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This study investigates the effect of total quality management (TQM) on customer satisfaction, personnel satisfaction and company reputation.

The study results rely on a structured survey conducted among an extensive sample of Finnish SMEs. In addition to the examination of the relationship between TQM and company performance in terms of customer satisfaction, personnel satisfaction and company reputation, the study takes a view on the possible effects of the industry, the company size and the certified quality system.

The results reveal that two TQM dimensions, namely Customer Focus and Product Management, were related to companies' customer satisfaction, whereas four TQM dimensions, namely Management/leadership, Customer Focus, Personnel Management and Risk Management, were related to personnel satisfaction. None of the TQM dimensions were related to company reputation. The control variables – the industry, the company size and the certified quality system – were not found to affect customer satisfaction, personnel satisfaction or company reputation.

Most previous studies have been based on traditional TQM classification and have not shown the effects of the latest TQM-related dimensions. Compared to previous studies, this work integrates risk management, digitization, system deployment efficiency and stakeholder management into TQM, which has not been implemented in any previous study. The roles of hard and soft TQM factors have been carefully considered in this study; thus, the study does not place too much emphasis on either direction but provides a balanced picture of the performance of the management systems studied. Although there are studies on the effects of TQM on personnel satisfaction, customer satisfaction and reputation, they are based on a much narrower definition of TQM than that in this study. The business environment is constantly changing, but only a few studies have been conducted to extend the TQM approach. This has led to duplication of studies, and the effects of performance-relevant procedures have not been extensively studied in the past as part of TQM. Therefore, the concept of this study brings significant added value to TQM research and returns the TQM concept to the overall level while considering the requirements of the ISO 9001: 2015 and EFQM 2019 quality standards. The study also considers the effects of ISO 9001 certification and EFQM requirements.

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.

The purpose of this study is to identify the practices used by service providers to manage the customer service experience (CSE) across multiple phases of the customer journey in a business-to-business (B2B) setting.

This study comprises an ethnography that investigates in real time, from a dyadic perspective, and the CSE management practices at two service providers operating in knowledge-intensive service industries over a period of eight months. Analytically, the study concentrates on critical events that occurred in phases of the customer journey that in some way alter CSE, thus making it necessary for service providers to act to keep their customers satisfied.

The study uncovers four types of service provider practices that vary based on the mode of organization (ad hoc or regular) and the mode of engagement (reactive or proactive) and based on whether they restore or bolster CSE, including the recurrence of these practices in the customer journey. These practices are conveniently presented in a circumplex typology of CSE management across five phases in the customer journey.

This paper advances the research in CSE management throughout the customer journey in the B2B context by showing that CSE management is dynamic, recurrent and multifaceted in the sense that it requires different modes of organization and engagement, notably during interaction with customers, in different phases of the customer journey.

The circumplex typology acts as a tool for service providers, helping them to redesign their CSE management practices in ongoing service and dialogical processes to keep their customers more engaged and satisfied.

This paper is the first to infuse a dyadic stance into the ongoing discussion of CSE management practices in B2B, in which studies to date have deployed only provider or customer perspectives. In proposing a microlevel view, the study identifies service providers' CSE management practices in multiple customer journey phases, especially when the situation becomes critical.

Recent literature within public service logic has called for more explicit conceptualisation of customer value in public services. This study aims to fill this gap by examining how the customer value approach can be applied in the management of public health care services.

This study is a qualitative case study of management of public health care services in Finland. The authors interviewed 17 regional health care service developers and analyzed the interview data using thematic analysis.

The study suggests five propositions for applying customer value approach from the marketing literature in public health care service management. The study enables a deeper understanding of customer value creation in this context and improvement of public health care services.

This study contributes to the public management research in general and public service logic research in particular by suggesting what constitutes customer value in public health care services.

The purpose of this paper is to analyse and evaluate the effect of customer experience management (virtual interaction, physical interaction and service interaction) on customer loyalty in the banking industry.

The study followed an explanatory research design to sample 384 respondents. Stepwise regression analysis was used to validate the relevance of the study model.

The results indicated that there is a positive association between customer experience management and customer loyalty. The dimensions of customer experience management, namely virtual interaction, physical interaction and service interaction, were also found to be statistically significant in explaining customer loyalty behaviour.

The study practically influences the way banks and other financial institutions gain competitive advantage through managing the experiences of customers in a volatile business environment. At a time when banks are no longer the only providers of financial services, the study offers a road map to reduce portfolio purchasing and switching behaviour through enhanced experience management at all customer touch points.

The study presents an augmented model of customer experience management which is linked to consumer loyalty.

The proliferation of customer-related data provides companies with numerous service opportunities to create customer value. The purpose of this study is to develop a framework to use this data to provide services.

This study conducted four action research projects on the use of customer-related data for service design with industry and government. Based on these projects, a practical framework was designed, applied, and validated, and was further refined by analyzing relevant service cases and incorporating the service and operations management literature.

The proposed customer process management (CPM) framework suggests steps a service provider can take when providing information to its customers to improve their processes and create more value-in-use by using data related to their processes. The applicability of this framework is illustrated using real examples from the action research projects and relevant literature.

“Using data to advance service” is a critical and timely research topic in the service literature. This study develops an original, specific framework for a company’s use of customer-related data to advance its services and create customer value. Moreover, the four projects with industry and government are early CPM case studies with real data.

This paper aims to recall the attention on a key challenge for customer relationship management related to the role of human agents in the management of the “switch point” for ensuring the effectiveness and efficiency in a customer-machine conversation.

This study contributes to the discussion about the firms’ approach to artificial intelligence (AI) in frontline interactions under the conceptual umbrella provided by knowledge management studies.

This paper provides a theoretical model for clarifying the role of human intelligence (HI) in AI-based frontline interactions by highlighting the relevance of the actors’ subjectivity in the dynamics and perceptions of customer-machine conversations.

An AI-HI complementarity matrix is proposed in spite of the still dominant replacement view.

Effective customer journey design (ECJD) is considered a key variable in customer experience management and an essential source of brand meaning and pro-brand behavior. Although previous research has confirmed its importance for driving brand attitudes and loyalty, the role of consumer-brand identification as a social identity-based influence in this relationship has not yet been discussed. Drawing on construal level and social identity theories, this paper aims to investigate whether effective journeys and the resulting overall journey experience are equally powerful in driving brand loyalty among customers with different levels of consumer-brand identification.

The present article develops and tests a research model using data from the European and US service sectors (N = 1,454) to investigate how and when ECJD affects service brand loyalty.

Across two cultural contexts, four service industries and 33 service brands, the results reveal that ECJD is a crucial driver of service brand loyalty for customers with low consumer-brand identification. Moreover, the findings show that different aspects of journey effectiveness positively impact the valence of customers’ experience related to those journeys – a process that is ultimately decisive for their brand loyalty.

This study is unique because it generates theoretical and practical knowledge by combining the literature streams of customer journey design, customer experience and branding. Furthermore, this work demonstrates that consumer-brand identification is a critical boundary condition to be considered in the relationship between ECJD and brand loyalty in services.

The purpose of this study is to address two issues relevant to those managing product returns: (1) how customers perceive the returning process and assessing the extent that these perceptions have on satisfaction with the organization, loyalty and word-of-mouth (WOM) and (2) are these outcomes moderated by whether customer returns were planned or unplanned?

The data consisted of 21 semi-structured interviews (pilot study) and a quantitative survey (n = 384; main study) targeted at consumers who had bought fashion items online.

Qualitative insights revealed that perceptions of the returning experience are driven by monetary costs, convenience, stress and guilt. Quantitative findings showed that the returning experience explains return satisfaction for both planned and unplanned returners, and returning satisfaction explains overall satisfaction and WOM. The noteworthy difference concerns loyalty: although customers that planned to return items are more loyal to the organization, it is the unplanned returners whose loyalty can be significantly increased by better managing the returning process.

Returning products online is increasingly common and thus forms an important part of the customer's overall experience with an organization. Returns management can therefore drive key customer outcomes. Understanding the dynamics between the product return experience, return satisfaction and customer outcomes will help practitioners design and implement more informed returns management strategies. Measures are also presented that assess the cognitive and emotional aspects associated with returning products.

Returning products is an increasingly important challenge for online retailers. Understanding what kinds of returning behaviors occur allows companies to design and execute better informed decisions to manage this phenomenon, not only for the sake of firm performance but also for societal and environmental benefits – the triple bottom line.

While scholars have investigated the relationship between return policies (e.g. free vs fee) and profitability, no prior literature has examined the returning experience: how consumers perceive the returning process; motivations for their returns (whether returns were planned or not) and subsequent customer outcomes.

This study aimed to examine the digital transformation of business-to-business (B2B) sales and its effects on the management of value-based selling.

The study adopted a qualitative interview research design. A total of two participant groups—one consisting of sales management professionals and the other consisting of buyers—were created to conduct abductive data analysis to gain a new understanding of B2B sales management.

As a result of the digital transformation of sales, companies are shifting B2B sales towards value-based selling using a more proactive, continuous process wherein digital value co-creation activities play a big role. Similarly, their buyers now expect more proactive communication about new value propositions, but social media channels are of little importance to most B2B buyers. The management of digital value co-creation activities should be addressed from the sales ecosystem perspective, where non-sellers tend to have a strong role in communicating new value propositions.

There needs to be further research on digital value co-creation activities in the sales ecosystem, as value-based selling requires that selling organizations focus more on educational digital content marketing and engagement with non-sellers via both marketing and sales activities.

Companies rarely exploit experts and project personnel when implementing digital sales strategies; however, they often meet with customers personally and network with them. This requires a broader perspective on sales management.

This is one of the first studies to explore the management of value-based selling from both seller and buyer perspectives.