A1 Refereed original research article in a scientific journal
Remote monitoring in industrial services
Authors: Momeni K, Martinsuo M
Publisher: Emerald
Publication year: 2018
Journal: Journal of Business and Industrial Marketing
Journal name in source: Journal of Business and Industrial Marketing
Volume: 33
Issue: 6
ISSN: 0885-8624
DOI: https://doi.org/10.1108/JBIM-10-2015-0187
Web address : https://researchportal.tuni.fi/en/publications/bd925214-46c2-4ff8-bb40-de6e10257f8d
Abstract
Purpose: The purpose of this paper is to better understand the efficient use of remote monitoring systems (RMS) to create business value for industrial services in manufacturing firms. A business view to RMS is a key prerequisite for the successful application of the Internet of Things (IoT) in industrial services. Design/methodology/approach: A qualitative multiple-case study was conducted in six engineering companies. The main source of data was semi-structured interviews with 16 managers. Findings: The findings highlight the role of RMS in enabling manufacturing firms to collect data from customers to complement their limited knowledge about their customers. The study demonstrates the business value of using RMS in industrial services and the necessity of capturing the business value through advanced IT technologies. Research limitations/implications: The qualitative research design and choice of six target companies limit the findings to business-to-business manufacturing firms. Further, the focus is on the manager{\textquoteright}s viewpoint. The findings imply new business value through an efficient use of RMS to complement direct customer contact. Practical implications: The study draws attention to the skilled use of advanced RMS and information and communication technology as a prerequisite for the successful application of the IoT in manufacturing firms that provide services for complex solutions and customers dispersed globally. Originality/value: The research shows that using information collected through RMS is an important factor in creating business value in a manufacturing firm{\textquoteright}s customer relationships. The study contributes by integrating RMS into the customer information collection process to increase the amount, validity and quality of data.
Purpose: The purpose of this paper is to better understand the efficient use of remote monitoring systems (RMS) to create business value for industrial services in manufacturing firms. A business view to RMS is a key prerequisite for the successful application of the Internet of Things (IoT) in industrial services. Design/methodology/approach: A qualitative multiple-case study was conducted in six engineering companies. The main source of data was semi-structured interviews with 16 managers. Findings: The findings highlight the role of RMS in enabling manufacturing firms to collect data from customers to complement their limited knowledge about their customers. The study demonstrates the business value of using RMS in industrial services and the necessity of capturing the business value through advanced IT technologies. Research limitations/implications: The qualitative research design and choice of six target companies limit the findings to business-to-business manufacturing firms. Further, the focus is on the manager{\textquoteright}s viewpoint. The findings imply new business value through an efficient use of RMS to complement direct customer contact. Practical implications: The study draws attention to the skilled use of advanced RMS and information and communication technology as a prerequisite for the successful application of the IoT in manufacturing firms that provide services for complex solutions and customers dispersed globally. Originality/value: The research shows that using information collected through RMS is an important factor in creating business value in a manufacturing firm{\textquoteright}s customer relationships. The study contributes by integrating RMS into the customer information collection process to increase the amount, validity and quality of data.
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