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Acceptance of consumer-oriented health information technologies (chits): Integrating technology acceptance model with perceived risk
This paper is focused on understanding the growing demand for consumer-oriented health information technologies (CHITs) wearable and adult healthcare management apps. This study utilised the Technology Acceptance Model (TAM) and integrated the concept of perceived risk. The structural Equation Modelling (SEM) technique was applied to test the research hypotheses based on the 450 quantitative responses. This study confirms significant relationships between perceived usefulness, perceived ease of use, perceived risk, attitude, behavioural intention, and actual intention in using CHITs. The findings also showed no evidence to conclude that age and education influenced respondents perceived usefulness and perceived ease of the CHITs. This study incorporated the perceived risk to fill a gap in the literature and broaden the current TAM theoretical application in the public health setting. The study findings fill the health-related technology acceptance literature gap and broaden TAM's present application in the public health realm. 2021 Slovene Society Informatika. All rights reserved. -
The visibility challenge: digital platforms giving a face to Indian small and medium enterprises
Small and medium-sized enterprises (SMEs) have an important role in the economy of any country and have even remarkable influence on the countries with developing economies. The current study sketches the importance of social media, integrated marketing communication (IMC), and social customer relationship management and their transformation in small and medium business front which results in increased interaction and communication with their customers. The research uses a mix-method approach to elaborate on how small and medium businesses can increase visibility and reachability by gaining value through the usage of social media. The aim of this research is to highlight the challenges faced by SMEs, examine the usage of different digital platforms by Indian SMEs to resolve these difficulties and determine its impact on the business for improved visibility of small and medium businesses when competition is hitting hard on all businesses. Copyright 2022 Inderscience Enterprises Ltd. -
Sustainable Interior Designing in the 21st Century - A Review
The concept of Sustainable interior designing has gained recognition in recent times. The study focuses on the history, growth and the future of sustainable interior designing. The main aim of the research was to review 102 select journal articles from various Sustainability, Interior designing and combined fields from 2001 all through to 2020, to provide an apprehension on the frequency, study methods, data collection and analysis procedures of the reviewed articles; Alongside providing the readers with an insight on the functionality, aesthetic appeal, client satisfaction and benefits to both environment and the clients. The study also sheds light on the important concepts of Biomimicry, Biophilia and Natural Luxury. The Electrochemical Society -
Artificial Intelligence and Internet of Things readiness: Inclination for hotels to support a sustainable environment
The idea of Smart Cities has been one of the key driving factors for the urban transformation to a low carbon climate, sustainable economy and mobility in recent years because of the alarming situation of global warming. One of the industries with swift growth is hotel sector and hence is one of the key contributors to carbon emission and leaves environment footprints. The new emerging concept of sustainable tourism is envisaged as an important part of the Smart Cities paradigm. Improving sustainability by saving energy is becoming a primary task toady for many hotels. A great opportunity is provided by Artificial Intelligence (AI) and Internet of Things (IoT) to assimilate different systems on a platform by encouraging and assisting hotel guests to operate through single device and optimizing hotel operations. Current research focuses to identify the strategic positions of a hotel in terms of sustainability, AI and IoT technology. Components that will be considered by Hotels for the strategic intention of adopting AI and IoT for environmental sustainability. Different development and modification needed to be taken if management wants high sustainability readiness and/or IoT readiness. This conceptual paper constructs on the comprehensive study and systematic review of different area where the hotels can feasibly implement AI and IoT for improving sustainably. 2021 Elsevier Inc. All rights reserved. -
AI in e-learning
This current research chapter focuses on the different areas of e-learning where AI can be implemented to make e-learning a better experience. E-learning is a 24/7 platform where learners can gain knowledge at the convenience of their home and timeframe. AI can help such learners with different adaptive technologies in clarifying the doubt, identifying the problem area of the learner and providing them a customized learning solution. Adaptive learning suggested that the learning pace is different for different learners. It must be made sure that the educational supplies and amenities provided must fit the requirement of each learner; else, it will lose its essence. There are different AI features to enhance the learning experience of e-learning. The providers must keep this in mind that the acquired information about learners must be wisely used while implementing the AI technology to e-learning mode so that the blended model can provide an enriching experience to the end-user. Cognitive learning can be a key to constructive, collaborative and contextualized execution of AI-enabled learning processes. Maximization of AI effectiveness as a tool of e-learning can be brought only when it is implemented to overall program pedagogy and is monitored for continuous improvement. The Institution of Engineering and Technology 2021. -
Do fine dine restaurants satisfy customer needs?Diners perception of functional aspects of quality, value and satisfaction
Objectives: Guest satisfaction has emerged as a potentially important factor in restaurant performance and function. The objective of this paper is to examine the current state of guest satisfaction and factors affecting them in fine dining restaurant through a review of the literature. The review focuses on six determinants and their effect on guest satisfaction. Design: A systematic review of lighting, Type of music, food quality, food quantity, food plating and foodservice about guest satisfaction was performed. Review methods: The literature was derived from the published research articles. The selection criteria for the review included the studies that were; written in English, related to guest satisfaction in the hospitality sector, employee performance in the hospitality sector. Results: The literature review identified five distinct lines of research that have focused on guest satisfaction in fine dining restaurants. Total 52 guest satisfaction based articles referenced in this paper, a sample of 30 studies reported on the examination of antecedents of satisfaction among guests. Key findings suggest that all the five factors that are; lighting, Type of music, food quality, food quantity food plating, and foodservice significantly impact on guest satisfaction. Conclusions: The study of Factors affecting guest satisfaction in a fine dining restaurant helps in the restaurant to build an image in the minds of their guests and creates awareness for Guests on how fine dining functions. Future research is required to provide restaurants a better understanding of their guests for their satisfaction. 2019 SERSC. -
Augmented Reality: New Future of Social Media Influencer Marketing
The advent of social media as a marketing tool has transformed how businesses connect and share information about their brands with their consumers. Amplified consumer engagement has created novel relationships between consumers and companies. Peoples reliance on seeking information from other online users and reviews has increased, and this is where social media influencers play an important role in shaping consumers opinions. Augmented reality will revolutionize the influencer marketing environment due to its ability to engage consumers. This research involved an online survey with questions established on a 7-point Likert scale. Later, exploratory factor analysis was used to summarize data better to understand associations between dependent and independent variables. Later principal component analysis was espoused for the extraction process. Varimax rotation congregated 39 items into various factors. The Kaiser-Meyer-Olkin (KMO) test was administered to justify the adequacy of the sample. The findings suggest that augmented reality moderates user engagement and is the future of influencer marketing. 2023 MDI. -
Augmented Reality-Enabled Instagram Game Filters: Key to Engaging Customers
The gamification concept is rapidly grabbing attention of different sectors in the current competitive business ecosystem. Companies are amalgamating game elements to enrich customer enhancement. However, empirical studies incorporating Augmented Reality (AR) elements in the same are lacking. Therefore, main objective of this research is to inspect elements of AR, impacting the customer brand engagement in game filters of Instagram. Drawing on S-D Logic the authors aim to explore the impact of gameful experience on creating customer engagement. The capability of Customer Brand Engagement (CBE) to influence Brand Satisfaction (BS) and Brand loyalty (BL) is also explored in the study. Convenient sampling method was adopted to gather 458 responses from Gen Z in India. Responses were gathered using self-administered questionnaire. Findings of the study expand CBE literature to a new technology and refines knowledge of relationship between AR and preexisting CBE dimensions (affective, cognitive and activation), leading to BS and BL. This study has some implications for managerial decision making in creating resilient and long-term relations with customers. 2021 Taylor & Francis Group, LLC. -
Happiness and resilience among young physically disadvantaged employees in India: A pilot study
Purpose: The study aimed to examine and compare the happiness and resilience of disadvantaged employees and non-disadvantaged employees. Method: The study sample included 37 young employees, between 20 and 30 years of age. Among them, 17 were with physical disadvantages of one type or the other, and 20 had no physical disadvantages. Results: Mann-Whitney U test showed that there is no difference in resilience and happiness between disadvantaged and non-disadvantaged employees. Among the non-disadvantaged employees, there is a relationship between happiness and resilience. However, among the disadvantaged employees, this relationship is not there. Conclusions: Disadvantaged employees in the present sample do not differ from the non-disadvantaged in their happiness and resilience. However, it cannot be assumed that happiness is a contributing factor to the resilience of the disadvantaged employees. Also, it is not possible to generalize the results of the study due to the small sample size. 2019, Action for Disability Regional Rehabilitation Centre. All rights reserved. -
Computational Model for Hybrid Job Scheduling in Grid Computing
Grid computing the job scheduling is the major issue that needs to be addressed prior to the development of a grid system or architecture. Scheduling is the users job to apropos resources in the grid environment. Grid computing has got a very wide domain in its application and thus induces various research opportunities that are generally spread over many areas of distributed computing and computer science. The cardinal point of scheduling is being attaining apex attainable performance and to satisfy the application requirements with computing resources at exposure. This paper posits techniques of using different scheduling techniques for increasing the efficacy of the grid system. This hybrid scheduler could enable the grid system to reduce the execution time. This paper also proposes an architecture which could be implemented ensuring the optimal results in the grid environment. This adaptive scheduler would possibly combine the pros of two scheduling strategies to produce a hybrid scheduling strategy which could cater the ever changing workload encountered by the gird system. The main objective of the proposed system is to reduce to overall job execution time and processor utilization time. 2020, Springer Nature Switzerland AG. -
Gastronomic delights for community growth: unravelling the impact of sustainable tourism in Sikkim, India
Community development (CD) and sustainable gastronomy tourism development (SGTD) are mutually beneficial. Therefore, this study calls for a thorough investigation and interpretation of the phenomenon. In the context of Sikkim, India, this study examines the effects of SGTD on CD. The research question of whether sustainable gastronomy tourism (SGT) influences CD is addressed through a narrative analysis. The stories of ten local food vendors are gathered and examined using the categorical-content approach. However, the narratives indicate that local food vendors do believe that SGTD can act as a catalyst for local development, and that using traditional food as an alternative source of income can offer them a number of benefits. Other facets of gastronomic tourism are identified in the stories that may have unfavourable effects. Several ways to promote SGTD are suggested. The paper concludes that, to endorse gastronomic tourism (GT), local community involvement and strict policies are crucial. Copyright 2024 Inderscience Enterprises Ltd. -
A Novel Two-Step Bayesian Hyperparameter Optimization Strategy for DoS Attack Detection in IoT
Variations of Hyperparameter in Machine Learning (ML) algorithm effectively strikes the model's performance in terms of accuracy, loss, F1 score and many others. In the current study a two-step hyperparameter optimization approach is represented to analyse selected ML models' performance in detecting specific Denial of Service attacks in IoT. These attacks are Synchronization Flooding Attack at Transport layer, DIS Flooding attack and Sinkhole attack at Network layer. The two-step approach is a combination of Manual Hyperparameter tuning followed by Bayesian Optimization technique. The first stage manually analyses the hyperparameters of ML algorithms by considering the nature of the attack datasets. This technique is quite rigorous as it demands thorough analysis of the dependencies of the nature of datasets with hyperparameter types. At the same time this process is time consuming. The output of the first stage is the ranges of independent hyperparameter values that give maximum accuracy (minimum error rate). In the next stage Bayesian Hyperparameter tuning is used to specifically derive the single set of all hyperparameters values that give optimized accuracy faster than the BO. The input to the second stage is the ranges of individual hyperparameters that gave maximum accuracy in the first stage. The efficiency of the approach is depicted by comparative analysis of training time between the proposed and existing BO. NetSim simulator is used for generating attack datasets and Python packages are used for executing the two-step approach. 2024 IEEE. -
An augmented artificial bee colony algorithm for data aggregation in wireless sensor networks
As wireless sensor networks comprise of a vast number of resource constrained tiny sensor nodes which are designed to operate for a long period of time, it is inevitable to efficiently utilize the available resources. Even though energy harvesting approaches exist, energy efficiency in these networks remains the primary concern. Innovative data collection methods help in the optimal utilization of the confined resources like energy, memory and processing capabilities. Majority of the energy is consumed for data transmission in contrast to sensing and processing. Adopting self-organizing system intelligence of the nature for modern advancements is effective and efficient. This paper provides a gist of the existing bio-inspired routing algorithms and describes a new energy efficient data collection strategy with mobile sinks in wireless sensor networks. IAEME Publication. -
Neurodiversity at the Workplace: The new paradigm of talent acquisition and retention
The importance of neurodiversity in the workplace has gained popularity in recent years. Companies can access a pool of distinctive skills and viewpoints that can stimulate innovation, creativity, and productivity by embracing neurodiversity in the workplace. This chapter examines the idea of neurodiversity in relation to hiring and retaining talent, emphasizing the advantages for both companies and workers. It covers methods for establishing welcoming environments at work that support neurodiverse workers and help them reach their full potential. It also looks at how corporate culture, HR regulations, and leadership all contribute to creating a welcoming workplace for individuals who are neurodiverse. Companies can promote diversity, equity, and inclusion at the workplace in addition to attracting and retaining neurodiverse employees (NDEs). A conceptual framework has been proposed to demonstrate the influence of various factors like awareness, perceived benefits, accommodation, organizational policy, stigma, and unconscious bias on retention of NDEs. 2024, IGI Global. -
Role of AI in Enhancing Customer Experience in Online Shopping
AI-powered tools and applications may provide customers with a positive, effective, and customized purchasing experience. By studying client preferences and behaviours, AI systems can anticipate future customer needs, improving and personalizing the shopping experience. The main aim of this study is to examine the role of artificial intelligence (AI) on enhancing customer experience. The results of this study revealed that there is a positive significant relationship between AI features like perceived convenience, personalization and AI-enabled service quality and Customer experience. A total of 416 responses were analysed using a structured questionnaire. The findings indicate significant role of trust as factor, mediating the effects of independent variables on customer experience. Data was analysed using T-test, ANOVA and regression. 2024 IEEE. -
Consumer Characteristics and Consumption Patterns of Soft Drinks
A soft drink is generally treated as very common product aimed at a very casual consumption. Normally, not much of attention is paid to this product, which has almost become 'commoditized'. But, a deeper and more careful observation would reveal that soft drinks are strong demographic descriptors of their consumers. Key insights into the characteristics and consumption patterns of consumers can be obtained through an incisive study of the soft drinks market. This research paper makes a concerted effort at unearthing the demographic details and consumption contours of the soft drink users in Kanpur, Agra, Varanasi, Allahabad, and Lucknow - the five representative cities of Uttar Pradesh, the most populous state of India. It has been conclusively established through this research that the residents of these five cities - which are demographically similar in nature - exhibit varying consumption patterns when it comes to soft drinks. It was also found that demographic variables like age, gender, educational qualification, income, and marital status do not significantly impact the consumption of soft drinks, whereas employment status is a key influencer of the same. 2021 IEEE. -
Time Efficient Hash Key Generation for Blockchain Enabled Framework
Blockchain, in general, helps organizations to improve the transparency and governance by removing its shortfalls and building better control overall. Blockchain network, public or private, is a competent technology when used in order with an optimized hashing technique. In a blockchain network, one of the common issues is performance while registering any transactions. Blockchain must need to do some preliminary checks to avoid double-spending before registering the transaction. Here, we implement one of the optimization aspects of the hashing technique, which can contribute to the blockchain mining processes and save time. It enables the blockchain to perform efficiently and reliably. In addition, we examine how well different hashing algorithms perform when added to the blockchain network's processes. In this research, we analyze several hashing techniques that are employed in the blockchain and are also applied in the supply chain domain due to their efficacy in mitigating past attacks. Our proposed hashing technique allows a blockchain network to improve security and its overall processes. The proposed hashing technique achieves approx. 10-90% performance gain improvements over other existing technique. Our proposed hashing technique allows a blockchain network to improve security and its overall processes. The study also examines how the supply chain management contributes in increasing of overall lead time where process optimization or technological enhancement plays key roles in minimizing the time of some or all the processes. Lead time is one of the common issues of supply chain which impacts on overall order delivery time. We address on how the conjunction of blockchain with optimized hashing technique can address supply chain lead time issues. 2013 IEEE. -
A Brief Review on the Role of Blockchain in Supply Chain Management
Blockchain is a proficient technology when used in combination with other intelligent technologies which gives an opportunity to an organization to rethink about improvement of their supply chain internal and external processes. It helps in improvement of transparency and provenance by removing shortfalls and building a better organizational control overall. However, blockchain faces numerous challenges, e.g., transaction speed, decentralization, scalability, interoperability, and lack of standardization that could affect its adoption across organizations. However, a greater number of research are required to overcome the governance, standardization, and technological challenges involved within. Concisely, blockchain in supply chain is still in initial phase, many improvements are needed for better adaptation of blockchain using Machine Learning, Neural Network algorithms to make optimized computation decision of blockchain framework. In this paper, we studied and discussed about blockchain and its type, consensus mechanism, blockchain in supply chain, key issues of blockchain and supply chain and intelligence in blockchain. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Unveiling the pattern of PhishingAttacks using the Machine Learning approach
This study introduces a unique approach to strengthening cybersecurity by combining advanced models for real-time detection of phishing websites. A classifier is trained to discern patterns associated with legitimate and phishing URLs, leveraging a carefully organized labeled dataset. The model in this paper forms the foundation for a real-time detection system, providing users with real-time information on potential phishing threats. Integrating an adaptive decision-making algorithm improves decision-making adaptability, particularly in scenarios challenging the model's confidence. A user feedback loop ensures the continuous learning and refinement of the system, aligning it more closely with user expectations. The future scope of this research involves exploring advanced models, improving explainability, and incorporating dynamic features for enhanced detection. Adaptive policies, large-scale deployment, and ethical implications are pivotal for real-world applicability. In conclusion, this study contributes to advancing phishing detection methodologies and lays the groundwork for future innovations in cybersecurity. The collaborative efforts of academia, industry, and cybersecurity stakeholders arenecessaryfor realizing the full potential of this paper and ensuring a safer online platform for users. 2024 IEEE. -
Future Trends in Social Sustainability in Manufacturing Supply Chains
The future approach to social sustainability in the manufacturing supply chains is determined by various factors such as changes in consumer trends, changes in laws and regulations and advancement in technology. Consumers will make sure that the social or environmental costs that come with products are mitigated and thus the organizations will be forced to embrace transparency and accountability in their operations. As the trend of more responsible and eco- friendly consumerism filters down, any manufacturer worth its salt will work to guarantee fair labor, wages and working conditions within their supply chains. At the same time, there will be expectations for the introduction of more strict social sustainability norms. Increased demand for supply chain disclosure policies, especially regarding labor and sourcing standards, will be developed by state and non- state actors towards manufacturers. This will lead to increased responsibility and adherence among sectors and more eco-friendly business practices across the world. 2025, IGI Global Scientific Publishing.