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The aim of this study is to investigate the impact of local political uncertainty on the asymmetric cost behavior (i.e. cost stickiness) for listed firms in China.

In this study, the authors manually collect the turnover data of prefecture-city officials as a measure of exogenous fluctuations in political uncertainty and obtain firm-level financial information from the China Stock Market Accounting Research (CSMAR) database. To perform the analysis, the authors augment the traditional cost stickiness model by including the interaction terms of the prefecture-city official turnover, and firm-level and prefecture-city level control variables.

The authors find that political turnover leads to a higher degree of cost stickiness, implying that firms retain slack resources when political uncertainty is high. Moreover, the effect of political turnover on cost stickiness is more pronounced for firms residing in regions with weaker institutional environments, and firms that are privately owned and with smaller size. The authors further provide evidence that policy uncertainty and the threat of losing political connection are two underlying channels. Overall, this study documents that the local political process is an important channel that influences corporate operational decisions.

This study provides the first piece of evidence on the relation between political uncertainty and cost stickiness at the local government level. Moreover, the authors propose and demonstrate two underlying channels through which political uncertainty affects firms' asymmetric cost behavior.

Which venture capital is more beneficial in the product innovation of entrepreneurial ventures? The authors study the drawbacks and different effects of corporate venture capital (CVC) and independent venture capital (IVC) on the effectiveness and efficiency of product innovation in entrepreneurial ventures to answer this question.

This study uses a panel dataset of 502 high-tech ventures and runs the Heckman model to correct potential endogeneity issues.

The authors find that CVC increases the product innovation effectiveness of entrepreneurial ventures, but decreases their efficiency. IVC reduces innovation effectiveness and enhances efficiency. However, CVC performs less positively, while IVC performs more positively in terms of innovation effectiveness and efficiency in the B2B market than in the B2C market.

This study provides insights into how to leverage venture capital to develop new products effectively and efficiently.

This study moves beyond the current understanding of the finance-marketing interface. It delineates the two faces of venture capital and reveals the joint effects of equity stakes and market stakes between different types of venture capital and transaction markets in product innovation.

Mechanisms of deposition and declogging are considered while formulating a new continuum model for bioconvection in a dilute suspension of motile, negatively geotactic microorganisms in a porous medium. According to research in 1988, bioconvection is the name given to pattern‐forming convective motions set up in suspensions of swimming microorganisms. “Negative geotaxis” means that the microorganisms tend to swim against the gravitational force. This paper is motivated by experimental research by Kessler who investigated the effect of porous media on the development of convection instability in algal suspensions. In the model suggested in this paper, the decrease of permeability due to cell adsorption by the porous medium is considered and the influence of this permeability decrease on the development of bioconvection is studied. The existence and stability of a two‐dimensional plume in a rectangular enclosure with stress‐free sidewalls is investigated. Governing equations include the Darcy law as well as the microorganism conservation equations. A conservative finite‐difference scheme is utilized to solve these equations numerically. The analysis of the proposed model reveals that the major factors affecting the development of bioconvection are the initial permeability of the porous medium and the rate of cell deposition. For small permeability, the resistance to the fluid flow is too large, and bioconvection does not develop. If the rate of cell deposition is too large, the number of suspended cells quickly becomes too small because of cell capturing by the porous medium. For this reason, the critical density difference in the top fluid layer cannot be reached, and bioconvection does not develop.

The purpose of this study is to investigate the effect of company characteristics such as the level of financial distress, client size and type of auditor on the propensity to issue modified audit opinions and to assess comparative differences in audit opinions during two significant economic crises in Turkey.

Logistic regression model is used to test the incremental contribution of each company characteristic on issuing the type of audit opinion for crisis periods. Additionally, to understand the reasons for differences in audit opinions between two types of crisis periods, the authors adopt Francis and Krishnan’s (2002) approach in which an auditor’s propensity to issue modified opinion may be jointly based on changes in client characteristics and auditor reporting strategies in that period.

The results indicate that there is a positive relationship between financial distress and the likelihood of receiving modified opinions in both crisis periods. Additionally, client size affects audit opinions negatively in both periods significantly. Auditors show higher propensity to issue a modified opinion during the domestic than the global financial crisis period, which could be explained by the changes in client characteristics more than their reporting strategy.

This study provides supportive evidence that the company characteristics including the financial distress can be very useful predictors for the auditors’ decisions while issuing their opinions.

The findings of different auditor behaviors during crises periods and possible reasons are the main contributions of this study for international and domestic regulators, investors, audit firms, academics and standard setters in emerging economies.

Servitization is a business transformation that increases service provision in manufacturers. This study aims to empirically examine how a manufacturer's global supply chain dependence and its power positions affect its servitization output.

This study employs secondary longitudinal datasets and econometric specifications to test the relationship between global supply chain dependence and servitization. It further examines the moderating roles of the firm's market power and the degree of being principal customers and principal suppliers. Heterogeneity analyses are performed to verify the robustness of the results.

The findings indicate that fewer global suppliers and more global customers contribute to a higher level of servitization. The negative effect of global supplier dependence is mitigated when manufacturers have less market power and are the principal customers for most of their suppliers. The positive effect of global customer dependence is stronger when manufacturers have less market power and their customers are less dependent on the manufacturers.

Data mixing manufacturing and service inputs and data on public US manufacturers may restrict the generalizability of the findings. Nonetheless, the study urges future research to focus more on other countries/markets.

This study encourages manufacturers who servitize their businesses to connect with more global customers and fewer global suppliers and manage powers among stakeholders. Other recommendations for policymakers and industry associations are also proposed.

This study is the first to explore the impacts of the global supply chain dependence on servitization. Multiple-level findings offer important implications for researchers and practitioners.

Several review articles have been published within the Artificial Intelligence (AI) literature that have explored a range of applications within the tourism and hospitality sectors. However, how efficiently the applied AI methods and algorithms have performed with respect to the type of applications and the multimodal sets of data domains have not yet been reviewed. Therefore, this paper aims to review and analyse the established AI methods in hospitality/tourism, ranging from data modelling for demand forecasting, tourism destination and behaviour pattern to enhanced customer service and experience.

The approach was to systematically review the relationship between AI methods and hospitality/tourism through a comprehensive literature review of papers published between 2010 and 2021. In total, 146 articles were identified and then critically analysed through content analysis into themes, including “AI methods” and “AI applications”.

The review discovered new knowledge in identifying AI methods concerning the settings and available multimodal data sets in hospitality and tourism. Moreover, AI applications fostering the tourism/hospitality industries were identified. It also proposes novel personalised AI modelling development for smart tourism platforms to precisely predict tourism choice behaviour patterns.

This review paper offers researchers and practitioners a broad understanding of the proper selection of AI methods that can potentially improve decision-making and decision-support in the tourism/hospitality industries.

This paper contributes to the tourism/hospitality literature with an interdisciplinary approach that reflects on theoretical/practical developments for data collection, data analysis and data modelling using AI-driven technology.

The purpose of this paper is to present an overview of revenue management (RM) studies that focus on information technology (IT) and consumer behavior published between 2008 and 2018.

In total, 112 articles published in 17 journals were identified and analyzed.

This study shows the importance of IT and RM and focuses on the consumer perspective. It also emphasizes that technology is not the enemy of humans: it complements and adds value to their existing jobs.

Book chapters and conference proceedings related to IT and RM were not included in this study. Besides, only journal papers published in English were included in the study. The categorizing of subjects can be seen as subjective.

This study helps researchers discover articles from 2008 to 2018 and helps hospitality executives interested in RM technologies from the demand side to use these findings in their business environment.

Based on the interaction between service providers (hotels) and users (consumers) on IT and RM platforms, the paper identified eight key components that have been relevant over the past decade.

本论文旨在介绍2008年至2018年之间的财务管理（RM）研究中涉及信息技术（IT）和消费者行为的文献综述。

本研究样本为发表在17个期刊的共112篇文章。

研究结果指出了IT和RM的重要性, 以及对消费者方面的重视。此外, 本研究还指出了技术不是人类的敌人– 技术能够弥补以及对人类原有的工作增添价值。

本研究未将涉及IT和RM的书和会议文章纳入样本。此外, 只有英文的期刊文章构成研究样本。对研究样本的主题归类是主观性的。

本论文梳理了2008年至2018年发表的文献, 以及帮助酒店实践者们对RM科技从需求方面更了解其商务环境。

本论文基于服务供应者（酒店）和用户（消费者）在IT和RM交互平台上, 提出了过去十年中相关的八大关键因素。

The purpose of this paper is to evaluate green buildings from the angle of greenness and improve the evaluation system. And the matter-element extension method is used to evaluate the greenness of green buildings, in order to provide useful references for the evaluation system of green buildings.

First, this paper studies the aspects of safety and durability, health and comfort, living convenience, resource-saving, environmental liability and ecological quality, etc. For the first time, carbon emission is included in the evaluation system, 18 key evaluation indexes are determined by using the Delphi method, and the green building evaluation index system is established. Then, the combined weight method is proposed to determine the weight of each evaluation index, and the greenness evaluation model of green building is established with the matter-element extension method. Finally, taking Beijing Daxing International Airport as an example, the evaluation model of green building greenness was established to evaluate the building.

In this paper, the greenness evaluation model of green building established by the matter-element extension method solves the problem of incompatibility between qualitative and quantitative material elements in multi-factor evaluation. It makes the evaluation indexes more accurate and objective relative to the affiliation calculation of the evaluation set and improves the scientific, accuracy and reliability of the evaluation model.

In this paper, for the first time, carbon emission-related indicators are included in the green building evaluation system, which makes the evaluation system more perfect. In addition, a more scientific extension matter-element method is used to evaluate the greenness of green buildings, breaking the previous rough star evaluation method.

Environmental degradation resulting from human activities may adversely affect human health in multiple ways. Until now, policies aimed at mitigating environmental problems such as climate change, environmental pollution and damage to biodiversity have failed to clearly identify and drive the potential benefits of these policies on health. The conducted study assesses and demonstrates how specific environmental policies and instruments influence perceived human health in order to ensure input for a data-driven decision process.

The study was conducted for the 2004–2020 period in European Union (EU) countries with the use of dynamic panel data modeling. Verification of specific policies' impact on dependent variables allows to indicate this their effectiveness and importance. As a result of the computed dynamic panel data models, it has been confirmed that a number of significant and meaningful relationships between the self-perceived health index and environmental variables can be identified.

There is a strong positive impact of environmental taxation on the health index, and the strength of this relationship causes effects to be observed in the very short term, even the following year. In addition, the development of renewable energy sources (RES) and the elimination of fossil fuels from the energy mix exert positive, although milder, effects on health. The reduction of ammonia emissions from agriculture and reducing noise pollution are other health-supporting factors that have been shown to be statistically valid. Results allow to identify the most efficient policies in the analyzed area in order to introduce those with the best results or a mix of such measures.

The results of the authors' research clearly indicate the health benefits of measures primarily aimed at improving environmental factors, such as environmental taxes in general. The authors have also discovered an unexpected negative impact of an increase in the share of energy taxes in total taxes on the health index. The presented study opens several possibilities for further investigation, especially in the context of the rapidly changing geopolitical environment and global efforts to respond to environmental and health challenges. The authors believe that the outcome of the authors' study may provide new arguments to policymakers pursuing solutions that are not always easily acceptable by the public.

This study aims to analyze the influence of farmers’ degree of participation in collective action on their adoption decisions and waiting time regarding soil and water conservation (SWC) measures.

The Probit model and Generalized Propensity Score Match method are used to assess the effect of the degree of participation in collective action on farmers’ adoption decisions and waiting time for implementing SWC measures.

The findings reveal that farmers’ engagement in collective action positively influences the decision-making process regarding terrace construction, water-saving irrigation and afforestation measures. However, it does not significantly impact the decision-making process for plastic film and ridge-furrow tillage practices. Notably, collective action has the strongest influence on farmers’ adoption decisions regarding water-saving irrigation technology, with a relatively smaller influence on the adoption of afforestation and terrace measures. Moreover, the results suggest that participating in collective action effectively reduces the waiting time for terrace construction and expedites the adoption of afforestation and water-saving irrigation technology. Specifically, collective action has a significantly negative effect on the waiting time for terrace construction, followed by water-saving irrigation technology and afforestation measures.

The results of this study underscore the significance of fostering mutual assistance and cooperation mechanisms among farmers, as they can pave the way for raising funds and labor, cultivating elite farmers, attracting skilled labor to rural areas, enhancing the adoption rate and expediting the implementation of terraces, water-saving irrigation technology and afforestation measures.

Drawing on an evaluation of farmers’ degree of participation in collective action, this paper investigates the effect of participation on their SWC adoption decisions and waiting times, thereby offering theoretical and practical insights into soil erosion control in the Loess Plateau.