The Internet of Things (IoT) and Mobile Cloud Computing (MCC) have practically taken many industries around the world including precision agriculture, healthcare, energy, transportation, building management, and the likes. The connectivity options for internet cloud services are increasing by substantial amounts for business process automation engineers and application developers. Work is being done on IoT and MCC based products and systems development, which will help smart solution development and will provide ease of doing business. Business processes are frequently executed within application systems that involve humans, computer systems, as well as objects of the IoT). IoT as well as MCC, denoting the inter-networking of all kinds of physical devices, have become very popular these days. Business process execution, monitoring, and analytics based on IoT can enable a more comprehensive view of processes. Embedding intelligence through coding by means of real-time data gathering from devices/sensors and then consuming them through Business Process Management (BPM) technology helps businesses to achieve cost savings and efficiency.

The ever-growing amount of data generated by IoT, which holds great economic potential for future applications, can also be better leveraged and handled by means of BPM, as the latter gives domain experts’ direct control over business processes. Meanwhile, BPM, as the cornerstone of modern Process-Aware Information Systems (PAIS), has established itself as a powerful technology in the design, analysis, configuration, enactment, and evolution of cooperative business processes. However, the deployment of BPM over IoT and MCC are facing paradigm misalignment challenges including mismatch of programming mechanisms, mismatch of resource management mechanisms, and mismatch of adaptation mechanisms.

This Special Issue aims to provide a platform for both researchers and app developers to discuss the opportunities, issues, challenges, and possible solutions for BPM over MCC incorporating IoTs devices. This Special Issue will provide an opportunity to present technical strategies and empirical evidence that proposes new tools, methods, approaches, frameworks, and techniques to provide smart computing solutions for BPM using IoT over MCC. We welcome both original research and review articles.

Potential topics include but are not limited to the following:

• New AI based tools, approaches, frameworks, and models proposed for bridging BPM and IoT
• Use of resource management mechanisms to support optimized scheduling in the collaborative cloud and edge environment
• Resource scheduling methods are designed to achieve specific optimization goals for business processes under different businesses or environmental constraints
• Approaches to address the dynamic and largescale nature of the service space over MCC
• Distributed and/or decentralized resource management architecture for optimizing the execution performance of BPM
• Industry best practices and case studies reporting smart solutions through MCC for BPM using IoTs
• Industry best practices and case studies reporting the convergence of IoT and Cloud Computing for BPM
• Surveys, empirical studies, and systematic literature reviews in connection to BPM, MCC, and IoT