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Key core technology is the most important weapon of the country, and breaking through the “strangled” problem is one of the real problems that China’s emerging industries and enterprises must solve. Accurately identifying the “strangled” problem will help China accelerate the realization of high-level scientific and technological self-reliance and win the battle against key core technologies.

Combined with the characteristics of key core technologies, the key core technology evaluation system was constructed from four dimensions: technology innovation, technology radiation, technology economy and technology safety. We adopt the entropy TOPSIS method to evaluate the patents, and the patents with the top 5% scores are identified as key core technology patents. Then, this study identifies key core technology “strangled” problems in three dimensions: technology value advantage, competitive advantage and quantitative advantage.

Taking the patent data of the global new generation information technology industry from 2011 to 2023 as a sample, 178 moderately “strangled” technologies and 49 severely “strangled” technologies are selected. The study results are consistent with the current situation of the new generation information technology industry’s development, and verify the feasibility and reliability of the key core technology “strangled” problem identification model.

This study uses patent data to identify key core technologies and “Strangled” in the new generation information technology industry. It can provide a reference for relevant national departments and agencies, as well as universities and enterprises.

The purpose of this study is to provide a holistic understanding of the factors that either promote or hinder the adoption of artificial intelligence (AI) in supply chain management (SCM) and operations management (OM). By segmenting the AI lifecycle and examining the interactions between critical success factors and critical failure factors, this study aims to offer predictive insights that can help in proactively managing these factors, ultimately reducing the risk of failure, and facilitating a smoother transition into AI-enabled SCM and OM.

This study develops a knowledge graph model of the AI lifecycle, divided into pre-development, deployment and post-development stages. The methodology combines a comprehensive literature review for ontology extraction and expert surveys to establish relationships among ontologies. Using exploratory factor analysis, composite reliability and average variance extracted ensures the validity of constructed dimensions. Pearson correlation analysis is applied to quantify the strength and significance of relationships between entities, providing metrics for labeling the edges in the resource description framework.

This study identifies 11 dimensions critical for AI integration in SCM and OM: (1) setting clear goals and standards; (2) ensuring accountable AI with leadership-driven strategies; (3) activating leadership to bridge expertise gaps; (4) gaining a competitive edge through expert partnerships and advanced IT infrastructure; (5) improving data quality through customer demand; (6) overcoming AI resistance via awareness of benefits; (7) linking domain knowledge to infrastructure robustness; (8) enhancing stakeholder engagement through effective communication; (9) strengthening AI robustness and change management via training and governance; (10) using key performance indicators-driven reviews for AI performance management; (11) ensuring AI accountability and copyright integrity through governance.

This study enhances decision-making by developing a knowledge graph model that segments the AI lifecycle into pre-development, deployment and post-development stages, introducing a novel approach in SCM and OM research. By incorporating a predictive element that uses knowledge graphs to anticipate outcomes from interactions between ontologies. These insights assist practitioners in making informed decisions about AI use, improving the overall quality of decisions in managing AI integration and ensuring a smoother transition into AI-enabled SCM and OM.

The purpose of this teaching case is to introduce students to an alternative business model as practiced by the Haier Group, a Chinese company, and how that model was used to turn around an acquired company in the United States of America (USA). The explicit teaching objectives are threefold. First, the case provides insights into Haier’s unique employee-centered culture. Second, Haier’s efforts to transfer parts of its culture to the newly acquired General Electric (GE) Appliance Division are discussed. Third, to improve the performance of the acquired division, Haier had to invest in people, equipment and new product technology.

This case is based on both primary and secondary research. The authors interviewed the chief executive officer. In addition, one of the authors spent a week in China observing and participating in meetings at the Haier Group. Both before and after the interviews, the authors searched both print and electronic media for additional information.

The case describes how Haier, a large Chinese appliance manufacturer, learned from its own difficult growth in building an employee- and client-driven organization. Haier was able to transfer key aspects of its culture, management practices and technology to help turnaround the well-known American appliance brand GE. The results of the first five years have been financially successful and investment in new product technology (Smart Home) bodes well for the future.

This case represents only one successful turnaround of one acquisition, GE Appliances, by the Haier Group in the USA. Whether the changes introduced would work with other acquisitions in other countries is unknown. Thus, additional follow-up research needs to be done.

This case brings into question the traditional, hierarchical, bureaucratic, spreadsheet-driven model of management that is the predominant model taught and practiced in the USA. Others, such as Gary Hamel and Michele Zanini, have also raised the same question. This case introduces readers to another way and is just one more example of how managers who practice a high engagement style and share financial success with workers can outperform those who do not.

This case documents the introduction of nontraditional management and human resource management practices by a foreign, Chinese company, into what at one time had been a highly regarded division of a traditional major American corporation. GE had become known for strident labor-management relationships. The employees’ acceptance of the alternative approach to management was in doubt prior to the acquisition, but over the past five years, the labor–management relationship appears to have improved as well as the profitability of the division.

Although the acquisition of the GE Appliance Division by the Haier Group has been widely reported in the press, knowledge of how the acquisition was successfully turned around from a money-losing GE Division to a profitable and growing portion of the Haier Group has been largely ignored in both the popular press and in instructional material for the classroom. This case study seeks to ameliorate the latter deficiency.

This study proposes a novel algorithm based on the finite volume method for simulating groundwater flows and presents the practical application of this method in geotechnical engineering.

The matrix-free implicit iteration method based on the finite volume method and preconditioning conjugate gradient algorithm was used to discretize and solve the groundwater seepage governing equation. Implicit residual smoothing and GPU parallel techniques were utilized to speed up the computation with the solver.

The new method was assessed and evaluated using benchmark and typical infiltration cases. Both the analytical solutions and solutions of the commercial software GEO-Studio were used to verify the accuracy of the proposed algorithm. The speedup performance of the GPU parallel algorithm was also well reflected.

The results demonstrate that the new algorithm is simple and practical, with fast convergence and high accuracy and can satisfy engineering application requirements.

This study aims to investigate how the frame orientation format and visual content of tourism short videos interact to influence tourists’ travel intention.

Two scenario-based experiments were designed and conducted through Credamo. The researchers enrolled 187 participants for Study 1 using convenience sampling, measuring the impact of video frame orientation and visual content on travel intention by conducting a two-factor analysis of covariance. Study 2 retested the interaction effect using 237 sample data and conducted bootstrapping to examine the serially mediating effect of imagery fluency and travel inspiration.

Frame orientation formats and visual content interactively affect the video audience’s travel intention: For site-centric tourism short videos, the horizontal frame orientation format can help inspire audiences’ travel intention; However, for activity-centric tourism short videos, the vertical frame orientation format is more suitable. Imagery fluency and travel inspiration have serially mediated effects in the above interactions.

Destination marketers can use a combination of vertical format and activity-centric content (or horizontal format and site-centric content) to ensure the marketing effectiveness of short videos.

This study explores how frame orientation and visual content interact to influence video audiences’ travel intention. The findings challenge the traditional understanding of frame orientation selection in short videos, provide a meaningful extension of construal-level theory and contribute to the research on visual effects in short tourism videos.

本文旨在研究旅游短视频的画面方向格式和视觉内容如何交互影响游客的出游意愿。

本研究利用见数平台开展了两个情景实验。实验1招募了187名被试者, 利用双因素方差分析测量了视频画面方向和视觉内容对出游意愿的交互效应。实验2利用237个样本数复测了交互效应, 并验证了图像流畅性和旅游灵感对上述交互效应的链式中介作用。

框架方向格式和视觉内容交互影响视频受众的旅游意向：对于以景点为中心的旅游短视频而言, 水平方向的画面形式有助于激发受众的出游意愿; 但对于以活动为中心的旅游短视频而言, 垂直方向的画面形式更为适合。在上述交互作用中, 图像流畅度和旅游灵感具有链式中介效应。

目的地营销人员可以将垂直格式和以活动为中心的内容（或水平格式和以景点为中心的内容）结合起来使用, 以确保短视频的营销效果。

本研究探讨了框架取向和视觉内容如何相互作用并影响视频受众的出游意愿。研究结果挑战了关于短视频中画面方向选择的传统理解, 为旅游短视频构图相关理论提供了有意义的延伸, 并为旅游短视频中视觉效果的研究做出了贡献。

Este estudio investiga cómo el formato de orientación del marco y el contenido visual de los vídeos cortos turísticos interactúan para influir en la intención de viaje de los turistas.

Se diseñaron y llevaron a cabo dos experimentos basados en escenarios a través de Credamo. Los investigadores reclutaron a 187 participantes para el Estudio 1 mediante un muestreo de conveniencia, y midieron el impacto de la orientación del fotograma de vídeo y el contenido visual en la intención de viajar realizando un análisis de covarianza de dos factores. El Estudio 2 volvió a probar el efecto de interacción utilizando 237 datos de muestra y realizó bootstrapping para examinar el efecto de mediación en serie de la fluidez de las imágenes y la inspiración para viajar.

Los formatos de orientación de los fotogramas y el contenido visual influyen de forma interactiva en la intención de viajar del público del vídeo: Para los vídeos turísticos de corta duración centrados en un lugar, el formato de orientación horizontal puede ayudar a inspirar la intención de viajar del público; sin embargo, para los vídeos turísticos de corta duración centrados en una actividad, el formato de orientación vertical es más adecuado. La fluidez de las imágenes y la inspiración para viajar tienen efectos mediados en serie en las interacciones mencionadas.

Los responsables de marketing de destinos pueden utilizar una combinación de formato vertical y contenido centrado en la actividad (o formato horizontal y contenido centrado en el sitio) para garantizar la eficacia de marketing de los vídeos cortos.

Este estudio explora cómo la orientación del encuadre y el contenido visual interactúan para influir en la intención de viaje de los espectadores de vídeos. Los resultados cuestionan la interpretación tradicional de la selección de la orientación del encuadre en los vídeos cortos, proporcionan una ampliación significativa de la teoría del nivel de construcción y contribuyen a la investigación sobre los efectos visuales en los vídeos turísticos cortos.

The purpose of this study is to explore how digital construction policy (DCP) drives enterprise green innovation (EGI) from an information processing theory (IPT) perspective, including the mediating mechanisms of market information accessibility and operational risk, the moderating role of intellectual property protection (IPP) and product market competition (PMC) and the heterogeneous effects of ownership, Internet development and managerial ability.

Based on the matched panel data of A-share listed enterprises from 2011 to 2019 and the Broadband China policy as a quasinatural experiment, this study investigates the impact of DCP on EGI by constructing a multi-time point difference-indifferences (DID) model.

Digital construction policies can significantly promote EGI. DCP works in two fundamental ways, namely by increasing market information accessibility and reducing operational risk. IPP and PMC significantly increased the contribution of digital construction policies to EGI. Heterogeneity analysis found that digital technology has a stronger promotion effect for SOEs, high-managerial-ability enterprises and enterprises in regions with low Internet development levels.

The study provides new insights about the antecedents of EGI from a DCP perspective. It also enlightens emerging economies to actualize green innovation under the digital wave.

From the perspective of IPT, this study explains the mechanism of DCP-driven EGI. It enhances understanding of the relationship between DCP and EGI.

We attempt to construct a grey three-way conflict analysis model with constraints to deal with correlated conflict problems with uncertain information.

In order to address these correlated conflict problems with uncertain information, considering the interactive influence and mutual restraints among agents and portraying their attitudes toward the conflict issues, we utilize grey numbers and three-way decisions to propose a grey three-way conflict analysis model with constraints. Firstly, based on the collected information, we introduced grey theory, calculated the degree of conflict between agents and then analyzed the conflict alliance based on the three-way decision theory. Finally, we designed a feedback mechanism to identify key agents and key conflict issues. A case verifies the effectiveness and practicability of the proposed model.

The results show that the proposed model can portray their attitudes toward conflict issues and effectively extract conflict-related information.

By employing this approach, we can provide the answers to Deja’s fundamental questions regarding Pawlak’s conflict analysis: “what are the underlying causes of conflict?” and “how can a viable consensus strategy be identified?”

Since the implementation of the regulatory inquiry system, research on its impact on information disclosure in the capital market has been increasing. This article focuses on a specific area of study using Chinese annual report inquiry letters as the basis. From a text mining perspective, we explore whether the textual information contained in these inquiry letters can help predict financial restatement behavior of the inquired companies.

Python was used to process the data, nonparametric tests were conducted for hypothesis testing and indicator selection, and six machine learning models were employed to predict financial restatements.

Some text feature indicators in the models that exhibit significant differences are useful for predicting financial restatements, particularly the proportion of formal positive words and stopwords, readability, total word count and certain textual topics. Securities regulatory authorities are increasingly focusing on the accounting and financial aspects of companies' annual reports.

This study explores the textual information in annual report inquiry letters, which can provide insights for other scholars into research methods and content. Besides, it can assist with decision making for participants in the capital market.

We use information technology to study the textual information in annual report inquiry letters and apply it to forecast financial restatements, which enriches the research in the field of regulatory inquiries.

The continuous upgrading of new technologies and rapid changes in their external environment have made organizations more dependent than ever on the ability of their employees to quickly identify problems and make timely course corrections. This dependency is not limited to individual employee voice but extends to the collective voice of the team. In the Chinese context, collective silence prevails. Following social identity theory, this study aims to explore the mechanisms and conditional processes underlying the relationship between team faultlines and team voice behavior and examine whether there are differences between the effects of objective and perceived faultlines.

The proposed model was tested through questionnaires with 377 team members from 71 teams, which were conducted through team leader–member pairing survey. The correlation and hierarchical stepwise regression analyses were used to test the hypotheses rigorously, and the questionnaire data was analyzed using SPSS 26.0, AMOS 25.0 and R 3.6.1.

The results show that both objective and perceived faultlines have a negative impact on team voice behavior and that the latter has a stronger negative effect. Team psychological safety mediates the relationship between team faultlines and team voice behavior. In addition, benevolent leadership, moral leadership and Zhongyong thinking positively moderate the negative effect of objective faultlines on team voice behavior; Zhongyong thinking also moderates the mediating effect of team psychological safety on the relationship between objective faultlines and team voice behavior.

The results of this study provide a deeper understanding of team faultlines and team voice behavior, and practical implications are provided for managers and future researchers to improve voice behavior in organizations.

This paper aims to investigate how institutional entrepreneurs in a mature field acquire different forms of legitimacy through various narrative strategies, as revealed by a historical analysis of the Late Qing Dynasty of China. Specifically, the study seeks to illuminate the narrative techniques employed by these entrepreneurs to build multi-level legitimacies for their new systems during the national crises of the late 19th century.

This study employs a qualitative approach based on three historical case studies of Westernization, namely advocates, reformists and revolutionaries during the Late Qing Dynasty of China. It delves into the institutional entrepreneurial activities of these groups, investigating how they navigated and influenced their sociopolitical context through narrative strategies.

The findings reveal that institutional entrepreneurs utilize various narrative techniques to build legitimacy. These include (1) modifying and disseminating narratives at the proper time, (2) ascribing their proposed system to cultural tradition by reinterpreting classical works and (3) offering understandable and concrete promises to stakeholders. The study also identifies an evolving pattern of narratives underpinned by mutual learning and continuous iteration among different factions of institutional entrepreneurs.

This paper adds new insights to the literature on institutional entrepreneurs and, more broadly, to institutional research literature by advancing our understanding of the discursive dynamics underlying institutional changes. It unveils the complex interplay of narrative techniques and legitimacy building in the context of societal and institutional upheaval, providing a nuanced understanding of the role of narratives in institutional entrepreneurship.