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This paper investigates effective human-robot collaboration (HRC) and presents implications for Human Resource Management (HRM). A brief review of current literature on HRM in the smart industry context showed that there is limited research on HRC in hybrid teams and even less on effective management of these teams. This book chapter addresses this issue by investigating factors affecting intention to collaborate with a robot by conducting a vignette study. We hypothesized that six technology acceptance factors, performance expectancy, trust, effort expectancy, social support, organizational support and computer anxiety would significantly affect a users' intention to collaborate with a robot. Furthermore, we hypothesized a moderating effect of a particular HR system, either productivity-based or collaborative. Using a sample of 96 participants, this study tested the effect of the aforementioned factors on a users' intention to collaborate with the robot. Findings show that performance expectancy, organizational support and computer anxiety significantly affect the intention to collaborate with a robot. A significant moderating effect of a particular HR system was not found. Our findings expand the current technology acceptance models in the context of HRC. HRM can support effective HRC by a combination of comprehensive training and education, empowerment and incentives supported by an appropriate HR system.

One of the most marginalized communities in India is the Lesbian, Gay, Bisexual and Transgender (LGBT) community which commonly experiences discrimination. Many studies have countered that the LGBT community faces high discrimination in the banking and financing industry. As a result, this study concentrates on this marginalized community and its acceptance and continuation habit regarding mobile wallets. Consequently, this study has considered continuance intentions as a response to confirm the progress of the mobile-wallet industry. Also, this study tried to study the relationship between behavioral intention (BI) and continuous intention (CI) which is seriously lacks in the library of literature. The research operationalized the stimulus–organism–response (SOR) framework for the conceptual model and surveyed 100 self-proclaimed members of the LGBT community in India. The analysis has been done using the partial least structure (PLS). The findings demonstrate that variables like perceived trust (PT) directly influence the BI. On the other hand, variables like perceived ease of use (PEoU), social influence (SI), and satisfaction (S) doesn’t influence BI of the LGBT Community. The main outcome was a favorable association between BI and CI. It will help the stakeholders to understand how important this new market avenue is and how it can be explored. To ensure safe and secure transactions, a group think tank composed of important parties (financial institutions, mobile-wallet providers, the government, security specialists, etc.) should make recommendations. Mobile-wallet providers will attain benefit from this study’s understanding of user categories and ability to tailor their service offers as per the community.

We review the literature on individual acceptance of technology to show how organizations can improve the effective use of human resource web-based technologies. Integrating and expanding several theoretical models of technology acceptance, we develop a perceptual model of employee self-service (ESS) acceptance and usage. Based on this model, we propose several key individual, technological, and organizational factors relevant to individual intentions to use ESS technology. We summarize these in several testable propositions and also discuss implications for organizational researchers and practitioners.

Chatbot technology is growing swiftly across the banking and finance industry. The study aims to explore the influence of Task-Technology Fit (TTF), system suitability, perceived usefulness, social influence and satisfaction on respondents’ continuance intention among the chatbot-users. A total of 250 responses were collected using a structured questionnaire via social media across India. The measurement model was proposed based on the system usability (SUS) and TTF model with other constructs, and the hypothesis was tested using a structural equation model. The findings of the study highlighted and confirmed the association among five constructs: TTF, SUS, perceived usefulness, social influence, on satisfaction and continuance intention in the context of chatbots usage in banking.

Two primary approaches have been used to study employment brands and branding. First, there is a long history of the study of organizational attraction. Second, in the past 10–15 years, there has been growth in a hybrid stream of research combining branding concepts from the consumer psychology literature with I/O psychology frameworks of organizational attraction and applicant job search behavior. In this chapter, we take an entirely different approach and suggest that the theoretical models built around product/service brand knowledge can readily accommodate employment brands and branding without hybridizing the framework with I/O psychology. This merging of employment brand with product and service brands is accomplished simply by recognizing employment as an economic exchange between workers and employers and recognizing workers as cognitive and emotional beings that vary in their talents and have their own vectors of preferences for the employment offering. After developing a testable model of the components, antecedents, and consequences of employment brand knowledge, we review the existing employment brand and organizational attraction literature and identify multiple opportunities for additional research.

This chapter provides an overview of the strategic implications of chatbot use and implementation, including potential applications in marketing, and factors affecting customer acceptance. After presenting a brief history and a classification of conversational artificial intelligence (AI) and chatbots, the authors provide an in-depth review at the crossroads between marketing, business, and human–computer interaction, to outline the main factors that drive users' perceptions and acceptance of chatbots. In particular, the authors describe technology-related factors and chatbot design characteristics, such as anthropomorphism, gender, identity, and emotional design; context-related factors, such as the product type, task orientation, and consumption contexts; and users-related factors such as sociodemographic and psychographic characteristics. Next, the authors detail the strategic importance of chatbots in the field of marketing and their impact on consumers' perceived service quality, satisfaction, trust, and loyalty. After discussing the ethical implications related to chatbots implementation, the authors conclude with an exploration of future opportunities and potential strategies related to new generative AI technologies, such as ChatGPT. Throughout the chapter, the authors offer theoretical insights and practical implications for incorporating conversational AI into marketing strategies.

Many years ago, the amazing literary giant and social critic James Baldwin was never more profound when he noted that “Color is not a human or a personal reality in America, it is a political reality” (Baldwin, 1963, p. 139). If we ever had any doubts about the currency of Baldwin's commentary, we have only to remember the remarks by Senator Trent Lott (R-Mississippi) and his subsequent resignation as Senate Majority leader, in the U.S. Congress. Lott was under criticism for his remarks at a party celebrating the 100th birthday of Senator Strom Thurmond (R-South Carolina), who ran unsuccessfully for president in 1948 on a segregationist platform. At the birthday celebration, Lott said the nation would have been better off had Thurmond won that election. The damages in Senator Lott's comments are not simply that they are offensive as a characterization of our national past. The damage is that his words imply an intention or acceptance of racial segregation as the continuing reality of America's future. Lott's remarks are but reflective of the Southern Manifesto or the Nixonian strategy, often called the ‘bubba factor.’ The strategy was to reclaim the south by appealing to the fears of southern white men. This blatant Confederate viewpoint was furthered and joined by conservative scholars and activists who developed the counterattack programs to dismantle the civil rights agenda and social programs, aimed at equalizing educational opportunity. The code word was “reverse discrimination.”