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This paper aims at advancing research on the identification and the first test of the primary steps companies follow to generate and maintain enablers of long-term marketing relationships in cross-cultural business. To achieve the objective, the authors first identify the communication difficulties in generating and maintaining long-term relationships in bi-cultural or multi-cultural settings. They then develop the building blocks, or enablers, that are needed to form and maintain enduring relationships. They finally illustrate the suggested process by describing the use of enablers in two contrasting cultures, the Anglo-Saxon and the Latin, using samples from the United States and Chile, respectively.

This study examines how chatbots could improve the client experience in the banking sector. Due to their quick and effective customer service, chatbots are becoming more and more popular, but it is still unknown whether they can improve the customer experience. In order to gather data from a simple random sample of Palestinian banking clients in the Gaza Strip, a survey was conducted utilizing the explanatory technique. To test hypotheses, data collected from 337 individuals was evaluated using simple regression analysis. According to the results, chatbots may enhance the customer experience by offering 24/7 availability, prompt support, and customized replies. However, issues with data privacy, lack of human interaction, and chatbot accuracy were also noted. The study comes to the conclusion that chatbots may be an effective tool for increasing customer experience in the banking sector, but their design, deployment, and interaction with current customer service channels must be carefully considered. This study significantly adds to the body of knowledge on chatbots and their potential influence on customer experience. The study offers useful insights into the particular difficulties and potential of employing chatbots in a highly regulated and customer-focused industry by concentrating exclusively on the banking sector. The results show that chatbot implementation in banking needs to be approached thoughtfully and strategically to maximize their potential for improving customer experience while limiting any possible downsides.

Companies in all industries are searching for new sources of competitive advantage since the competition in their marketplace is becoming increasingly intensive. The resource-based view of the firm explains the sources of sustainable competitive advantages. From a resource-based view perspective, relational based assets (i.e., the assets resulting from firm contacts in the marketplace) enable competitive advantage. The relational based assets examined in this work are brand image and corporate reputation, as components of brand equity, and customer value. This paper explores how they create value. Despite the relatively large amount of literature describing the benefits of firms in having strong brand equity and delivering customer value, no research validated the linkage of brand equity components, brand image, and corporate reputation, simultaneously in the customer value–customer loyalty chain. This work presents a model of testing these relationships in consumer goods, in a business-to-business context. The results demonstrate the differential roles of brand image and corporate reputation on perceived quality, customer value, and customer loyalty. Brand image influences the perception of quality of the products and the additional services, whereas corporate reputation actions beyond brand image, estimating the customer value and customer loyalty. The effects of corporate reputation are also validated on different samples. The results demonstrate the importance of managing brand equity facets, brand image, and corporate reputation since their differential impacts on perceived quality, customer value, and customer loyalty. The results also demonstrate that companies should not limit to invest only in brand image. Maintaining and enhancing corporate reputation can have a stronger impact on customer value and customer loyalty, and can create differential competitive advantage.

This chapter introduces the KontoSensor, a digital service offered by Deutsche Bank since September 2018, as an example of data processing using predictive analytics. We present the motivation behind this digital service, the use cases and methods currently implemented, the way they have been created, and measures to increase the usage of the KontoSensor. With KontoSensor, Deutsche Bank offers a digital service to its clients to analyze their transactions on their current accounts using methods from predictive analytics and to inform them when irregularities are found. Twelve months after the start, 90,000 clients are already using this service and experiencing the results of data science firsthand.

Being resilient is often equated with the capability to return to a state of normalcy after individuals and organisations face unprecedented challenges. This chapter questions the notion of ‘normalcy’ in complex and ongoing turbulence as experienced variously in diverse cultural and sectoral contexts. In theorising organisational resilience and associated transformation, it draws on insights provided by a microfinance institution (MFI) operating in the Philippines. The chapter details its efforts to transform business in light of experience gained in frequent and overlapping emergency conditions (including COVID-19) to create a new level of resilience in its clients and itself. For clients, the goal is often to self-manage loss associated with socio-economic development and for the organisation, to stabilise and cordon the investment needed to support clients survive and move on from the relatively constant adverse impacts of disasters. Published accounts of such experience and insights provided by board members and the President illustrate the nature of transformational resiliency strategies planned, including changes to the business model around provision of micro-insurance services and strategic adaptation of digital services aligned with the organisation's mission. A model of ‘practical resiliency in emergency conditions’ details the culture of resiliency adopted, demonstrating how stakeholders gain confidence and opportunity to practice resilient behaviours in emergency contexts. It highlights the significance of cultural consistency across purpose, values and capability to create an adequate level of trust and certainty across stakeholders to support transformational resiliency behaviours in shifting and dynamic ecosystems.