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In Cameroon's blood banks, the shortage of blood bags is difficult to overcome because of the lack of donor loyalty and the complexity of recruiting new donors. This study explores the possibility of retaining donors and turning them into prospectors by analysing their satisfaction.

A Servqual questionnaire was administered to a sample of 109 donors obtained by voluntary sampling. We used customer satisfaction to determine the satisfaction score and the tetraclass model to analyse the contribution of the elements to satisfaction.

Our results show that the blood donor satisfaction score is low (60.33%) compared with the norm (80%). The post-donation follow-up stage is the factor with the greatest influence on improving blood donor satisfaction. The elements that require particular attention in the supervision of blood donors are the snacking and blood-taking stages, because they have a strong capacity to worsen donor satisfaction when they are badly perceived by donors.

The study focuses on aspects specific to the Cameroonian situation and sheds a unique light on blood donor satisfaction in this context, while offering a general understanding of this issue on an international scale.

This research aims to investigate the effects of e-service quality on customer satisfaction and customer loyalty. The moderating effects of web design and trust in the relationship between e-service quality and customer satisfaction are also explored.

A conceptual model involving various dimensions of e-service quality, customer satisfaction, loyalty, price perception and web design is developed, and hypothesized relationships are tested using Hayes’s PROCESS macros. A survey instrument and data from 650 respondents who are regular e-buyers from the southern part of India are used.

The results indicate that e-service quality positively relates to customer satisfaction and loyalty. The findings also suggest that price perception and trust are vital in enhancing customer satisfaction. Further, the indirect effect of e-service quality on customer loyalty through customer satisfaction is supported. Finally, web design (first moderator) and trust (second moderator) significantly influence the relationship between e-service quality and customer satisfaction.

This research underscores the importance of e-service quality, web design, and trust in influencing customer satisfaction. Based on the findings from this study, e-retailers are suggested to discover the methods of building and improving customer trust and create a web design that is appealing to the customer to enhance satisfaction and loyalty. Some of the limitations of this study include common method bias and social desirability bias. However, the authors have taken adequate care to minimize these biases.

This paper used the e-service quality model and investigated the consequences of e-service quality during the post-pandemic new normal period in a developing country (India). The double moderation of web design and trust is a novel idea that previous researchers have not explored to the best of the authors' knowledge and makes a significant contribution to service marketing. In addition to providing resounding evidence of direct relationships, the three-way interaction investigated in this study makes this study unique and pivotal.

The study aims to examine the impact of an artificial intelligent service agent (AISA) on customer services to the rural population provided by KAYA, Kotak Life's AI-enabled insurance chatbot avatar that offers quality insurance services.

Multi-stage cluster sampling method was adopted to collect the responses from the 707 customers across the rural population of southern states of India. SPSS V.2 and Smart PLS 4 were used to apply simple percentage analysis, multiple linear regression analysis, and structural equation modeling (SEM) to validate the hypothesis. The dependent variables are economic performance and market performance based on the independent variables: efficiency, security, availability, enjoyment and contact.

The study revealed that efficiency and security are the highest predictors and the most influencing variables in predicting the economic and market performance of the insurance companies in determining the quality of service when rendered through AISA among the customers. Efficiency, security, availability, contact and enjoyment are the critical dimensions of AISA. It has a more significant impact on quality service (claim processing) to the rural population. It improves the economic and market performance among the insurance companies and the rural population.

Customers need convenience when making claims. Even little challenges might lead to stress and unhappiness, depending on the situation. Restrictions on where customers can file claims may not be the most outstanding service insurance firms can offer, given rising travel and commuting costs and widening geographical borders. Customers value proactive communication from service providers about the status of their insurance claims.

One of the fundamental objectives of adopting digital supply chain (DSC) is to uplift the performance of an organization. Although a wide variety of literature confirms the impact of DSC on performance, it is hard to explore as to which dimensions of the performance is affected by DSC and how much. This chapter undertakes discussion on the impact of DSC on the various organizational performance indicators. The chapter also denotes some major key performance indicators (KPIs) that organization can track to gauge the impact of DSC on performance. A brief discussion on the challenges related to the development, adoption, and continuation of KPIs is also appeared in the later part of the chapter. The chapter concludes by denoting that the utilization of digital technologies (DTs) such as artificial intelligence (AI), the Internet of Things (IoT), and complex analytics in DSC has prospects for enhancing the operational efficiency, transparency, and agility of a supply chain (SC). Organizations that adopt these DTs have experienced better demand forecasting, reduced time order fulfillment time, and higher levels of consumer satisfaction. Nonetheless, the successful use of DSC requires development and implantation of KPIs regularly.

This study proposes a methodology based on data source triangulation to measure the “strategic fit” for the automotive supply chain.

At first, the authors measured the responsiveness of the Indian automobile supply chain, encompassing the top ten major automobile manufacturers, using both sentiment and conjoint analysis. Second, the authors used data envelopment analysis to identify the frontiers of their supply chain. The authors also measured the supply chain's efficiency, using the balance sheet. Further, the authors analyzed the “strategic fit” zone and discussed the results.

The results indicate that both the proposed methods yield similar outcomes in terms of strategic fitment.

The study outcomes facilitate measuring the strategic fit, thereby leveraging the resources available to align. The methodology proposed is both easy to use and practice. The methodology eases time and costs by eliminating hiring agencies to appraise the strategic fit. This valuable method to measure strategic fit can be considered feedback for strategic actions. This methodology could also be incorporated possibly as an operative measurement and control tool.

Data triangulation meaningfully enhances the accuracy and reliability of the analyses of strategic fit. Data triangulation leads to actionable insights relevant to top managers and strategic positioning of top managers within a supply chain.

This study aims to investigate the mediating effect of career resilience (CR) on Generation Z’s emotional intelligence (EI) and perceived career outcomes such as career satisfaction (CSAT), burnout and intention to leave a career. In its short organizational tenure, Gen Z has faced the adverse effects of global events affecting their views of career and, ultimately, CR.

A cross-sectional survey method was used to test the hypothesized relationship. A total sample of 160 respondents were assessed. Hypotheses in this study were tested by using Hayes’s (2018) PROCESS tool based on OLS regression and with a bootstrap method.

The most significant finding of this study concludes that although small, CR has a positive mediating indirect effect on Gen Z’s CSAT and burnout. However, contrary to past findings, we found a negative relationship between Gen Z’s EI and CR. Furthermore, although EI and CSAT have a positive relationship, CR and CSAT are negatively correlated. Meanwhile, Gen Z’s EI through CR positively affects Gen Z’s CSAT.

The study has implications for how organizations can attract, retain and engage Gen Z.

Despite Gen Z being a part of the workforce for at least six years, limited empirical research on Gen Z has been published. Indeed, Gen Z’s workforce inexperience does not yield in-depth explanations of CR concepts; however, as we continue to learn more about Gen Z and their interactions with the work environment, the authors begin to get a peek into the future of the workforce.

This study assesses the quality of health-insurance services and their impact on customer satisfaction, examining the mediating role of utilitarian value and brand image in this relationship.

Survey data were collected from 345 health-insurance companies' customers selected through convenience sampling and were analyzed using SmartPLS.

Service quality statistically significantly influences customer satisfaction with health insurance in Saudi Arabia, whereas brand image and utilitarian value partially mediate this relationship. The structural path between service quality and brand image was statistically significant and positive. The utilitarian dimension positively affects customer satisfaction and service quality.

This study is significant to the management, as it provides insight into the expectations of health-insurance users. The focus is to gain a competitive advantage by improving customer service and brand image.

This investigation contributes to the field by exploring the mediating role of utilitarian value and brand image in the relationship between health-insurance quality and customer satisfaction based on the information provided by insurance policyholders in Saudi Arabia.

This study aims to explore the role customer satisfaction play in mediating the nexus between commitment, trust, relative dependence and customer loyalty from an emerging market context under a business-to-business (B2B) setting.

The study was a descriptive survey, and using convenience sampling technique, questionnaires were used to gather data from 356 businesses that were distributors of Guinness Ghana Company Limited. Partial least squares structural equation modeling was used to test the proposed hypotheses for this study, and macro-PROCESS was performed to test the mediating effect of customer satisfaction.

The findings show that relative dependence had the most considerable significant and positive impact on B2B partners satisfaction, followed by commitment and trust, respectively. A positive and significant relationship was also found between B2B firms’ satisfaction and loyalty. The result also indicates that customer satisfaction mediates the relationship between commitment, trust, relative dependence and B2B loyalty.

Practitioners can manipulate specific relative dependence, commitment and trust features to increase customer satisfaction with their firm’s services, thus ensuring longer-term customer loyalty.

Drawing on the social exchange theory, this study provides a more profound perspective focusing on an emerging market context, by examining from a B2B setting the significance of commitment, trust, relative dependence and B2B partners satisfaction on loyalty.

Fitness centers have become quotidian fundamentals. Consequently, center managers face escalating competitiveness to sustain their businesses. Saudi Arabia's Vision 2030 emphasizes quality of life and the gravitation toward healthy lifestyles. The service quality of fitness centers is an essential factor influencing customer satisfaction. Owing to the dearth of research on this topic, especially on female-only fitness centers, this study aims to investigate the factors affecting the service quality of female fitness centers in Saudi Arabia regarding satisfaction. Additionally, this study examines the moderating roles of age and income on the relationship between service quality and satisfaction.

The Service Quality Assessment Scale (SQAS) was adopted with five of the original dimensions (staff, workout facilities, physical facilities, exercise program and locker room) and two newly added dimensions (parking and social environment). This study also investigates the moderating roles of age and income on the relationship between service quality and customer satisfaction.

All SQAS dimensions positively affected the quality of fitness centers. Furthermore, the service quality of fitness centers increased women's satisfaction, and age and income moderated the relationship between service quality and customer satisfaction.

Fitness centers are highly competitive, and this study offers insights for managers of such facilities to improve customer satisfaction.

This study aimed to identify and analyse the key factors influencing the adoption of e-government services and to discern their implications for various stakeholders, from policymakers to platform developers.

Through a comprehensive review of existing literature and detailed analysis of multiple studies, this research organised the influential factors based on their effect: highest, direct and indirect. The study also integrated findings to present a consolidated view of e-government adoption drivers.

The research found that users' behaviour, attitude, optimism bias and subjective norms significantly shape their approach to e-government platforms. Trust in e-Government (TEG) emerged as a critical determinant, with security perceptions being of paramount importance. Additionally, non-technical factors, such as cultural, religious and social influences, play a substantial role in e-government adoption decisions. The study also highlighted the importance of performance expectancy, effect expectancy and other determinants influencing e-government adoption.

While numerous studies have explored e-government adoption, this research offers a novel classification based on the relative effects of each determinant. Integrating findings from diverse studies and emphasising non-technical factors introduce an interdisciplinary approach, bridging the gap between information technology and fields like sociology, anthropology and behavioural sciences. This integrative lens provides a fresh perspective on the topic, encouraging more holistic strategies for enhancing e-government adoption globally.