Machine learning is an algorithmic-based auto-learning mechanism that improves from its experiences. It makes use of a statistical learning method that trains and develops on its…
Abstract
Machine learning is an algorithmic-based auto-learning mechanism that improves from its experiences. It makes use of a statistical learning method that trains and develops on its own without the assistance of a person. Data, characteristics deduced from the data, and the model make up the three primary parts of a machine learning solution. Machine learning generates an algorithm from subsets of data that can utilise combinations of features and weights different from those obtained from basic principles. In this paper, an analysis of customer behaviour is predicted using different machine learning algorithms. The results of the algorithms are validated using python programming.
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Blockchain technology has led the evolution of double entry accounting system to triple entry accounting system. Triple entry accounting is an innovative, promising and potential…
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Blockchain technology has led the evolution of double entry accounting system to triple entry accounting system. Triple entry accounting is an innovative, promising and potential accounting method when implemented properly would be a game changer for dissemination of accounting information. It is an efficient way to address fundamental concerns of accounting information. This chapter discusses the triple entry accounting system, how it is different from double entry accounting and what are the concerns in implementing triple entry accounting. Triple entry accounting holds the potential to fundamentally evolve accounting practices, can enhance the effective utilisation and sustainable management of resources, and can contribute in development of financial markets.
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Akansha Mer and Amarpreet Singh Virdi
The study aims to propose a conceptual Bhartiya (Indian) model of workplace spirituality (WPS) in non-profit organisations (NPOs) in the context of burnout and resilience by…
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The study aims to propose a conceptual Bhartiya (Indian) model of workplace spirituality (WPS) in non-profit organisations (NPOs) in the context of burnout and resilience by synthesising the concepts of the east and the west. The researchers have kept an open approach by exploring various dimensions of WPS by reviewing the extant literature of both the east and the west. The researchers delved into Bhartiya (Indian) scriptures to identify the concepts that have similarity with the dimensions of WPS so that it may further assist in facilitating those dimensions in NPOs. Furthermore, to propose a conceptual Bhartiya model for NPOs, the researchers synthesised the literature pool of Bhartiya studies on WPS. They examined how WPS decreases burnout and leads to resilience. The study’s findings reveal that concepts from Bhartiya scriptures such as Karm Yog (Nishkam Karm, self-abnegation, swadharm), parasparam bhavayantaha, loksangrah, daivi sampat and kritagyata are instrumental in facilitating the constructs of WPS. Meaningful work is facilitated through karm yog; sense of community is facilitated through parasparam bhavayantaha and loksangrah; and alignment with organisational values is facilitated through daivi sampat and kritagyata. The findings further suggest that WPS is an antidote to burnout and an enabler of resilience.
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This paper surveys the literature on economic research in banking. Two streams of empirical research were reviewed. The first stream of empirical research focus on research…
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This paper surveys the literature on economic research in banking. Two streams of empirical research were reviewed. The first stream of empirical research focus on research examining the effect of bank behaviour on economic performance. The second stream of empirical research focus on research on the effect of economic events on bank behaviour and performance. We provide our views about what we have learned from this research and about what else we would like to know.
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Medha Gupta, Anmol Sharma, Kiran Sood and Simon Grima
Air pollution is the combination of fine particles and gases in the atmosphere that harm humans and animals. Our objective is to find the various air pollution contaminants and…
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Air pollution is the combination of fine particles and gases in the atmosphere that harm humans and animals. Our objective is to find the various air pollution contaminants and its repercussion on Homo sapiens’ health. We discuss how air quality is measured with the air quality index and measures that help us cope with the consequences of air pollution. To carry out this study, we carried out a systematic literature review to uncover the different dimensions of air pollution and mitigation strategies. From the existing literature and observations of the different data sets, we can conclude that air pollutants have a severe impact on the life of Homo sapiens, causing various diseases such as respiratory issues, skin diseases, etc. Today, we have ample laws, but the need of the hour is to initiate new policies to change the behavioural of Homo sapiens. Our findings will help in decision-making by stakeholders such as policy-makers, manufacturing industries, households, etc. This article will also help in highlighting the need for Homo sapiens behavioural change.
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The COVID-19 pandemic ushered in multiple challenges for employees, which led to employee turnover, disengagement at work, employees’ mental health issues, etc. The study tries to…
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The COVID-19 pandemic ushered in multiple challenges for employees, which led to employee turnover, disengagement at work, employees’ mental health issues, etc. The study tries to elucidate how artificial intelligence (AI) herald great promise in human resource management in decreasing cost, attrition level and enhancing productivity. Considering the dearth of studies on recent trends in human resource management (HRM) in the context of AI, the study elucidates the role of AI in facilitating seamless onboarding, diversity and inclusion (D&I), work engagement, emotional intelligence and employees’ mental health. Thus, a conceptual model of recent trends in HRM in the context of AI and its organisational outcomes is proposed. A systematic review and meta-synthesis method are undertaken. A systematic literature review assisted in critically analysing, synthesising, and mapping the extant literature by identifying the broad themes. The findings of the study suggest that using natural language processing (NLP) and robots has eased the onboarding process. D&I is promoted using data analytics, big data, machine learning, predictive analysis and NLP. Furthermore, NLP and data analytics have proved to be highly effective in engaging employees. Emotional Intelligence is applied through AI simulation and intelligent robots. On the other hand, chatbots, employee pulse surveys, wearable technology, and intelligent robots have paved way for employees’ mental health. The study also reveals that using AI in HRM leads to enhanced organisational performance, reduced cost and decreased intention to quit the organisation. Thus, AI in HRM provides a competitive edge to organisations by enhancing the performance of the employees.
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Narayanage Jayantha Dewasiri, Nawalage Shashini Piyumika Perera, W. A. I. D. Wijerathna, P. G. S. Amila Jayarathne, Vithiyalani Muthusamy and Simon Grima
This study aims to investigate the impact of the COVID-19 pandemic on businesses, their operations, and the financial conditions in Sri Lanka. A sample of 19 executive-level…
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This study aims to investigate the impact of the COVID-19 pandemic on businesses, their operations, and the financial conditions in Sri Lanka. A sample of 19 executive-level employees from 19 companies registered at the Colombo Stock Exchange in Sri Lanka was interviewed. The thematic analysis method was used to analyse the data. It demonstrates the insecurity of the current business situation, as with the pandemic, most large-scale operating companies have been permanently or temporarily closed. The financial condition was categorised into main sub-themes such as business profitability, liquidity problems, the balance of payments, working capital, and cash flows and was highly impacted during the COVID-19 outbreak. The findings of the study help to improve the favourable image of Sri Lankan companies by facilitating solutions to overcome the challenges and difficulties and are beneficial for the relevant government parties to amend policies and for investors to make prudent investment decisions. As a maiden study, this one focused on investigating the pandemic’s impact on business operations and developed a nine-step plan for organisations, employees, and the government to minimise the impact of COVID-19 on their businesses.
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Kuldeep Singh Kaswan, Jagjit Singh Dhatterwal, Premkumar Chithaluru and Ankita Tiwari
This research focuses on the challenges of establishing a better medical system that can detect and diagnose diseases earlier. Using such cutting-edge health systems, healthcare…
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This research focuses on the challenges of establishing a better medical system that can detect and diagnose diseases earlier. Using such cutting-edge health systems, healthcare practitioners may quickly and effectively manage patients’ medical issues by providing the appropriate data at the right time about the right people. The advancement of technology has increased the usefulness of devices that routinely analyse health measurements or monitoring time-sensitive health-related data. Medical professionals and patients alike are downloading health-related mobile apps to better track and manage their health. The research evidences how Internet of Things (IoT) technology may be used to support health care.
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Naresh Sachdev, Kiran Sood and Kawal Nain Singh
The purpose of the study is to understand the perception held by Micro Steel Enterprises in Punjab, India, towards the role played by FinTech in it. The quantitative study uses a…
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The purpose of the study is to understand the perception held by Micro Steel Enterprises in Punjab, India, towards the role played by FinTech in it. The quantitative study uses a structured questionnaire to collect primary responses. A total of 400 Micro Steel Enterprises have been approached from Punjab. Here, statistical analyses are used, including chi-square tests, Principal Component Analysis, Multiple Linear Regression and One-way ANOVA. The satisfaction levels across the three factors revealed a significant relationship with the financial aspect only. This clarifies the situation and reveals that using the FinTech services among the Micro Steel Enterprises is only a modification caused by the financial constraints that generate satisfactory levels in the respondents. However, based on the operational conditions of these enterprises is not the factor causing the satisfaction levels, neither are the banking processes. The advances in the course must be solely made based on the financial aspects of Micro Steel Enterprises. The two variables of the owner of these firms are the owner’s age and the firm’s ownership type. The banking aspect and the Micro Steel Enterprise are also found to have associations with them. To motivate the use of FinTech in the process, the owners can be motivated differently towards its usage. The study is a novel attempt to understand the Micro Steel Enterprises in Punjab and its perception towards the use of FinTech. Punjab is the hub of the Steel Industry in India.