Jeff S. Johnson

Qualitative sales research: an exposition of grounded theory

The dominant research paradigm in sales research involves testing theory through empirical research. Nascent or underdeveloped research areas, however, may lack or have inadequate existing theories to explain sales-related phenomena. In these cases, sales researchers require a theory-generating methodological approach. Qualitative research designs are useful in this pursuit. The purpose of this article is to provide an exposition of one such qualitative research design – grounded theory. To this end, the foundational processes of grounded theory methodology are discussed. The results of a review of grounded theory examinations conducted in sales research are also provided, and current practices utilized by sales grounded theorists are discussed. Based on this review, future directions in substantive areas and methodological practices are provided. This article aims to serve as a resource for sales scholars wishing to know what grounded theory examinations have been conducted, how to implement grounded theory research and what avenues are available for future grounded theory sales research.

Indsales Model: A Facet-Level Job Satisfaction Model among Salespeople

While a debate exists with regard to the measurement of job satisfaction as a global or multifaceted construct, research has yet to understand how the facets of job satisfaction behave in a developmental process. Using the INDSALES satisfaction scale, this research theoretically develops and empirically tests a multifaceted job satisfaction model using a sample of 226 business-to-business sales representatives. The results demonstrate the linkages among different elements of satisfaction and illustrate the interdependencies inherent to job satisfaction facets. Drawing from expectancy theory and the established relationships among satisfaction facets, sales organizations should focus their efforts on increasing salesperson satisfaction with policy and support and properly aligning salesperson expectations.

Levels of analysis and sources of data in sales research: a multilevel-multisource review

Sales researchers are increasingly adopting a multilevel-multisource (MLMS) approach to answer many key questions involving sales managers, salespeople and customers. MLMS research involves the acquisition and analysis of data collected from two or more sources pertaining to multiple hierarchical levels and presents a number of opportunities and challenges for sales researchers to consider. The authors highlight the benefits and the drawbacks of MLMS research and describe various approaches for implementing an MLMS collection and analysis. Additionally, a review of the MLMS studies conducted in the sales domain is provided which summarizes and delineates relationships tested in the extant literature. Based on this review, the authors advance a number of underdeveloped areas of research where MLMS approaches can be applied to further the understanding of the dynamic conditions that typify sales research.

Positive Psychology In Sales: Integrating Psychological Capital

As positive psychology moves into the workplace, researchers have been able to demonstrate the desirable impact of positive organizational behavior. Specifically, psychological capital (PsyCap) improves employee attitudes, behaviors, and performance. Advancing PsyCap in sales research is important given the need for a comprehensive positive approach to drive sales performance, offset the high cost of salesperson turnover, improve cross-functional sales interfaces, and enrich customer relationships. The authors provide an integrative review of PsyCap, discuss its application in sales, and advance an agenda for future research. Research prescriptions are organized according to individual-level, intra-organizational, and extra-organizational outcomes pertinent to the sales field.

Contingent cross-selling and up-selling relationships with performance and job satisfaction: an MOA-theoretic examination

Cross-selling and up-selling are common sales strategies firms use to increase the revenue their salespeople garner from customers. However, these sales approaches are difficult to implement and a large percentage of these programmes fail. Examinations of cross-selling and up-selling traditionally rely on transactional databases which do not assess the salespersons orientations and attitudes. To overcome this limitation, the authors capture the behavioural tendencies towards cross-selling and up-selling by salespeople and embed them within a motivation-opportunity-ability (MOA) theoretical framework. Variables which fit an MOA categorization moderate the efficacy of cross-selling and up-selling on performance and job satisfaction. Using a multi-industry sample of 224 business-to-business salespeople, findings indicate a unique subset of factors differentially interact with cross-selling and up-selling in predicting performance and job satisfaction.

Nonlinear analyses in sales research: theoretical bases and analytical considerations for polynomial models

Despite theoretical bases that may support nonlinear relationships, there is a relative paucity of studies testing these effects in organisational and behavioural research. Theories hypothesising linear associations among variables in sales research found to have low predictive validity are prime candidates for re-conceptualisation with theories predicting nonlinear relationships. In the sales domain, while nonlinear-oriented theories have been advanced and many nonlinear associations have been explored, myriad additional variables may possess theoretically-based nonlinear relationships with key sales-related outcomes. Further, nonlinear integration can be useful in improving linear analyses involving moderation. The purpose of this article is to expound upon and promote the utilisation of theoretically-driven nonlinear analyses in sales research. In this pursuit, the article delineates the rationale for nonlinear examinations and provides an extensive review of nonlinear research conducted in the extant sales literature. Based on this review, theoretical bases used to support nonlinear hypotheses are advanced and types of polynomial tests are identified. Additionally, guidelines in conducting and interpreting main effect and moderated polynomial analyses are provided along with future research opportunities for nonlinear analyses in sales research.

Improving online panel data usage in sales research

The exponential expansion of the Internet has fundamentally altered the nature of personal selling and sales management. The Internet has also created significant change for sales researchers and proffered a bevy of new means of conducting research. Online panel data collection is one such means that has recently proliferated. Online panel data collection imbues a host of advantages sales researchers may reap. However, there are a proportionate number of disadvantages and concerns with collecting and using this type of data. This article delineates said benefits and drawbacks and also provides a review of recent sales-related examples employing this method of data collection. Furthermore, key considerations in utilizing online panel data are advanced. Importantly, several ways to maximize the benefits and minimize the drawbacks inherent to online panel data are provided. This article aims to provide a resource for sales scholars in optimizing their usage of online panel data.

Broadening the application of mixed methods in sales research

Mixed method research designs can be extremely useful in extending knowledge in the sales domain. A bevy of mixed method designs are at the disposal of sales researchers seeking to reap the benefits of this combination of research approaches. However, application of mixed methods in sales research has been rather limited, focusing primarily on exploratory sequential designs. The purpose of this article is to provide an exposition of mixed method research in the sales domain and offer avenues of extension that employ underutilized mixed methodological approaches. Accordingly, a definition of mixed methods along with its benefits and drawbacks is espoused followed by guidance in conducting mixed method research. A review of sales-related mixed method studies is then provided and articles containing both quantitative and qualitative methods are analyzed to glean insight on the state of mixed methods research in sales. Future avenues for mixed method research are then provided focusing on best practices and techniques that have yet to be embraced by sales researchers. This article aims to be a resource for sales scholars in expanding the mixed method research paradigm.

A União Faz a Força (There is strength in unity): understanding the sales–marketing interface in Brasil

While the sales–marketing interface (SMI) research area is relatively nascent, scholars have provided a bevy of insights to this phenomenon. However, nearly all of these insights are predicated on data obtained from developed economies. To date, no research on this critical interface has been obtained in the key emerging markets of the world: the BRICS nations (Brasil, Russia, India, China, and South Africa). The purpose of this manuscript is to provide insight into the SMI in the emerging-market context of Brasil and compare and contrast these findings with those derived from other developed and emerging markets. A qualitative inquiry of 29 marketers and salespeople was conducted to reveal many insights into sales and marketing’s interactions in Brasilian organizations. Findings show how the SMI manifests in Brasil on group orientation and interaction, factors used to facilitate the SMI, and SMI power and strategy dynamics. Results show similarities, differences, and novel findings relative to existing knowledge on the SMI in developed and emerging economies and provide a base of understanding on this crucial interface in this key emerging market.

Implicit measures in sales research

Though implicit measures are identified as a valuable technique to measure latent constructs in many domains of inquiry, these measures are seldom used in sales research. This manuscript provides an overview of implicit measurement techniques and examines the potential for expanded application by sales researchers. The authors review the uses and advantages of implicit measures and bring to light specific contexts where implicit measures may provide added contributions to sales research. Specific applications of implicit measurement are identified and sales-related applications are advanced. Further, an exposition and review of the most commonly used implicit measurement technique in marketing research, the Implicit Association Test, is provided. Based on this review, additional research opportunities for future investigation using implicit measurement in sales research are offered.