Determinants of economic and social satisfaction in manufacturer-distributor relationships

The aim of this work is to examine the dimensions of satisfaction in manufacturer-distributor relationships as well as identifying the antecedents of both the economic and the non-economic dimensions of satisfaction. A literature review about satisfaction in marketing channels is followed by quantitative research into how this interchange process is perceived by food product distributors in their relationships with manufacturers. The results provide strong support for the impact of communication, trust and commitment on satisfaction, as well as the interrelationships among the economic and the non-economic dimensions of satisfaction. Theoretical and managerial implications are extracted from these findings.     

An institutional analysis of supply chain innovations in global marketing channels

The adoption of sophisticated supply chain innovations by trading partners in global channels of distribution is often limited by the institutional context of the international transaction. In particular, the regulatory, normative, and cultural-cognitive elements of institutional environments around the world can enhance or inhibit the ability of trading partners to craft the contractual, ownership, and social elements of institutional arrangements required by an innovation. Because supply chain innovations often require costly, new investments and activity sets, firms may be reluctant to participate in an innovation unless a new institutional arrangement can be crafted to provide adequate safeguards and guarantees. A conceptual model is developed to explain the role of institutions in the successful deployment of supply chain innovations in global marketing channels.     

The Impact of SFAS No. 114 on the Linear Information Dynamic for Commercial Banks

Increase (decrease) in loan loss provisions would decrease (increases) bank earnings, but increase (decreases) regulatory capital. Previous studies have separately documented earnings and capital management behavior via loan loss provisions by commercial banks. However, it is difficult to isolate a bank's demand for increasing earnings from its demand for regulatory capital because earnings is a source of capital. Based on the objective bank function, this study investigates the impact of SFAS No. 114 on the information content of loan loss provisions in relation to both earnings quality and capital adequacy in a linear information dynamic framework. Test results show that the association between market value with loan loss provisions became significantly stronger for commercial banks in the post- than in the pre-adoption period. As a result, SFAS No. 114 is also found to positively affect the association of market value with both bank earnings and regulatory capital through the clean surplus relation because of the higher value relevance of loan loss provisions. The findings thus provide empirical evidence that SFAS No. 114 has significantly complemented banking regulations in enhancing (reducing) the (dispersion from the) accounting measurement construct of loan loss provisions.     

房地产融资渠道分析

由于国家银根收缩，房地产融资难度增大，加上中国房地产金融体系尚未完善，融资渠道狭窄，在一定程度上限制了我国房地产业的发展。房地产业需要新的融资渠道，如信托、基金、债券等取代传统的银行贷款融资模式。针对新的市场现状，各房地产企业必须加强资本运作能力，扩大融资渠道，创新金融产品。     

Modified efficient importance sampling for partially non‐Gaussian state space models

The construction of an importance density for partially non‐Gaussian state space models is crucial when simulation methods are used for likelihood evaluation, signal extraction, and forecasting. The method of efficient importance sampling is successful in this respect, but we show that it can be implemented in a computationally more efficient manner using standard Kalman filter and smoothing methods. Efficient importance sampling is generally applicable for a wide range of models, but it is typically a custom‐built procedure. For the class of partially non‐Gaussian state space models, we present a general method for efficient importance sampling. Our novel method makes the efficient importance sampling methodology more accessible because it does not require the computation of a (possibly) complicated density kernel that needs to be tracked for each time period. The new method is illustrated for a stochastic volatility model with a Student's t distribution.     

Properties of Census Dual System Population Size Estimators

We study parametric and non‐parametric approaches for assessing the accuracy and coverage of a population census based on dual system surveys. The two parametric approaches being considered are post‐stratification and logistic regression, which have been or will be implemented for the US Census dual system surveys. We show that the parametric model‐based approaches are generally biased unless the model is correctly specified. We then study a local post‐stratification approach based on a non‐parametric kernel estimate of the Census enumeration functions. We illustrate that the non‐parametric approach avoids the risk of model mis‐specification and is consistent under relatively weak conditions. The performances of these estimators are evaluated numerically via simulation studies and an empirical analysis based on the 2000 US Census post‐enumeration survey data.     

The effect of permanent product discounts and order coupons on purchase incidence,purchase quantity,and spending

This paper examines the influence of a permanent discount strategy on customer purchase behavior, i.e., purchase incidence in each week, purchase quantity (in units), and total order spending (in CNY). Permanent discounts are defined as discounts continuously provided by retailers. We identify two types of permanent discounts, namely, product-specific price discounts (PD) and order coupons (OD, which can be redeemed for a total order). We collect transactional data from a Chinese online retailer and empirically examine the effects of the two types of permanent discounts and customers’ expectations of PD and OD. We find nonlinear relationships between permanent discounts and customer purchase behavior. PDs negatively influence spending when they are lower than 19% but show a positive effect beyond this threshold, hence depicting a U-shaped relationship. They also affect purchase quantity positively but at a decreasing rate. Customer expectations of PD influence purchase incidence, spending, and purchase quantity following a U-shaped patter with a positive influence appearing when PD expectations are high than 31%, 27%, and 18% respectively. On the other hand, ODs influence spending and purchase quantity positively at an increasing rate. Customer expectations of OD influence purchase incidence, spending, and purchase quantity following a U-shaped relationship where the positive influence on purchase incidence shows beyond OD expectations of 426 CNY, and the positive effect appearing on spending and purchase quantity when these expectations are higher than 34 CNY. We also find that customer expectations of discounts interact with current discount levels in their influence on spending. Combining these results and considering that order coupons negatively affect the profit margin of the total basket, we suggest that retailers should offer order coupons with relatively low value but product-specific price discounts with high discount depth.     

Conceptualizing the brand in social media community: The five sources model

The emergence of social media is challenging the ways that marketing academics and practitioners conceptualize and manage brands. This research explores the consumers׳ specific motivations for the purpose and structure of the consumption of brands in social media community. Keeping the evolving economic relevance of social consumption in mind, the resulting conceptual model has been designed to give a better understanding of the unique branding opportunities and relationships that social media present to brand managers. The research employs a triangulated method that includes a social media-based Facebook focus group and face-to-face interviews. The findings suggest that consumers expect some very specific two-way interactions with brands and that social media may be the only way to effectively deliver these demands. This study identifies five core drivers of brand consumption in a social media community articulated in the Five Sources Model: functional, emotional, self-oriented, social and relational. These core drivers represent unique opportunities for brands to enhance their relationships with their customers and to increase the likelihood of an active and beneficial online community built around their brands. Future research implications are discussed.     

The consumption–investment decision of a prospect theory household: A two-period model

This study extends the literature on portfolio choice under prospect theory preferences by introducing a two-period life cycle model, where the sufficiently loss averse household decides on optimal consumption and investment in a portfolio with one risk-free and one risky asset. The optimal solution depends primarily on whether the household’s present value of the consumption reference levels is below, equal to, or above the present value of its endowment income. Reference levels below the endowment income are associated with the self-enhancement motive. In this case, the household avoids relative losses in consumption in any present or future state of nature (good or bad). As a result the degree of loss aversion does not directly affect optimal consumption and risk taking activity. Reference levels equal to the endowment income are associated with the belonging motive. An example would be a household comparing to others that belong to the same social class. In this case the household’s optimal consumption is the reference consumption and the household will not invest in the risky asset. Finally, reference levels above the endowment income are associated with the self-improvement motive (or high aspirations). For such high reference levels, households cannot avoid experiencing a relative loss in consumption, either now or in the future. As a result, loss aversion directly affects consumption and risky investment.     

Value co-creation in sustainable tourism: A service-dominant logic approach

To mainstream sustainability, we need to understand the value gained from sustainability by users. We apply a user-centred design methodology to develop an agile, iterative, incremental and reflexive process to understand the sustainability value proposition for Lufthansa City Center travel agents. We analyse the failure of sustainability communications within the online platforms used by these agents and explore why the agents factor out sustainability information during the customer sales process. We identify how agents and customers understand sustainability, and we explore opportunities to co-create sustainability value. Furthermore, we prototype, and then test, methods of empowering travel agents to communicate sustainability to their customers as a value-adding proposition.