Conceptual Model of Business Services Availability vs. Interoperability on Collaborative IoT-enabled eBusiness Platforms

Kryvinska, Natalia; Strauß, Christine

doi:10.1007/978-3-642-34952-2_7

Cited by 23 publications

(6 citation statements)

References 23 publications

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“…While our work has focused on marketing and sales, future research should also analyze the opportunities of product analytics for other enterprise divisions. A second promising direction for further research in IoT and EIS lies in the development of frameworks that allow easy cross-platform application of product analytics in IoT-products (see, for example, [23,46]). Such platforms will ultimately be necessary for product analytics to become as successful and popular as its counterpart in the web.…”

Section: Discussionmentioning

confidence: 99%

From Web Analytics to Product Analytics: The Internet of Things as a New Data Source for Enterprise Information Systems

Klat¹,

Stummer²,

Decker³

2016

Lecture Notes in Business Information Processing

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Part 4: Advanced Manufacturing and Management AspectsInternational audienceThe internet of things (IoT) paves the way for a new generation of consumer products that collect and exchange data, constituting a new data source for enterprise information systems (EIS). These IoT-ready products use built-in sensors and wireless communication technologies to capture and share data about product usage and the environment in which the products are used. The dissemination of the internet into the physical world of everyday products thus establishes new opportunities to apply methods well-established in web analytics to IoT-products, allowing enterprises to tap into a new and rich source of consumer data. In this paper we examine technical challenges of enabling everyday products to generate consumer data for EIS and discuss the application of web analytics methods to IoT-ready consumer products

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Section: Discussionmentioning

confidence: 99%

From Web Analytics to Product Analytics: The Internet of Things as a New Data Source for Enterprise Information Systems

Klat¹,

Stummer²,

Decker³

2016

Lecture Notes in Business Information Processing

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“…Reliability and availability are a critical requirement for cloud services and must be represented with appropriate planning and modelling [13,14]. In [15], the reliability model is focused on a virtual machine (VM) of the cloud environment to accomplish high performance.…”

Section: Related Workmentioning

confidence: 99%

Spectral Expansion Method for Cloud Reliability Analysis

Kotteswari¹,

Bharathi²

2019

Journal of Computer Networks and Communications

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Cloud computing is a computing hypothesis, where a huge group of systems is linked together in private, public, or hybrid network, to offer dynamically amendable infrastructure for data storage, file storage, and application. With this emerging technology, application hosting, delivery, content storage, and reduced computation cost are achieved, and it acts as an essential module for the backbone of the Internet of Things (IoT). The efficiency of cloud service providers (CSP) could be improved by considering significant factors such as availability, reliability, usability, security, responsiveness, and elasticity. Assessment of these factors leads to efficiency in designing a scheduler for CSP. These metrics also improved the quality of service (QoS) in the cloud. Many existing models and approaches evaluate these metrics. But these existing approaches do not offer efficient outcome. In this paper, a prominent performance model named the “spectral expansion method (SPM)” evaluates cloud reliability. The spectral expansion method (SPM) is a huge technique useful in reliability and performance modelling of the computing system. This approach solves the Markov model of cloud service providers (CSP) to predict the reliability. The SPM is better compared to matrix-geometric methods.

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“…Macaulay [30] explained that interoperability of devices in the IoT-based supply chain has significant impact on the potential economic benefits. Kryvinska and Strauss [31] believed that acquiring relevant software and interoperable devices can enhance the economic impact of IoT. Meanwhile, Dehury and Sahoo [32] stated that interoperability can promote unique solutions and offer efficiencies for IoT device manufacturers.…”

Section: Criteria For Evaluating the Performance Of Iot-based Supply mentioning

confidence: 99%

Fuzzy Multicriteria Analysis for Performance Evaluation of Internet-of-Things-Based Supply Chains

Wibowo¹,

Grandhi²

2018

Symmetry

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This paper presents a fuzzy multicriteria analysis model for evaluating the performance of Internet of Things (IoT)-based supply chains. The inherent uncertainty and imprecision of the performance evaluation process was handled by using intuitionistic fuzzy numbers. A new fuzzy multicriteria group decision making algorithm based on the technique ordered preference by similarity to the ideal solution (TOPSIS) approach, and the concept of similarity measures was developed for determining the overall performance of each alternative. The advantage of the proposed fuzzy multicriteria analysis model is that it can overcome the limitations of the existing approaches in an intuitionistic fuzzy environment. The fuzzy multicriteria group decision-making model provides organizations with the ability to evaluate the performance of their IoT-based supply chains for improving their competitiveness. An example is presented to highlight the usefulness of the proposed model for tackling a real world IoT performance evaluation problem.

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Conceptual Model of Business Services Availability vs. Interoperability on Collaborative IoT-enabled eBusiness Platforms

Cited by 23 publications

References 23 publications

From Web Analytics to Product Analytics: The Internet of Things as a New Data Source for Enterprise Information Systems

From Web Analytics to Product Analytics: The Internet of Things as a New Data Source for Enterprise Information Systems

Spectral Expansion Method for Cloud Reliability Analysis

Fuzzy Multicriteria Analysis for Performance Evaluation of Internet-of-Things-Based Supply Chains

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