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This study aims to introduce and prove the existence of negative rivalry in use, which should be an integral part of goods taxonomy, from the perspective of knowledge sharing and further present the critical role of knowledge sharing in the digital economy era by reviewing the literature, theoretical analysis and real-world cases. It also aims to open a new door for re-recognizing knowledge sharing through an interdisciplinary framework.

This study proves the existence of negative rivalry through both theoretical analysis (4-E model) and real-world cases, especially the cases of Tesla and ChatGPT, and puts up new reasons for knowledge sharing in the era of digital economy through interdisciplinary methods.

The authors find out that there are many new phenomena beyond the spectrum of current goods taxonomy, especially beyond the priori understanding of rivalry in use. Digital platforms such as ChatGPT should have been “used up” in no time, for they have attracted so massive users according to (positive) rivalry in use, or should have been unchanged at most according to non-rivalry in use. But what we see is their rapid upgrading with the help of billions of users. The reason is that negative rivalry in use has completely been neglected. The authors find out that the process of knowledge sharing unveils the unrecognized attribute of rivalry in use, i.e. negative rivalry in use, which serves as the fundamental driving force of the breathtaking growth of all kinds of digital platforms.

This study originally put up a 4-E model of goods’ rivalry in use, the brand new term, i.e. negative rivalry in use, and proves its existence and working mechanism from the perspective of knowledge sharing. With the introduction of negative rivalry in use, the traditional four-type goods classification model is extended into a six-type model, which may be a sound marginal contribution, to the best of the authors’ knowledge. The study may reshape people’s mindsets on goods usage, especially knowledge management, into a more open-sharing model because it shows that there is very likely a positive-sum game instead of a zero- or negative-sum game for shared knowledge per se and its platform in the process of knowledge sharing in the era of digital economy.

The authors revisit the notion of co-production, highlight more critical and re-politicized forms of co-production and introduce three principles for its operationalization. The paper’s viewpoint aims to find entry points for enabling more equitable disaster research and actions via co-production.

The authors draw insights from the authors’ reflections as climate and disaster researchers and literature on knowledge politics in the context of disaster and climate change, especially within critical disaster studies and feminist political ecology.

Disaster studies can better contribute to disaster risk reduction via political co-production and situating local and Indigenous knowledge at the center through three principles, i.e. ensuring knowledge plurality, surfacing norms and assumptions in knowledge production and driving actions that tackle existing knowledge (and broader sociopolitical) structures.

The authors draw out three principles to enable the political function of co-production based on firsthand experiences of working with local and Indigenous peoples and insights from a diverse set of co-production, feminist political ecology and critical disaster studies literature. Future research can observe how it can utilize these principles in its respective contexts.

The e-services market is expected to reach nearly $500bn globally by 2028. As this marketplace grows, customer-to-customer interactions (CCIs) occurring through virtual channels will likely increase. Consequently, the purpose of this research is to examine how the context in which CCI’s occur (i.e. virtual vs in-person) and the frequency of their occurrence affects customer identification, leading to increased customer engagement and more favorable purchase behaviors.

Two studies were conducted to test the proposed models and hypotheses. The sample for Study 1 is comprised of college students taking in-person or online classes (n = 290). In Study 2, members of an online brand community (n = 125) were surveyed. Hypotheses were tested using structural equation modeling (SEM).

Overall, results support a mediation effect such that CCI context (virtual vs in-person) affects customer engagement and purchase behaviors via customer identification. Specifically, Study 1 finds that customer engagement behaviors (CEBs) are greater for in-person CCIs due to the frequency of interactions and heightened identification between customers. Study 2 further examines the CCI frequency-identification link and finds that customer-firm identification is the only form of identification that affects CEBs and purchase behaviors.

Limited customer engagement research has examined the effects of CCIs on CEBs, and research has rarely compared in-person to virtual CCI contexts. This paper addresses these shortcomings by testing the effects of in-person and virtual CCIs on CCI frequency, identification and CEBs. This research fills another important gap in the literature by considering the unique effects of specific dimensions of customer identification on CEBs and purchase behaviors.

The purpose of this study is to assess how higher education anchor institutions (HEIs) voluntarily report their non-economic impacts. Its goals are to quantify the ease of public access to this information; strengthen the conceptual foundation for HEI impact reporting; and provide guidance for making HEI voluntary disclosures more accessible, comparable and systematic.

Using an exploratory mixed methods design and purposeful sampling, this study analyzed voluntary public disclosures of 41 anchor institution universities in the USA to assess how they communicate their public value creation to stakeholders. Data sources included impact reports, donor reports, annual reports and sustainability reports. The study also analyzed the accessibility of this information by timing how long it took to locate.

The sampled US anchor institutions communicate their non-economic impact to stakeholders in myriad ways using a variety of formats. Time required to find the reports ranged from 37 to 50 min, with an average of 42.30 min. Disparate reporting formats inhibit comparability.

Only 41 anchor institutions were examined. The small sample may not be representative of the broader landscape of higher education institutions.

Findings offer guidance for improving voluntary nonfinancial disclosures to increase public confidence in higher education institutions while advancing community and global resilience. To strengthen voluntary disclosure practices, the study recommends using a standardized reporting format, framing HEI impact through socio-ecological resilience indicators, integrating reports and obtaining some form of assurance. These changes would enhance the credibility and comparability of the disclosures.

This research provides some of the first empirical insight into how US higher education anchor institutions report their value creation to the public. Its application of socio-ecological systems theory outlines an actionable conceptual foundation for HEI reporting by linking organizational, community and global resilience.

In this article, we outline our views on the appropriateness and utility of Return on Investment (ROI) for the evaluation of the value of healthcare quality improvement (QI) programmes.

Our recent research explored the ROI concept and became the genesis of our viewpoint. We reflect on our findings from an extensive research project on the concept of ROI, involving a multidisciplinary global systematic literature review, a qualitative and Delphi study with mental healthcare leaders from the United Kingdom National Health Service. Research participants included board members, clinical directors and QI leaders. Our findings led to our conclusions and interpretation of ROI against the broad QI governance. We discuss our views against the predominant governance frameworks and wider literature.

ROI is in-line with top-down control governance frameworks based in politics and economics. However, there is evidence that to be of better utility, a tool for the assessment of the value of QI benefits must include comprehensive benefits that reflect broad monetary and non-monetary benefits. This is in-line with bottom-up and collaborative governance approaches. ROI has several challenges that may limit it as a QI governance tool. This is supported by wider literature on ROI, QI as well as modern governance theories and models. As such, we question whether ROI is the appropriate tool for QI governance. A more pragmatic governance framework that accommodates various healthcare objectives is advised.

This article highlights some of the challenges in adopting ROI as a QI governance tool. We signal a need for the exploration of a suitable QI governance approach. Particularly, are healthcare leaders to be perceived as “agents”, “stewards” or both. The evidence from our research and wider literature indicates that both are crucial. Better QI governance through an appropriate value assessment tool could improve clarity on QI value, and thus investment allocation decision-making. Constructive discussion about the utility and appropriateness of ROI in the evaluation of healthcare QI programmes may help safeguard investment in effective and efficient health systems.

The article raises awareness of QI governance and encourages discussions about the challenges of using ROI as a tool for healthcare QI governance.

Quality improvement has developed and spread, and today, all Swedish Regions emphasize that their strategies are based on systematic improvement. This paper aims to describe and illuminate the development of Quality Improvement (QI) in Swedish healthcare and welfare organizations by using publications in a Swedish context.

The overview synthesis is inspired by a scoping literature review approach of relevant literature. All publications relevant to Swedish healthcare and welfare settings between 1992 until 2020 were included.

In all, 213 papers, 29 books and chapters and 34 dissertations related to QI and research in Swedish healthcare and welfare context were identified. From 2011 to 2020, the publication rate increased rapidly. Six different focus areas emerged: systematic and value-creating improvement work; collaboration between organizations and healthcare providers; use of improvement methods and (theoretical) models; leadership and learning; measurements, quality registers and follow-up; and involvement and patient safety. Further QI development in Swedish healthcare and welfare points to an increased importance of collaboration between organizations and coproduction with beneficiaries for the healthcare and welfare services.

This paper is one of the first to describe and illuminate the QI development in the healthcare and welfare sector in a country. The trajectory also points to a need for coproduction to handle future challenges.

The aim of this study is twofold: (1) to gain insight into the different perspectives on the relationship between patient and person centeredness and (2) to learn more about the differences between non-academic and academic stakeholders in the healthcare system.

This mixed-methods study includes a scoping review on person and patient centeredness and in-depth interviews with patients, caregivers, staff and management of healthcare organizations. The data were analyzed by following the six phases of Braun and Clarke.

The analysis of the data showed four different perspectives on patient versus person centeredness: (1) they are synonyms; (2) one term is favorite; (3) they should be in balance; and (4) person centeredness is the surplus on top of patient centeredness.

There are different perspectives on patient versus person centeredness. Perspectives differ between people and can change over time. Some people feel like a patient all the time, other people feel like a person all the time, and some feel like a patient at one point in time and as a person at another point in time.

These different perspectives can have important implications for the so-called moments of truth. In their role as patients, people value functional encounters and in their identity as people they value meaningful encounters with caregivers.

By unraveling these different perspectives, novel insights were found in the different perspectives people can take.

The purpose of this study is to reveal the research trends in guest experiences of service robots in the hospitality industry.

In this study, a review was carried out on the Web of Science (WoS) database with the assistance of bibliometric analysis techniques. Cluster analysis was also employed for this to group important data to determine the relationships and to visualize the areas in which the studies are concentrated. The thematic content analysis method was used to reveal on which customer experiences and on which methods the focuses were.

On the subject of experiences of service robots, the greatest number of publications was in 2021. In terms of country, China has come to the fore in the distribution of publications. As a result of thematic content analysis, it was determined that the leading factor was the main dimension of emotional experience. In terms of sub-dimensions, social interactions attracted more attention. Most of the studies discussed were not based on any theory. Apart from these, the Technology Acceptance Model (TAM), the Service Quality Model (SERVQUAL) and Perceived Value Theory (PVT) were featured more prominently among other studies.

In this study, only the WoS database was reviewed. In future studies, it would be possible to make contextual comparisons by scanning other databases. In addition to quantitative research designs, social dimensions may be examined in depth following qualitative research methods. Thus, various comparisons can be made on the subject with mixed-method research designs. Experimental research designs can also be applied to where customers have experienced human-robot interactions (HRIs).

In the hospitality industry, it is critical to uncover every dimension of guests' robot acceptance. This study, which presents the current situation on this basis, guides future projections for the development of guest experiences regarding service robots in the hospitality industry.

Vision, audition, olfactory, tactile and taste are five important senses that human uses to interact with the real world. As facing more and more complex environments, a sensing system is essential for intelligent robots with various types of sensors. To mimic human-like abilities, sensors similar to human perception capabilities are indispensable. However, most research only concentrated on analyzing literature on single-modal sensors and their robotics application.

This study presents a systematic review of five bioinspired senses, especially considering a brief introduction of multimodal sensing applications and predicting current trends and future directions of this field, which may have continuous enlightenments.

This review shows that bioinspired sensors can enable robots to better understand the environment, and multiple sensor combinations can support the robot’s ability to behave intelligently.

The review starts with a brief survey of the biological sensing mechanisms of the five senses, which are followed by their bioinspired electronic counterparts. Their applications in the robots are then reviewed as another emphasis, covering the main application scopes of localization and navigation, objection identification, dexterous manipulation, compliant interaction and so on. Finally, the trends, difficulties and challenges of this research were discussed to help guide future research on intelligent robot sensors.

This paper aims to bridge the extended reality framework and the luxury hospitality literature by providing insights into how immersive technologies using artificial intelligence (AI) can shape luxury value and consumer differentiation.

The authors conducted three experimental studies comparing immersive AI versus traditional hospitality across luxury contexts (hotels, restaurants and spas). Study 1 investigates the effect of immersive AI (vs traditional hospitality) on customers’ behavioral intentions and the need for differentiation using virtual-assisted reality. Study 2 tests the underlying mechanism of the need for differentiation and luxury value in an augmented reality context. Study 3 provides additional support for the proposed underlying mechanism using virtual-assisted reality in luxury hospitality.

The findings reveal that immersive AI (vs traditional) luxury hospitality reduces customers’ behavioral intentions of using such services and perceived luxury value. Moreover, the findings indicate that the intention to use immersive AI (vs traditional) luxury hospitality services is contingent upon customers’ need for differentiation.

The findings have important theoretical and managerial implications for immersive technologies in luxury hospitality. They shed light on the dynamics between integrating immersive AI into luxury hospitality and its impact on customers’ differentiation motives and perceived luxury value. The findings reveal the detrimental effect of using immersive AI (vs traditional hospitality) within this context.