martes, 19 de mayo de 2020

Encyclopedia of Organizational Knowledge, Administration, and Technology (5 Volumes)

Mehdi Khosrow-Pour D.B.A. (Information Resources Management Association, USA)
Projected Release Date: July, 2020|Copyright: © 2021 |Pages: 4000
ISBN13: 9781799834731|ISBN10: 1799834735|EISBN13: 9781799834748|DOI: 10.4018/978-1-7998-3473-1

LINK: https://igi-global.com/book/encyclopedia-organizational-knowledge-administration-technology/242894

Description

For any organization to be successful, it must operate in such a manner that knowledge and information, human resources, and technology are continually taken into consideration and managed effectively. Business concepts are always present regardless of the field or industry – in education, government, healthcare, not-for-profit, engineering, hospitality/tourism, among others. Maintaining organizational awareness and a strategic frame of mind is critical to meeting goals, gaining competitive advantage, and ultimately ensuring sustainability.
The Encyclopedia of Organizational Knowledge, Administration, and Technology is an inaugural five-volume publication that offers 193 completely new and previously unpublished articles authored by leading experts on the latest concepts, issues, challenges, innovations, and opportunities covering all aspects of modern organizations. Moreover, it is comprised of content that highlights major breakthroughs, discoveries, and authoritative research results as they pertain to all aspects of organizational growth and development including methodologies that can help companies thrive and analytical tools that assess an organization’s internal health and performance. Insights are offered in key topics such as organizational structure, strategic leadership, information technology management, and business analytics, among others. The knowledge compiled in this publication is designed for entrepreneurs, managers, executives, investors, economic analysts, computer engineers, software programmers, human resource departments, and other industry professionals seeking to understand the latest tools to emerge from this field and who are looking to incorporate them in their practice. Additionally, academicians, researchers, and students in fields that include but are not limited to business, management science, organizational development, entrepreneurship, sociology, corporate psychology, computer science, and information technology will benefit from the research compiled within this publication.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:
  • Algorithms
  • Artificial Intelligence
  • Artificial Neural Networks
  • Big Data
  • Cloud Computing
  • Corporate Social Responsibility
  • Cyber Crime
  • Cybersecurity
  • Data Journalism
  • Datamining
  • Digital Marketing
  • Fraud Detection
  • Fuzzy Conditions
  • Health Systems
  • Human Trafficking
  • Industry 4.0
  • Information Overload
  • Intellectual Capital
  • Management Automation
  • Management Support Systems
  • Medical Social Networks
  • Organizational Performance
  • Phishing
  • Policy and Ethics
  • Smart Grid Technology
  • Social Media



Chapter 113
Similarities and Differences between Word-Of-Mouth and electronic Word-of-Mouth
María Dolores Sánchez-Fernández, Daniel Álvarez-Bassi, José Ramón Cardona
To compare both concepts, the causative variables of recommendations generation will be analysed in one of the most important economic activities, the tourism sector. Tourism literature recognizes the importance of emotions, satisfaction and post-purchase behaviour (Bigné, Andreu, & Gnoth, 2005), and diverse studies show emotions as antecedent of satisfaction and behavioural intentions (e.g., Grappi & Montanari, 2011; Han & Jeong, 2013; Yuksel & Yuksel, 2007). Some studies have found a positive relationship between satisfaction and the intention to recommend (Lii & Lee, 2012; Prayag, Hosany, Muskat, & Del Chiappa, 2017), but other authors raise doubts about the existence of this relationship (Dolnicar, Coltman, & Sharma, 2015; Yang, 2017).

No hay comentarios:

Publicar un comentario