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The paper coordinated by Prof. Dr. Bogdan Cristian Onete is a topical subject in the context of the present informational era. It suggests a distinct approach regarding social media and the peer-to-peer platforms from the perspective of the quality of services and collaborative consumption. The research of the paper includes a quantitative research regarding the implications of peer-to-peer platforms concerning the consumer, and a qualitative research with regards to social media and its degree of influence on the quality of services. This research presents many interesting findings regarding the consumer perception of quality of services in the context of the sharing economy. These findings are valuable for all parties working in the domain of the sharing economy or collaborative consumption.
This book examines issues and implications of digital and social media marketing for emerging markets. These markets necessitate substantial adaptations of developed theories and approaches employed in the Western world. The book investigates problems specific to emerging markets, while identifying new theoretical constructs and practical applications of digital marketing. It addresses topics such as electronic word of mouth (eWOM), demographic differences in digital marketing, mobile marketing, search engine advertising, among others. A radical increase in both temporal and geographical reach is empowering consumers to exert influence on brands, products, and services. Information and Communication Technologies (ICTs) and digital media are having a significant impact on the way people communicate and fulfil their socio-economic, emotional and material needs. These technologies are also being harnessed by businesses for various purposes including distribution and selling of goods, retailing of consumer services, customer relationship management, and influencing consumer behaviour by employing digital marketing practices. This book considers this, as it examines the practice and research related to digital and social media marketing.
This book is about turning data into smart decisions, knowledge into wisdom and business into business intelligence and insight. It explores diverse paradigms, methodologies, models, tools and techniques of the emerging knowledge domain of digitalized business analytics applications. The book covers almost every crucial aspect of applied artificial intelligence in business, smart mobile and digital services in business administration, marketing, accounting, logistics, finance and IT management. This book aids researchers, practitioners and decisions makers to gain enough knowledge and insight on how to effectively leverage data into competitive intelligence.
This book gathers the proceedings of the 14th International Conference on Management Science and Engineering Management (ICMSEM 2020). Held at the Academy of Studies of Moldova from July 30 to August 2, 2020, the conference provided a platform for researchers and practitioners in the field to share their ideas and experiences. Covering a wide range of topics, including hot management issues in engineering science, the book presents novel ideas and the latest research advances in the area of management science and engineering management. It includes both theoretical and practical studies of management science applied in computing methodology, highlighting advanced management concepts, and computing technologies for decision-making problems involving large, uncertain and unstructured data. The book also describes the changes and challenges relating to decision-making procedures at the dawn of the big data era, and discusses new technologies for analysis, capture, search, sharing, storage, transfer and visualization, as well as advances in the integration of optimization, statistics and data mining. Given its scope, it will appeal to a wide readership, particularly those looking for new ideas and research directions.
A brand is a valuable asset, and loyalty to a particular brand is the source of revenue and profitability of the business. Brand loyalty is significant for the business growth and expansion of companies in the electronics sector. A populated country, Bangladesh has a substantial expenditure on electronic appliances, and the demand for these household items increases over the period; however, customers are not always loyal to a particular brand. Marketing literature shows that customer satisfaction and brand confidence directly affect brand loyalty, and brand trust mediates their relationship. Due to the technological advance of social media, technology has an essential role in the customer's decision to buy household appliances. The existing literature has not focused on this massive demand for electronic appliances, customer satisfaction, loyalty, trust, and social media's significant role in consumer buying behavior. The book shoed the investigation of the effect of customer satisfaction and brand trust of electronic home appliances on brand loyalty and the mediating role of brand trust in customer satisfaction and trust relationship. The study also examined the extent to which customers believe social media information influences them. The study gathered data from 523 Bangladeshi respondents from Dhaka by conducting a survey. The data were analyzed with SPSS and CB-SEM (AMOS) for the hypothesis test. The findings revealed that customer satisfaction and brand trust significantly impact brand loyalty, and social media moderates those significant relationships. The result of the study contributed to the expectancy-disconfirmation theory, trust-commitment theory, brand loyalty theory, and theory of reasoned action by presenting empirically-based insight into customer satisfaction, brand trust, and brand loyalty constructs in electronic home appliances in Bangladesh. In addition, the results provided a practical insight into marketing and brand management. They suggested the practicing managers in developing product quality with customer preference, building trust through maintaining brand image and creating awareness among the customers, and considering the significance of social media and its usage. The research used probabilistic sampling techniques, both rural and urban customers, only a single home appliance, and PLS-SEM statistical tool for analysis. Future researchers could focus and include other variables such as price or advertising; consider loyalty separately, and use both urban and rural customers to have better predictions.
This book constitutes the revised selected papers of the Third International Conference on Innovations in Digital Economy, SPBU IDE 2021, held in St. Petersburg, Russia, in October 2021. The 23 papers presented were thoroughly reviewed and selected for publication from 153 submissions. The papers are organized according the following topical sections: economic efficiency and social consequences of digital innovations implementation; regional innovation systems and clusters as drivers of the economic growth during the Fourth Industrial Revolution; industrial, service and agricultural digitalization; response of an educational system and labor market to the digital-driven changes in the economic system; digital transformation trends in the government and financial sector.
In the past two decades, research on electronic commerce and platforms has thrived. Tremendous academic research has been conducted on this specific concept. Over the last decade, with the rise of applications and mobile technology, that stream of research has extended to the collaborative economy, more colloquially known as the sharing economy. The commonality between e-commerce and collaborative consumption being that they both occur online and rely predominantly on platforms. The Handbook of Research on the Platform Economy and the Evolution of E-Commerce is a comprehensive reference book offering a holistic perspective of the platform economy by connecting the e-commerce and collaborative economy streams into a common framework. As such, this integrated perspective offers a clearer understanding of the key trends in research and in managerial action, as well as an agenda for future studies and practice. This handbook emphasizes how the digital transition will create an increased merging between physical and digital activities, as well as the challenges and opportunities pertaining to this trend. Covering topics including sharing economy, Marketing 4.0, and digital applications, this book is essential for marketers, managers, executives, students, researchers, and academicians.
These proceedings represent the work of contributors to the 16th European Conference on Management Leadership and Governance (ECMLG 2020) hosted by ACI and EM-Normandie Business School, Oxford, UK, UK on 26 – 27th October 2020. The Conference Chair Dr Paul Griffiths, EM-Normandie Business School, Metis Lab. Oxford, UK
This book focuses on data and how modern business firms use social data, specifically Online Social Networks (OSNs) incorporated as part of the infrastructure for a number of emerging applications such as personalized recommendation systems, opinion analysis, expertise retrieval, and computational advertising. This book identifies how in such applications, social data offers a plethora of benefits to enhance the decision making process. This book highlights that business intelligence applications are more focused on structured data; however, in order to understand and analyse the social big data, there is a need to aggregate data from various sources and to present it in a plausible format. Big Social Data (BSD) exhibit all the typical properties of big data: wide physical distribution, diversity of formats, non-standard data models, independently-managed and heterogeneous semantics but even further valuable with marketing opportunities. The book provides a review of the current state-of-the-art approaches for big social data analytics as well as to present dissimilar methods to infer value from social data. The book further examines several areas of research that benefits from the propagation of the social data. In particular, the book presents various technical approaches that produce data analytics capable of handling big data features and effective in filtering out unsolicited data and inferring a value. These approaches comprise advanced technical solutions able to capture huge amounts of generated data, scrutinise the collected data to eliminate unwanted data, measure the quality of the inferred data, and transform the amended data for further data analysis. Furthermore, the book presents solutions to derive knowledge and sentiments from BSD and to provide social data classification and prediction. The approaches in this book also incorporate several technologies such as semantic discovery, sentiment analysis, affective computing and machine learning. This book has additional special feature enriched with numerous illustrations such as tables, graphs and charts incorporating advanced visualisation tools in accessible an attractive display.
This book presents the proceedings of the 2019 International Conference on Digital Science (DSIC 2019), held in Limassol, Cyprus, on October 11–13, 2019. DSIC 2019 was an international forum for researchers and practitioners to present and discuss the most recent innovations, trends, results, experiences and concerns in digital science. The main goal of the conference was to efficiently disseminate original findings in the natural and social sciences, art & the humanities. The contributions in the book address the following topics: Digital Art & Humanities Digital Economics Digital Education Digital Engineering Digital Finance, Business & Banking Digital Healthcare, Hospitals & Rehabilitation Digital Media Digital Medicine, Pharma & Public Health Digital Public Administration Digital Technology & Applied Sciences Digital Virtual Reality