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One of the primary characteristics of the sales environment of the next century will be the proliferation of technology as an important component of the sales process. The successful salesperson of the future will be marked by an ability to incorporate and directly apply a wide range of technology in their interactions with customers. More than simple data access, sales technology is increasingly being used as a means by which the salesperson and customer interact. The overall objective of this study is to measure the attitude of salespeople toward the use of computer technology in a sales job and then ascertain the relationship between these attitudes and a salesperson’s job experience and productivity. The results of the study outline important managerial implications related to introducing and implementing new technology uses within a salesforce.

This paper aims to explore the impact of salespeople’s goal orientation and self-regulatory mode on their performance through sales ambidexterity and sales technology infusion (STI) using a sales technology ecosystem approach.

This paper adopts a qualitative methodology, through in-depth interviews with salespeople from a diverse range of industries, age profiles and contexts, to explore the narratives and original meanings related to their goal orientation, self-regulatory mode, ambidexterity, STI and performance.

Sceptics are salespeople who may fear or hesitate to fully use the sales technology, whereas enthusiasts are ambidextrous salespeople with high STI, who are more open to change and able to face uncertainty, regardless of the differences in their background in terms of industry, age and experience.

STI may be influenced by individual factors, such as the salesperson’s goal orientation and self-regulatory mode. Hence, sales organizations should try to foster and facilitate further STI and sales ambidexterity, which are key to achieving positive outcomes in today’s technology-intensive sales settings.

This paper extends the current literature on sales technology and sales ambidexterity within a sales technology ecosystem perspective and provides new insight on the combined impact of these variables on the salesperson’s performance.

The purpose of this paper is to model the key influencers or predictors for usage of technology by sales professionals in India.

This study examines the effect of individual, organizational and social factors on the use of technology. The method used for primary research is survey, and data have been collected from 556 sales professionals from across four industries in India. The empirical analysis consists of confirmatory factor analysis using structural equation modeling.

Confirmatory factor analysis has been used to validate the constructs, namely, peer usage, support service, perceived usefulness, attitude, usage and performance. Based on the results, it has been concluded that attitude and peer usage have a direct effect on the use of technology. Support service affects peer usage and perceived usefulness affects attitude. This model helps us understand the direct and indirect predictors of use of sales technology (ST), and its effect on sales performance.

The limitation of this study is that data pertain to India only.

The findings of this paper will help sales managers and organizations develop strategies to increase the acceptance and use of new technologies, and also strengthen their arguments for convincing the various stakeholders about the benefits and relevance of the ST.

The paper attempts to build and validate a parsimonious model taking into account peer usage (social factor) and support service (organizational factor) in addition to perceived usefulness and attitude.

The purpose of this paper is to bridge the glaring gap in the sales literature due to the deficiency of historical research on the adoption of technology in personal selling and the resultant impacts on sales roles.

This paper traces the early adoption of technology by the sales force through information obtained from an extensive review of published works covering a nearly 130‐year timeframe. Where possible, efforts are made to chronicle the early use of these technologies by citing examples from historical publications of applications in selling situations.

In the exciting internet era, it is often unrecognized that adopting the latest technology in selling is a long, ongoing process which can be traced back at least to the beginning of professional personal selling in the mid‐1800s when the industrial revolution enabled dramatic increases in manufactured products. A review of the literature suggests that sales forces were often early adopters of new technologies that laid the groundwork for taking on new or expanded sales roles. With each new invention and its creative adoption and adaption to selling, new sales roles have been created or ongoing ones expanded or significantly modified. Many of the roles still entrusted to today's sales force are arguably linked to a succession of technological adoptions that occurred between the 1850s and 1980s.

From a historical perspective, this paper examines sales force technology development from the 1850s through the 1980s and the resultant impacts on sales force roles. To date, this historic technology‐sales force role relationship has not been adequately recognized or addressed in the sale literature. The analyses presented in the present study should prove useful for academics, students, and practitioners in the sales and marketing fields as well as researchers examining business history.

In an increasingly technology-driven retail landscape, retailers face the challenge of making the most effective decisions regarding the selection and use of innovative technology. Although previous research provides insights into the added value of technology, it does not directly guide retailers in overviewing and selecting technology that supports their sales operations. This chapter contributes to the field of retail technology studies by introducing a sales-oriented model intended to assist retailers in inventorying available technologies and making decisions regarding the selection and use of these technologies for their physical stores. The model uses an updated version of the seven steps of selling as a foundation and, in line with the resource life cycle, decision support system and self-service technology literature streams, proposes applying technology in such a way that it supports the stages of the retailer's sales process. This chapter concludes with a discussion of practical guidelines for applying the model.

This article evaluates the effect of technostress due to implementation of sales technologies on sales professionals in terms of changes in job satisfaction and role stress and potential mitigation strategies including technostress inhibitors and job commitment.

The study utilizes a survey data collection from sales professionals in B2B consultative roles selling to business customers from construction, industrial supply and business service firms, including items that explore before and after factors around a customer relationship management implementation.

Technostress results in a decrease in job satisfaction and an increase in role stress of sales professionals. Job commitment moderates the decrease in job satisfaction, i.e. the higher the job commitment the less significant the decrease in job satisfaction.

Sales forces need to implement technostress inhibitors to help mitigate the effects of technostress in exacerbating other sales professional stressors. These inhibitors should be contextualized to the unique situation of the sales organization.

The study examines the dark side of sales technologies. Our research expands current understanding by considering new relations among technostress-creating conditions and two work-related outcomes that are salient to sales professionals, namely role stress and job satisfaction. Further, we investigate the change in these outcomes before and after the implementation of sales technologies rather than only considering them at one point of time, after the fact.

This paper aims to understand an emerging paradigm for business-to-business selling, Sales 2.0, which connects various enabling technologies within leading sales processes to drive improved business and relational outcomes. In the context of Sales 2.0, this paper addresses the need for buyer–seller dyadic sales research in the literature and highlights the importance of understanding buyer and seller perspectives regarding technology expectations and relationship-building performance.

This research utilizes a dyadic (salesperson–customer) data collection methodology, involving 74 matched salesperson and customer responses (37 dyads) to an online survey. Existing salesperson (self-report) measures of customer technology expectations and relationship-building performance with customers were utilized and adapted to provide dyadic measures to test for buyer–seller perceptual differences.

The dyadic data analysis supports the presence of significant perceptual differences between the salesperson and their customer, respective of customer technology expectations and relationship-building performance measures. In particular, the analysis reveals bidirectional perceptual differences for the two measures, whereas the salesperson underestimates the importance of their customer’s technology expectations, but overestimates their relational performance relative to their customers.

As technology continues to transform salesperson interactions with customers, the value of capturing a deeper understanding about those interactions increases. This study uses matched salesperson–customer dyads from a health-care sales organization to provide researchers and practitioners with insightful findings with respect to buyer–seller interactions and perceptual differences. Further, the research uniquely advances dyadic measures of customer technology expectations and relationship-building performance with customers to advance sales research in the context of Sales 2.0.

This study seeks to address the issue of managing buyer‐seller relationships. Specifically, a framework incorporating the constructs of information communication, sales technology, product knowledge, and customer satisfaction is proposed.

Empirical support was derived from salesperson survey data combined with customer‐reported satisfaction ratings. All 254 sales representatives of the women's health care division of a pharmaceutical company were surveyed for this research study.

The results suggest that managers can benefit by extending salesforce training to address not only technical knowledge but also communication skills. Providing technology with the potential to increase customer satisfaction through improved information communication would be beneficial as well.

The research suggests that managers should invest resources not only in providing salespeople with technical knowledge, but also in training them in effective communication skills. Further, the benefit has been shown, in terms of customer satisfaction, of providing technology to support communication between salespeople and customers.

The study uses the relationship marketing approach to explore the critical role of information communication construct in a buyer‐seller exchange process. Moreover, the inclusion of salesperson experience as a possible moderator of the links to this construct brings additional value.

Many organizations still struggle with sales force technology implementation because of low user adoption rates. The ubiquity of mobile computing devices, such as smartphones and tablets, and the proliferation of mobile customer relationship management (mCRM) applications, may lead to increased CRM adoption and higher returns on CRM technology investments. The purpose of this study is to attempt to extend the current literature by developing a model of mCRM antecedents and outcomes by incorporating the idiosyncratic mCRM characteristics that have not yet been examined in the sales technology literature.

This research utilizes the technology acceptance model and the technology-to-performance chain as the foundation of a conceptual model of the drivers and outcomes of mCRM adoption.

This conceptual study provides several contributions to both the sales technology literature and to practitioners within sales organizations. The proposed conceptual model outlines the benefits of providing mCRM capabilities to sales professionals. These benefits include increased productivity, sales activity and collaboration among both internal stakeholders (management and peers) and external stakeholders (prospects and customers).

Despite the increased use of mobile applications in sales, research on this particular form of technology is limited, and sales researchers have yet to examine mCRM or its relationship to sales performance. Therefore, the purpose of this research is to forward a conceptual model that allows researchers to explore the drivers of mCRM use and how mCRM influences individual and organizational-level outcomes.

Considering recent changes in sales practices, such as the sales role becoming more strategic, increased reliance on technology for sales activities, increased stress from adding technological responsibilities to the sales role and decreased avenues of social support (such as traditional forms of community) to cope with work-related stressors, there is a need to reconsider Verbeke et al.’s (2011) classification scheme of determinants of sales performance, which was based on literature published before these critical changes became apparent. This paper aims to conduct a systematic review of sales performance research published during 1983–2018 to propose an extension to Verbeke et al.’s (2011) classification.

This paper followed a systematic approach to the literature review in five sequential steps – search, selection, quality control, extraction and synthesis – as suggested by Tranfield et al. (2003). In total, 261 peer-reviewed journal papers from 36 different journals were selected for extraction and synthesis.

The findings make the following additions to the classification: strategic and nonstrategic activities as a new category, technological drivers of sales performance and job-related psychosocial factors as a broader category to replace role perceptions. Derived from the job demand–control–support model, three subcategories within the category of job-related psychosocial factors are psychological demands (encompasses role perceptions and digital-age stressors such as technostress creators), job control and work-related social support.

This paper identifies that manager’s role in facilitating technology skills, providing informal social support to remote or virtual salespeople using technology, and encouraging strategic behaviors in salespeople are future research areas having good potential. Understanding and building positive psychology aspects in salespeople and their effect on sales performance is another promising area.

Newly added technological drivers draw the attention of sales firms toward the influence of technology and its skilful usage on salesperson performance. Newly added strategic activities makes a case for the importance of strategic participation in salesperson performance.

This review extends Verbeke et al.’s (2011) classification scheme to include recent changes that sales profession and literature have undergone.