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    Article

    A theoretical framework to guide AI ethical decision making

    Artificial Intelligence (AI) ethics is needed to address the risks that are outpacing efforts to protect consumers and society. AI is becoming human-competitive with the ability to perform tasks, that without ...

    O. C. Ferrell, Dana E. Harrison, Linda K. Ferrell, Haya Ajjan in AMS Review (2024)

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    Chapter and Conference Paper

    Understanding Customer Spending Behavior during COVID-19 Using Real-time Anonymized Data from Private Companies: An Abstract

    The COVID-19 pandemic has significantly disrupted the global economy at an unprecedented scale since its start in early 2020. Furthermore, it is estimated that a third of the workforce in the U.S. changed to w...

    Dana E. Harrison, Haya Ajjan, Lucy Matthews in Celebrating the Past and Future of Marketi… (2022)

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    Chapter and Conference Paper

    The Essentials of Marketing Analytics: Teaching, Research and Practice—An Abstract

    Marketing analytics encompasses data, statistics, mathematics and technology. In combination, these components facilitate decision making. We are witnessing companies across industries adopt marketing analytic...

    Dana E. Harrison, Haya Ajjan, Joe F. Hair Jr in From Micro to Macro: Dealing with Uncertai… (2022)

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    Chapter and Conference Paper

    Humanizing the Terminator: Artificial Intelligence Trends in the Customer Journey: An Abstract

    Current use of artificial intelligence (AI) in marketing is to assist and empower consumers or a human workforce. While AI is not yet replacing humans (Chen et al. 2019; Davenport et al. 2020), it is transform...

    Melanie B. Richards, Dana E. Harrison in Celebrating the Past and Future of Marketi… (2022)

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    Chapter and Conference Paper

    Special Session: Blockchain Technology and How It Will Change Marketing: An Abstract

    Blockchain was first described in 1991 by Stuart Haber and Scott Stornetta as a methodology to timestamp documents and became popular with the introduction of cryptocurrency in 2008. A blockchain can be both p...

    Haya Ajjan, Dana E. Harrison, Joe Green in Marketing Opportunities and Challenges in … (2020)

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    Chapter and Conference Paper

    Making Sense of Online Reviews: A Machine Learning Approach: An Abstract

    It is estimated that 80% of companies’ data is unstructured. Unstructured data, or data that is not predefined by numerical values, continues to grow at a rapid pace. Images, text, videos and voice are all exa...

    Dana E. Harrison, Haya Ajjan in Enlightened Marketing in Challenging Times (2020)

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    Article

    Customer relationship management technology: bridging the gap between marketing education and practice

    The recent machine learning and analytics advances in customer relationship management (CRM) technologies place new demands on marketing education and practitioners to develop the skills needed to use the tech...

    Dana E. Harrison, Haya Ajjan in Journal of Marketing Analytics (2019)

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    Chapter

    Mentoring: Eyes to See, Ears to Hear, and a Heart to Give

    The perfect mentor has been described as possessing the following characteristics: “wisdom, success, influential leadership, technical expertise, time for others, kind and able to manage their own life such th...

    Dana E. Harrison in The Great Facilitator (2019)

  9. Chapter and Conference Paper

    Exploring the Role of Technology in Promoting CRM Capabilities in Direct Selling Marketing Channels: An Abstract

    Technology has been serving as a catalyst to support company growth and performance over the last 20 years. Through the increasing acceptance of digital platforms, society has witnessed the transformation of h...

    Haya Ajjan, Dana E. Harrison, Joe F. Hair in Boundary Blurred: A Seamless Customer Expe… (2018)