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This paper aims to develop a selective energy optimisation of the photovoltaic–thermal (PV/T) system performance. The PV cell inside the PV/T system could be periodically manipulated to produce domestic hot water without applying an external power supply.

A numerical simulation model of the proposed PV/T model was developed in MATLAB/Simulink to analyse the selective energy optimisation of the model. The extrinsic cell resistance (R_se) is adjusted to control the ratio of thermal to the electrical energy, generated from the PV cell inside the PV/T system. Therefore, the internal heat of the PV cell inside the PV/T system is periodically used as a thermal element to produce electrical power and hot water.

The optimisation of PV/T energy shows that the electrical power efficiency can increase by 11.6% when R_se was 0 Ω, and the 200 L water tank temperature increased by 22ºC when R_se was 50 Ω.

This study showed that the use of the PV cell could be extended to domestic hot water and space heating, and not only for electricity.

Over the past decades, scholars advanced foundational insights about paradox in organization theory. In this double volume, we seek to expand upon these insights through interdisciplinary theorizing. We do so for two reasons. First, we think that now is a moment to build on those foundations toward richer, more complex insights by learning from disciplines outside of organization theory. Second, as our world increasingly faces grand challenges, scholars turn to paradox theory. Yet as the challenges become more complex, authors turn to other disciplines to ensure the requisite complexity of our own theories. To advance these goals, we invited scholars with knowledge in paradox theory to explore how these ideas could be expanded by outside disciplines. This provides a both/and opportunity for paradox theory: both learning from outside disciplines beyond existing boundaries and enriching our insights in organization scholarship. The result is an impressive collection of papers about paradox theory that draws from four outside realms – the realm of belief, the realm of physical systems, the realm of social structures, and the realm of expression. In this introduction, we expand on why paradox theory is ripe for interdisciplinary theorizing, explore the benefits of doing so, and introduce the papers in this double volume.

The purpose of this paper is to conceptualize data quality (DQ) in the context of business process management and to propose a DQ oriented approach for business process modeling. The approach is based on key concepts and metrics from the data quality management domain and supports decision‐making in process re‐design projects on the basis of process models.

The paper applies a design oriented research approach, in the course of which a modeling method is developed as a design artifact. To do so, method engineering is used as a design technique. The artifact is theoretically founded and incorporates DQ considerations into process re‐design. Furthermore, the paper uses a case study to evaluate the suggested approach.

The paper shows that the DQ oriented process modeling approach facilitates and improves managerial decision‐making in the context of process re‐design. Data quality is considered as a success factor for business processes and is conceptualized using a rule‐based approach.

The paper presents design research and a case study. More research is needed to triangulate the findings and to allow generalizability of the results.

The paper supports decision‐makers in enterprises in taking a DQ perspective in business process re‐design initiatives.

The paper reports on integrating DQ considerations into business process management in general and into process modeling in particular, in order to provide more comprehensive decision‐making support in process re‐design projects. The paper represents one of the first contributions to literature regarding a contemporary phenomenon of high practical and scientific relevance.