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Efforts made in extant literature to link the components of customer relationship management (CRM) strategy to its implementation are insufficient. This paper aims to provide insights on the core components of CRM and the implementation of CRM strategy.

A case study of CRM implementation at a large Swedish firm was carried out using open‐ended, face‐to‐face and telephone interview methods to collect data from key informants at both strategic and operative levels. The empirical studies focused on technical and cognitive aspects necessary for successful implementation of a sustainable CRM strategy.

Results show that relationships are not only a tactical weapon, but represent a different, strategic approach to buyer‐seller exchange. Findings also show that implementing sustainable CRM strategy requires the endorsement by and commitment from top management, systematic cross‐functional communication, and mandatory customer loyalty training programmes for all employees.

Attempts made in extant literature to define CRM have been varied. A theoretical model on which future empirical analysis should be based when conceptualizing CRM should consist of a business strategy, a business philosophy and a database application, thereby forming a tripod.

CRM is a strategic business and process issue, not merely a technology solution as most often conceived in practice. The CRM process is a continuous learning process where information about individual customer is transformed into a customer relationship.

A process‐oriented integrative framework that facilitate successful implementation of a sustainable CRM strategy. It links components of CRM strategy with the key dimension of its implementation. The depth of the anchorage of this paper in the body of literature is a contribution.

The versatility of customer relationship management (CRM) systems has kept these technologies popular over the years. These solutions have been integrated into organizations of all sizes, from large corporations to small- and medium-sized enterprises. Similarly, CRM systems have also found applications in all types of industries and business sectors. All this has been the driving force behind the proliferation of CRM solutions around the world. In this chapter, the author not only reflects on the impact and democratization of CRM systems on business management and marketing strategies but also explores how these technologies can determine the company's income. In particular, the author presents an experiment that analyzes the extent to which the volume of annual investment in CRM solutions can be used to predict annual net income in a sample of companies. Using time series analysis and applying the autoregressive integrated moving average modeling technique, the researcher examines a sample of 10 companies from different industries, and countries, over a 20-year period. The results show the efficiency of the predictive models developed in nine of the 10 companies analyzed. The findings of this study allow us to conclude that there seems to be an association between the investments made in CRM solutions and the income of the companies that invest in these technologies.

A paradigm shift was observed a couple of decades back when the relationship marketing took over the transactional marketing. Concepts such as customer lifetime value came into existence. Customer lifetime value is nothing but the aggregate income which an organisation can expect from a customer as long as the customer remains a client. Customer Relationship Management (CRM) took the centre stage as the organisations are transformed into customer-centric organisations. The implementation of CRM earmarked the collection of customer data that enabled the personalisation of products. Business use cases emerged with differential pricing models and loyalty programs contributing to the profitability of the organisations. The different types of CRM, i.e. Strategic CRM, Operational CRM, Analytical CRM and Collaborative CRM, contributed further to the organisation to generate value for the customers as well as for the organisation. Innovations in the digital technologies supported the business use cases with the help of real-time data. The usage of real-time analytics delivered unmatched customer experience resulting in a higher degree of customer satisfaction and customer retention. Customer retention as we know is directly related to the longevity of an organisation, while customer acquisition is expensive. Researchers in this chapter have attempted to unleash the importance of CRM simultaneously presenting the impact of digital technologies on CRM. Readers could be greatly benefitted from this research as practical use cases are discussed, while academicians can cascade this information further.

This chapter investigates the effect of customer orientation and CRM organization on hotel financial performance. A model of enhancing hotel financial performance through customer satisfaction practices was tested. Customer satisfaction was hypothesized to be a mediator in the relationships between customer orientation and CRM organization and the result being financial performance. The sample consisted of 54 hotels that was made up of three 5-star, fifteen 4-star, and thirty-six 3-star hotels in Ghana. A quantitative deductive approach was employed to gather data using cross-sectional survey, which was analyzed using PLS-SEM to check the validity, reliability and factor loading of the data. The findings revealed that, CRM organization enhances customer satisfaction and financial performance of hotels. Also, customer orientation showed significant positively related to customer satisfaction in the hotels. Surprisingly, the effects of CRM organization and customer orientation on financial performance through customer satisfaction were insignificant. Thus, customer satisfaction failed to mediate the effect of CRM organization and customer orientation on the financial performance of hotels. This suggests that though an effective CRM organization enhances customer satisfaction, it directly affects the financial performance of hotels. The outcomes have useful implications for CRM implementation on hotel financial performance in Ghana.

The issue is which third-party logistics to engage, and escalating customer complaints about service quality of third-party logistics (3PL) enhances the tendency of online retailers to switch to another 3PL. The current study seeks to investigate the factors influencing the satisfaction and switching intention of 3PL services among online sellers in Malaysia.

Applying a purposive sampling method, data were gathered via an online survey among online sellers. Initially, the system gathered 418 respondents, but only 311 were useable for further analysis. Since we operationalised the measures as composites, a combination of reflective and formative measurement in the study and the study focuses on explanatory and predictive purposes, partial least squares structural equation modelling with SmartPLS 4 was applied to test the model developed.

The results indicated that conflict handling had a positive effect on satisfaction, and satisfaction had a negative relationship with the switching intention of 3PL among the online retailers. Moreover, satisfaction and customer relationship management sequentially mediated conflict handling and switching intention, whereas CRM strengthens the negative relationship between satisfaction and switching intention.

The respondents only limit to the online sellers in Malaysia which based on purposive sampling method, thus the findings cannot be generalised to another countries.

The study offers insightful information for the managers of the 3PL in crafting a better policy to avoid switching behaviour among their customers. The conflict between customers and providers is unavoidable since consumers have unlimited demand and businesses have limited resources. The findings also benefit online sellers and 3PL service providers to create attractive marketing strategies for business sustainability.

The study developed a new model for the 3PL studies using the S-O-R model in introducing conflict handling and customer relationship management as the stimulus, customer's satisfaction as an organism and switching intention as a response. The study introduced single and sequential mediators also contributes to the S-O-R theory to predict the switching intention among the online sellers towards the 3PL providers. Another important contribution, customer relationship management, was confirmed to play a moderating role to influence the relationship between satisfaction and switching intention.

The research empirically examines the role of artificial intelligence (AI) integrated with social customer relationship management (SCRM) in multinational enterprises (MNEs) towards international relationship management under social distancing conditions due to the COVID-19 pandemic.

The study initially undertakes pertinently focused theoretical research in the fields of international marketing, knowledge management, and customer relationship management. And, utilizing the theories of resource-based view (RBV) and dynamic capability view (DCV) theory, the study develops a theoretical model that is subsequently empirically validated through a survey and structural equation modeling.

The study highlights the importance and means of adopting AI-integrated social CRM by MNEs, in the context of international relationship management, under the Covid-19 social distancing conditions. The study more specifically elucidates the role and significance of MNE leadership approach and support towards the adoption of AI-integrated social CRM systems and, ultimately, performance improvement of MNEs under such conditions.

The study presents insights and prescriptive explications on a topic at the heart of state-of the-art technology-based international marketing in the explicit context of the primary business-defining environment of the Covid-19 pandemic. The research provides practicable suggestions to MNEs' leadership towards the adoption of an AI-integrated social CRM system. And the study presents a unique model for international relationship management under social distancing conditions, potentially applicable during other crises.

The research is original and on a ‘fresh’ topic that combines the latest technological advancements in business (AI-integrated CRM) with the present critical business context (pandemic). The research develops a tested theoretical model that (a) is unique in its field; (b) provides a solid foundation for further research; (c) bears generic value and application during other-than-Covid-19 conditions; and (d) enhances the understanding of important fields of international marketing, including international customer relationship management and global knowledge management.

This paper aims to debate the technology-driven transformation of customer relationship management (CRM) into social CRM, which entails a shift from a transactional and automational solution to a customer experience management philosophy, reflecting high levels of customer empowerment.

A literature review provides a critical analysis of the concept, tenets, aims and implementation approaches of social CRM. Arguments are summarised by developing a process-based framework for implementing social CRM.

By adopting a value co-creation approach that recognises the technology-fostered customer empowerment, the social CRM highlights the need to immigrate from relationship management to relationship stewardship. In this vein, social CRM implementation should support and foster dialogue facilitation and customer engagement in co-creating customer experiences. To achieve these, five approaches for implementing social CRM are proposed: collecting, analysing and interpreting customer insight; monitoring and improving the performance of CRM; developing holistic and seamless personalised customer experiences; gamifying CRM and loyalty programmes; and nurturing community relationship management.

The five approaches to social CRM implementation are identified and validated based on current industry practices, theoretical arguments and anecdotal evidence of professionals’ perceptions about their outcomes. Future research is required to collect hard evidence showing the business and customer impacts of these approaches.

Social CRM immigrates relationship management from a transactional to a customer experience mindset that treats customers as co-creators of value and demands the tourism and hospitality firms to exploit the affordances of information and communication technologies to collect and analyse customer data for better understanding the customer; develop customer touch points that do not only aim to sell but also primarily aim to enhance the customer interactions and experiences; consider and treat the customers and the customer communities as co-creators, brand ambassadors and stewards of relations; and motivate and enable customer participation into value co-creation processes for developing customer experiences and building relationships.

Research in social CRM is emerging, but it mainly focusses on defining its scope and identifying the functionality and adoption of social CRM technology. The paper contributes to the literature by proposing five specific approaches and a process framework for implementing social CRM. Various directions for future research are also provided.

The words in the CRM (Customer Relationship Management) have become short‐hand buzz words for describing how firms foster a 360‐degree review of the customer lifecycle. The primary goal of this study is to provide a synopsis of innovative CRM concepts that can assist entrepreneurial small firms develop a process to effectively communicate with their customers, such as an e‐newsletter and CD‐ROM direct mail campaign. A practitioner‐oriented model is developed that depicts the CRM process of using multiple communication channels, building loyalty, establishing customer retention tactics, and changing service offers to foster the customer experience.

Due to the recent development of Big Data and artificial intelligence (AI) technology solutions in customer relationship management (CRM), this paper provides a systematic overview of the field, thus unveiling gaps and providing promising paths for future research.

A total of 212 peer-reviewed articles published between 1989 and 2020 were extracted from the Scopus database, and 2 bibliometric techniques were used: bibliographic coupling and keywords’ co-occurrence.

Outcomes of the bibliometric analysis enabled the authors to identify three main subfields of the AI literature within the CRM domain (Big Data and CRM as a database, AI and machine learning techniques applied to CRM activities and strategic management of AI–CRM integrations) and capture promising paths for future development for each of these subfields. This study also develops a three-step conceptual model for AI implementation in CRM, which can support, on one hand, scholars in further deepening the knowledge in this field and, on the other hand, managers in planning an appropriate and coherent strategy.

To the best of the authors’ knowledge, this study is the first to systematise and discuss the literature regarding the relationship between AI and CRM based on bibliometric analysis. Thus, both academics and practitioners can benefit from the study, as it unveils recent important directions in CRM management research and practices.