Journal of Technology Management for Growing Economies

Journal Information
ISSN / EISSN : 0976-545X / 2456-3226
Current Publisher: Chitkara University Publications (10.15415)
Total articles ≅ 17
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Latest articles in this journal

Ashok Kumar Sahoo, Pradeepta Kumar Sarangi, Rajeev Gupta
Journal of Technology Management for Growing Economies, Volume 11, pp 49-53; doi:10.15415/jtmge.2020.112006

Abstract:
In almost all countries, classroom teaching has been suspended from mid March 2020 and currently no fresh dates have been announced by Governments to start the date. In view of this, almost all educational institutions in India are offering a variety of alternative teaching learning platforms to their students, whether Government run Institutions or privately run Institutions. The Institutions also conducted or planning to conduct their internal or final examinations through various platforms. In this paper, a number of online options for teaching and evaluation are discussed. The study is limited to India and discussion of software based platforms, whether web based or mobile apps based are considered. The research is limited to higher education sector specifically in undergraduate engineering education.
Amandeep Kaur, Madhu Dhiman, Mansi Tonk, Ramneet Kaur
Journal of Technology Management for Growing Economies, Volume 11, pp 41-47; doi:10.15415/jtmge.2020.112005

Abstract:
Artificial Intelligence is the combination of machine and human intelligence, which are in research trends from the last many years. Different Artificial Intelligence programs have become capable of challenging humans by providing Expert Systems, Neural Networks, Robotics, Natural Language Processing, Face Recognition and Speech Recognition. Artificial Intelligence brings a bright future for different technical inventions in various fields. This review paper shows the general concept of Artificial Intelligence and presents an impact of Artificial Intelligence in the present and future world.
Anshu Singla, Nishu Bali, Deepika Chaudhary
Journal of Technology Management for Growing Economies, Volume 11, pp 63-67; doi:10.15415/jtmge.2020.112008

Abstract:
In times when everything is online, one thing which is common in every application is the use of data. Data is being generated every second, when applications are generating exponentially larger data sets every second it’s the big data which comes into effect. The major objective of this paper is to state the meaning of big data, figure out various ways as how to digest this data. Further this paper will also focus on the applications of Big Data in multiple segments: Finance, Banking and Securities and Health Care Sector .
Puninder Kaur, Taruna Sharma, Jaswinder Singh
Journal of Technology Management for Growing Economies, Volume 11, pp 55-61; doi:10.15415/jtmge.2020.112007

Abstract:
In the recent era, the demand of the internet is increasing. The Internet is global computer network that provide the sharing of data and information. Internet is useful in every field. It modifies the way of working, living style and contributed positive impact on our life. With the raising of the demand new tools and technologies are developed. The internet is classified in various generations depends on the functionality and key features. In this paper the generations of the internet and functionality are discussed. The internet has 1.0, 2.0, and 3.0 that provides internet protocols. Internet 4.0 and 5.0 are grownup and it works on wireless and sensor network devices. With the development of new generation the data rate, flexibility, Quality of service, performance and many other features are improved. In this survey focus on the features, techniques and tools provided by each generation.
Deepti Sinha, Sachin Sinha
Journal of Technology Management for Growing Economies, Volume 11, pp 17-21; doi:10.15415/jtmge.2020.111003

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.
Muskaan, Pradeepta Kumar Sarangi
Journal of Technology Management for Growing Economies, Volume 11, pp 23-27; doi:10.15415/jtmge.2020.111004

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.
Nitika Kaushik Nitika, Poonam Arora
Journal of Technology Management for Growing Economies, Volume 11, pp 11-15; doi:10.15415/jtmge.2020.111002

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.
Inderpreet Kaur Preet, Kamaljit Singh Saini
Journal of Technology Management for Growing Economies, Volume 11, pp 1-10; doi:10.15415/jtmge.2020.111001

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.
Poonam Arora Poonam
Journal of Technology Management for Growing Economies, Volume 10, pp 73-79; doi:10.15415/jtmge.2019.102006

Abstract:
Cloud computing is enabling human resource (HR) management functions to strategically integrate into business operations. Its acting as a game changer for HR amid intense competition to survive and grow. Digital disruption, transformation, agility has set the new benchmarks for organizations to automate and redesign their functions. Cloud Computing offers HR a completely new dimension with cloud centric benefits like reduction in communication gap, increased organizational excellence, effective talent strategies, data driven decision making, and supporting revenue in organizations. Cloud Computing has the right capability to redesign major HR functions with agility to match the changing requirements of business, automating transactional activities, smarter decision making and meeting the business expectations. Use of HR cloud in organization can result into structural benefits beyond technological advancements. Cloud HR gives organizations flexibility of location, prompt information processing, effective use of data analytics and strategic decision making. This paper discusses ways through which cloud computing could be integrated into HR functions. An analysis on applications of cloud computing in human resource areas with their outcomes is also presented in this paper. A brief note on future prospects of cloud computing in HRM is also discussed.
Mekhla Sharma, Ankur Gupta
Journal of Technology Management for Growing Economies, Volume 10, pp 89-96; doi:10.15415/jtmge.2019.102008

Abstract:
Intercloud is a single logical entity orchestrating resources from different individual clouds providing on-demand resource provisioning in a seamless manner. However, achieving efficient resource discovery in the intercloud environment remains a challenging task owing to the heterogeneity of resources and diversity of cloud platforms. The paper briefs about intercloud resource discovery, outlines the current work done using existing approaches and examines the challenges involved. Finally, the paper explains the concept of blockchain and presents an innovative conceptual model for efficient resource discovery in intercloud.
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