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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.

This editorial introduces a special issue of the Journal of Services Marketing, dedicated to papers discussing the effect of the physical context on customer experience. This study aims to identify diverse areas of extant knowledge, upon which researchers might draw when investigating the effect of the physical context on customer experience, to inform future research agendas.

Drawing on available literature, the authors argue that, as prior studies in diverse scholarly fields have explored the physical context, these bodies of knowledge may offer theories and constructs that meaningfully inform explorations of the effect of the physical context on customer experience.

The authors identify five marketing subdisciplines and six nonmarketing disciplines, each offering theories, constructs and perspectives which researchers might draw upon in future studies of the effects of the physical context on customer experience.

The authors develop a novel map which depicts the field of study of the effects of the physical context on customer experience, which scholars might use to inform future research design. In addition, the authors suggest several directions for future research.

In the era of digital disruption and customer loyalty loss, it has become even more important to shape the experience journey of a firm’s stakeholders. The benefits of experience data (XD) analysis for a competitive advantage and firm performance are well proven in the business-to-customer context. Therefore, this study aims to explore the limited exploitation of XD in the business-to-business (B2B) context.

The data of 338 B2B firms is generated through computer-assisted telephone interviewing using a structured interview guideline. A Mann–Whitney U test and binary linear regression are applied to test hypotheses derived from literature.

The results suggest that XD non-collectors see XD increase efficiency, whereas XD collectors view XD strategically beyond customer data. Additionally, the successful application of XD in firms can be fostered by connecting XD with operational data through digitalised processes, strategic usage and data collection at certain defined points of time.

This study contributes to the understanding of XD perception between collectors and non-collectors and develops determinants for the successful application of XD management. Based on the results, B2B marketing executives from academics and practice can foster the implementation of XD management to improve all firm’s stakeholders’ experiences. In this way, this study contributes to the understanding of managing not only customers’ but other stakeholders’ experiences.

The paper aims to identify adoption criteria for “revolutionary” business techniques; based on case material, it invites further research.

Building on the idea of scientific revolution, three cases from sub-disciplines of business administration are chosen to illicit adoption criteria for business techniques.

The analysis shows that a logical response to a problem, the availability of a controllable procedure, the software and the means to apply the procedure easily, and the hardware, jointly seem to explain the adoption of “revolutionary” business technologies.

In case analysis in general, the results do not lead to induction. More research might identify additional success criteria. Furthermore, it might lead to determining adoption probabilities of techniques.

Managers being introduced to new techniques in business administration might use the criteria outlined here for their evaluation.

The author believes that the paper sheds new light on the development of business technologies and that this light might guide developers of technologies to come up with more potentially successful technologies.

Industry 4.0 is characterised by the exponential pace of technological innovations compelling organisations to transform or be displaced. Industry 4.0 transformation of construction enterprises lacks systematic guidance and notable earlier studies have utilised maturity models to map transformation of enterprises. This paper proposes a conceptual maturity model for construction enterprises for business scenarios leading to Industry 4.0.

The requirements for designing maturity models, including comparison with existing models and scientifically documenting the design process, make Systematic Literature Reviews (SLR) appropriate. Two systematic literature reviews (SLRs) are conducted to shortlist a total of 95 papers, which are subjected to subsequent content analysis.

The first SLR identifies the following process categories as critical levers of industry 4.0 maturity; data management, people and culture, leadership and strategy, collaboration and communication, automation, innovation and change management. The second SLR ascertains that the existing maturity models in construction literature do not adequately correspond to Industry 4.0 business scenarios with limited emphasis on data management, automation, change management and innovation. The findings are assimilated to propose a conceptual Smart Modern Construction Enterprise Maturity Model (SMCeMM).

The paper systematises the transformation of construction enterprises in Industry 4.0 and leads to state-of-the-art development of Industry 4.0 and maturity model research in construction. The proposed conceptual model addressed both the demands of the construction industry as well as what is required to navigate Industry 4.0 better.

Within the last two decades, entrepreneurship education has become institutionalized in Germany. It is offered as a stand-alone program or as part of a business degree, combining academic knowledge, practical skills, and personal development to enhance the entrepreneurial success of university graduates. While entrepreneurship education has experienced similar growth worldwide, its emergence in Germany is closely tied to the country’s political and economic developments. The significance of entrepreneurship education for a thriving entrepreneurial ecosystem and contemporary economic policy has been instrumental in advancing its academic recognition. This chapter provides a historical analysis of the academization of entrepreneurship in Germany. It explores the recursive and often idiosyncratic processes involving state and financial institutions, companies, and universities that have created, respecified, and mutually reinforced a subdiscipline and field of study. Academic entrepreneurship knowledge successively not only became relevant for starting a business but also for employment within the entrepreneurial infrastructure and beyond. This chapter follows a chronological order, highlighting three key stages in the academization of entrepreneurship education. First, the academic, financial, and political roots (I) of entrepreneurship up until the 1970s. Second, it explores the transformation (II) of entrepreneurship into a viable policy alternative and the challenges faced in establishing complementary research and education in higher education institutions during the 1980s. Finally, it sketches the institutionalization (III) of entrepreneurship as a central driver of government economic policy, allowing for the late bloom of entrepreneurship education and research at universities around the turn of the millennium.

External stakeholder risks (ESRs) caused by unfavorable behaviors hinder the success of project portfolios (PPs). However, due to complex project dependency and numerous risk causality in PPs, assessing ESRs is difficult. This research aims to solve this problem by developing an ESR-PP two-layer fuzzy Bayesian network (FBN) model.

A two-layer FBN model for evaluating ESRs with risk causality and project dependency is proposed. The directed acyclic graph (DAG) of an ESR-PP network is first constructed, and the conditional probability tables (CPTs) of the two-layer network are further presented. Next, based on the fuzzy Bayesian network, key variables and the impact of ESRs are assessed and analyzed by using GeNIe2.3. Finally, a numerical example is used to demonstrate and verify the application of the proposed model.

The proposed model is a useable and effective approach for ESR assessment while considering risk causality and project dependency in PPs. The impact of ESRs on PP can be calculated to determine whether to control risk, and the most critical and heavily contributing risks and project(s) in the developed model are identified based on this.

This study extends prior research on PP risk in terms of stakeholders. ESRs that have received limited attention in the past are explored from an interaction perspective in the PP domain. A new two-layer FBN model considering risk causality and project dependency is proposed, which can synthesize different dependencies between projects.

This study aims to provide a practical strategy for customer service and salesforce from the basis of behavioral economics. When customers thought they missed a discount but eventually could get the deal, they perceived that they had obtained more value. This research defines such a conversion effect between gain and loss accounts, demonstrates its impact in marketing settings and provides the salesforce a tactic to increase sales and quality of customer service to improve the consumer experience in the social customer journey.

Three experiments were conducted in a behavioral lab and online setting. Participants were randomly assigned to 2 (gain vs loss) × 2 (converted vs simple) between-subjects designs in the first two experiments and 2 (gain vs loss) × 2 (converted vs simple) × 2 (high price vs low price) in the third experiment. Analysis of variance was conducted to analyze the data. Mediation and moderation analyses were also conducted to identify the mediator and moderator in the model.

The conversion between gain and loss mental accounts exists, and the converted gains are more likely to lead consumers to make purchases with a once-lost discount than simple gains. This conversion effect is mediated by consumers’ implemental mindset activated by the conversion and moderated by price.

This research shows that mental accounts of gains and losses can be dynamically converted to one another. It provides a managerial tactic for salesforces and customer service to lead consumers to make a purchase decision right away. This is especially important when they aim to enhance the consumer experience in the social customer journey.

This study aims to provide a comprehensive analysis of the current privacy concerns in the tourism industry by uncovering the key factors leading to such concerns (i.e. smart public services, cyber security issues, consumer behaviour and governance). Using papers from multiple sources, the relationship between technology advancements and tourist’s privacy concerns has been established.

This study adopted a machine learning-based systematic literature review approach to find out the clusters. The study analysed 68 papers using the topic modelling approach. A four-cluster solution was considered to be most representative of the extant literature identified using bibliographic coupling. Finally, content analysis of the selected literature has been performed.

This study identified four factors majorly leading to privacy concerns amid increasing technological advancements. Moreover, these factors were found to have a dyadic relationship with technological advancements. To everyone’s amazement, sustainable tourism was also found to have led to privacy concerns among tourists along with a lack of governance and cyber security issues. Furthermore, cluster-wise future research directions are provided based on the content analysis.

This study contributes to the literature by systematically reviewing and identifying the four dimensions leading to privacy concerns. To the best of the authors’ knowledge, the study done is the only attempt to synthesize the extant literature on tourists’ privacy concerns using an unbiased scientific approach.

本研究对旅游业当前的隐私问题进行了全面分析, 以揭示导致此类担忧的关键因素（即智能公共服务、网络安全问题、消费者行为和治理）。 通过考察来自多方渠道的现有文献, 本研究确立了技术进步与游客隐私问题之间的关系。

本研究采用基于机器学习的系统文献综述方法来找出聚类。 该研究使用主题建模方法分析了 68 篇文章。四聚类解决方案是现有文献中最具代表的 文献分类方法。最后, 本研究对所选文献进行了内容分析。

这项研究确定了在技术进步不断增加的情况下主要导致隐私问题的四个因素。 此外, 这些因素被发现与技术进步有二元关系。 本研究还发现可持续旅游业引发了游客对隐私的担忧以及缺乏治理和网络安全问题。 此外, 通过基于内容的分析, 本研究提供了未来的聚类研究方向。

本研究对现有文献的贡献在于通过系统地文献综述和分析以确定导致隐私问题的四个维度。该研究是基于公正的科学方法综合现有游客隐私问题文献的首度尝试。

Este estudio proporciona un análisis exhaustivo de la actual preocupación por la privacidad en el sector turístico, poniendo al descubierto los factores clave que la generan (los servicios públicos inteligentes, los problemas de ciberseguridad, el comportamiento de los consumidores y la gobernanza). Gracias al uso de artículos de múltiples fuentes, se ha establecido la relación entre los avances tecnológicos y la preocupación de los turistas por la privacidad.

Este estudio adoptó un enfoque de revisión sistemática de la literatura basado en el aprendizaje automático para descubrir los conglomerados. El estudio analizó sesenta y ocho artículos utilizando el enfoque de modelización de temas. Se consideró que una solución de cuatro conglomerados era la más representativa de la literatura existente identificada mediante el acoplamiento bibliográfico. Por último, se realizó un análisis de contenido de la bibliografía seleccionada.

En este estudio se identificaron cuatro factores principales que suscitan inquietud por la privacidad en medio de los crecientes avances tecnológicos. Además, se descubrió que estos factores tienen una relación diádica con dichos avances. Para sorpresa de todos, se halló que el turismo sostenible, junto con la falta de gobernanza y los problemas de ciberseguridad, también suscitan entre los turistas preocupaciones por su privacidad. Finalmente, el análisis de contenido ofrece orientaciones para futuras investigaciones.

Este estudio contribuye a la literatura haciendo una revisión sistemática e identificando las cuatro dimensiones que conducen a la preocupación por la privacidad. Este estudio es el único intento de sintetizar la bibliografía existente sobre la preocupación de los turistas por su privacidad utilizando un enfoque científico imparcial.

The physical filmmaking landscape has been transformed by the emergence of digital platforms that foster interaction and dialogue. The accessibility and affordability of mobile production tools have empowered anyone with a mobile phone to become a media content creator. Accordingly, this paper aims to present a multi-method approach for creating phygital projects that involve people as active participants rather than mere subjects who collaborate with the researchers to tell their stories.

Research participants can embrace diverse roles, serving as co-researchers, content creators, curators and collaborators. The authors use various engagement strategies with the research participants, who are often marginalized or underrepresented, to encourage their participation and give them agency and creative control. Thus, we also use a participatory action research approach to help advocate for the participants’ facial equality concerns.

Collaborative videography embraces the mosaic of voices expressing intricate social issues. In this project, research participants with “facial differences” explain their experiences in facing society.

By experimenting with participatory frameworks and combining physical interactions (such as in-person meetings) with digital platforms like Zoom and social media, the authors suggest a multi-method approach that honors the authentic stories of the research participants, effectively engages the audience and explains how phygital research methodologies can be used in interpretive consumer research, particularly in co-creating films that capture strong visuals.