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This research addresses the critical challenge of fostering customer loyalty within the highly competitive landscape of the insurance industry. The study investigates the interplay between customer satisfaction, loyalty, and the influence of technology and service quality in the context of insurance services and in periods of crisis.

A quantitative research approach was employed, utilizing a structured questionnaire distributed among diverse insurance customers in Lebanon during crisis conditions. The data were analyzed using SPSS-Amos, incorporating descriptive statistics, correlation analysis, and structural equation modeling (SEM).

This research emphasizes the crucial role of customer satisfaction in fostering loyalty in the insurance sector, especially during crises. High satisfaction levels, influenced by user-friendly online platforms, positively correlate with increased customer loyalty. Technology plays a vital role in maintaining and improving satisfaction, making it a key driver during challenging times. Positive interactions between service quality and satisfaction further highlight the multifaceted impact of technology on shaping customer loyalty.

The research findings provide valuable insights with practical implications for insurers aiming to boost customer loyalty. The study recommends strategic investments in critical areas like claims processing, customer service, communication strategies, digitalization initiatives, and employee training. The study provides insights applicable particularly to insurance companies navigating crisis conditions.

This research contributes both to academic understanding and practical applications by shedding light on the distinctive challenges and opportunities faced by insurers in cultivating customer loyalty within the insurance industry during crisis. The elucidations provided serve as a foundation for developing targeted strategies to address these challenges and to leverage opportunities for enhanced customer loyalty.

Upon completion of the case study, students will be able to assess the business environment a firm faces and develop strategies to match its strengths and weaknesses vis-à-vis opportunities and threats; formulate growth/expansion strategies for a firm; and evaluate resources of the firm to develop a competitive advantage.

The case describes the journey of Praajasv Foundation, an institute that provides coaching for students pursuing civil service exams in Gujarat. Established in 2019 in a rented space in Ahmedabad, Praajasv made a name for itself in the competitive market of civil service exam coaching by 2022, thanks to its expert tutors and focus on quality education. However, with the changing dynamics of the industry, Malhar Bhatt, the COO of Praajasv, must navigate the institute to strengthen its position. The increasing number of aspirants for the Class-III cadre exams and the presence of strong national competitors pose significant challenges for Malhar in terms of strategic planning. The rise of online education as an alternative to classroom teaching has also altered the competitive landscape of the industry. How do these trends impact Malhar’s plans for Praajasv? How should Malhar plan to expand the Praajasv Foundation in the coming years?

This case can be useful for students majoring in strategic management and marketing management at the master’s level

Teaching notes are available for educators only.

CSS 8: Marketing.

Objectively evaluating the fairness of the algorithm, exploring in specific scenarios combined with scenario characteristics and constructing the algorithm fairness evaluation index system in specific scenarios.

This paper selects marketing scenarios, and in accordance with the idea of “theory construction-scene feature extraction-enterprise practice,” summarizes the definition and standard of fairness, combs the application link process of marketing algorithms and establishes the fairness evaluation index system of marketing equity allocation algorithms. Taking simulated marketing data as an example, the fairness performance of marketing algorithms in some feature areas is measured, and the effectiveness of the evaluation system proposed in this paper is verified.

The study reached the following conclusions: (1) Different fairness evaluation criteria have different emphases, and may produce different results. Therefore, different fairness definitions and standards should be selected in different fields according to the characteristics of the scene. (2) The fairness of the marketing equity distribution algorithm can be measured from three aspects: marketing coverage, marketing intensity and marketing frequency. Specifically, for the fairness of coverage, two standards of equal opportunity and different misjudgment rates are selected, and the standard of group fairness is selected for intensity and frequency. (3) For different characteristic fields, different degrees of fairness restrictions should be imposed, and the interpretation of their calculation results and the means of subsequent intervention should also be different according to the marketing objectives and industry characteristics.

First of all, the fairness sensitivity of different feature fields is different, but this paper does not classify the importance of feature fields. In the future, we can build a classification table of sensitive attributes according to the importance of sensitive attributes to give different evaluation and protection priorities. Second, in this paper, only one set of marketing data simulation data is selected to measure the overall algorithm fairness, after which multiple sets of marketing campaigns can be measured and compared to reflect the long-term performance of marketing algorithm fairness. Third, this paper does not continue to explore interventions and measures to improve algorithmic fairness. Different feature fields should be subject to different degrees of fairness constraints, and therefore their subsequent interventions should be different, which needs to be continued to be explored in future research.

This paper combines the specific features of marketing scenarios and selects appropriate fairness evaluation criteria to build an index system for fairness evaluation of marketing algorithms, which provides a reference for assessing and managing the fairness of marketing algorithms.

Algorithm governance and algorithmic fairness are very important issues in the era of artificial intelligence, and the construction of the algorithmic fairness evaluation index system in marketing scenarios in this paper lays a safe foundation for the application of AI algorithms and technologies in marketing scenarios, provides tools and means of algorithm governance and empowers the promotion of safe, efficient and orderly development of algorithms.

In this paper, firstly, the standards of fairness are comprehensively sorted out, and the difference between different standards and evaluation focuses is clarified, and secondly, focusing on the marketing scenario, combined with its characteristics, key fairness evaluation links are put forward, and different standards are innovatively selected to evaluate the fairness in the process of applying marketing algorithms and to build the corresponding index system, which forms the systematic fairness evaluation tool of marketing algorithms.

The phenomenon of global brands taking a stance on crucial, yet polarizing, socio-political issues, namely global brand activism, is rising. However, how consumer views on this practice are shaped when global branding elements are factored in remains unclear. Drawing from the functional theory of attitude formation, this study investigates the relationships of consumer characteristics (political ideology, consumer ethnocentrism) and brand factors (global brand attitudes and perceived motivation of global brand activists) with attitudes toward global brand activists.

Using a survey of a UK nationally representative sample (n = 439), we test our hypothesized model via structural equation modeling and mediation analysis.

Our findings reveal direct and indirect effects of political ideology on attitudes toward global brand activists (AttGBACTIVs). While consumer ethnocentrism and global brand attitudes do not directly drive AttGBACTIVs, they do influence them indirectly. Perceived motivation of global brand activists emerges as a key mechanism activating these effects and affecting AttGBACTIVs.

First, this study constitutes a novel examination of consumer views of brand activism through a global branding lens. Second, our investigation uniquely combines important determinants of brand activism outcomes with key international marketing factors (namely consumer ethnocentrism and global brand attitudes). Third, the concurrent exploration of individual and brand factors in our mediated model reveals the complex mechanisms through which attitudes toward global brand activists are formed.

This case study will help business management students learn the dynamics of distribution management in the rural context. After working through the case and assignment questions, the students will be able to:▪ Understand the transformation of rural retail from traditional models to organized modern retail;▪ Understand the opportunities and challenges of rural markets with specific reference to automobile products;▪ Identify and evaluate the various distribution channels available for rural markets; and▪ Devise a suitable rural-centric distribution model for automobile products following an appropriate logistics system.

Manan Motors, a dealership of Honda Motorcycle & Scooter India (HMSI) Private Limited in Hathras City of Uttar Pradesh province in India, has been operating successfully for the past two decades. Mr Manoj Bansal, the director at Manan Motors, was primarily targeting the urban markets with 60% dependency on the scooter portfolio of HMSI. But multiple pressures like stringent vehicle emission norms, price rise of two-wheelers and the impact of the pandemic took a toll upon the urban business of Honda Motorcycle and Scooter India Limited and subsequently upon Manan Motors. The sales for HMSI dipped from 15,121 million units in 2020–2021 to 13,466 million units in 2021–2022. Consequently, Bansal decided to alter the business strategy of Manan Motors and shift its focus from the urban to the rural territory of Hathras, where it could foresee demand for entry-level two-wheelers (engine capacity between 75 and 110 cc). Rural markets were developing, so Bansal realized that supplying a low-cost, low-end model to the rural Indian market was an opportunity for his dealership. Bansal’s decision to focus on the rural vertical of its two-wheeler business stirred several questions that floated in his mind. Should they manage distribution on their own, or through some channel members, or should they follow a rural-specific modern retail model?

The case study is designed for use by a postgraduate or executive-level audience for subjects such as sales and distribution management, distribution management and rural marketing. Students will understand the concept of distribution management and associated keywords specific to rural markets. The case study provides an opportunity to discuss and decide how a company can penetrate the rural market and also discusses the opportunities and challenges of rural distribution.

Teaching notes are available for educators only.

CSS 9: Operations and logistics.

The rise of Industry 4.0 led to digitally-enabled evolutionary and radical changes in all branches of the retail industry, resulting in the emergence of the distinct term “Retail 4.0”. Within this paradigm, particular emphasis is placed on forming a balanced system of omnichannel sales and customer service, allowing reaching a synergistic effect in the face of constant changes, turbulence and uncertainty in the business environment. The main objective of this study is to offer and justify a practical strategy for optimal utilization of sales channels and customer service provision within the Retail 4.0 paradigm.

The conceptual argument of the study is based on the review of the literature and illustrative case studies

The decision-making model proposed in this study provides a roadmap for retailers. It underscores the need for a data-driven approach, where decisions are informed by real-time analytics and customer insights. This model also advocates for a flexible yet structured approach to managing various sales channels, ensuring that each channel complements and enhances the other.

The study offers and justifies an original five-stage process model for forming a balanced system of omnichannel sales and customer service.