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Towards an Interdisciplinary Development of IoT-Enhanced Business Processes

Pedro Valderas, Victoria Torres, Estefanía Serral

2022Business & Information Systems Engineering27 citationsDOIOpen Access PDF

Abstract

Abstract IoT-enhanced Business Processes make use of sensors and actuators to carry out the process tasks and achieve a specific goal. One of the most important difficulties in the development of IoT-enhanced BPs is the interdisciplinarity that is demanded by this type of project. Defining an interdisciplinary tool-supported development approach that facilitates the collaboration of different professionals, with a special focus on three main facets: business process requirements, interoperability between IoT devices and BPs, and low-level data processing. The study followed a Design Science Research methodology for information systems that consists of a 6-step process: (1) problem identification and motivation; (2) define the objectives for a solution; (3) design and development; (4) demonstration; (5) evaluation; and (6) communication. The paper presents an interdisciplinary development process to support the creation of IoT-enhanced BPs by applying the Separation of Concerns principle. A collaborative development environment is built to provide each professional with the tools required to accomplish her/his development responsibilities. The approach is successfully validated through a case-study evaluation. The evaluation allows to conclude that the proposed development process and the supporting development environment are effective to face the interdisciplinary nature of IoT-enhanced BPs.

Topics & Concepts

Process (computing)InteroperabilityProcess managementComputer scienceInternet of ThingsDesign science researchEngineering managementIdentification (biology)Business processKnowledge managementSystems engineeringEngineeringSoftware engineeringInformation systemWork in processWorld Wide WebOperations managementBiologyOperating systemElectrical engineeringBotanyDigital Transformation in IndustryBig Data and Business IntelligenceBusiness Process Modeling and Analysis
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