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During the last year the Netherlands Institute for Documentation and Filing (N.I.D.E.R.) was reorganized. The new statutes permit specialized sections to be established; the constantly growing Classification Committee will, therefore, become a section of NIDER.

The papers in this issue were given at the 25th Annual Conference, held at Bristol University from 22nd to 25th September, 1950. Some 230 delegates from the British Isles, the Commonwealth and Europe were welcomed to dinner on Friday evening by Sir Philip Morris, C.B.E., M.A., Vice‐Chancellor of the University, and Lady Morris. No papers were given on Friday evening, Mr. J. E. Wright arranging an informal dance after dinner.

Aarhus Kommunes Biblioteker (Teknisk Bibliotek), Ingerslevs Plads 7, Aarhus, Denmark. Representative: V. NEDERGAARD PEDERSEN (Librarian).

Customer experience management (CXM), which aims to achieve and maintain customers' long-term loyalty, has attracted the attention of many organizations. Improving customer experience management in organizations requires that, first, their relevant capabilities be evaluated. The present study aimed to offer a set of key performance indicators for evaluating customer experience management in commercial banks.

The study, first, attempted to identify the components of evaluating customer experience management by reviewing the related literature and conducting interviews with experts. Then, the extracted components were transformed into assessable metrics using the goal question metric method, and the key performance indicators relevant to customer experience management in commercial banks were selected according to the experts' opinions and the Fuzzy Delphi method.

According to the findings of the study, 21 key performance indicators were identified for customer experience management in commercial banks, and customer satisfaction, the mean number of calls to resolve an issue in customer journey touchpoints, the NPS, and the ratio of the budget allocated to the CXM department to the budget of the marketing department were found as the most significant performance indicator according to banking experts.

The present study was among the first research projects intended to evaluate CXM and offer key performance indicators that could help the managers of commercial banks assess the maturity levels of their CXM.

Creating an extraordinary and memorable customer experience is the goal of every company seeking to be a market leader. This amplifies the need for customer experience management (CEM), particularly in customer-centric industries. Despite the indispensable importance of CEM, studies conducted within this area have been scattered and no agreement has been reached upon its stages. Therefore, this paper aims to identify the main stages and steps for effective and efficient CEM in the hotel industry.

Considering the variety of approaches in the literature and also the need to explain CEM stages in the hotel industry, a systematic literature review (SLR) has been picked as the first research methodology. It entailed a systematic review of 116 academic and professional studies. Then, the framework was completed by interviewing 19 experts.

With SLR and complementary interviews, this study obtains a four-stage framework for CEM in the hotel industry, each comprising necessary steps. These four stages are customer identification, customer experience design, customer experience implementation and customer experience measurement, which are all executed through organizational factors such as culture, structure, leadership, human resources and technology.

This study identifies CEM stages in the hotel industry via SLR and interviews. Due to dispersion in customer experience studies, the need for research on CEM in another service- and customer-based industries is apparent.

The suggested framework can help hotel managers enhance the management of their customers’ experience and deliver a superior and memorable experience.

The current study aims to add value to the literature by presenting a framework of CEM in the hotel industry. Through a systematic literature review and interviewing experts, a framework of CEM stages and steps was identified. The proposed framework allows for improving future CEM studies.

Artificial intelligence (AI) is shifting the way of how customers interact with organisations by blending both physical and digital environments, thereby creating a new paradigm of customer-organisation relationship. The new relationship boundary driven by AI principally challenges as well as creates opportunities for relationship marketing theories and practices. The main objective of this chapter is to present a framework named ‘physical-digital space’ to demonstrate how AI can merge the physical and digital world. To broaden the understanding, this chapter uses the lens of customer experience in relationship marketing. The framework extends the existing understanding and provides managerial implications on how an organisation can develop strategies so that a customer consciously or subconsciously develops a positive relationship with the organisation.

The authors analyze the relationship between different consumer attitudinal variables and a number of variables related to consumer perception of the store and purchasing behavior, in assortments composed exclusively of private labels (PLs).

The authors developed an experiment based on an online survey to test the hypotheses formulated. The model’s causal relationships are established using structural equations.

The image of stores that only offer their own brand is mainly configured by price consciousness and the attitude toward the private label. The private label purchase intention is strongly influenced by the store image and a favorable attitude toward the brand, and loyalty strategies should be aimed at securing a clear perception of providing real value.

For retailers who only offer their own brands, an assortment with price-competitive PLs is key to the strategy of differentiating them from other retailers. It is reasonable to assume that, if retailers have a favorable image, customers transfer this brand value to their PLs and trust them. Customer loyalty strategies of these retailers should be aimed at ensuring that consumers clearly perceive that their assortment provides real value and that, although it is limited in terms of number of brands, it can meet all their needs.

This research represents a significant contribution to brand management literature because, includes, together with loyalty to the store, its image and the PL purchase intention as consumer response variables. Another differentiating feature is the methodology used. Estimation of the structural equation model permits the simultaneous estimation of the relationships between the variables.

Analizamos la relación entre diferentes variables actitudinales de los consumidores y un número de variables relativas a la percepción de los consumidores con respecto al establecimiento y el comportamiento de compra, todo ello en surtidos compuestos exclusivamente por marcas de distribuidor.

Desarrollamos un experimento online, basado en una encuesta, para testar las hipótesis planteadas. Utilizamos ecuaciones estructurales para determiner las relaciones causales del modelo.

La imagen de los establecimientos que ofrecen exclusivamente su propia marca se configura, principalmente, por la conciencia de precio y por la actitud de los consumidores hacia la marca privada. La intención de compra de la marca de distribuidor está fuertemente influenciada por la imagen del establecimiento y por una actitud favorable hacia dicha marca, por lo que las estrategias de fidelización de clientes deberían estar orientadas a asegurar una clara percepción de proporcionar valor real a los consumidores.

Para los minoristas que ofertan exclusivamente sus propias marcas, un surtido con marcas de distribuidor muy competitivas en precio es fundamental en su estrategia de diferenciación de sus competidores. Además, es razonable suponer que si los minoristas cuentan con una imagen favorable, los consumidores trasladarán este valor de marca a sus propias marcas propias y confiarán en ellas. Las estrategias de fidelización de este tipo de minoristas deberían ir enfocadas a asegurarse de que los consumidores perciben claramente el valor real que aporta su surtido y que, aunque limitado en términos de número de marcas y alternativas, les permite cubrir todas sus necesidades.

Esta investigación supone una significativa contribución a la literatura sobre gestión de marcas al incluir, conjuntamente con la lealtad al establecimiento, su imagen y la intención de compra de la marca de distribuidor como variables respuesta del consumidor. Otro elemento diferenciador es la metodología empleada, ya que la estimación del modelo de ecuaciones estructurales permite la estimación simultánea de las relaciones entre las distintas variables.

This study has two main objectives. First, to examine the indirect effects of digital platform capability and digital resilience on digital transformation (DT) outcomes for small- and medium-sized enterprises (SMEs), and second, to investigate how digital business model maturity influences these indirect effects.

The study adopts a quantitative design and collects data through a self-reporting survey from individuals in the technological industries. The Partial Least Squares-Structural Equation Modelling (PLS-SEM) and PLS multi-group analysis examine the measurement and structural models and the significance of differences in indirect paths based on the digital business model maturity level, serving as a moderator.

The findings of this study provide valuable insights into the internationalisation of digital SMEs. They indicate that digital platform capability and resilience fully mediate, connecting digital resources to SME growth. The study also confirms the digital business model maturity’s positive and significant moderating effect on these indirect relationships.

This research contributes to the existing literature by focusing on the international outcomes of platform ecosystems in developing markets. It explores how digital platform capability and resilience support the digital transformation of SMEs, considering their vulnerability due to their small size. The study also fills a research gap by investigating the relationship between big data, digital leadership and the international growth of digital platforms. Lastly, it explores the role of digital maturity in the relationships between antecedents, determinants and outcomes of digitalisation.

Today, the rapid development and expansion of advanced technologies have created many changes in society and industry and motivate businesses to use digital transformation strategy (DTS) to create significant changes in the business environment. Therefore, it is necessary to define a roadmap and a vision that will determine the steps forward in this direction. In line with this, the purpose of this study is a comprehensive review of past and present studies in this field to identify future research guidelines and gaps related to the implementation of this concept.

This study is a bibliometric analysis using VOSviewer software for all documents published in the Scopus database in the field of DTS from 2011 (the emergence of Industry 4.0) to 2021. It should also be noted that the data for this study have been collected and analyzed in September 2021.

The current study presents the basic bibliometric results for DTS, and it focuses on DTS performance analysis and its science mapping during the past 10 years. This study first shows the publication process, types and languages of published documents, and the most influential authors, institutions, sources and countries in terms of publishing documents and receiving citations in the field of DTS. Then, by using the VOSviewer software, it shows the bibliographic coupling of top authors, institutions, sources and countries. Finally, it reports the co-occurrence of authors’ frequently occurring keywords and the timeline of their publications.

The study presents the results of the first attempt to conduct a comprehensive bibliometric analysis of DTS-related documents. Its contribution lies in the fact that it has categorized the most frequently co-occurring keywords into specific clusters so that researchers will know which keywords have co-occurred with each other the most. Also, the most influential keywords in each cluster in terms of having total link strength and the number of its co-occurrence with others were identified. Finally, it became clear that the process of publishing documents over time has been concentrated on topics such as acceptance of digital culture, strategic renewal and digital transformation of business models, as well as presentation of a research agenda on the applications and barriers of DTS in critical situations such as COVID-19, which leads researchers to some awareness and insights for conducting new research.

As social media applications have turned into popular platforms for interacting with customers, creation of a consistent customer experience in social commerce has attracted the attention of many practitioners and academics. The migration to create and manage customer experience in social commerce has become an essential issue that will bring new challenges for companies. Despite the increasing investment in this area, few studies have been conducted on the challenges of managing customer experience in social commerce. To fill this theoretical gap, the current study aims at comprehensively exploring the main challenges of customer experience management (CEM) in social commerce and investigating their importance and possible effects in relation to each other.

Using the mixed method, first, the main challenges regarding CEM in social commerce were identified by reviewing the related literature. Then the challenges were enriched and categorized by expert opinions. Next, the challenges and the categorizations were confirmed by conducting a survey analysis applying the t-test and the factor analysis method. Afterwards, the main challenges were identified and weighted. Finally, the Social Network Analysis (SNA) approach was applied to investigate the causal relationship network among the challenges.

The results indicated that the main challenges of CEM in social commerce can be categorized into eight groups. Their weights and causal effects were calculated to identify the high priority challenges. By calculating the main SNA metrics such as degree and betweenness centralities, the high priority challenges of CEM in social commerce were identified. It was revealed that challenges with high out-degree centrality can create many other challenges and those with high betweenness centrality act as intermediary points, through which cause challenges may create effect challenges.

The research results can help marketers to get a big picture of the challenges to successfully implement CEM in social commerce and select the appropriate migration strategies more effectively. They are further recommended to pay due attention to customers' issues as well as the organizational challenges of CEM in social commerce.

Social media has become a priority for businesses to create and improve the customer experience; yet there is no tool to identify the challenges of CEM in this context. This study addresses the overlooked but critically important area of social commerce. The most important contribution of this research is an attempt to provide a comprehensive and integrated framework of the challenges in implementing CEM in social commerce and explore the causal effects they may have on creation of other challenges using SNA.