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ABSTRACTAn understanding of the nature of service architecture and modularity is crucial to service design and innovation. Two sets of approaches are developed that further our understanding and support decision making. First is a systematic decomposition approach to architecture modeling that allows organizations to understand their current architecture, evaluate alternative architectures, and identify key interfaces between different parts of the service. Second, the article develops a service modularity function (SMF), a mathematical model indicating the degree of modularity deriving from unique services and the degree to which the modules can be replicated across a variety of services. Three areas are identified that can contribute to competitiveness: the possession of unique service modules or elements not easily copied in the short term by competitors; the ability to exploit these through replication across multiple services and/or multiple sites; and the presence of a degree of modularity, which in turn supports both customization and rapid new product development. The SMF can support decision making in the design of services and the exploitation of service innovation. In particular, the relationship between architecture and modularity and the roles of service contact personnel in the customization of services is shown to be complementary. It is proposed that service customization can be either combinatorial (the combination of a set of service processes and products to create a unique service) or menu driven (the selection of one or more services from a set of existing services/products to meet customer needs).

From Bangladesh and Hong Kong to Iran and South Africa, film industries around the world are rapidly growing at a time when new digital technologies are fundamentally changing how films are made and viewed. Larger film industries like Bollywood and Nollywood aim to attain Hollywood's audience and profitability, while smaller, less commercial, and often state-funded enterprises support various cultural and political projects. The contributors to Anthropology, Film Industries, Modularity take an ethnographic and comparative approach to capturing the diversity and growth of global film industries. They outline how modularity—the specialized filmmaking tasks that collectively produce a film—operates as a key feature in every film industry, independent of local context. Whether they are examining the process of dubbing Hollywood films into Hindi, virtual reality filmmaking in South Africa, or on-location shooting in Yemen, the contributors' anthropological methodology brings into relief the universal practices and the local contingencies and deeper cultural realities of film production.
Contributors. Steven C. Caton, Jessica Dickson, Kevin Dwyer, Tejaswini Ganti, Lotte Hoek, Amrita Ibrahim, Sylvia J. Martin, Ramyar D. Rossoukh

Binary relations or interactions among bio-entities, such as proteins, set up the essential part of any living biological system. Protein-protein interactions are usually structured in a graph data structure called "protein-protein interaction networks" (PPINs). Analysis of PPINs into complexes tries to lay out the significant knowledge needed to answer many unresolved questions, including how cells are organized and how proteins work. However, complex detection problems fall under the category of non-deterministic polynomial-time hard (NP-Hard) problems due to their computational complexity. To accommodate such combinatorial explosions, evolutionary algorithms (EAs) are proven effective alternatives to heuristics in solving NP-hard problems. The main aim of this study is to make a close examination of the performance of the EAs where modularity and modularity density are selected as two different objective functions. Topology-based modularity and topology-based modularity density are designed to examine the detection ability of the EAs and to compare their performance. To conduct the experiments, two yeast Saccharomyces cerevisiae PPINs are used and evaluated under nine evaluation metrics. The results reveal the potential impact of the topology-based modularity density to outperform the counterpart modularity functions in almost all evaluation metrics.

Purpose– The purpose of this paper is to analyse the way in which the factors influencing a transformation towards or away from modularity, according to general modular systems theory, appear in the context of health services, and the extent to which the special characteristics of health services might support or prevent its application.Design/methodology/approach– The arguments constructed in the study are based on the theme of modularity, reflected against the special characteristics of health services identified in the context of health economics.Findings– The results include 11 proposition pairs that direct health services both towards and away from modularity.Research limitations/implications– Health services are highly heterogeneous in nature and the authors illustrate this with a wide range of examples from elderly care as the authors discuss the application of modularity in this context. Nevertheless, the authors recognise that modularity might suit some health services better than others. The findings provide potentially important information to health service managers and providers, enabling them to understand how modularity would benefit health service provision and where contradictions are to be expected.Originality/value– This study contributes to the discourse on service modularity in general, and complements the literature on modularity with reference to both public and private health services.