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From a firm-centric perspective, this study aims to elaborate on the types of servitisation strategies that can support a firm’s circular ambitions by asking: What is the role of servitisation in narrowing, slowing and/or closing resource loops? And, how are resources and capabilities arranged to provide such strategic circular service offerings?

Drawing on the experiences of an international manufacturing company from a dynamic capabilities perspective, the study offers an analytical framework that goes inside the firm’s operationalisation of its service offerings to support circularity in terms of the strategic decisions made. This framework is later used to frame the findings.

The study highlights the case-specific feedback loops and capabilities needed to support circular transitions. Various resource and innovation strategies for circularity are combined along customer interfaces and in partnership with upstream actors. Yet, open innovation strategies are conditioned by physical distance to provide circular services in remote areas.

The main contributions are empirical, analytical, conceptual and practical. The servitisation framework for circularity connects prior servitisation-circularity research and provides an analytical tool for framing future studies. The study also expands the definition of open innovation in that closed innovations for circularity can be achieved through “open” information exchange in knowledge networks, as well as provides advice for similar large manufacturing companies.

This study focuses on the strategic choices made by industrial firms for circular service provision and emphasises the environmental benefits from such choices, in addition to the economic and customer benefits covered in extant servitisation research.

The purpose of this study was to develop a model for the digital transformation of university libraries based on meta-synthesis.

The approach of this research was qualitative and used the Sandelowski and Barroso’s (2007) seven-step meta-synthesis method to systematically review the literature. The statistical population of the research includes all the scientific publications related to the foundations and dimensions of the digital transformation of university libraries, counting the scientific publications retrieved from six scientific databases in the period from 2004 to 2022, and was based on the critical appraisal skills programme and a screening process.

Based on the retrieved publications, 32 documents were selected for further review and analysis. First, a separate code was considered for all the factors extracted from the selected documents, and then, considering the concept of each of the codes, they were categorized into a similar concept. In this way, the research concepts were determined. Based on the analysis done with the help of the content analysis method, there are a total of seven main categories and 24 concepts, including digital culture (including: digital attitude, user-oriented, agility, participation and cooperation, creativity and innovation and learning digital skills of employees), digital librarian (containing: individual competence, knowledge competence, communication competence and skill competence), digital manager (comprising: individual competence, knowledge competence, skill competence), digital services and resources (including, optimally reorganizing library resources, providing digital services to users and providing digital services to the mother organization), digital technologies (containing: digital infrastructure, technological readiness and using digital technologies), support and cooperation of upstream institutions and the mother organization (dealing with: providing human resources, providing technological resources and equipment and making macro policies) and work process and development of digital strategies (comprising: digitalization of processes and development of library digital strategies).

Digital transformation is a complex and multi-faceted process, yet it is an indispensable endeavour for university libraries, and managers and librarians cannot be expected to be familiar with these concepts without training or study and then be able to move in the right direction towards the digital transformation of libraries. To the best of the authors’ knowledge, this is the first study to develop a model for the digital transformation of university libraries. The results of this research indicate the effective factors and requirements needed for the digital transformation of university libraries and address the importance of understanding the concepts for managers and librarians.

Digitalization and supply chain collaboration are central to the successful servitization of manufacturing firms. However, how digitalization interacts with supply chain structure to affect servitization decisions in manufacturing firms has been understudied. In this study, we bridge resource dependence theory (RDT) and information processing theory (IPT) to examine how supply chain concentration interacts with digitalization to affect servitization decisions in manufacturing firms.

We tested the hypotheses using a panel dataset of 1,261 publicly listed machinery manufacturing firms in China. We addressed the endogeneity concerns using the control function approach and conducted multiple tests to ensure the robustness of the results.

We find that both supplier and customer concentration are negatively related to servitization, indicating that concentrated supplier and customer bases are hindrances to manufacturing servitization. Digitalization weakens the negative impact of customer concentration on servitization, but it strengthens the negative impact of supplier concentration on servitization.

The findings extend our understanding of supply chain structure and digitalization as determinants of servitization. This research also offers a nuanced view of how digitalization mitigates the negative impacts of supply chain concentration.

This study aims to apply the predictive processing theory to examine the influence of artificial intelligence (AI)-driven robotic performers on audience emotions and the audience’s resulting electronic word-of-mouth (eWOM) behaviors during tourism service encounters.

Using a quantitative research methodology, survey responses from 339 regular customers of performing arts in tourism destinations were analyzed. The respondents were recruited through Prolific, a professional data collection platform. SPSS 23.0 was used for the preliminary analysis, from which a research model to achieve the aim was proposed. SmartPLS 3 was used for partial least squares structural equation modeling to test the model.

Interactive and novel robotic performances significantly encouraged the consumers to share their experiences online, thereby enhancing eWOM. However, melodic resonance had no significant impact on eWOM intentions. The consumers’ emotional responses fully mediated the relationship of the novelty and interactivity of the performances to the consumers’ eWOM intentions but did not mediate the relationship of the musical elements to their eWOM intentions.

This study enriches the understanding of how AI-driven performances impact consumers’ emotional engagement and sharing behaviors. It extends the application of the predictive processing theory to the domain of consumer behavior, offering valuable insights for enhancing audience engagement in performances through technological innovation.

本研究旨在运用预测处理理论, 考察人工智能（AI）驱动的机器人表演对观众情感及其在旅游服务接触中的电子口碑（eWOM）行为的影响。。

采用定量研究方法, 分析了339名经常观看旅游景点表演艺术的常客的调查问卷。受访者通过专业数据收集平台Prolific招募。初步分析使用SPSS 23.0进行, 从中提出了实现研究目标的研究模型。使用SmartPLS 3进行偏最小二乘结构方程模型测试该模型。

互动性和新颖性的机器人表演显著鼓励消费者在线分享他们的体验, 从而增强电子口碑。然而, 旋律共鸣对电子口碑意图没有显著影响。消费者的情感反应完全中介了表演的新颖性和互动性与消费者电子口碑意图之间的关系, 但没有中介音乐元素与电子口碑意图之间的关系。

本研究丰富了对AI驱动表演如何影响消费者情感参与和分享行为的理解。将预测处理理论的应用扩展到消费者行为领域, 为通过技术创新增强观众参与度提供了宝贵的见解。

This paper aims to contribute to the management control systems (MCS) changes in public-private partnerships (PPSs) by developing a conceptual archetype explaining the relationship between trust and MCSs in PPPs, and highlighting how this relationship may evolve over time.

The paper adopts a longitudinal case study methodology focusing on a hospital built and operated under a project finance deal. The methods adopted include semistructured interviews, direct observation and internal documentation analysis. We conducted 15 semistructured interviews from 2019 to 2021. In analyzing different documents and interviews, we triangulated data to ensure solid interpretation.

The case shows how trust can take different configurations depending on the type of MCS used. The results highlight how different patterns of MCSs, about trust, can be combined to govern PPPs. The case also shows the temporal dynamics of how MCS and trust evolve at different organizational levels and how bureaucratic control matched with contractual trust and trust-based control matched with competence trust can coexist at different times and organizational levels.

Managers involved in PPPs will be aware of the role of different types of trust in shaping and managing the relationship between partners at different organizational levels. Furthermore, the findings could help policymakers to adopt more informed decisions and to promote practice-based trust at various organizational levels of PPPs.

The paper proposes a management control archetype based on bureaucracy- and trust-based patterns concerning the level of programmability of tasks, as well as defined risks.

This study addresses the gap in understanding text analytics within the service domain, focusing on new service development to provide insights into key research themes and trends in text analytics approaches to service development. It explores the benefits and challenges of implementing these approaches and identifies potential research opportunities for future service development. Importantly, this study offers insights to assist service providers to make data-driven decisions for developing new services and optimising existing ones.

This research introduces the hybrid thematic analysis with a systematic literature review (SLR-TA). It delves into the various aspects of text analytics in service development by analysing 124 research papers published from 2012 to 2023. This approach not only identifies key practical applications but also evaluates the benefits and difficulties of applying text analytics in this domain, thereby ensuring the reliability and validity of the findings.

The study highlights an increasing focus on text analytics within the service industry over the examined period. Using the SLR-TA approach, it identifies eight themes in previous studies and finds that “Service Quality” had the most research interest, comprising 42% of studies, while there was less emphasis on designing new services. The study categorises research into four types: Case, Concept, Tools and Implementation, with case studies comprising 68% of the total.

This study is groundbreaking in conducting a thorough and systematic analysis of a broad collection of articles. It provides a comprehensive view of text analytics approaches in the service sector, particularly in developing new services and service innovation. This study lays out distinct guidelines for future research and offers valuable insights to foster research recommendations.

This chapter reviews some of the technical background relating to the designs of digital infrastructures for financial services. Such technical background could be useful to the understanding of the design choices that the central banks and pertinent regulators face when developing or promoting open digital infrastructures for financial services. First, the chapter reviews modularity and interoperability in the design of digital infrastructure. The chapter then examines three broad architectural models of open digital infrastructures: decentralized, centralized and distributed. The chapter ends with some lessons learnt from the different architectural models that have been implemented in practice.

Archival institutions must make their holdings and services known to the public to ensure increased usage. It is the obligation of archival institutions to adopt strategies to market their services to increase the usage of their holdings. Therefore, this study aims to assess the National Archives of Zimbabwe’s (NAZ) decentralisation drive as a strategy to market its archival services.

The multiple case study research design, which is interpretive and qualitative, was used for the study. The study used interviews, questionnaires and document review as data collection tools. The collected data were presented, analysed and discussed using the thematic data analysis approach.

Findings revealed that the NAZ decentralised provincial records centres were actively involved in the marketing of archival services offered by the NAZ. The study also established that the decentralised provincial records centres perform activities such as records surveys, training, oral history, issuance of brochures, guided tours and career guidance, which increase their interactions with communities they serve. The decentralised offices took advantage of these interactions to market archival services offered by the NAZ.

The study illustrated that decentralisation of archival institutions and services to the lower tiers of government is a powerful strategy for the marketing of archival services. Therefore, there is need for archival institutions to adopt or enhance the use of this strategy to increase the usage of archives.

Blockchain is the fastest-growing technology currently being used in the aviation industry, especially in aviation maintenance, repair and overhaul (MRO) services. This study aims to create an analytic framework to assess the main factors and subfactors that have significantly influence the blockchain used in aviation MRO services. A mixed-methods approach is used to gain a comprehensive understanding of how blockchain is being adopted in aircraft maintenance facilities, Semi-structured interviews and questionnaires are used to gather data. The questionnaire is focused on the present state of the MRO industry.

Based on the literature review, a framework including four factors and 12 subfactors is developed, and the analytic hierarchy process (AHP) is then established. This study explores how these factors influence the implementation of blockchain in aviation MRO services. The five aviation MRO services providers in Taiwan, namely, “Evergreen Aviation Technologies Corporation,” “Taiwan Aircraft Maintenance and Engineering Co., Ltd.,” “Air Asia Company Ltd.,” “Aerospace Industrial Development Corp.” and “GE Evergreen Engine Services Corporation” are considered; furthermore, 55 experts working in these organizations were invited to evaluate the relative importance criteria in the AHP framework.

The results indicate that “inventory management” is the most important criterion, followed by “provisioning, procurement and sales” and “maintenance planning.” In addition, the three most important subfactors are “parts interchangeability,” “customer stock” and “SPEC2K interface for ATA SPEC 2000.”

Asia is ranked as the second most important aviation MRO service market in the world. Taiwan has the shortest flight hours in the western Pacific region, the seven major foreign cities in this area. Aviation MRO service providers located in Taiwan are the best choices for aircraft MRO in the Asia-Pacific region, indicating that Taiwan serves as a promising market development evaluation model for blockchain aviation MRO services. The results offer a comprehensive overview of the relative importance of different criteria for MRO services that use blockchains. In addition, the findings present the market potential for key players in the aviation industry, including aircraft engineers, airline companies, aircraft component manufacturers and aviation MRO service providers.

Co-creation of services (CCOS) is a collaborative strategy that emphasises customer involvement and their expertise to increase the value of the service experience. In the service ecosystem, artificial intelligence (AI) plays a key role in value co-creation. Therefore, this study is undertaken to empirically uncover how AI can empower CCOS.

The source data were collected from 305 service provider respondents and quantitative methodology was applied for data analysis.

New service development augmented with AI provides tangible value to service providers while also providing intangible value to supportive customers. With AI, service providers adapt to new innovations and enrich additional information, which eventually outperforms human-created services.

AI adoption for CCOS empowerment in service businesses brings “service-market fit”, which represents the significant benefits wherein customers contribute to creativity, intuition, and contextual awareness of services, and AI contributes to large-scale service-related analysis by handling volumes of data, service personalisation, and more time to focus on challenging problems of the market.

This study presents theoretical concepts on AI-empowered CCOS, AI technological innovativeness, customer participation in human-AI interaction, AI-powered customer expertise, and perceived benefits in CCOS, and subsequently discusses the CCOS empowerment framework. Then, it proposes a novel conceptual model based on the theoretical concepts and empirically measures and validates the intention to adopt AI for CCOS empowerment. Overall, the study contributes to novel insight on empowering service co-creation with AI.