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Purpose To propose a method for adopting an Internet of Things (IoT) enabled Product-Service System (PSS) considering business model and product enhancements. The method focuses on business process implications of IoT. The paper also discusses a real application of the proposed method to the machinery industry. Design/methodology/approach Considering the IoT technologies available, Failure Mode and Effects Analysis (FMEA) is applied to identify what should be monitored in the product to minimize potential product failures. In parallel, in order to assist the company in deciding which PSS strategy to be followed, a Configurator of PSS proposals is applied. The results are derived to define the IoT architecture and the business process design supported by the selected IoT technologies. Findings The main findings include the proposed IoT-enabled PSS adoption method, illustrated by the description of the application and its assessment. In addition, the identification of key process areas that are impacted by IoT is offered, namely: remote machine setup; corrective and predictive maintenance; material supply; product pricing; and information reporting. Research limitations/implications The application of the method proposed is limited to one company. Future work includes extending the application of the method to other units of analysis. Practical implications The method proposed can be considered by companies willing to increase product-service revenues based on IoT technologies. Originality/value The IoT-enabled PSS adoption method is an approach grounded on the intersection theories of Product-Service Systems and the more technology-oriented IoT developments.

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Purpose The purpose of this paper is to review empirical studies on process mining in order to understand its use by organizations. The paper further aims to outline future research opportunities. Design/methodology/approach The authors propose a classification model that combines core conceptual elements of process mining with prior models from technology classification from the enterprise resource planning and business intelligence field. The model incorporates an organizational usage, a system-orientation and service nature, adding a focus on physical services. The application is based on a systematic literature review of 144 research papers. Findings The results show that, thus far, the literature has been chiefly concerned with realization of single business process management systems in single organizations. The authors conclude that cross-system or cross-organizational process mining is underrepresented in the ISR, as is the analysis of physical services. Practical implications Process mining researchers have paid little attention to utilizing complex use cases and mining mixed physical-digital services. Practitioners should work closely with academics to overcome these knowledge gaps. Only then will process mining be on the cusp of becoming a technology that allows new insights into customer processes by supplying business operations with valuable and detailed information. Originality/value Despite the scientific interest in process mining, particularly scant attention has been given by researchers to investigating its use in relatively complex scenarios, e.g., cross-system and cross-organizational process mining. Furthermore, coverage on the use of process mining from a service perspective is limited, which fails to reflect the marketing and business context of most contemporary organizations, wherein the importance of such scenarios is widely acknowledged. The small number of studies encountered may be due to a lack of knowledge about the potential of such scenarios as well as successful examples, a situation the authors seek to remedy with this study.