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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 study is to understand the profit implications of analytics-driven centralized discriminatory pricing at the headquarter level compared with sales force price delegation in the purchase of an aftermarket good through an indirect retail channel with symmetric information.

Using individual-level loan application and approval data from a North American financial institution and segment-level customer risk as the price discrimination criterion for the firm, the authors develop a three-stage model that accounts for the salesperson’s price decision within the limits of the latitude provided by the firm; the firm’s decision to approve or not approve a sales application; and the customer’s decision to accept or reject a sales offer conditional on the firm’s approval. Next, the authors compare the profitability of this sales force price delegation model to that of a segment-level centralized pricing model where agent incentives and consumer prices are simultaneously optimized using a quasi-Newton nonlinear optimization algorithm (i.e. Broyden–Fletcher–Goldfarb–Shanno algorithm).

The results suggest that implementation of analytics-driven centralized discriminatory pricing and optimal sales force incentives leads to double-digit lifts in firm profits. Moreover, the authors find that the high-risk customer segment is less price-sensitive and firms, upon leveraging this segment’s willingness to pay, not only improve their bottom-line but also allow these marginalized customers with traditionally low approval rates access to loans. This points out the important customer welfare implications of the findings.

Substantively, to the best of the authors’ knowledge, this paper is the first to empirically investigate the profitability of analytics-driven segment-level (i.e. discriminatory) centralized pricing compared with sales force price delegation in indirect retail channels (i.e. where agents are external to the firm and have access to competitor products), taking into account the decisions of the three key stakeholders of the process, namely, the consumer, the salesperson and the firm and simultaneously optimizing sales commission and centralized consumer price.

The purpose of this paper is to explore how business-to-business (B2B), intercultural, interpersonal salesperson–customer relationships develop using the lens of identity management theory (IMT; Imahori and Cupach, 2005).

The research uses qualitative semi-structured interviews on 18 targeted relationships with customers from another culture conducted with business-to-business salespeople.

The findings indicate that our respondents' relationships moved from trial toward enmeshment and on occasion toward the renegotiation phase, as described in IMT. In the case of low cultural diversity between salesperson and customer, the relationships reached the trial and enmeshment phase. In the case of high cultural diversity between salesperson and customer, the relationships on occasion evolved toward the renegotiation phase. Salespeople's cultural intelligence (CQ) facilitates the development of interpersonal, intercultural salesperson–customer relationships.

The authors transfer IMT from the personal relationship development arena to B2B intercultural, interpersonal relationships, address a gap in the literature in the understanding of salesperson–customer interpersonal relationships in different contexts and develop a theoretical model to understand intercultural, interpersonal salesperson–customer relationship development across different levels of cultural diversity.

The learning outcomes of this case study are to understand the business-to-business (B2B) consumer outlook on mental health care in emerging markets; analyse the challenges faced in creating a need for mental health care in Indian workplaces; explore the business attractiveness of the B2B model and understand the business potential of the B2B segment at heyy,; and contemplate different innovative strategies that could change consumer mindset on mental health care in emerging markets.

Ankit, the founder and CEO of heyy, was facing a conundrum. “heyy,” was built on normalizing mental well-being at workplaces. His mental health-care app heyy, had crossed 50,000 subscribers within a few months of launch. The mobile app was designed to spread mental health awareness and provide various levels of mental well-being interventions. Business-to-consumer and B2B customer segmentation had been targeted by this start-up. The B2B space consisted of employees working with partner organizations. The adoption rates of employees using the features of heyy, declined after the initial app download. The employees had yet to fully become acclimatized to the features of heyy,. Exploring the business potential and investigating the business attractiveness of the B2B segment were the focus of the present study. Ankit contemplated various strategies he could adopt to increase user adoption of “heyy,” services by employees in his partner organizations. The case study strives to address the question – “What are the risks faced by organizations when entering the mental health-care industry in emerging markets like India, where mental health care is still not openly discussed?”

This case study is designed to be taught as part of the “entrepreneurship development” and “strategic management” courses for undergraduates, postgraduates and students of executive programmes in management. Students need to be aware of basic strategic management concepts such as BCG matrix, SWOT analysis and business canvas before working on this case study, so they could dissect the case from multiple perspectives to get a comprehensive outlook on the case.

Teaching notes are available for educators only.

CSS 11: Strategy.

The impact of frontline robots (FLRs) on customer orientation perceptions remains unclear. This is remarkable because customers may associate FLRs with standardization and cost-cutting, such that they may not fit firms that aim to be customer oriented.

In four experiments, data are collected from customers interacting with frontline employees (FLEs) and FLRs in different settings.

FLEs are perceived as more customer-oriented than FLRs due to higher competence and warmth evaluations. A relational interaction style attenuates the difference in perceived competence between FLRs and FLEs. These agents are also perceived as more similar in competence and warmth when FLRs participate in the customer journey's information and negotiation stages. Switching from FLE to FLR in the journey harms FLR evaluations.

The authors recommend firms to place FLRs only in the negotiation stage or in both the information and negotiation stages of the customer journey. Still then customers should not transition from employees to robots (vice versa does no harm). Firms should ensure that FLRs utilize a relational style when interacting with customers for optimal effects.

The authors bridge the FLR and sales/marketing literature by drawing on social cognition theory. The authors also identify the product categories for which customers are willing to negotiate with an FLR. Broadly speaking, this study’s findings underline that customers perceive robots as having agency (i.e. the mental capacity for acting with intentionality) and, just as humans, can be customer-oriented.

Chatbots are increasingly used in online retail settings and are becoming a powerful tool for brands to engage customers. However, consumers’ satisfaction with these chatbots is mixed. Thus, this paper aims to investigate how using a social- versus task-oriented anthropomorphic communication style can improve customer satisfaction.

The authors explore the link between the anthropomorphic communication style use and customer perceptions/customer satisfaction in online customer service interactions. Two experiment scenarios were developed to test these links.

Overall, using a social-oriented communication style boosts customer satisfaction. Warmth perception of the chatbot mediates this effect, while chatbot’s anthropomorphised role (servant versus partner) moderates this effect.

This paper enriches the bilateral communication literature by extending the investigation on communication style effects to chatbot service interactions and revealing the psychological process driving the impacts. It also adds to the existing literature on chatbots as a customer service and contributes to the prominent topic examining how consumers react to artificial intelligence that is used to establish and maintain a relationship with them. Additionally, the authors also make contribution to the warmth and competence literature by demonstrating that customers can interpret social cues in chatbot service interactions mainly based on the warmth dimension. Thus, the authors further add to the growing chatbot humanness perception literature and respond to the calls for investigating more anthropomorphic design cues to enhance chatbot humanness. Finally, the authors also provide a way to help reconcile seemingly conflicting prior findings.