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Impact of video product presentation and scarcity claim on mobile-based impulse buying
The introduction of mobile shopping apps has resulted in the growth of impulse buying or excessive compulsion, especially in the fashion industry. This paper aims to establish a relationship between app stimuli (including performance expectancy, effort expectancy, atmosphere, layout, and privacy and security) and impulse buying behaviour. Besides this, it also examines the moderating effects of the video product presentation and product scarcity claim and the mediating effects of impulse buying intention and user satisfaction. The study was carried out in two phases. In the first phase, a paired t-test analysis was carried out to compare the mean of each set. This was followed by multi-group structural equation modelling to check the models validity. The results show that while video product presentation produced a significant difference between impulse buying intention and impulse buying behaviour for both the male and female respondents, scarcity claims achieved positive results only for male participants. The SEM results, meanwhile, demonstrated that both the mediating variables bear a relationship to performance expectancy, privacy and security, and impulse buying behaviour. However, effort expectancy was only related to impulse buying intention, while atmosphere and layout were exclusively associated with user satisfaction. Based on the findings of the study, theoretical and managerial implications are presented. 2023 Korean Scholars of Marketing Science. -
Convergence of retail banking interest rates to households in euro area: time-varying measurement and determinants
This study measures time-varying progress of retail banking (to households) interest rates convergence and examines its determinants for twelve countries of the euro area, between 2003 and 2014. First, we measure convergence of interest rates using five different time-varying indicators, namely asymmetric dynamic conditional correlation (ADCC), beta convergence, sigma convergence, variance ratio, and dynamic cointegration. We then estimate panel regressions for each type of interest rate to identify the determinants of convergence over pre-crisis and crisis periods. The estimated ADCC is employed as the dependent variable and explanatory variables measure potential macroeconomic, external linkages, industry-specific, institutional and sociological determinants. The results reveal that convergence is weak and heterogeneous across sub-periods (pre-crisis and crisis), economic groups (core and periphery), product type (savings and credit) and products maturities (short, medium and long). Among the fundamental determinants, inflation, output correlation, and sociological factors strongly impact convergence, however, the explanatory power of determinants weakens during the crisis period. 2019, Springer-Verlag GmbH Germany, part of Springer Nature. -
Asymmetric dynamic conditional copula correlation and fundamental determinants of interest rate comovement
We study time-varying interest rate comovement and its determinants for the retail banking sector in the euro area over pre-crisis and during crisis, between 2003 and 2018. The analysis is conducted for 11 euro area countries, each classified as either core or periphery. Copula Asymmetric DCC-GARCH is estimated for each country-pair to measure the dynamic interest rate correlations for deposits and loans to households. We then examine the determinants by regressing quarterly correlations on macroeconomic and cross-border linkages, banking, and sociological variables. We also assess the impact of the two crises and of policy initiatives, including negative interest rate, Single Supervisory Mechanism, and Single Regulatory Mechanism. Different panel regressions reveal limited, although varied, influence of determinants on correlations across different products, maturities, and country groups. We conclude that the intrinsic features of the retail banking industry, such as customers' trust, information asymmetry, and political influence, hinder strong interest rate convergence in the euro area. 2019-Center for Economic Integration, Sejong Institution, Sejong University, All Rights Reserved. -
Exploring the Plausibility of Pre-Purchase Decision Process in User Acceptance of Smart Wearable Technology Devices
The market for smart wearable technology products is growing rapidly. Although wearable technology is still in its early stages, a longer-term outlook is required. This study inspected the existence of consumers pre-purchase stage for smart wearable technology devices. It further analyzed the factors that influenced customers decisions in the pre-purchase phase. The methodology adopted was quantitative, using which 240 users of smart wearables were given a structured questionnaire to fill up. The Smart PLS 3.0 software was used for structural equation modeling and path analysis. The results indicated that customers go through a pre-purchase decision journey. Their decisions are influenced by individual characteristics, product description, information source utility, data usefulness, trust, visibility of the product, and demonstrability. Together, these factors resulted in the customers successful transition from the pre-purchase stage to the purchase decision stage. 2022, Associated Management Consultants Pvt. Ltd.. All rights reserved. -
AI Diagnosis: Rise of AI-Powered Assessments in Modern Education Systems
The literature on the limitations on the current archaic education system is limitless, the consequences of which have only been exacerbated in the current lockdown scenario. The timed evaluations have not only failed as an assessment tool during these times but research has shown there are increased rates of using unfair means and proctoring as a result. Not only was the system faulty to begin with, it is failing miserably under current lockdown situations. Simultaneously the current literature keeps positing that since technology has become an integral part of our life already, it would not be long before technology integrates with education and assessments. Taking into consideration the need and potential of an integrative system, this paper aims to explore how artificial intelligence can be effectively introduced into education and improve learning outcomes. The paper performs a Comprehensive Literature Review (CLR), and analyses data based on the framework developed by Onwuegbuzie and Frels (2015). The paper thus reviews literature with the aim to explore current models of AIEd and relevant psychological concepts relating to learning and career outcomes. The evidence is consistence with the rationale for research problem: current AI methodologies in education focus only on delivering learning material, using AI as a means, instead of taking into other factors improving learning and education outcomes. The subsequent literature review on the factors influencing learning outcomes establish that there are two main thematic influences on students learning and behavioral outcomes: inside-school and out of school factors, which have been further implored in context of technological advancements. 2021. Transnational Press London. All Rights Reserved. -
A study of factors affecting consumer behavioural intentions towards adoption of gamification
Advanced technology with a high degree of accessibility of the Internet across countries has led to the emergence of e-commerce and m-commerce. The global brands and the start-ups are equally attracted to this change in the way the goods and services can be marketed, making market access through the Internet a core part of the strategy for marketers. The same has led to various digital promotional techniques for customer engagement. Among various digital promotional techniques, gamification is one technique where customers are expected to play online games to win the reward points for getting discounts for their purchases. An attempt was made to identify various factors influencing the consumer behavioural intentions towards adoption of gamification as one of the means to get products at discounted prices. In this study, factor analysis was used to find the major factors that influence the consumer behavioural intentions to adopt gamification as one of the digital promotional techniques. The study found eight major factors that influence the adoption of gamification, they are Personal Perspective, Usefulness, Easy to Use, Price Consciousness, Perceived Critical Mass, Flow Experience, Awareness, and Personal Innovativeness. This study brought in a different perspective by exploring the role of possible factors influencing gamification adoption in the Indian market, helping marketers, the major factors, and their influence on the consumer's behavioural intentions of adoption of gamification as one of the digital promotion techniques. -
After-sale service experiences and customer satisfaction: An empirical study from the Indian automobile industry
For the growth of any industry, services play an essential role. Customers are more aware of the type of services they receive, and the expectations from the service providers are very high. Twenty-two percent total Gross Domestic Product (GDP) of the country is generated through the automotive industry. Global automotive majors have entered India and have dramatically changed the country's car production scenario. Changes to international technology design and adaptation have helped Indian car manufacturing compete globally, facing worldwide challenges. Considering services' high significance and essential role in the automobile industry, this study examined customer satisfaction with after-sales service experiences in the automobile sectorthis paper analyses customer satisfaction concerning automotive service interactions. The conceptual framework explains the impact on customer satisfaction in various car industries from various experiences, including employee behaviour, service lead time, service quality, service processes, and service costs. The respondents from Bangalore were selected. The data collection sampling approach used was convenience sampling. In a standardized questionnaire, data is collected from 400 respondents. The results demonstrate the substantial influence of service interactions on customer satisfaction. 2022 Elsevier Ltd -
Sustainable after sale services: The effect of perceived value on customers behavioural intention
There is an increasing beleive that the biggest show stopper in any industry will no longer be technology or capital, but the environment (Sheth & Sinha, 2015). It evidently defines the main problem of our world today, and the concern, regarding our future generations. Ensuring that our action today do not limit the range of economic, social, and environmental options to future generation, the fundamental principle of sustainability has emerged (Trevena, Kaldor & Downs, 2014).In light of the same concern, Recently, sustainability management has developed in the service industry. Green/sustainable after sale services in customer durables have been progressively joining the service industry. Customersupport determinesthe sustainable development of the consumer durable industry for their services. This paper aims to explore relationships among perceived values viz. hedonic and utilitarian values, and behaviour intentions of the customer. A total of 360valid questionnaires were collected, and regression method was used to measure and test the research hypotheses. Thestudy presents empirical evidence of impact of hedonic and utilitarian values on customersbehavioural intentions. Finally, theoretical and practical implications are discussed and suggestions for future research are provided. 2019 SERSC. -
Software development with UML modelling and software testing techniques
This chapter focuses on software development principles and discusses each principle thoroughly with diagrammatic representation. It also includes the definition of UML (unified modeling language) modelling with an explanation regarding how UML modelling takes place and a detailed example. It also focuses on software testing methods, with each method definition and diagrams well explained. A simple case study situation is taken to discuss the example of UML model. This chapter's main objective is to focus on all key points of software development testing and model design techniques precisely. 2023, IGI Global. All rights reserved. -
Indias roadmap of convergence to international financial reporting standards (IFRS)
[No abstract available] -
The Roadmap Implementation for Smart Cities via High Level Communication Technology
This paper explores the integration of smart city technologies to enhance urban living standards and optimize city services. Leveraging modern 6 g technologies such as the Internet of Things (IoT), fog computing, robotics, and predictive analytics, smart cities aim to improve efficiency across various sectors including healthcare, transportation energy, and education. Through real-time monitoring enabled by Wireless Sensor Networks (WSNs), IoT devices, and unmanned aerial vehicles (UAVs), smart cities can efficiently manage resources and infrastructure. In this paper proposes an architectural design to improve urban security using 6G technology and present an extensively light weighted secured mechanism for easing intricacy in medium channel. This study validate and test arithmetical framework with respect to extensively light weighted secured mechanism. The instant study explores the background of defined urban security framework focusing on Internet of Things technology and its application in urban development. This study also introduces a lightweight edge fogging algorithm to optimize general computer network topologies. The proposed framework is thoroughly analyzed and evaluated through computational analysis, simulation, and comparison with existing models. The results show that the proposed framework with 6 G technology and lightweight security model shows better performance, less service downtime, and higher connectivity with current models. 2024 IEEE. -
Synthesis and catalytic applications of metal boride ceramics
Metal borides belong to the class of high-temperature ceramics and have conventionally been used for high-temperature applications. However, in the past few decades, new variants of metal borides have emerged, with high catalytic capabilities. Owing to their tuneable structural, compositional, and morphological properties, metal borides have huge potential for industrially relevant catalytic applications. This chapter compiles the existing knowledge on the ever-expanding family of metal borides. Various synthesis strategies that are commonly adopted for the fabrication of metal borides, both in crystalline and amorphous/nanocrystalline forms, are discussed in detail. The chapter also aims to explain the origin of catalysis in metal borides. Some of the most prominent catalytic applications of metal borides are vividly discussed in this chapter. At the end of this chapter, a brief outlook is provided for future research initiatives with metal borides. 2023 Elsevier Ltd. All rights reserved. -
A review of cobalt-based catalysts for sustainable energy and environmental applications
In a bid to tackle the degrading climate conditions, the new age research in catalysis is predominantly focused on sustainable technologies associated with renewable energy conversion and environment purification. One of the primary motivations for the research in catalysis is the use of low-cost, earth-abundant materials that can fulfill the scale-up needs of respective technologies. Cobalt (Co) based catalysts have been an indispensable part of almost all areas of catalysis and they are often looked at as low-cost substitutes for precious metal-based catalysts. In the context of energy and environmental applications, Co-based catalysts are more commonly used for reactions such as hydrogen evolution reaction (HER), oxygen evolution reaction (OER), hydrolysis of chemical hydrides, CO2 reduction reaction (CO2RR) and advanced oxidation processes (AOPs). Co-based catalysts are interesting compounds as Co plays a diverse role in facilitating different reactions. This review provides a brief account of the significance of Co-based catalysts and elaborates their advancement in each of the above-mentioned applications and presents future research directions with the use of Co-based catalysts. An in-depth analysis to gain a deeper understanding of the Co-based systems is highly desired to promote breakthroughs in catalysis. 2023 The Authors -
Artificial Intelligence in Healthcare Supply Chain Management: A Bibliometric Analysis: Subtitle as needed (AI in Healthcare Supply Chain)
The presented paper discussed the review of Healthcare Supply Chain Management (HSCM) using Artificial Intelligence (AI). The implementation of artificial intelligence (AI) in HSCM has numerous benefits, including accurate demand forecasting of medical supplies, cost reduction, increased transparency, visibility, data-driven decision-making, enhanced supply chain resilience, streamlined healthcare operations, optimized transportation, and many more. Our approach to using AI in HSCM involved a thorough examination of the literature and bibliometric analysis. Research was started by exploring the Scopus database using suitable keywords. After the inclusion and exclusion criteria have been applied, the relevant papers were gone through full-text readings. Using Vos-viewer, the research papers were further analyzed for bibliometric analysis. 2024 IEEE. -
Decision making framework for foreign direct investment: Analytic hierarchy process and weighted aggregated sum product assessment integrated approach
Foreign direct investment (FDI) plays a paramount role in economic and social growth of every country. FDI acts as a source of external capital and helps in economic growth of the host country. Making decision for FDI during uncertain business environment is a challenge for all stakeholders. Therefore, in this study, we are proposing a decision making framework for FDI. Through literature review, we have identified the factors, on which FDI depends. A process-based, multi-criterion, integrated hierarchical approach for deciding about FDI, has been illustrated. In this study, five sectors are considered, that is, petroleum and natural resource, retailing and e-commerce, healthcare, information technology, and road and highways for illustrating the proposed framework. It is observed that information technology sector has got top priority for FDI followed by retailing and e-commerce and health care sector. Findings will help in taking appropriate decision by stakeholders for FDI. Ultimately it will also help in creating employment, economic growth, and welfare of society at large in the host country. 2021 John Wiley & Sons, Ltd. -
Search for brown dwarfs in IC 1396 with Subaru HSC: interpreting the impact of environmental factors on substellar population
Young stellar clusters are predominantly the hub of star formation and hence, ideal to perform comprehensive studies over the least explored substellar regime. Various unanswered questions like the mass distribution in brown dwarf regime and the effect of diverse cluster environment on brown dwarf formation efficiency still plague the scientific community. The nearby young cluster, IC 1396 with its feedback-driven environment, is ideal to conduct such study. In this paper, we adopt a multiwavelength approach, using deep Subaru HSC along with other data sets and machine learning techniques to identify the cluster members complete down to ? 0.03 M? in the central 22 arcmin area of IC 1396. We identify 458 cluster members including 62 brown dwarfs which are used to determine mass distribution in the region. We obtain a star-to-brown dwarf ratio of ? 6 for a stellar mass range 0.03-1 M? in the studied cluster. The brown dwarf fraction is observed to increase across the cluster as radial distance from the central OB-stars increases. This study also compiles 15 young stellar clusters to check the variation of star-to-brown dwarf ratio relative to stellar density and ultraviolet (UV) flux ranging within 4-2500 stars pc?2 and 0.7-7.3 G0, respectively. The brown dwarf fraction is observed to increase with stellar density but the results about the influence of incident UV flux are inconclusive within this range. This is the deepest study of IC 1396 as of yet and it will pave the way to understand various aspects of brown dwarfs using spectroscopic observations in future. 2024 The Author(s). -
Subaru Hyper Suprime-Cam Survey of Cygnus OB2 Complex - I. Introduction, photometry, and source catalogue
Low-mass star formation inside massive clusters is crucial to understand the effect of cluster environment on processes like circumstellar disc evolution, planet, and brown dwarf formation. The young massive association of Cygnus OB2, with a strong feedback from massive stars, is an ideal target to study the effect of extreme environmental conditions on its extensive low-mass population. We aim to perform deep multiwavelength studies to understand the role of stellar feedback on the IMF, brown dwarf fraction and circumstellar disc properties in the region. We introduce here, the deepest and widest optical photometry of 1. diameter region centred at Cygnus OB2 in r2, i2, z, and Y-filters, using Subaru Hyper Suprime-Cam (HSC). This work presents the data reduction, source catalogue generation, data quality checks, and preliminary results about the pre-main sequence sources. We obtain 713 529 sources in total, with detection down to ?28, 27, 25.5, and 24.5 mag in r2, i2, z, and Y-band, respectively, which is ?3 - 5 mag deeper than the existing Pan-STARRS and GTC/OSIRIS photometry. We confirm the presence of a distinct pre-main sequence branch by statistical field subtraction of the central 18 arcmin region. We find the median age of the region as ?5 2 Myr with an average disc fraction of ?9 per cent. At this age, combined with A $ 6 - 8 mag, we detect sources down to a mass range of ?0.01-0.17 M. The deep HSC catalogue will serve as the groundwork for further studies on this prominent active young cluster. 2021 The Author(s). -
Psychological health among armed forces doctors during COVID-19 pandemic in India
Background: A pandemic poses a significant challenge to the healthcare staff and infrastructure. We studied the prevalence of anxiety and depressive symptoms among armed forces doctors in India during the COVID-19 pandemic and the factors that contribute to these symptoms. Methods: The study was conducted from March 30, 2020, to April 2, 2020, using a self-administered questionnaire questionnaire using the hospital anxiety and depression scale (HADS), which was sent through Google Forms. Responses were received from 769 respondents. Data were analyzed for demographic details and HADS scores using the chi-square test and backward logistic regression. Results: Anxiety and depressive symptoms were seen in 35.2% and 28.2% of the doctors, respectively. In doctors with anxiety symptoms, significant associations were observed with age (2035 years, 39.4%, P = 0.01), gender (females, 44.6%, P < 0.001), duration of service (010 years, 38%, P = 0.03), and clinical versus non-clinical specialties (non-clinical, 41.3%, P < 0.001) as opposed to marital status, education level, and current department of work. In doctors with depressive symptoms, significant associations were observed with age (P = 0.04), clinical versus non-clinical specialties (P < 0.001), duration of service (010 years, 30.1%, P = 0.03), and doctoral degree (P = 0.04) as opposed to gender, marital status, education level, and current working department. Conclusion: The study revealed a high prevalence of anxiety and depressive symptoms among armed forces doctors. The main contributing factors are female gender, young age group, non-clinical specialties, and having a doctoral degree. Copyright 2020 Indian Psychiatric Society - South Zonal Branch. -
The mediating role of positive perceptions on coping strategies and psychological well-being among mothers of children with intellectual disabilities
Purpose: Research on caregiving has been considering the positive effects experienced by the mothers of children with disabilities. This paper aims to examine whether positive perceptions mediate the relationships between coping strategies used and psychological well-being among mothers of children with intellectual disabilities. Design/methodology/approach: The study opted for a quantitative approach that includes a correlation research design to examine the relationships between the variables of coping, positive perceptions and well-being among mothers of children with intellectual disabilities attending special schools in the metropolitan city Bengaluru, India. The four-factor structure of Brief COPE examined were active avoidance coping, problem-focussed coping, positive coping and religious-denial coping. Positive perceptions refer to the positive contributions for the mother from the experiences of raising a child with intellectual disability. Mediation analysis explored the relationship between the variables. Findings: Problem-focussed coping was the most commonly reported coping factor and was associated with higher levels of well-being. Active-avoidance coping was the least commonly reported coping strategy. Positive perceptions partially mediated the relationship between the four coping factors and maternal well-being. These findings indicate that positive maternal perceptions have important implications for the employment of effective coping strategies that are associated with enhancement of psychological well-being. Originality/value: The focus on positive perceptions would help in understanding the use of coping strategies and planning of support services or interventions. The positive mental health of mothers paves the way for positive developments in the childs physical and psychological health. 2020, Emerald Publishing Limited. -
Limaco?n Inspired Particle Swarm Optimization forLarge-Scale Optimization Problem
Large-scale optimization problems are a complex problem in the class of NP-Hard. These problems are not solvable by traditional methods in a reasonable time. Single machine total weighted tardiness scheduling problem (SMTWTSP) is a complex problem in this category. It has a set of different events with varying criteria that need to be scheduled on one machine. The main aim of this problem is to find the minimum possible total weighted tardiness. Particle swarm optimization (PSO) algorithm has performed admirably in the field of optimization. To solve complex optimization problems, several new variants of this algorithm are being developed since its inception. This work proposed an influential local search (LS) technique inspired by limaco?n curve. The new local search is hybridized with PSO and named Limaco?n inspired PSO (LimPSO) algorithm. The efficiency and accuracy of the designed LimPSO strategy are tested over the large-scale SMTWTS problem, which shows that LimPSO can be considered an effective method for solving the combinatorial optimization problems. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.