{"title":"人工智能和预测性营销:从管理者角度看伦理框架","authors":"Hina Naz, Muhammad Kashif","doi":"10.1108/sjme-06-2023-0154","DOIUrl":null,"url":null,"abstract":"Purpose\nArtificial intelligence (AI) offers many benefits to improve predictive marketing practice. It raises ethical concerns regarding customer prioritization, market share concentration and consumer manipulation. This paper explores these ethical concerns from a contemporary perspective, drawing on the experiences and perspectives of AI and predictive marketing professionals. This study aims to contribute to the field by providing a modern perspective on the ethical concerns of AI usage in predictive marketing, drawing on the experiences and perspectives of professionals in the area.\n\nDesign/methodology/approach\nThe study conducted semistructured interviews for 6 weeks with 14 participants experienced in AI-enabled systems for marketing, using purposive and snowball sampling techniques. Thematic analysis was used to explore themes emerging from the data.\n\nFindings\nResults reveal that using AI in marketing could lead to unintended consequences, such as perpetuating existing biases, violating customer privacy, limiting competition and manipulating consumer behavior.\n\nOriginality/value\nThe authors identify seven unique themes and benchmark them with Ashok’s model to provide a structured lens for interpreting the results. The framework presented by this research is unique and can be used to support ethical research spanning social, technological and economic aspects within the predictive marketing domain.\n","PeriodicalId":37428,"journal":{"name":"Spanish Journal of Marketing - ESIC","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial intelligence and predictive marketing: an ethical framework from managers’ perspective\",\"authors\":\"Hina Naz, Muhammad Kashif\",\"doi\":\"10.1108/sjme-06-2023-0154\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Purpose\\nArtificial intelligence (AI) offers many benefits to improve predictive marketing practice. It raises ethical concerns regarding customer prioritization, market share concentration and consumer manipulation. This paper explores these ethical concerns from a contemporary perspective, drawing on the experiences and perspectives of AI and predictive marketing professionals. This study aims to contribute to the field by providing a modern perspective on the ethical concerns of AI usage in predictive marketing, drawing on the experiences and perspectives of professionals in the area.\\n\\nDesign/methodology/approach\\nThe study conducted semistructured interviews for 6 weeks with 14 participants experienced in AI-enabled systems for marketing, using purposive and snowball sampling techniques. Thematic analysis was used to explore themes emerging from the data.\\n\\nFindings\\nResults reveal that using AI in marketing could lead to unintended consequences, such as perpetuating existing biases, violating customer privacy, limiting competition and manipulating consumer behavior.\\n\\nOriginality/value\\nThe authors identify seven unique themes and benchmark them with Ashok’s model to provide a structured lens for interpreting the results. The framework presented by this research is unique and can be used to support ethical research spanning social, technological and economic aspects within the predictive marketing domain.\\n\",\"PeriodicalId\":37428,\"journal\":{\"name\":\"Spanish Journal of Marketing - ESIC\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Spanish Journal of Marketing - ESIC\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/sjme-06-2023-0154\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Business, Management and Accounting\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Spanish Journal of Marketing - ESIC","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/sjme-06-2023-0154","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
Artificial intelligence and predictive marketing: an ethical framework from managers’ perspective
Purpose
Artificial intelligence (AI) offers many benefits to improve predictive marketing practice. It raises ethical concerns regarding customer prioritization, market share concentration and consumer manipulation. This paper explores these ethical concerns from a contemporary perspective, drawing on the experiences and perspectives of AI and predictive marketing professionals. This study aims to contribute to the field by providing a modern perspective on the ethical concerns of AI usage in predictive marketing, drawing on the experiences and perspectives of professionals in the area.
Design/methodology/approach
The study conducted semistructured interviews for 6 weeks with 14 participants experienced in AI-enabled systems for marketing, using purposive and snowball sampling techniques. Thematic analysis was used to explore themes emerging from the data.
Findings
Results reveal that using AI in marketing could lead to unintended consequences, such as perpetuating existing biases, violating customer privacy, limiting competition and manipulating consumer behavior.
Originality/value
The authors identify seven unique themes and benchmark them with Ashok’s model to provide a structured lens for interpreting the results. The framework presented by this research is unique and can be used to support ethical research spanning social, technological and economic aspects within the predictive marketing domain.
期刊介绍:
Expected manuscript profile: SJM-ESIC is especially interested in submissions that include unique and novel contributions on the frontier of knowledge, focused on emerging areas relevant to academic research in marketing or even opening new research niches. New methodologies and techniques are particularly appreciated. SJM-ESIC welcomes a wide array of original contributions (quantitative or qualitative empirical analysis, critical literature reviews, meta-analysis, theoretical papers, agenda for future research, etc.), as well as research that cross the frontiers between marketing and other related areas. Submitted manuscripts can be focused on Spanish, Latin-American, but also any other relevant market. Agenda for Future Research: Considering the interest of the SJM-ESIC for unique and novel contributions on the frontier of knowledge, this section aims to create a space for critical reflection of new directions in which future specialized research in the marketing field should advance. The Agenda for Future Research section welcomes contributions outlining emerging opportunities in the marketing discipline derived, for example, from changes in consumers'' behaviour. New challenges in this evolving field might be also addressed. In sum, this section aims to propose new research avenues for marketing academics in order to inspire future research agendas. Leading researchers in the marketing discipline, either alone or in collaboration, are highly encouraged to contribute to this Agenda for Future Research section. Due to the particularities of this type of contributions, no restrictions on manuscript structure apply.