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The purpose of the research is to assess the risk of the financial market in the digital economy through the quantitative analysis model in the big data era. It is a big challenge for the government to carry out financial market risk management in the big data era.

In this study, a generalized autoregressive conditional heteroskedasticity-vector autoregression (GARCH-VaR) model is constructed to analyze the big data financial market in the digital economy. Additionally, the correlation test and stationarity test are carried out to construct the best fit model and get the corresponding VaR value.

Owing to the conditional heteroscedasticity, the index return series shows the leptokurtic and fat tail phenomenon. According to the AIC (Akaike information criterion), the fitting degree of the GARCH model is measured. The AIC value difference of the models under the three distributions is not obvious, and the differences between them can be ignored.

Using the GARCH-VaR model can better measure and predict the risk of the big data finance market and provide a reliable and quantitative basis for the current technology-driven regulation in the digital economy.

Open innovation (OI) has become increasingly popular as an enterprise strategy in both industry and academia, and has been adopted, at least in part, by many companies. Despite this popularity, there is a dearth of evaluation of OI efficiency and a lack of suitable quantitative indices. The paper aims to discuss these issues.

In this study, the authors used both data envelopment analysis (DEA) and Malmquist techniques to compare the pre- and post-transition levels of performance achievement of Procter & Gamble (P&G), a widely recognised and public early adopter of OI, with a group of its main competitors.

Most detailed analysis of the time-course revealed that the innovation efficiency of P&G improved rapidly and substantially after its embracing of OI, an effect we term the “open rise”. However, there is also a transient decline in R&D efficiency at the beginning of OI adoption (“open dip”) and an unexpected and marked decline (“open drop”) after the peak positive effect.

The quantitative methods appear to meet the needs identified in the preceding literature for more quantitative approaches to the measurement of OI.

The study employs two independent experimental studies to collect data. It focuses on the matching effect between advertising appeals and product types. The Elaboration Likelihood Model serves as the theoretical framework for understanding the cognitive processing involved in consumers' responses to these advertising appeals and product combinations.

This paper aims to investigate the impact of advertising appeals on consumers' intentions to purchase organic food. We explored the interaction between advertising appeals (egoistic vs altruistic) and product types (virtue vs vice) and purchase intention. The goal is to provide insights that can enhance the advertising effectiveness of organic food manufacturers and retailers.

The analysis reveals significant effects on consumers' purchase intentions based on the matching of advertising appeals with product types. Specifically, when egoistic appeals align with virtuous products, there is an improvement in consumers' purchase intentions. When altruistic appeals match vice products, a positive impact on purchase intention is observed. The results suggest that the matching of advertising appeals with product types enhances processing fluency, contributing to increased purchase intention.

This research contributes to the field by providing nuanced insights into the interplay between advertising appeals and product types within the context of organic food. The findings highlight the importance of considering the synergy between egoistic appeals and virtuous products, as well as altruistic appeals and vice products. This understanding can be strategically employed by organic food manufacturers and retailers to optimize their advertising strategies, thereby improving their overall effectiveness in influencing consumers' purchase intentions.

This study aims to explore conditions for the application of blockchain-enabled financing versus traditional prepayment. It seeks to understand how a short food supply chain can choose more efficient financing pattern under loan risk compensation policy, crucial for designing an optimal short food supply chain.

Employing Stackelberg game, decisions of the short food supply chain regarding the adoption of different financing patterns are modeled. The theoretical model’s outcomes are validated using data from the Ministry of Agriculture and Rural Affairs of China, including publicly available market prices and costs of soybeans and wheat over the past decade. Adjusted market prices are derived using consumer price index for residential prices to eliminate the impact of inflation.

The loan risk compensation rate, prepayment discount rate, blockchain-enabled financing interest rate and distribution of crop output create three distinct scenarios, prompting members of the short food supply chain to form various financing pattern preferences. Simultaneously, loan risk compensation effectively improves supply chain performance. Moreover, the impact of risk compensation is more pronounced at lower output rates.

This research emphasizes that the blockchain-enabled financing pattern is not always dominant. Government departments can shape the financing pattern preferences of supply chain members by adjusting risk compensation rate, thereby promoting the application of the blockchain-enabled financing pattern. This paper contributes to the literature on the adoption of blockchain technology for financing short food supply chain by delving into the issue of financing pattern selection.

This study aims to conduct a “real-time” investigation with user-generated content on Twitter to reveal industry challenges and business responses to the coronavirus (Covid-19) pandemic. Specifically, using the hospitality industry as an example, the study analyses how Covid-19 has impacted the industry, what are the challenges and how the industry has responded.

With 94,340 tweets collected between October 2019 and May 2020 by a programmed Web scraper, unsupervised machine learning approaches such as structural topic modelling are applied.

This study contributes to the literature on business response during crises providing for the first time a study of using unstructured content on social media for industry-level analysis in the hospitality context.

The aim of this study was to analyze the effects of carbon reduction efforts and preservation efforts on system benefits in the cold chain industry of fresh products.

This study develops an optimal decision game model for the fresh products in the cold chain, incorporating the retailer's preservation effort and the supplier's carbon emission reduction effort. It quantifies the relationship between carbon emission reduction effort, preservation effort and system profit. The model considers parameters like carbon trading price, consumer low-carbon preference and consumer freshness preference, reflecting real-world conditions and market trends. Numerical simulations are conducted by varying these parameters to observe their impact on system profit.

Under the carbon cap-and-trade policy, the profit of the fresh cold chain system is higher than that of the fresh cold chain system without carbon constraints, and the profit of the supplier under decentralized decision-making is increased by nine times in the simulation results. The increase in carbon trading prices can effectively improve the freshness level of fresh products cold chain, carbon emission reduction level and system profit.

This study comprehensively considers the factors of freshness and carbon emission reduction, provides the optimal low-carbon production decision-making reference for the fresh food cold chain and promotes the sustainable development of the fresh food cold chain.

The authors examine whether Chinese banks use loan loss provisions (LLPs) for capital management, income smoothing and signaling purposes, and assess the effect of the recent regulatory changes following the implementation of Chinese Basel III on such behavior.

The authors use a unique set of hand-collected data on bank capital combined with financial data downloaded from the China Stock Market and Accounting Research (CSMAR) database. Multivariate regression models are used to test our hypotheses.

The authors find that while there is no evidence to suggest capital management practice before the Chinese Basel III, the implementation of the new regulations induced listed banks to manage tier-1 capital via LLPs. The authors also find strong support that Chinese banks engage in income smoothing via LLPs management, and there is no change in such tendency following the issuance of Chinese Basel III. Lastly, the authors do not find support for the signaling behavior by Chinese banks using LLPs.

The authors’ evidence suggests that elevated tier-1 capital and provisioning requirements may induce capital management by banks, which indicates a potential unintended effect brought forth by the new Basel regulations.

To the best of authors’ knowledge, this study is the first to examine Chinese banks' behavior relating to LLPs in terms of capital management, income smoothing and signaling. In particular, the authors use a sample containing a large number of Chinese commercial banks – previously a major data issue in other studies.

This study examines the collaborative impact of networking capability and balanced agile project management (APM) on firm performance through the mediating role of market orientation and business process agility of medium and large telecommunication technology providers in Indonesia.

Research data were collected from the executive management of telecommunication technology providers in Indonesia via a questionnaire survey to obtain 150 valid questionnaires for analysis. This study analyzed the overall model fit and causal relationship using confirmatory factor analysis (CFA) and structural equation modeling (SEM).

The results indicate that market orientation fully mediates the link between networking capability-business process agility and balanced APM-business process agility. Furthermore, business process agility mediates the relationship between market orientation and firm performance.

This study is based on a cross-sectional nature and might fail to capture the dynamic of the studied variables over an extended period.

The study extends the knowledge that dynamic capabilities, represented by networking capability and balanced APM, must be framed by market orientation to create customer value and improve bargaining position. However, market orientation alone is not enough in a highly dynamic business environment. Organization also requires business process agility, responsiveness and adaptability to timely address customers' needs and requirements.

Management is a “hot field” in China, yet little has been written in English about the history of management in China. Contrary to contemporary management literature, the paper aims to show that Chinese entrepreneurs and managers were exposed to modern management ideas from the early twentieth century. The paper is an initial exploration of the transfer of managerial knowledge to China, especially Scientific Management, during the interwar period.

Draws on Chinese journal articles and books from 1910‐1930s, supplemented with archive materials and secondary sources in Chinese and English.

Chinese industrialists, officials and academics were attracted to Taylor's ideas of scientific management during the 1920s and 1930s, which were experimented with on a wider scale than is commonly realized. The interest in “new” management extended beyond industrialists and industry officials to reportage in the popular press.

Future research should consider first how new ideas about management and organization were implemented on the shopfloor in individual Chinese enterprises, and second examine the role of social networks constituted by native place, industry ties and professional association membership in the diffusion of managerial ideas among the Chinese business elite of the period.

The paper shows that the transfer to China of modern management as an ideas system was not a recent phenomenon, but part of a century‐long process of transfer and adaptation of western management theory and practice.