Between a rock and a hard place: Seizing the opportunity of demanding customers by means of frontline service behaviors
Introduction
During the last decade, the pendulum of power within commercial relationships has been steadily moving toward the customer side (Srivastava and Kaul, 2014). Customers are increasingly becoming more demanding in terms of value and overall experience (Kumar and Reinartz, 2018). Frontline employees (FLEs), with their boundary spanning function, are influenced by this increase in customers' expectations and demands because of the innate nature of the exchange process between customers and firms (Jelinek et al., 2006). Customers assess their overall service experience based on dynamic service interactions with FLEs, who are responsible for utilizing their competences as the unit of exchange (Vargo and Lusch, 2004). Service providers depend on FLEs to respond to customer demands as they are an indispensable part of the service experience (Sony and Mekoth, 2016) and at the heart of a firm's ability to adapt its services to match these demands (Gwinner et al., 2005).
Customer demandingness (CD) refers to the unique and countless demands of customers in acquiring need-fit, quality, support, and delivery from firms (Li and Calantone, 1998). Despite the efforts taken by most service firms to address the steady rise in CD and sophistication (Jaramillo et al., 2013; Kumar and Reinartz, 2018), many firms overlook some of their customers’ demands by not creating the proper value and service experience needed (Agnihotri et al., 2017a; Sandström et al., 2008). Furthermore, the lack of adequate knowledge regarding the CD concept has created a misconception of treating this concept as a consistent threat to service firms.
Service firms are being caught flat-footed and perceive higher levels of CD as, at best, inconvenient. The current study contradicts this misconception by showing that CD can result in higher levels of customer satisfaction (CS) on the condition that FLEs demonstrate and adapt their post-transaction service behaviors (SBs) that can drive value to customers. Frontline employees play a key role in keeping pace with customers' demands and creating value within the service exchange (Haas et al., 2012; Sheth and Sharma, 2008; Yoo, 2017). Despite the overall accepted importance of FLEs in providing excellent service exchange, there is still a need to examine the role of FLEs in creating customer value (CV) (e.g., Echchakoui, 2015; Plé, 2016). In addition, the post-transaction SBs experienced by customers during prolonged service exchange are overlooked in the literature (Agnihotri et al., 2017b). The relationships FLEs have with customers are dynamic in nature and require additional examination by means of understanding the synergetic experience between customers’ demands and the post-transaction SBs1 of investment account managers — hereinafter identified as FLEs. In turn, these behaviors lead to CS based on increased value-in-use.
Along the lines of adaptive performance theory (Gwinner et al., 2005; Pulakos et al., 2000) and FLEs' post-transaction SBs framework (Ahearne et al., 2007), we postulate that FLEs respond to changes in customers' demands by adapting their SBs to create value and satisfy customers. By answering customer demands through a superior service exchange, FLEs can improve customer experience and provide service with higher levels of CV (Vargo and Lusch, 2008). Frontline employers’ SBs have positive value-based and relational outcomes at the customer level.
This study contributes to the literature and practice by examining the adaptability of FLEs through their SBs that constitute a major part of the service exchange with customers. We empirically test FLEs' behaviors at times of increased CD, a situation service providers and their FLEs face more frequently nowadays. It is important to emphasize that the majority of past studies has focused on specific transaction SBs, overlooking post-transaction SBs in a relational service context. The current study contributes to the literature by investigating the individual role of FLEs’ post-transaction SBs in driving CS through value-based mechanisms. Table 1 includes definitions of the five SBs: diligence, inducements, information communication, sportsmanship, and empathy.
Section snippets
Adaptive performance theory
Adaptation is a broad concept (Baard et al., 2014) pertinent in a range of contexts (Sony and Mekoth, 2016) and should be examined differently between domains. Pulakos et al. (2000) developed a taxonomy of adaptive performance in which they found eight dimensions of employee adaptiveness. Each of these dimensions is job specific (Gwinner et al., 2005). Performance adaptation can be defined as “behavioral modifications made in response to the demands of a new or changing environment, or
Hypothesis development
Level of CD varies substantially between customers, forcing FLEs to exert additional effort to learn about the diverse needs of customers (Wang and Netemeyer, 2002). Accordingly, extra endeavors should be undertaken when serving demanding customers (Staples et al., 1999). Frontline employees can demonstrate one or more SBs when interacting with customers to influence the utility of the firm's offerings as experienced by its customers (Ahearne et al., 2007). Demanding customers expect FLEs to
Sample and data collection
The financial services sector was chosen as a relevant context for testing the model proposed. This sector is a major economic driver (Olavarría-Jaraba et al., 2018). The financial institutions examined in this study provide services that include administering mutual and investment funds, asset management, debt instruments, pension savings, and stock brokerage. In general, the services provided by such institutions are associated with higher complexity, risk, and user involvement (Babakus et
Measurement model
The fit of the measurement model and the validity and reliability of the measures were examined by conducting a confirmatory factor analysis (CFA). In the first measurement model tested, a poor fit was found with four items loading poorly (<0.6) on their respective constructs [χ2 = 1118.74, df = 384; χ2/df = 2.91; GFI = 0.82; CFI = 0.87; RMSEA = 0.08; PClose = .00; SRMR = 0.08]. One item from each of the following measures was dropped: CD, diligence, inducements, and sportsmanship. These items
Results
To examine the relationships hypothesized, a direct-effects model was tested. This model did not include the CV construct. A mediated-effects model including CV was tested afterwards. The overall model demonstrated a good fit [χ2 = 528.44, df = 225; χ2/df = 2.35; GFI = 0.90; CFI = 0.94; RMSEA = 0.07; SRMR = 0.06]. Table 3 presents a summary of the results.
In H1, positive relationships between CD and SBs — (a) diligence, (b) inducements, (c) information communication, (d) sportsmanship, and (e)
Discussion
The increase in customer demand for personalized and outstanding service exchange is making current markets more challenging for service providers. In this study, we focus on financial services institutions that administer mutual and pension funds to examine how five post-transaction SBs impacts CV and CS. This exploration considers the phenomena of increasing CD, which is a complex, dynamic, and overlooked concept. In the current study, we show that CD is not purely associated with negative
Theoretical and managerial implications
Our study, based on the theory of adaptability, contributes to services marketing literature by highlighting the importance of FLEs mastering different post-transaction SBs when interacting with demanding customers across an extended customer journey. In this study, we have demonstrated how CD affects FLE adaptability by means of post-transaction SBs. Customer demandingness motivates FLEs to serve customers better by adapting their SBs, eventually increasing CV and CS. Furthermore, some of the
Limitations and future research
The current study does not incorporate the revenue generated, sales return, or other outcomes per customer. This would highlight how CS results in better performance outcomes for service firms and allow us to understand the outcome of serving highly demanding customers. However, previous research has found that higher levels of CS increase turnover per customer. The question becomes, do demanding customers drive revenue? This is an important question as a loyal customer is likely to consume
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