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This study aims to investigate the mechanism of the misinformation spread based on the elaboration likelihood model and the effects of four factors – emotion, topic, authority and richness – on the depth, breadth and structural virality of misinformation spread.

The authors collected 2,514 misinformation microblogs and 142,006 reposts from Weibo, used deep learning methods to identify the emotions and topics of misinformation and extracted the structural characteristics of the spreading network using the network analysis method.

Results show that misinformation has a smaller spread size and breadth than true news but has a similar spread depth and structural virality. The differential influence of emotions on the structural characteristics of misinformation propagation was found: sadness can promote the breadth of misinformation spread, anger can promote depth and disgust can promote depth and structural virality. In addition, the international topic, the number of followers, images and videos can significantly and positively influence the misinformation's spread size, depth, breadth and structural virality.

The influencing factors of the structural characteristics of misinformation propagation are clarified, which is helpful for the detection and management of misinformation.

Building upon the framework of glocalization, the purpose of this paper is to summarize the development of National Basketball Association (NBA) in Chinese market, explore its successful and unsuccessful places, and propose strategies of glocalization for the NBA as well as other overseas sport leagues.

The current case study was organized by summarizing the developmental history of NBA in China, analyzing its current promotional practices, investigating into its marketing strategies, and extrapolating practical references for other sport leagues aiming to penetrating into the Chinese marketplace.

The current case study concluded that when facing the current challenges, the NBA needs to bring authentic American cultural commodities while adding Chinese characteristics to accommodate local fans. Meanwhile, the NBA management needs to continue seeking ways to work out and through the differences in government models and cultural contexts between China and USA. In addition, this study suggested that the research framework of glocalization would be an ever intriguing inquiry needed for other sport organizations or leagues seeking expansion to overseas markets.

A thorough case study with the NBA that has achieved huge successes in Chinese markets will provide valuable implications for sport leagues to broaden their overseas markets.

Statistical modeling has been successfully applied to integrated circuit (IC) solder joint inspection. However, there are some inherent problems in previous statistical modeling methods. This paper aims to propose an adaptive statistical modeling method to further improve the inspection performance for IC solder joints.

First, different pixels in the IC solder joint image were modeled by different templates, each of which was composed of the hue value of the pixel and a proposed template significance factor. Then, the potential defect image was obtained by adaptive template matching and the potential defect threshold for each pixel. It was noted that the number of templates, matching distance threshold, potential defect threshold and updating rate were adaptively updated during model training. Finally, the trained statistical model was used to inspect the IC solder joints by means of defect degree.

Experimental results indicated that the proposed adaptive schemes greatly contributed to the inspection performance of statistical modeling. Also, the proposed inspection method achieved better performance compared with some state-of-the-art inspection methods.

The proposed method offers a promising approach for IC solder joint inspection, which establishes different numbers of templates constructed by pixel values and template significance factors for different pixels. Also, some important parameters were adaptively updated with the updating of the model, which contributed to the inspection performance of the model.

Co-creating value with customers is important for companies in order to gain a competitive advantage. Based on resource theory and social interaction theory, the purpose of this paper is to explore the customer participation mechanism in co-creating value and test the effects of different types of customer resources and multi-level customer–firm interaction on customer value.

Data were collected from tourism industry. Hypotheses were tested using structural equation modeling.

The results indicate that both the customer’s human resource and relationship resource have a significantly positive effect on customers’ utilitarian value and hedonic value through reactive and proactive interactions. Reactive interaction has a full mediating effect on the relationship between relationship resource and proactive interaction, whereas proactive interaction has a full mediating effect on the relationship between reactive interaction and hedonic value.

This study explores the mediating effects of customer–firm interaction between customer resources and customer value. This paper contributes to the understanding of customers’ motivations for, and the processes of, participating in value co-creation.

The purpose of this paper is to propose a robot constant grinding force control algorithm for the impact stage and processing stage of robotic grinding.

The robot constant grinding force control algorithm is based on a grinding model and iterative algorithm. During the impact stage, active disturbance rejection control is used to plan the robotic reference contact force, and the robot speed is adjusted according to the error between the robot’s real contact force and the robot’s reference contact force. In the processing stage, an RBF neural network is used to construct a model with the robot's position offset displacement and controlled output, and the increment of control parameters is estimated according to the RBF neural network model. The error of contact force and expected force converges gradually by iterating the control parameters online continuously.

The experimental results show that the normal force overshoot of the robot based on the grinding model and iterative algorithm is small, and the processing convergence speed is fast. The error between the normal force and the expected force is mostly within ±3 N. The normal force based on the force control algorithm is more stable than the normal force based on position control, and the surface roughness of the processed workpiece has also been improved, the Ra value compared with position control has been reduced by 24.2%.

As the proposed approach obtains a constant effect in the impact stage and processing stage of robot grinding and verified by the experiment, this approach can be used for robot grinding for improved machining accuracy.

In international business (IB), the discussion of COVID-19-related global value chain (GVC) models driving resilience has taken momentum since May 2020. The purpose of this study is to uncover insights that the pandemic provided as a unique research opportunity, holistically, revealing the significant role of non-lead firms in GVC outcomes and resilience. This allows to extend theory as the authors critically identify impact criteria and assess interdependence and valence, thus progressing the traditional (pre-pandemic) IB view of GVC governance and orchestration.

This study opts for an integrative review to help create a much-needed extension of IB theory by means of a critical perspective on GVC theory. The authors examine the extant body of IB literature as the relevant stock of collective IB knowledge prompted by the COVID-19 pandemic, uncovering contributions – with a focus on the role of non-lead firms in orchestration and resilience – that allows to clarify what was not evident pre-pandemic. With this, the authors move the theory from its efficiency focus to a better recognition of the interdependencies of power and profit outcomes stemming from asymmetries of interrelationships. By design, the authors focus on the unique research period of the pandemic and orchestration complexities along the development of configurational arguments beyond simple correlations (Fiss, 2011), revealing key dependencies as key themes. The authors highlight further research avenues following Snyder (2019) that are called upon to strengthen that understanding and that helps extend theory.

This research provides a critical perspective on the application of the traditional IB views for GVC governance (designed for efficiency, cost and proximity to markets with pre-dominance for just in time), which has shifted during the pandemic to accommodate for adaptation and adjustment to resilience and just in case considerations. The holistic review reveals not only the key country- and multinational enterprise (MNE)-dependencies with residual impact determining the balance between just-in-time and just-in-case. Also, the authors advance the understanding of the (un)balance of the traditional GVC – focused on just-in-case rather than just-in-time through a lead and non-lead GVC participation and power lens yet rarely observed. The authors find that governance should not be construed as “management” such that it resolves into decisions undertaken in lead firms for execution in subordinate GVC participants. Autonomy allows to subsidiary units by MNE lead firms and/or exercised by (mainly, innovative) non-subsidiary GVC participant firms, is uncovered as a key driver in this. Greater delegation capacity appears to help provide resilience to loss in profit, with a recognition that there may be a dynamic trade-off between power and profit. In addition, the authors are able to identify correlations with innovation, demand elasticity, digital uptake, investment and other, that the authors trust will set the scene for additional research deepening and extending the findings.

Integrative literature reviews include a problem formulation (i.e. that is limited to published topics around an emerging theme) and are hence very focused in nature and approach. This applies to this paper. Data analysis in this method is not typically using statistical methods in contrast to meta-analyses. Also, the authors limit the sample to a relatively short time period with 33 publications analysed, purposefully focusing on the most prompt and “acute” insights into GVCs during the pandemic.

The traditional GVC governance model is designed for efficiency, cost and proximity to markets with pre-dominance for just in time. The authors reveal dependencies that are instrumental to better understand lead and non-lead interaction and relative autonomy, with a focus on residual impact determining the balance between just-in-time and just-in-case that, if in the sought equilibrium and agile, can allow alignment with context and this resilience. This paper specifically provides practical insights and visualization that highlights stages/“ripple” effects and their impact and the questions to ask as stakeholders look for GVC resilience. This includes, int.al., firms and their role as strategic agents, prompting participants through the learnings from exogenous shock to realign their strategies, redistributed manufacturing of production across subsidiary and non-subsidiary non-lead firms, greater competition and hence power for suppliers leveraging resilience and innovation, greater understanding of localization and regionalization of production of essential supplies, interaction with governments, and of investment impacts abroad especially to secure GVC participation.

The insights provided through this extension of theory with its literature review reveal the importance of aligning IB research into GVCs to factors that became visible through alternative or unusual settings, as they have the power to reveal the limitations of traditional views. In this case, a mainly efficiency-led, just-in-time focused GVC governance model is reviewed through the literature that emanated during the pandemic, with a critical perspective, which helped uncover and underline the complexities and evolution of GVC governance, providing fundamental support to solutioning the continuing global supply chain challenges that started as a result of the pandemic and are yet again accelerated by the Ukraine and Middle Eastern wars and its impact with, int.al., concerns over possible severe global food, labour/migration and resources crises. IB holds a social responsibility to help identify critical challenges from the disciplinary perspective and help advance resilience for social benefit.

This paper supports the original IB theory development by extending GVC theory into the lead – non-lead dynamics that may, under certain conditions, provide a “Resilience wall” for GVCs. The value created through insights stemming from a unique period of time for GVC is significant. It allows us thus also to pave the way to an emerging and critical research adaption looking into equilibrium, nuancing demand elasticity, better understanding trade and investment impacts along GVCs and more. By examining views on the sources of pandemic risks in a possibly unique setting, the authors offer added value from extant IB research insights by combining them, revealing the importance for GVCs to investigate not only key dependencies between the exogenous shock, i.e. context, and the impacts assessed through this literature but to further use their inherent value to create a framework for further conceptualization and extension of the traditional IB view on GVC governance. This work illustrates the urgency and importance for IB to take a timely and possibly more critical approach to the investigation of governance models that have, to date, shown some significant limitations.

The purpose of this paper is to develop a novel recommendation method using online reviews with emotional preferences for facilitating online purchase decisions. This leads to better use of information-rich online reviews for providing users with personalized recommendations.

A novel method is developed for producing personalized recommendations in online purchase decision-making. Such a method fuses the belief structure and the Shapley function together to effectively deal with the emotional preferences in online reviews and adequately tackle the interaction existent between product criteria with the use of a modified combination rule for making better online recommendations for making online purchase decisions.

An example is presented for demonstrating the applicability of the method for facilitating online purchase. The results show that the recommendation using the proposed method can effectively improve customer satisfaction with better purchase decisions.

The proposed method can better utilize online reviews for satisfying personalized needs of consumers. The use of such a method can optimize interface design, refine customer needs, reduce recommendation errors and provide personalized recommendations.

The proposed method adequately considers the characteristics of online reviews and the personalized needs of customers for providing customers with appropriate recommendations. It can help businesses better manage online reviews for improving customer satisfaction and create greater value for both businesses and customers.

The main objective of this work is to design a statistical multiple regression model that helps to empirically explain the impact of economic incentives, management style, emotional health and research activities on university professors in northern Mexico and their perception of happiness.

In this research, the authors analysed the correlation between happiness perception and four independent variables divided into two dimensions: 1. individual dimensions: emotional health and research activities and 2. organisational dimensions: economic incentives and management styles. A questionnaire was developed, tested and analysed for this matter. The authors applied this instrument to 384 university professors of both genders among 1301 in the region.

Using correlational analysis, the authors confirm a strong and statically significant relationship between all variables. It is also no evidence of multicollinearity. Finally, by applying multiple regression analysis, it was accepted that all independent variables have significance in explaining the emergence of personal happiness (R2 = 42%). Finally, the predictive equation presents possible results with values that confirm the effectiveness of the theoretical model. Results indicate that happiness perception is related to independent variables, with economic incentives being the most vital relationship.

This study's limitations are that the novel perspective of the explanatory variables of economic incentives, emotional health, management style and research activities needs additional confirmatory studies. Therefore, the authors need to perform studies with new explanatory perspectives. Another limitation of the study may be considering a cross-sectional and not a longitudinal model. This study considered it more appropriate to analyse the explanatory variables that influence and are the outcome of happiness perception for the data collected. Finally, it is essential to highlight that this research has been conducted in an underdeveloped country. Thus, it should consider conducting subsequent confirmatory studies in similar settings and other types of economies, such as in a developed country.

This paper explains the relevance of two-dimensional activities in the happiness perception of professors. As other studies mention, productivity is correlated to happiness, and production outcomes could be improved if the schools implement policies to promote this perception. Happiness could be a solid strategy to improve academic outcomes, and the results propose several actions to achieve this goal.

This paper addresses an important activity of professors from a perspective of happiness perception. Thus, putting the professor as the leading relevant agent in schools, the authors propose a multivariate analysis of the outcomes of professors' jobs. Both the schools and the professors have their own goals at their own levels. If policies are created based on persons, in this case, professors, to improve organizational goals, then it might profoundly impact social actions inside the schools.

This paper increases the literature on happiness perception studies and proposes the examination of the relationship between perceived personal happiness and dimensions that influence this perception; these are from two kinds: 1. individual dimensions: emotional health and research activities and 2. organisational dimensions: economic incentives and management styles, which is an original approach and open discussion to further new approaches to this study.

The paper aims to investigate the relationship between social responsibility and equity in China. In the process, the authors utilize data on corporate social responsibility (CSR) reports (in particular, information disclosure) and equity capital (focusing on cost). The overarching hypothesis may be phrased simply as: is CSR reporting rewarded by the capital market in China?

The data of 3,012 list corporations in China securities are used and 1,015 CSR report quality scores (Rankins CSR Ratings) are hand-gathered from HEXUN (Web site) and utilized in the process of developing the model; financial and stock market information is obtained from the Wind database and the China Stock Market and Accounting Research database.

The authors’ results suggest that overall the quality of CSR report is strongly, negatively related with the cost of capital: the higher the quality of social responsibility information disclosure, the lower the cost of equity capital. Most intriguingly, the authors find a sharp contrast between the government-owned corporations (state-owned enterprises) and privately owned, listed corporations. The quality of CSR reporting has a much higher impact in lowering the cost of equity capital for privately owned corporations. In contrasting the results for mandatory versus voluntary CSR disclosure, the quality of CSR reporting for the latter does not have any higher impact in lowering the cost of equity.

Good social responsibility behavior by corporations and their subsequent information disclosure has beneficial financial impacts. In the authors’ research, the authors showed its immediate impact to be in the lowering of the overall corporate cost of equity. In this regard, the authors would recommend that chief executive officers pay more attention to CSR practice and its disclosure. Private firms issuing CSR reports will benefit from much lower financing costs through the capital market.

Due to the structure of capital markets in China, the authors are able to show that CSR reporting of privately owned, listed corporations have much more effective signaling power. On the basis of the authors’ empirical findings in relation to the quality of CSR reporting and its impact on cost of capital, the authors suggest there is greater scope for research which takes a “finance and society” perspective. Based on more extensive research, such a perspective may enable scholars to orientate finance and finance research toward a model of “socio-capitalism”.

This study aims to explore the dissemination and evolutionary path of online public opinion from a crisis management perspective. By clarifying the influencing factors and dynamic mechanisms of online public opinion dissemination, this study provides insights into attenuating the negative impact of online public opinion and creating a favorable ecological space for online public opinion.

This research employs bibliometric analysis and CiteSpace software to analyze 302 Chinese articles published from 2006 to 2023 in the China National Knowledge Infrastructure (CNKI) database and 276 English articles published from 1994 to 2023 in the Web of Science core set database. Through literature keyword clustering, co-citation analysis and burst terms analysis, this paper summarizes the core scientific research institutions, scholars, hot topics and evolutionary paths of online public opinion crisis management research from both Chinese and international academic communities.

The results show that the study of online public opinion crisis management in China and internationally is centered on the life cycle theory, which integrates knowledge from information, computer and system sciences. Although there are differences in political interaction and stage evolution, the overall evolutionary path is similar, and it develops dynamically in the “benign conflict” between the expansion of the research perspective and the gradual refinement of research granularity.

This study summarizes the research results of online public opinion crisis management from China and the international academic community and identifies current research hotspots and theoretical evolution paths. Future research can focus on deepening the basic theories of public opinion crisis management under the influence of frontier technologies, exploring the subjectivity and emotionality of web users using fine algorithms and promoting the international development of network public opinion crisis management theory through transnational comparison and international cooperation.