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Influencer marketing has emerged as a key strategy for brands to promote green products. The effectiveness of virtual influencers – a newer type of endorser – for these products remains unclear. This study aims to compare the effectiveness of virtual and human influencers in promoting green products and to uncover the key mechanisms that drive their influence.

In this research, the hypotheses were examined across three experimental studies. Study 1 initially investigated the effectiveness of virtual influencers in endorsing green products. Study 2 identified perceived altruistic motivation and perceived congruence of product and influencer as key mechanisms. Study 3 explored the moderating effect of language type (rational vs emotional).

The findings indicate that virtual influencers are generally less effective than human influencers in promoting green products, largely due to lower perceived altruistic motivation and congruence. Yet, using rational language in promotional posts can enhance the effectiveness of virtual influencers in endorsing these products.

This study combines the mind perception theory with the match-up hypothesis to explore the intrinsic mechanisms of perceived altruistic motivation and congruence, specifically from an emotional perspective, based on the unique attributes of virtual influencers and green products. These insights guide brands in selecting suitable endorsers for green products in the context of increasing environmental awareness and digitalization.

The purpose of this study is to reveal the mechanism of humble leadership inducing abusive supervision from the low-status compensation perspective, examining the mediation role of leader perceived thread to status. Besides, the moderation effect of regulatory focus on the mediation path is discussed.

This study conducted a three-wave longitudinal survey. The data was collected from 438 leaders and their employees in five Chinese enterprises. This study used Mplus 7.4 and adopted a bootstrapping technique for data analysis.

Humble leadership has a positive effect on leader perceived threat to status. Leader perceived threat to status plays a mediation role between humble leadership and leader abusive supervision. Leader regulatory focus is the “gate valve” that humble leadership fosters leader abusive supervision. That is, when the leader promotion focus is high, leader perceived threat to status bred by humble leadership is low, resulting in less abusive supervision. When the leader prevention focus is high, humble leadership brings relatively more abusive supervision through perceived threat to status.

This study explores why humble leadership breeds abusive supervision behaviors and reveals the mechanism behind the negative effect of humble leadership based on low-status compensation theory. This study not only promotes the continuous development of the field of humble leadership research through empirical research but also provides guidance for effectively suppressing the negative effects of humble leadership, promoting strengths and avoiding weaknesses and suppressing inappropriate management behaviors in management practice.

A daily vlog is a new type of film tourism that has been underexplored in the literature. This study aims to explore the key elements of daily vlogs that trigger a followers’ travel intention within the framework of enduring involvement. The study will highlight the affect-inspiring role of para-social relationships (PSR), extending the scope of film tourism research.

In Study 1, the objective was to investigate the essential components of enduring involvement in destination-life scenarios. This was accomplished through the analysis of qualitative data, including interview data collected from 15 participants and more than 20,000 words extracted from online blogs, barrages and comments. Additionally, Study 2 used 376 questionnaires to test the proposed structural model.

Within daily vlog-induced tourism, PSR assumes a pivotal role as a catalyst for evoking emotions. This phenomenon is interwoven with enduring involvement and has a direct impact on the determination of travel intention. Within the contextual framework of enduring involvement, constituents such as destination-life self-disclosure, situational resonance and affective belonging converge synergistically. These elements collectively underpin the process through which followers harness PSR as a driving force for nurturing travel intentions within the realm of daily vlog-induced tourism.

This study proposes the concept of daily vlog-induced tourism and emphasizes the emotion-inspiring role of PSR, to extend film tourism research to include daily vlogs. The study then explores the influencing factors of daily vlog-induced tourism under the framework of enduring involvement, providing a new understanding of enduring involvement in daily vlog-induced tourism.

日常视频博客是一种新型的电影旅游, 但文献中对它的研究还不够。本研究旨在持久卷入的框架内探讨日常视频博客触发追随者旅游意向的关键因素。本研究将强调辅助准社会关系的情感激励作用, 从而扩展电影旅游研究的范围。

研究1的目的是调查目的地生活场景中持久参与的基本要素。为此, 研究人员分析了定性数据, 包括从15名参与者那里收集的访谈数据, 以及从在线博客、弹幕（即时更新的互动评论系统）和评论中提取的 20,000 多字的数据。此外, 研究2利用 376 份调查问卷对所提出的结构模型进行了检验。

在由日常博客引发的旅游中, 准社会关系作为唤起情感的催化剂发挥着举足轻重的作用。这一现象与持久参与交织在一起, 并对旅游意向的产生产生直接影响。在持久参与的情境框架内, 目的地生活的自我披露、情境共鸣和情感归属等要素协同作用。这些要素共同支撑着追随者利用准社会关系的过程, 准社会关系在日常视频博客引发的旅游领域中是培育旅游意愿的驱动力。

本研究提出了“日常视频博客诱导旅游” 的概念, 并强调了准社会关系的情感激励作用, 从而将电影旅游研究扩展至日常微博。随后, 研究在持久参与的框架下探讨了日常视频博客诱发旅游的影响因素, 为日常视频博客诱发旅游中的持久参与提供了新的理解。

Los “vlogs” diarios son un nuevo tipo de turismo cinematográfico poco explorado en la bibliografía. Este estudio pretende explorar los elementos clave de los vlogs diarios que desencadenan la intención de viaje de los seguidores en el marco de la implicación duradera. El estudio destacará el papel inspirador de afecto de las relaciones para-sociales (RPS), ampliando el alcance de la investigación sobre el turismo cinematográfico.

En el Estudio 1, el objetivo era investigar los componentes esenciales de la implicación duradera en escenarios de vida en destino. Para ello se analizaron datos cualitativos, incluidos datos de entrevistas realizadas a 15 participantes y más de 20.000 palabras extraídas de blogs, “barrages” (un sistema de comentarios interactivos actualizados al instante) y comentarios. Además, el Estudio 2 utilizó 376 cuestionarios para poner a prueba el modelo estructural propuesto.

Dentro del turismo cotidiano inducido por los “vlogs”, la RSP asume un papel fundamental como catalizador para evocar emociones. Este fenómeno se entrelaza con la implicación duradera y tiene un impacto directo en la determinación de la intención de viaje. En el marco contextual de la implicación duradera convergen sinérgicamente elementos como la autodivulgación de la vida en el destino (AD), la resonancia situacional y la pertenencia afectiva. Estos elementos apuntalan colectivamente el proceso a través del cual los seguidores aprovechan el PSR como fuerza motriz para alimentar las intenciones de viaje en el ámbito del turismo cotidiano inducido por los “vlogs”.

Este estudio propone el concepto de turismo diario inducido por “vlogs” y hace hincapié en el papel inspirador de emociones del PSR, para ampliar la investigación sobre el turismo cinematográfico e incluir los “vlogs” diarios. A continuación, el estudio explora los factores que influyen en el turismo diario inducido por “vlogs” bajo el marco de la implicación duradera, proporcionando una nueva comprensión de la implicación duradera en el turismo diario inducido por “vlogs”.

The purpose of this study is to examine the impact of cross-ownership on corporate digital innovation and their specific mechanisms. Cross-ownership, who hold equity in two or more companies simultaneously, have two different types of governance effects in the capital market: governance synergistic effects and competitive collusion effects.

This paper uses a panel model, selecting A-share company data from 2011 to 2021 in China. In total, 23,853 valid data were obtained, which came from the CSMAR database and Wind database. For some missing data, they were manually supplemented by consulting the company's annual report and Sina Finance. Data processing was conducted using EXCEL and Stata16.0 software.

The results show that cross-ownership promote corporate digital innovation by leveraging governance synergies. Further grouping tests show that the synergistic effects of cross-ownership are significant in non-state-owned, high-tech, weakly competitive and higher analyst attention enterprises. Mechanism testing shows that cross-ownership can empower corporate digital innovation in three ways: reducing information asymmetry, alleviating financing constraints and improving corporate governance.

The conclusion of this paper provides new empirical evidence for a comprehensive understanding of the role of cross-ownership in corporate development, enriches the economic consequences research of chain institutional investors in China and broadens the research perspective of corporate digital innovation. It also provides important references for the digital transformation of enterprises and the healthy development of the capital market.

The purpose of this study is to determine the level of awareness among library and information science (LIS) professionals regarding the perceived utility of big data (BD) and data analytics (DA) in academic libraries, as well as their influence on the provision of data services (DSs).

A cross-sectional survey was carried out to collect the data for this study. The population of this study comprised LIS professionals working in public sector university libraries. A four-factor measurement model estimating the influence of BD and DA on the provision of DSs in academic libraries was tested using the structural equation modelling.

The findings revealed that awareness (AW) (β = 0.141, CR = 2.534, p = 0.011) demonstrated a significant positive influence on the provision of DSs. The perceived utility of BD (β = 0.058, CR = 0.582, p = 0.561), and perceived utility of DA (β = 0.141, CR = 2.534, p = 0.905) exhibits a positive but statistically non-significant impact on the provision of DSs (β = 0.010, CR = 0.120, p = 0.905). The goodness of fit indices suggest a favourable fit for the model, as evidenced by the following values: χ² = 1.400, DF = 164; p = 0.001; IFI = 0.954; TLI = 0.946; CFI = 0.953; GFI = 0.906; and RMSEA = 0.043.

A new perspective on the use of BD and DA in academic libraries is presented in this study. It presents a four-factor measurement model on the influence of BD and DA on the provision of DSs in university libraries.

The rapid evolution of technological infrastructure and analytical capabilities has facilitated the integration of big data analytics (BDA) across various sectors. This study aims to investigate the suitability of implementing BDA within academic libraries, addressing the demanding need for effective data utilization in contemporary educational environments.

The research is grounded in five critical components: data-driven culture, organizational infrastructure, employee responsibilities, management capabilities and the successful deployment of technology for BDA. An extensive literature review led to the development of a Likert scale-based questionnaire distributed on social media to collect data from university librarians in Pakistan. The authors were able to collect the data from 211 librarians. Descriptive statistics were employed to analyze the variables, while confirmatory factor analysis (CFA) was conducted using the AMOS to validate the research model.

The findings from the measurement model reveal significant positive correlations among all five components, underscoring their collective importance in facilitating the implementation of BDA. This formation is essential for addressing the evolving needs and academic requirements of users in the context of big data in a digital environment.

The study acknowledges limitations about its focus on a single country’s perspective, which may affect the generalizability of the findings regarding the implementation process of BDA in academic libraries.

This research contributes to the existing body of knowledge by highlighting the practices and capabilities of librarians in the era of big data as well as the requisite organizational infrastructure for the effective implementation of analytics in academic libraries.

By exploring the impact of digital knowledge resources (DKR) on the carbon emission intensity of the pig industry (PCEI), this study aims to reveal the role of DKR in reducing PCEI.

Based on provincial panel data in China from 2011 to 2021, this study uses the entropy and Intergovernmental Panel on Climate Change coefficient methods to calculate the evaluation index system of DKR and PCEI, respectively. Empirical analysis using a panel fixed-effects model examines the influence of DKR on PCEI and its underlying mechanisms.

DKR can significantly reduce PCEI. This conclusion still holds even after undergoing endogeneity treatment and a series of robustness tests. Mechanism test results indicate that DKR can operate indirectly through the mediation mechanism of rural human capital (RHC) and pig breeding technology innovation (PTI), while environmental regulation intensity (ERI) plays a positive moderating role in the relationship between DKR and PCEI. The magnitude of the impact of DKR on PCEI depends on ERI. Further studies found that the impact of DKR on PCEI has obvious heterogeneity characteristics, and the promotion effect is more obvious in regions with good integration degrees and high development potential.

This paper divides DKR into three dimensions: digital technology knowledge (DTK), digital management knowledge (DMK) and digital application knowledge (DAK), providing a new framework for research and enriching the understanding of the relationship between DKR and PCEI. Furthermore, the research results reveal the application potential of DKR in the pig industry, particularly in terms of resource allocation efficiency. This is of great significance for promoting low-carbon development in the pig industry and provides insights for the low-carbon transformation of other industries. In addition, the study emphasizes the moderating effect of ERI on the mechanism of carbon reduction in the pig industry through DKR. This offers a new perspective for understanding the relationship between knowledge management and environmental governance, providing a reference basis for policy formulation in related fields.

This paper further enriches the role of DKR in the livestock industry. Integrating DKR with traditional industries promotes knowledge innovation, information distribution and utilization and scientific decision-making. This has significant value in promoting the development and application of carbon reduction technologies, enhancing industrial competitive advantages, and other aspects.

Although the challenges associated with big data are increasing, the question of the most suitable big data analytics (BDA) platform in libraries is always significant. The purpose of this study is to propose a solution to this problem.

The current study identifies relevant literature and provides a review of big data adoption in libraries. It also presents a step-by-step guide for the development of a BDA platform using the Apache Hadoop Ecosystem. To test the system, an analysis of library big data using Apache Pig, which is a tool from the Apache Hadoop Ecosystem, was performed. It establishes the effectiveness of Apache Hadoop Ecosystem as a powerful BDA solution in libraries.

It can be inferred from the literature that libraries and librarians have not taken the possibility of big data services in libraries very seriously. Also, the literature suggests that there is no significant effort made to establish any BDA architecture in libraries. This study establishes the Apache Hadoop Ecosystem as a possible solution for delivering BDA services in libraries.

The present work suggests adapting the idea of providing various big data services in a library by developing a BDA platform, for instance, providing assistance to the researchers in understanding the big data, cleaning and curation of big data by skilled and experienced data managers and providing the infrastructural support to store, process, manage, analyze and visualize the big data.

The study concludes that Apache Hadoops’ Hadoop Distributed File System and MapReduce components significantly reduce the complexities of big data storage and processing, respectively, and Apache Pig, using Pig Latin scripting language, is very efficient in processing big data and responding to queries with a quick response time.

According to the study, there are significantly fewer efforts made to analyze big data from libraries. Furthermore, it has been discovered that acceptance of the Apache Hadoop Ecosystem as a solution to big data problems in libraries are not widely discussed in the literature, although Apache Hadoop is regarded as one of the best frameworks for big data handling.

This bibliometric study aims to analyze the latest trends and patterns of big data applications in librarianship from 2000 to 2022. By conducting a comprehensive examination of the existing literature, this study aims to provide valuable insights into the emerging field of big data in librarianship and its potential impact on the future of libraries.

This study employed a rigorous four-stage process of identification, screening, eligibility and inclusion to filter and select the most relevant documents for analysis. The Scopus database was utilized to retrieve pertinent data related to big data applications in librarianship. The dataset comprised 430 documents, including journal articles, conference papers, book chapters, reviews and books. Through bibliometric analysis, the study examined the effectiveness of different publication types and identified the main topics and themes within the field.

The study found that the field of big data in librarianship is growing rapidly, with a significant increase in publications and citations over the past few years. China is the leading country in terms of publication output, followed by the United States of America. The most influential journals in the field are Library Hi Tech and the ACM International Conference Proceeding Series. The top authors in the field are Minami T, Wu J, Fox EA and Giles CL. The most common keywords in the literature are big data, librarianship, data mining, information retrieval, machine learning and webometrics.

This bibliometric study contributes to the existing body of literature by comprehensively analyzing the latest trends and patterns in big data applications within librarianship. It offers a systematic approach to understanding the state of the field and highlights the unique contributions made by various types of publications. The study’s findings and insights contribute to the originality of this research, providing a foundation for further exploration and advancement in the field of big data in librarianship.

This paper aims to measure the adoption of big data analytics (BDA) to achieve sustainability in services being offered in university libraries in Pakistan.

The study applied a unified theory of acceptance and use of technology (UTAUT) as a framework and used quantitative data collection and analysis method. In total, 246 university library professionals were surveyed using a questionnaire consisting of UTAUT factors. The gathered data were analyzed using partial least structural equation modeling (PLS-SEM).

The results showed that performance expectancy (PE), effort expectancy (EE) and social influence (SI) significantly impacted the behavioral intention (BI) to adopt BDA. Facilitating conditions (FCs) have a statistically significant influence on the adoption of big data in libraries, while BDA has a statistical influence on the sustainability of library services (SLS).

BDA assists libraries in making better decisions about demand-driven collection creation, library space management, usage tracking, and quality maintenance in routine and repetitive library tasks such as cataloging, indexing, archiving, administration, preservation and representation. BDA supports libraries in making more cost-effective, innovative, user-oriented services, resource transferring, social identity, resource utilization, healthier user experience, strategic planning, informed decision-making and state-of-the-art infrastructure.

The foundation of this study is based on information gathered from various sources and university libraries in Punjab to better understand the challenges associated with using BDA for the SLS in Pakistan.