Adaptation of Internet of Things (IOT) Application in Business Process Management (BPM) for Improved Data Management

Jacentha MANIAM, Nur Afifah MOHD SHAI, Dalbir SINGH

Abstract


 

Abstract – The concept of Internet of Things (IoT) is fundamentally changing the way people deal with processes concerning collecting and exchanging data over the internet to enhance their business processes. This article reviews the business process concept which impacts the data management using IoT technology. The integration between Business Process Modelling (BPM) and IoT within the systems helps to manage and integrate digital processes to maximize the achievement in controlling the business flow, process models and synchronous interactions. By using multiple methods in BPM such as pre-defined model, adaptation models and enactment of the business process may result in the improvement in relevant operational processes. Continuous aligning of BPM and IoT technology may improve the business flow with computational power and network sensing approach. In this article, comprehensive IoT data management critical success factors were proposed to enhance the data management processes besides business value adding to the organization. The need for new integration technology in data management processes were identified from this study. It was discovered that three main factors that contributes to the adaptation of IoT in BPM for improved data management were high cost, poor produce quality and time consuming. Therefore, these factors would guide researchers to carry out more significant methods much needed to integrate IoT in BPM for improved data management.


Keywords


Data Management, Business Process Modelling (BPM), Internet of Things(IoT), business value adding.

Full Text:

PDF PDF

References


Abu-Elkheir, M., Hayajneh, M. & Ali, N. A.. 2013. Data management for the internet of things: design primitives and solutions. Sensors, pp. 15582-15612,.

Ali, N. A. & Abu-Elkheir, M.. 2012. Data management for the internet of things: green directions. Globecom '12 Workshops : Green Directions pp. 386-390,.

Bachhav, B. & Mahalle, P. N.. 2017. Data management for internet of things: a survey and discussion. International Research Journal of Engineering and Technology (IRJET), 04(11), pp. 1512-1517,.

Caracaş, A. M.. 2012. Modeling, compiling and efficiency executive business processes on resource - constrained wireless sensor networks. ETH Zurich Research Collection.

Cerbulescu, C. C. & Cerbulescu, C. M., 2016. Large data management in IoT applications. 17th International Carpathian Control Conference (ICCC).

Chang, C., Srirama, S. N. & Buyya, R.. 2015. Mobile cloud business process management system for the internet of things (IoT): review, challenges and blueprint. Estonian Science Foundation.

Domingos, D. & Martins, F., 2017. Using bonm to model internet of things (IoT) behavior within the business process. International Journal Information Systems and Project Management, 5(4), pp. 39-51,.

Janiesch, C. et al., 2017. The internet of things (IoT) meets business process management: mutual benefits and challenges. pp. 1-9,.

Lopes, L. & Martins, F., 2016. A safe-by-design programming language for wireless sensor networks. Journal of Systems Architecture , pp. 16-32,.

Martins, F. & Domingis, D., 2017. Modelling IoT behavior within bpmn business process. International Conference on Enterprise Information Systems, 8(10), pp. 1014-1021,.


Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

The Pertanika Journal of Scholarly Research Reviews, (e-ISSN: 2462-2028, ISSN: 2636-9141) published by Universiti Putra Malaysia Press