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The purpose of this paper is to shed light on the interplay between selected consumer behavior constructs and their individual and joint influences on purchase intentions of global, local, and hybrid brands. This is a topic that is becoming increasingly important as the world moves toward global economic interdependence and increasingly more firms expand abroad.

As the paper is in its conceptual/modeling phase, its research design is not yet complete, nor does it offer any findings. Resting our work on attitude and identity theories, we derive hypotheses about the potential influence of consumer behavior constructs, that is, the levels of the consumer’s global consumption orientation, globalization attitude, consumer ethnocentrism, and consumer cosmopolitanism on global brand attitude and its influence on willingness to purchase global versus nonglobal brands. We also derive hypotheses about influences that might moderate this relationship; specifically the consumer’s affinity with the home country of the particular brand, and the perceived value embedded in the brand.

Our work will contribute to the expanding literature on global consumer culture and consumption patterns and will thus provide valuable insights for international marketing managers and for social policy.

Our work will examine the joint influences of several consumer behavior constructs on brand purchase behavior, in addition to the independent influences of these constructs. It will also explore the possible mediating influence of global brand attitude on purchase intentions and moderating effects, if any, of perceived value and consumer affinity on consumers’ choices of global over local and hybrid brands.

Artificial Intelligence (AI) is one of the newest technology that is quickly advancing and can be utilised to improve human resource competence in the age of rapid digital transformation. The present competitive scenario demands accurate data that need to be collected and analysed for organisational growth.

Purpose: The research examines the applications and usage of AI in performance management and further analyses the future of PM from the perspectives of AI.

Methodology: The study is conceptual and relies on secondary data from research papers, publications, HR blogs, survey reports and other sources. Employee performance and attitudes were monitored using digital technologies, big data analytics and AI. The quality of employee performance continues to increase with the integration of AI, enabling predictive analytics to increase employee performance.

Research Implication: In employee performance appraisal, a digital performance management system leads to openness and honesty with time, effort and sincerity. It is based on the performance management system’s practical usefulness.

Theoretical Implication: The study’s findings provide HR managers, academics, IT professionals and practitioners with an understanding of how AI may be used for performance management and its consequences on their operations. In addition, the connection between the HR devolution theory on performance management and AI is discussed.

This study tests the influence of Big Five Personality Traits (BFPTs) and demographic factors on Facebook behavior of Posting, Feature Usage, and Making Friends in India, home to the highest number of Facebook users in the world. Gen-Z is the demographic most involved in social media, thus this age group’s behavior can be most accurately gauged from Facebook habits and so it forms the basis of this study. Facebook behavior identified in this study was the outcome of an elicitation study conducted among university students. The sample survey consisted of 290 Facebook users aged between 17 and 24 years. The chapter uses factor analysis and structural equation modeling (SEM) for data analysis. Results revealed that extroverts and those open to experiences would post more. Meanwhile, the conscientious were less inclined to use features such as emoticons while those more agreeable embraced them. Women and those more neurotic would not befriend strangers. Also, posting and feature usage increased with user age. Study results highlight the potential of analyzing Facebook behavior to gauge personalities, which could benefit recruiters and marketers. Academically, this is the first study related to India where a scale for Facebook behavior is developed (namely Posting, Feature Usage, and Making Friends) and then validated for future research work.

Tourism is considered one of the globe's most prominent sectors, generating considerable forex revenues and employment generation, contributing to world peace and solidarity among many nations. However, it is negatively influenced by different factors like the spread of diseases, terrorist attacks, outbreaks of war, etc. The COVID-19 pandemic triggered unforeseen upheavals, resulting in demand and supply uncertainties in nearly every area of the economy (El-Erian, 2020). Thus, it is relevant to study the impact of the pandemic on the tourism industry. This chapter explains the journey of tourism during the COVID-19 pandemic by portraying the status of global tourism, how it impacted the Indian economy and its revival strategies, with special mention to Kerala tourism. The pandemic also resulted in a considerable change in the travel intentions of tourists, their travel preferences and their attitude towards travel. Hence, this chapter also presents the changed travel intentions of tourists that will help the industry players modify their products per the tourist's expectations. Finally, this chapter presents how the tourism industry recovered from the pandemic from both the supplier and demand perspectives, which will be helpful for all tourism stakeholders.