Dr Christine Zhang

Senior Lecturer

Dr. Christine Zhang is a Senior Lecturer in Marketing and an academic researcher at Leeds Business School. She specialises in marketing communications, digital marketing and the application of artificial intelligence (AI) in marketing.

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Christine Zhang

About

Dr. Christine Zhang is a Senior Lecturer in Marketing and an academic researcher at Leeds Business School. She specialises in marketing communications, digital marketing and the application of artificial intelligence (AI) in marketing.

Dr Christine Zhang is a Senior Lecturer in Marketing at Leeds Business School, Leeds Beckett University. Her teaching, research and work with businesses focus on marketing communications, digital marketing, consumer behaviour and the application of artificial intelligence (AI) in marketing.

Christine teaches across undergraduate and postgraduate programmes, including Digital Marketing Planning, Digital Customer Journey, Strategic Brand Management, Web and Social Media Analytics, and Marketing Metrics. She supervises undergraduate and postgraduate dissertations, as well as PhD research in areas including influencer marketing, AI adoption in retail, digital marketing, fashion and crisis management.

Christine works closely with businesses through Knowledge Transfer Partnerships (KTPs). She has contributed to successful KTP bids, helping to secure funding for projects that support business innovation, digital transformation and AI adoption. Her involvement spans bid development, project planning and academic supervision.

Alongside her teaching and business engagement, Christine serves as Chief External Examiner at Coventry University. She is also the Local Research Ethics Coordinator for the Marketing subject group at Leeds Beckett University, supporting colleagues and students in conducting ethical research.

Christine co-developed a marketing module for the Small Business Leadership Programme (SBLP), supporting small and medium-sized enterprises in building resilience, recovering from the impact of COVID-19 and planning for future growth. She also delivers the Marketing Strategy module for the Help to Grow Programme, helping business leaders develop effective marketing strategies. In addition, she serves as an entrepreneurship mentor for CEKE’s Business Lab.

Research interests

Christine's research interests cover consumer behaviour, cause-related marketing, digital marketing and AI-adoption in retailing. She is currently undertaking research on influencer marketing, compensatory consumption, and consumer perceptions of AI chatbots. Christine is a dedicated educator. She serves as Local Research Ethics Coordinator, academic advisor and module leader for undergraduate and postgraduate modules.

PhD studies that Christine is involved in:

  • Social Media Influencers and Consumer-Brand Engagement
  • AI-adoption in Retail Management
  • Fashion and Crisis Management

Publications (2)

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Journal article
To download or not to download the app: app incentives and behavioural outcomes
Featured 25 April 2025 Journal of Strategic Marketingahead-of-print(ahead-of-print):1-19 Taylor and Francis Group

This study investigates the effects of immediate and delayed financial incentives on the probability of users downloading a mobile shopping application (app) and the moderating effects of app confidence and app usage. The study uses an online experiment with 264 participants. Findings suggest that both immediate and delayed financial incentives (discount; double point rewards) result in a higher probability of app download compared to non-financial incentives (i.e. personalised experience). However, there is no significant difference between the immediate and delayed rewards. The study also found that the effects of the financial incentives are reduced for higher-app-usage respondents, and perceived app confidence has a negative effect on the probability of downloading the app, which challenges the existing understanding of self-efficacy effects on app adoption. The study advances conceptual understanding of users’ motivation in technology adoption and informs strategic marketing decisions in targeting users with different motivation needs.

Thesis or dissertation
Enhancing the Electronic Service Quality Model by Incorporating Digital Touchpoints: a Comparative Study of Two Telecom Companies in Ghana
Featured 12 October 2025
AuthorsAuthors: Adu MO, Editors: Shaw A, Zhang C, Richardson N, Ding QS

Service quality (SQ) and customer experience (CX) have become critical indicators of the success of a business in today’s competitive environment. The rapid advancement of technology has fundamentally transformed customer interactions, particularly within the telecommunications sector. Service quality impacts customer experience, especially in digital service interactions and service delivery. High-quality service in digital environments leads to positive customer perceptions, satisfaction and loyalty and is the foundation of a good customer experience in digital touchpoints. The more seamless, reliable, efficient, and personalised the service, the better the customer experience Purpose - This research examines the impact of digital touchpoints on electronic service quality (ESQ) and customer experience (CX) within Ghana's telecommunications sector. With service quality and digital interactions becoming critical determinants of customer satisfaction and loyalty, the study explores the limitations of the traditional SERVQUAL model in capturing the nuances of digital service encounters. The aim is to enhance the SERVQUAL model by integrating digital touchpoints and digital-specific constructs, such as trust and perceived value, which reflect the realities of modern service delivery. The objectives of this research are threefold: (1) to examine the effectiveness of digital touchpoints such as websites, mobile applications, and social media in delivering quality service experiences; (2) to assess customer and provider perspectives on digital service delivery using SERVQUAL dimensions refined for digital contexts; and (3) to compare the service offerings and performance of the two leading telecom providers, MTN Ghana and Vodafone Ghana, in managing digital customer interactions. Methodology - A mixed-methods research strategy underpins this study, guided by a pragmatic paradigm. Qualitative data were collected through six semi-structured interviews, three from each company, comprising CX experts and digital service staff. Quantitative data were obtained from 400 customer responses to an online survey distributed across the two companies. NVivo was used for thematic analysis of qualitative data, while Partial Least Squares Structural Equation Modelling (PLS-SEM) via SmartPLS was applied to test the measurement and structural models from the quantitative data. Findings - The findings reveal that digital touchpoints significantly influence customer perceptions of service quality, particularly in areas such as responsiveness, reliability, personalisation, and ease of use. Trust and perceived value also emerged as strong predictors of customer satisfaction and loyalty in digital environments. Furthermore, the study highlights the need for an integrated omnichannel strategy that blends traditional and digital service quality dimensions to optimise the overall customer journey. Originality - This research not only refines the SERVQUAL model for digital applications but also provides practical recommendations for MTN and Vodafone Ghana. It contributes to the empirical literature on ESQ, digital touchpoints, and omnichannel customer experience, offering strategic insights into how telecom providers can enhance service quality, customer engagement, satisfaction, and loyalty in a rapidly evolving digital landscape.

Current teaching

Modules that Christine has taught:

  • Digital Marketing Planning (H5)
  • Digital Customer Journey (H7)
  • Marketing Dynamics (H7)
  • Marketing Metrics (H7)

 

Grants (1)

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Knowledge Transfer Partnership grant

Arville Textiles Limited

UK Research and Innovation - 01 September 2026
This Knowledge Transfer Partnership (KTP) will design and implement a commercial and operational data decision framework to transform Arville from a reactive, sales-led organisation into an insight-driven business. By integrating commercial strategy with operational performance data, the project will enable structured, data-led decision-making and support sustainable, profitable growth. The project has four interconnected strands. First, a strategic marketing framework will shift the business from volume-driven sales to margin-led growth by rationalising the product portfolio and aligning sales, marketing and operations. Second, a unified Commercial Data Decisioning Framework will consolidate fragmented data into a single source of truth, providing consistent insights across customers, products and brands. Third, an Operational Transformation Strategy will embed analytical capability to improve efficiency and reveal true cost-to-serve, ensuring operational insight informs strategic decisions. Finally, a structured change management programme will drive adoption, embedding new ways of working through communication, training and engagement. The innovation lies in this integrated approach: linking strategy to operations, turning data into actionable insight, and enabling proactive decision-making. Embedding lasting change, ensuring new ways of working continue beyond the project, build a more resilient, confident organisation with clear strategic direction and enhanced capability for long-term growth.
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