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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.

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 at understanding how automotive firms integrate customer relationship management (CRM) tools and big data analytics (BDA) into their marketing strategies to enhance total quality management (TQM) after the coronavirus disease (COVID-19).

A qualitative methodology based on a multiple-case study was adopted, involving the collection of 18 interviews with eight leading automotive firms and other companies responsible for their marketing and CRM activities.

Results highlight that, through the adoption of CRM technology, automotive firms have developed best practices that positively impact business performance and TQM, thereby strengthening their digital culture. The challenges in the implementation of CRM and BDA are also discussed.

The study suffers from limitations related to the findings' generalizability due to the restricted number of firms operating in a single industry involved in the sample.

Findings suggest new relational approaches and opportunities for automotive companies deriving from the use of CRM and BDA under an overall customer-oriented approach.

This research analyzes how CRM and BDA improve the marketing and TQM processes in the automotive industry, which is undergoing deep transformation in the current context of digital transformation.

This paper aims to examine how customer participation in new service development (NSD) and customer relationship management (CRM) technology can improve the NSD performance of manufacturing firms. Additionally, the paper examines CRM technology usage to understand how it impacts new service performance both individually and jointly with customer participation in NSD.

This study is a survey of 216 manufacturing managers who are overseeing the development of new services at their organizations. For the analysis, structural equation modeling is used with Amos 22.0. Measures of all latent variables in the analysis pass the traditional tests for reliability, convergent validity and discriminant validity. Furthermore, the results of a common latent factor test for common method variance and Harman’s one-factor test indicate that common method bias is not a source of endogeneity in the model.

Customer participation has a positive effect on NSD performance. CRM technology usage also has a positive effect on NSD performance. The effect of customer participation on NSD performance is enhanced by CRM technology. The results of a post hoc analysis suggest that the usage of CRM technology has the most benefit for managing the technical aspects of customer participation.

This study has methodological limitations that may impact the generalizability of results. For instance, it is based on cross-sectional self-reported survey data, which is more subjective than longitudinal secondary data. Survey research lacks the depth and nuance of qualitative research designs, which are commonly employed to study NSD. In addition, this study focuses on large US manufacturing firms. The authors do not include small firms or international organizations in the sample. Despite these limitations, they believe the findings can provide significant contributions to the NSD literature.

Although prior research has shown that customer participation and CRM technology can individually influence new product development (NPD) performance, the results indicate they are equally effective factors in the development of new services. Furthermore, the authors show that customer participation can be enhanced via the use of CRM technologies. The interaction is more pronounced within the technical aspects of NSD.

This study contributes to the NSD literature, and it also has implications for managers leading NSD efforts in traditional tangible-product industries. The findings provide additional evidence that customer participation is an effective NSD strategy for manufacturing firms (Morgan et al., 2019). Furthermore, CRM technology is integral to NSD performance. CRM technology not only has a direct effect on NSD performance, but the interaction term of customer participation by CRM technology also has a positive effect on NSD performance.

This study aimed to examine the relationship between customer relationship management (CRM)-based library services and head librarians' personal and academic variables. The status of CRM-based library services in the university libraries of Pakistan was also assessed.

A cross-sectional survey research design and quantitative research approach were applied. A structured questionnaire was emailed to the heads librarians of all university libraries recognized by the Higher Education Commission of Pakistan, and the response rate was 74 percent.

The analysis showed that a relationship to CRM-based library services was confirmed by the head librarians' age, academic qualification, professional experience, CRM awareness and training. Moreover, several CRM-based library services such as face-to-face interaction, current awareness services, orientation for new users, coordination through e-mail services, special goodwill to regular users, make telephone calls, complaints/suggestions boxes, online services, provision of a conducive learning environment, user education, selective dissemination of information services, users' participation in the collection and service development, ask a librarian services and users' help desk services were currently being practiced by the university libraries.

This study is a valuable resource for developing user-centered library services and culture. Findings are helpful in enhancing CRM applications in libraries and making their users satisfied and loyal. This study makes a significant contribution to the body of literature and knowledge on library CRM.

Nowadays, businesses globally are scrambling to keep up with the latest trend of adopting Information Technology (IT) tools like electronic customer relationship management (E-CRM). The study aims to examine and describe the impact of information availability, system security and quality on consumer satisfaction and E-CRM efficacy in shopping websites.

Communication in the period of the fourth industrial revolution was performed face to face and via the use of technological communication tools. The growth of information and communication technology (ICT) has compelled businesses to embrace E-CRM to strengthen client relationships and boost profitability, loyalty and satisfaction. E-CRM is implemented to establish communication with customers. So the major goal of the investigation is to look at the function of influencing variables in E-CRM system efficiency in online buying. The present study's statistical population is limitless. The sample size for structural equations is determined to be 384, utilizing the sample measurement technique. A research framework is developed with four hypotheses resulting from previous research to measure the sample. SMART PLS software is used to assess the suggested model and the data received from the questionnaire.

According to the findings, availability of information, information quality and security influence user satisfaction. Therefore, considering the dimensions could be a great step in the improvement of the E-CRM effectiveness. The outcomes also showed that online shopping sites should help customers observe the accordance between the received services and their needs' features.

Despite many efforts to complete the article, the low sample size is one of the limitations of this article. Also, the study has only been evaluated in one country, so generalization of results should be made with caution.

The E-CRM process is a continuous learning process where information about the customer is transformed into a customer relationship. Also, customer satisfaction is the core concern of any system, and such systems must assess customer satisfaction levels by incorporating a procedure. Many research findings show that development managers try to enhance the quality of the relationship with development managers' customers. The study recommends that both designers and managers focus on security, system quality and access to information to boost customer satisfaction.

The research discusses and identifies the key factors that must be considered while providing the solutions of E-CRM. The study helps managers to accelerate E-CRM systems. Also, the paper supports the field of the managers-orientated perspective in E-CRM.

This study aims to examine the antecedents and consequences of strategic online-reputation management among tourism firms. It is proposed that customer relationship management (CRM) is an antecedent of strategic online-reputation management, brand equity is a consequence of strategic online-reputation management and the use of online tools moderates the effect of strategic online-reputation management and CRM on brand equity.

A quantitative empirical study is conducted among online marketing managers of chain hotels. Structural equation modeling (SEM) is used to verify the proposed relationships.

The results show that CRM is an antecedent of strategic online-reputation management, and that strategic online-reputation management and CRM exert a positive effect on brand equity among firms that frequently use a range of online tools. No such effect is found in cases of limited usage of online tools.

Tourism firms seeking to achieve greater brand equity by means of strategic online-reputation management should implement CRM and make extensive use of online tools.

The main contributions of this study are that it analyzes the antecedents and consequences of strategic online-reputation management jointly and empirically; studies the moderating role of the use of online tools in the effect of online strategies – such as online-reputation management and CRM – on brand equity; and studies the consequences of CRM in online media.

本研究探讨旅游公司战略性在线声誉管理的前因和后果。建议 a) 客户关系管理 (CRM) 是战略性在线声誉管理的先决条件, b) 品牌资产是战略性在线声誉管理的结果, c) 在线工具的使用调节战略性在线声誉管理的效果- 品牌资产的声誉管理和 CRM。

本研究对连锁酒店的在线营销经理进行了定量实证研究。结构方程模型 (SEM) 用于验证所提出的关系。

CRM 是战略在线声誉管理的前身, 战略在线声誉管理和 CRM 对经常使用一系列在线工具的公司的品牌资产产生积极影响。在有限使用在线工具的情况下没有发现这种效果。

希望寻求通过战略性在线声誉管理实现更大品牌资产的旅游公司应实施 CRM 并广泛使用在线工具。

本研究的主要贡献在于：(i) 本研究联合实证分析战略性在线声誉管理的前因和后果; (ii) 本研究探讨了使用在线工具对在线战略（例如在线声誉管理和 CRM）对品牌资产的影响的调节作用; (iii) 本研究探讨了 CRM 在在线媒体中的影响。

Big data analytics (BDA) plays a crucial role in understanding customer behavior through Customer Relationship Management (CRM), especially in a rapidly changing business environment. This paper investigates the direct effect of BDA use on market performance, besides the mediating effect through Big Data-enabled CRM strategies adoption (e.g. customization and personalization). The paper also examines the moderating role of competitive intensity in these effects.

Drawing from a knowledge-based view (KBV) and Organizational Information Processing Theory (OIPT), the authors formulated the research model. Subsequently, the measurement model and hypotheses were tested through PLS-SEM on online survey data of 229 managers from 167 companies out of Egypt's top 500.

The results indicated that BDA use does not directly affect the market performance, but this effect was significant through customization and personalization strategies adoption. The results also revealed a positive association between BDA use and the adoption of these strategies. Furthermore, competitive intensity only moderates the relationship between BDA use and personalization strategy adoption.

Companies can use BDA to improve customer knowledge and experience through customization and personalization, leading to better market performance and moving towards becoming a Big Data-driven organization. This study is limited to companies in the Egyptian context, which restricts the generalizability of the results.

This study conceptually and empirically explores how BDA usage, customization and personalization strategies impact market performance under competitive intensity situations, especially in the context of emerging markets.