The improvement of legal system,entrepreneur immigration,and corporate cash holdings

This study investigates the relationship between controlling persons' foreign residency rights and the cash holdings of non-state-owned listed firms in China from 2005 to 2018. Our findings indicate that the immigration status of entrepreneurs affects the amount of cash held by their firms, as it reduces legal costs in a weak legal system. This result remains robust under propensity score matching, instrumental variable method, and Heckman two-stage regression. What is more, the improvement of the legal system moderates the impact of entrepreneur immigration on corporate cash holdings, deters their short-sighted tunneling, and motivates them to put more effort into long-term innovation. This study enhances our understanding of the behavioral patterns of immigrant entrepreneurs and contributes to the literature on corporate cash holdings and upper echelons by highlighting the role of the legal system in improving their behavior in emerging markets.     

Consumers buying behaviour towards agri-food products: A mixed-method approach

This study aims to identify the factors that can influence consumer purchasing behaviour in the context of agri-food. Based on the Stimulus-Organism-Behaviour-Consequence theory, this study proposed a model to explain purchasing behaviour that included environmental factors as well as a set of cognitive processes. This study adopted a mixed method approach and in the first stage, a qualitative analysis was conducted to extract the constructs for the study. In the second stage, the quantitative analysis was performed by means of CB-SEM using 891 responses collected through a survey. This resulted in identifying the factors that influence agri-food purchasing behaviour. According to the findings, health consciousness and food safety concerns in the form of a stimulus have a positive relationship with agri-food image, agri-food label, and agri-food benefits acting as the organism. Similarly, the three organisms have a positive relationship with trust. Ethnocentrism is also found to have positive and significant association with trust. The combination of trust and ethnocentrism has consequences, in the form of agri-food purchase behaviour. The study's findings have significant implications for marketers and marketing strategists.     

创新要素投入产出效率随机变动测度与结果分析

创新要素配置在投入产出两个环节中生成大量不完全技术信息，投入产出效率随机变动更加明显。从投入产出数据集合中提炼共同因子，与不可观测变量构成预测器，建立因子增广向量自回归模型(FAVAR)，分析随机变动方差构成，测度投入产出效率随机变动程度。随机变动效应包括水平效应、稳定性效应和规模效应。投入产出效率自回归扰动项表示随机变动程度，将其细分为共同因子，计算预测器方差及其与投入产出效率的协方差。基于669家上市公司月度、季度、半年度和年度技术研发数据，比较分析投入产出效率随机变动程度及形成原因，引入脉冲响应法分析变量方差构成与变动特征，提出相关政策建议。     

Is similarity a constraint for service-to-service brand extensions?

Are service brands constrained in launching new service offerings? Both research evidence and managerial wisdom suggest brands should extend to similar categories. However, in five studies using real-life brands - four experiments and one large-sample survey - we provide evidence that similarity is less of a constraint for service brands extending to other service categories (service-to-service extensions), compared to cases involving parent brands or extension categories of a product nature. Importantly, we demonstrate that such an effect occurs because service brands possess associations relevant across the spectrum of service categories. Our results suggest that service brand managers have the opportunity to stretch their brands to dissimilar service offerings; yet, they need to ensure the marketing execution does not make the brands’ service associations inaccessible to consumers. The findings suggest that even product brands can build service associations by adding service components to their offering, thus becoming “servitized” and better able to extend to dissimilar service categories. Overall, our work contributes to the academic debate documenting that the principles governing the management of product vs. service brands are not identical.     

Innovation under debtor-friendly institutional policy: Strategic patenting perspective of Chinese listed firms

Drawing on insights from the strategic patenting perspective, we examine the impact of debtor-friendly institutional policy on the innovation behavior of firms. We argue that while conventional wisdom indicates the negative impact of debt on patent counts, debt financing based on a set of weak creditor rights may lead firms to apply for more patents at the expense of the innovativeness of those patents. By analyzing financial data and patenting information of the Chinese listed firms, we show that debt financing motivates firms to apply for more patents while both R&D intensity and the portion of innovative patent applications diminish. These effects are more pronounced among firms more adversely exposed to China's debtor-friendly institutional policy. Our paper extends the scope of innovation financing studies by demonstrating that firms behave strategically in the context of state policies, in this case by privileging patent quantity over quality.     

Performance effects of innovation in two-sided markets: The paradigmatic case of OTAs

Online Travel Agents (OTAs) play an important intermediary role in the two-sided travel distribution market. A critical factor that enhances a firm's competitive advantage is innovation. Yet, the analysis of innovation in the OTA context is scarce. The main objective of this article is to fill this gap and examine the effect of OTA innovations on firm performance. We analyze the effect of two-sided market specific innovations (same-side and cross-side) on performance and contribute to the literature by expanding the theoretical understanding of innovations. We find that producer-to-consumer innovations have a greater effect on OTA performance than producer-to-producer and consumer-to-consumer innovations. A fundamental managerial implication is that exchange management is an area to be enhanced when innovating in travel market distribution.     

Green consumption behavior prediction based on fan-shaped search mechanism fruit fly algorithm optimized neural network

Predicting consumption behavior is very important for adjusting supplier production plans and enterprise marketing activities. Conventional statistical methods are unable to accurately predict green consumption behavior because it is characterized by multivariate nonlinear interactions. The paper proposes an optimized fruit fly algorithm (FOA) and extreme learning machine (ELM) model for consumption behavior prediction. First, to address the problem of uneven search direction of FOA leading to insufficient search ability and low efficiency, the paper proposes a sector search mechanism instead of a random search mechanism to improve the global search ability and convergence speed of FOA. Second, to address the issue that the initial weights and hidden layer bias values of the ELM are randomly generated, which affects the learning efficiency and generalization of the ELM, the paper uses an improved FOA to optimize the weights and bias values of ELM for improving the prediction accuracy. Taking the green vegetable consumption behavior of Beijing residents as an example, the results show the optimization of the initial weight and threshold of ELM by the GA, PSO, FOA, and SFOA, the prediction accuracy of the GA-ELM, PSO-ELM, FOA-ELM, and SFOA-ELM models all surpass those of ELM. Compared with BPNN, GRNN, ELM, GA-ELM, PSO-ELM, and FOA-ELM models, the RMSE value of SFOA-ELM was decreased by 9.45%, 8.40%, 11.89%, 5.84%, 2.22%, and 2.69%, respectively. These findings demonstrate the effectiveness of the SFOA-ELM model in green consumption behavior prediction and provide new ideas for the accurate prediction of consumption behaviors of other green products with similar characteristics.     

Effects of augmented reality technology characteristics on customer citizenship behavior

In recent years, augmented reality (AR) technology has received considerable attention from academics and practitioners. Although AR technology has a bright side, its dark side has been relatively overlooked. Therefore, this study aimed to investigate the effects of AR technology characteristics on customer citizenship behavior via two conflicting mechanisms: customer immersion and customer fatigue. The study also explored the boundary conditions of customer experience. A total of 247 questionnaires were collected from customers who had prior experience of using IKEA's AR mobile shopping application. A structured model was analyzed using SmartPLS 3 and PROCESS Macro for mediation and moderated mediation effects. The study enriches the current knowledge on AR technology by demonstrating that AR technology can lead to customer citizenship behavior in relation to a brand's AR technology. Interestingly, customer immersion was found to positively mediate the relationship, but customer fatigue was found to negatively mediate it. Furthermore, customer experience was found to strengthen the positive mediation effect of customer immersion and weaken the negative mediation effect of customer fatigue.     

The new wave of AI-powered luxury brands online shopping experience: The role of digital multisensory cues and customers’ engagement

Academic literature retains a dearth of empirical evidence of the cutting-edge aspect of artificial intelligence (AI)-powered digital assistance and digital multisensory cues, despite the prospect of these factors on real-life customers' luxury brand online shopping experience. Thus, the aim of this study is to examine the significant pathway and effects of AI-powered digital assistance toward customers’ luxury brand online shopping experience. Drawing on S–O-R (Stimulus, organism, and response) and TRAM (Technology Readiness and Acceptance Model) paradigm, a multi-method research design was deployed to investigate constructs. Firstly, semi-structured interviews were utilized to explore customers' online behavior under the luxury brands and information technology aspect. Secondly, survey data were collected and analyzed by using partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA). The PLS-based analysis of quantitative data confirmed the exploratory insights of qualitative findings, establishing the connections of AI-powered digital assistance, customer engagement, and customers' luxury brand online shopping experience. Research findings also suggest that customer engagement plays a mediation role in the relationship between AI-powered digital assistance and customers' luxury brand online shopping experience. Besides, digital multisensory cues moderate the relationship between AI-powered digital assistance and customer engagement. Further, fsQCA complements the findings of PLS-SEM that reveal the significant combination of factors that lead to the perceptions of customers' luxury brand online shopping experience.