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The main objective of this study is to identify the variables influencing consumers' perceptions of sustainable purchasing intentions and the effects such perceptions have on actual sustainable purchasing behavior. This paper aims to develop an understanding of the postmillennial generation's consumption of sustainable products.

A structured questionnaire was used to collect data for quantitative analysis. It involved sampling a total of 251 respondents, which were postmillennials belonging to the twin cities of Pakistan. A series of tests were applied through Smart PLS4 for all the variables, including descriptive statistics and structural equation modeling.

The results revealed that there is a significant relationship of social value and electronic word of mouth with digital media usage (DMU). Whereas, link of functional and emotional value with DMU was insignificant. The results also portrayed that there exists a positive link between DMU and sustainable consumption behavior (SCB). Moreover, green purchase intention moderated the relationship between DMU and SCB.

There exists a research gap on the role of postmillennial behavioral regulation and digital media use, as potential influences on their purchase behavior. Despite the fact that digital media has been shown to influence millennials' purchasing decisions in the past, there is still a reluctance among postmillennials to engage in environmentally friendly practices. Consequently, research is necessary to comprehend sustainable consumer behaviors; especially from an unaddressed Pakistani perspective.

This study aims to address the following research questions: (1) What are the theoretical frameworks and areas of study that influence the development of service ecosystems? and (2) To what extent does a service ecosystem align with the theoretical concepts presented in other research contexts within the study areas, thereby transforming the fundamental structure of the core concept?

We conducted a bibliometric systematic literature review, analyzing 280 papers from a sample of 52 journals listed in the Association of Business Schools (ABS). The review covered the period between 2004 and 2022, and we utilized co-citation analysis, multi-dimensional scaling analysis and hierarchical cluster analysis (HCA) on a total of 2,614 citations.

This study employs co-citation analysis to identify the conceptual structure of the service ecosystem based on highly cited papers. Additionally, we utilize multidimensional scaling (MDS) to uncover key approaches driving service ecosystem research. Through HCA and network analysis, we examine the research scope and its development, emphasizing theory-driven approaches. By combining quantitative and qualitative analysis, we explore the interrelationships between scope, domain and evolution. This comprehensive analysis allows us to delve deeply into the study of service ecosystems. To broaden the research scope, we propose a conceptual framework for comparing the main components of a service ecosystem. The current paper clarifies the service ecosystem's intellectual structure, including service performance, humanistic approach, sustainable innovations and service reflexivity and reformation and proposes a prospective research framework for specialists and researchers by introducing a metaverse service ecosystem.

For the first time, the findings of this study shed light on processes that facilitate the flow of technologies, business models and markets through social structures, ultimately contributing to social change. In service-based systems, the development and application of a more humanistic approach within and surrounding social service ecosystems are crucial as they evolve. Therefore, adopting a dynamic and multifaceted approach offers valuable insights into the drivers of value creation.

Learning from safety accidents and sharing safety knowledge has become an important part of accident prevention and improving construction safety management. Considering the difficulty of reusing unstructured data in the construction industry, the knowledge in it is difficult to be used directly for safety analysis. The purpose of this paper is to explore the construction of construction safety knowledge representation model and safety accident graph through deep learning methods, extract construction safety knowledge entities through BERT-BiLSTM-CRF model and propose a data management model of data–knowledge–services.

The ontology model of knowledge representation of construction safety accidents is constructed by integrating entity relation and logic evolution. Then, the database of safety incidents in the architecture, engineering and construction (AEC) industry is established based on the collected construction safety incident reports and related dispute cases. The construction method of construction safety accident knowledge graph is studied, and the precision of BERT-BiLSTM-CRF algorithm in information extraction is verified through comparative experiments. Finally, a safety accident report is used as an example to construct the AEC domain construction safety accident knowledge graph (AEC-KG), which provides visual query knowledge service and verifies the operability of knowledge management.

The experimental results show that the combined BERT-BiLSTM-CRF algorithm has a precision of 84.52%, a recall of 92.35%, and an F1 value of 88.26% in named entity recognition from the AEC domain database. The construction safety knowledge representation model and safety incident knowledge graph realize knowledge visualization.

The proposed framework provides a new knowledge management approach to improve the safety management of practitioners and also enriches the application scenarios of knowledge graph. On the one hand, it innovatively proposes a data application method and knowledge management method of safety accident report that integrates entity relationship and matter evolution logic. On the other hand, the legal adjudication dimension is innovatively added to the knowledge graph in the construction safety field as the basis for the postincident disposal measures of safety accidents, which provides reference for safety managers' decision-making in all aspects.

Since the introduction of the outstanding web AI chat system, ChatGPT, it has caused a significant impact in both academia and the business world. Many studies have started to explore its potential applications in various fields. However, there is a lack of research from the perspective of user experience. To fill this theoretical gap and provide a theoretical basis for the operation and design of related services, this study plans to develop a set of evaluation scales for AI chat system user experience and explore the relationship between various factors and user satisfaction.

This study obtained 41 evaluation indicators through literature review and user research. Subsequently, these indicators were used as questionnaire items, combined with satisfaction metrics. A total of 515 questionnaires were distributed, and factor analysis and linear regression were employed to determine the specific elements influencing user experience and the user satisfaction model.

This study found that the factors influencing user experience are usefulness, accuracy, logical inference, interactivity, growth, anthropomorphism, convenience, credibility, ease of use, creativity, and security. Among these factors, only accuracy, anthropomorphism, creativity, and security indirectly influence satisfaction through usefulness, while the rest of the factors have a direct positive impact on user satisfaction.

This study provides constructive suggestions for the design and operation of related services and serves as a reference for future theoretical research in this area.

By exploring the microimplementation mechanism of common prosperity, this paper aims to offer a strategic direction for Chinese enterprises to achieve sustainable development. It also provides theoretical support and practical guidance for the Chinese Government in exploring feasible paths to common prosperity, starting from the enterprises.

This paper takes the digital business model innovation of Rainbow Planet as a case study, systematically explicating the mechanism through which digital business model innovation fosters common prosperity by constructing a research framework of “digital business model innovation-resource orchestration-common prosperity.”

First, from a microperspective, the role of enterprises in promoting common prosperity in China is confirmed. Second, based on the theory of resource orchestration, it is concluded that digital resources can generate three types of digital effects, such as association, interaction and feedback, through effective resource orchestration under the support of the value elements of the business model. Finally, this paper emphasizes that enterprises should take actions such as demand aggregation, trust building and relationship reshaping to connect with relevant stakeholders, so as to achieve the win-win purpose of improving enterprise competitiveness and deepening common prosperity.

For Chinese enterprises, linking their development with the overall welfare of society is an essential path to sustainable development. Enterprises can promote the integration of their development with social welfare in three aspects: enhancing the efficiency and innovation capability of digital operations, strengthening cooperation with stakeholders and advancing sustainable business models. For the Chinese Government, it is important to encourage enterprises to play a positive role in the fields of economy, environment and society. The government can promote excellent practices in digital innovation, social responsibility and environmental protection among enterprises by publicizing successful cases, inspiring more enterprises to follow suit.

Aside from grappling with technological advancements, enterprises in the industrial internet era are embracing business model innovation to align with the evolution of the industrial internet. However, a gap persists in the existing research regarding the strategies and methods available to small and medium-sized enterprises (SMEs) for executing business model innovation. Therefore, this paper aims to explore the connotation, characteristics and logic of business model innovation for SMEs in the industrial internet era.

To explore the business model innovation logic of small and medium-sized enterprises in the era of industrial internet, the paper adopts a longitudinal single-case study approach, with PAYA, a medium-sized enterprise in the electromechanical industry, serving as the subject of research. It systematically analyzes PAYA’s business model innovation, centering on four key elements of the business model: value proposition, value creation, value delivery and value capture.

The study proposes two types of business model innovation, namely, “Migration” and “Expansion”, and explains the logic of business model innovation for SMEs in the industrial internet era: faced with a rapidly changing market environment, entrepreneurs put forward the value proposition through the insight of the market environment, then enterprises conduct technological innovation to support the value creation by their own unique experience and knowledge, and then improve the legitimacy of the market by expanding the influence of market acceptance of the new business model to promote the value delivery, and finally capture the economic value and ecological value.

The types and logic of business model innovation proposed in this paper contribute to supplementing and developing the theory of business model innovation and meanwhile have important reference value for SMEs in the industrial internet era.

It is imperative for policymakers, financial institutions, and individual investors to comprehend the factors that impact stock market participation, given the growing significance of the stock market in terms of personal and national wealth. This study endeavours to explore the relationship between cognitive ability and participation in the stock market. We examine the relationship between cognitive abilities and stock market participation, and further explore the mechanism of their influence.

The data from the China Family Panel Studies is utilized, and Tobit and Probit regressions are employed. Additionally, an instrumental variable approach (IV-estimate) is implemented to address the endogeneity issue linked to cognitive ability, and the study’s findings are resilient.

The results reveal a significant positive relationship between cognitive ability and stock market participation. Additionally, the findings suggest that households with higher cognitive ability tend to aggregate more information, expand social networks, and take more risks. A likely explanation is that individuals with higher cognitive ability are more likely to process more external information and evaluate the subjective uncertainty of stock markets based on a well-defined probability distribution. Our findings indicate that the impact of cognitive ability on stock market participation varies among families with differing education levels, genders, marital statuses, and geographical locations.

Therefore, the roles of cognitive abilities in accelerating stock market participation should be fully considered. More information channels and sources that contain financial markets’ information (e.g. mobile applications and financial education) should be provided. Thus, the significance of cognitive ability in increasing stock market participation should be fully considered. Providing more information channels and sources, such as mobile applications and financial education, that contain financial markets’ information would be helpful. Our study contributes to promoting financial literacy and inclusion by highlighting the significant positive impact of cognitive ability, where institutions can tailor their outreach efforts and information channels to better serve individuals with different cognitive ability.

The purpose of this paper is to investigate the role of performance measurement systems (PMS) within the context of digital servitization (DS), especially in collaborations involving multiple actors. The paper adopts a bottom-up ecosystem perspective to gain insights into how companies can effectively manage the complexities of digital transformation in the servitization domain.

This research draws upon a longitudinal case study within the wine and spirit supply chain. It focuses on a logistics company, “GR”, which has promoted a DS strategy to offer advanced services and enhance the competitiveness of the entire ecosystem.

The study offers valuable insights into the evolution of PMS roles throughout the DS journey, promoting cooperation, coordination, collaboration and control among ecosystem actors, thereby facilitating the development of a DS strategy.

The study is focused on a logistics company with unique capabilities and networks. Future research should include a broader range of contexts. Furthermore, our analysis focuses on the initial stages of ecosystem emergence, particularly the initiation and momentum phases. Further research should explore how DS impacts organizations in the following ecosystem phases.

This research offers valuable insights for managers, particularly in the development of DS strategy. It underscores the significance of PMS as key facilitators in crafting DS strategy and in the broader ecosystem evolution. The findings demonstrate that PMS is instrumental across different phases of the servitization process, improving aspects such as performance monitoring, resource allocation, collaboration and communication. Moreover, this study emphasizes the importance for small and medium-sized enterprises manufacturers and logistics firms to build and nurture collaborative relationships with various supply chain stakeholders to successfully implement a servitization strategy. In the wine industry, embracing a multiactor perspective is crucial. The delivery of advanced services necessitates a wide spectrum of knowledge and skills on one hand, and adaptability and flexibility in developing relationships on the other.

The study contributes to the literature on management accounting by exploring the role of PMS in DS. It reveals that PMS acts as a fundamental enabler, promoting seamless coordination and collaboration among various actors involved in DS. This sheds light on the transformative potential of PMS in creating a collaborative environment, where multiple organizations work together to offer value-added services.

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.

There is a widely held belief that open government data (OGD) have the potential to generate both economic and social value. This study aims to empirically unpack the relationship between OGD, diversification activities and innovation in the pursuit of economic value creation by firms.

Using a matched sample comparison method and difference-in-differences analyses, the authors study the impact of OGD on innovation over time in the USA. The authors considered the open government directive in the end of 2009 in the USA as a policy intervention and collected 10 years of financial data of 79 firms that use OGD and 79 matched control firms in the USA. The authors compare US firms using OGD, with matched control firms, regarding the firms’ level of product diversification as a measure of innovative use of OGD.

The authors provide empirical evidence that OGD policy contributes toward innovation, and hence economic value creation, through product diversification. Firms that leverage OGD show superior product diversification in comparison to the matching control firms. The results suggest that OGD contribute to firms’ innovation and pursuit of economic value, as evidenced by their increased product diversification.

Although the extant literature concerning OGD has underscored the impact of OGD on innovation and economic value generation, there is a lack of empirical evidence in the literature. This study seeks to add to the extant literature by providing empirical evidence that contributes to the understanding of the relationship between OGD, diversification and innovation in the pursuit of economic value creation.