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The purpose of this paper is to explore the impact and mechanism of WeChat public platforms articles (abbreviated as WPP) on blood donation behavior using data of WPPA and donation behavior data.

This paper uses multiple linear regression methods, web crawlers and natural language processing technology. It first quantifies the impact of WPP published articles on donation behavior. On this basis, it then selects data from the day of article publication to further study the impact of article dissemination on donation behavior from the perspective of reading quantity, and analyzes the influencing factors of article reading quantity.

The results show that on the same day that an article is published, there is an increase of 13.8 and 14.3% in blood donation volume and fan registrations, respectively. The mediating effect exists. However, the day after an article is published, there is no longer any effect on blood donations. With a 1% increase in reading quantity, blood donation volume on the day of article publication increases by 0.13%, and this positive impact is promoted by the quality of the articles. A conc ise articles title and body and rich images help drive reading quantity. Moreover, blood donors prefer to read articles about blood dynamics and donation promotion, while articles about news, announcements and administrative affairs make them less inclined to read.

First, it focuses on WPPA, quantifies the impact of articles on blood donation behavior and analyzes the mechanism. Second, the authors study the impact and timeliness of social media article dissemination to address the insufficiency of existing research. Third, the study provides a scientific basis for the editing and publishing of articles, helping blood banks improve the effectiveness of publicity and recruitment.

Case study research has been applied across numerous fields and provides an established methodology for exploring and understanding various research contexts. This paper aims to aid in developing methodological rigor by investigating the approaches of establishing validity and reliability.

Based on a systematic review of relevant literature, this paper catalogs the use of validity and reliability measures within academic publications between 2008 and 2018. The review analyzes case study research across 15 peer-reviewed journals (total of 1,372 articles) and highlights the application of validity and reliability measures.

The evidence of the systematic literature review suggests that validity measures appear well established and widely reported within case study–based research articles. However, measures and test procedures related to research reliability appear underrepresented within analyzed articles.

As shown by the presented results, there is a need for more significant reporting of the procedures used related to research reliability. Toward this, the features of a robust case study protocol are defined and discussed.

In this paper, the authors review the literature on the nature of the small and medium-sized enterprise concept. The review examines the broad diversity of terms and definitions used to describe these kinds of firms in scholarly and practical settings. They relate this examination to the concept of small business for the purpose of comparison, in order to highlight differences and similarities between the concepts.

Relevant literature including articles from academia and defining documents from practical settings was identified through a scope literature review. Field data were subsequently collected via questionnaires sent to editors and authors of articles related to the theme. The data were content analyzed and the resulting codes consolidated into dimensions in accordance with the Gioia method. Chi-squared tests were applied to categorical data.

The use of the composite category “small and medium” was found to be predominant in the labeling of small businesses in scientific articles, including those in journals that specialize in small businesses, with no justifications presented for this, characterizing a widespread and consensual practice between authors and editors. In the defining documents of practical settings, however, the authors observed greater consistency and precision both in the terms used and in the delimiting values for a small business (self-employed, micro business, small business). In the sample of 27 defining documents mentioned in the articles, 25 specifically defined “small business” and 20 defined “micro business,” using indicators such as number of employees and annual turnover. The indicators delimiting values regarding the category of micro business were the same in all the documents analyzed and, regarding the category of small business, many documents used the same delimiting values.

Recognizing the “non-large enterprise” myth will provide a more effective posture for editors and authors to avoid using the term “small and medium,” resulting in greater precision, understanding and knowledge regarding small businesses. A better definition of a small business by academia can help public policymakers and managers of organizations that support small businesses to tailor their actions better according to the different sizes of companies. This will also lead to social gains, given the importance of small businesses in terms of job creation and countries' economies.

The authors identified and described the myth of the “non-large enterprise” among academics, characterized by the dichotomous view of the business universe, composed of “large enterprises” and “non-large enterprises,” the latter group being characterized by the widespread use of the term “small and medium.”

This paper aims to investigate the impact of climate change news on the dynamics of US stock indices.

The empirical basis of the study was 3,209 news articles. Sentiment analysis was performed by a pre-trained bidirectional FinBERT neural network. Thematic modeling is based on the neural network, BERTopic.

The results show that news sentiment can influence the dynamics of stock indices. In addition, five main news topics (finance and politics natural disasters and consequences industrial sector and Innovations activism and culture coronavirus pandemic) were identified, which showed a significant impact on the financial market.

First, we extend the theoretical concepts. This study applies signaling theory and overreaction theory to the US stock market in the context of climate change. Second, in addition to the news sentiment, the impact of major news topics on US stock market returns is examined. Third, we examine the impact of sentimental and thematic news variables on US stock market indicators of economic sectors. Previous works reveal the impact of climate change news on specific sectors of the economy. This paper includes stock indices of the economic sectors most related to the topic of climate change. Fourth, the research methodology consists of modern algorithms. An advanced textual analysis method for sentiment classification is applied: a pre-trained bidirectional FinBERT neural network. Modern thematic modeling is carried out using a model based on the neural network, BERTopic. The most extensive topics are “finance and politics of climate change” and “natural disasters and consequences.”

This study aims to provide a new overview and opportunities of blockchain (BCT), financial technology (fintech) and knowledge management (KM) over the past ten years. Its focus is on their potential to drive new value creation and innovation processes within the digital landscape of the tourism and hospitality.

This systematic literature review and sociotechnical approach employs a literature analysis, analyzing and synthesizing 62 relevant articles published in the past decade form e-databases (Web of Science and Scopus).

This study reveals that researchers frequently discuss the potential advantages and challenges of BCT, fintech and KM in this industry. These include establishing systems that prioritize transparency and traceability, addressing blockchain security concerns, enhancing financial transaction efficiency and trustworthiness, and promoting innovation and improvement through KM strategies. Furthermore, this review suggests that the application of blockchain, fintech and KM has the potential to create new markets and opportunities in the tourism and hospitality industry. This study provides insights into the state and implementation of technology-based and knowledge-based for tourism and hospitality in times of crisis and digitization era.

Shifting to new lens (refers to sociotechnical theory), from technology adoption strategy, it is important to stay updated with emerging technologies such as BCT and fintech and upcoming technologies trends must align with tourism and hospitality business objectives, customer expectations and market demands. From the socio-dimension, KM is not confined to technological tools alone. Instead, it is a strategic approach that emphasizes fostering a culture of open communication, collaboration and knowledge sharing within the team of tourism and hospitality industry.

Through a literature review approach, this study establishes a new foundation in tourism and hospitality such as analyzing research gaps, understanding benefits and challenges, supporting methodologies/theoretical frameworks and informing the future research opportunities. Additionally, a novel contribution is the inclusion of sociotechnical approach that is allocated into socio or knowledge resources perspective (knowledge management), and technical or technology perspective (blockchain and fintech) that drives tourism and hospitality innovation.

The purpose of this paper is to examine the evolution of the literature on technology transfer and culture, identifying the main contents of the current body of knowledge encompassing culture and technology transfer (TT), thus contributing to a better understanding of the relationship between TT and culture based on bibliometric and multivariate statistical analyses of the relevant body of literature.

Data for this study were collected from the Web of Science (WoS) Core Collection database. Based on a bibliometric analysis and in-depth empirical review of major TT subjects, supported by multivariate statistical analyses, over 200 articles were systematically reviewed. The use of these methods decreases biases since it adds rigor to the subjective evaluation of the relevant literature base.

The exploratory analysis of the articles shows that first, culture is an important topic for TT in the literature; second, the publication data demonstrate a great dynamism regarding the different contexts in which culture is covered in the TT literature and third, in the last couple of years the interest of stimulating a TT culture in the context of universities has continuously grown.

This study focuses on culture in the context of TT and identifies the main contents of the body of knowledge in the area. Based on this first insight, obtained through more detailed bibliometric and multivariate analyses, it is now important to develop and validate a theory on TT culture, emphasizing the dimensions of organizational culture, entrepreneurial culture and a culture of openness that fosters economic and societal spillovers, and to link those dimensions to the performance of TT activities.

From the practical point of view, managers in companies and universities should be aware of the importance of identifying those dimensions of culture that contribute most to the success of their TT activities.

Despite several literature reviews on the TT topic, no studies focusing specifically on culture in the context of TT have been developed. Therefore, given the multifaceted nature of the research field, this study aims to expand and to deepen the analysis of the TT literature by focusing on culture as an important and commonly cited element influencing TT performance.

Effectively engaging patients is critical for the sustainable development of online health communities (OHCs). Although physicians’ general knowledge-sharing, which is free to the public, represents essential resources of OHCs that have been shown to promote patient engagement, little is known about whether such knowledge-sharing can backfire when superfluous knowledge-sharing is perceived as overwhelming and anxiety-provoking. Thus, this study aims to gain a comprehensive understanding of the role of general knowledge-sharing in OHCs by exploring the spillover effects of the depth and breadth of general knowledge-sharing on patient engagement.

The research model is established based on a knowledge-based view and the literature on knowledge-sharing in OHCs. Then the authors test the research model and associated hypotheses with objective data from a leading OHC.

Although counterintuitive, the findings revealed an inverted U-shape relationship between general knowledge-sharing (depth and breadth of knowledge-sharing) and patient engagement that is positively associated with physicians’ number of patients. Specifically, the positive effects of depth and breadth of general knowledge-sharing increase and then decrease as the quantity of general knowledge-sharing grows. In addition, physicians’ offline and online professional status negatively moderated these curvilinear relationships.

This study further enriches the literature on knowledge-sharing and the operations of OHCs from a novel perspective while also offering significant specific implications for OHCs practitioners.

The authors examine and compare accounting associations' identities in distinct segments of the accounting profession surrounding the 2014 merger of three Canadian accounting associations.

The authors conceive of accounting associations' magazine front covers as a setting for “identity performance” (i.e. a scenery through which identity dimensions are intentionally communicated to target audiences). The authors examine pre-merger and post-merger associations' identity performances that took place between January 2011 and December 2020 and identify 21 broad themes that the authors interpret in terms of identity logics (i.e. professionalism/commercialism) and audience focus (society/association members), underscoring (dis)similarities in identity performances pre- and post-merger.

The authors' analysis reveals distinct identity performances for the different segments of the pre-merger accounting profession and for the post-merger unified accounting association. Identity logics manifest differently: a commercial logic dominated for two of the associations and a professional logic dominated for the third. Identity fluidity was evident in the merged association's shift from commercial toward professional logic when the association ceased publishing one magazine and introduced a new one. Society rather than associations' members dominated as a target audience for all associations, but this focus manifested differently. Post-merger, identity performances continued to focus on society as the audience.

The authors highlight the Goffmanian identity performances (Goffman, 1959) taking place via accounting associations' magazines. The authors adopt a segment perspective (Bucher and Strauss, 1961) that demonstrates that commercialism does not trump professionalism in all segments of the profession. For the first time, the authors juxtapose identity logics (professionalism/commercialism) and targeted audiences to better understand how these facets of accountants' identities compare between segments.

The study aims to present an insight into the research landscape of Library and Information Science (LIS) by India using a bibliometric visualization tool. The study analyses the research growth and trends, highly cited articles, productive publication titles, institutional and country collaboration.

The data were downloaded from the Web of Science Core Collection for a period of 20 years and analysed through VOSviewer, a data visualization software.

The results indicate that the overall annual contributions are increasing, although with uneven and slow growth from 2001 to 2014. However, the highest contributions and impact is witnessed over the past few years. All the top 10 cited papers are related to the area of information processing and management. The visualization technique made it clear that the area of research has made a transition from traditional concepts of library and information to novel ones involving big data, machine learning, altmetrics, etc. Also, the Indian Institute of Technology System, the Council of Scientific and Industrial Research and the Indian Institute of Management System have made the highest contributions. Furthermore, India shares maximum collaborations with the USA, followed by England and China.

The findings of this study would help readers to gain understanding about the contribution of India for the development of the LIS. It would also help researchers to identify the hotspots and left out areas of research in the Indian context that require further investigation, thus would help in policy decisions and future research. Furthermore, researchers will be sensitized about the network visualizations that can also help them to get connected with the peers. The study can also help the journals to recognize the trending topics, which will provide the researchers with the opportunities to work on the same. Funding agencies can also be benefitted by the findings of the current study as they will be informed about the research areas which need to be funded.

There are not many research studies that highlight the research trends in the area of LIS from India and visualize the collaboration among institutions and countries. The study tries to showcase the research trends and collaborative frameworks in the field of LIS in terms of network visualization.

In Indonesia, the Islamic Economics and Finance Sector is growing rapidly, but the literature on Islamic financial literacy is still minimal. This study aims to show research opportunities with the theme of Islamic financial literacy, especially inclusive Islamic financial planning through bibliometric analysis of Scopus and connected papers.

A comma separated value (CSV) file containing more than 2,000 references meta data was used for analysis on Vos Viewer in the period of 1963–2020. The grouping of network visualization maps is done using six keywords, namely, “Financial Literacy,” “Financial Inclusion,” “Islamic Financial Literacy,” “Financial Planning,” “Personal Finance” and “Household Finance.”

The findings complement the keywords that are generally used as references in the formation of theories regarding inclusive Islamic financial planning. After combining the “ris” file from the connected paper, the most used terms are financial knowledge, financial education, financial behavior, financial decision-making process, financial inclusion, risk sharing and financial discourse.

The proportion which planned to be applied in Indonesia will differentiate the inclusive Islamic financial planning framework from what has been done before. This study outlines the basis of the relevant literature review in the theme of Islamic financial literacy research, especially inclusive Islamic financial planning.