Improving performance of internet of things (IoT) telecomunication company using interpretive structural modeling in Indonesia

M. Dachyar; S. A. Risky

doi:10.1166/asl.2014.5720

Improving performance of internet of things (IoT) telecomunication company using interpretive structural modeling in Indonesia

M. Dachyar, S. A. Risky

Department of Industrial Engineering

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

Telecommunications company have to improve their business performance in order to satisfy the customers. In Indonesia, telecommunications company has provided best services, improving operational systems by designing a framework for operational systems of the Internet of Things (IoT) others name for Machine to Machine (M2M). This study was conducted with expert opinion which further processed by the Analytic Hierarchy Process (AHP) method to obtain important factor for organizations operational systems, and the Interpretive Structural Modeling (ISM) method to determine factors of organization which found drives the biggest power to improve operational performance. This study has resulted the greatest weight of SLA and KPI handling problems. ISM framework obtained from the current dashboard and current M2M connectivity is becoming a major driving factor, so as to improve the overall M2M system performance organization.

Original language	English
Pages (from-to)	2304-2308
Number of pages	5
Journal	Advanced Science Letters
Volume	20
Issue number	10-12
DOIs	https://doi.org/10.1166/asl.2014.5720
Publication status	Published - 2014

Keywords

Information systems
Internet of things
Multi criteria decision making
Operations management

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10.1166/asl.2014.5720

Cite this

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AB - Telecommunications company have to improve their business performance in order to satisfy the customers. In Indonesia, telecommunications company has provided best services, improving operational systems by designing a framework for operational systems of the Internet of Things (IoT) others name for Machine to Machine (M2M). This study was conducted with expert opinion which further processed by the Analytic Hierarchy Process (AHP) method to obtain important factor for organizations operational systems, and the Interpretive Structural Modeling (ISM) method to determine factors of organization which found drives the biggest power to improve operational performance. This study has resulted the greatest weight of SLA and KPI handling problems. ISM framework obtained from the current dashboard and current M2M connectivity is becoming a major driving factor, so as to improve the overall M2M system performance organization.

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Improving performance of internet of things (IoT) telecomunication company using interpretive structural modeling in Indonesia

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Keywords

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