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Large-scale text-based data increasingly poses methodological challenges due to its size, scope and nature, requiring sophisticated methods for managing, visualizing, analyzing and interpreting such data. This paper aims to propose semantic network analysis (SemNA) as one possible solution to these challenges, showcasing its potential for consumer and marketing researchers through three application areas in phygital contexts.

This paper outlines three general application areas for SemNA in phygital contexts and presents specific use cases, data collection methodologies, analyses, findings and discussions for each application area.

The paper uncovers three application areas and use cases where SemNA holds promise for providing valuable insights and driving further adoption of the method: (1) Investigating phygital experiences and consumption phenomena; (2) Exploring phygital consumer and market discourse, trends and practices; and (3) Capturing phygital social constructs.

The limitations section highlights the specific challenges of the qualitative, interpretivist approach to SemNA, along with general methodological constraints.

Practical implications highlight SemNA as a pragmatic tool for managers to analyze and visualize company-/brand-related data, supporting strategic decision-making in physical, digital and phygital spaces.

This paper contributes to the expanding body of computational, tool-based methods by providing an overview of application areas for the qualitative, interpretivist approach to SemNA in consumer and marketing research. It emphasizes the diversity of research contexts and data, where the boundaries between physical and digital spaces have become increasingly intertwined with physical and digital elements closely integrated – a phenomenon known as phygital.

Brands are relevant to multiple stakeholders and, as such, can have multiple meanings. Drawing on branding and stakeholder marketing theory, the purpose of this study was to provide in-depth insights into knowledge dynamics related to the so-called family business brand across different stakeholder perspectives.

This study combines advanced brand concept mapping (BCM) with a scenario technique to graphically capture consumers’ and jobseekers’ brand knowledge related to the family business concept in the form of association networks.

Findings show both a shared core meaning (e.g. associations such as “tradition” or “owner-managed”) and stakeholder-specific associations (e.g. consumer perspective: “high product quality,” “handmade”; jobseeker perspective: “appreciation within the company,” “outdated”). Significantly, the results reveal detailed insights into cross-stakeholder knowledge dynamics regarding the associations’ interconnections, strength and favorability.

By combining BCM with a scenario technique, this study adopts an approach that is aimed at better understanding and comparing brand knowledge with respect to the family business brand across multiple stakeholder perspectives. Given the prevalence of family businesses, this research enhances the theoretical and practical understanding of a branding resource that is often available but rarely exploited.