Activity-based costing in smart and connected products production enterprises
The purpose of this paper is to investigate the adoption of an Activity-Based Costing (ABC) system to provide relevant cost information for enterprises in the business of building and selling Internet of Things (IoT) based products. The research is constructed over the relevant themes identified...
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Autores principales: | , , |
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Lenguaje: | Inglés |
Publicado: |
Growing Science
2019
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Materias: | |
Acceso en línea: | http://repositoriodigital.uns.edu.ar/handle/123456789/4553 |
Aporte de: |
id |
I20-R126123456789-4553 |
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record_format |
dspace |
institution |
Universidad Nacional del Sur |
institution_str |
I-20 |
repository_str |
R-126 |
collection |
Repositorio Institucional Universidad Nacional del Sur (UNS) |
language |
Inglés |
orig_language_str_mv |
eng |
topic |
Internet of Things Smart and connected products Activity-based Costing Business Model Patterns Sensor as a Service pattern |
spellingShingle |
Internet of Things Smart and connected products Activity-based Costing Business Model Patterns Sensor as a Service pattern Sánchez, Marisa Analía Moral, María de la Paz Ramoscelli, Gustavo O. Activity-based costing in smart and connected products production enterprises |
topic_facet |
Internet of Things Smart and connected products Activity-based Costing Business Model Patterns Sensor as a Service pattern |
description |
The purpose of this paper is to investigate the adoption of an Activity-Based Costing (ABC)
system to provide relevant cost information for enterprises in the business of building and selling
Internet of Things (IoT) based products. The research is constructed over the relevant themes
identified in previous research about ABC. An important issue that emerges from the analysis is
that cost is a function of the volume of production and this notion of production does not
represent the source of value generation discussed in this work. A functioning of a smart and
connected product requires a cloud-based system for operating and monitoring it throughout its
life. The implication of collecting and processing data is that costs essentially changes depending
on the volume of data stored and the complexity of intended analytics that would require more
qualified analysts. The estimation of costs related to data analytics and products’ monitoring
serve as a reference to forecast future expending during the lifetime of products. This research is
the first to provide a theoretical discussion on ABC assumptions in the context of IoT business
models. |
author |
Sánchez, Marisa Analía Moral, María de la Paz Ramoscelli, Gustavo O. |
author_facet |
Sánchez, Marisa Analía Moral, María de la Paz Ramoscelli, Gustavo O. |
author_sort |
Sánchez, Marisa Analía |
title |
Activity-based costing in smart and connected products production enterprises |
title_short |
Activity-based costing in smart and connected products production enterprises |
title_full |
Activity-based costing in smart and connected products production enterprises |
title_fullStr |
Activity-based costing in smart and connected products production enterprises |
title_full_unstemmed |
Activity-based costing in smart and connected products production enterprises |
title_sort |
activity-based costing in smart and connected products production enterprises |
publisher |
Growing Science |
publishDate |
2019 |
url |
http://repositoriodigital.uns.edu.ar/handle/123456789/4553 |
work_keys_str_mv |
AT sanchezmarisaanalia activitybasedcostinginsmartandconnectedproductsproductionenterprises AT moralmariadelapaz activitybasedcostinginsmartandconnectedproductsproductionenterprises AT ramoscelligustavoo activitybasedcostinginsmartandconnectedproductsproductionenterprises AT sanchezmarisaanalia costeobasadoenactividadesenempresasdeproducciondeproductosinteligentesyconectados AT moralmariadelapaz costeobasadoenactividadesenempresasdeproducciondeproductosinteligentesyconectados AT ramoscelligustavoo costeobasadoenactividadesenempresasdeproducciondeproductosinteligentesyconectados |
bdutipo_str |
Repositorios |
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1764820505124143104 |