No abstract

PurposeThis paper investigates the viability of the relationship-oriented business model. Specifically, it examines the effects of bank customers' satisfaction, loyalty, and trust in bank advisors on two client-level performance measures; client-level non-interest revenue, and client-level revenue on net interest spread. It further investigates how effects are moderated by differences in clients' risk tolerance and financial literacy.Design/methodology/approachThe findings are based on analyses of a data set that combines survey data (collected from 13,525 bank clients in 2013) with bank record data from each respondent. The cross sectional data is analyzed using OLS-regression and structural equation modeling.FindingsOverall, the findings are that the relationship banking model generates non-interest revenue, but not revenue on net interest spread. In more detail, findings show that trust has a positive direct effect on client-level non-interest revenue. Furthermore, trust mediates the entire effect of satisfaction and loyalty on client-level non-interest revenue. Customer satisfaction and loyalty do not lead to enhanced client-level non-interest revenue if there is little trust in bank advisors. Findings further show that the relevance of trust for non-interest revenue is higher for clients with high risk tolerance and high financial literacy. Satisfaction, loyalty, and trust have no effect, however, on client-level revenue on net interest spread.Originality/valueWhile previous literature mainly has used subjective intentions (e.g., repurchase behavior) as operationalization of performance, this paper combines subjective survey data and objective performance data, allowing the investigation of how the customer relationship model affects actual performance. Furthermore, the paper investigates the relational banking model's effect on non-interest and net interest spread revenue, and we show that the relational banking model generates only non-interest revenue, and not net interest spread revenue. The fine-grained client-level data also allows the investigation on how the effect of trust on client-level performance differs among client groups with different cognitive characteristics (i.e., risk tolerance and financial literacy).

Purpose – The purpose of this paper is to develop a model of bank advisor/customer relationships and customer saving behavior. Design/methodology/approach – The research is a theoretical review and model development of savings behavior and bank advisor/customer relationships. The review is used for the development of a model of bank advisor/customer relationships, and their effect on savings behavior. Findings – Findings are a model that distinguishes three kinds of exchange (relational, interimistic, and transaction) in between bank advisor and customer. The three kinds of exchange then influence customer savings behavior. Research limitations/implications – The implications of this research is that it points to that relationship marketing theory can be used in the analysis of how bank advisors influence customer savings behavior. Practical implications – For regulators and financial services firms, these findings point to how the role of bank advisors for consumer savings behavior can be analyzed. This is important, as much policy work presumes that advisors influence customer savings behavior, but the knowledge base for that presumption needs to be better understood. Social implications – The paper contributes toward a better understanding of the social exchange between bank employees and customers as regards savings products. Originality/value – This paper is original because it includes many theoretical research fields, and because it connects the bank advisor and customer relationship with the customer's savings behavior.

A combination of strong urbanization and shortage of land in many European city areas prompts an impetus of infill development, with current residents often raising concerns that infill development leads to lower nearby property prices. The aim of this paper is to analyze how nearby property prices are affected by new construction projects in Stockholm, Sweden. We use a difference-in-difference specification in a hedonic model, and our sample consists of more than 40,000 observations over the period 2005-2013. Our results are robust and indicate that house prices in nearby areas increase following the completion of infill development. Our results also indicate that infill development only has a positive spillover effect on nearby house prices only in areas with lower incomes, more public housing units and more inhabitants born abroad.