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Journal of Technology Management for Growing Economies
Number of Followers: 0  

  This is an Open Access Journal Open Access journal
ISSN (Print) 0976-545X - ISSN (Online) 2456-3226
Published by Chitkara University Homepage  [9 journals]
  • A Systematic Evaluation of Literature on Internet of Things (IoT) and
           Smart Technologies with Multiple Dimensions

    • Authors: Inderpreet Kaur Preet; Kamaljit Singh Saini
      Abstract: The advent of state of the art advanced technologies is necessitated by the ever-increasing onset and infiltration of our lives by the smart devices and gadgets for providing an array of services. The conventional methods and techniques already becoming obsolete and the consistent and persistent demand for provision of high end services with a greater degree of accuracy by various sectors, paves the way for collaboration of smart technologies such as Internet of things, Internet of everything, Internet of Vehicles etc. with the smart gadgets and devices. This systematic review tries to explore the avenues for research and multiple streaming of segments by the analysis of allied smart systems comprising of smart devices and multi-dimensional IoT, IoE, IoV etc. 
      PubDate: Fri, 31 Jul 2020 16:24:16 +053
       
  • Performance Appraisal in the Era of New Normal

    • Authors: Nitika Kaushik Nitika; Poonam Arora
      Abstract: Performance Appraisal is the process of assessing the accomplishments of workforce & to ac­knowledge their capabilities for facilitating development. Performance evaluation is one of the areas in Human resource management which is considerably affected by the spread of pandemic severe acute respiratory syndrome corona virus 2. This virus outbreak posed new challenges for the companies across the globe. As a result in order to tackle this uncertainty various organiza­tions have taken measures to cut down the expenses like deferment in the appraisal cycle or for muted salary increments. Thus one of the objectives of this paper is to study the impact of Covid -19 on performance appraisal of employees. Further this pandemic is equally challenging for the managers also. As social distancing and working remotely have become a new normal, employees work remotely from each other and from managers, and this will be more common in the fu­ture. Managers are now searching for new ways to ‘do visibility’ without always being physically present. It has also become the vital demand of the situation as managers must be aware of the circumstances in which employees are working in. Therefore another objective of this paper is to suggest an approach to manage the performance evaluations of remote working employees. It is recommended that managers should adopt the choice based approach for performance evaluation instead of control based approach. The review is formed on articles and reports from various internet sources and journals. Further some ways of managing the performance assessment of remotely working employees and scope for the future are also discussed.
      PubDate: Fri, 31 Jul 2020 00:00:00 +053
       
  • Managing in a VUCA World: Possibilities and Pitfalls

    • Authors: Deepti Sinha; Sachin Sinha
      Abstract: The world in which we live is over brimming with chaos and turbulence. Unpredictability has become the order of the day. Everything around us seems to be in a state of continuous flux. We are trapped in the vortex of an unending cyclone of change. The very existence of humankind is in a state of dynamic equilibrium, so to say. We as a species are striving and struggling to survive in a world that can at best be summarily described by a four-letter acronym called VUCA (Volatile, Uncertain, Complex, Ambiguous). The world in general and the corporate world in particular needs to thinks about devising concrete strategies to overcome the challenges offered by these four dominant characteristic waves sweeping the environment. The paper aims to understand the volatility, uncertainty, complexity and ambiguity inherent in the environment in detail, to analyse the challenges offered by them and to finally explore the solutions to overcome these challenges.
      PubDate: Fri, 31 Jul 2020 00:00:00 +053
       
  • A Literature Review on Machine Learning Applications in Financial
           Forecasting

    • Authors: Muskaan; Pradeepta Kumar Sarangi
      Abstract: Analyzing the past trend and predicting the future movement is an important aspect for every business. Knowing the future value makes an organization more efficient in planning specially if it is related to financial factors. This can be achieved by analyzing the historical data of the company. This is called time series analysis. The increased application of computer and information technologies, has made this more effective and accurate which is called machine learning. Methods of Machine Learning (ML) have been proposed as alternative approach to statistical metthods by many researchers in their academic literature. This paper presents a review of the works where the authors have used machine learning techniques in financial forecasting.
      PubDate: Fri, 31 Jul 2020 00:00:00 +053
       
 
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