消费者对大型超市的商店印象与其忠诚行为关系实证研究

商店印象对消费者购物行为有重要的影响。本文在我们先前对商店印象与顾客忠诚关系研究的基础上,将商店印象与顾客忠诚的构面展开,进一步研究了商店印象的实体、经济、时间与便利性和社会心理构面与顾客认知忠诚、情感忠诚、意向忠诚和行为忠诚之间的关系,并通过在全国收集的803份有效样本,运用结构方程模型对理论模型进行了实证检验,全面揭示了商店印象各构面与四类顾客忠诚之间的关系。     

Comparing theories to explain e-commerce adoption

E-commerce is a strategy for rapid growth, especially by small and medium sized businesses (SMEs). However, the adoption rate of e-commerce by SMEs in Latin America is still undersized. The authors compare the theory of planned behavior (TPB) and the theory of reasoned action (TRA) using structural equation modeling to determine which is better at predicting e-commerce adoption intentions among 210 SME managers/owners in Chile. Contrary to previous research with American respondents, the study does not find significant differences between the two theories. Thus, academics should select the more parsimonious model (TRA) to study e-commerce adoption issues in developing countries.     

家庭结构对农地流转意愿的影响——基于结构方程模型的实证分析

研究目的:分析家庭结构对农民流转土地意愿的影响,并揭示其内部机理的形成,以期为土地流转政策的完善提供参考。研究方法:因子分析法和结构方程模型。研究结果:(1)家庭人口特征、土地使用特征、户主个体特征及家庭决策特征4类外源潜变量会显著影响农地流转意愿;(2)可观测变量对外源潜变量的解释能力较强,其中,家庭总人口、实际经营及流转土地面积、户主年龄、家庭内部矛盾解决方式分别对这4类外源潜变量的解释能力相对较好,即家庭总人口越多、实际经营及流转土地面积越小、户主年龄越大、依赖于内部解决矛盾的家庭更愿意流转农地。研究结论:家庭结构主要通过主动依赖、扶养压力、收入偏好、农地保障、决策信息5种机理对流转意愿产生影响,未来土地流转政策的完善应重视解决这些问题。     

Economic freedom and bilateral direct investment

Economic freedom (freedom from the intervention of government) is essential for doing business, so economic freedom of both the home country and the host country are important for bilateral foreign direct investment. However, though some literature has investigated the role of host country's economic freedom in bilateral direct investment, no literature has studied the role of home country's economic freedom. This paper has studied this issue in a gravity model with a sample of 155 countries. This paper has also employed some effective estimation techniques of gravity model to incorporate the zero observations and adopted quantile regression method. The findings indicate that economic freedom of both the home country and the host country are positively correlated with bilateral direct investment, and the economic freedom of home country has even stronger explanatory power for foreign direct investment. Hence, promoting the economic freedom may encourage more outward foreign direct investment than inward direct investment.     

Price Effects on Compound Commodities

We examine the effect of simultaneous price changes on the total demand for a group of goods, which we call a compound commodity. Specifically, we consider unit and proportional cost components (e.g., taxes, transportation costs) imposed on compound commodities. If the unit cost is positive, then the proportional cost raises the relative price of the more expensive good, and thus induces substitution towards the less expensive good within this group. Then, the substitution effect of the proportional cost for a compound commodity is non‐negative if and only if the compound commodity and the other goods are, on average, not strongly substitutable.     

The characteristic function of rough Heston models

It has been recently shown that rough volatility models, where the volatility is driven by a fractional Brownian motion with small Hurst parameter, provide very relevant dynamics in order to reproduce the behavior of both historical and implied volatilities. However, due to the non‐Markovian nature of the fractional Brownian motion, they raise new issues when it comes to derivatives pricing. Using an original link between nearly unstable Hawkes processes and fractional volatility models, we compute the characteristic function of the log‐price in rough Heston models. In the classical Heston model, the characteristic function is expressed in terms of the solution of a Riccati equation. Here, we show that rough Heston models exhibit quite a similar structure, the Riccati equation being replaced by a fractional Riccati equation.     

Could lean practices and process innovation enhance supply chain sustainability of small and medium‐sized enterprises?

Small and medium‐sized enterprises (SMEs) adopt lean practices (LP) to reduce waste across their organisational value chain, which helps achieve sustainability. Process innovation (PI) has also been applied through cleaner production, environmental management system, ecodesign, and so on to address both customers' needs and legislations by policymakers. Although prior studies reveal the effect of sustainable practices, LP, and PI on sustainable performance separately, less is known on the integrated effect of them on sustainability performance. Moreover, studies on mediating effect of LP and PI on sustainability performance are scant. This is significant as LP and PI are considered to be the enablers for achieving sustainability performance. This research addresses this knowledge gap. The research first theorises a model integrating these four major constructs (sustainability practices, LP, PI, and sustainability performance) through hypotheses development. Subsequently, using structural equation modelling, it is tested whether each of sustainability practices, LP, and PI effect sustainability performances. Additionally, mediating effect of LP and PI between sustainability practices and performances is derived. The study uses data from 119 SMEs within manufacturing industries in the Midlands, United Kingdom. Further, a few case studies have been undertaken to validate the findings from quantitative analysis. The overall results show that although sustainability practices, LP, and PI help achieve sustainability performance of SMEs supply chain through efficiency and responsiveness respectively, the mediating effect LP is more compared with PI. Moreover, SMEs adopt LP when they are economy focused and implement PI when they are pressurised by customers and/or policymakers.     

Intertemporal substitution in the Spanish economy: Evidence from regional data

This paper studies the intertemporal substitution in consumption and leisure for the Spanish economy by estimating the first‐order conditions of an individual optimization model with regional and aggregate data. While first‐order conditions determining intertemporal substitution in consumption show a good econometric fit, and the value we obtain for the intertemporal elasticity of substitution is similar to previously available results, the econometric fit of the intertemporal condition in leisure indicates that the behaviour of the Spanish labour supply over the cycle is more complex than can be explained by the canonical intertemporal choice model.     

The effect of controversial global sourcing practices on the ethical judgments and intentions of U.S. consumers

Global sourcing has led to lower cost and more effective supply chains for many companies. However, when the cost-driven practices of many suppliers in these chains come to light there is often considerable debate over the ethics of these practices. This research uses the well-known Hunt–Vitell framework as the theoretical foundation for a structural equation model of the deontological and teleological evaluations used by consumers when making ethical judgments of a firm's controversial cost-driven global sourcing practices. Data from a large-scale U.S. consumer survey show the importance of deontological and teleological evaluations in forming consumers’ ethical judgments of global sourcing practices, and establish a strong relationship between ethical judgment and the intention of consumers to alter consumption of a firm's products. Extensions to the framework and demographic analyses for age, gender, and income provide insights as to how perceptions of these practices affect consumer evaluations of a company involved in global sourcing and how consumers actualize their resultant intentions.     

Varying Coefficient Regression Models: A Review and New Developments

Varying coefficient regression models are known to be very useful tools for analysing the relation between a response and a group of covariates. Their structure and interpretability are similar to those for the traditional linear regression model, but they are more flexible because of the infinite dimensionality of the corresponding parameter spaces. The aims of this paper are to give an overview on the existing methodological and theoretical developments for varying coefficient models and to discuss their extensions with some new developments. The new developments enable us to use different amount of smoothing for estimating different component functions in the models. They are for a flexible form of varying coefficient models that requires smoothing across different covariates' spaces and are based on the smooth backfitting technique that is admitted as a powerful technique for fitting structural regression models and is also known to free us from the curse of dimensionality.