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The censorship of moral, literary and artistic materials is an important aspect of information control. Systematic study involves the researcher in analysis of specific cases and situations, an exploration of relationships between law and literature, and an understanding of gender roles, the media, and the pornography industry. Important definitions need to be clarified and assumptions examined, making this domain both complex and rewarding for social information analysis.

To extract the full potential from internet‐wide knowledge sharing and reuse, the underlying copyright issues must be taken into account and managed using digital rights management (DRM) tools. The paper aims to focus on the issues involved.

Traditional DRM and open licensing initiatives lack the required computerised support and flexibility to scale to internet‐wide copyright management. Our approach is based on a semantic web ontology that conceptualises the copyright domain.

The Copyright Ontology facilitates interoperation while providing a rich framework that accommodates copyright law and copes with custom licensing schemes.

The ontology is based on the description logic variant of the Web Ontology Language. Despite its scalability, this variant has some limitations on expression that will be overcome with the help of semantic web rules in future versions of the ontology.

The ontology provides the building blocks for flexible machine‐understandable licenses and facilitates implementation because existing semantic web tools can be easily reused. Moreover, existing initiatives can be mapped to the ontology to make it an interoperability hub.

The paper contributes a novel approach to DRM, based on semantic web technologies, that takes into account the underlying copyright legal framework. This is possible thanks to the greater expressiveness of semantic web knowledge representation tools.

This paper addresses decision-making for commercial real estate (CRE) firms and professionals within the context of rapid technological innovations capable of business model disruption. It considers the paradoxical notion of the need for CRE firms to become ambidextrous by simultaneously exploiting their existing business model and exploring possible opportunities and threats. The paper develops a practical approach, the paradox map, for dealing with this paradoxical problem.

This qualitative research draws on work from organizational management, leadership, social sciences and technology. This research frames the definition and development of an ambidextrous mindset and its components. Paradox management is explored as a possible source of useful tools.

The ambidextrous mindset is a paradox in that exploit and explore are ongoing interrelated opposing forces. Further, the mindset is the product of a number of sub-paradoxes that act as levers for its development and adjustment. The paradox map is developed to facilitate dealing with numerous paradoxes.

The paradox map is a useful tool for commercial real-estate firms to understand and develop an ambidextrous mindset.

Commercial real estate is experiencing a wave of substantive technological disruption in the proptech marketplace and beyond. This paper attempts to clarify the paradox of innovation and its underlying sub-paradoxes to help professionals navigate the interrelated landscape of exploiting past products and exploring innovations.

This article proposes a strategy to make the testing step easier, generating user acceptance tests (UATs) in an automatic way from requirements artifacts.

This strategy is based on two modeling frameworks: scenarios and task/method paradigm. Scenarios are a requirement artifact used to describe business processes and requirements, and task/method paradigm is a modeling paradigm coming from the artificial intelligence field. The proposed strategy is composed of four steps. In the first step, scenarios are described through a semantic wiki website. Then scenarios are automatically translated into a task/method model (step two). In the third step, the task/method model obtained in step two is executed in order to produce and store all possible achievements of tasks and thus scenarios. The stored achievements are saved in a data structure called execution tree (ET). Finally, from this ET (step four), the UATs are generated.

The feasibility of this strategy is shown through a case study coming from the agriculture production systems field.

Generally, test design approaches deal with a small number of variables describing one specific situation where a decision table or workflow is used to design tests. The proposed approach can deal with many variables because the authors rely on scenarios that can be composed in order to obtain a tree with all the testing paths that can arise from their description.

UAVs have been used by military forces since at least the War of Attrition – fought between Egypt and Israel between 1967 and 1970 – when the Israeli Army modified radio-controlled model aircraft to fly over the Suez Canal and take aerial photographs behind Egyptian lines (Bolia, 2004). Although the Israelis ill advisedly abandoned the concept before the Yom Kippur War, it was taken up by several nations in the ensuing decades, and today UAVs are regarded as a routine component of surveillance operations, having played a significant role in both Afghanistan and Iraq.

This study aims at developing a model that captures the reality of complex contemporary B2B selling processes.

The grounded theory methodology was deployed in this study. In‐depth interviews and interactive lectures were used for data collection.

This study indicates that contemporary B2B selling processes are complex and dynamic endeavours in which various (sometimes conflicting) interests are ultimately managed by the involved actors through a dynamic process best described as “business manoeuvring”.

Possible avenues of future enquiry include investigation of other industrial sectors in which the proposed model's description of selling processes is valid and assessment of the characteristics of companies (in terms of size and profitability).

The model proposed in this study can be utilised by practitioners to impose a useful conceptual structure on otherwise fluid and intangible processes – thus making them easier to analyse and thereby facilitating strategic corporate decision‐making.

Based on the real life experiences of the involved actors, this model describes that complex contemporary B2B selling processes are dynamic processes and not linear or sequential ones.

To present modelling and control technique of an electromagnetic actuator.

A 3D modelling technique of voltage‐forced electromechanical actuator takes into account: motion, magnetic non‐linearity and eddy current phenomena. Control problem of closed loop system is described by coupled electro‐magneto‐mechanical equations and non‐linear PID controller equations.

Presented methodology offers a powerful tool for analysis of control systems with distributed parameters models and may contribute to the improvement of the electromechanical performance of electrodynamic devices.

As original contribution a position feedback control using conventional PID controller is applied for iterative determining inverse dynamic problem, that is finding input voltage for a given position of an actuator.

The systems approach is an exemplar of design science research (DSR), whereby specific designs yield generic knowledge. DSR is increasingly being adopted in logistics and operations management research, but many point to neglect of the human aspects of solutions developed. The authors argue that it is possible to look back at the history of the systems movement to seek precedent for ‘dealing’ with the social components, providing a methodologically pluralistic ‘research design’ framework. Thereby, systems approaches are foundational to providing a design-based ‘science’ to progressing the logistics and supply chain management field, dealing with contemporary topics such as resilience.

The authors undertake a discursive assessment of relevant streams of engineering, social science and systems research, with a conceptual development of how the latter influences supply chain design approaches.

Building on a phenomenological framework, the authors create a generic design science research design (DSRD) that enables researchers to choose and integrate the right tools and methods to address simple, complicated and complex problems, dealing with technological, process and social problems.

The DSRD provides a framework by which to exploit a range of methodological stances to problem solving, including quantitative modelling perspectives and ‘soft’ systems social science approaches. Four substantive gaps are identified for future research – establishing the root cause domain of the problem, how to deal with the hierarchy of systems within systems, establishing appropriate criteria for the solution design and how best to deal with chaotic and disordered systems.

The authors argue that the systems approaches offer methodological pluralism by which a generic DSRD may be applied to enhance supply chain design. The authors show the relevance of the DSRD to supply chain design problems including in reducing supply chain dynamics and enhance resilience. In doing so, the study points towards an integrated perspective and future research agenda for designing resilient supply chains.

The use of the prominent finite difference time‐domain (FDTD) method for the time‐domain solution of electromagnetic wave propagation past devices with small geometrical details can require very fine grids and can lead to unmanageable computational time and storage. The purpose of this paper is to extend the analysis of a discontinuous Galerkin time‐domain (DGTD) method (able to handle possibly non‐conforming locally refined grids, based on portions of Cartesian grids) and investigate the use of perfectly matched layer regions and the coupling with a fictitious domain approach. The use of a DGTD method with a locally refined, non‐conforming mesh can help focusing on these small details. In this paper, the adaptation to the DGTD method of the fictitious domain approach initially developed for the FDTD is considered, in order to avoid the use of a volume mesh fitting the geometry near the details.

Based on a DGTD method, a fictitious domain approach is developed to deal with complex and small geometrical details.

The fictitious domain approach is a very interesting complement to the FDTD method, since it makes it possible to handle complex geometries. However, the fictitious domain approach requires small volume elements, thus making the use of the FDTD on wide, regular, fine grids often unmanageable. The DGTD method has the ability to handle easily locally refined grids and the paper shows it can be coupled to a fictitious domain approach.

Although the stability and dispersion analysis of the DGTD method is complete, the theoretical analysis of the fictitious domain approach in the DGTD context is not. It is a subject of further investigation (which could provide important insights for potential improvements).

This is believed to be the first time a DGTD method is coupled with a fictitious domain approach.