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Notes that to be effectively implemented, quality management has to be aligned with strategy and properly co‐ordinated. Develops a systems framework entitled congruence management business architecture. Notes that under this architecture an activity is the core entity for change and that every quality or related initiative will change, eliminate or create activities. Considers various quality management mechanisms under this architecture and considers various barriers. Suggests that the congruence management framework can help make quality management more effective.

The purpose of this paper is to propose a research model exploring the link between open innovation, customer knowledge management and radical innovation. It seeks to answer these research questions: is there any difference among the effects of different types of open innovation activities on radical innovation? How does the organizational learning ability influence the impact of customer knowledge management on radical innovation?

The paper is based on the data collected from a sample of 165 modern service enterprises located in the Yangtze River Delta region. The authors conducted a structural equation modeling analysis using SPSS and MPLUS to test the proposed hypotheses.

The results showed that different kinds of open innovation activities had different impacts on the path to radical innovation. Inbound open innovation activities directly influenced radical innovation while the effect of outbound open innovation activities on radical innovation combined with the organizational exploitative learning ability is indirect. Similarly, the empirical results also proved that customer knowledge management had an indirect effect on radical innovation through the organizational learning ability, and the influence of the exploratory learning ability was more prominent.

Under the background of the national innovation driven by the development strategy, this paper studies the impact mechanism of radical innovation from the perspectives of open innovation and customer knowledge management. Therefore, it is suggested that the enterprise should adopt open innovation activities to foster innovation performance, formulate a customer-oriented innovation strategy and invest information and communication technologies to enhance the organizational learning ability of the enterprise.

The purpose of this paper is to examine the relationship between operational risk management and customer complaints. It also determines whether product complexity moderates the relationship between the operational risk management and customer complaints.

This study utilizes a quantitative method: quantitative data were collected using a questionnaire. The population of this study is 1,845 local conventional bank branches based in Malaysia.

The findings revealed that components of operational risk management, namely practice of hazard identification and formulation of implementation of risk control, have negative and significant relationships with customer complaints. Empirical evidence confirmed the moderating effects of product complexity on the relationship between operational risk management and customer complaints.

From the perspective of developing countries, the main contribution of this study is the elucidation of the effect of operational risk management on customer complaints in commercial banks in Malaysia. This study confirmed the usability of the resource-based view theory in the banking industry, as well as operational risk management as a bank resource.

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 last two decades have seen a surge of interest in the concept of value in business markets. Furthermore, extant literature suggests that value capture can be conceptualized as the return on the firm's customer assets. However, the existing customer asset management literature has a strong bias towards consumer markets. Thus, the purpose of this paper is to create a conceptual framework for managing customer assets for improved value capture in a business market context, and to illustrate the use of the framework empirically.

The authors approach the topic with conceptual development and a longitudinal case illustration from a globally operating forestry product firm.

The findings of the study indicate that B2B firms can increase their value capture by dividing their customer base into customer portfolios, which are managed with differentiated customer management concepts targeted to increase the economic profit contribution of each customer portfolio.

The business practitioners in B2B contexts are likely to find the proposed customer portfolio approach to managing the customer assets more approachable than the prevailing customer lifetime models. In order to gain maximum value capture benefits from portfolio-specific customer management concepts, they should be approached cross-functionally instead of limiting them to the domains of marketing and sales.

The study contributes to literature on value capture and customer asset management by providing a framework for managing customer assets for increased value capture that is applicable to business markets and circumvents the majority of challenges associated with the customer lifetime value models.

The purpose of this paper is to empirically investigate how big data collected from social media contribute to knowledge management practices, innovation processes and business performance.

The study used 418 questionnaires collected from firms that actively invest in marketing, advertising and communication in the Italian market. The hypotheses testing and analysis were conducted using structural equation modeling.

The results reveal that customers’ data gathered from social media produce different effects on knowledge management practices and firms’ innovation capacity. Furthermore, increased innovation capacity turned out to affect customer relationship performance directly, while it contributes to gain better financial performance only when it is used to gain relational outcomes.

The outcomes of the study help firms to develop a clear understanding about which big data retrieved from social media can be useful to improve their knowledge management practices and enhance their innovation capacity. Moreover, by investigating the mediating role of big data knowledge management in the context of social media knowledge acquisition and innovation capacity, this study also extends the mediation variables used to understand the relationship between knowledge capabilities and practices and innovation constructs.

This study aims to identify the organizational antecedents of intra‐organizational customer knowledge dissemination in the context of key account management (KAM).

The data were collected from large industrial companies in Finland by means of a structured survey. Linear hierarchical regression analysis was used to test the hypotheses.

The findings of the study show that esprit de corps among employees and the formalization of key account management facilitate customer knowledge dissemination in industrial key account organizations. Moreover, the findings show that the intra‐organizational dissemination of customer knowledge is positively related to the supplier's KAM performance and dissemination fully mediates the relationship between esprit de corps and KAM performance.

The study contributes to research on key account management in providing quantitative empirical evidence about the antecedents and consequences of the intra‐organizational dissemination of key account‐related knowledge.

Building on previous research on customer knowledge management, market orientation and key account management, the study identifies customer‐specific knowledge dissemination as an intra‐organizational determinant of the successful management of industrial key account relationships.

Customer knowledge is an important asset for all businesses. The rhetoric of e‐business emphasises the opportunities for knowing customers in the digital economy. This article sets the context with a brief summary of the key characteristics of the knowledge management paradigm. This is used as a platform for the themes that form the core of this article: defining the knowledge that the organisation requires; knowledge tools and the relationships between data, information and knowledge; the role of customer communities in CKM; bounding and structuring organisational knowledge communities; ownership of knowledge assets; integrating customer knowledge across channels; and comparing customer knowledge management with customer relationship management. The overarching message of the article is that customer knowledge management is not just about data. Organisations need to develop strategies that enable them to capitalise on the dynamic integration of systems and people.

This special “Anbar Abstracts” issue of the Journal of Business & Industrial Marketing is split into seven sections covering abstracts under the following headings: Marketing strategy; Customer service; Sales management; Promotion; Product management; Marketing research/customer behavior; Sundry.

Despite increasing attentions to sustainable service supply chain management (SSSCM), a framework for performance evaluation of sustainable service only supply chain management (SSOSCM) is still missing. This paper tries to fill this gap and provides a novel conceptual framework.

The articles related to SSSCM are fetched from the databases of SCOPUS and Web of Science. Analysis of 174 articles identified by the systematic literature review is further carried out.

This research identifies the sustainable practices for service only supply chain (SOSC) as environmental management, social management, economic management, customer management, health, safety and risk management, technical sustainability, institutional sustainability, information and technology management as well as two performance measurement criteria as operational performance and organizational performance. This paper provides a novel conceptual framework for the performance evaluation of SSOSCM. The results call for future exploration in the following three broad directions-(1) customer's perception, involvement and their behaviour towards sustainability in SOSC context; (2) trade-off, incentive mechanism and multilevel evaluation for achieving sustainability in SOSC and (3) sustainability in SOSC from various point of views.

The managers can use the framework to assess the performance of the organization while researchers can explore the discussed research gaps.

This is the first paper that provides a novel conceptual framework for the performance evaluation of SSOSCM as well as potential future research directions.