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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. -
Enhancing Movie Genre Classification through Emotional Intensity Detection: An Improvised Machine Learning Approach
Movie Genre Classification through Emotion Intensity is a computer vision technique used to identify facial emotion through a sequential neural network model and to get the genre of the movie with it. This paper delves into latest advancements in Emotion Detection, particularly emphasizing neural network models and leveraging face image analysis algorithms for emotion recognition. Grenze Scientific Society, 2024. -
Deep learning approaches to understanding psychological impacts on vulnerable populations
This chapter investigates the psychological effects on vulnerable groups, with a particular emphasis on the relationship between deep learning techniques and the impact of climate. Vulnerable groups confront particular problems, which might lead to negative psychological results. Investigating this complexity is critical to designing effective intervention techniques. Using sophisticated deep learning techniques, this study seeks to find subtle patterns and correlations in a variety of datasets, including psychological markers, socioeconomic characteristics, and climatic variables. The work employs a comprehensive technique that includes deep learning models, feature extraction, and interpretability analysis to untangle complicated relationships. Preliminary findings imply that deep learning approaches might uncover previously unknown links between climate change and psychological effects on vulnerable groups. This insight adds to a more comprehensive understanding of the difficulties. This understanding contributes to a more holistic grasp of the challenges faced by these groups. By including climate-related factors into the deep learning framework, this study hopes to close the gap between environmental impacts and psychological 2024, IGI Global. All rights reserved. -
Leveraging Financial Data to Optimize Automation: An Industry 4.0 approach
Industry 4.0 is a transformative approach that leverages advanced technologies to enhance business efficiency and productivity. Automation is a crucial aspect of next-generation industry, and leveraging financial data is essential to optimizing the automation process. This chapter discusses the role of financial data in optimizing automation processes using an I-4.0 approach. Financial data is derived from various sources and can be collected through different methods, such as automated data collection, manual entry, or using sensors and Internet of Things (IoT) devices. The integration of these sources can pose challenges for businesses. The chapter outlines techniques for automation optimization, such as machine learning, predictive analytics, and business process reengineering. Optimizing automation using financial data offers various benefits for businesses, including cost savings, improved quality, and increased profitability. However, there are challenges that businesses face in leveraging financial data, including the integration of various data sources and formats and the need for skilled personnel to analyze and interpret the data. The successful implementation of automation and optimization of processes can lead to sustainable growth and enhanced operations, making it crucial for businesses to remain competitive in the I-4.0 era. By leveraging financial data to optimize automation processes, businesses can maximize their potential and drive growth. Overall, this chapter highlights the significance of financial data in automation optimization and provides insights into the benefits and challenges that businesses must consider when leveraging financial data for optimization. 2024 selection and editorial matter, Nidhi Sindhwani, Rohit Anand, A. Shaji George and Digvijay Pandey; individual chapters, the contributors. -
CRM Practices in Private Commercial Banks, Influencing Long Term Relationship and Customer Centric Holistic Approach
Purpose: The exigent purpose of the research is to find out whether socio-economic characteristics impress the study on CRM in private banks and to study CRM practices, factors sway long term relationship between customer and banks, and to know CRM as a customer central holistic approach. CRM gaining more attention as it is attracting and retaining the customers. CRM technology is used to organize, mechanized and integration of sales, marketing, support service and technical support (Robertshaw, 1999). There is a tremendous changes in market, innovation of technology, regional integration increasing competition and especially moderating customers. Approach: A well structure questionnaire was recommended for data collection in order to avoid delay, non-response and incompleteness. Respondents were met while they approached the bank. Either before or after their work respondents were appealed to provide the suitable consumer. A total of 220 questionnaires were in the hand and out of this 200 were usable and this forming 91% success rate. Findings: There is a significant variation in socio economic uniqueness except the demography account at different bank branches and all the factors shows high relationship sums account at different banks. The CRM practices ranked by respondents in the rank-wise are providing security of funds, providing greater value for money and transparency in banking services. Factors like customer satisfaction, well developed privacy policy and quick service are influencing better forever relationship between private sector banks and customers. The measurement of CRM a customer centric approach reveals that CRM protects data privacy, establishes and maintains strong relationship and CRM anticipates anticipates needs of customers. Further factors like data privacy, retention of existing customers and establish and maintain strong relationships are the impressing factors of customer centric approach. 2024, Collegium Basilea. All rights reserved. -
A Study on Critical Success Factors for Successful ERP Implementation at Indian SMEs
ERP (Enterprise Resource Planning ) comprises of a commercial software package that promises the seamless integration of all the information flowing through the company??financial, accounting, human resources, supply chain and customer information (Davenport, 1998). Much has been written on implementation of Enterprise Resource Planning (ERP) in organizations of various sizes. The literature is replete with many cases studies of both successful and unsuccessful ERP implementations. Research on the implementation of ERP in certain European countries shows that, the job of implementing an ERP is a riskier business for Small and medium-size enterprises (SMEs) than for Large Enterprises (LEs), still SMEs have been receiving lesser focus from the software vendors and consultants than LEs (Shanks et al.,2000). There have been very few empirical studies that attempt to delineate the critical success and failure factors that drive the success and failure of ERP implementation at Indian SMEs. Much of the time, ERP software vendors and consultants are the targets for blame when anticipated results do not materialize. Are the ERP vendors and consultants that sold the software the real culprits for the lack of business performance improvement? (Rao, 2000).The failure rates of ERP implementations have been publicized widely but, this has not distracted companies from investing large sums of money on ERP implementation. Many companies in developing countries have implemented ERP to capture its benefits still there is a lack of examining Critical Factors (CFs) that contribute in the success and failure of ERP implementation at Indian SMEs(Ranganathan and Kannabiran, 2004). In this dissertation, a framework has been adopted to cover both the national (Indian) and the organization size (SMEs) aspects to identify and rank the CFs that contribute in the success and failure of ERP implementation at Indian SMEs. Four models (ERP model, ERP Implementation Success Model, ERP Implementation Failure Model and ERP Gap (Strategic ERP) Model) were developed to explore and rank the thirty Critical Success Factors (CSFs) along with the twenty Critical Failure Factors (CFFs) that contribute in the success and failure of ERP implementation at Indian SMEs. Key Critical Success Factors (KCSFs) and Key Critical Failure Factors (KCFFs) were identified by ranking of these CSFs and CFFs according to their importance to decide their priorities during the ERP implementation at Indian SMEs. Quantitative survey based method was used to explore what are the possible critical success and failure factors that contribute in the success and failure of ERP implementation at India SMEs .Three close ended questionnaire were used to collect the data from the 500 Indian ERP consultants those who are having experience of ERP implementation in India for almost all types of Indian industries including Indian SMEs. Sample was drawn from ten national and international well known IT (ERP) sector companies which are involve in world wide ERP implementation including Indian SMEs. The Indian ERP consultants have been selected for the data collection using non probabilistic sampling method. The data collected were analyzed using statistical techniques such as descriptive statistics, reliability tests, validity tests, exploratory factor analysis and non parametric tests. In order to explore thirty CSFs and twenty CFFs along with the KCSFs and KCFFs, three close ended questionnaires were customized with the help of literature reviews and experts opinions. Later on it has been standardized for this research with the help of Cronbachs Alpha readability and validity test (Guilfords formula) supported by exploratory factor analysis. Based on the Indian ERP consultants perceptions, literature review, and secondary data review it was found that an ERP implementation at Indian SMEs is not exactly same from the ERP implementations found in the existing literature for the worldwide Large Enterprises (LEs). When discussing the CSFs and CFFs for an ERP implementation at Indian SMEs, it was found that although the factors are more or less same but the importance of factors in term of their priorities (importance) are defiantly different from the ERP implementation of the LEs. -
Hope, Belief in Just World and Trust in Government: An Interaction Amidst Covid-19 Pandemic in India
The outbreak of COVID 19 has brought about changes in all spheres of human life. In the present times of pandemic, human life has suffered not only from physical stresses but also encountered and endured several mental stresses. In recent times people adopted several measures to bring positivity to their life. The present study explores the relationship between- Hope, Belief in Just World, Covid ?19, and Trust in the Government in India, during the Covid-19 Pandemic. Data was collected online from young adults, via Google forms, using the tools- Adult Hope scale, Covid Anxiety scale, Belief in Just world scale, and Trust in Government. Results showed a significant correlation between the three variables. Hope, Belief in Just World, and Trust in government. Regression analysis found these three variables to significantly impact Covid anxiety. Further, Belief in Just World was found to mediate the relationship between Hope and Covid anxiety. During challenging times, it is important to boost mental health in the right direction. Implications have been further discussed in the article. The Author(s) 2023. -
Inclusion of Sexual Health Education for the Wellbeing and Dignity of Secondary School Children: An Indian Rural Perspective
The study investigates students perspectives on incorporating sexual health education into the curriculum of secondary schools in rural Bangalore. Focused on assessing how such education impacts students physical and psychological well-being, confidence, and ability to make informed decisions, the research collected data from 981 students across 6th to 10th grades. A structured questionnaire, measured on a five-point Likert scale, explored students perceptions of sexual health education and its outcomes. After a meticulous data cleaning process, which included outlier removal, the study utilized a final sample of 900 students. IBM SPSS 25 and AMOS 25 facilitated the statistical analysis. The findings underscore the significant positive effect of sexual health education on students confidence levels. It highlights how this form of education aids in maintaining personal hygiene and fosters balanced decision-making skills among students. The studys results advocate for the implementation of sexual health education in schools, emphasizing its role in enhancing student wellbeing and confidence. Additionally, it contributes to defining the scope and framework of a sexual health education curriculum from the students perspective in rural Bangalore schools, aligning educational objectives with the actual needs and perceptions of the student body. 2023 Indian Institute of Health Management Research. -
Customers response to online food delivery services during COVID-19 outbreak using binary logistic regression
This study aims to empirically measure the distinctive characteristics of customers who did and did not order food through Online Food Delivery services (OFDs) during the COVID-19 outbreak in India. Data are collected from 462 OFDs customers. Binary logistic regression is used to examine the respondents characteristics, such as age, patronage frequency before the lockdown, affective and instrumental beliefs, product involvement and the perceived threat, to examine the significant differences between the two categories of OFDs customers. The binary logistic regression concludes that respondents exhibiting high-perceived threat, less product involvement, less perceived benefit on OFDs and less frequency of online food orders are less likely to order food through OFDs. This study provides specific guidelines to create crisis management strategies. 2020 John Wiley & Sons Ltd -
Will Users Continue Using Banking Chatbots? The Moderating Role of Perceived Risk
AI-powered chatbots have become game-changers for the financial industry. They enable banks to boost customer engagement and improve operational efficiency by lowering the traditional cost of customer support. This study analyses the impact of perceived service quality dimensions on user confirmation, satisfaction and use continuance. The present study also analyses the moderating effect of perceived risk on the relationship between user confirmation, satisfaction and chatbots use continuance. A total of 447 customers, all residing in the Indian city of Bengaluru and having recently used banking chatbot services, were surveyed. Partial least squares structural equation modelling is used to examine the relationships between the variables used in the study. Findings from the study show that all five chatbot service quality dimensions (reliability, interactivity, assurance, responsiveness and understandability) significantly impact the users post-use confirmation, influencing their satisfaction and continuance behaviour. Perceived risk negatively moderates the relationship between user confirmation and user satisfaction. Chatbot service developers and e-service providers can leverage these findings to understand user expectations from chatbots. They will also be helpful to other service sectors, such as insurance, travel and tourism, hospitality and healthcare. 2023 Fortune Institute of International Business. -
Assessing perceptions of COVID-19 self-protective measures: a structural equation modeling (SEM) approach
Purpose: This study aimed to develop scales to assess perceptions of coronavirus disease 2019 (COVID-19) self-protective measures (SPMs) and examine the psychometric properties based on the theory of planned behavior (TPB). Design/methodology/approach: A total of 412 participants from Bangalore, India, randomly volunteered to participate in this research. The questionnaire consisted of items related to the TPB scales and demographic details. Findings: A structural equation model showed a reasonable model fit. In total, 70% of the individuals' behavioral intentions of following COVID-19 SPMs were predicted by perceived benefits, barriers, social norms and social influence. Participants' age impacted on perceived benefits and perceived social influence and individuals' behavioral intentions of following COVID-19 SPMs, with a 13.6% difference in model prediction. Originality/value: The TPB can be used as a strong psychometric property to assess behavioral determinants of COVID-19 SPMs. 2021, Sangeeta Mehrolia, Subburaj Alagarsamy and Jeevananda S. -
Moderating effects of academic involvement in web-based learning management system success: A multigroup analysis
While several educational institutions in India, in accordance to global practices, have adopted Web-Based Learning Management Systems (WLMS) to supplement classroom courses, it is largely seen that these WLMSs fail in their objectives, leading to little or no return on investments. The study aims to define the factors that affect students acceptance of a web-based learning management system and test the moderating effect of their academic involvement in the success of a WLMS. 477 valid questionnaires were collected from university/college students to empirically test the research model using the structural equation modelling approach. The results concludes that indirect and direct effects account for 49% of the variation in the intention to use, which is explained by technical system quality, information quality, educational quality, service quality of the technical support team and user satisfaction. High academic involvement moderates the impact of different service qualities of the WLMS on user satisfaction, intention to use the system, and success of the WLMS. Based on the findings, theoretical and managerial implications are discussed. 2021 -
Perceptual gap among corporate world, academics and students: Personal qualities and employability competencies of students
Personal qualities and employability competencies influence how an individual interacts with others. Employers value employability skills because they are linked to how employees get along with co-workers and customers, job performance, and career success of the employee. Hence personal qualities and employability competencies are considered as one of the essential components for an individuals career development. This study aims to understand the perceptual gap among the corporate world, business school academics and business school students. This study is quantitative in nature and primary data was collected through survey method. The primary data was collected from 377 Master of Business Administration (MBA) students, 276 Business School faculties and 98 managers representing 100 different companies in Bangalore, India. Three different questionnaires were prepared for three groups. All three sets of respondents were asked to rate their perception towards the requirement of personal qualities and skill/competencies required at the workplace in an entry-level job. The study highlights that there is a significant difference in the perception of students, business school faculty and managers towards listed personal qualities and competencies. These perceptual differences result in different types of costs to the company in terms of time, money and energy. The results will help the business schools to develop an innovative business curriculum that can fill the current industry needs. 2019, University of Malaya. All rights reserved. -
A road map on synthetic strategies and applications of biodegradable polymers /
Polymer Bulletin, Vol.79, ISSN No: 0170-0839 ( print) 1436-2449 (Online).
Biodegradable polymers have emerged as fascinating materials due to their non-toxicity, environmentally benign nature and good mechanical strength. The toxic effects of non-biodegradable plastics paved way for the development of sustainable and biodegradable polymers. The engineering of biodegradable polymers employing various strategies like radical ring opening polymerization, enzymatic ring opening polymerization, anionic ring opening polymerization, photo-initiated radical polymerization, chemoenzymatic method, enzymatic polymerization, ring opening polymerization and coordinative ring opening polymerization have been discussed in this review. -
Social cognitive rehabilitation for neurodegenerative disorders
In this chapter, an initial exploration of the definition and symptoms of neurodegenerative disorders will be conducted along with an in-depth analysis of their underlying neurobiological basis, shedding light on their manifestation in the brain. The central focus will then shift towards comprehending and addressing the specific social cognitive deficits associated with different types of NDs and examining the challenges posed in the realm of social cognition. Strategies and interventions specifically designed for social cognitive rehabilitation will be investigated. The chapter will encompass a discussion on the caregiver burden and effective coping strategies to alleviate the stresses faced. The primary objective of this chapter is to provide readers with a comprehensive understanding of the intricate nature of social cognitive deficits in neurodegenerative disorders and equip them with practical tools aimed at enhancing social cognition and improving the quality of life for individuals affected by these complex conditions. 2024, IGI Global. -
A road map on synthetic strategies and applications of biodegradable polymers
Biodegradable polymers have emerged as fascinating materials due to their non-toxicity, environmentally benign nature and good mechanical strength. The toxic effects of non-biodegradable plastics paved way for the development of sustainable and biodegradable polymers. The engineering of biodegradable polymers employing various strategies like radical ring opening polymerization, enzymatic ring opening polymerization, anionic ring opening polymerization, photo-initiated radical polymerization, chemoenzymatic method, enzymatic polymerization, ring opening polymerization and coordinative ring opening polymerization have been discussed in this review. The application of biodegradable polymeric nanoparticles in the biomedical field and cosmetic industry is considered to be an emerging field of interest. However, this review mainly highlights the applications of selected biodegradable polymers like polylactic acid, poly(?-caprolactone), polyethylene glycol, polyhydroxyalkanoates, poly(lactide-co-glycolide) and polytrimethyl carbonate in various fields like agriculture, biomedical, biosensing, food packaging, automobiles, wastewater treatment, textile and hygiene, cosmetics and electronic devices. 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. -
Critical review on arsenic: Its occurrence, contamination and remediation from water and soil
With the increasing pollution in todays world, importance is being given to solve a problem and do it in a sustainable, eco-friendly manner. Arsenic is a class-1 carcinogen and also causes many other side effects to humans, plants and animals. The utilization of arsenic as wood preservatives, pesticides, or its historical overuse by some military units for rice killing operations has led to the increase in the toxic effects of arsenic like its carcinogenicity, decreased immune response etc. Although conventional methods like coagulation, lime softening, adsorption, membrane technology are effective, they have their disadvantages like additional waste generation, causing increased pollution and are expensive. The better alternative is phytoremediation. Appropriate plants like Brassica juncea, Hydrilla verticilata, Pteris vittata L., Vallisneria natans, can be chosen based on the method of the remediation like phytoextraction, phytostabilization and phytofiltration or phytovoltalization. This review provides the list of a few plants which can be likely chosen for the purpose of both water and soil remediation. Advancements are occurring in bioremediation studies with the development of transgenic plants like transgenic tobacco, transgenic Arabidopsis thali-ana for better phytoremediation. Understanding the mechanism employed by the plant for its uptake/detoxification can aid in the enhancement of the process of remediation with the external supply of phosphorus. Along with this, the proper and safe disposal of plants is crucial for the remediation process. In addition, awareness of this solution to the general public is to be made for its effectiveness. : Author (s). Publishing rights @ ANSF. -
E-leadership, psychological contract and real-time performance management: Remotely working professionals
Using the model of E- Leadership in Virtual teams (Avolio et al.), this paper examines impact of Psychological Contract, mediated by E-leadership, on Real-time Performance Management of Remotely working professionals. Following a quantitative research method, data was collected from 57 remotely working professional across the world. Significant positive relationships were found among Leadership Effectiveness of E-leaders, Relational Psychological Contract and Efficiency of RPM. The results confirm the interaction of the given variables in Avolio's Model of E-leadership, highlighting technological aspects of human interactions and ways to optimise them. The results underline several important managerial implications for effective leadership, fulfilling psychological contract and effective performance management, of a type of workforce that is only virtually available. 2019 SCMS Group of Educational Institutions. All rights reserved. -
Individual effects of sinusoidal and non-sinusoidal gravity modulation on Rayleigh-Bard convection in a ferromagnetic liquid and in a nanoliquid with couple stress
The effects of sinusoidal (sine wave) and non-sinusoidal (square wave, triangular wave, and sawtooth wave) forms of gravity modulation on Rayleigh-Bard Convection (RBC) in a ferromagnetic liquid and a nanoliquid with couple stress is examined using linear and non-linear stability analyses. From the linear analysis, the stability of the system is investigated by calculating the correction Rayleigh number using the Venezian method. The heat transfer coefficient is obtained by solving the non-autonomous Lorenz equation. The influence of various non-dimensional parameters on the onset of convection and heat transfer is analyzed. It is observed that the couple stress parameter stabilizes the system and decreases the heat transfer. It is found that the square type of gravity modulation facilitates more heat transport compared to other types of gravity modulation. The ferromagnetic parameters are shown to have their known influence on the onset of convection and heat transport. The results of the single-phase ferromagnetic nanoliquid with couple stress are extracted from the results of the ferromagnetic liquid with couple stress. Advancement of onset due to nanoparticle presence and thereby enhanced heat transfer is discussed. The higher concentration of alumina is shown to be preferable to the rather expensive copper nanoparticles in obtaining the same quantity of heat transfer. 2021, The Author(s), under exclusive licence to EDP Sciences, SocietItaliana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature. -
Individual effects of four types of rotation modulation on RayleighBard convection in a ferromagnetic fluid with couple stress
The effect of trigonometric sine, square, triangular, and sawtooth wave types of rotation modulation on RayleighBard convection in a ferromagnetic fluid with couple stress is investigated in this paper using linear and nonlinear analyses. The expression for the critical Rayleigh number and the correction Rayleigh number is deduced from the three-mode linearized Lorenz model using the Venezian approach. The effect of rotation modulation on heat transport is studied using the generalized fifth-order Lorenz model. The study reveals that the Taylor number stabilizes the no-modulation system and decreases the heat transport, and this situation remains so in the presence of rotation modulation. It is found that the effect of all four types of modulation is to stabilize the system and diminish heat transport. It is also observed that the sawtooth wave type of modulation has the least diminishing effect on heat transport and the square wave type of modulation diminishes the most. 2021 Wiley Periodicals LLC