Service Provider Loyalty Intentions (SPLI)

Abstract

The Service Provider Loyalty Intentions (SPLI) scale is a concise, psychometrically validated three-item instrument designed to assess a consumer’s propensity to maintain an ongoing commercial relationship, self-identify as a committed client, and resist switching to competing vendors. Originally developed and validated by Umashankar, Ward, and Dahl (2017) in the Journal of Marketing, the instrument was engineered to evaluate post-service-failure and service-recovery dynamics across diverse relationship paradigms (e.g., commercial ties versus communal “friendship” ties). The scale captures both attitudinal commitment and conative behavioral loyalty through a unidimensional structure evaluated on a 7-point Likert scale (ranging from 1 = “Strongly disagree” to 7 = “Strongly agree”). Across four controlled experimental investigations manipulating failure severity, complaint channels, and interpersonal ties, the SPLI demonstrated exceptional internal consistency, with Cronbach’s alpha coefficients consistently falling between .88 and .93. Confirmatory factor analyses confirm a robust single-factor architecture characterized by high standardized factor loadings (> .80) and robust convergent and discriminant validity against constructs such as transaction satisfaction, customer forgiveness, and negative word-of-mouth. While framed hypothetically (using conditional modal auxiliary verbs such as “would”) for high experimental control in scenario-based laboratory designs, the items can be readily adapted into indicative phrasing (“will”) for field studies assessing established, real-world customer-firm relationships. The SPLI stands as an efficient, highly reliable psychometric standard for consumer psychologists, service researchers, and marketing analysts seeking to assess customer retention trajectories without burdening survey respondents.

Keywords

Customer loyalty intentions, Service Provider Loyalty Intentions, service failure, service recovery, relationship marketing, consumer psychology, switching intentions, behavioral intentions, conative loyalty, psychometrics.

Authors

The Service Provider Loyalty Intentions scale was developed by a team of prominent researchers in consumer psychology and services marketing:

• Nita Umashankar, Ph.D. — Associate Professor of Marketing at the Fowler College of Business, San Diego State University. Her research focuses on customer relationship management, digital service channels, service recovery, and the financial implications of marketing strategies.
• Morgan K. Ward, Ph.D. — Associate Professor of Marketing at the Goizueta Business School, Emory University. Her scholarship investigates consumer behavior, social relationships, gift-giving phenomena, and interpersonal influence in consumption environments.
• Darren W. Dahl, Ph.D. — Innovatus Professor of Marketing and Former Dean of the Sauder School of Business, University of British Columbia. A leading scholar in creativity, social influence, emotional processing, and consumer brand relationships.

Purpose

The primary objective of the Service Provider Loyalty Intentions (SPLI) instrument is to evaluate the strength and resilience of a customer’s intention to preserve an active commercial relationship with a specific service vendor, particularly following interpersonal exchanges, service breakdowns, or organizational recovery efforts. In both theoretical and applied consumer research, understanding what motivates a client to remain with a firm rather than defecting to a competitor is fundamental to predicting firm solvency, customer lifetime value (CLV), and brand equity.

In service management environments, post-failure scenarios represent critical junctures. When an organization fails to deliver a core service adequately, customers reassess the relational equilibrium. Umashankar et al. (2017) constructed the SPLI to test how pre-existing interpersonal relationship types—specifically whether the customer views the provider as a purely transactional business acquaintance or as an authentic friend—interact with complaint behaviors to influence post-crisis retention. Because many customer-experience questionnaires suffer from severe survey fatigue, there was an acute psychometric need for an ultra-short, highly focused scale that captured the essence of loyalty intentions without inducing respondent attrition.

The SPLI fulfills critical functions across clinical, experimental, and organizational settings:

• Experimental Consumer Psychology: Providing an unambiguous, highly responsive dependent variable capable of detecting subtle experimental manipulations (e.g., procedural versus interactional justice, public versus private complaint channels).
• Services Marketing and Quality Management: Enabling rapid pulse-surveys and transaction-intercept questionnaires that benchmark customer retention probabilities immediately following customer service encounters.
• Cross-Industry Benchmarking: Supplying a standardized metric applicable across professional services (e.g., legal counsel, medical care, accounting), personal services (e.g., hairdressing, personal training), and retail hospitality environments.

Psychological Construct

The SPLI evaluates loyalty intentions directed toward a defined service provider. In psychological and marketing literature, loyalty is conceptualized not merely as repeated transactional behavior, but as a deeply held commitment to rebuy or repatronize a preferred product or service consistently in the future (Oliver, 1999). The SPLI synthesizes three interconnected psychological dimensions into an integrated unidimensional construct:

1. Conative Loyalty (Behavioral Continuity Intention)

Conative loyalty represents the specific behavioral intention to repurchase or continue doing business with the brand. Tapped directly by Item 1 (“I would continue doing business with this service provider”), this facet reflects deliberate, purposeful forward-looking action. Conative loyalty implies that the consumer has surpassed mere affective liking and cognitive preference; they have converted their attitudes into a conscious commitment to patronize the service entity during future buying opportunities (Zeithaml, Berry, & Parasuraman, 1996).

2. Attitudinal Self-Categorization (Subjective Loyalty Identity)

Captured by Item 2 (“I would consider myself loyal to this service provider”), this component addresses the psychological internalization of the relationship. When a consumer explicitly categorizes themselves as “loyal,” they align their personal identity and consumer agency with the service provider. Self-categorization theory suggests that individuals use social and economic classifications to structure their relational boundaries. Endorsing this item indicates that the customer views their attachment not as a random default choice or a byproduct of high switching costs, but as an authentic relational alignment.

3. Defection Propensity / Switching Resistance

Operationalized through the reverse-scored Item 3 (“I would switch to another service provider”), this dimension gauges the consumer’s resistance to competing market alternatives. True loyalty requires not only the willingness to stay, but also an active cognitive defense against competitive encroachment. In service recovery studies, failure events systematically expose firms to switching risks; capturing defection propensity in the same battery ensures that passive inertia is clearly separated from genuine, resilient loyalty.

Theoretical Framework

The formulation of the SPLI is grounded in several foundational paradigms in social psychology and organizational behavior:

1. Social Exchange Theory and Reciprocity Norms

Rooted in the sociology of George Homans (1958) and Peter Blau (1964), Social Exchange Theory posits that human interactions are transactional balances based on perceived cost-benefit ratios. In a market exchange, a customer weighs the perceived value, interpersonal treatment, and technical competence delivered by the service provider against the financial, psychological, and temporal costs incurred. When an organization successfully recovers from an error, or when the social exchange is characterized by mutual respect, the psychological norm of reciprocity compels the consumer to reward the provider with forward-looking loyalty intentions.

2. Communal Versus Exchange Relationship Theory

Central to the empirical work of Umashankar, Ward, and Dahl (2017) is the distinction formulated by Clark and Mills (1979) between exchange relationships and communal relationships. In exchange relationships, benefits are rendered with the explicit expectation of prompt, comparable repayment. In communal relationships (such as genuine friendships), benefits are given in response to the other’s needs and well-being, without immediate ledger-keeping. When service providers forge “friendship ties” with clients, service failures are judged through a communal lens. The SPLI accurately traces the boundaries of this dynamic: when communal customers can “voice” their grievances through complaining, their psychological contract is validated, fostering significantly higher loyalty intentions than seen in purely transactional relationships.

3. Hirschman’s Exit, Voice, and Loyalty (EVL) Model

Albert O. Hirschman’s seminal framework (1970) posited that consumers facing deteriorating organizational performance have two primary avenues of response: Exit (discontinuing the relationship and switching to another provider) or Voice (articulating dissatisfaction in an effort to remedy the defect). Underlying these choices is Loyalty, which functions as a psychological buffer that discourages exit and promotes voice. The SPLI directly measures the post-voice resolution: whether the opportunity to express voice successfully preserves loyalty or accelerates exit.

Validity

The psychometric integrity of the SPLI was rigorously established across multiple independent samples in Umashankar, Ward, and Dahl’s (2017) empirical research program, encompassing distinct service settings including automotive maintenance, high-end hairdressing, and personal fitness instruction.

1. Construct and Factorial Validity

Construct validity was demonstrated via both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Across all four experimental investigations in the original study, the three items loaded cleanly onto a single underlying construct. Factor loadings consistently exceeded the standard .70 threshold (ranging from .82 to .94 across studies), confirming that each item accounts for a substantial proportion of the shared variance.

2. Convergent Validity

Convergent validity has been established by calculating the Average Variance Extracted (AVE). In all validation samples, the AVE for the three-item construct exceeded the conventional benchmark of .50 (frequently exceeding .72), indicating that the variance captured by the construct is markedly greater than the variance attributable to measurement error. Furthermore, the SPLI correlated strongly and positively with validated multi-item scales measuring overall satisfaction (r values typically ranging from .65 to .78, p < .001) and willingness to recommend via positive word-of-mouth (WOM; r > .70, p < .001).

3. Discriminant Validity

Discriminant validity was established utilizing the Fornell and Larcker (1981) criterion. The square root of the AVE for the SPLI consistently exceeded the inter-construct correlations between the SPLI and related operational variables, including complaint satisfaction, relationship strength, perceived interactional justice, and failure severity. This demonstrates that although loyalty intentions are influenced by failure attribution and recovery quality, the SPLI measures a distinct cognitive-behavioral construct rather than a redundant reflection of service satisfaction.

4. Predictive and Criterion-Related Validity

The SPLI demonstrated exceptional predictive validity by successfully capturing significant interaction effects between relationship ties (friendship vs. business-only) and complaint behavior (complaining vs. not complaining). Specifically, in Study 1 ($N = 191$) and Study 2 ($N = 251$), planned contrasts confirmed that for customers with strong relational ties, expressing voice via complaints yielded statistically significant surges in SPLI scores ($M_{\text{compla\int}} = 5.61$ vs. $M_{\text{no-compla\int}} = 4.43$; $p < .001$). This confirms the instrument’s sensitivity in discerning fine-grained differences in relational repair trajectories.

Reliability

The reliability of the Service Provider Loyalty Intentions scale has been validated through multiple criteria across experimental and cross-sectional deployments:

1. Internal Consistency

Internal consistency estimates for the SPLI consistently surpass accepted psychometric cutoffs ($lpha ge .70$ for exploratory research, $ge .80$ for confirmatory designs):

• Study 1: Automotive repair context ($N = 191$); Cronbach’s $lpha = .89$.
• Study 2: Stylist/Hair salon context ($N = 251$); Cronbach’s $lpha = .91$.
• Study 3: Personal fitness training scenario ($N = 298$); Cronbach’s $lpha = .92$.
• Study 4: Field-simulated service platform ($N = 344$); Cronbach’s $lpha = .93$.

Composite Reliability (CR) metrics consistently exceeded .90 across all studies, demonstrating that the three items function with uniform precision in reflecting the latent loyalty intention construct.

2. Item-Total Correlations and Reversibility

Corrected item-to-total correlations for all three indicators regularly exceed .72. Item 3 (“I would switch to another service provider”, reverse-coded) demonstrates robust negative covariance with the two positively valenced indicators prior to inversion, confirming that respondents across experimental conditions reliably register the inverse meaning of defection against continuation.

Factor Analysis

Confirmatory factor analyses across experimental investigations provide empirical verification of the scale’s unidimensional architecture. When evaluated using maximum likelihood estimation in structural equation modeling (SEM) packages, the three-item instrument yields an exact-fit or saturated model ($df = 0$) when tested in isolation. When incorporated into broader measurement models containing other latent variables (e.g., relationship closeness, service failure severity, post-recovery satisfaction), the measurement model demonstrates exemplary fit indices:

• Comparative Fit Index (CFI): $ge .98$
• Tucker-Lewis Index (TLI): $ge .97$
• Root Mean Square Error of Approximation (RMSEA): $le .045$ (90% CI [.000, .072])
• Standardized Root Mean Square Residual (SRMR): $le .028$

Table: Standardized Factor Loadings ($lambda$) and Uniqueness Values

Because the loadings are homogeneously high and load without cross-loadings onto secondary operational factors, the assumption of strict unidimensionality is robustly satisfied.

Instrument / Measurement Tool

The Service Provider Loyalty Intentions (SPLI) instrument is summarized in the structural overview below:

• Instrument Type: Self-report psychometric scale (attitudinal and conative behavioral intentions).
• Number of Items: 3 items (2 positively keyed, 1 reverse-keyed).
• Response Format: 7-point Likert scale (1 = Strongly disagree, 7 = Strongly agree).
• Administration Modality: Paper-and-pencil, computer-assisted web interview (CAWI), or mobile micro-survey.
• Estimated Completion Time: Less than 60 seconds (minimizes cognitive load and survey drop-out).
• Scoring Protocol:
  • Step 1: Reverse-code Item 3: $\text{Item } 3_{\text{recoded}} = 8 – \text{Raw Score}$.
  • Step 2: Compute the composite score by calculating the arithmetic mean of Item 1, Item 2, and the recoded Item 3:
    $$\text{SPLI} = \frac{\text{Item 1} + \text{Item 2} + (8 – \text{Item 3})}{3}$$
  • Interpretation: Composite scores range from 1.00 to 7.00. Higher mean values indicate stronger intentions to remain with and remain loyal to the service provider; lower scores indicate high defection vulnerability.
• Linguistic Flexibility: Formulated using conditional modal auxiliary phrasing (“would”) to suit hypothetical experimental vignettes, laboratory simulations, and scenario manipulations. For retrospective or longitudinal field studies measuring real consumers, the phrasing can be converted to the future indicative (“will”).

Permissions & Fee and Test Year

The Service Provider Loyalty Intentions scale was published in 2017 in the Journal of Marketing, published by the American Marketing Association (AMA). The items and conceptual model are documented in the peer-reviewed public domain for non-commercial, scholarly research purposes.

Academic researchers may utilize the three-item instrument in educational, non-profit, or experimental studies without paying licensing fees, provided formal attribution is given to the original authors (Umashankar, Ward, & Dahl, 2017). Commercial organizations, customer experience (CX) management software vendors, or commercial market research enterprises seeking to embed the scale within proprietary enterprise feedback systems should verify licensing terms or permissions through the American Marketing Association or Copyright Clearance Center (CCC).

References

• Blau, P. M. (1964). Exchange and power in social life. John Wiley & Sons.
• Clark, M. S., & Mills, J. (1979). Interpersonal attraction in exchange and communal relationships. Journal of Personality and Social Psychology, 37(1), 12–24. https://doi.org/10.1037/0022-3514.37.1.12
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
• Hirschman, A. O. (1970). Exit, voice, and loyalty: Responses to decline in firms, organizations, and states. Harvard University Press.
• Homans, G. C. (1958). Social behavior as exchange. American Journal of Sociology, 63(6), 597–606. https://doi.org/10.1086/222355
• Morgan, R. M., & Hunt, S. D. (1994). The commitment-trust theory of relationship marketing. Journal of Marketing, 58(3), 20–38. https://doi.org/10.1177/002224299405800302
• Oliver, R. L. (1999). Whence consumer loyalty? Journal of Marketing, 63(4_suppl1), 33–44. https://doi.org/10.1177/00222429990634s105
• Umashankar, N., Ward, M. K., & Dahl, D. W. (2017). The benefit of becoming friends: Complaining after service failures leads customers with strong ties to increase loyalty. Journal of Marketing, 81(6), 79–98. https://doi.org/10.1509/jm.15.0196
• Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. Journal of Marketing, 60(2), 31–46. https://doi.org/10.1177/002224299606000203

Items of the Scale