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AI Sovereignty in Autonomous Driving: Exploring Needs and Possibilities for Overcoming Challenges
With the development of artificial intelligence, advancements in navigation systems for self-driving cars have become a new direction over the last decade. The inclusion of AI-driven actuators in autonomous vehicles has broken the barriers in terms of real-time high-quality data processing resources, accuracy of decisive actions and generalization of environment-action pairs. Upgradation from a car with no automation to a car with minimal to no human intervention has become a boon of AI, as it resolves most of the transportation problems on roads, including human error, lack of visibility in adverse weather conditions, tiredness of drivers in long journeys, etc. This study focuses on AI-enabled tasks, including object detection and identification, lane detection, notification for lane departure and reinforcement learning from the operational environment. However, there exist serious issues in deploying AI-empowered modules in autonomous cars, as the consumer rights to explain, trustworthiness, and reliability of the machine have not yet met the requirements. Our work explores the needs and prospects of AI sovereignty in autonomous driving by overcoming the aforementioned issues so that the healthy progress of technological society can take care of the future world. 2023 IEEE. -
Improving service quality and customer engagement with marketing intelligence
To succeed, businesses must keep up with the ever-changing technological landscape and constantly introduce new advancements. The rise of digitalization has wholly transformed how companies interact with their customers, presenting both opportunities and challenges. Marketing professionals are inundated with data and need guidance on leveraging it effectively to craft successful marketing strategies. Additionally, the ethical and privacy concerns surrounding the collection and use of customer data make the marketing landscape even more complex. Improving Service Quality and Customer Engagement With Marketing Intelligence is a groundbreaking book that offers a comprehensive solution to these challenges. This book is a must-read for marketing professionals, business owners, and students, providing a practical guide to navigating the digital age. It explores the impact of digitalization on marketing practices. It offers insights into customer behavior, equipping readers with the knowledge and skills needed to thrive in today's competitive market. The book's interdisciplinary approach integrates insights from marketing, technology, data science, and ethics, giving readers a holistic understanding of marketing intelligence. With its timely and practical approach, Improving Service Quality and Customer Engagement With Marketing Intelligence is a valuable resource for anyone seeking to enhance their marketing efforts in the digital age. It features best practices, case studies, and step-by-step guides, empowering readers to make informed decisions prioritizing customer satisfaction and engagement. Reading this book will help you stay ahead of the curve and drive success in today's dynamic marketing landscape by bridging the gap between academia and industry. 2024 by IGI Global. All rights reserved. -
Future of customer engagement through marketing intelligence
In the competitive world of contemporary business, the challenge of developing marketing strategies that bridge the gap between traditional and innovative techniques has become more critical than ever. As marketing shifts between physical and digital realms, companies grapple with the central question of how to navigate this evolution successfully. The key lies in data - the linchpin that can unravel vital problems in modern marketing. The need for sustainable and effective marketing strategies permeates all sectors, emphasizing the urgency for businesses to combine traditional methods with innovative approaches, such as harnessing alternative data and leveraging AI-based solutions. Future of Customer Engagement Through Marketing Intelligence emerges as a compelling solution to the pressing challenges faced by businesses in this transformative landscape. It offers a step-by-step roadmap, guiding readers on how market intelligence can utilize data and transform it into actionable insights. By emphasizing the crucial role of data in crafting great marketing strategies, the book advocates for a deep understanding of market-supported content and factual data. It asserts that marketing intelligence, encompassing data collection, analysis, and strategic utilization, is the key to becoming customer-centric, understanding market demands, and gaining a competitive advantage. Designed with a comprehensive and practical approach, the book's objectives align with addressing the emerging trends and challenges in customer engagement driven by marketing intelligence. It caters to a diverse audience, including marketing professionals, data analysts, business leaders, academics, researchers, consultants, technology developers, and policymakers. By delving into various topics, from AI-driven customer experiences to the application of advanced technologies like text mining and blockchain, the book serves as a valuable resource for navigating the evolving landscape of customer engagement and marketing intelligence. Ultimately, it stands as a beacon, illuminating the path toward sustainable and responsible customer engagement strategies in the ever-evolving world of marketing. 2024 by IGI Global. All rights reserved. -
AI Based Technologies for Digital and Banking Fraud During Covid-19
The only viral thing today is the Covid 19 virus, which has severely disrupted all the economic activity around globe because of which all the businesses are experiencing irrespective of its domain or country of origin. One such major paradigm shift is contactless business, which has increased digital transaction. This in turn has given hackers and fraudsters a lot of space to perform digital scams line phishing, spurious links, malware downloads etc. These frauds have become undesirable part of increased digital transactions, which needs immediate attention and eradication from the system with instant results. In this pandemic situation where, social distancing is key to restrict the spread of the virus, digital payments are the safest and most appropriate payment method, and it needs to be safe and secure for both the parties. Artificial intelligence can be a saviour in this situation, which can help combat the digital frauds. The present study will focus on the different kinds of frauds which customers and facing, and most possible ways Artificial intelligence can be incorporated to identify and eliminate such kind of frauds to make digital payments more secure. Findings of the study suggest that inclusion of AI did bring a change in the business environment. AI used for entertainment has become an essential part in business. Transfiguration from process to platform focused business. The primary requirement of AI is to study the customer experience and how to give a better response for improving the satisfaction. But recently AIs are used not only for customer support, but its been observed that businesses have taken it as marketing strategy to increase demand and sales. 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Energy-efficient smart cities with green internet of things
With governments of different countries having a vision of smart cities, the technology adoption and implementation are at its peak and the current increase in the usage of advanced technology for a smart city has led to an increase in the carbon imprint across the globe, which needs immediate attention for the environment sustainability. Although the Internet of things (IoT)-enabled devices have changed our world by bringing an ease to our lifestyle, it has to be kept under consideration that they also have adverse effects on the environment. Over the past few years, enabling energy conservation via Internet of Things in the growth of smart cities has received a great deal of attention from researchers and industry experts and has paved the way for an emerging field called the green IoT. There are different dimensions of IoT, in which an effective energy consumption is needed to encourage a sustainable environment. This conceptual paper focuses on the key concept of green IoT and sustainability, knowledge of Smart cities' readiness to Green IoT (G-IoT)-enabled sustainable practices, and identifying the Green IoT sustainability practices for smart cities. The Author(s), under exclusive license to Springer Nature Switzerland AG 2021. All rights reserved. -
Factors Affecting Digital Visibility of Small and Medium Enterprises in India
This study sketches the importance of social media, integrated marketing communication, social customer relationship management and its transformation in the small and medium enterprises (SME). These factors can increase interaction and communication of SMEs with its customers. This study incorporates empirical method to elaborate how SMEs can increase visibility and reachability by gaining value through the usage of social media. Findings of the study highlight the challenges faced by SMEs with respect to visibility, examines the usage of different digital platforms by Indian SMEs which can resolve these difficulties and its impact on the business for improved visibility of SMEs when competition is hitting hard on all businesses. 2021 Management Development Institute. -
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.