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How Are We Surviving the Pandemic, COVID-19?: Perspectives from Hospitality Industry Workers in Australia
The COVID-19 pandemic has been disastrous and has affected the hospitality industry worldwide, and the people working in the sector were impacted immensely. The purpose of this study is to understand the viewpoints of hospitality workers in Australia on how lockdowns have impacted professional and personal well-being. The case study methodology is adopted for this study. Viewpoints from Australian hospitality workers were collected through semi-structured interviews. With the pandemic taking surprising turns with the rise of new infections and in turn new pandemic waves, the industry is facing a constant lurking fear of lockdowns. Changing variants of COVID-19 creates a profound effect on the psychological and personal well-being of the people employed in the hospitality sector. This chapter would reflect upon the viewpoints of hospitality workers in Australia after two years of the COVID-19 crisis. A real-time assessment is required to understand the vulnerability of hospitality industry workers in a developed country. 2023 Priyakrushna Mohanty, Anukrati Sharma, James Kennell and Azizul Hassan. -
How blockchain enables financial transactions in the banking sector
Blockchain technology is the most important technological revolution of the second decade of the 21st century. The banking sector is one of the major sectors where blockchain has played a significant role in recording and processing various financial transactions, inter-bank transfers, and digital format agreements through a distributed ledger system. It harms the transactional costs, which influence the financial markets. The global financial system being the most popular sector is prone to many errors and frauds. Blockchain technology can help prevent these problems by enabling a decentralised network that permits all parties to review. The present study attempted to analyse the problems in existing banking financial transactions, understand the importance of transparency and study the usage of blockchain in the banking sector. It suggests a research model for solving financial transaction problems by applying blockchain technology. The study uplifts the security and transparency of blockchain technology throughout the paper. Copyright 2022 Inderscience Enterprises Ltd. -
How Can Small and Medium Enterprises Effectively Implement Corporate Social Responsibility?: An Indian Perspective
The current study is a strategic approach to corporate social responsibility (CSR); the aim is to put forward the factors of CSR activities that enhance its effectiveness for small and medium enterprises (SMEs). To achieve this objective, the factors were extracted from the literature and described along with trusteeship theory of Mahatma Gandhi, and an exploratory study was conducted and data were collected using structured questionnaire based on pretested scale from 158 SMEs and tested using partial least square regression (PLSR). The statistics shows the overall model fit, and the findings indicate a significant relationship with effective CSR. The results of the study are in accordance with the previous research work, and we also find that environment-related CSR and partnership are crucial for the effectiveness of CSR in SMEs, stakeholders role are important and SMEs CSR practice is still informal. The variables identified from study will help SMEs in establishing a formal approach towards CSR and meeting the needs of business and society in the twenty-first century. 2019 International Management Institute, New Delhi. -
How close are you to your end consumer? Data-driven insights to awesome customer experience
The delivery of a tailored customer experience is being widely recognised by executives in the technology industry as the key to unlocking revenue, minimising attrition, and providing growth. It is not simple to satisfy a consumer in today's market. Delivering reliable and efficient experiences across channels is more challenging than it has ever been because of the context of disparate privacy regulations, quick updates to browser technology, and an ever-evolving technological landscape. This research suggests that to do it right, the business needs to have the right people, processes, and technologies working in sync. This study highlights that many companies continue to invest in instruments and technology solutions before they have effectively accomplished the organisational transformation required to perform the role in a data-driven mode. Investments do not always yield the promised results since the basic pieces of mindset, vision, and people are not always in congruence. Consumers are no longer going to be 'just satisfied,' or 'even happy.' 2023, IGI Global. All rights reserved. -
How does anticipatory trauma reaction and climate-friendly behaviour make an affect at the individual level? The role of social norms and self-efficacy
Climate change is unavoidable and requires serious consideration at both the organizational and individual levels. Climate change mitigation, reduction in greenhouse gas emissions globally and climate financing for developing countries and so forth are key issues and challenges toward environmental sustainability. This paper aims to develop a framework for climate-friendly behaviour (CFB) for environmental sustainability from an individual perspective. The present study recognizes the role of social norms and self-efficacy in developing positive behaviour toward environmental sustainability. On the proposed integrated CFB framework of value-belief-norms (VBN) and self-efficacy theory, this study is a unique conceptual-empirical scholarly development, examining individual-level contemplation toward climate-supportive policy measures. This research evaluates the relationship between anticipatory trauma reaction (ATR) and CFB in the presence of perceived social efficacy (PSE) and perceived social norms (PSN) as moderators and mediators. We have used the survey method to examine a sample of 238 respondents and assess the structural equation modelling analysis and PLS predictions using SmartPLS software. The findings indicate that climate change-related anxiety-driven ATR facilitates CFB among individuals. Next, the study adds value to VBN theory as the results also suggest that PSN improve ATR's positive impact on CFB. This work further expands the horizon of self-efficacy theory by arguing that PSE transmits the positive effect of ATR on CFB. The study delivers many worthy theoretical and practical contributions toward climate change policies and environmental sustainability implications. 2023 ERP Environment and John Wiley & Sons Ltd. -
How does geopolitical risk affect CO2 emissions? The role of natural resource rents
In a panel dataset of 38 developing and industrialized countries from 1970 to 2021, this study investigates how geopolitical risk and resource rents affect CO2 emissions. After implementing diagnostics, the paper observes significant relationships among CO2 emissions, geopolitical risk, natural resource rents, per capita income, and share of renewable energy in the long run. The panel data estimations show that geopolitical risk, natural resource rents, and per capita income increase CO2 emissions. However, the share of renewable energy is negatively associated with it. The mediation effect of geopolitical risk and natural resource rents on CO2 emissions is also positive. Potential policy repercussions are also discussed. 2023 Elsevier Ltd -
How Does Perceived Risk and Trust Affect Mobile Banking Adoption? Empirical Evidence from India
The emergence of high-speed internet (5G) services and the demonetization of the Indian currency by the Government of India in the year 2016 served as catalysts for the growth of banking services, such as internet/mobile banking. The main objective of the study was to investigate the role of perceived financial cost, perceived risk, and trust in the adoption of mobile banking services by users. The study extends the Unified Theory of Acceptance and Use of Technology (UTAUT) to explain the adoption of mobile banking services by young Indian customers. The data from 253 users of age between 1830 years were collected through a survey questionnaire and were analyzed using structural equation modeling with Amos 22.0. The results revealed that performance expectancy, effort expectancy, social influence, and perceived financial cost exhibited a significant positive influence on behavioral intentions. However, the facilitating conditions were found to exert no effect on actual use. In addition, the results demonstrate that both perceived risk and perceived trust moderate the relationship between behavioral intention and the actual use of mobile banking. The results of the study provide some novel insights into how perceived risk and perceived trust shape the interplay between behavioral intention and the actual use of mobile banking services. The inferences drawn from the study may enhance the understanding of the transformation of behavioral intention into the adoption and actual use of mobile banking services. 2023 by the authors. -
How efficient are public sector banks in India? A non-parametric approach
This study examines the efficiency of Public Sector Banks (PSBs) in India using Data Envelopment Analysis (DEA). Analysis is carried out on a sample of 19 PSBs that are existed during the study period from 2005 to 2018. There are two different aspects deliberated, namely technical efficiency of PSBs and the growth in their productivity. Input variables envisaged for the study are deposits, borrowings, fixed assets, and the number of employees. Loans and advances along with investments act as output variables to measure technical efficiency and productivity. The results indicate that the technical efficiency of PSBs ranges between 97% and 100%. Corporation Bank, Indian Bank, and Oriental Bank of Commerce outperformed their peers with 100% technical efficiency. Productivity growth among the sampled banks during the study period stood between 0.8% and 20%. However, Corporation Bank, Indian Bank, and Oriental Bank of Commerce registered 9.1%, 5.4% and 6.4% productivity growth, respectively. The results reveal that PSBs are working hard to optimize resource utilization. Researchers around the world can use DEA as a tool to measure the efficiency of banks with different input and output variables related to financial, marketing and managerial performance. Sangeetha R., 2020. -
How Green Consumption Value Affects Green Consumer Behaviour: The Mediating Role of Consumer Attitudes Towards Sustainable Food Logistics Practices
The aim of the study is to identify the green consumption values and production patterns and understand how they impact consumer behaviour and purchase intention of green consumers, in particular, the environment-conscious youth in the city of Bangalore. The focus of the study is on the pre-purchase sustainable logistics of food products and how they impact behaviour and attitudes of green consumers. The theory of planned behaviour and social cognitive theory form the theoretical base for the current research. An online survey was conducted among 284 participants in and around the scope area. Confirmatory factor analysis and structural equation modelling were used to test the hypotheses. The results showed that green consumption values and consumer attitudes towards sustainable food logistics either directly or indirectly influence green purchase intention and environmentally conscious behaviour towards food products. The main contribution of this study is the identification of new multidimensional constructs which can be used to measure green consumer attitude in terms of sustainable food logistics practices in the Indian context. These findings will empower managers and future researchers to understand how sustainable food logistics practices can create green consumer attitudes. They will also assist food production companies to identify possible opportunities, developments and other benefits they can derive from following sustainable food logistics practices. 2021 Management Development Institute. -
How much can we trust high-resolution spectroscopic stellar chemical abundances?
To study stellar populations, it is common to combine chemical abundances from different spectroscopic surveys/studies where different setups were used. These inhomogeneities can lead us to inaccurate scientific conclusions. In this work, we studied one aspect of the problem: When deriving chemical abundances from high-resolution stellar spectra, what differences originate from the use of different radiative transfer codes? 2016 Proceedings of the 12th Scientific Meeting of the Spanish Astronomical Society - Highlights of Spanish Astrophysics IX, SEA 2016. All rights reserved. -
How Offensive is offensive? A Closer Look at Controversial Advertisements
We live in a world inundated with messages that seek to promote products varied and eclectic in their feel and purpose. Capitalism has rooted itself in many societies; corporate enterprises enthusiastically advertise their products around the world. Over the years we have had countless advertisements bombard us through our TV sets, newspapers, billboards and now through our smartphones. While attention-grabbing, these advertisements are unfortunately often considered questionable. Rising competition among advertisers for consumer attention has led to the production of advertisements that are increasingly risquand frequently downright offensive. There have been growing concerns about the increasingly low standards of advertisements. Be it excessive sexual content, discrimination on grounds of gender, or propagating regressive philosophies, advertisements seek attention for the wrong reasons. While some advertisements were once downright discriminative towards the female population, things seem to have gradually gotten better over the past few years. However, that is not to say that stereotyping and sexism have been wholly eradicated from advertising; these issues are still prevalent today. Though some consumers watch advertisements through a critical lense and critique unethical advertisements, many offensive and discriminative advertisements have still become widely known and popular among viewers. The present paper seeks to explore the idea of offensiveness in advertisements through an analysis of advertising content on the basis of gender discrimination and stereotypical portrayals of gender. Further, a focused group discussion adds audience perspective to the issue as well. Straddled by Uses and Gratification Theory, Social Responsibility Theory, and Self-Construal Theory, this study attempts to explore the concept of the offensiveness of controversial advertisements and to determine the reasons why an advertisement is deemed offensive. It is never too late to question How Offensive is offensive? 2021 Journal of International Womens Studies. -
How safe is the information in this digital era? –A critical review of the status quo /
Journal of Management Research And Analysis, Vol.5, Issue 1, pp.5-9, ISSN No: 2394-2770. -
How to win back the disgruntled consumer? The omni-channel way
In a conventional wisdom, it was believed that in traditional consumer journey, consumer will engage in an extended consideration and evaluation before entering into the loyalty loop. But with the emergence of online and offline advocacy the modern consumers may skip various traditional phases and may directly enter into loyalty loop. Being well informed and empowered modern-day consumer would wait hardly few seconds before he shifts loyalty to the rival brands. Hence, the retailers and marketers need to deal with well informed and empowered consumers who are disloyal to the core. Therefore, this paper proposes the adoption of Omni-channel marketing as a strategy to deal with disloyal customers. This study is both analytical and theoretical in nature and is based on the secondary data as well as extensive review of literature on the subject. The findings of the study recommend that the adoption of Omni-channel marketing will reduce the loyalty depressing factors and increases the loyalty supporting factors amongst the consumers by creating seamless experience throughout their consumer journey. Therefore, this paper proposes the adoption of Omni channel marketing to retailers, brands and marketers to deal with well informed, empowered and disloyal consumers and to convert them into loyal consumers. 2018, Academy of Business and Retail Management Research. -
How to win back the disgruntled consumer? The omni-channel way /
Journal of Business And Retail Management Research, Vol.12, Issue 4, pp.200-207, ISSN No. 2056-6271. -
How well the log periodic power law works in an emerging stock market?
A growing body of research work on Log Periodic Power Law (LPPL) tries to predict market bubbles and crashes. Mostly, the fitment parameters remain con?ned within certain specific ranges. This paper examines these claims and the robustness of the reformulated LPPL model of Filimonov & Sornette (2013) for capturing large falls in the S&P BSE Sensex, an Indian heavyweight index over the period 20002019. Thirty-five mid to large-sized crashes are identified during this period, forming a clear LPPL signature. This confirms the possibility to predict the embedded risk of future uncertain events in the Indian stock market with the LPPL approach. 2020 Informa UK Limited, trading as Taylor & Francis Group. -
HQA Bot: Hybrid AI Recommender Based Question Answering Chatbot
The COVID pandemic has presented a number of challenges for education, particularly when it comes to reaching and engaging students. As a result, online education has become increasingly important, and artificial intelligence (AI) has played a crucial role in supporting this shift. The proposed tutor assistance question-answering system uses AI to automatically generate responses to student questions. This system includes a feedback mechanism, known as a satisfaction index that measures the efficiency of the generated responses and suggest relevant follow-up questions. The proposed Hybrid Recommender-based Dijkstras algorithm (HRD) improves the system's accuracy. This algorithm uses a combination of techniques to group relevant questions based on context, which improves the accuracy of identifying the next relevant question. In our customized dataset, this approach achieved an accuracy of 96% and an average accuracy of 82% across benchmarked datasets. With this system, we aim to bridge the gap between students and education by providing a more engaging and personalized learning experience. 2023, Ismail Saritas. All rights reserved. -
HR Analytics in an Era of Rapid Automation
Human Resources (HR) departments often have significant data sets related to employees and positions within their organizations, but optimizing use of this data can present challenges. As the business world rapidly transforms due to technological advancements, experts within the HR domain must learn to effectively use data to improve workforce performance and assist with strategic decisions. A comprehensive understanding of HR analytics and its multiple levels, ranging from descriptive to perspective, can emphasize how the data can support, track, and monitor employee performance, culture, turnover rate, and absenteeism. HR Analytics in an Era of Rapid Automation is a valuable guide for academics, researchers, and practitioners interested in the latest developments in HR analytics. It covers relevant theories and conceptual models based on quantitative and qualitative findings and emphasizes the importance of utilizing HR analytics for sustainable decision making. With a focus on recruitment analytics, talent acquisition, employee performance analytics, and more, this book provides practical solutions to the challenges facing HR professionals in the rapidly changing business world. By highlighting the value of people and HR analytics for business success, this book offers several solutions for the analysis of challenges facing HR professionals today. 2023 by IGI Global. All rights reserved. -
HR analytics in employee engagement and turnover
HR Analytics has expanded increasingly in the last two decades. Nowadays, several Companies use the supremacy of analytics, in gaining a competitive edge over others by recognizing all essentials of the employees. Organizations aim to optimize employee-performance, and hence are making use of HR analytics to drive strategic HR decisions. This study examines the advent of HR analytics by in measuring and improving employee engagement and turnover. Employee engagement analytics stands for exercising the use of data in decision-making process by integrating employee engagement with other HR and non-HR data. Employee engagement analytics is a subsection of workforce-analytics. It has become the standard contemporary system in advanced employee administration and retention. Employee engagement analytics benefits all stakeholders within the organization. 2023, IGI Global. All rights reserved. -
HR Analytics: An Indispensable Tool for Effective Talent Management
Business organizations have changed tremendously in the way they visualize the human capital of the organization and make all efforts to create a workforce that is productively engaged and is ready to embrace the challenges posed by uncertainty and turbulence in the business environment. This calls for a decision-making approach that is based on observed people behaviours rather than relying on intuition and gut feel. These observed behaviours are reactions or consequences to stimuli and therefore the science of Human Resource Management can be better understood as predicting these dependent variables based on a set of independent variables. This chapter attempts to present a complete framework of HR analytics in terms of concept, need and how it can add immense value to effective talent management in the organizations. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
HTLML: Hybrid AI Based Model for Detection of Alzheimers Disease
Alzheimers disease (AD) is a degenerative condition of the brain that affects the memory and reasoning abilities of patients. Memory is steadily wiped out by this condition, which gradually affects the brains ability to think, recall, and form intentions. In order to properly identify this disease, a variety of manual imaging modalities including CT, MRI, PET, etc. are being used. These methods, however, are time-consuming and troublesome in the context of early diagnostics. This is why deep learning models have been devised that are less time-intensive, require less high-tech hardware or human interaction, continue to improve in performance, and are useful for the prediction of AD, which can also be verified by experimental results obtained by doctors in medical institutions or health care facilities. In this paper, we propose a hybrid-based AI-based model that includes the combination of both transfer learning (TL) and permutation-based machine learning (ML) voting classifier in terms of two basic phases. In the first phase of implementation, it comprises two TL-based models: namely, DenseNet-121 and Densenet-201 for features extraction, whereas in the second phase of implementation, it carries out three different ML classifiers like SVM, Nae base and XGBoost for classification purposes. The final classifier outcomes are evaluated by means of permutations of the voting mechanism. The proposed model achieved accuracy of 91.75%, specificity of 96.5%, and an F1-score of 90.25. The dataset used for training was obtained from Kaggle and contains 6200 photos, including 896 images classified as mildly demented, 64 images classified as moderately demented, 3200 images classified as non-demented, and 1966 images classified as extremely mildly demented. The results show that the suggested model outperforms current state-of-the-art models. These models could be used to generate therapeutically viable methods for detecting AD in MRI images based on these results for clinical prospective. 2022 by the authors.