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This paper addresses the growing fragmentation between traditional and digital service innovation (DSI) research and offers a unifying metatheoretical framework.

Grounded in service-dominant (S-D) logic's service ecosystems perspective, this study builds on an institutional and systemic, rather than product-centric and linear, conceptualization of value creation to offer a unifying framework for (digital) service innovation that applies to both physical and digital service provisions.

This paper questions the commonly perpetuated idea that DSI fundamentally changes the nature of innovation. Instead, it highlights resource liquification—the decoupling of information from the technologies that store, transmit, or process this information—as a distinguishing characteristic of DSI. Liquification, however, does not affect the relational and institutional nature of service innovation, which is always characterized by (1) the emergence of novel outcomes, (2) distributed governance and (3) symbiotic design. Instead, liquification makes these three characteristics more salient.

In presenting a cohesive service innovation framework, this study underscores that all innovation processes are rooted in combinatorial evolution. Here, service-providing actors (re)combine technologies (or more generally, institutions) to adapt their value cocreation practices. This research demonstrates that such (re)combinations exhibit emergence, distributed governance and symbiotic design. While these characteristics may initially seem novel and unique to DSI, it reveals that their fundamental mechanisms are not limited to digital service ecosystems. They are, in fact, integral to service innovation across virtual, physical and blended contexts. The study highlights the importance of exercising caution in assuming that the emergence of novel technologies, including digital technologies, necessitates a concurrent rethinking of the fundamental processes of service innovation.

Due to the limitation of experimental conditions and budget, fatigue data of mechanical components are often scarce in practical engineering, which leads to low reliability of fatigue data and reduces the accuracy of fatigue life prediction. Therefore, this study aims to expand the available fatigue data and verify its reliability, enabling the achievement of life prediction analysis at different stress levels.

First, the principle of fatigue life probability percentiles consistency and the perturbation optimization technique is used to realize the equivalent conversion of small samples fatigue life test data at different stress levels. Meanwhile, checking failure model by fitting the goodness of fit test and proposing a Monte Carlo method based on the data distribution characteristics and a numerical simulation strategy of directional sampling is used to extend equivalent data. Furthermore, the relationship between effective stress and characteristic life is analyzed using a combination of the Weibull distribution and the Stromeyer equation. An iterative sequence is established to obtain predicted life.

The TC4–DT titanium alloy is selected to assess the accuracy and reliability of the proposed method and the results show that predicted life obtained with the proposed method is within the double dispersion band, indicating high accuracy.

The purpose of this study is to provide a reference for the expansion of small sample fatigue test data, verification of data reliability and prediction of fatigue life data. In addition, the proposed method provides a theoretical basis for engineering applications.

This study aims to adopt a systematic review approach to examine the existing literature on law and LLMs.It involves analyzing and synthesizing relevant research papers, reports and scholarly articles that discuss the use of LLMs in the legal domain. The review encompasses various aspects, including an analysis of LLMs, legal natural language processing (NLP), model tuning techniques, data processing strategies and frameworks for addressing the challenges associated with legal question-and-answer (Q&A) systems. Additionally, the study explores potential applications and services that can benefit from the integration of LLMs in the field of intelligent justice.

This paper surveys the state-of-the-art research on law LLMs and their application in the field of intelligent justice. The study aims to identify the challenges associated with developing Q&A systems based on LLMs and explores potential directions for future research and development. The ultimate goal is to contribute to the advancement of intelligent justice by effectively leveraging LLMs.

To effectively apply a law LLM, systematic research on LLM, legal NLP and model adjustment technology is required.

This study contributes to the field of intelligent justice by providing a comprehensive review of the current state of research on law LLMs.

Emergence is a key concept in service-dominant (SD) logic; however, the literature is neonatal on the underlying mechanisms that lead to emergence within service ecosystems. This study aims to address the call by Vargo et al. (2022) for understanding the role of actor engagement in emergence of novel outcomes, by identifying a process of how various actor roles in entrepreneurial ecosystem (EE) emerge as resource through the actor engagement.

Following a longitudinal design, this study conduct interviews from 20 respondents over eight months in three phases (group interviews, post-training, post-funding). This study analyzes the respondents’ engagement in an entrepreneurial service context. This study uses qualitative inductive approach and thematic analysis.

Results show that actor roles emerge as role expectations from essential provider and beneficiary position in a service ecosystem through actor role readiness, manifested as engagement properties in the actor engagement process. This study identifies five actor roles and their corresponding role readiness dimensions that emerge. Based on these propositions through which the authors position generic actor roles emergence within the actor engagement process in a service ecosystem.

This paper advances the understanding of micro-level process in emergence literature in SD logic by providing a conceptual understanding of emergence of actor roles as a resource through actor engagement. By grounding the study in EE, this study provides empirical evidence to the underlying mechanisms at the micro level of resource emergence process in a service ecosystem.

Studies of unicorns and gazelles can offer detailed information about the process of enterprise development but are unrepresentative as examples of entrepreneurial success. In presenting a novel method for outlier analysis, this article combines insights from case studies of unusual organizations with explanatory frameworks that management scholars have applied to broader samples of firms, irrespective of their survival.

The authors illustrate the approach to outlier analysis using a prominent case from economic history: the House of Rothschild, founded during the 18th century, which became the most famous investment bank in Europe. Following the iterative refinement of mechanisms using comparison data on Jewish enclave firms, this analysis sheds light on the sources of dissimilarity in outcomes between Rothschild and the comparison group.

The study results suggest that the House of Rothschild's longevity can be explained via the mechanisms of risk sequencing, intergenerational transfers and spatial brokerage. The authors show that these mechanisms are not idiosyncratic to one enterprise but instead generalize to other family firms.

Outlier analysis encourages a rapprochement between case study and large-N research. The high failure rate of new organizations means that those yielding a large amount of information to researchers tend to be exceptional. By obtaining data on a comparison group of startups founded by similar entrepreneurs, analysts can probe the mechanisms of success identified for unicorns or gazelles.

This study aims to establish a comprehensive understanding of the intricacies of how individuals engage with deepfakes, focusing on limiting adverse effects and capitalizing on their benefits.

This study conducted a meta-synthesis of qualitative studies on deepfakes, incorporating study-specific analysis followed by a cross-study synthesis.

Based on the meta-synthesis, the study developed an integrated conceptual framework based on the perspectives from the social shaping of technology theory embedding deepfake-related assertions, motivations, the subtleties of digital platforms, and deepfake-related repercussions.

The study offers crucial insights into the evolving nature of deepfakes as a socio-technical phenomenon and the significance of platform dynamics in deepfake production. It enables researchers to comprehend the cascading effects of deepfakes and positions them to evaluate deepfake-related risks and associated mitigation mechanisms.

The framework that emerges from the study illustrates the influence of platforms on the evolution of deepfakes and assists platform stakeholders in introducing effective platform governance structures to combat the relentless proliferation of deepfakes and their consequences, as well as providing guidance for governments and policymakers to collaborate with platform leaders to set guardrails for deepfake engagement.

Deepfakes have been extensively contested for both their beneficial and negative applications and have been accused of heralding an imminent epistemic threat that has been downplayed by some quarters. This diversity of viewpoints necessitates a comprehensive understanding of the phenomenon. In responding to this call, this is one of the first to establish a comprehensive, theoretically informed perspective on how individuals produce, process, and engage with deepfakes through a meta-synthesis of qualitative literature on deepfakes.

To meet their ambitious targets for a circular economy, multinationals need to speed up their innovation efforts. This requires experimentation capability. But it is not clear what this capability entails, and how companies can build it. The purpose of this paper is to give companies guidance on how they might develop experimentation capability for the circular economy.

We conduct in-depth interviews with innovators in frontrunner multinationals, H&M, IKEA and Philips. We use the Gioia method to analyse our data.

This article identifies novel institutional, strategic, and operational actions that build experimentation capability for a circular economy.

The identified actions help innovation managers experiment and speed up their innovation efforts for a circular economy.

To reverse environmental degradation, multinationals need to transform their dominant linear take-make-waste business models. This research provides actions that help them organize this transformation.

This article is based on extensive research with leading multinationals and reveals novel insights on how to innovate for a circular economy.

Are major and frequent disruptions transforming global supply chains? This study aims to investigate how multinational companies (MNCs) are responding to the phenomenon of accumulated major disruptions in recent years and plausible new paradigm of unstable conditions and environmental uncertainty from a supply chain resilience (SCRES) perspective.

Following an inductive interpretivist approach based on interpretive phenomenology, this study gathers insights from ten MNCs supply chain managers and international consultants who participated as key informants via semi-structured interviews, sharing their experience of the phenomenon. Additionally, secondary sources such as press releases, media articles and industry reports were used for data collection.

Findings include five categories of recovery actions, i.e. levelling, rationing, buffering, bridging and boundary redefining, key strategic changes in competitive priorities, internal organisation and coordination structures, and a hierarchy between SCRES characteristics, integrated in an empirically derived conceptual framework connecting these constructs. This contributes to middle-range theories within SCRES body of knowledge. The authors also identify a set of areas for future SCRES research.

Findings can support MNCs’ supply chain professionals in designing and managing resilient global supply chains, based on learnings from the recent highly disruptive environment, particularly, regarding recovery actions and resilience-building strategic changes contributing to agility and robustness in global supply chains.

Non-positivist interpretive and inductive works are scarce in SCRES research. By adopting this novel approach for this field, the authors broadened the categorisation of responses used in previous works and identified prominent strategic changes and SCRES characteristics and relations among constructs, thus bringing conceptual clarity to SCRES research within the context of the study.

Problems such as information asymmetry and a lack of trust among construction practitioners damage the quality and progress of construction projects. The decentralization, transparency, traceability and temper-proof nature of blockchain technology (BCT) can provide solutions and facilitate multiparty cooperation. However, BCT acceptance in the construction industry is relatively low, and there are few pilot projects adopting BCT. Most relevant literature focuses on BCT acceptance at the industry and organizational levels, but the impact of non-managerial practitioners executing BCT or the traditional approach in day-to-day work tends to be disregarded. This study aims to establish a theoretical model of BCT acceptance, identify key influencing factors and paths of behavioral intention to adopt BCT and promote strategies to enhance BCT adoption.

A new BCT acceptance model for construction practitioners was proposed. A survey was performed with 203 construction practitioners in Shenzhen, China and post-survey interviews were conducted with four BCT experts for validation. Covariance-based structural equation modeling was used to examine the influence paths and moderating effect analysis was performed to check practitioners’ differential perceptions.

Performance expectancy, social influence, facilitating conditions and perceived behavioral control significantly and positively influence behavioral intention to accept BCT, while impacts from effort performance and risk are negative. Overcoming obstacles related to the effort required for BCT adoption and effective risk management will be essential to unlocking BCT’s transformative potential. Then, the moderating effects of respondents’ gender, degree and BCT knowledge as well as the project type involved were analyzed. Continued adoption of BCT in the construction industry has the potential to revolutionize project management, transparency and trust among stakeholders.

The findings of this research can help practitioners and government agencies understand crucial influencing factors and pathways of BCT acceptance. Targeted measures, such as increasing practitioners’ benefits and sense of BCT usefulness, conducting pilot projects and increasing publicity, were proposed for project leadership teams to enhance BCT adoption. This may lead to increased efficiency, reduced disputes and more streamlined and secure construction processes, ultimately enhancing the industry’s overall performance.

Few studies have explored BCT acceptance from the perspective of non-managerial construction practitioners. The BCT acceptance model proposed in this study is a novel adaptation of previous technology acceptance models, with new factors (risk and perceived behavioral control) and moderating variables (degree, BCT knowledge and project type) added for better understanding of non-managerial practitioners’ perceptions and differences.

This study aims to investigate the role of institutional and stakeholder interaction in the development of integrated reporting policy by the International Integrated Reporting Council (IIRC). It helps advance the theory of integrated reporting and offers insights into its fundamental concepts and relevant issues.

A flexible pattern-matching qualitative research approach is used and an analytical framework of integrated reporting historical foundations and conceptual background is developed. An IIRC case analysis is conducted by using a chronological content analysis of the International Integrated Reporting Framework and related initiatives and publications for integrated reporting policy pronouncements.

Institutional and stakeholder pressures within both the organization’s macro and micro contexts have played an effective role in transforming corporate reporting practices. In an integrated reporting context, institutional forces of normative and mimetic isomorphism seem to have more influence on organizations than coercive pressures, where stakeholder pressures with limited official power derive influence from their legitimacy while urgency is evidently implied. Findings indicate that integrated reporting policy has emerged analogously with the institutional environment and stakeholders’ expectations. The distinct nature of integrated reporting has caused a paradigm shift from silo thinking of wealth creation to integrated thinking of value creation.

This is an exploratory study that does not consider different prominent integrated reporting models. It has important implications for policymakers in articulating the integration of financial and nonfinancial metrics for reporting overall corporate performance. It can help academics build on integrated reporting foundations for conducting future research and assist practitioners in operationalizing integrated reporting policy into practice. Moreover, it has potential prospects for international business in developing integrated reporting policies and strategies aimed at creating mutual value in specific international contexts.

Integrated reporting represents a new internationally developing reporting trend with distinct reporting features and foundations for value creation. The study provides considerable addition to emerging research into the growing awareness of integrated reporting policy, develops a conceptual model of institutional and stakeholder interaction and theorizes on such interplay, identifies the potential influences under which integrated reporting is likely to occur and offers key insights into integrated reporting policy. Hence, it contributes to the ongoing global challenge of promoting the reporting transition to integrated reporting and its perceived future endorsement.