Abstract-The capabilities of an Enterprise ResourcePlanning (ERP) system to integrate all the business functions needed in a single system with a shared database efficiently and effectively has persuaded organizations to adopt them. In enterprise environment, successful ERP implementation has played a vital role for organizational efficiency. In this respect critical success factors (CSFs) have been identified essential for the successful ERP implementation. The purpose of this paper is to identify and analyze CSFs impacting ERP implementation success in Pakistani Small and Medium Sized Enterprises (SMEs). This paper will help Pakistani SME's on how to obtain better results from ERP implementation focusing on CSFs relevant to them.

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Telemedicine systems have been steadily increasing in number and scale over the past decades. This increasing trend intensifies the need for telemedicine in the era of national health care system. The increasing size of distributed telemedicine systems creates problem of data integration, vendor lock-in and interoperability.In this thesis, we state the above problems and solutions of current telemedicine system by showing an example of Tele-Wound TM architecture. To achieve this goal, we have set of requirements from a company named as A-B medicine in order to build a telemedicine application for them. Those set of requirements will be named as Tele-Wound TM application, which is the part of telemedicine system. This thesis presents mainly architecture of Tele-Wound TM which is being build as Service Oriented Architecture (SOA), because we believe that by the adoption of SOA several problems in today's telemedicine system can be resolved. Currently several resources are complaining that users become limited to a single vendor due to announcement of new technology, so this thesis can at least presents the few solution of users problem.We provide a detailed description of requirement of Tele-Wound TM system, and then proceed to design of an architecture that could be used as an example to other related application. The particular architecture that we have designed is comprises of several web services.In addition to the specific results that we present, we feel that the collective wisdom provided by the theory, requirement, evaluation and discussion throughout this thesis provides valuable insight for others in the same area of research.

Smart Sensing has shown notable contributions in the healthcare industry and revamps immense advancement. With this, the present smart sensing applications such as the Internet of Medical Things (IoMT) applications are elongated in the COVID-19 outbreak to facilitate the victims and alleviate the extensive contamination frequency of this pathogenic virus. Although, the existing IoMT applications are utilized productively in this pandemic, but somehow, the Quality of Service (QoS) metrics are overlooked, which is the basic need of these applications followed by patients, physicians, nursing staff, etc. In this review article, we will give a comprehensive assessment of the QoS of IoMT applications used in this pandemic from 2019 to 2021 to identify their requirements and current challenges by taking into account various network components and communication metrics. To claim the contribution of this work, we explored layer-wise QoS challenges in the existing literature to identify particular requirements, and set the footprint for future research. Finally, we compared each section with the existing review articles to acknowledge the uniqueness of this work followed by the answer of a question why this survey paper is needed in the presence of current state-of-the-art review papers. Index Terms-Smart sensing, QoS of IoMT, IoMT applications in COVID-19, QoS requirements, QoS challenges, routing protocols. I. INTRODUCTIONC OVID-19 is an infectious and transmittable virus that can provoke penetrating respiratory syndrome in humans [1]. This virus has been spread all over the globe and infected 437,792,328 individuals, followed by 5,978,217 fatalities and 369,500,307 recovered cases by March 1, 2022 [2]. The research community believes that COVID-19 infection rates Manuscript

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