http://3.214.134.51/tmgejournal/index.php/tmge/issue/feed Journal of Technology Management for Growing Economies 2020-08-04T20:04:59+0530 Dr. Jaiteg Singh editor.tmg@chitkara.edu.in Open Journal Systems <p>The<strong> Journal of Technology Management for Growing Economies</strong> (J. Technol. Manag. Grow. Econ.) was started in 2010 with an intent to extensively cover research work with innovations and management of technology. Technology has a direct impact on our lives. It is a well-known fact that the developed economies are surging ahead to the next level of growth whereas the emerging economies are still reeling under pressure with numerous issues to manage the innovations in multiple domains viz. education, healthcare, transport, energy, environment, agriculture and shelter among others. Here, sharing and management of technology can play a key role in making a difference to the lives of so many people providing a better quality of life. The&nbsp;<strong>J. Technol. Manag. Grow. Econ.</strong> has therefore been created to assess and debate about relevant technologies which could bring about a change in growing economies.</p> <p>The <strong>J. Technol. Manag. Grow. Econ.</strong> is a biannual, open access and fully refereed journal. Being focused on Engineering and Management, it broadly covers contemporary research work on technology and strategies for effective management of research outcomes in these fields. We do not charge any publication fees from prospective authors.</p> <p><strong>J. Technol. Manag. Grow. Econ.</strong> publishes only original, unpublished manuscripts such as Research Papers, Survey Papers, Review Papers, Thesis (or Chapters thereof) and Case Studies. J. Technol. Manag. Grow. Econ. boasts of its fast review process. The manuscripts are blind peer reviewed within two weeks of submission and authors are communicated regarding the same.</p> <p><strong>J. Technol. Manag. Grow. Econ.</strong> has a team of scientists and academicians on its review panel and advisory board. The blind peer review process ensures that only high-quality research papers are selected for final publication. Critical evaluation of research paper is performed by each reviewer of J. Technol. Manag. Grow. Econ., with special emphasis on identification and reporting of plagiarism. At J. Technol. Manag. Grow. Econ., our endeavour is to ensure novelty in each research manuscript being published therein.</p> <p><strong>The areas of interest of J. Technol. Manag. Grow. Econ. include, but are not limited to: </strong></p> <ul class="list5"> <li class="show">Housing and Infrastructure</li> <li class="show">Energy</li> <li class="show">Empowerment of People</li> <li class="show">Water Management</li> <li class="show">Education Engineering and Management</li> <li class="show">Environment</li> <li class="show">Knowledge Management</li> <li class="show">Transportation</li> <li class="show">Technology Transfer and Management</li> <li class="show">Managing Marketing Mix</li> </ul> <p>&nbsp;</p> <p>&nbsp;</p> http://3.214.134.51/tmgejournal/index.php/tmge/article/view/161 A Systematic Evaluation of Literature on Internet of Things (IoT) and Smart Technologies with Multiple Dimensions 2020-08-04T20:04:57+0530 Inderpreet Kaur Preet inderpreet.1125@cgc.edu.in Kamaljit Singh Saini kamaljit.cse@cumail.in <p>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.&nbsp;</p> 2020-07-31T16:24:16+0530 Copyright (c) 2020 Inderpreet Kaur and Kamaljit Singh Saini http://3.214.134.51/tmgejournal/index.php/tmge/article/view/160 Performance Appraisal in the Era of New Normal 2020-08-04T20:04:54+0530 Nitika Kaushik Nitika nitika90309@gmail.com Poonam Arora poonamarora@ncuindia.edu <p>Performance Appraisal is the process of assessing the accomplishments of workforce &amp; 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.</p> 2020-07-31T00:00:00+0530 Copyright (c) 2020 Nitika Kaushik and Poonam Arora http://3.214.134.51/tmgejournal/index.php/tmge/article/view/159 Managing in a VUCA World: Possibilities and Pitfalls 2020-08-04T20:04:53+0530 Deepti Sinha sinhadeepti1405@gmail.com Sachin Sinha sachinsinha17@yahoo.com <p>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.</p> 2020-07-31T00:00:00+0530 Copyright (c) 2020 Deepti Sinha and Sachin Sinha http://3.214.134.51/tmgejournal/index.php/tmge/article/view/162 A Literature Review on Machine Learning Applications in Financial Forecasting 2020-08-04T20:04:59+0530 Muskaan muskaan@chitkara.edu.in Pradeepta Kumar Sarangi pradeepta.sarangi@chitkara.edu.in <p>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.</p> 2020-07-31T00:00:00+0530 Copyright (c) 2020 Muskaan and Pradeepta Kumar Sarangi