of a cloud computing platform provider and its customers, focusing on the practices of trust production in the wake of reliability breakdowns. I describe customer concerns about the platform’s inconsistent reliability that hampered the development of interorganizational trust. I then identify four practices of trust work enacted by the platform provider to address some of these concerns and to coopt the occupational gatekeepers in customer organizations who are responsible for technology adoption decisions. Following this, I describe how and why these occupational gatekeepers performed justification work to rationalize the continued use of the platform despite its inconsistent reliability. Together, trust work and justification work facilitate the co-production of interorganizational trust through normalizing reliability breakdowns as “business-as-usual” events. Synthesizing these findings, I develop a normalization model of trust production and discuss the implications of normalized trust for platform-mediated interorganizational relationships in the digital economy.

Power Management of Virtualized Cloud Computing Platform

2012 ◽  
Vol 35 (6) ◽  
pp. 1262 ◽  
Author(s):  
Ke-Jiang YE ◽  
Zhao-Hui WU ◽  
Xiao-Hong JIANG ◽  
Qin-Ming HE
Keyword(s):  
Cloud Computing ◽  
Power Management ◽  
Computing Platform ◽  
Cloud Computing Platform

Predicting Node Failures in an Ultra-Large-Scale Cloud Computing Platform

2020 ◽  
Vol 29 (2) ◽  
pp. 1-24
Author(s):  
Yangguang Li ◽  
Zhen Ming (Jack) Jiang ◽  
Heng Li ◽  
Ahmed E. Hassan ◽  
Cheng He ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
Computing Platform ◽  
Cloud Computing Platform ◽  
Node Failures

In defense of decentralized research data management

Neuroforum ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Michael Hanke ◽  
Franco Pestilli ◽  
Adina S. Wagner ◽  
Christopher J. Markiewicz ◽  
Jean-Baptiste Poline ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Data Management ◽  
Research Data ◽  
Data Archive ◽  
Individual Scientist ◽  
Computing Platform ◽  
Research Data Management ◽  
Cloud Computing Platform ◽  
Research Objects ◽  
Central Services

Abstract Decentralized research data management (dRDM) systems handle digital research objects across participating nodes without critically relying on central services. We present four perspectives in defense of dRDM, illustrating that, in contrast to centralized or federated research data management solutions, a dRDM system based on heterogeneous but interoperable components can offer a sustainable, resilient, inclusive, and adaptive infrastructure for scientific stakeholders: An individual scientist or laboratory, a research institute, a domain data archive or cloud computing platform, and a collaborative multisite consortium. All perspectives share the use of a common, self-contained, portable data structure as an abstraction from current technology and service choices. In conjunction, the four perspectives review how varying requirements of independent scientific stakeholders can be addressed by a scalable, uniform dRDM solution and present a working system as an exemplary implementation.

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