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It's not all just tit-for-tat: the impact of relational identification on subordinate's attitudes and interpersonal citizenship behavior

Published online by Cambridge University Press:  19 January 2022

David M. Sluss*
Affiliation:
ESSEC Business School, Cergy, France
Danielle Cooper
Affiliation:
Department of Management, College of Business, University of North Texas, Denton, Texas, USA
Daniel L. Morrell
Affiliation:
Department of Management and Marketing, Jennings A. Jones College of Business, Middle Tennessee State University, Murfreesboro, Tennessee, USA
Bryant S. Thompson
Affiliation:
Goddard School of Business & Economics, Weber State University, Ogden, Utah, USA
*
Author for correspondence: David M. Sluss, E-mail: david.sluss@essec.edu
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Abstract

We explore how relational identification (RI) complements the influence of relational exchange within work role-relationships. In two temporally-lagged studies, we examine the contribution of RI, after accounting for relational exchange quality (REQ), in predicting organizationally-relevant behaviors and attitudes – namely, (1) interpersonal citizenship behaviors (ICBs; person-focused and task-focused), (2) job satisfaction, and (3) affective organizational commitment. Across samples of ‘non-professional’ (N = 152) and ‘professional’ (N = 197) employees, we found that RI (after accounting for REQ) significantly predicted outcomes. Indeed, we found RI to be the only predictor (after accounting for REQ) with affective commitment (‘non-professional’ sample only), person-focused ICBs (both samples), and task-focused ICBs (both samples). We discuss potential approaches for better specifying both identification and exchange as well as their unique and interactive effects within work role-relationships as well as managerial implications, limitations, and future research directions.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press and Australian and New Zealand Academy of Management 2022
Figure 0

Table 1. Study 1 confirmatory factor analysis

Figure 1

Table 2. Study 1 descriptive statistics, reliabilities, and correlations

Figure 2

Figure 1. Study 1 final model. Note. N = 152. †Significant at p⩽.10. *Significant at p⩽.05. **Significant at p⩽.01. χ2 = 266.17 (df = 175); CFI = .95; TLI = .94; RMSEA = .06; p-value test for close fit (RMSEA < .05) = .16. For ease of presentation, we only show the structural model. Note, per standard practice, RI and REQ were allowed to covary.

Figure 3

Table 3. Study 2 confirmatory factor analysis

Figure 4

Table 4. Study 2 descriptive statistics, reliabilities, and correlations

Figure 5

Figure 2. Study 2 final model. Note. N = 197. *Significant at p ⩽ .05. **Significant at p ⩽ .01. χ2 = 279.43 (df = 174); CFI = .96; TLI = .95; RMSEA = .06; p-value test for close fit (RMSEA < .05) = .14. γs reflect the standardized regression coefficients. For ease of presentation, we only show the structural model. Note, per standard practice, RI and REQ were allowed to covary.