Table 5.
From customer journey to competitive advantage
| Established theoretical approaches | Priority future research themes and examples of research questions | ||
|---|---|---|---|
| ‘Blurring’ of the delineation between the firm and the customer | Value creation and co-creation |
• Dynamic Business Capabilities (DBC) theory (Wheeler 2002) • Channel expansion theory (Carlson and Zmud 1999) • Perceived value and customer satisfaction (Lin and Wang 2006). |
Priority future research themes: • Frameworks of value creation, value fusion and value co-creation (including SDL) for apps and via apps. • Theoretical and empirical advancements clarifying how apps create value for stakeholders. • The elements of the appscape for different types of apps (conceptual research). • Co-created apps—clarifying what they are and the key success factors (conceptual research). • Value creation and co-creation resulting from apps’ technological advancements and anthropomorphic cues. • AR/VR/AI-enabled apps’ impact on value perceptions and consumer behaviour. Examples of research questions: - How do apps facilitate value creation and co-creation? How does the process differ from dissimilar types of apps and/or different consumers? - What are the mechanisms via which co-created apps generate value for consumers and stakeholders? - What are the key elements of the appscape? - What are the underlying processes and the key factors that either motivate or deter consumers from (re)using apps involving advanced technologies such as AI, AR or VR? |
| Technological advancements |
• Diffusion of innovation (Rogers 1995) • Automation in retail (Rust and Huang 2014) • Uses and Gratification (U&G) theory (Mcguire 1974, Eighmey and McCord 1998) • Technology Continuance Theory (TCT) (Liao et al. 2009) |
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| Digital customer orientation | Hyper-contextualised consumer insights (including personalization and segmentation) |
• CRM principles (Chen and Popovich 2003) • Customer journey (Lemon and Verhoef 2016) • The theory of buyer behaviour (Howard and Sheth 1969) • The Attention–Interest–Desire–Action (AIDA) model (Lavidge and Steiner 1961) • Recency, Frequency, Monetary (RFM) approach (Hughes 1996) • User-centric service map and user-value analysis (Kim, Lee and Park 2016). |
Priority future research themes: • Strategic relevance of consumer insights generated via apps vs. other digital hubs such as web-analytics and social media • Strategic implications of personalizing apps. • App usage data and customer hyper-context information to be used to design marketing strategies and targeted campaigns. • Behavioral and intent-based segmentation via apps (links with the purchase funnel). • Distinct offline (brick and mortar) customer segments and correspondence with app usage. Examples of research questions: - How do consumer insights gathered through apps compare to web analytics and social media analytics? - What are the implications for ongoing, sustainable collection and use of consumer insights through apps? Do these implications change according to different types of apps? - What are the most effective strategies for personalizing the offer to the consumer via apps? - What types of apps result in greater potential for personalization and for which consumers? - What other segmentation approaches can be utilized to successfully segment users of apps? - Are different consumer segments identifiable in offline and other online contexts applicable to apps? |
| Market intelligence |
Research considering market performance and competition: • Audience concentration (Jung et al. 2014). • Media concentration (Lee and Raghu 2014). |
Priority future research themes: • Understanding competitive dynamics for apps beyond the app store context. • Identifying and comparing different categories (e.g., markets and sub-markets) of apps, and clarifying how apps compete outside of the app store. • Seller- and app-level characteristics that impact success in the app store and beyond. Examples of research questions: - How can we effectively measure the market performance of apps, beyond sales ranks and customer ratings returned by app stores? - How can we better understand competition within apps’ markets? Are there any key regularities and patterns worth knowing and that can be predicted? - What are the key strategies for market survival that apps can embrace? Do these aspects change for different categories of apps? |
|
| Market orientation | Inter-functional coordination | None available. |
Priority future research themes: • Factors facilitating vs. inhibiting the dissemination of hyper-contextualized consumer insights and market intelligence gathered through apps across the organization and outside of the marketing function. • Organizational behaviors and market-orientated behaviors linked to apps’ deployment as a marketing tool. • Strategic implementation of hyper-contextualized consumer insights and market intelligence gathered through apps. • Organizational responsiveness and market dynamism resulting from hyper-contextualized consumer insights and market intelligence gathered through apps and shared across the organization and outside of the marketing function. • Apps impact of business growth for different types of organization (e.g., SMEs vs. larger firms). Examples of research questions: - Which key market-orientated behaviors that can underpin the successful use of apps as marketing tool and tactic? - Do different managerial approaches and different levels of the managers’ digital marketing knowledge have a strong bearing on the successful use of apps as marketing tool? - What are the implications of market dynamism for the successful use of apps as a marketing tool? - In which industries are apps most relevant for gaining a competitive edge? - What is the impact of apps on business growth, especially for SMEs? |
| Strategic implementation | None available. | ||