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In this article we aim to understand how the network formed by fitness tracking devices and associated apps as a subset of the broader health-related Internet of things is capable of spreading information.

The authors used a combination of a content analysis, network analysis, community detection and simulation. A sample of 922 health-related apps (including manufacturers' apps and developers) were collected through snowball sampling after an initial content analysis from a Google search for fitness tracking devices.

The network of fitness apps is disassortative with high-degree nodes connecting to low-degree nodes, follow a power-law degree distribution and present with low community structure. Information spreads faster through the network than an artificial small-world network and fastest when nodes with high degree centrality are the seeds.

This capability to spread information holds implications for both intended and unintended data sharing.

The analysis confirms and supports evidence of widespread mobility of data between fitness and health apps that were initially reported in earlier work and in addition provides evidence for the dynamic diffusion capability of the network based on its structure. The structure of the network enables the duality of the purpose of data sharing.

By now, you have surely heard of the Network Computer or NC. The author has been poking fun at the NC in “Trailing Edge Notes” (Library Hi Tech News) for several months. This article takes a more serious look at NCs and related “simple computers.” While the author considers the grand conception of NC to be universal appliance is probably nonsense, there are niches for which some form of NC may make sense—and other niches, some large, where administrators may prefer NCs for various reasons. The author considers the NC and related devices as dispassionately as possible, notes some of the reasons for the absurd hype surrounding NCs, and suggests where they might offer legitimate promise.

The research and practice agree that social media are reshaping strategy and organization rules across industries. Nevertheless, how social media can become a source of competitive advantage remains under-investigated and there is no evidence about which capabilities and competencies can effectively and strategically exploit social media. By merging the literature on social media management and hospitality, the authors develop and test a theoretical framework that identifies the most relevant capabilities and competencies for using social media in the food service sector. The paper aims to map them and understand which ones are relevant according to different strategic choices of social media use.

The authors adopted a qualitative methodology using semi-structured interviews to managers or owners of 14 restaurants in a big city in Northern Italy.

The theoretical framework suggests that social media could be strategically used for different aims by relying on specific capabilities and competencies. The authors tested it and found that, though nowadays restaurant managers mainly focus on a narrow set of social media competencies linked to relational and marketing capabilities, some also rely on social media to promote organizational change and innovation.

The authors propose a theoretical framework and preliminary evidence on capabilities and competencies declined for the food service sector. The model considers different uses of social media and related capabilities and competencies by mapping them accordingly to their strategic use. The authors preliminarily validate our framework and highlight the competencies possessed by the restaurant managers of our sample and their alignment with the strategic use of social media.

The paper has been developed from a critical review of available literature drawn from the micro firm, managerial capability and innovation management fields. The paper aims to address these issues.

The paper has been developed from a critical review of available literature drawn from the micro firm, managerial capability and innovation management fields.

Four criteria of micro firm managerial capability emerge from micro firm managerial traits in the literature namely, leadership; strategic thinking; problem solving and people relationships. The review also shows that micro firms are embedded in three resource pools which include stakeholder ties; the local community and the proximate market environment. Micro firm managerial capability is argued to emerge from the interaction of the managerial capability criteria and the resources in a process mediated by the resource based and dynamic capabilities perspectives from the strategic management literature.

A gap in the academic literature is identified and the proposed theoretical model is presented to address this deficiency in the literature. Future empirical research is recommended.

This proposed model will allow practitioners to better conceptualise and design programmes that will assist companies in developing managerial capabilities to innovate. Deep links between hotel industry practitioners and the academic community will enable the effective dissemination of the research.

Hotel micro firms play an important social and economic role. There has been little research into how they innovate and specifically into managerial capability for innovation in context. The present research uses conceptual research to map the field and identify critical avenues for future research.

Operational practices and operational capabilities are critical yet distinct elements in operations strategy. The purpose of this paper is to examine their conceptual differences and explore how they are developed in a portfolio, considering the potential for practices and capabilities to be either compensatory or additive in nature.

The compensatory model argues that the lack of investments in certain practices or capabilities can be offset by higher level of investments in other practices or capabilities. In contrast, the additive model argues that the firm must invest in certain practices or capabilities and that trade‐offs are impossible. The authors examine evidence for these two competing models using an approach borrowed from studies of multi‐attribute consumer preference models and statistical comparisons of non‐nested models.

Data for the study were collected from operations managers who were members of a large professional organization. The findings indicate that the effects of operational practices are additive for some operational outcomes and compensatory for others. However, the combinatorial nature of operational capabilities is purely compensatory.

The results imply that adequate investment in a wide range of operational practices is necessary to enhance operations performance. However, operations units appear to have more flexibility in choosing to develop a distinctive operational capability set.

The study clarifies the different orientation of operational practices and operational capabilities as they contribute to operations strategy. The findings provide guidelines regarding the combinatorial natures of operational practices and operational capabilities. These guidelines have critical strategic implications for resource allocation schemes and how these schemes affect operational performance.

In today’s digital era, data pertaining to scientific research have attracted considerable attention of researchers. Data of scientific publications can be modeled in the form of networks such as citation networks, co-citation networks, collaboration networks, and others. Identification and ranking of important nodes in such networks is useful in many applications, such as finding most influential papers, most productive researchers, pattern of citation, and many more. The paper aims to discuss this issue.

A number of methods are available in literature for node ranking, and K-shell decomposition is one such method. This method categorizes nodes in different groups based on their topological position. The shell number of a node provides useful insights about the node’s importance in the network. It has been found that shells produced by the K-shell method need to be further refined to quantify the influence of the nodes aptly. In this work, a method has been developed, which ranks nodes by taking the core(s) as the origin and second-order neighborhood of a node as its immediate sphere of influence.

It is found that the performance of the proposed technique is either comparable or better than other methods in terms of correctness and accuracy. In case of assigning different ranks to nodes, the performance of the proposed technique is far more superior to existing methods. The proposed method can be used to rank authors, research articles, and fields of research.

The proposed method ranks nodes by their global position in a network as well as their local sphere of information. It leads to better quantification of a node’s impact. This method is found to be better in terms of accuracy and correctness. In case of assigning different ranks to nodes, the performance of the proposed technique is far more superior to existing methods.

Latest Computational Fluid Dynamics (CFDs) tools allow modeling more finely the conjugate thermo-fluidic behavior of a single electronic component mounted on a Printed Wiring Board (PWB). A realistic three-dimensional representation of a large set of electric copper traces of its composite structure is henceforth achievable. The purpose of this study is to confront the predictions of the fully detailed numerical model of an electronic board to a set of experiment results to assess their relevance.

The present study focuses on the case of a Ball Grid Array (BGA) package of 208 solder balls that connect the component electronic chip to the Printed Wiring Board. Its complete geometrical definition has to be coupled with a realistic board layers layout and a fine description of their numerous copper traces to appropriately predict the way the heat is spread throughout that multi-layer composite structure. The numerical model computations were conducted on four CFD software then compare to experiment results. The component thermal metrics for single-chip packages are based on the standard promoted by the Joint Electron Device Engineering Council (JEDEC), named JESD-51. The agreement of the numerical predictions and measurements has been done for free and forced convection.

The present work shows that the numerical model error is lower than 2 per cent for various convective boundary conditions. Moreover, the establishment of realistic numerical models of electronic components permits to properly apprehend multi-physics design issues, such as joule heating effect in copper traces. Moreover, the practical modeling assumptions, such as effective thermal conductivity calculation, used since decades, for characterizing the thermal performances of an electronic component were tested and appeared to be tricky. A new approach based on an effective thermal conductivity matrix is investigated to reduce computation time. The obtained numerical results highlight a good agreement with experimental data.

The study highlights that the board three-dimensional modeling is mandatory to properly match the set of experiment results. The conventional approach based on a single homogenous layer using effective thermal conductivity calculation has to be banned.

The thermal design of complex electronic components is henceforth under increasing control. For instance, the impact of gold wire-bonds can now be investigated. The three-dimensional geometry of sophisticated packages, such as in BGA family, can be imported with all its internal details as well as those of its associated test board to build a realistic numerical model. The establishment of behavioral models such as DELPHI Compact Thermal Models can be performed on a consistent three-dimensional representation with the aim to minimize computation time.

The study highlights that multi-layer copper trace plane discretization could be used to strongly reduce computation time while conserving a high accuracy level.

Regulators such as Turner have identified excessive securitization, high leverage, extensive market trading and a bonus culture, as being major factors in bringing about the bank centred financial crisis of 2007‐2009. Whilst it is inevitable that banks adopt procyclical business strategies, not all banks took excessive risks and subsequently had to be rescued by taxpayers. The paper examines the extent to which individual bank outcomes can be attributed to systematic differences in banking knowledge concerning the primary risks and value drivers of their organisations by bank board directors and top management.

The paper reviews a wide range of theoretical, historical and empirical literatures on banking models and detailed case analyses of failing and non‐failing banks. A framework for understanding the role and application of knowledge in banking is developed which suggests how banks, despite their pro‐cyclical business strategies, are able to institutionalise learning and actively create new knowledge through time to improve bank organisation, intermediation and risk management.

The paper finds that a lack of basic knowledge of banking risks and value drivers by the boards and senior managers of the failing banks were implicated in the banking crisis. These knowledge problems concerned banks' understanding of their organisation, intermediation and risk management in an active market setting characterised by rapid economic and organisational change. Thus, the failing banks ignored or were unaware of this knowledge and hence experienced acute difficulties with learning the new knowledge needed to address the new problems thrown‐up by the financial crisis.

The analysis suggests that addressing this knowledge gap via the institutionalisation of banking knowledge ought to constitute an important element of any sustainable solution to the problems currently being experienced by the banking sector. By ensuring greater bank learning, knowledge creation, and knowledge use, governments and regulators could help reduce individual bank risk and the likelihood of future crisis.

In contrast to the claims made by some politicians and banking insiders, the analysis indicates that the banking crisis and its severity were neither unpredictable nor unavoidable since some banks, by institutionalising banking knowledge and history of past crises, successfully avoided the pitfalls experienced by the failing banks.

Different forms of strategic flexibility allow for reactive adaptation to different changing environments and the proactive driving of change. It is therefore becoming increasingly important for decision makers to not only possess marketing capabilities, but also the capabilities for strategic flexibility in its various forms. However, our knowledge of the relationships between decision makers' different ways of thinking and their capabilities for strategic flexibility is limited. This limitation is constraining research and understanding. In this article we develop a theoretical cognitive content framework that postulates relationships between different ways of thinking about strategy and different information‐processing demands. We then outline how the contrasting beliefs of decision makers may influence their capabilities to generate different hybrid forms of strategic flexibility at the cognitive level. Theoretically, the framework is embedded in resource‐based theory, personal construct theory and schema theory. The implications for research and theory are discussed.

The purpose of this paper is to describe the development and application of a theoretical framework to examine the connections between different types of suppliers, their capabilities and opportunities in customer relationships, and the illustration of these connections through the findings from empirical case studies of small and medium‐sized suppliers in the metal industry in Denmark.

Multiple case studies involving 17 small and medium‐sized suppliers within the Danish metal industry were undertaken.

By focusing on the development of capabilities that are “valuable” to customers in specific types of supply, small and medium‐sized suppliers may improve their responses to opportunities in their customer relationships.

Further investigation is needed on the longer‐term impacts of valuable capabilities on opportunity enactment by suppliers, and the examination of key issues arising from these findings across different industries and countries.

Small and medium‐sized suppliers, their customers and government agencies involved with suppliers should advocate and actively support the development of valuable capabilities to enhance the effectiveness of suppliers' relationship and network strategies and their potential to seize opportunities.

This study highlights that different types of suppliers require different types of current and future valuable capabilities to seize opportunities and sustain current customers or develop new customer relationships.