Artificial intelligence in marketing: A bibliographic perspective

Feng, Cai; Park, Andrew; Pitt, Leyland; Kietzmann, Jan; Northey, Gavin

doi:10.1016/j.ausmj.2020.07.006

Cited by 52 publications

(30 citation statements)

References 51 publications

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“…The potential breadth and depth are of such magnitude that it is hard to make sense of it all. Consequently, in an effort to organize and understand past research, Feng et al (2021) used the VOS Viewer data visualizer to determine the major authors in the field and to identify themes and concepts emanating from prior research.…”

Section: Ai Application In Marketingmentioning

confidence: 99%

Artificial Intelligence (AI): Revolutionizing Digital Marketing

Esch

Black²

2021

Australasian Marketing Journal

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Artificial intelligence (AI)-enabled digital marketing is revolutionizing the way organizations create content for campaigns, generate leads, reduce customer acquisition costs, manage customer experiences, market themselves to prospective employees, and convert their reachable consumer base via social media. Real-world examples of organizations who are using AI in digital marketing abound. For example, Red Balloon and Harley Davidson used AI to automate their digital advertising campaigns. However, we are early in the process of both the practical application of AI by firms broadly and by their marketing functions in particular. One could argue that we are even earlier in the research process of conceptualizing, theorizing, and researching the use and impact of AI. Importantly, as with most technologies of significant potential, the application of AI in marketing engenders not just practical considerations but ethical questions as well. The ability of AI to automate activities, that in the past people did, also raises the issue of whether marketing professionals will embrace AI as a means to free them from more mundane tasks to spend time on higher value activities, or will they view AI as a threat to their employment? Given the nascent nature of research on AI at this point, the full capabilities and limitations of AI in marketing are unknown. This special edition takes an important step in illuminating both what we know and what we yet need to research.

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Section: Ai Application In Marketingmentioning

confidence: 99%

Artificial Intelligence (AI): Revolutionizing Digital Marketing

Esch

Black²

2021

Australasian Marketing Journal

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“…As an antecedent to brand engagement (Hollebeek et al, 2014), customer experience has become a key strategic objective for many organizations (Bilgihan et al, 2016;Brodie et al, 2011;Chen et al, 2018;Johnston & Kong, 2011). In recent times, continuous technological developments, such as social media (Kietzmann et al, 2011), virtual or augmented reality (Farshid et al, 2018), artificial intelligence (AI) (Kietzmann et al, 2018;Mogaji et al, 2020;van Esch et al, 2019van Esch et al, , 2020, and robotics Feng et al, 2020;Huang & Rust, 2018), have been augmenting the capabilities of organizations to understand and transform customer experiences (Bolton et al, 2018;Breidbach et al, 2018;Van Doorn et al, 2017;Xu et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…In recent times, continuous technological developments, such as social media (Kietzmann et al, 2011), virtual or augmented reality (Farshid et al, 2018), artificial intelligence (AI) (Kietzmann et al, 2018; Mogaji et al, 2020; J. Paschen, Paschen, et al, 2020; van Esch et al, 2019, 2020), and robotics (Black & van Esch, 2020; Feng et al, 2020; Huang & Rust, 2018), have been augmenting the capabilities of organizations to understand and transform customer experiences (Bolton et al, 2018; Breidbach et al, 2018; Van Doorn et al, 2017; Xu et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Reading Between the Lines: Understanding Customer Experience With Disruptive Technology Through Online Reviews

Robertson

Ferreira

Paschen

2021

Australasian Marketing Journal

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A customer’s experience with a brand, as evidenced in online customer reviews, has attracted multidisciplinary scholarly attention. Customer experience plays an important role as an antecedent to brand engagement, brand adoption, and eventual brand loyalty. Thus, it is important for businesses to understand their customers’ experiences so that they can make changes as necessary. The COVID-19 pandemic has brought unprecedented changes to the business landscape, forcing businesses to move online, with many utilizing enterprise video conferencing (EVC) to maintain daily operations. To ensure efficient digitization, many turned to the online reviews of others’ experiences with EVC before engaging with it themselves. This research examined how the customer experience is portrayed through emotional tone and word choice in online reviews for the EVC platform Zoom. Using computerized text analysis, key differences were found in the emotional tone and word choice for low- and high-rated reviews. The complexity and emotionality expressed in reviews have implications on the usability of the review for others. The results from this study suggest that online customer reviews with a high rating express a higher level of expertise and confidence than low-rated reviews. Given the potential dissemination and impact, digital marketers may be well advised to first and foremost respond to online reviews that are high in emotional tone.

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“…The peer-reviewed marketing literature is herein represented by the marketing journals included in the 2018 version of CABS' Guide. The Guide was retained for three principal reasons: (1) It is one of the most widely used and internationally recognized journal quality lists (Feng et al, 2020); (2) it is way less elitist than the Financial Times' list of Top 50 management and business journals (FT50), which includes only six marketing journals (exclusively US-based journals), and (3) the Guide is less fatally flawed than the 2019 version of the ABDC's Journal Quality List. The latter contains not only predatory journals (e.g.…”

Section: The Citing Peer-reviewed Marketing Journalsmentioning

confidence: 99%

Contamination by citations: references to predatory journals in the peer-reviewed marketing literature

Moussa¹

2021

SAJM

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PurposePredatory publishing is a growing and global issue infecting all scientific domains. Predatory publishers create counterfeit, not (properly) peer-reviewed journals to exploit the open access (OA) model in which the author pays. The plethora of predatory marketing journals along with the sophisticated deceptive practices of their publishers may create total confusion. One of the many highly likely risks of that bewilderment is when peer-reviewed, prestigious marketing journals cite these pseudo-marketing journals. This phenomenon is called citation contamination. This study aims to investigate the extent of citation contamination in the peer-reviewed marketing literature.Design/methodology/approachUsing Google Scholar as a citation gathering tool, this study investigates references to four predatory marketing journals in 68 peer-reviewed marketing journals listed in the 2018 version of the Academic Journal Guide by the Chartered Association of Business Schools (CABSs).FindingsResults indicate that 59 of the 68 CABS-ranked peer-reviewed marketing journals were, up to late January 2021, contaminated by at least one of the four sampled predatory journals. Together, these four pseudo-journals received (at least) 605 citations. Findings from nonparametric statistical procedures show that citation contamination occurred irrespective of the age of a journal or its 2019 Journal Impact Factor (JIF). They also point out that citation contamination happened independently from the fact that a journal is recognized by Clarivate Analytics or not.Research limitations/implicationsThis study investigated citations to only four predatory marketing journals in only 68 CABS-listed peer-reviewed marketing journals.Practical implicationsThese findings should sound an alarm to the entire marketing community (including academics and practitioners). To counteract citation contamination, recommendations are provided for researchers, practitioners, journal editors and academic and professional associations.Originality/valueThis study is the first to offer a systematic assessment of references to predatory journals in the peer-reviewed marketing literature.

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Artificial intelligence in marketing: A bibliographic perspective

Cited by 52 publications

References 51 publications

Artificial Intelligence (AI): Revolutionizing Digital Marketing

Artificial Intelligence (AI): Revolutionizing Digital Marketing

Reading Between the Lines: Understanding Customer Experience With Disruptive Technology Through Online Reviews

Contamination by citations: references to predatory journals in the peer-reviewed marketing literature

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