Patrick van Esch
Auckland University of Technology
AdvertisingProduct (category theory)SociologyBusinessPsychologyIdeologyMarketingPolitical sciencePerceptionHuman capitalPleasureSocial marketingService (business)Marketing communicationPractical implicationsPublic relationsProcess (engineering)Mass mediaKnowledge managementSocial psychologyPolitics
51Publications
11H-index
371Citations
Publications 48
Newest
#1J. Stewart Black (Ad: INSEAD)H-Index: 37
#2Patrick van Esch (AUT: Auckland University of Technology)H-Index: 11
Abstract A large body of research has well established that changes in net balances between labor supply and demand can drive competition for human capital. We propose that AI-enabled recruiting tools constitute a force that will intensify the war for talent above and beyond episodic changes in net balances. We also propose that three seismic shifts will further intensify the war for talent by increasing the value of human capital and lowering its switching costs. Lastly, we bridge human resourc...
1 CitationsSource
#1Patrick van Esch (AUT: Auckland University of Technology)H-Index: 11
#1van Esch (AUT: Auckland University of Technology)
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We investigate the interactive effect of donors’ self-construal and frame of a persuasive message (emphasizing statistical or identifiable victims affected by COVID-19) on donation intent. Three st...
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#1Patrick van Esch (AUT: Auckland University of Technology)H-Index: 11
#2J. Stewart Black (Ad: INSEAD)H-Index: 37
Last. Denni Arli (UMN: University of Minnesota)H-Index: 18
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Organizations are increasingly using AI-enabled technology and tools in their recruiting processes. However, little is known about how job candidates view AI-enabled job application systems and whether those views influence the likelihood that they will apply for jobs in such cases. Our research finds that attitudes toward AI use in the job application process in general, and attitudes toward organizations that use AI in the job application process in particular, are strongly related to the inte...
1 CitationsSource
#1Sommer Kapitan (AUT: Auckland University of Technology)H-Index: 9
#2Patrick van Esch (AUT: Auckland University of Technology)H-Index: 11
Last. Jan Kietzmann (UVic: University of Victoria)H-Index: 27
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Across four studies, over 1,100 participants, and two product categories, we examine the impact of endorser type (celebrity vs. influencer) on consumers’ willingness to pay for an endorsed product ...
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#1Patrick van Esch (AUT: Auckland University of Technology)H-Index: 11
#2Yuanyuan (Gina) Cui (AUT: Auckland University of Technology)H-Index: 4
Last. Shailendra Pratap Jain (UW: University of Washington)H-Index: 14
view all 3 authors...
1 CitationsSource
#1Negin Ahmadi Saber Doust (AUT: Auckland University of Technology)
#2Patrick van Esch (AUT: Auckland University of Technology)H-Index: 11
Last. Shane Casserly (TE Connectivity)
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Abstract High contact sports have gained popularity among consumers, who often seek thrills and the feeling of invincibility by risking their well-being. One major health risk associated with these sports is head injuries, including trauma, concussion, and sleep disruption. In this research, we investigate the effect of consumers’ product choice difficulty on their health risk assessments. We illustrate a novel mediating route by documenting how and when choice maximization can help consumers ma...
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#1Patrick van Esch (AUT: Auckland University of Technology)H-Index: 11
#2Yuanyuan (Gina) Cui (AUT: Auckland University of Technology)H-Index: 4
Last. Shailendra Pratap Jain (UW: University of Washington)H-Index: 14
view all 3 authors...
Abstract We investigate COVID-19 related consumers’ donation intent predicated on their political ideology and the message frame - one emphasising the statistical number of affected victims, and the other focusing on a specifically identified victim. Across three studies, we find that the impact of the message frame depends on consumers’ political ideology. Politically conservative consumers respond to the identifiable victim (vs. statistical victims) frame more favorably while politically liber...
3 CitationsSource
#1Patrick van Esch (AUT: Auckland University of Technology)H-Index: 11
#2Yuanyuan (Gina) Cui (AUT: Auckland University of Technology)H-Index: 4
Last. Shailendra Pratap Jain (UW: University of Washington)H-Index: 14
view all 3 authors...
Artificial intelligence (AI) has penetrated the marketing landscape and is having a profound impact on businesses’ communication strategies. With AI coming under the spotlight, we know surprisingly...
6 CitationsSource
#1Yingzi Xu (AUT: Auckland University of Technology)H-Index: 10
#1Yingzi Xu (AUT: Auckland University of Technology)H-Index: 2
Last. I-Ling Ling (KMU: Kaohsiung Medical University)H-Index: 1
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Abstract Artificial intelligence (AI) in the context of customer service, we define as a technology-enabled system for evaluating real-time service scenarios using data collected from digital and/or physical sources in order to provide personalised recommendations, alternatives, and solutions to customers’ enquiries or problems, even very complex ones. We examined, in a banking services context, whether consumers preferred AI or Human online customer service applications using an experimental de...
16 CitationsSource