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This paper deals with competence management from a system's perspective. The authors adopt the meta-model for systems, as introduced by Eric Schwarz, and explain the basic systemic categories (components, relations, whole) of the organisation, in terms of competences. The systemic nature and the interdependencies of competence assets, capabilities and core competences are presented. Subsequently, the authors explore the viability of organisations, from the perspective of competences, and building on the characteristics of viable systems as described by Schwarz. They introduce Systemic Competence Management, a way to manage competence assets, capabilities and core competences in support of the viability of the organisation.

The competence-based perspective shares with the resource-based view the notion of the fundamental importance of an organization's resources in its competitive outcomes.¹ In his paper “Probing into the nature of resources: Sustainable advantages and appropriable rents in the U.S. motion picture industry,” Jamal Shamsie investigates the sustainability of the competitive advantages that strategically important resources can bring to a firm, as well as the appropriability of the economic profits (rents) that can be derived from the uses of resources. To this end, the paper develops a classification of resource types based on the nature of a resource's ownership and control. Shamsie studies the U.S. motion picture industry to assess the degree of sustainable advantages and appropriable rents that can be generated by three types of resources: contracted resources, owned resources, and embedded resources. His findings suggest that in the subject industry both sustainability and appropriability are likely to be low for contracted resources such as top-rated stars and directors, while the greatest potential for sustainability and appropriability attach to embedded resources that accumulate firm-specific knowledge and learning in the development and marketing of various film genres.

Tremendous measure of data lakes with the exponential mounting rate is produced by the present healthcare sector. The information from differing sources like electronic wellbeing record, clinical information, streaming information from sensors, biomedical image data, biomedical signal information, lab data, and so on brand it substantial as well as mind-boggling as far as changing information positions, which have stressed the abilities of prevailing regular database frameworks in terms of scalability, storage of unstructured data, concurrency, and cost. Big data solutions step in the picture by harnessing these colossal, assorted, and multipart data indexes to accomplish progressively important and learned patterns. The reconciliation of multimodal information seeking after removing the relationship among the unstructured information types is a hotly debated issue these days. Big data energizes in triumphing the bits of knowledge from these immense expanses of information. Big data is a term which is required to take care of the issues of volume, velocity, and variety generally seated in the medicinal services data. This work plans to exhibit a survey of the writing of big data arrangements in the medicinal services part, the potential changes, challenges, and accessible stages and philosophies to execute enormous information investigation in the healthcare sector. The work categories the big healthcare data (BHD) applications in five broad categories, followed by a prolific review of each sphere, and also offers some practical available real-life applications of BHD solutions.