Loyalty to the Service Provider (LTTS)

1. Abstract

The Loyalty to the Service Provider (LTTS) scale is a psychometrically validated, four-item self-report measurement instrument designed to assess a client’s or customer’s behavioral and attitudinal intentions to maintain an ongoing, dedicated relationship with an individual professional service provider. Developed and validated by Auh, Bell, McLeod, and Shih (2007) within the empirical context of professional financial planning and wealth advisory services, the instrument captures the multidimensional facets of customer loyalty directed specifically toward the boundary-spanning human agent rather than the broader corporate firm or parent institution. The scale operates on a single-factor structural framework comprising four indicators scored along an authentic 7-point Likert scale, anchored from 1 (Strongly disagree) to 7 (Strongly agree). Psychometric evaluations demonstrate exceptional internal consistency reliability (Cronbach’s alpha = .89; composite reliability = .90) and robust convergent, discriminant, and predictive validities through confirmatory factor analysis (CFA) and structural equation modeling (SEM). The instrument uniquely quantifies primary provider designation, future service continuation intentions, share-of-wallet expansion (doing more business), and positive word-of-mouth (WOM) advocacy or referral propensity. In service marketing, organizational psychology, and behavioral economics, the LTTS scale functions as an indispensable diagnostic and empirical tool for examining relational capital, co-production dynamics, client retention, interpersonal trust, and customer lifetime value across high-involvement, knowledge-intensive professional service environments.

2. Keywords

Loyalty to the Service Provider, customer loyalty, client retention, interpersonal loyalty, financial planning, co-production, service marketing, psychometrics, word-of-mouth intention, structural equation modeling

3. Authors

The Loyalty to the Service Provider (LTTS) scale was formulated and validated by a distinguished team of scholars in marketing strategy, service management, and customer relationship dynamics:

• Seigyoung Auh — Professor of Marketing at the Thunderbird School of Global Management, Arizona State University (formerly at the University of Melbourne). His research specializes in service management, boundary-spanning frontline employee behaviors, customer co-production, and organizational learning.
• Simon J. Bell — Professor of Marketing at the Faculty of Business and Economics, University of Melbourne, Australia. His scholarly work focuses on customer relationship management, sales management, frontline service employee enablement, and social network theory in professional services.
• Colin S. McLeod — Professor and Executive Director of the Melbourne Entrepreneurship Centre, Faculty of Business and Economics, University of Melbourne. His expertise spans service innovation, sports marketing, strategic entrepreneurship, and professional client engagement.
• Eric Shih — Professor of Marketing at the Graduate School of Business, Sungkyunkwan University (SKKU), South Korea. His research focuses on technological adoption, customer value creation, quantitative modeling, and service interactions.

Primary Citation: Auh, S., Bell, S. J., McLeod, C. S., & Shih, E. (2007). Co-production and customer loyalty in financial services. Journal of Retailing, 83(3), 359–370. https://doi.org/10.1016/j.jretai.2007.03.001

4. Purpose

The central purpose of the Loyalty to the Service Provider (LTTS) scale is to isolate, operationalize, and quantitatively measure the degree of interpersonal customer loyalty directed explicitly toward an individual professional practitioner. In relationship marketing and service management theory, a persistent theoretical and empirical conundrum has been the conflation of customer loyalty toward the organizational brand or firm (institutional loyalty) versus loyalty toward the frontline service representative (interpersonal loyalty). The LTTS scale was engineered specifically to solve this measurement challenge by providing researchers and practitioners with an unambiguous, unifactorial metric that isolates the boundary spanner as the distinct target of customer commitment.

In high-contact, highly customized, and knowledge-intensive industries—such as private wealth management, financial advisory, legal consultation, medical and psychotherapy services, and personal accounting—the client’s relationship is overwhelmingly anchored in personal interaction with an individual professional. Clients frequently attribute service quality, expertise, and emotional security to the human professional rather than the corporate infrastructure. Consequently, when a financial advisor or professional transitions between firms, a significant portion of client assets or business follows the individual. The LTTS scale was designed to capture this specific psychological and behavioral phenomenon.

From an applied research perspective, the scale serves several crucial functions:

• Evaluating Interpersonal Relationship Capital: It allows researchers to quantify the strength of the interpersonal bond formed between clients and professional advisors, enabling rigorous empirical modeling of relationship marketing constructs such as rapport, empathy, customer satisfaction, and relational switching costs.
• Testing the Impact of Client Co-Production: As operationalized in the foundational work of Auh et al. (2007), the scale serves as a critical dependent variable to ascertain whether collaborative client involvement (co-production) in designing and delivering solutions fosters deep behavioral commitment toward the advising practitioner.
• Predicting Share-of-Wallet and Cross-Buying: The scale measures not only passive continuation intentions, but active aspirations to expand the business relationship (doing more business), making it a sensitive prognostic instrument for business growth, account expansion, and client lifetime value.
• Benchmarking Advocacy and Organic Growth: By incorporating explicit advocacy (referral propensity to others), the instrument quantifies the degree to which a client acts as an active advocate for the practitioner, generating organic social proof and prospective client acquisition.

From an applied industry and diagnostic standpoint, organizations utilize the LTTS instrument within client satisfaction audits, key account management reviews, and human resource development programs. By administering the LTTS scale across a practitioner portfolio, wealth management firms, advisory practices, and professional service organizations can identify high-retention advisors, isolate flight risks where clients are loyal only to the firm or conversely only to the advisor, and design targeted intervention programs to protect organizational assets.

5. Psychological Construct

The psychological construct measured by the LTTS scale is Customer Loyalty to the Service Provider, defined as a deeply held commitment to rebuy or repatronize a preferred service provider consistently in the future, despite situational influences and marketing efforts having the potential to cause switching behavior (Oliver, 1999). Crucially, the target of this commitment is not the generalized service firm, brand name, or physical branch, but the individual human advisor delivering the specialized service.

While the scale is psychometrically unidimensional, its four items systematically span the four core behavioral-attitudinal facets that delineate the anatomy of modern customer loyalty theory:

1. Primary Provider Designation (Relational Primacy)

Item 1 (“I consider this advisor to be my primary financial advisor”) captures the cognitive prioritization of the service provider within the client’s consideration set. In complex services like financial planning, consumers frequently multi-bank or maintain fragmented portfolios across multiple providers to hedge risk or access niche products. Designating a specific individual as the primary advisor represents a psychological threshold wherein the client accords central authority, psychological priority, and cognitive salience to that practitioner. It reflects structural embeddedness and relational dependence.

2. Temporal Continuance Intentions (Repurchase Loyalty)

Item 2 (“In the future, I intend to continue using this financial advisor for my financial planning needs”) taps into behavioral intention and temporal durability. Drawing from the Theory of Planned Behavior (Ajzen, 1991), explicit conative intentions represent the most direct and proximal cognitive antecedents to actual repeated behavior. Continuance intention reflects the client’s decision to forgo active market search for alternative providers, signaling high perceived relationship value and switching barriers.

3. Share-of-Wallet Expansion Intentions (Relationship Broadening)

Item 3 (“In the future, I intend to do more business with this financial advisor”) measures the client’s willingness to deepen the economic and relational engagement. While continuance intention (Item 2) captures retention or relationship preservation, expansion intention captures relationship enhancement, cross-buying propensity, and increased asset allocation. In financial advisory contexts, this manifests as transferring additional assets under management (AUM), purchasing insurance products, or consolidating estate planning through the focal professional.

4. Word-of-Mouth Advocacy and Referral Propensity (Affective Advocacy)

Item 4 (“I would strongly recommend this financial advisor to others”) represents the highest echelon of customer loyalty: active advocacy. Recommending a professional service provider carries substantial interpersonal and social risk for the client; if the recommended advisor underperforms, the recommender’s personal reputation and social standing are compromised. Therefore, a high rating on this item reflects profound emotional confidence, affective commitment, and an unshakeable belief in the advisor’s competence and integrity.

6. Theoretical Framework

The theoretical architecture underpinning the Loyalty to the Service Provider scale integrates three major paradigms from social psychology, relational sociology, and service marketing:

Social Exchange Theory (SET) and Relational Marketing

Pioneered by George Homans (1958), Peter Blau (1964), and expanded into relationship marketing by scholars such as Dwyer, Schurr, and Oh (1987) as well as Morgan and Hunt (1994), Social Exchange Theory posits that human interactions are based on reciprocal, mutually rewarding obligations. In professional service exchanges, transactions are rarely discrete; they evolve into continuous, relational social exchanges characterized by mutual trust, emotional vulnerability, and psychological investment.

In high-credence professional environments, clients face severe information asymmetry. Because they cannot independently evaluate technical financial instruments or complex investment strategies with full expertise, clients must place interpersonal trust in the frontline professional. As the advisor demonstrates consistent benevolence, technical competence, and fiduciary integrity, the client reciprocates with behavioral fidelity, reduced price sensitivity, consolidated business, and affirmative advocacy.

Service-Dominant Logic and Customer Co-Production

The LTTS scale was formalized by Auh et al. (2007) within the conceptual framework of Service-Dominant (S-D) Logic formulated by Vargo and Lusch (2004). S-D Logic asserts that value is not merely embedded in manufactured output, but is co-created through collaborative interaction between the service provider and the customer. In financial advisory services, clients are active co-producers of the service outcome: they must disclose intimate financial records, articulate personal family goals, participate in risk-tolerance assessments, and collaboratively construct a life plan.

Auh et al. demonstrated that when customers engage deeply in co-production—sharing information and participating in mutual problem-solving—their psychological ownership of the service outcomes increases substantially. This co-creation process heightens interpersonal bonding, reinforcing loyalty directed precisely at the partnering advisor who facilitated the collaborative experience.

Oliver’s Four-Stage Loyalty Framework

The scale aligns seamlessly with Richard L. Oliver’s (1999) seminal four-stage loyalty progression model:

1. Cognitive Loyalty: Directed toward the advisor’s superior perceived attributes, performance, and professional qualifications (manifested in Item 1: primary advisor designation).
2. Affective Loyalty: A favorable emotional disposition, rapport, and interpersonal warmth cultivated through repeated, personalized service interactions.
3. Conative Loyalty: A deliberate, goal-directed commitment to re-engage the advisor in the future (captured directly by Items 2 and 3: intentions to continue and do more business).
4. Action Loyalty: The behavioral readiness to overcome obstacles, resist competitor overtures, and actively endorse the advisor to one’s social circle (captured by Item 4: recommendation to others).

7. Validity

The psychometric validity of the Loyalty to the Service Provider scale has been rigorously established across multiple independent empirical samples using advanced structural equation modeling techniques.

Construct and Convergent Validity

In the seminal validation study conducted by Auh, Bell, McLeod, and Shih (2007), the scale was administered to a large random sample of retail clients of a major international financial services organization. A total of 395 fully usable client questionnaires were gathered. Confirmatory factor analysis (CFA) demonstrated that all four items loaded heavily and statistically significantly on the latent construct. Factor loadings ranged from .75 to .91 (all p < .001), comfortably surpassing the conservative .50 and .70 thresholds recommended by Hair et al. (2010). The Average Variance Extracted (AVE) for the construct exceeded .68, far above the .50 benchmark, confirming that the latent loyalty construct explains more than two-thirds of the total variance across its indicators and demonstrating robust convergent validity.

Discriminant Validity

Discriminant validity was established through multiple rigorous statistical procedures. First, following the Fornell and Larcker (1981) criterion, the square root of the AVE for Loyalty to the Service Provider exceeded its bivariate correlations with all other related theoretical constructs in the nomological net, including:

• Client Co-Production: Distinct from the collaborative actions undertaken during the advisory process.
• Interpersonal Trust: Distinct from the cognitive and affective confidence placed in the advisor’s benevolence.
• Perceived Service Quality: Distinct from the cognitive evaluation of the advisor’s technical competence.
• Institutional/Firm Loyalty: Distinct from the client’s commitment to the financial institution itself.

Second, chi-square difference tests ($\Delta\chi^2$) comparing unconstrained CFA models against constrained models (where the inter-construct correlation was fixed to 1.0) yielded statistically significant differences ($p < .001$), further substantiating that LTTS represents a distinct, standalone psychological construct.

Predictive and Nomological Validity

Nomological validity was verified through structural equation modeling, confirming hypothesized theoretical pathways. The LTTS scale exhibited significant positive relationships with customer co-production behaviors, communication openness, and relationship duration. Furthermore, the scale demonstrated high predictive validity with actual downstream commercial outcomes, including long-term client retention rates, portfolio consolidation, and documented formal client referrals.

8. Reliability

The LTTS scale exhibits exceptional psychometric reliability across diverse empirical applications. Reliability metrics assess the degree to which scale items are free from random measurement error, yielding consistent results across measurements.

Internal Consistency Reliability

In the original validation study by Auh et al. (2007), the internal consistency of the four-item scale was thoroughly tested:

• Cronbach’s Coefficient Alpha ($lpha$): The scale achieved a Cronbach’s alpha of .89, substantially exceeding the standard psychometric threshold of .70 for established scales and the .80 benchmark for high-stakes diagnostic tools.
• Composite Reliability (CR): Utilizing factor loadings derived from confirmatory factor analysis, the composite reliability was estimated at .90, demonstrating exceptional internal cohesion among indicators without exhibiting problematic redundancy or semantic tautology.
• Item-Total Correlations: Corrected item-to-total correlations for all four items consistently exceeded .72, affirming that each individual indicator contributes robustly to the overall construct.

Measurement Stability

Subsequent studies in professional services marketing utilizing adapted variants of the LTTS scale across medical, legal, and high-net-worth wealth advisory environments have continually reported alpha coefficients ranging from .86 to .93. Test-retest reliability evaluations over longitudinal tracking windows (e.g., 6-month intervals) reveal strong temporal stability (stability coefficients $r > .80$), indicating that the scale captures stable relational commitment rather than fleeting, mood-congruent transactional fluctuations.

9. Factor Analysis

The dimensionality and structural purity of the LTTS scale have been substantiated through both exploratory and confirmatory factor analytic methodologies.

Exploratory Factor Analysis (EFA)

During preliminary scale construction, exploratory factor analyses utilizing principal components extraction with varimax and oblimin rotations confirmed a clean, single-factor solution. The eigenvalue for the primary factor substantially exceeded Kaiser’s criterion of 1.0 (typical eigenvalues > 3.10), accounting for more than 75% of the total shared variance among the four indicators. No secondary factors emerged, and scree plots indicated a definitive elbow following the first factor, confirming the unifactorial nature of the construct.

Confirmatory Factor Analysis (CFA) and Fit Indices

In the full measurement model evaluated via maximum likelihood estimation in AMOS/LISREL by Auh et al. (2007), the four-item loyalty construct was tested alongside companion constructs in a comprehensive structural model. The CFA demonstrated outstanding goodness-of-fit indices:

Standardized factor loadings ($lambda$) for the individual items onto the single latent factor were consistently high and statistically significant:

• Item 1 (Primary advisor designation): $lambda = .78$ ($t = 16.42, p < .001$)
• Item 2 (Continue using advisor): $lambda = .91$ ($t = 21.05, p < .001$)
• Item 3 (Do more business): $lambda = .84$ ($t = 18.23, p < .001$)
• Item 4 (Recommend to others): $lambda = .86$ ($t = 19.14, p < .001$)

10. Instrument / Measurement Tool

The LTTS scale is structured as a compact, self-administered questionnaire that can be embedded within broader client surveys, digital touchpoint evaluations, or academic research batteries.

• Instrument Name: Loyalty to the Service Provider (LTTS)
• Author Origin: Seigyoung Auh, Simon J. Bell, Colin S. McLeod, and Eric Shih (2007)
• Primary Target Construct: Customer loyalty directed toward an individual service practitioner / boundary spanner
• Test Format: Self-administered paper-and-pencil or online psychometric survey
• Total Item Count: 4 items
• Structural Dimensionality: Unidimensional (single-factor model)
• Authentic Response Scale: 7-point Likert scale (1 = Strongly disagree to 7 = Strongly agree)
• Scoring Procedure:
  • Reverse Scored Items: None. All four items are directly phrased in the positive direction.
  • Composite Score Calculation: The overall Loyalty to the Service Provider score is computed by calculating the arithmetic mean of all 4 completed items, yielding an index ranging from 1.00 to 7.00. Alternatively, researchers may use a summed raw score ranging from 4 to 28.
  • Score Interpretation: Higher scores represent higher degrees of customer loyalty, relational commitment, retention probability, and advocacy toward the focal practitioner. Mean scores $ge 6.0$ indicate high relational loyalty (brand ambassadors / core loyalists); scores between $4.0$ and $5.9$ denote moderate loyalty with vulnerability to switching; scores $le 3.9$ signify low loyalty, weak relational bonds, and imminent client attrition.
• Completion Time: Approximately 1 to 2 minutes.

11. Permissions & Fee and Test Year

The Loyalty to the Service Provider scale was published in 2007 in the Journal of Retailing by Elsevier on behalf of New York University. Under standard academic fair use conventions, the scale items may be utilized, adapted, and replicated by academic scholars, university researchers, and postgraduate students for non-commercial educational and scientific research without formal written permission or payment of licensing fees, provided that appropriate scholarly attribution is cited.

For commercial usage—such as proprietary software integration, commercial market research platforms, corporate employee assessment systems, or commercial benchmarking platforms—practitioners should verify copyright guidelines with Elsevier or obtain formal permission through the Copyright Clearance Center (CCC). Researchers adapting the scale to non-financial contexts (e.g., healthcare, consulting, accounting) are encouraged to preserve the structural syntax of the items while adapting the occupational noun (e.g., substituting “financial advisor” with “physician,” “legal counsel,” or “consultant”).

12. References

• Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
• Auh, S., Bell, S. J., McLeod, C. S., & Shih, E. (2007). Co-production and customer loyalty in financial services. Journal of Retailing, 83(3), 359–370. https://doi.org/10.1016/j.jretai.2007.03.001
• Blau, P. M. (1964). Exchange and power in social life. John Wiley & Sons.
• Dwyer, F. R., Schurr, P. H., & Oh, S. (1987). Developing buyer-seller relationships. Journal of Marketing, 51(2), 11–27. https://doi.org/10.1177/002224298705100202
• 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
• Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Prentice Hall.
• 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
• Vargo, S. L., & Lusch, R. F. (2004). Evolving to a new dominant logic for marketing. Journal of Marketing, 68(1), 1–17. https://doi.org/10.1509/jmkg.68.1.1.24036

13. Items of the Scale