Micro-level product-market dynamics: Shared knowledge and its relationship to market development

This work draws on consumer and psychology research to explain sociocognitive aspects of product-market dynamics at a higher level of specificity than prior research. The authors extend the field’s understanding of market-shaping shared knowledge through a theory-informed discussion of how shared product knowledge comes to exist and how it changes as product markets develop. They define shared knowledge as the aspects of product representations that are common across the minds of market actors, making it possible for them to understand one another. The authors also discuss ways to track shared knowledge content that is expressed in market narratives. As the characteristics of shared knowledge are explained and linked to stages of product-market development, the authors develop a set of researchable propositions to guide future research. The theoretical arguments and propositions in this article complement extant marketing strategy research by integrating individual-level consumer theory with market evolution models. José Antonio Rosa (jose.rosa@case.edu; Ph.D., University of Michigan) is an assistant professor of marketing at Case Western Reserve University. His research interests include product markets as sociocognitive phenomena, embodied knowledge in consumer and managerial sensemaking, consumer illiteracy and coping, commitment and motivation among members of network marketing organizations, and buying group satisfaction. His research has been published in marketing and management publications, including theJournal of Marketing and theAcademy of Management Journal. Before entering academia, he worked in the automotive and information systems industries. Jelena Spanjol (jspanjol@tamu.edu; Ph.D., University of Illinois) is an assistant professor of marketing at Texas A&M University. Her research interests include product market dynamics, product portfolio management, innovation, sensemaking, and organizational and managerial cognition in marketing strategy. Her research has been published in marketing and management publications, including theJournal of Marketing and several book chapters. Before academia, she worked in the scientific software industry.     

Export marketing,interfunctional interactions,and performance consequences

Firms with export operations have internal environments that are often geared toward serving the home market. As a result, export marketing and other business functions compete for resources, which thus increases the likelihood of conflict between them. Using survey responses from more than 700 exporting firms, the authors test a model of the antecedents and consequences of two important interaction variables: exporting’s interfunctional connectedness and conflict. The model explains 52 percent and 49 percent of variance in exporting connectedness and conflict, respectively. The authors identify the key drivers of successful interactions as follows: management commitment, organizational training and reward systems, relative functional identification, centralization, and export employee job satisfaction and commitment. The authors also demonstrate that connectedness is most critical for export success when export markets are in a state of turbulence, whereas conflict is most detrimental when the firm’s export environment is stable. John W. Cadogan (j.w.cadogan@lboro.ac.uk), Ph.D., is a professor of marketing in the Business School at Loughborough University, United Kingdom. His primary areas of research interest are international marketing, marketing strategy, and sales management. He has published on these issues in theJournal of International Business Studies, theInternational Journal of Research in Marketing, theJournal of Business Research, Industrial Marketing Management, theEuropean Journal of Marketing, theInternational Marketing Review, theJournal of Marketing Management, theJournal of Strategic Marketing, and other academic journals. He received his degree from the University of Wales (United Kingdom). Sanna Sundqvist (sanna.sundqvist@lut.fi), Ph.D., is a professor in international marketing in the Department of Business Administration at the Lappeenranta University of Technology (Finland). Her research interests deal with the international diffusion of innovations, market orientation (especially in an international context), and consumers’ adoption behavior. She has published in theJournal of Business Research, theInternational Journal of Research in Marketing, theEuropean Journal of Marketing, theCanadian Journal of Administrative Sciences, and theAustralasian Marketing Journal. She received her degree from the Lappeenranta University of Technology, Finland. Risto T. Saiminen (risto.salminen@lut.fi), Ph.D., is a professor of industrial engineering and management, especially marketing, in the Department of Industrial Engineering and Management at Lappeenranta University of Technology, Finland. His primary areas of research interest are customer relationships and networks in business marketing, pedagogy in industrial engineering and management, and international marketing. He has published on these issues in theJournal of Business and Industrial Marketing, theJournal of Marketing Management, theEuropean Journal of Engineering Education, theInternational Journal of Research in Marketing, theEuropean Journal of Marketing, and theAustralasian Marketing Journal. He received his degree from Lappeenranta University of Technology, Finland. Kaisu Puumalainen (kaisu.puumalainen@lut.fi), Ph.D., is a professor in technology research in the Department of Business Administration at Lappeenranta University of Technology, Finland. Her primary areas of research interest are innovation, international marketing, and small businesses. She has published on these issues in theInternational Journal of Research in Marketing, theJournal of Business Research, theEuropean Journal of Marketing, R&D Management, theCanadian Journal of Administrative Sciences, theJournal of International Entrepreneurship, theAustralasian Marketing Journal, and theInternational Journal of Production Economics. She received her degree from the Lappeenranta University of Technology, Finland.     

The adaptive consequences of pride in personal selling

This study examines the adaptive consequences of pride in personal selling and its self-regulation with colleagues and customers. Study 1 investigates the effects of experiencing pride, where two benefits were found. First, pride increases salespersons’ performance-related motivations. Specifically, it promotes the use of adaptive selling strategies, greater effort, and self-efficacy. Second, pride positively affects organizational citizenship behaviors. Study 2 takes an emotion-process point of view and compares excessive pride (hubris) with positive pride. The results show that salespeople are capable of self-regulating the expression of these emotions differently toward colleagues and customers via anticipated feelings of fear, shame, and regret. Salespeople, in other words, are affected by their emotions, but they also are capable of controlling them to their advantage. Willem Verbeke (verbeke@few.eur.nl) is a chaired professor of sales and account management at Erasmus University in Rotterdam, the Netherlands. He received his Ph.D. from the University of Pennsylvania. His research has appeared in a number of academic journals, including theJournal of Marketing, theInternational Journal of Research in Marketing, theJournal of Management, theJournal of Organizational Behavior, and theJournal of Applied Psychology. His area of research interests includes personal selling, sales management, emotions and emotion regulation, social capital, and knowledge management. Frank Belschak (belschak@few.eur.nl) is an assistant professor of marketing and organizational behavior at Erasmus University in Rotterdam, the Netherlands. He received his Ph.D. in organizational behavior from the University of Cologne in Germany. His current research interests include emotions and emotion regulation in organizations and across cultures, as well as social capital and networks. Richard P. Bagozzi (bagozzi@rice.edu) is the J. Hugh Liedtke Professor of Management in the Jesse H. Jones Graduate School of Management and a professor of psychology at Rice University in Houston, Texas. He conducts research on human emotions, the theory of action, goal setting and goal striving, and structural equation methods.     

Using a customer-Level marketing strategy to enhance firm performance: A review of theoretical and empirical evidence

It is becoming increasingly apparent from the literature that marketers need to consider customer-level information when they generate a marketing strategy for the firm. In this article, the authors develop a customer-focused framework that uses a marketing strategy with an overall objective of maximized financial performance. This strategy is driven by seven customer-level marketing tactics and shows how actual customer data can be used to generate an actionable marketing strategy leading to optimal levels of profitability, customer equity, and shareholder value. In addition, the authors discuss a successful implementation of this strategy for several business-to-business and business-to-consumer firms and offer insights as to how to customize an implementation strategy for any firm, along with presenting potential challenges a firm may encounter during the implementation process. Several suggestions for future research are offered to explore and harness this newly available evidence. V. Kumar (VK) (vk@business.uconn.edu) is the ING Chair Professor of Marketing and the executive director of the ING Center for Financial Services at the University of Connecticut. He spends his time by transferring his knowledge (however little it may be) to his two daughters about customer lifetime value, diffusion models, forecasting sales and market share, retailing, and marketing strategy. J. Andrew Petersen (apetersen@business.uconn.edu) is a doctoral candidate in marketing at the University of Connecticut. His research interests include customer lifetime value, word-of-mouth effects, and customer-level marketing strategy. His research has been published inMarketing Research Magazine and theJournal of the Academy of Marketing Science.     

Scientific status and knowledge use: Two perspectives

Summary In summary, it is important, from time to time, to step back and consider the publication process, as it exists in marketing and as it operates forJAMS. As part of this consideration, the issue of journal quality is paramount. As mentioned above, there are many ways to assess journal quality, and each method has its advantages and its limitations. In the field of marketing, we have a long history of relying on perceptual data, and this tradition is reflected in methods that rely on expert ratings and rankings of journals. In our field, we also have a history of trying to collect “objective” or quantitative data, and methods that rely on citation counts fit into this tradition. Here, using contrasting but related methods, we report encouraging evidence about the growing status and reputation ofJAMS as an influential publication outlet for marketing scholarship.     

An empirical test of trust-building processes and outcomes in sales manager-salesperson relationships

This study examines three trust-building processes and outcomes in sales manager-salesperson relationships. This study, based on a sample of more than 400 business-to-business salespeoples from a variety of industries, shows two trust-building processes (predictive and identification) to be significantly related to salesperson trust in the sales manager. Interpersonal trust was found to be most strongly related to shared values and respect. Trust was directly related to job satisfaction and relationalism, and indirectly related to organizational commitment and turnover intention. Thomas G. Brashear (brashear@mktg.umass.edu) (Ph.D., Georgia State University) is an assistant professor of marketing in the Isenberg School of Management at the University of Massachusetts-Amherst. James S. Boles (jboles@gsu.edu) (Ph.D., Louisiana State University) is an associate professor of marketing in the Robinson College of Business at Georgia State University. His research has appeared in a variety of journals, including theJournal of Marketing, theJournal of Business Research, theJournal of the Academy of Marketing Science, theJournal of Retailing, theJournal of Personal Selling and Sales Management, and theJournal of Applied Psychology. His areas of research interest include personal selling, sales management, key and strategic account management, and business relationships. Danny N. Bellenger (mktdnb@langate.gsu.edu) (Ph.D., University of Alabama) is currently chairman of the Marketing Department in the Robinson College of Business at Georgia State University. His research has appeared in a number of academic journals including theJournal of Marketing Research, theJournal of Marketing, theJournal of Advertising Research, theCalifornia Management Review, theJournal of Retailing, theJournal of Personal Selling and Sales Management, Industrial Marketing Management, and theJournal of Business Research. He has authored four monographs and four textbooks on marketing research, sales, and retailing. Charles M. Brooks (brooks@quinnipiac.edu) (Ph.D., Georgia State University) is an associate professor and chair of the Department of Marketing and Advertising at Quinnipiac University. His research has appeared in theJournal of Business Research, theJournal of Retailing, Marketing Theory, and theJournal of Marketing Theory and Practice.     

Playing the synthesizer with Canadian data: Adding polls to a structural forecasting model

Election forecasting has become a fixture of election campaigns in a number of democracies. Structural modeling, the major approach to forecasting election results, relies on ‘fundamental’ economic and political variables to predict the incumbent’s vote share usually a few months in advance. Some political scientists contend that adding vote intention polls to these models—i.e., synthesizing ‘fundamental’ variables and polling information—can lead to important accuracy gains. In this paper, we look at the efficiency of different model specifications in predicting the Canadian federal elections from 1953 to 2015. We find that vote intention polls only allow modest accuracy gains late in the campaign. With this backdrop in mind, we then use different model specifications to make ex ante forecasts of the 2019 federal election. Our findings have a number of important implications for the forecasting discipline in Canada as they address the benefits of combining polls and ‘fundamental’ variables to predict election results; the efficiency of varying lag structures; and the issue of translating votes into seats.     

Forecasting recovery rates on non-performing loans with machine learning

We compare the performance of a wide set of regression techniques and machine-learning algorithms for predicting recovery rates on non-performing loans, using a private database from a European debt collection agency. We find that rule-based algorithms such as Cubist, boosted trees, and random forests perform significantly better than other approaches. In addition to loan contract specificities, predictors that refer to the bank recovery process — prior to the portfolio’s sale to a debt collector — are also shown to enhance forecasting performance. These variables, derived from the time series of contacts to defaulted clients and client reimbursements to the bank, help all algorithms better identify debtors with different repayment ability and/or commitment, and in general those with different recovery potential.     

General equilibrium impact of an energy-saving policy in the public sector

We analyse a disregarded environmental policy instrument: a switch in government expenditure away from energy (or other natural resources) and toward a composite good which includes energy-saving expenditure. We first develop two variants of an analytical general equilibrium model. A composite good is produced with constant returns to scale, and energy is imported or produced domestically with diminishing returns, yielding a differential rent to its owners. The government purchases energy and composite goods from private firms. Such a policy unambiguously increases employment. It also raises private consumption and welfare under two conditions: (i) it is not too costly and (ii) the initial share of the resource is smaller in public spending than in private consumption, or the difference is small enough. We then run numerically a model featuring both importation and domestic production of energy (oil, gas and electricity), for the OECD as a whole. Simulations show that employment, welfare and private consumption rise. We provide magnitudes for different parameter values. Earlier versions of this paper have benefited from conference participants at the European Council for an Energy-Efficient Economy, International Society for Ecological Economics World Congress, CIRED seminar and EUREQua environmental economics seminar. We especially thank Michèle Sadoun and two anonymous referees. The usual disclaimer applies.