Do firms lease to hedge? CEO risk-taking and operating lease intensity

Operating leases are used extensively for financing, but their ability to separate ownership and use also creates hedging opportunities. We investigate whether firms recognize such opportunities by examining the relation between chief executive officer (CEO) risk-taking incentives and the use of operating leases. Consistent with firms using operating leases to hedge, we find higher CEO risk-taking incentives lower operating lease intensity. To address endogeneity, we use the adoption of Statement of Financial Accounting Standards 123R as an exogenous shock to option compensation, dynamic panel generalized method of moments, simultaneous equations, and change regressions. Our results are robust to placebo and alternative tests.     

Low-carbon decision-making model of online shopping supply chain considering the O2O model

A demand function of online shopping supply chain based on online-to-offline (O2O) fusion degree is proposed by considering the low-carbon awareness of online shoppers in view of the low-carbon decision making of supply chain in combination with the O2O operation background. On this basis, a low-carbon decision-making model based on online stores and their suppliers is established, and the application of the model is analyzed. Results show that the promotion of low-carbon operation is efficient when the consistency of online and offline operations of online stores and their suppliers is high. In addition, the decision making considering the cost of carbon information release is highly conducive to improving the low-carbon awareness of online shoppers if the low-carbon level of online shopping goods is lower than the low-carbon standard. Accordingly, the low-carbon operation of online shopping supply chain will be promoted.     

Measuring ease of use of mobile applications in e-commerce retailing from the perspective of consumer online shopping behaviour patterns

Scientifically judging and comparing different mobile e-commerce retailing applications (apps) are essential to increase online shopping efficiency and enhance design for system improvement. In this research, the use of mobile apps in e-commerce retailing is viewed as an information operation process, and distance of information-state transition (DIT) theory is introduced to measure the “convenience” of mobile apps to obtain service information. Thus, a novel DIT-based evaluation method for the ease of use of mobile apps in e-commerce retailing from the perspective of consumer online shopping behaviour patterns is proposed. Three representative Chinese enterprises, namely, Tianmao Mall, Jingdong Mall and Suning Easy-to-buy, are chosen as study objects. Moreover, the corresponding ease-of-use indicators of three mobile apps under typical online shopping behaviour patterns are evaluated quantitatively. Results show that this research has important implications not only for online consumers but also for designers of online shopping systems.     

On linking the perceived values of mobile shopping apps,customer well-being,and customer citizenship behavior: Moderating role of customer intimacy

Marketing studies that seek to determine the drivers of Customer Citizenship Behavior (CCB) are still relatively rare, especially for its multi-faceted relationship with perceived values in the context of online transactions. This study seeks to bridge this research gap by exploring the relationship between the perceived values of mobile shopping applications (MSApps) and CCB through perceived well-being based upon the social exchange theory. This study also makes another original contribution by investigating the moderating role of customer intimacy. A quantitative approach was adopted by collecting data through a web survey and then applying structural equation modelling, as well as cluster and multigroup analyses to test the proposed hypotheses. Perceived values were found to influence consumer well-being, thus predicting CCB, with consumer intimacy playing a significant moderating role in this relationship. This study is one of a few seeking to verify the drivers of CCB for MSApps, and it is the first of its kind to investigate consumer intimacy as a moderating factor. The findings will prove useful to providers of MSApps and retailers.     

How household food shopping behaviors changed during COVID-19 lockdown period: Evidence from Beijing,China

The COVID-19 pandemic has had a great impact on food shopping behavior. However, changes in food shopping behavior and related decision-making mechanisms remain unexplored. This study conducted a face-to-face questionnaire survey with 900 residents in three communities in Haidian, Beijing, China, to analyze food shopping behavior during the periods of pre-lockdown, lockdown (January–March 2020), and post-lockdown. Our results indicated that the preference for fresh food e-commerce shopping was accelerated by the lockdown with the usage rate increasing by 48%; the wet markets were seriously hit by the lockdown policy and had not fully recovered by the post-lockdown period (with a 75% reduction in the usage rate during lockdown). The psychological mechanisms of changes in food shopping behavior revealed that the context (e.g., community facilities) and the perceived risk of COVID-19 were two significant factors impacting the four shopping choices investigated. Specifically, the context factors affected behavior directly for supermarkets and convenience stores and indirectly for e-commerce and wet markets. The findings are expected to help in guiding emergency responses during a future pandemic as well as the long-term construction of food supply facilities.     

Exploring the acceptance of instant shopping – An empirical analysis of the determinants of user intention

This article deals with the novel technology of instant shopping. As this technology has yet to be considered in a scientific context, the article first defines the term instant shopping, distinguishing it from m-commerce and s-commerce. The article then gives an overview on acceptance studies in the context of e-commerce that have been conducted over the last five years. Building on this, the Technology Acceptance Model (TAM) is adapted and operationalized for the current context. One result of the study in this article, conducted among Instagram users on the topic of instant shopping, showed that perceived enjoyment has a particularly strong impact on the intention to use.     

非资产型TPL提供者合同仓租赁决策研究

非资产型第三方物流提供者在整合社会资源时,如何做出最优的购买决策是文章研究的主题。文章构建了非资产型第三方物流提供者租赁分包商合同仓的三种决策模型,通过计算比较,认为最有利于非资产型第三方物流提供者的决策是双方不签订框架协议,并由其优先决定仓租面积和合同调整的时间,其次是由分包商优先决定合同调整的时间,但双方不签订框架协议。     

Is econometrics useful for private policy making? A case study of replacement policy at an auto rental company

The goal of this paper is to illustrate the potential usefulness of econometrics as a tool to assist private policy makers. We provide a case study and detailed econometric analysis of the automobile replacement policy adopted by a large car rental company. Unlike public policy making–where the benefits from using econometric models and “science-based” approaches to policy making are hard to quantify because the outcomes of interest are typically subjective quantities such as “social welfare”–in the case of firms there is an objective, easily quantifiable criterion for judging whether policy A is better than policy B: profits. We introduce and estimate an econometric model of the rental histories of individual cars in the company’s fleet. Via stochastic simulations, we show that the model provides a good approximation to the company’s actual operations. In particular, the econometric model is able to reproduce the extraordinarily high rates of return that the company obtains on its rental cars, with average internal rates of return between purchase and sale of approximately 50%. However, the econometric model can simulate outcomes under a range of counterfactual vehicle replacement policies. We use the econometric model to simulate the profitability of an alternative replacement policy under pessimistic assumptions about the rate maintenance costs would increase and rental rates would have to be decreased if the company were to keep its rental cars longer than it does under the status quo. Depending on the vehicle type, we find that the company’s expected discounted profits would be between 6% to over 140% higher under the suggested alternative operating strategy where vehicles are kept longer and rental rates of older vehicles are discounted to induce customers to rent them. The company found this analysis to be sufficiently convincing that it undertook an experiment to verify the predictions of the econometric model.     

工程机械企业融资租赁风险分析与评价

根据工程机械企业的特点,通过对融资租赁的风险分析,构建了风险预警指标体系。在此基础上,运用多级模糊综合评判法,提出工程机械企业开展融资租赁的风险评价模型。     

Do Audit Clients Successfully Engage in Opinion Shopping? Partner‐Level Evidence

This study investigates whether companies engage in audit opinion shopping activities by exerting influence over an audit firm's decision to switch the engagement partner (“partner‐level opinion shopping”) in the Chinese setting, where the identities of engagement partners are publicly disclosed. Adopting the empirical framework developed by Lennox [2000], we show evidence that companies successfully engage in partner‐level opinion shopping. Further, partner‐level opinion shopping is more likely to be successful if a company is economically important to an audit firm, and it is less likely to be successful if the audit firm is formed as a partnership rather than a corporation. We also find that companies successfully engaging in partner‐level opinion shopping exhibit significantly lower earnings quality. Finally, we directly compare audit records between incoming and outgoing partners and find that, for companies that successfully improve audit opinions after partner switching, incoming partners have a significantly higher propensity to issue clean opinions than their outgoing counterparts.