Cross-Channel Integration and Consumer Retention–Model Inventory

Abstract

The Cross-Channel Integration and Consumer Retention Model (Mishra et al., 2023) was meticulously developed to explore the causal mechanisms by which seamless integration of physical and digital retail channels—a hallmark of modern omnichannel retailing—positively influences long-term consumer retention. The research specifically investigates the consumer’s holistic shopping journey within the contemporary retail sector, focusing on the blended nature of the phygital experience.

The theoretical underpinning of this model relies on the venerable Stimulus-Organism-Response (S-O-R) framework. According to this structure, cross-channel integration acts as the external stimulus, triggering internal consumer states (the organism) such as elevated feelings of consumer empowerment and consumer satisfaction. These affective and cognitive responses then stimulate the final behavioral outcome (the response), resulting in higher rates of retention. The study also uniquely examines the detrimental impact of retailer unreliability on the overall phygital experience. The inventory comprises items adapted from foundational works by Li et al. (2018) and Zhang et al. (2018), and its psychometric properties were established using a robust sample of adult consumers.

Keywords

Cross-Channel Integration, Consumer Retention, Consumer Empowerment, Consumer Satisfaction, Retailer Unreliability, Phygital Experience, Stimulus-Organism-Response Model Framework, Omnichannel Retailing, Structural Equation Modeling

Authors

Mishra, Sita; Malhotra, Gunjan; Chatterjee, Ravi; Shukla, Yupal

Purpose

The primary purpose of this measurement model is to provide a comprehensive and psychometrically sound tool for assessing the key factors that drive consumer behavior in technologically advanced retail environments. It is specifically designed for use within the retail sector characterized by phygital settings, where physical and digital interactions must be seamlessly managed.

The inventory allows researchers and marketing strategists to quantitatively assess the determinants of positive consumer outcomes. It is engineered to measure how successful cross-channel integration translates into mediating psychological variables—namely, consumer empowerment and consumer satisfaction—which are crucial precursors to achieving sustainable consumer retention.

Construct

The Cross-Channel Integration and Consumer Retention Model measures five distinct, yet theoretically linked, psychological and behavioral constructs. The inventory is structured based on the S-O-R paradigm, mapping external environmental factors and internal consumer responses to retention behavior.

The five core constructs measured by the inventory are:

• Cross-Channel Integration (CCI): Focuses on the retailer’s ability to unify digital touchpoints (e.g., website, app) with physical locations, including integrated inventory checks, cross-channel returns, and unified purchase history access.

• Consumer Empowerment (CE): Measures the consumer’s perception of control and access to relevant information, allowing them to make informed decisions and feel valued by the retailer.

• Consumer Satisfaction (CS): Reflects the overall positive evaluation and affective response regarding the quality of the shopping experience and the services provided by the retailer.

• Customer Retention (CR): Assesses the consumer’s loyalty, commitment, and willingness to continuously purchase from the specific retailer despite alternative options.

• Retailer Unreliability (RU): Captures the consumer’s doubt, uncertainty, and lack of trust concerning the retailer’s truthfulness, product representation, and ability to fulfill promises.

Validity

The study established both convergent and discriminant validity, confirming the robustness and specificity of the measurement model. For convergent validity, the Average Variance Extracted (AVE) scores for all constructs were strong, ranging from 0.536 to 0.609. These values significantly exceed the recommended threshold of 0.50, as suggested by Fornell & Larcker (1981), indicating that the scale items adequately converge onto their respective latent constructs.

In terms of discriminant validity, the analysis confirmed that each construct was empirically distinct. This was demonstrated by ensuring that the square root of the AVE for every construct was greater than its correlation with any other construct in the model. Furthermore, initial Confirmatory Factor Analysis (CFA) provided evidence of an adequate fit between the empirical data and the proposed theoretical structure, further supporting the validity of the scales.

Reliability

The internal consistency and dependability of the scales were rigorously assessed, yielding highly satisfactory reliability estimates. The reliability analysis utilized both Cronbach’s alpha and Composite Reliability (CR).

The Cronbach’s alpha coefficients for the constructs ranged from 0.791 to 0.869, consistently surpassing the conventional threshold of 0.70 (Hair et al., 2010). Similarly, the composite reliability estimates confirmed strong internal consistency, ranging from 0.748 to 0.886, all exceeding the 0.70 benchmark. These results affirm that the items within each scale consistently measure the underlying construct.

Factor Analysis

The factor structure of the inventory was examined using both exploratory and confirmatory methods to ensure structural integrity and freedom from systematic error. To address potential Common Method Bias (CMB), Harman’s single-factor test was employed. The test indicated that the largest factor accounted for only 29.68% of the total variance, strongly suggesting the absence of significant CMB within the dataset.

A subsequent Confirmatory Factor Analysis (CFA) was performed to verify the fit of the hypothesized five-factor structure. The CFA reported robust fit indices, confirming an adequate fit between the observed data and the measurement model: Normed χ2 = 2.612, CFI = 0.907, IFI = 0.914, TLI = 0.911, and RMSEA = 0.068. These values indicate a good model fit, validating the distinct nature of the five underlying constructs.

Instrument

Test Type: Original Inventory/Questionnaire

Format: Items are measured using a seven-point Likert scale, ranging from 1 (strongly disagree) to 7 (strongly agree).

Language Available: English

Population Group: Human; Male; Female

Age Group: Adulthood (18 years & older), including Young Adulthood (18-29 years), Thirties (30-39 years), and Middle Age (40-64 years).

Population Details: Respondents are consumers from India.

Test Methodology: Test Validity, Convergent Validity, Discriminant Validity, Test Reliability, Internal Consistency, Factor Analysis, Confirmatory Factor Analysis, Measurement Model, Structural Equation Modeling.

Keywords

Cross-Channel Integration, Consumer Empowerment, Consumer Satisfaction, Customer Retention, Retailer Unreliability, Phygital Experience, Structural Equation Modeling, Measurement Model, Psychometrics

Authors

The following details pertain to the authors of the Cross-Channel Integration and Consumer Retention Model:

• Mishra, Sita

  • Author ORCID Identifier: http://orcid.org/0000-0002-6323-5881

  • Affiliation: Institute of Management Technology Ghaziabad, Marketing

• Malhotra, Gunjan

  • Affiliation: Institute of Management Technology Ghaziabad, Operations

  • Email address: [email protected]

  • Correspondence Address: [email protected]

• Chatterjee, Ravi

  • Author ORCID Identifier: http://orcid.org/0000-0002-3746-2087

  • Affiliation: Institute of Management Technology Dubai

• Shukla, Yupal

  • Affiliation: University of Bologna, Department of Management

Permissions & Fee and Test Year

Permissions: Contact Publisher

Fee: No

Test Year: 2023

Reference’s

Mishra, S., Malhotra, G., Chatterjee, R., & Shukla, Y. (2023). Consumer retention through phygital experience in omnichannel retailing: Role of consumer empowerment and satisfaction. Journal of Strategic Marketing, 31(4), 749–766. https://doi.org/10.1080/0965254X.2021.1985594

Li, Y., Tang, Y., Wu, H., & Kim, Y. J. (2018). Impact of cross-channel experience on consumer retention: A study of consumers’ behavior in the retail industry. Journal of Business Research, 87, 174–182.

Zhang, X., Zhang, Y., & Chen, H. (2018). A study on the factors influencing consumer satisfaction and retention in omnichannel retailing. Journal of Retailing and Consumer Services, 42, 169–177.

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Pearson Prentice Hall.

Items of the Cross-Channel Integration and Consumer Retention–Model Inventory

IMPORTANT: The following scale items must be preserved in their original language and must not be changed in any way. This measure originally included 31 items across five constructs. Note that items marked with an asterisk (*) were deleted due to poor fit indices during validation.

The specific items are available in the source reference: 2021-91438-001, Table 2, Page 756.

Cross-Channel Integration (CCI)

• CCI1: The Website highlights in-store promotions that are taking place in the physical store.

• CCI2: The Website advertises the physical store by providing the address and contact information of the physical store.

• CCI3: The Website allows customers to search for products available in the physical store.

• CCI4: The firm allows checking of inventory status at the physical store through the Website.

• CCI6: The firm allows customers to choose any physical store from which to pick up their online purchases.

• CCI7: The firm maintains integrated purchase history of customers’ online and offline purchases.

• CCI8: The firm allows customers to access their prior integrated purchase history.

• CCI9: The in-store customer service centre accepts return, repair or exchange of products purchased online.

• CCI10: The Website provides post-purchase services such as support for products purchased at physical stores.

Consumer Empowerment (CE)

• CE1: Talking to the salespersons and/or visiting the website of the retailer helps me compare the price and quality of the items of the store with other competitors.

• CE2: Through various social media, the retailer provides me with an opportunity to learn about the experiences/choices of other consumers.

• CE3: Through emails, SMSs, in store promotions and POS communication systems, the retailer provides relevant information on items, brands and their usage.*

• CE4: I feel great if my feedback and preferred choice set is included in the retailer’s future collection.

• CE5: For me, the larger the choice set, the higher is the shopping satisfaction.

Consumer Satisfaction (CS)

• CS1: In general, I was happy with the shopping experience.

• CS2: In general, I was pleased with the quality of the service this retailer provided.

• CS3: In general, my choice to purchase from this retailer was a wise one.

Customer Retention (CR)

• CR1: I feel loyalty toward this retailer.

• CR2: Even if this retailer was difficult to reach, I would still keep buying there.

• CR3: I am very committed to this retailer.

• CR4: I am willing to make an effort to shop at this retailer.

• CR5: I do most of my shopping at this retailer.

• CR6: I care a lot about this retailer from which I frequently purchase.

Retailer Unreliability (RU)

• RU1: I am doubtful that this retailer has accurately portrayed his or her true characteristics.

• RU2: I am uncertain that this retailer has truthfully described his or her selling practices.

• RU3: I feel that this retailer may have misrepresented the product in his or her website description.

• RU4: I am uncertain that this retailer has fully disclosed all product defects.*

• RU5: I am doubtful that this retailer will deliver the product as promised in a timely manner.

• RU6: I am concerned that this retailer may back out on our agreement.

• RU7: I am afraid that this retailer may attempt to defraud me.

• RU9: I feel that dealing with this retailer involves a high degree of uncertainty about the retailer’s quality.

Note. Items are measured using a seven-point Likert scale ranging from 1 (strongly disagree) to 7 (strongly agree).