Customer relationship management and company performance—the mediating role of new product performance

Customer Relationship Management (CRM) is widely accepted as an effective approach for collecting, analyzing, and translating valuable customer information into managerial action. However, the potential of CRM has been investigated only in the context of existing products. CRM’s potential to aid in future new product development (NPD) has been neglected. We develop a conceptual framework in which multiple facets of CRM are linked to new product and company performance. We test this model based on a cross-functional sample consisting of 115 R&D and 122 Marketing managers from firms spanning multiple industries. The results provide evidence that CRM has a positive effect on new product performance and further, that this effect is moderated by CRM reward systems but not CRM technology. We also show that new product performance mediates the relationship between CRM and company performance. These findings have important implications for research and practice in both the CRM and NPD areas.     

Crises in business markets: implications for interfirm linkages

In the global economy, firms link with customers and suppliers through a complex nexus of strategically critical interfirm relationships. Due to the diversity of environments and networks involved, these linkages are increasingly vulnerable to catastrophic disruptions, also referred to as “crises.” The authors offer an advanced conceptualization of crises and explicate the interplay of crises and interfirm relationships. On the basis of literature and qualitative data from 27 interviews with executives in 13 firms, the authors develop a process model of crisis that consists of five phases: (1) awareness and acknowledgment, (2) sensemaking, (3) response design, (4) response implementation, and (5) reconciliation in the aftermath. In discussing the model, the authors emphasize the influence of crisis on interfirm relationships and conversely highlight the role of the interfirm relationships in crisis management. The authors contributed equally and are listed alphabetically.     

Stress and consumer behavior

Although stress research has received increased attention in the behavioral and social sciences, it has been virtually ignored by marketing researchers. This paper attempts to advance the stress perspective as a useful framework in consumer research. First, the author presents theoretical and conceptual foundations of stress research. Second, the author develops a general conceptual model of the causes and consequences of stress on the basis of theory and research. The model serves as a blueprint for presenting theory and research on stress, organizing and interpreting findings of consumer studies in the context of stress theory, and developing propositions for needed research. Finally, the author provides a research agenda to guide future studies in this area.     

Long waves in prices: new evidence from wavelet analysis

In this paper we apply wavelet analysis to study the dynamics of long-term movements in wholesale prices for the USA, the UK and France over the period 1791–2012. The application of wavelet analysis to long-term historical price series allows us to detect long waves in prices whose periodization is remarkably similar to those provided in the literature for the pre-World War II period. Moreover, we find evidence on the existence of long waves in prices also after World War II, a period in which long waves are generally difficult to detect because of the positive trend displayed by prices. The comparison between the long wave components extracted through wavelets and the Christiano–Fitzgerald band-pass filter suggests that wavelets provide a reliable and straightforward technique for analyzing long waves dynamics in time series exhibiting quite complex patterns such as historical data.     

The response of vital rates to harvest fluctuations in pre-industrial Sweden

This study examines whether there was a Malthusian equilibrium mechanism in Sweden in the pre-industrial period. A unique data set on harvests, deaths, marriages and births going back to 1630 is used to calculate cumulative elasticities of vital rates with respect to harvest. While earlier studies have mostly focused on the impact of real wage, this study uses the calorie content of per capita harvests as an indicator of living standards. It finds that there indeed was a response of vital rates to harvest fluctuations, but there were important structural breaks. While positive checks attenuated after 1720, preventive checks were strengthened. After 1870 preventive checks disappeared, and possibly also positive checks. The results are robust to different models and trend specifications, with one crucial difference: while the distributed lag model shows that positive checks were significant up to 1920, the SVAR model shows that positive checks disappeared after 1870.     

Towns (and villages): definitions and implications in a historical setting

The measurement of urbanization rates and other uses of statistical information, for example the use of historical town growth to measure long-term economic growth, are usually based on an ad hoc population threshold to define and practically classify settlements as towns. The method, however, trades off accuracy and precision for convenience and simplicity. This paper proposes a new threshold that uses the town size distribution together with agricultural data to derive an appropriate cutoff value. The relevance of agricultural income is integrated into the classification scheme through the differential effect of local agricultural endowments on settlement size. The threshold is chosen such that the size of towns above the cutoff is statistically not influenced by local agricultural endowments, while the size of villages, which is below the threshold, is indeed shaped by them. This new approach is practically demonstrated with an application to the urban system of the nineteenth century in the German region of Saxony. This setting is used to investigate the relevance of a different classification for the development of urbanization over time and Gibrat’s law. The results demonstrate that the underlying classification scheme matters strongly for the conclusions drawn from historical urban data. They also indicate that the use of a common population threshold for a comparative analysis or temporal comparisons in a historical context increases the misclassifications of settlements.     

B2B relationship calculus: quantifying resource effects in service-dominant logic

Increasingly, knowledgeable business-to-business (B2B) customers and evolving customer needs are leading to seismic shifts in vendor–client interactions. Across industries, sellers are changing their business models from a simple goods orientation to a hybrid goods–services model, placing greater emphasis on delivering complete customer solutions. In such an environment, companies must find ways to prioritize investments in resource development. The service-dominant (S-D) logic framework offers significant insights into this challenge; however, these effects have not been tested quantitatively. This study addresses that gap, examining the influence of various seller resources on buyer satisfaction. An empirical analysis of buying organizations that purchased and implemented business intelligence systems finds that “augmented” operant resources that the buyers ascribe to the software’s sellers—resources that go above and beyond expectations—are the most significant predictors of both successful technology assimilation and overall customer relationship quality. In particular, an augmented operant resource reflecting a seller’s ability to see value creation opportunities from the buyer’s perspective (value mindset) has up to three times the effect on relationship satisfaction as “core” operant resources such as product-specific expertise or basic interpersonal service skills. These results can help sellers prioritize resource investments.     

The customer value proposition: evolution,development, and application in marketing

The customer value proposition (CVP) has a critical role in communicating how a company aims to provide value to customers. Managers and scholars increasingly use CVP terminology, yet the concept remains poorly understood and implemented; relatively little research on this topic has been published, considering the vast breadth of investigations of the value concept. In response, this article offers a comprehensive review of fragmented CVP literature, highlighting the lack of a strong theoretical foundation; distinguishes CVPs from related concepts; proposes a conceptual model of the CVP that includes antecedents, consequences, and moderators, together with several research propositions; illustrates the application of the CVP concept to four contrasting companies; and advances a compelling agenda for research.