Omnichannel Retailing in Light of Psychological Factors: A Mediated Model.

Purpose: Retail businesses have been seeing dramatic changes in the last decades. It has evolved from single-channel retailing to omnichannel retailing, providing a seamless shopping experience to customers. Customers armed with modern technology are creating challenges for retailers and forcing them to create an omnichannel environment.

Understanding the factors affecting AI services adoption in hospitality: The role of behavioral reasons and emotional intelligence.

This study explores the reasons (for and against) the adoption of AI in the hospitality industry among Pakistani customers. The hypothesis was tested using the sample obtained from Pakistani hospitality customers. The data is collected via an online survey and analyzed with the structural equation modeling and PROCESS macro.

Predicting Bitcoin (BTC) Price in the Context of Economic Theories: A Machine Learning Approach.

Bitcoin (BTC)-the first cryptocurrency-is a decentralized network used to make private, anonymous, peer-to-peer transactions worldwide, yet there are numerous issues in its pricing due to its arbitrary nature, thus limiting its use due to skepticism among businesses and households. However, there is a vast scope of machine learning approaches to predict future prices precisely. One of the major problems with previous research on BTC price predictions is that they are primarily empirical research lacking sufficient analytical support to back up the claims.

Role of social media marketing activities in China's e-commerce industry: A stimulus organism response theory context.

Social media marketing has become one of the most significant growth paths for many businesses in today's world. However, many companies are still unclear about using social media marketing to get their advantages, particularly in an e-commerce environment. In this background, this study is proposed to examine the effects of social media marketing activities (SMMAs) (interactivity, informativeness, word-of-mouth-WOM, personalization, and trendiness) on relationship quality, such as commitment, trust, and satisfaction in order to predict consumers' online repurchase intentions in China's e-commerce environment.

Firm innovation activities and consumer brand loyalty: A path to business sustainability in Asia.

Background: In recent years, technological advancements have increased the importance of innovation activities. Therefore, firms invest millions of dollars in innovation activities to ensure long-term business sustainability. Similarly, consumer concerns have increased dramatically over the past years.

Consumer Perceptions of Brand Localness and Globalness in Emerging Markets: A Cross-Cultural Context.

The globalization of markets and consumer behavior has changed dramatically in recent years. Similarly, global and local brands are facing many challenges in emerging markets. Thus, in this backdrop, this research is intended to examine the impact of consumer perceptions of brand localness and globalness on brand attitude in order to predict consumer behavioral intentions (purchase intention, price premium, and word of mouth) in cross-cultural emerging markets (China and Pakistan).

Impact of Performance Lower Than Expectations on Work Behaviors: The Moderating Effect of Status Mutability and Mediating Role of Regulatory Focus.

Purpose: Drawing on social cognitive theory (SCT), this research aims to test the mediation of promotion focus motivation in between performance lower than expectations and innovative work behavior under the moderation of status hierarchy mutability. Further, low performance may also lead employees to counter-productivity through prevention focus. Thus, this study examines both sides of performance lower than expectations of the employee in the organization.