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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”.

On the basis of the approach-avoidance motivation theory, this study aims to examine the role of information confusion in influencing consumer switching intention among social commerce platforms, with the mediating effect of emotional exhaustion and the moderating role of social overload.

This study applied a multi-method quantitative approach including a survey and two experiments. Data were obtained from consumers on popular social commerce platforms in China. The survey's sample size was 327 respondents, whereas a total of 1,621 consumers participated in the two experiments.

Findings from the survey reveal that information confusion affects switching intention directly and indirectly via emotional exhaustion. Moreover, social overload moderates the emotional exhaustion–switching intention relationship and the indirect impact of information confusion on switching intention. Results of the two experiments further confirm the relationships found in the survey.

This study develops and validates a mediation and moderation model which expectedly serves as a framework to better explain consumer switching intention on social commerce platforms. The study also offers fresh insights into consumer switching intention in the unique context of social commerce in an emerging market (i.e. China), which has been largely ignored in the prior literature.

This study aims to measure scientific literature on the emerging research area of “big data” in the field of “library and information science” (LIS).

This study used the “bibliometric method” for data curation. Web of Science and altmetric.com were used. Data analysis and visualisation were done using three widely used powerful data analytics software, R-bibliometrix, VOSviewer and Statistical Package for Social Sciences.

This study revealed the most preferred venues for publication. Furthermore, this study highlighted an association between the Mendeley readers of publications and citations. Furthermore, it was evident that the overall altimetric attention score (AAS) does not influence the citation score of publications. Other fascinating findings were moderate collaboration patterns overall. Furthermore, the study highlighted that big data (BD) research output and scientific influence in the LIS sector are continually increasing.

Findings related to BD analytics in LIS techniques can serve as helpful information for researchers, practitioners and policymakers.

This study contributes to the current knowledge accumulation by its unique manner of blending the two approaches, bibliometrics and altmetrics.

Blockchain, a groundbreaking technology that recently surfaced, is under thorough scrutiny due to its prospective utility across different sectors. This research aims to delve into and assess the cognitive elements that impact the integration of blockchain technology (BT) within library environments.

Utilizing the Stimulus–Organism–Response (SOR) theory, this research aims to facilitate the implementation of BT within academic institution libraries and provide valuable insights for managerial decision-making. A two-staged deep learning structural equation modelling artificial neural network (ANN) analysis was conducted on 583 computer experts affiliated with academic institutions across various countries to gather relevant information.

The research model can correspondingly expound 71% and 60% of the variance in trust and adoption intention of BT in libraries, where ANN results indicate that perceived possession is the primary predictor, with a technical capability factor that has a normalized significance of 84%. The study successfully identified the relationship of each variable of our conceptual model.

Unlike the SOR theory framework that uses a linear model and theoretically assumes that all relationships are significant, to the best of the authors’ knowledge, it is the first study to validate ANN and SEM in a library context successfully. The results of the two-step PLS–SEM and ANN technique demonstrate that the usage of ANN validates the PLS–SEM analysis. ANN can represent complicated linear and nonlinear connections with higher prediction accuracy than SEM approaches. Also, an importance-performance Map analysis of the PLS–SEM data offers a more detailed insight into each factor's significance and performance.