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The purpose of the chapter was to examine the impact of customer care chatbots on customer satisfaction levels in the mobile telephony industry in Zimbabwe, with a special focus on the company Econet Wireless. This chapter shows the conceptual framework used. An online questionnaire was administered to a sample of 100 Econet Wireless subscribers who were selected using probability stratified random sampling from Zimbabwe’s 10 provinces. The research data were collected and analysed for correlation, and a multiple regression analysis was carried out to identify the relationship between customer satisfaction and the three customer service improvements brought in by the introduction of customer service chatbots. The study discovered that there is a positive relationship between customer satisfaction levels and each of the three customer service improvements brought in by customer service chatbots, namely customer service convenience, speed of response, and omnichannel strategies. This study thereby proves that the introduction of customer service chatbots in the mobile telephony industry in Zimbabwe can lead to an improvement in customer satisfaction levels. However, addressing service quality only as a determinant of customer satisfaction in isolation is not sufficient to fully improve customer satisfaction levels. Therefore, organisations that seek to improve their customer satisfaction should consider strategies that address all determinants of customer satisfaction, namely price, product quality, service quality, situational factors, and personal factors. This study contributes to the body of knowledge, particularly regarding the use of artificial intelligence (AI) for customer service in developing economies.

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.

This chapter provides a literature review on the topic of emotional intelligence (EI) in the workplace. Quantitative methods were used, with surveys sent to a predetermined sample and processed with the SPSS statistical package. The overall aim of the study was to investigate the effect of EI based on self-awareness, self-management, empathy, and relationship management on work engagement in a public university. One hundred eight professors at the public university. The data for this study were collected by means of a questionnaire. In total, there are 23 questions on a Likert scale. Cronbach's alpha showed that the reliability of the instrument was higher than 0.763. In light of the data, it has been shown that there is correlation between self-awareness, self-management, relationship management, empathy with both work engagement and job satisfaction. Furthermore, the results show that EI is significantly related to both university loyalty and job happiness. Only a conditional link was created between professors' achievements and the success of the public university.

This study investigates the motivation among customers to be more loyal to online food delivery applications (OFDA) services even after the COVID-19 epidemic by using perceived service quality aspects in Sri Lanka. The data were gathered by physically distributing a self-administrated questionnaire to clients in Sri Lanka who continue to use OFDA services on platform to customer (P2C) service delivery platforms to buy food despite the COVID-19 outbreak. Multiple regression is employed to analyse 287 effective observations, and the data revealed the significant positive effect of interaction, environment, outcome, and food qualities on customer loyalty to OFDA services. In fact, there is no impact from the delivery quality on customer loyalty to OFDA services due to outsourced food delivery. The findings suggest regular improvements in attributes such as interaction, environment, outcome, and food qualities in this hyper-competitive business environment. Further, this study sets substantial facts for the interested parties to establish an exemplary delivery system and other technological advancements to have a sustainable competitive advantage and solid customer base in the long run.

Knowledge management (KM) is an important topic in the age of big data, and this study adds to the existing body of literature by providing a novel KM perspective on the technological phenomenon of artificial intelligence (AI). This study aims to discover how AI might facilitate knowledge-based business-to-business (B2B) marketing. In this chapter, the authors take a close look at the building blocks of AI and the relationships between them. Future research directions and also the effects of the various market information building components on B2B marketing are discussed. The study’s approach is theoretical; it tries to provide a framework for characterising the phenomenon of AI and its constituent parts. Additionally, this chapter provides a methodical analysis of the three categories of market information crucial to B2B marketing: knowledge of customers, knowledge of users, and knowledge of external markets. This research looks at AI through the lens of the conventional data processing framework, analysing the six pillars upon which AI systems are founded. It also explained how the framework’s components work together to transform data into actionable information. In this chapter, the authors will look at how AI works and how it can benefit B2B knowledge-based marketing. It’s not aimed at AI experts but rather at general marketing managers. In this chapter, the possible effects of AI on B2B marketing are discussed using examples from the real world.

Purpose: Leaders must come up with new ideas and motivate their people to welcome new beginnings if they are to adapt to the changing demands of the business. Organisations face challenges in navigating the vast array of possibilities and choices in the volatility, uncertainty, complexity, and ambiguity (VUCA) world. This chapter explores various leadership styles, highlighting leadership initiatives in the context of (VUCA) during the COVID-19 pandemic.

Methodology: Secondary sources were used to collect information and data, including published articles, journals, newspapers, reports, books, and websites. The logical progression was used to comprehend the idea of VUCA leadership and strategies.

Findings of the Study: The VUCA accurately depicted the global landscape after COVID-19. It offered a valuable framework for examining strategy and leadership in a swiftly evolving world. To portray the dynamic characteristics of the corporate environment and to lead, many businesses use VUCA. Furthermore, this study highlights the VUCA leadership essential skills needed for effectively navigating VUCA circumstances.

Practical Implications: This study focuses on VUCA leadership practices and strategies in the workplace. The chapter outlines six key competencies: setting goals, being prepared, putting the customer’s needs first, flexibility and adaptation, decision-making, and collaboration and teamwork. These skills are essential for corporations to endure and thrive in VUCA circumstances. Corporate leaders are encouraged to integrate these skills into their repertoire, equipping themselves to confront challenges in a volatile environment.