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Using social network theory (SNT), this study empirically examines the impact of digital supply chain announcements disclosing corporate social responsibility (CSR) information on stock market value.

Based on 172 digital supply chain announcements disclosing CSR information from Chinese A-share listed companies, this study uses event study method to test the hypotheses.

First, digital supply chain announcements disclosing CSR information generate positive and significant market reactions, which is timely. Second, strategic CSR and value-based CSR disclosed in digital supply chain announcements have a more positive impact on stock market, however there is no significant difference when the CSR orientation is either towards internal or external stakeholders. Third, in terms of digital supply chain network characteristics, announcements reflecting higher relationship embeddedness and higher digital breadth and depth lead to more positive increases of stock value.

First, the authors consider the value of CSR information in digital supply chain announcements, using an event study approach to fill the gap in the related area. This study is the first examination of the joint impact of digital supply chain and CSR on market reactions. Second, compared to the previous studies on the single dimension of digital supply chain technology application, the authors innovatively consider supply chain network relationship and network structure based on social network theory and integrate several factors that may affect the market reaction. This study improves the understanding of the mechanism between digital supply chain announcements disclosing CSR information and stock market, and informs future research.

We explore the driving forces behind the channel choices of the manufacturer and the platform by considering asymmetric selling cost and demand information.

This paper develops game-theoretical models to study different channel strategies for an E-commerce supply chain, in which a manufacturer distributes products through a platform that may operate in either the marketplace channel or the reseller channel.

Three primary models are built and analyzed. The comparison results show that the platform would share demand information in the reseller channel only if the service cost performance is relatively high. Besides, with an increasing selling cost, the equilibrium channel might shift from the marketplace to the reseller. With increasing information accuracy, the manufacturer tends to select the marketplace channel, while the platform tends to select the reseller channel if the service cost performance is low and tends to select the marketplace channel otherwise.

All these results have been numerically verified in the experiments. At last, we also resort to numerical study and find that as the service cost performance increases, the equilibrium channel may shift from the reseller channel to the marketplace channel. These results provide managerial guidance to online platforms and manufacturers regarding strategic decisions on channel management.

Although prior research has paid extensive attention to the driving forces behind the online channel choice between marketplace and reseller, there is at present few study considering the case where a manufacturer selling through an online platform faces a demand information disadvantage in the reseller channel and sales inefficiency in the marketplace channel. To fill this research gap, our work illustrates the interaction between demand information asymmetry and selling cost asymmetry to identify the equilibrium channel strategy and provides useful managerial guidelines for both online platforms and manufacturers.

Doctor–medical institution collaboration (DMIC) services are an emerging service mode in focal online health communities (OHCs). This new service mode is anticipated to affect user satisfaction and doctors' engagement behaviors. However, whether and how DMIC occurs is still ambiguous because the topic is rarely examined. To bridge this gap, this study explores doctors' participation in DMIC services and its effects on their online performance, as well as its effect on patients' evaluation of them on OHC platforms.

The authors propose hypotheses based on structural holes theory. A unique dataset obtained from one of the most popular OHCs in China is used to test the hypotheses, and difference-in-differences estimation is adopted to test the causality of the relationship.

The results demonstrate that providing DMIC services improves doctors' online consultation performance and patients' evaluations of them but has no significant effect on doctors' knowledge-sharing performance on OHC platforms. Doctors' knowledge-sharing performance and consultation performance mediate the relationship between participation in DMIC services and patients' evaluation of doctors. Regarding doctors' participation in DMIC services, its impact on doctors' consultation performance and patients' evaluation of them is weaker for doctors with higher professional titles than for doctors with lower professional titles.

The findings clarify the value creation mechanisms of online collaboration between doctors and medical institutions and thereafter facilitate doctors' participation in DMIC services and enhance the sustainable development of OHCs.

The information used for supervision by regulatory departments in public-private partnership (PPP) projects is primarily transmitted and processed by the PPP implementation department, which negatively impacts the information quality, leading to information asymmetry and undermining the overall effectiveness of supervision. This study aims to explore how to use blockchain to anchor the information used for supervision in PPP projects to the original information, to strengthen the oversight.

This paper adopts the principles of design science research (DSR) to design a conceptual framework that systematically organizes information along the information dissemination chain, ensuring the reliable anchoring of original information. Two-stage interviews involving experts from academia and industry are conducted, serving as formative and summative evaluations to guide the design.

The framework establishes a weak-centralized information organizing mode, including the design of governance community and on-chain and off-chain governance mechanisms. Feedback from experts is collected via interviews and the designed framework is thought to improve information used for supervision. Constructive suggestions are also collected and analyzed for further development.

This paper provides a novel example exploring the inspirations blockchain can bring to project governance, like exercising caution regarding the disorderly expansion of public sector authority in addressing information disadvantages and how to leverage blockchain to achieve this. Technical details conveyed by the framework deepen understanding of how blockchain benefits and the challenges faced in successful implementation for practitioners and policymakers. The targeted evaluation serves as rigorous validation, guiding experts to provide reliable feedback and richer insights by offering them a more cognitively convenient scenario.

This study examines whether real earnings management (REM) choices are connected with the ownership structure of politically connected businesses (PCBs). The authors also discuss the moderating role of audit quality (AQ) and family control (FC) on the relationship between PCBs and REM.

The authors' study sample comprises firms registered on the Pakistan Stock Exchange (PSE). The sample examines the financial data of the firms that remained listed for the last eight years, i.e. from 2011 to 2018, excluding nonfinance companies and firms with incomplete data. The authors test the hypothesis using feasible generalized least squares (FGLS) regression methods.

The authors find that PCBs show a high level of involvement in income-decreasing REM compared to nonPCBs due to lower litigation risk in REM. However, the authors' results also show that two monitoring mechanisms, AQ and FC, curb the opportunistic behavior of PCBs and reduce the intensity of REM in PCBs.

The findings of the study are beneficial in decision-making for both internal and external stakeholders, such as creditors, shareholders and competitors. In countries like Pakistan, which fall in the category of emerging economies, PCBs show involvement in income-decreasing REM to change the accurate picture of financial information to attain personal goals, and investors in such countries have a low level of knowledge about earnings management strategies; thus, this study offers detailed knowledge and information to investors and shareholders about political connections and REM. This plays a crucial role for regulators in stiffening the rules and regulations to further assist in more secure financial reporting.

This study contributes to the literature by providing a nuanced understanding of the interplay between political connections, REM, FC and AQ in the business context. Second, family-controlled businesses often exhibit distinct characteristics and governance structures compared to nonfamily-controlled firms. Exploring the moderating role of FC in the following relationship could provide valuable insights into how family dynamics influence the financial reporting practices of PCBs. Third, AQ is a critical factor in ensuring financial reporting transparency. However, the interaction between AQ, political connections, and REM remains relatively unexplored. This study explains how audit oversight affects the earnings management behavior of PCBs.

To take full advantage of new technologies (e.g. machine learning), a consistent and more comprehensive knowledge sharing across organisational boundaries is required. The real estate industry often faces this challenge as well. The paper aims to approach this circumstance by analysing the real estate supply chain (RESC) and aims to identify ways to achieve a more disruption-free flow of information.

To answer the research question, a cross-sectional study was conducted using a standardised online questionnaire and structural equation modelling. The majority of the study participants came from German-speaking countries. The structural equation model was used to examine the relationships between the factors inter-organisational relationship, knowledge sharing skills and knowledge sharing.

The authors found that inter-organisational relationship has a significant influence on knowledge sharing and thus on the occurrence of information flow disruptions. Aligning shared goals of parties plays a major role to improve inter-organisational relationship. Control and supervision does not show any significant effect. Knowledge sharing skills in turn have an influence on knowledge sharing.

The alignment of interests and the creation of trust should be established in the future as core elements within the framework of contract negotiations, the lived contract and the contract itself, in order to reduce disruptions in the flow of information.

From the perspective of knowledge sharing, this study attempts to identify necessities within the framework of contractual design options that simplify and promote the inter-organisational use of algorithms to increase transactional efficiency.

The aim of this study is to analyze the influence mechanism of real estate enterprises' status on debt default risk and explore the heterogeneity effect of the characteristics of enterprises.

Against the background of the “three red lines” regulation of the financing of real estate enterprises and the COVID-19 pandemic, the authors select 123 real estate enterprises listed on China's Shanghai and Shenzhen A-shares markets from the first quarter of 2021 to the second quarter of 2022 as a research sample. The social network analysis method and Z-score financial risk early warning model are used to measure real estate enterprises' status and debt default risk. The authors construct a panel regression model to analyze how the status of real estate enterprises influences their debt default risk.

The results show that the status of real estate enterprises negatively and significantly affects their debt default risk. Economic policy uncertainty and financing constraints play negative moderating and mediating roles, respectively. Further research has found that the effect of real estate enterprises' status on debt default risk is characterized by heterogeneity in equity characteristics, i.e. it is significant in the sample of nonstate-owned enterprises but not in the sample of state-owned enterprises.

It is helpful for real estate enterprises to attach importance to the value of social networks, and the authors provide policy suggestions for real estate enterprises to constantly improve their risk management systems.

Using economic policy uncertainty as the moderating variable and financing constraints as the mediating variable, the authors analyze how the status of real estate enterprises influences debt default risk, which contributes to a better understanding of the formation of the debt default risk of real estate enterprises.

This paper examines whether and how customers' annual report tone affects suppliers' innovation decisions.

Using the data from disclosed information on top five customers and annual report tone by Chinese listed firms, this paper used a two-way fixed effect model and intermediary effect model tests to explore the impact of customers' annual report tone on suppliers' innovation decisions.

The results indicate that the more positive the tone of customer annual reports is, the higher the suppliers' technological innovation level. The customers' annual report tone affects suppliers' innovation decisions through alleviating financing constraints and reducing the bullwhip effect. In addition, the authors find that the worse the supplier's bargaining power and the higher the customer's media coverage, the more significant the impact of positive customer annual report tone on the level of corporate technological innovation.

For downstream customers, to improve the quality of their text information disclosure. For upstream suppliers, the tone of customers' annual reports has incremental information, so the attention to customers' text information should be strengthened. As far as the market is concerned, it is recommended that regulators should strictly require the quality of text information disclosure and introduce relevant penalty mechanisms better to regulate the quality of corporate text information disclosure.

To the best of the author's knowledge, this paper is the first to expand the research related to textual information from a supply chain innovation perspective. The textual information can provide incremental information, and spillover effects may occur among supply chains, affecting suppliers' innovation decisions. And it clarifies the specific mechanism by which the supply chain tone spillover effect affects corporate innovation, enriching the relevant research on supply chain influence mechanisms.

In today’s information and knowledge society, it is indispensable for citizens to acquire the requisite digital and information literacy (IL) skills to search information independently to meet their multiple and diverse information needs. As a result of digitalisation in the world, development and acquisition of digital and information skills is critical even for students and learners to retrieve digitised and online information to meet or achieve their curriculum-related accomplishments. The purpose of this study is to investigate the status of the digital and information literacies in South Africa from 2016 to 2022.

This qualitative study used a scoping review approach to collect data from research articles, conference articles and textbooks on digital literacy and IL – published in the years ranging between 2016 and 2022 from Google Scholar.

The major findings revealed that majority of the citizens especially students and learners lack digital and IL skills to recognise when information is needed, to find, locate, evaluate and use the retrieved information to meet an information need in a particular situation or context. Practical implications of this study include the alignment of curricula towards information and communication technologies to face the everchanging digital information technologies.

The study used scoping literature review research where empirical studies were retrieved and selected to address the objectives. This study provided significant approaches regarding promoting information and digital literacies in developing countries such as South Africa.

This chapter focuses on data journalism, a relatively new brand of journalistic practices that take advantage of the growing availability and application of digital data and computational tools for news production. Although this brand of journalism has been on in some advanced democracies, it is still a relatively new development in Africa, especially Nigeria. Journalists still rely mostly on eyewitness reports and interviews to write their stories, thus leading to lack of depth in media reportage of critical issues. This chapter explores the nature of data journalism conceptualised as a social science pragmatic approach to news gathering and reporting, tracing its history and inherent strengths and weaknesses. It examines the windows of opportunities it provides towards guaranteeing transparency and accountability in Nigeria's nascent democracy. It concludes that, though data journalism complements the conventional investigative reporting to enhance good governance system in Nigeria, strengthening other institutions of government such as the police, judiciary, Economic and Financial Crimes Commission (EFCC), and Independent Corrupt Practices and other related offences Commission (ICPC) becomes imperative in entrenching accountability and transparency in Nigeria.