| Literature DB >> 35967733 |
Bilal Ahmad1, Da Liu1, Muhammad Irfan2,3,4, José Álvarez-García5.
Abstract
The service-sales interaction should be aligned within and outside the organization, but many companies are not harvesting the benefits of this technique. In line with the conservation of resources (COR) theory, the current research investigates the impact of the salesforce control system on salesforce ambidexterity (service and sales interface), which eventually leads to emotional exhaustion service-related performance outcomes. We assess the proposed model using cross-sectional data of 321 Pakistani salespeople from B2B organizations and employ structural equation modeling for data analysis purposes. First, the study results show that behavior-based control has an inverse influence on salesforce ambidexterity. On the other hand, outcome-based control is positively associated with salesforce ambidexterity. In addition, salesforce ambidexterity is positively linked with emotional exhaustion. However, emotional exhaustion has a negative impact on both service innovation implementation and service recovery performance. Finally, the results demonstrate the significant and positive moderating influence of self-efficacy and customer demandingness between exogenous and endogenous constructs. The study is particularly important to B2B sales organizations struggling with the difficulties of salesforce ambidexterity and how they control their sales representatives.Entities:
Keywords: customer demandingness; emotional exhaustion; salesforce ambidexterity; salesforce control system; self-efficacy; service-related performance
Year: 2022 PMID: 35967733 PMCID: PMC9374007 DOI: 10.3389/fpsyg.2022.909656
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
FIGURE 1Conceptual framework.
Sample characteristics.
| Respondents profile | Frequency | Percentage |
| Gender | ||
| Male | 236 | 74% |
| Female | 85 | 26% |
| 20–25 | 92 | 29% |
| 26–30 | 66 | 21% |
| 31–35 | 75 | 23% |
| Age | ||
| 36–40 | 36 | 11% |
| 41–45 | 43 | 13% |
| 46 + years | 9 | 3% |
| Pharmaceuticals | 88 | 27% |
| Banking | 102 | 32% |
| Industry representation | ||
| Telecommunication | 84 | 26% |
| Information technology | 47 | 15% |
| Less than 1 year | 21 | 7% |
| 1–5 years | 153 | 48% |
| Sales experience | ||
| 6–10 years | 110 | 34% |
| 11–15 years | 16 | 5% |
| 16 + years | 21 | 7% |
Discriminant validity.
| Constructs | BBC | OBC | SA | EEX | SII | SRP | SSE | CD |
| BBC |
| |||||||
| OBC | 0.655 |
| ||||||
| SA | 0.133 | 0.255 |
| |||||
| EEX | 0.354 | –0.111 | 0.025 |
| ||||
| SII | 0.112 | –0.125 | 0.565 | –0.141 |
| |||
| SRP | –0.218 | 0.345 | 0.111 | –0.325 | 0.166 |
| ||
| SSE | 0.227 | 0.124 | 0.242 | 0.201 | 0.287 | 0.186 |
| |
| CD | 0.123 | 0.311 | 0.116 | 0.523 | 0.145 | –0.325 | 0.089 |
|
N = 321; BBC, behavior-based control; OBC, outcome-based control; SA, salesforce ambidexterity; EEX, emotional exhaustion; SII, salesforce innovation implementation; SRP, service recovery performance; SSE, salesforce self-efficacy; CD, customer demandingness. Bold values indicate the discriminant validity.
Factor loadings of measurements model.
| Constructs | Items | SFL | VIF | α | CR | AVE |
| Behavior-based control (BBC) | BBC1 | 0.921 | 2.534 | 0.937 | 0.955 | 0.841 |
| BBC2 | 0.934 | 2.870 | ||||
| BBC3 | 0.948 | 1.199 | ||||
| BBC4 | 0.945 | 2.568 | ||||
| Outcome-based control (OCB) | OBC1 | 0.897 | 2.936 | 0.886 | 0.912 | 0.723 |
| OBC2 | 0.927 | 3.785 | ||||
| OBC3 | 0.841 | 2.685 | ||||
| OBC4 | 0.923 | 3.179 | ||||
| Salesforce ambidexterity (SA) | SA1 | 0.773 | 2.203 | 0.911 | 0.925 | 0.510 |
| SA2 | 0.763 | 2.647 | ||||
| SA3 | 0.742 | 2.142 | ||||
| SA4 | 0.802 | 2.518 | ||||
| SA5 | 0.834 | 2.197 | ||||
| SA6 | 0.825 | 2.869 | ||||
| SA7 | 0.770 | 3.439 | ||||
| SA8 | 0.726 | 2.565 | ||||
| SA9 | 0.774 | 2.347 | ||||
| SA10 | 0.772 | 2.244 | ||||
| SA11 | 0.759 | 3.698 | ||||
| SA12 | 0.754 | 2.280 | ||||
| Emotional exhaustion (EEX) | EEX1 | 0.752 | 1.614 | 0.755 | 0.869 | 0.610 |
| EEX2 | 0.905 | 2.974 | ||||
| EEX3 | 0.842 | 2.272 | ||||
| EEX4 | 0.831 | 1.870 | ||||
| Salesforce innovation implementation (SII) | SII1 | 0.729 | 1.843 | 0.841 | 0.882 | 0.559 |
| SII2 | 0.774 | 2.054 | ||||
| SII3 | 0.715 | 1.565 | ||||
| Service recovery performance (SRP) | SRP1 | 0.867 | 2.915 | 0.898 | 0.918 | 0.692 |
| SRP2 | 0.907 | 3.799 | ||||
| SRP3 | 0.860 | 2.807 | ||||
| SRP4 | 0.905 | 3.703 | ||||
| SRP5 | 0.924 | 3.608 | ||||
| Salesforce self-efficacy (SSE) | SSE1 | 0.853 | 2.380 | 0.859 | 0.890 | 0.504 |
| SSE2 | 0.837 | 2.050 | ||||
| SSE3 | 0.882 | 2.052 | ||||
| SSE4 | 0.821 | 2.140 | ||||
| SSE5 | 0.748 | 2.021 | ||||
| Customer demandingness (CD) | CD1 | 0.735 | 1.824 | 0.844 | 0.888 | 0.665 |
| CD2 | 0.790 | 2.217 | ||||
| CD3 | 0.815 | 2.418 | ||||
| CD4 | 0.708 | 1.765 |
N = 321; SFL, standard factor loading; VIF, variance inflation factor; α, Cronbach’s alpha; CR, composite reliability; AVE, average variance extracted.
FIGURE 2Results of hypotheses. **, ***Indicate the level of significant.
Results of hypotheses.
| Hypothetical paths | β estimates | S.E | CI.95% | Results | ||
| H1 | BBC→SA | –0.119 | 0.053 | 2.267 | [–0.223, –0.034] | Supported |
| H2 | OBC→SA | 0.135 | 0.043 | 3.133 | [0.057, 0.221] | Supported |
| H3 | SA→EEX | 0.182 | 0.040 | 4.598 | [0.105, 0.265] | Supported |
| H4 | EEX→SII | –0.225 | 0.045 | 5.042 | [–0.303, –0.137] | Supported |
| H5 | EEX→SRP | –0.112 | 0.044 | 2.517 | [–0.200, 0.024] | Supported |
| H6 | SSE × OBC→SA | 0.468 | 0.076 | 6.157 | [0.331, 0.633] | Supported |
| H7 | SSE × BBC→SA | 0.123 | 0.042 | 2.928 | [0.052, 0.216] | Supported |
| H8 | CD × EEX→SII | –0.226 | 0.162 | 1.396 | [–0.351, 0.096] | Not supported |
| H9 | CD × EEX→SRP | –0.169 | 0.049 | 3.424 | [–0.305, –0.022] | Supported |
N = 321; level of significant ***p < 0.001, **p < 0.01; CI, confidence interval; S.E, standard error; BBC, behavior-based control; SA, salesforce ambidexterity; OBC, outcome-based control; SRP, service recovery performance; SII, service innovation implementation; EEX, emotional exhaustion; SSE, salesforce self-efficacy; CD, customer demandingness.
FIGURE 3Salesforce self-efficacy (SSE’s) high and low effects on salesforce ambidexterity (SA) through behavior-based control (BBC).
FIGURE 6Customer demandingness (CDs) high and low effects on service recovery performance (SRP) through emotional exhaustion (EEX).