The surge in remote and hybrid work arrangements has sparked a paradigm shift in the employment ecosystem. While remote work offers employees the coveted flexibility and freedom from daily commutes, it also introduces challenges such as isolation, reduced visibility, and questions about productivity. Impact of Teleworking and Remote Work on Business: Productivity, Retention, Advancement, and Bottom Line delves into the multifaceted impact of teleworking on businesses, exploring how different organizations grapple with these challenges, drawing on the experiences of industry giants like Google and IBM. It carefully dissects the advantages and disadvantages of teleworking, addressing distractions, cybersecurity concerns, and the polarized nature of remote work across global and skill dimensions. The book presents an exploration of solutions tailored for diverse stakeholders. From strategies to enhance employee productivity and maintain confidentiality to fostering human connections and tackling the challenges faced by new hires, each chapter offers actionable insights. Employers, employees, and management teams will find guidance on creating a collaborative and innovative remote work culture, mitigating distractions, and striking a balance between work and personal life. The suggested topics span the gamut of remote work intricacies, from the relationship between remote work and job satisfaction to strategies for maintaining connections between managers and remote employees. With small, medium, and large companies, government agencies, and universities as the target audience, the book serves as a strategic guide for entities seeking to harness the potential of remote work while mitigating its challenges.

In the digital age, the tourism industry faces the challenge of effectively marketing destinations amidst a sea of competition and information. Marketing Information Systems (MkIS) and Big Data Analytics (BDA) hold immense potential. Yet, many organizations need help harnessing their power efficiently. Marketing and Big Data Analytics in Tourism and Events offer a comprehensive solution, deep-dive into integrating MkIS and BDA as a strategic approach to revolutionizing tourism marketing. The book aims to bridge the gap between theory and practice by examining the complexities and nuances of MkIS and BDA in promoting tourist destinations. It provides actionable insights and practical strategies for leveraging these technologies effectively. Readers will understand how AI-driven MkIS and BDA can enhance marketing campaigns, improve customer experiences, and drive business growth in the tourism sector.

The emergence of artificial intelligence (AI) has ushered in a transformative wave, disrupting trends and reshaping the landscape of services marketing. As businesses grapple with the interplay between evolving consumer behaviors and the progression of AI, a critical need emerges for a guide to navigate this complex terrain. The stakes are high, and the challenges are multifaceted – from redefining customer experiences to addressing ethical considerations in the age of automation. In response to these pressing issues, AI Innovation in Services Marketing stands out as a source of insight, unraveling the complexity surrounding the integration of AI in services marketing. This book endeavors to equip readers with an understanding of how AI is not just a tool but a force driving profound transformation in services marketing. Through a lens focused on real-world examples and insightful case studies, it illuminates the impact of AI on productivity and customer experiences. Beyond the transformative power, the book grapples with the ethical considerations that arise in the wake of AI adoption in services marketing. It seeks to guide both academics and practitioners, offering a resource to harness AI strategically, optimize services, and maintain a competitive edge in the global market.

Marketing and consumer science are undergoing a seismic shift, propelled by an array of dynamic trends and advancements. Technological advancements, along with shifting socioeconomic and geopolitical factors, have transformed consumer behaviors and preferences in unprecedented ways. As a result, anticipating emerging trends and adapting strategies accordingly has become essential for success in this dynamic landscape. New Trends in Marketing and Consumer Science is the groundbreaking solution poised to revolutionize how academia approaches the study of marketing and consumer science. This book offers a roadmap for scholars to navigate the evolving landscape with confidence and foresight while delving into the trends shaping the future of these disciplines. From AI and machine learning to sustainability and ethical marketing, each chapter provides invaluable insights and practical strategies for addressing the challenges of today and anticipating those of tomorrow.

Understanding consumer behavior in today's digital landscape is more challenging than ever. Businesses must navigate a sea of data to discern meaningful patterns and correlations that drive effective customer engagement and product development. However, the ever-changing nature of consumer behavior presents a daunting task, making it difficult for companies to gauge the wants and needs of their target audience accurately. Enhancing and Predicting Digital Consumer Behavior with AI offers a comprehensive solution to this pressing issue. A strong focus on concepts, theories, and analytical techniques for tracking consumer behavior changes provides the roadmap for businesses to navigate the complexities of the digital age. By covering topics such as digital consumers, emotional intelligence, and data analytics, this book serves as a timely and invaluable resource for academics and practitioners seeking to understand and adapt to the evolving landscape of consumer behavior.

Marketing on digital platforms requires critical thinking on data management systems, machine learning methods, and attributes like customer trust, societal ethics, and managing consumer feedback with the utmost utilization of technology in different ways. The pursuit for a unified source of information is fundamental for marketers in digital marketing. Ethical Marketing Through Data Governance Standards and Effective Technology delves into the intricacies of achieving this unity by addressing the challenges and presenting solutions in a structured manner. The book explores the fundamental necessity for an effective data governance strategy. It emphasizes the eradication of silos and the establishment of regulations governing data classification, storage, and processing. Within this framework, the application of artificial intelligence in marketing takes center stage. The book investigates Artificial Intelligence (AI) marketing, machine learning methods, and data management systems. Furthermore, the book studies advertising standards and challenges on online platforms. The intersection of technology and advertising is dissected, focusing on virtual assistance through avatars and their impact on consumer psychology. The importance of a comprehensive database governance strategy is underscored, presenting a complete approach for corporations to navigate the intricacies of online marketing while upholding ethical standards.

Experts from across all industrial-organizational (IO) psychology describe how increasingly rapid technological change has affected the field. In each chapter, authors describe how this has altered the meaning of IO research within a particular subdomain and what steps must be taken to avoid IO research from becoming obsolete. This Handbook presents a forward-looking review of IO psychology's understanding of both workplace technology and how technology is used in IO research methods. Using interdisciplinary perspectives to further this understanding and serving as a focal text from which this research will grow, it tackles three main questions facing the field. First, how has technology affected IO psychological theory and practice to date? Second, given the current trends in both research and practice, could IO psychological theories be rendered obsolete? Third, what are the highest priorities for both research and practice to ensure IO psychology remains appropriately engaged with technology moving forward?