Reputation is considered one of the most relevant assets in business. Tourism and hospitality are no exception - visitors rely heavily on reviews and feedback found on online platforms to inform their decisions. Online Reputation Management in Destination and Hospitality's comprehensive collection of research decodifies the best practices existing in the market, developing innovative strategies for tourism, hospitality, and destination managers to tailor marketing communication strategies to attract attention and boost their reputation. From identifying biased fake reviews to collecting data from the largest online reviewing platforms, Online Reputation Management in Destination and Hospitality analyses the importance of reputation for consumers and their decision-making. The authors provide guidance for destination and hospitality managers on best practices emerging from real-life scenarios combined with the latest theoretical work. Unique research by chapter authors contributes to an increasingly interdisciplinary field, making Online Reputation Management in Destination and Hospitality essential reading for researchers, managers, and business owners globally and across the tourism and hospitality sector.

SMEs represent more than 95% of businesses operating in global markets. These businesses are the fabric of any economic system both in developed and emerging countries, and are the main constituents of any global supply chain throughout the world. However, research on new 4.0 marketing strategies for this kind of businesses has been largely neglected. Extant literature mostly neglects, or fails to articulate the importance of emerging technology such as Big Data, Artificial Intelligence and VR/AR for SMEs. Building on that, this book reviews existing literature on innovation and new technology in marketing for SMEs, what they could do and should avoid. Then, presenting multiple case study from SMEs operating in diverse industries (fashion and design, food and wine, financial services), it develops a practical strategic framework that could be used by SMEs wishing to effectively innovate their marketing strategies in our contemporary digital era. It will be an essential resource for students and researchers of marketing, innovation and industry 4.0.

While it is clear that workforce involvement is fundamental for the success of digital transformation, it is also evident that insufficient attention has been paid to emerging strategies to convince employees to become involved. To do so, this book considers Relational Goods, the intersubjective and reflexive relationships existing between employees, within the DOI framework to evaluate how they influence digital transformation success alongside innovation traits, time and communication channels. The focus for this book is SMEs, as these businesses experience greater difficulties than their larger counterparts in keeping up with the digital revolution. The authors develop the Relational Goods model to a refined DOI framework including the role of relationship and managerial support in the adoption of technologies that may transform the business. It will be of great interest to scholars and students of management, digital transformation and SMEs, as well as HRM professionals.

Addressing the effect of big data analytics-capable information systems on organizational ambidexterity, this book investigates how these systems can be used to enhance organizational agility and flexibility, generally considered to be two key determinants of organizational ambidexterity. With a focus on the opportunities for businesses rather than the burden that big data can represent, the authors highlight the impact of big data on ambidextrous organizations and how current organizational structures can be modified in order to improve big data analytics and implement big data-capable information systems.

Addressing the effect of big data analytics-capable information systems on organizational ambidexterity, this book investigates how these systems can be used to enhance organizational agility and flexibility, generally considered to be two key determinants of organizational ambidexterity. With a focus on the opportunities for businesses rather than the burden that big data can represent, the authors highlight the impact of big data on ambidextrous organizations and how current organizational structures can be modified in order to improve big data analytics and implement big data-capable information systems.