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The purpose of this paper is to explore consumers’ intention to purchase genetically modified (GM) food from the perspective of risk information.

A conceptual model was proposed in which intention to purchase GM food is stimulated by the combination and complex effects of knowledge, risk perception, information need, information seeking and attitude. A face-to-face questionnaire survey was conducted in Jinan, Shandong Province. A total of 757 valid samples (55.6 percent of women vs men) were involved to conduct structural equation model analysis.

Results demonstrated that attitude is the most important predictor of intention to purchase GM food. Attitude, in turn, is predicted by risk perception and information seeking. Risk perception is a significant determinant of information need and information seeking. Moreover, information need influences information seeking. Finally, knowledge plays a critical role in risk perception and intention. Overall, the explained variance of the model is 66 percent.

The study provides new insights explaining intention to purchase GM food by constructing a conceptual model from the perspective of risk information. In this model, knowledge, risk perception, information need and information seeking are all based on information related to GM food, resulting in attitude and intention to purchase.

This study investigates the economic outcomes of the strategic deviation (SD), the fundamental and crucial question in institutional theory and strategic management. Previous studies have yielded contradictory findings. This study reconciles conflicting results by distinguishing the effects of the SD on financial and market performance, examining the mechanism of financing constraints and the boundary condition of institutional investor heterogeneity.

This research collected data from Chinese A-shares listed manufacturing firms from 2009 to 2021 from the CSMAR and Wind databases. This study conducted empirical tests using OLS models with Stata 15.

Empirical results demonstrate that the SD has different impacts on different dimensions of performance. The SD negatively impacts financial performance while positively impacts market performance. Financing constraints mediate the main effects. Moreover, transactional institutional investors positively moderate the negative effect of the SD on financial performance, whereas stable institutional investors negatively moderate the positive effect of the SD on market performance.

By systematically revealing how the SD has different effects on financial and market performance, this study reconciles the debate on the SD between institutional theorists and strategy scholars. This research makes contributions to the research stream by providing reasonable explanations for conflicting conclusions. Furthermore, by introducing the overlooked perspective of financing constraints, this research identifies crucial mediating mechanisms and highlights the double-edged effect of financing constraints, enriching our understanding of financing constraints. Finally, this study investigates the moderating effects of institutional investor heterogeneity, thereby making valuable contributions to the comprehension of boundary conditions.

Signalling theory suggests how “strong” or “weak” the signal quality detected by a receiver (defined as signalling strength) is distorted by noisy factors (defined as noise). Although corporate cooperation signals are known to lead to receiver reaction, the effects of distortion factors on signal credibility are generally unexplored in signalling process. The paper aims to discuss this issue.

After analysing 264 contract announcements in 2013–2015 that befall publicly listed firms in China, the authors explore the signalling impact of contract value. the authors also incorporate the signalling noises, namely, signalling environment, external referents and other signallers, into the contracting context and investigate their effects on distorting the relationship between signal strength and receiver reaction.

Results indicate that firms’ contract-signing announcement conveys an effective signal to investors: the larger the contract scale is, the more investor reaction the firms experience. The signalling effects of contract scale on investor reaction are moderated by the three distorting factors.

The findings contribute to the signalling theory literature on the effects of signalling noise on receivers’ perception of signal observability.

The conclusions on the importance of corporate response timing to a crisis have remained inconsistent. Some studies suggest that active response may reduce negative impacts, whereas managers argue that issuing official response frustrates stakeholders and thus decreases the firm value. The purpose of this paper is to investigate the role of external media in the response timing strategy and the consequent stock market reaction.

Based on 130 corporate crises that befell publicly listed firms in China from 2007 to 2014, this paper uses the Baidu News Search Engine and Chinese Lexical Analysis System to construct the variables of the media characteristics. A structural equation model is established to test the hypotheses.

The results of this paper suggest that media coverage drives response timing after a crisis. Although an official response is a burden for firms, the timing strategy has multidimensional benefits including effectively alleviating negative effects (defined as buffering effects) and repairing the market (defined as restoring effects). Moreover, the buffering effects of response timing are stronger when completeness of response is low.

This study mainly contributes to crisis communication literature by introducing the role of media in prompting managers to make timing decisions. The findings of this study provide empirical support for the importance of timing response strategy.

Efficient traffic incident management is needed to alleviate the negative impact of traffic incidents. Accurate and reliable estimation of traffic incident duration is of great importance for traffic incident management. Previous studies have proposed models for traffic incident duration prediction; however, most of these studies focus on the total duration and could not update prediction results in real-time. From a traveler’s perspective, the relevant factor is the residual duration of the impact of the traffic incident. Besides, few (if any) studies have used dynamic traffic flow parameters in the prediction models. This paper aims to propose a framework to fill these gaps.

This paper proposes a framework based on the multi-layer perception (MLP) and long short-term memory (LSTM) model. The proposed methodology integrates traffic incident-related factors and real-time traffic flow parameters to predict the residual traffic incident duration. To validate the effectiveness of the framework, traffic incident data and traffic flow data from Shanghai Zhonghuan Expressway are used for modeling training and testing.

Results show that the model with 30-min time window and taking both traffic volume and speed as inputs performed best. The area under the curve values exceed 0.85 and the prediction accuracies exceed 0.75. These indicators demonstrated that the model is appropriate for this study context. The model provides new insights into traffic incident duration prediction.

The incident samples applied by this study might not be enough and the variables are not abundant. The number of injuries and casualties, more detailed description of the incident location and other variables are expected to be used to characterize the traffic incident comprehensively. The framework needs to be further validated through a sufficiently large number of variables and locations.

The framework can help reduce the impacts of incidents on the safety of efficiency of road traffic once implemented in intelligent transport system and traffic management systems in future practical applications.

This study uses two artificial neural network methods, MLP and LSTM, to establish a framework aiming at providing accurate and time-efficient information on traffic incident duration in the future for transportation operators and travelers. This study will contribute to the deployment of emergency management and urban traffic navigation planning.

The purpose of this paper is to frame an empirical model with the priority of implementing soft critical successful factors (CSFs) of total quality management (TQM) in Chinese manufacturing companies.

In total, 23 hypotheses regarding the relationships among TQM factors and business results have been developed through literature review and are tested using the structural equation modelling (SEM). The data used in this study are collected from 228 manufacturing companies in the central area of China.

Of the 23 hypotheses, 11 were statistically significant, and according to the empirical results a conceptual framework complying to Chinese condition is constructed and discussed in the finding parts to group soft CSFs of TQM into different levels of importance.

Researchers can use the framework to further study soft CSFs of TQM in detail, and extend it to explore their impact mechanism for a clearer and deeper understanding of the TQM.

The empirical framework for soft CSFs of TQM provides a new perspective for managers to implement the soft CSFs and optimise the quality management system of their manufacturing companies.

This research uses multiple, distinct indicators for each soft factor to test an elaborate SEM model of the relationships among them, according to the empirical results constructs a holistic framework classifying the importance level of soft CSFs of TQM, which is novel and subjected with Chinese condition and manufacturing characteristics.

This research aims to explore ways to build a corporate media reputation by sponsoring a sports event (i.e. a marathon), by examining the effects of communication intensity, CEO commitment and cause fit that are most conducive to helping a sponsor gain media reputation benefits.

An empirical study of 122 Chinese marathon title sponsorships is employed that explores the relationship between sponsorship attributes and media reputation construction from the perspective of cause-related marketing theory. Hypotheses are tested with hierarchical regression and interaction analysis.

The results show that a high level of sponsorship communication intensity, the proximity of the sponsor to a sport property, the level of CEO commitment and the level of cause fit contribute to the media reputation of enterprise sponsors. Further analysis also reveals the different interaction effects of technical fit and institutional fit in the process.

This research has practical implications related to sport sponsorship management for event organizers and business operators that seek to promote the healthy and dynamic operations of the sponsor market. Several suggestions for future studies and strategies to increase the media reputation benefits can be drawn from the results of this paper. Sports sponsoring is a process of system engineering and strategic planning, and the integration and coordination of various types of resources are needed.

This study advances the current research about the impact of sponsorship attributes on the media reputation of sports sponsors. The differentiation and exploration of the two kinds of cause fit (i.e. technical fit and institutional fit) expand the dimension of fit in the field of sponsorship. Furthermore, this research provides an in-depth understanding of the mechanism that determines the media reputation benefits that sponsors can reap from a property's activities.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

There is a truth universally acknowledged by customers on the wrong end of a corporate crisis, which is, no matter how big the problem caused, the organization in charge will not tell you what on earth is going on. Whether it is a delayed flight, denied access to a bank account or a cancelled train, there always seems to be an inherent reluctance on behalf of corporations to tell consumers what the problem is and keep open those lines of communication.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

This study aims to present the critical role of knowledge management in digital entrepreneurship by reviewing the literature and proposing future research directions for digital entrepreneurship and knowledge management through an interdisciplinary framework.

This study uses the Derwent Data Analyzer to identify and visualise the extant studies on digital entrepreneurship. This study qualitatively analyses the hot topics and trends in digital entrepreneurship research to understand digital entrepreneurship from the knowledge management perspective.

The authors found two dominant trends in existing research: logical and development trend exploration at the theoretical background and empirical research at the practical dimension. To understand digital entrepreneurship from a knowledge management perspective, the authors summarised the theoretical logic and internal and external reasons why knowledge management is required in digital entrepreneurship. Moreover, the authors analysed the new features of digital entrepreneurship under five aspects: management concept, object, content, scope and focus. The authors concluded that existing research on integrating knowledge management and digital entrepreneurship is primarily conducted from three perspectives: technology, platform and ecosystem.

This study provides an in-depth analysis of digital entrepreneurship from a knowledge management perspective. The findings can further promote the theoretical research and practical development of digital entrepreneurship and knowledge management. This approach provides a new direction for interdisciplinary study and enriches entrepreneurship research. In addition, this study proposes a knowledge management framework for digital entrepreneurship research. The findings contribute to understanding the role and function of knowledge management in digital entrepreneurship.

This study aims to show the importance of natural convection of supercritical fluid in an inclined cavity. The heat transfer performance of natural convection can be improved.

A model of an inclined cavity was set up to simulate the natural convection of supercritical fluid. The influence of inclined angles (30 to approximately 90°) and pressures (8 to approximately 12 MPa) are analyzed. To ascertain flow and heat transfer of supercritical fluid natural convection, this paper conducts a numerical investigation using the lattice Boltzmann method (LBM), which is proven to be precise and convenient.

The results show that the higher heat transfer performance can be obtained with an inclined angle of 30°. It is also presented that the heat transfer performance under pressure of 10 MPa is the best. In addition, common criterion number correlations of average Nusselt number are also fitted.

These study results can provide a theoretical reference for the study of heat transfer of supercritical fluid natural convection in engineering.