If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -This paper aims to study the adoption of mobile technology in business and its determinants. A diagnostic tool for proper adoption of mobile technology is developed. Design/methodology/approach -Grounded on the fit-viability framework, the paper uses a multi-case study via the fit and viability dimensions to examine the success or failure of mobile technology applications in business. Findings -By drawing upon multiple streams of theory building, the paper is able to develop a set of measurement instruments to assess the fit and viability in adopting mobile technology. The findings demonstrate that the fit-viability model (FVM) provides useful guidelines for enterprises in their decisions on whether to adopt a mobile technology. Research limitations/implications -First, the theoretical generalizability of the FVM needs to be more carefully observed in future studies. Second, the findings are exploratory and more extensive studies may be necessary. Practical implications -Chief information officers and managers can use the developed instrument to measure the fitness and viability of implementing mobile technology in organizations. This should be able to increase the possibility of success. Originality/value -This is one of the first papers to combine the fit and viability aspects and to empirically demonstrate the value of this two-dimensional model.

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These days cloud-based infrastructure is facing many challenges, out of which the major issue is their syncing data before cutover and data migration. Due to the limited scalability in terms of security concerns of cloud computing, the need for a centralized IoTs based environment has been constrained to a limited extent. The sensitivity of device latency emerged during healthy systems such as health monitoring, etc. is the main reason, because healthy systems require computing operations on highvolume data. Fog computing provides an innovative solution to improve the performance of cloud computing, providing the ability to take the necessary resources and those that are closer to the end-users. Existing fog computing models retain several limitations, such as either considering result accuracy or overestimating response time, but managing both together impairs system compatibility. FETCH is a proposed framework that integrates with edge computing devices to work on deep learning technology and automated monitoring and offers a highly useful framework for real-life health care systems such as heart disease and more. The proposed Fog-enabled cloud computing framework uses FogBus, which demonstrates utility in the form of consumption of power, network bandwidth, jitter, latency, process execution time, and their accuracy as well.

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