Seeing relationships through the lens of psychological contracts: the structure of consumer service relationships

Serving as mental models, psychological contracts guide consumers’ service interactions with their service providers. This study incorporates a psychological contract perspective into the relationship marketing literature, exploring service customers’ beliefs about the terms and conditions of the resource exchange process and the types of relationships they form with service providers. It provides new insights that explain why and how some customers respond favorably to a company’s relationship overtures and investments while others do not. A latent class analysis on a sample of 700 consumers across three different service industries reveals that consumers form four distinct types of psychological contracts: relational, standard, transitional, and captive. To further validate the differences between the contract types, open-ended responses from the respondents were sorted by each class. The distinctive themes that emerged provide a richer understanding of the characteristics of each class beyond those inferred from the quantitative results. Each contract type is also profiled against its underlying level of trust, satisfaction, and commitment to understand the relationship between the contract types and these traditional relationship marketing variables. Marketers can differentiate their relationship marketing strategies and allocate their resource investments more effectively by segmenting consumers according to their psychological contract type.     

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.     

When do the stock market returns to new product preannouncements predict product performance? Empirical evidence from the U.S. automotive industry

Substantial research has examined how stock market reactions to marketing actions affect subsequent marketing decisions. However, prior research provides limited insights into whether abnormal stock returns to a marketing action actually predict the future performance resulting from that action. This study focuses on new product preannouncements (NPPAs) and investigates the relationship between short-term stock market returns to an NPPA and the post-launch new product performance under various industry and firm conditions. Findings based on a dynamic panel data analysis of 208 NPPAs in the U.S. automotive industry between 2001 and 2014 reveal that stock returns associated with an NPPA are not an appropriate forward-looking measure of future product performance. However, under specific conditions (i.e., when the preannouncement is specific, the preannounced new product has low innovativeness, the preannouncing firm has a high reputation and invests heavily in advertising, and the preannouncement environment is less competitive), abnormal stock returns to NPPAs actually predict the future performance of new products. Thus, this study extends the marketing–finance and innovation literature with its focus on the conditions that affect the predictive power of immediate stock returns for the future performance of new products.     

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.     

Consumer reliance on intangible versus tangible attributes in service evaluation: the role of construal level

The services marketing literature has traditionally characterized intangibility as the most critical distinction between services and goods, but in practice service production and consumption often involve both intangible and tangible elements. While prior research has examined and debated service intangibility from the firm’s perspective, what is missing is an understanding of how consumers weigh the relative importance of intangible versus tangible attributes in their service evaluation. Drawing on construal level theory, the authors propose that consumers with a high (vs. low) construal level rely more on intangible (vs. tangible) attributes in service evaluation. Furthermore, the effect of construal level on service evaluation is mediated by imagery vividness, with service type (e.g., experience vs. credence services) serving as a boundary condition. The authors conduct two field studies and two lab experiments and find that under a high construal level, consumers rely more on intangible attributes in their service evaluation and choice formation; under a low construal level, consumers rely more on tangible attributes in their service evaluation and choice. The findings not only offer new insights to help reconcile the disparate perspectives on service intangibility in the literature but also have practical implications on service firms’ positioning strategies that vary across time (e.g., advance selling vs. on-site selling) and space (e.g., near vs. distant outlet), as well as which attributes to emphasize in their marketing communications.     

Augmenting the eye of the beholder: exploring the strategic potential of augmented reality to enhance online service experiences

Driven by the proliferation of augmented reality (AR) technologies, many firms are pursuing a strategy of service augmentation to enhance customers’ online service experiences. Drawing on situated cognition theory, the authors show that AR-based service augmentation enhances customer value perceptions by simultaneously providing simulated physical control and environmental embedding. The resulting authentic situated experience, manifested in a feeling of spatial presence, functions as a mediator and also predicts customer decision comfort. Furthermore, the effect of spatial presence on utilitarian value perceptions is greater for customers who are disposed toward verbal rather than visual information processing, and the positive effect on decision comfort is attenuated by customers’ privacy concerns.     

Non-financial hurdles for human capital accumulation: landownership in Korea under Japanese rule

This study examined the relationship between land inequality and human capital accumulation in the Korean colonial period by using a panel data set from 1934 to 1942. Evidence of the adverse relationship between land inequality and the accumulation of human capital has thus far only been presented by using data from Western countries and from countries that achieved industrialization not under colonial occupation but by their own economic interest. The presented findings thus contribute to the body of knowledge on this topic and confirm the generalizability of the Galor model by analyzing the unique Korean context under Japanese rule in the early twentieth century. It is the first study to present evidence that inequality in landownership had an adverse effect on the level of public education in the Korean colonial period (i.e., it is a non-financial hurdle for human capital accumulation). By using a fixed effects model and a fixed effects two-stage least squares model with an instrumental variable estimation, this study exploits variation in inequality in land concentration across regions in Korea, accounting for the unobserved heterogeneity across these regions. Overall, this analysis establishes a highly significant adverse effect of land inequality on education in the Korean colonial period.     

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.     

Transatlantic wage gaps and the migration decision: Europe–Canada in the 1920s

As has been seen in other contexts, workers in similar occupations earned much higher wages in Canada than Europe during the 1920s. This observation and related aspects of immigration are addressed with a life-cycle model of the migration decision. The characteristics of immigrants from five European countries: Ireland, Italy, the Netherlands, Poland, and Sweden, are explored in a way that sheds light not just on those population flows but on the process of immigration generally. We draw on passenger manifests from immigrant ships for information on the individual migrants. Simulations, based partly on the these manifests, reveal that the costs of migration, borrowing constraints, concern for status, and country-specific taste preferences account for key immigrant characteristics, and help explain the large wage differentials that persisted despite Canada’s relatively open immigration policy.     

Broadband Demand Analysis for Network Building

An increase of broadband demand is forecasted by transitional methods that consider the effect of this increase through many factors, such as customer requirement diversification, and new service introduction and deployment under competition. Broadband demand forecasting has become important for closing the digital divide, promoting regional developments, and constructing networks economically; therefore, a demand forecast model that considers the mechanisms of market structure is necessary. In this paper, a demand analysis method for broadband access combining macro- and micro-data mining is proposed, and the service choice behaviour of customers is introduced as a customer model not only to express the macro trend of market structure, but also to consider area marketing. The proposed method can estimate the potential demand, determine the point at which broadband demand growth peaks in a specified area, and support a decision for ultra high-speed broadband access facility installation.