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Service provider

About: Service provider is a research topic. Over the lifetime, 55107 publications have been published within this topic receiving 894381 citations. The topic is also known as: external service provider & internal service provider.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors investigate three types of customer-oriented boundary-spanning behaviors (COBSBs) a frontline service employee may perform that are associated with linking a service organization to its potential or actual customers: external representation, internal influence, and service delivery.
Abstract: The authors investigate three types of customer-oriented boundary-spanning behaviors (COBSBs) a frontline service employee may perform that are associated with linking a service organization to its potential or actual customers: external representation, internal influence, and service delivery. The authors propose and test a withdrawal model to explain the negative effects of role conflict and role ambiguity on COBSBs across a sample of 220 lower-level, nonprofessional service providers of a major retail bank and a sample of 90 higher-level, professional service providers from the business credit division of an international financial services corporation. The results demonstrate that (1) indirect paths through job satisfaction and organizational commitment entirely account for the negative effects of the role stressors on COBSBs, (2) the indirect negative effects of the role stressors are stronger on external representation and internal influence behaviors, and (3) role conflict also has a significant positive direct relationship with internal influence behaviors.

378 citations

01 Jan 2011
TL;DR: Relational Cloud as discussed by the authors is a transactional database-as-a-service (DBaaS) system that uses a graph-based data partitioning algorithm to achieve near-linear elastic scalability.
Abstract: This paper introduces a new transactional “database-as-a-service” (DBaaS) called Relational Cloud. A DBaaS promises to move much of the operational burden of provisioning, configuration, scaling, performance tuning, backup, privacy, and access control from the database users to the service operator, offering lower overall costs to users. Early DBaaS efforts include Amazon RDS and Microsoft SQL Azure, which are promising in terms of establishing the market need for such a service, but which do not address three important challenges: efficient multi-tenancy, elastic scalability, and database privacy. We argue that these three challenges must be overcome before outsourcing database software and management becomes attractive to many users, and cost-effective for service providers. The key technical features of Relational Cloud include: (1) a workload-aware approach to multi-tenancy that identifies the workloads that can be co-located on a database server, achieving higher consolidation and better performance than existing approaches; (2) the use of a graph-based data partitioning algorithm to achieve near-linear elastic scale-out even for complex transactional workloads; and (3) an adjustable security scheme that enables SQL queries to run over encrypted data, including ordering operations, aggregates, and joins. An underlying theme in the design of the components of Relational Cloud is the notion of workload awareness: by monitoring query patterns and data accesses, the system obtains information useful for various optimization and security functions, reducing the configuration effort for users and operators.

377 citations

Proceedings ArticleDOI
23 May 2011
TL;DR: This paper proposes resource allocation algorithms for SaaS providers who want to minimize infrastructure cost and SLA violations, designed in a way to ensure that Saas providers are able to manage the dynamic change of customers, mapping customer requests to infrastructure level parameters and handling heterogeneity of Virtual Machines.
Abstract: Cloud computing has been considered as a solution for solving enterprise application distribution and configuration challenges in the traditional software sales model. Migrating from traditional software to Cloud enables on-going revenue for software providers. However, in order to deliver hosted services to customers, SaaS companies have to either maintain their own hardware or rent it from infrastructure providers. This requirement means that SaaS providers will incur extra costs. In order to minimize the cost of resources, it is also important to satisfy a minimum service level to customers. Therefore, this paper proposes resource allocation algorithms for SaaS providers who want to minimize infrastructure cost and SLA violations. Our proposed algorithms are designed in a way to ensure that Saas providers are able to manage the dynamic change of customers, mapping customer requests to infrastructure level parameters and handling heterogeneity of Virtual Machines. We take into account the customers' Quality of Service parameters such as response time, and infrastructure level parameters such as service initiation time. This paper also presents an extensive evaluation study to analyze and demonstrate that our proposed algorithms minimize the SaaS provider's cost and the number of SLA violations in a dynamic resource sharing Cloud environment.

375 citations

Journal ArticleDOI
TL;DR: In this article, service quality research in traditional services and, more recently, in e-services tends to take a long time and is typically multichannel, whereas in virtual channels of delivery such as the Internet are typically multi-channel.
Abstract: Services employing virtual channels of delivery such as the Internet are typically multichannel. Service quality research in traditional services and, more recently, in e-services tends to take a s...

374 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigated the antecedents and consequences of relationship quality in the context of hotel management and found that greater service providers' relational and customer orientation resulted in higher relationship quality.

374 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20251
20241
2023732
20221,673
20211,969
20202,684