Research-inspired editorial · 2026-11-10

Personality, Journey Design, and Omnichannel Trust in Value Co-Creation

Author: WEBU

The contemporary digital market continuously seeks answers regarding what precisely motivates customers to actively engage and co-create value. A new academic paper sheds light on the connection between individual psychological attributes and structured service architectures within omnichannel settings. In this article, we examine what authors Karmila Jayanti, Kurniawati Kurniawati, and Sri Vandayuli Riorini present and how these insights can be applied in WEBU practice.

Introduction

Digital commerce and e-commerce face a persistent challenge regarding empirical fragmentation in omnichannel literature and the search for effective customer behavior models. Many companies strive to understand why some customers merely shop passively while others actively engage in creating value for the brand. Addressing this issue requires a deeper look into psychological attributes and the architectural setup of shopping channels.

Authors Karmila Jayanti, Kurniawati Kurniawati, and Sri Vandayuli Riorini published a study in Jurnal Ilmiah Accusi dated 2026-11-10, addressing this exact topic. The DOI for this source is 10.36985/hap8xf90. Their research focuses on modeling how individual characteristics and service flows drive collaborative customer behaviors within emerging e-commerce markets.

The objective of this WEBU editorial piece is to critically evaluate the available information from the provided abstract. We will discuss what the study examined, what main conclusions it offers, its methodological limitations, and what implications arise for website operators and small businesses.

What the study examined

According to the abstract, the study examined how personality traits and customer journey design influence value co-creation behavior. The researchers tracked whether these factors directly shape customer engagement through two key mediating variables. These mediating variables are omnichannel trust and overall omnichannel customer experience.

In addition to direct and mediated impacts, the paper also looked at potential moderating factors. According to the abstract, the authors tested whether digital proficiency and channel preference exhibit significant moderating roles within the overall relationship. They thus incorporated psychological readiness and technical preferences of the target group into the investigation.

It is important to note that the entire study worked with explicitly defined sampling and stemmed from a specific geographic and demographic context. The abstract does not describe every single detail of data collection beyond basic statistical values, making it necessary to view the findings within the limits of the provided text.

Findings and interpretation

According to the abstract, the findings demonstrate that seamless journey designs and adaptive personality traits significantly elevate both customer trust and experiential quality. These two elements—trust and experience—subsequently directly propel customer participation in value co-creation. The model thus bridges micro-level individual traits and macro-level service architectures.

An interesting result reported in the abstract is the absence of significant moderating effects. Neither digital proficiency nor channel preferences exhibited significant moderating impacts on the observed relationships. This moment surprisingly suggests that emphasizing universal service fluency may be more important than tailoring to individual user digital skills.

From a statistical standpoint, the model possesses moderate explanatory power according to the abstract. This is expressed by coefficient of determination values, with R² reaching 0.533 for customer experience, 0.501 for trust, and 0.359 for value co-creation behavior. Theoretically, the study thereby extends Service-Dominant Logic and Trust Theory.

Methodology and limitations

According to the abstract, the methodology was built on structural equation modeling, specifically SEM-PLS executed via SmartPLS 4 software. This analytical approach is suitable for testing complex models with multiple mediating variables, enabling the authors to track relationships between psychological attributes and structural service flows.

Data collection was conducted through survey responses gathered from 300 active Indonesian omnichannel shoppers. The researchers utilized purposive sampling. However, this type of sampling introduces certain limitations regarding the overall generalization of conclusions to other geographic and cultural regions.

A critical limitation in our evaluation is the fact that we are working solely with the publisher-supplied abstract, which has not been verified against the complete full-text article. We lack detailed question wording, full demographic descriptions, and control over other potential biases. Therefore, findings cannot be generalized to other populations without further verification.

WEBU practical proposal

Based on the reviewed abstract, we offer editorial recommendations for website operators, small businesses, and marketing creators. E-commerce executives should, according to the implications, emphasize friction-free cross-channel integration and transparent system reliability. Rather than overly tailoring to specific user digital capabilities, it is more effective to build a simple, intuitive, and error-free environment.

For small businesses and web design creators, this means investing in a clean customer journey (UX) design that removes friction when transitioning between mobile devices, desktops, or physical stores. Customers must not experience barriers when searching for information or completing purchases, because fluency directly builds trust and opens space for active participation.

In the areas of marketing and workplace management, we recommend reassessing strategies. Instead of segmenting audiences solely based on technological proficiency, teams should build a consistent environment that inspires trust through clear processes, rules, and responsive support. Transparency and system predictability act as a universal glue for building value with the customer.

Conclusion

The study by Karmila Jayanti, Kurniawati Kurniawati, and Sri Vandayuli Riorini provides valuable insights into how personality traits and journey design affect omnichannel behavior. According to the abstract, it was confirmed that the keys to value co-creation are primarily the mediating variables of trust and quality customer experience. These findings enrich academic debate in the fields of e-commerce and services.

At the same time, it is necessary to consider the methodological boundaries of the work and limitations arising from the availability of only a secondary source. Because the research took place on a sample of 300 Indonesian shoppers, its conclusions serve primarily as an inspirational theoretical framework. Every organization should approach the implementation of these principles carefully and with regard to its own target audience.

We welcome further research in this area and trust that WEBU editorial recommendations will help improve your digital projects. By tracking key trust metrics and removing barriers along the customer journey, you can create a sustainable environment for long-term success.

Scientific sources

Karmila Jayanti, Kurniawati Kurniawati, Sri Vandayuli Riorini (2026). The Role of Personality Traits, Customer Journey Design, Omnichannel Trust, and Omnichannel Customer Experience in Shaping Value Co-Creation Behavior. Jurnal Ilmiah Accusi. https://doi.org/10.36985/hap8xf90 https://doi.org/10.36985/hap8xf90