We hypothesize that the physical characteristics of cash lead to differences in “pain of holding” which influences spending. In one field study (rural India) and two controlled experiments (N = 1710), we tested that hypothesis by endowing people with coins or equivalently valued banknotes and measuring their pain of holding and spending. Holding denomination constant (e.g., $1 coins vs. $1 banknotes), participants reported a greater pain of holding for coins (vs banknotes) which in turn increased spending. These findings were consistent across three incentive-compatible experiments using a range of contexts (spending/donation), populations (Americans/Indians), and currencies (USD/INR). There was no evidence that coins were spent more than banknotes because of lower perceived purchasing power. Our findings suggest that the pain of holding contributes to under-saving, which may be especially problematic among vulnerable populations who rely on cash. Conceptually, we shed new insight on the denomination effect (greater spending of smaller than larger denominations) and the pain of paying (the aversive experience of spending money). Practically, we provide recommendations for practitioners who wish to encourage donations, spending, or saving.
{"title":"When cash costs you: The pain of holding coins over banknotes","authors":"Jay Zenkić, Nicole L. Mead, Kobe Millet","doi":"10.1002/jcpy.1395","DOIUrl":"10.1002/jcpy.1395","url":null,"abstract":"<p>We hypothesize that the physical characteristics of cash lead to differences in “pain of holding” which influences spending. In one field study (rural India) and two controlled experiments (<i>N</i> = 1710), we tested that hypothesis by endowing people with coins or equivalently valued banknotes and measuring their pain of holding and spending. Holding denomination constant (e.g., $1 coins vs. $1 banknotes), participants reported a greater pain of holding for coins (vs banknotes) which in turn increased spending. These findings were consistent across three incentive-compatible experiments using a range of contexts (spending/donation), populations (Americans/Indians), and currencies (USD/INR). There was no evidence that coins were spent more than banknotes because of lower perceived purchasing power. Our findings suggest that the pain of holding contributes to under-saving, which may be especially problematic among vulnerable populations who rely on cash. Conceptually, we shed new insight on the denomination effect (greater spending of smaller than larger denominations) and the pain of paying (the aversive experience of spending money). Practically, we provide recommendations for practitioners who wish to encourage donations, spending, or saving.</p>","PeriodicalId":48365,"journal":{"name":"Journal of Consumer Psychology","volume":"34 4","pages":"641-649"},"PeriodicalIF":4.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jcpy.1395","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135725816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Julian De Freitas, Ahmet Kaan Uğuralp, Zeliha Oğuz-Uğuralp, Stefano Puntoni
Chatbots are now able to engage in sophisticated conversations with consumers. Due to the “black box” nature of the algorithms, it is impossible to predict in advance how these conversations will unfold. Behavioral research provides little insight into potential safety issues emerging from the current rapid deployment of this technology at scale. We begin to address this urgent question by focusing on the context of mental health and “companion AI”: Applications designed to provide consumers with synthetic interaction partners. Studies 1a and 1b present field evidence: Actual consumer interactions with two different companion AIs. Study 2 reports an extensive performance test of several commercially available companion AIs. Study 3 is an experiment testing consumer reaction to risky and unhelpful chatbot responses. The findings show that (1) mental health crises are apparent in a nonnegligible minority of conversations with users; (2) companion AIs are often unable to recognize, and respond appropriately to, signs of distress; and (3) consumers display negative reactions to unhelpful and risky chatbot responses, highlighting emerging reputational risks for generative AI companies.
{"title":"Chatbots and mental health: Insights into the safety of generative AI","authors":"Julian De Freitas, Ahmet Kaan Uğuralp, Zeliha Oğuz-Uğuralp, Stefano Puntoni","doi":"10.1002/jcpy.1393","DOIUrl":"10.1002/jcpy.1393","url":null,"abstract":"<p>Chatbots are now able to engage in sophisticated conversations with consumers. Due to the “black box” nature of the algorithms, it is impossible to predict in advance how these conversations will unfold. Behavioral research provides little insight into potential safety issues emerging from the current rapid deployment of this technology at scale. We begin to address this urgent question by focusing on the context of mental health and “companion AI”: Applications designed to provide consumers with synthetic interaction partners. Studies 1a and 1b present field evidence: Actual consumer interactions with two different companion AIs. Study 2 reports an extensive performance test of several commercially available companion AIs. Study 3 is an experiment testing consumer reaction to risky and unhelpful chatbot responses. The findings show that (1) mental health crises are apparent in a nonnegligible minority of conversations with users; (2) companion AIs are often unable to recognize, and respond appropriately to, signs of distress; and (3) consumers display negative reactions to unhelpful and risky chatbot responses, highlighting emerging reputational risks for generative AI companies.</p>","PeriodicalId":48365,"journal":{"name":"Journal of Consumer Psychology","volume":"34 3","pages":"481-491"},"PeriodicalIF":4.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134906980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Michael Hallsworth, John A. List, Robert D. Metcalfe, Kristian Rotaru, Ivo Vlaev
This study investigates how people's tendency to avoid action, known as “omission bias,” influences their financial decisions, specifically in the context of debt repayment to the UK government. Using a randomized controlled trial, we communicated with individuals who owed money, employing two distinct message framings. The omission-framed message suggested that nonresponse was seen as inadvertent, while the commission-framed message treated nonresponse as a deliberate choice. Analyses of nearly 40,000 responses revealed that repayment rates almost doubled with commission framing, reaching 23.2%, as opposed to 12% under omission framing. This reframing strategy generated over $1.4 million in additional revenue, underscoring the considerable real-world impact of understanding and leveraging the omission bias in shaping financial behaviors.
{"title":"The making of Homo Honoratus: From omission to commission","authors":"Michael Hallsworth, John A. List, Robert D. Metcalfe, Kristian Rotaru, Ivo Vlaev","doi":"10.1002/jcpy.1392","DOIUrl":"10.1002/jcpy.1392","url":null,"abstract":"<p>This study investigates how people's tendency to avoid action, known as “omission bias,” influences their financial decisions, specifically in the context of debt repayment to the UK government. Using a randomized controlled trial, we communicated with individuals who owed money, employing two distinct message framings. The omission-framed message suggested that nonresponse was seen as inadvertent, while the commission-framed message treated nonresponse as a deliberate choice. Analyses of nearly 40,000 responses revealed that repayment rates almost doubled with commission framing, reaching 23.2%, as opposed to 12% under omission framing. This reframing strategy generated over $1.4 million in additional revenue, underscoring the considerable real-world impact of understanding and leveraging the omission bias in shaping financial behaviors.</p>","PeriodicalId":48365,"journal":{"name":"Journal of Consumer Psychology","volume":"34 4","pages":"588-600"},"PeriodicalIF":4.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jcpy.1392","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136352843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We examined how different ways of presenting time-series data affect consumer judgments and behaviors. Specifically, we compared the use of absolute terms (e.g., actual dollar change) versus relative terms (e.g., annual percentage change) in charts. Our findings revealed that absolute charts tend to have a more positive visual slope than relative charts, leading consumers to extrapolate these trends and expect faster growth in quantities. In Study 1, participants who viewed COVID-19 data in absolute charts, as opposed to relative charts, donated more money to a COVID-19-related charity and were less inclined to challenge quarantine advisories throughout the day. In Study 2, we observed that participants preferred investing in a country when its GDP was presented in an absolute chart, and visual trends were found to drive this effect. Study 3 demonstrated that individuals placed greater emphasis on absolute charts depicting population growth, particularly when the unit of measurement was more meaningful. Overall, the choice to represent data in absolute versus relative terms has a far reaching impact on judgments and choices.
{"title":"Presenting time-series data as absolute versus relative changes impacts judgments and choices","authors":"Geoff Tomaino, Daniel J. Walters","doi":"10.1002/jcpy.1391","DOIUrl":"10.1002/jcpy.1391","url":null,"abstract":"<p>We examined how different ways of presenting time-series data affect consumer judgments and behaviors. Specifically, we compared the use of absolute terms (e.g., actual dollar change) versus relative terms (e.g., annual percentage change) in charts. Our findings revealed that absolute charts tend to have a more positive visual slope than relative charts, leading consumers to extrapolate these trends and expect faster growth in quantities. In Study 1, participants who viewed COVID-19 data in absolute charts, as opposed to relative charts, donated more money to a COVID-19-related charity and were less inclined to challenge quarantine advisories throughout the day. In Study 2, we observed that participants preferred investing in a country when its GDP was presented in an absolute chart, and visual trends were found to drive this effect. Study 3 demonstrated that individuals placed greater emphasis on absolute charts depicting population growth, particularly when the unit of measurement was more meaningful. Overall, the choice to represent data in absolute versus relative terms has a far reaching impact on judgments and choices.</p>","PeriodicalId":48365,"journal":{"name":"Journal of Consumer Psychology","volume":"34 3","pages":"510-518"},"PeriodicalIF":4.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jcpy.1391","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136113082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
<p>Language, whether spoken or written, is fundamental to the consumer experience. It is how consumers express their thoughts, articulate choices, negotiate with others, and receive information about products or services. And it is how marketers deliver persuasion attempts, make apologies, and build relationships with consumers.</p><p>Language has also long been a powerful research tool. Scholars have used content analysis methods like ethnography in interviews, observational studies, and interpretation of language-based artifacts to advance our understanding of consumer culture (e.g., Arnould & Thompson, <span>2005</span>; Stern, <span>1989</span>). Research on the psychology of language has studied how people respond to a range of semantic, syntactic, and rhetorical aspects of verbal communication (Kronrod, <span>2022</span>).</p><p>But something new has emerged in the last decade or so—something that has helped foster a genuine explosion in the analysis of text in consumer research (Packard & Berger, <span>2023</span>). First, language data has become more accessible. While consumers, companies, and other marketplace actors are constantly producing language, only recently has much of this content become digitized (or digitizable), making it far easier to collect and analyze. Every day, billions of consumers share attitudes and opinions online. Customer service calls, depth interviews, and Zoom meetings can be transcribed with the push of a button, and the shift from paper and pencil surveys to online data collection means open-ended participant responses are ready-made for automated text analysis. Similarly, massive online repositories of human conversations, product reviews, books, movie scripts, newspaper articles, and other cultural content provide easy ways to explore ideas in language.</p><p>Second, new tools have changed how language can be analyzed. Previously, language data could only be coded manually. Researchers, or research assistants, would read or listen to language and score it on various dimensions. While manual coding is helpful, it is often subjective and difficult to scale for both lab and field research. Manually reading and carefully evaluating just 10 conversations, online reviews, or thought listings takes a fair amount of time—and reading 1000 takes 100 times as long.</p><p>In recent years, though, psychologists and computer scientists have developed tools that allow language data to be processed and analyzed quickly and easily. Dictionaries like Linguistic Inquiry and Word Count (LIWC, Tausczik & Pennebaker, <span>2010</span>) allow researchers to count the presence of different words linked to psychological constructs and approaches like latent Dirichlet allocation (Blei et al., <span>2003</span>). Word embeddings (cf. Bakarov, <span>2018</span>) and large language model approaches (e.g., BERT, GPT) make it possible to measure almost any construct. And these tools are becoming more user-friendly every day.
语言,无论是口头的还是书面的,都是消费者体验的基础。这是消费者如何表达自己的想法、阐明选择、与他人谈判以及接收有关产品或服务的信息。这也是营销人员如何进行说服、道歉以及与消费者建立关系的方式。长期以来,语言也是一种强大的研究工具。学者们在访谈中使用了内容分析方法,如民族志、观察研究和基于语言的人工制品的解释,以促进我们对消费文化的理解(例如,Arnould&;Thompson,2005;Stern,1989)。语言心理学研究已经研究了人们对言语交流的一系列语义、句法和修辞方面的反应(Kronrod,2022)。但在过去十年左右的时间里,出现了一些新的东西——这有助于促进消费者研究中文本分析的真正爆发(Packard&;Berger,2023)。首先,语言数据变得更容易获取。虽然消费者、公司和其他市场参与者不断生产语言,但直到最近,这些内容中的大部分才变得数字化(或可数字化),使收集和分析变得更加容易。每天,数以十亿计的消费者在网上分享态度和观点。客户服务电话、深度访谈和Zoom会议只需按下一个按钮就可以转录,从纸笔调查到在线数据收集的转变意味着开放式参与者的回答可以用于自动文本分析。同样,大量的人类对话、产品评论、书籍、电影剧本、报纸文章和其他文化内容的在线存储库提供了用语言探索想法的简单方法。其次,新工具改变了分析语言的方式。以前,语言数据只能手动编码。研究人员或研究助理会阅读或倾听语言,并在各个方面进行评分。虽然手动编码是有帮助的,但对于实验室和现场研究来说,它通常是主观的,很难缩放。手动阅读和仔细评估10次对话、在线评论或思想列表需要相当长的时间,而阅读1000次需要100倍的时间。然而,近年来,心理学家和计算机科学家开发了一些工具,可以快速方便地处理和分析语言数据。语言学探究和单词计数等词典(LIWC,Tausczik&;Pennebaker,2010)使研究人员能够统计与心理结构和潜在狄利克雷分配等方法相关的不同单词的存在(Blei et al.,2003)。单词嵌入(参见Bakarov,2018)和大型语言模型方法(例如,BERT、GPT)几乎可以测量任何结构。这些工具每天都变得越来越用户友好。就像显微镜彻底改变了化学,望远镜彻底改变了天文学一样,自动化文本分析的不断发展使各种不同领域的研究人员能够从文本中获得一系列新的见解。本期特刊提供了一系列令人兴奋的文章,展示了文本分析如何阐明消费者心理学中的各种理论和实质性主题。通过探索的一系列理论、应用的方法和引入的工具,我们希望刚刚开始探索这个空间的学者、那些担心自己没有“专业知识”的学者,甚至语言专家的文本分析和心理学,都能受到启发,思考这些方法如何产生新的消费者见解。接下来,我们将简要介绍为什么每一篇特刊文章都能帮助做到这一点。我们讨论了将文本分析和实验相结合的文章,介绍了捕捉结构的用户友好方法,并将尖端方法应用于新问题。然后,我们就特刊的方法多样性分享一个简短的观点,讨论今天谁在使用文本分析,并指出一些文本分析资源。值得注意的是,一些特刊作者不一定会被认为是“文本分析人”。有些人可能最近在他们的工具包中添加了这种方法。其他人则与同事合作,为团队带来专业知识。这就提出了一个有趣的问题:谁在使用文本分析,如何使用?为了找出答案,我们询问了消费者心理学协会和消费者研究协会电子邮件列表上的人(研究教授和博士生;N = 220)来回答关于他们的研究方法的一些问题。我们没有提到文本分析来减少自我选择。结果表明,超过三分之二(69%)的学者——包括初级和高级学者——报告称在他们的研究中至少使用过一次自动文本分析,这表明它确实正在接近作为一种研究方法的主流地位。 大多数研究人员指出,他们还没有使用自动文本分析,他们表示,这主要是由于缺乏知识(80%)。希望这期特刊能帮助更多的学者找到一位同事加入这项工作,从而将自动文本分析添加到他们的工具包或研究团队中。特刊中的文章和我们调查中概述的用例强调了消费者研究人员可以使用文本分析来探索几乎任何主题的几种方法。首先,研究人员可以使用文本分析工具对现有想法进行更丰富的测试。他们可能已经对预测因素和结果之间的关系有了特定的想法,或者他们甚至可能对潜在的过程有了某种感觉。此外,他们可能已经进行了一些实验来测试这些想法。自动文本分析可以提供进一步的测试,揭示额外的关系,或提供外部有效性。例如,在实验工作中,研究人员可以让参与者回答开放式问题或写下关于经验的文章,并解析这些内容来评估因变量(Barasch和Berger,2014;Spiller和Belogolova,2017)、中介(Wu et al.,2019)或替代解释。同样,进行了仔细控制实验的研究人员可能想测试它们的效果在嘈杂的环境中是否有效。在线评论(Lafreniere,Moore,&;Fisher,2022)、社交媒体帖子(Lee和Junquéde Fortuny,2022),以及从报纸文章和书籍到电影剧本和歌词的一切(Packard&;Berger,2020;Toubia等人,2021)都可以为外部有效性提供有用的测试依据。其次,研究人员可以首先使用这些方法来帮助发展思想和理论(van Osselaer和Janiszewski,2021)。一些研究人员可能对一个广泛的问题感兴趣,比如是什么让在线内容像病毒一样传播,或者客户服务互动如何提高客户满意度。在这种情况下,他们可能会想到一个因变量,但不确定该关注哪个自变量。通过使用自动文本分析来测量多个自变量,研究人员可以探索哪些特征最重要(Hodges et al.,2023),并在开发理论和设计后续实验之前,利用这些特征来决定关注点。同样,研究人员可以通过测量和控制可能发挥作用的其他因素来测试替代解释;他们可以使用自动化的文本分析来探索潜在的底层过程,同时对它们进行测试。第三,研究者可以利用文本分析的结果来提高他们的学术写作水平。最近的工作使用自然语言处理来探索如何使写作更清晰,以及为什么一些文章被引用更多(Warren et al.,2021);Boghrati等人,2023)。抽象、技术语言和被动写作会使研究难以理解,并导致其被引用较少。同样,更简单地写作,使用现在时(而不是过去时),以及使用个人声音(例如,“我们”而不是“结果”),都有助于提高影响力。最后,我们注意到,本期特刊只提供了一个伟大研究的样本,这些研究分析文本以获得消费者的洞察力。探索其他文本分析文章可能有助于学者进一步了解这些工具可能帮助解决的方法和研究问题的多样性。最近的综述文章提供了许多例子(Kronrod,2022;Packard&;Berger,2023)。对于有兴趣尝试这些方法的研究人员来说,有一些简单的方法可以开始探索。从获取一些文本开始;这可以是对实验、想法列表或在线评论中的写作提示的回应。然后将这些数据放在电子表格中,每个参与者或观察结果都是一行。接下来,尝试将这些数据输入到一些免费的在线工具中,用于提取特征,例如http://textanalyzer.org/或http://www.lexicalsuite.com/.LIWC(
{"title":"Consumer insights from text analysis","authors":"Grant Packard, Sarah G. Moore, Jonah Berger","doi":"10.1002/jcpy.1383","DOIUrl":"https://doi.org/10.1002/jcpy.1383","url":null,"abstract":"<p>Language, whether spoken or written, is fundamental to the consumer experience. It is how consumers express their thoughts, articulate choices, negotiate with others, and receive information about products or services. And it is how marketers deliver persuasion attempts, make apologies, and build relationships with consumers.</p><p>Language has also long been a powerful research tool. Scholars have used content analysis methods like ethnography in interviews, observational studies, and interpretation of language-based artifacts to advance our understanding of consumer culture (e.g., Arnould & Thompson, <span>2005</span>; Stern, <span>1989</span>). Research on the psychology of language has studied how people respond to a range of semantic, syntactic, and rhetorical aspects of verbal communication (Kronrod, <span>2022</span>).</p><p>But something new has emerged in the last decade or so—something that has helped foster a genuine explosion in the analysis of text in consumer research (Packard & Berger, <span>2023</span>). First, language data has become more accessible. While consumers, companies, and other marketplace actors are constantly producing language, only recently has much of this content become digitized (or digitizable), making it far easier to collect and analyze. Every day, billions of consumers share attitudes and opinions online. Customer service calls, depth interviews, and Zoom meetings can be transcribed with the push of a button, and the shift from paper and pencil surveys to online data collection means open-ended participant responses are ready-made for automated text analysis. Similarly, massive online repositories of human conversations, product reviews, books, movie scripts, newspaper articles, and other cultural content provide easy ways to explore ideas in language.</p><p>Second, new tools have changed how language can be analyzed. Previously, language data could only be coded manually. Researchers, or research assistants, would read or listen to language and score it on various dimensions. While manual coding is helpful, it is often subjective and difficult to scale for both lab and field research. Manually reading and carefully evaluating just 10 conversations, online reviews, or thought listings takes a fair amount of time—and reading 1000 takes 100 times as long.</p><p>In recent years, though, psychologists and computer scientists have developed tools that allow language data to be processed and analyzed quickly and easily. Dictionaries like Linguistic Inquiry and Word Count (LIWC, Tausczik & Pennebaker, <span>2010</span>) allow researchers to count the presence of different words linked to psychological constructs and approaches like latent Dirichlet allocation (Blei et al., <span>2003</span>). Word embeddings (cf. Bakarov, <span>2018</span>) and large language model approaches (e.g., BERT, GPT) make it possible to measure almost any construct. And these tools are becoming more user-friendly every day.","PeriodicalId":48365,"journal":{"name":"Journal of Consumer Psychology","volume":"33 4","pages":"615-620"},"PeriodicalIF":4.8,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jcpy.1383","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50145259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Research suggests that mystery products can be appealing to consumers and can motivate interest and purchase. In this paper, we examine a different benefit of these offerings—their effect on driving conversation. We propose that such products can prompt a conversation due to their ability to motivate joint speculation, or the process of thinking about possible resolutions of the uncertainty with others. We define this novel driver of conversation, delineate it from related constructs, and situate it in the literature. We then provide initial evidence for the proposed theory in seven studies (n = 2835), demonstrating that mystery products increase the desire for conversation (Studies 1, 3–4, Supplemental Studies A–C) and generate joint speculation (Studies 2–4, Supplemental Study B–C). We also rule out alternative explanations (such as information acquisition and savouring, Study 3; novelty, Supplemental Study B). These effects, however, are attenuated for closed-minded consumers (Study 4), who are less open to considering multiple perspectives and thereby less interested in joint speculation. We conclude with directions for future research and implications for marketers.
{"title":"Let's speculate about it: When and why consumers want to discuss mystery products","authors":"Aleksandra Kovacheva, Hillary J. D. Wiener","doi":"10.1002/jcpy.1388","DOIUrl":"10.1002/jcpy.1388","url":null,"abstract":"<p>Research suggests that mystery products can be appealing to consumers and can motivate interest and purchase. In this paper, we examine a different benefit of these offerings—their effect on driving conversation. We propose that such products can prompt a conversation due to their ability to motivate joint speculation, or the process of thinking about possible resolutions of the uncertainty with others. We define this novel driver of conversation, delineate it from related constructs, and situate it in the literature. We then provide initial evidence for the proposed theory in seven studies (<i>n</i> = 2835), demonstrating that mystery products increase the desire for conversation (Studies 1, 3–4, Supplemental Studies A–C) and generate joint speculation (Studies 2–4, Supplemental Study B–C). We also rule out alternative explanations (such as information acquisition and savouring, Study 3; novelty, Supplemental Study B). These effects, however, are attenuated for closed-minded consumers (Study 4), who are less open to considering multiple perspectives and thereby less interested in joint speculation. We conclude with directions for future research and implications for marketers.</p>","PeriodicalId":48365,"journal":{"name":"Journal of Consumer Psychology","volume":"34 3","pages":"492-501"},"PeriodicalIF":4.0,"publicationDate":"2023-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135790697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We investigate how duration of storage affects food waste behavior. We propose and demonstrate a negative impact of duration of storage: even when two packaged food products are otherwise identical (i.e., same manufacturing/expiration dates, not expired, and unopened), the product that has been stored for a longer duration under current ownership is more likely to be wasted and is likely to be wasted in greater quantities. This occurs because duration of storage lowers consumers' perceptions of food freshness, even when normative justification is not possible. The duration of storage has an independent effect over and above those due to manufacturing and expiration dates, and the effect persists in both single and joint evaluations. We draw from research in several areas, including ownership, mental accounting, food science, and waste management to develop our theory. We report findings from six pre-registered studies, provide process evidence, and identify interventions to lower food waste.
{"title":"How duration of storage affects food waste behavior","authors":"Vivian (Jieru) Xie, Rajesh Bagchi","doi":"10.1002/jcpy.1389","DOIUrl":"10.1002/jcpy.1389","url":null,"abstract":"<p>We investigate how duration of storage affects food waste behavior. We propose and demonstrate a negative impact of duration of storage: even when two packaged food products are otherwise identical (i.e., same manufacturing/expiration dates, not expired, and unopened), the product that has been stored for a longer duration under current ownership is more likely to be wasted and is likely to be wasted in greater quantities. This occurs because duration of storage lowers consumers' perceptions of food freshness, even when normative justification is not possible. The duration of storage has an independent effect over and above those due to manufacturing and expiration dates, and the effect persists in both single and joint evaluations. We draw from research in several areas, including ownership, mental accounting, food science, and waste management to develop our theory. We report findings from six pre-registered studies, provide process evidence, and identify interventions to lower food waste.</p>","PeriodicalId":48365,"journal":{"name":"Journal of Consumer Psychology","volume":"34 4","pages":"570-587"},"PeriodicalIF":4.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135275536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Libby YoungJin Chun, Christophe Lembregts, Bram Van den Bergh
Would highlighting that a customer review can be completed in 3 min influence a customer's decision to either promptly submit their review or delay it, with the potential risk of forgetting it altogether? Despite the popular approach of using task duration to mitigate task delay, the empirical support for this method is scant. This study investigates the effect of considering task duration (i.e., how long a task may take) on task delay (i.e., postponing the task until later). Across four studies, we demonstrate that making task duration salient decreases the likelihood of postponing a short task that can be achieved in one sitting. This effect occurs because considering task duration strengthens the implemental mindset, but only when task duration information is more evaluable. The findings of this paper suggest an easily implementable method that could customer engagement. Finally, we propose a set of promising avenues for future research.
{"title":"Mind over minutes: The effect of task duration consideration on task delay","authors":"Libby YoungJin Chun, Christophe Lembregts, Bram Van den Bergh","doi":"10.1002/jcpy.1390","DOIUrl":"10.1002/jcpy.1390","url":null,"abstract":"<p>Would highlighting that a customer review can be completed in 3 min influence a customer's decision to either promptly submit their review or delay it, with the potential risk of forgetting it altogether? Despite the popular approach of using task duration to mitigate task delay, the empirical support for this method is scant. This study investigates the effect of considering task duration (i.e., how long a task may take) on task delay (i.e., postponing the task until later). Across four studies, we demonstrate that making task duration salient decreases the likelihood of postponing a short task that can be achieved in one sitting. This effect occurs because considering task duration strengthens the implemental mindset, but only when task duration information is more evaluable. The findings of this paper suggest an easily implementable method that could customer engagement. Finally, we propose a set of promising avenues for future research.</p>","PeriodicalId":48365,"journal":{"name":"Journal of Consumer Psychology","volume":"34 3","pages":"502-509"},"PeriodicalIF":4.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jcpy.1390","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136308250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Some retailers round up price discounts, such as displaying a 7.7% discount as an 8% discount. In such instances, lay beliefs would suggest that displaying an 8% discount (vs. a 7.7% discount) would increase purchase intentions. In this research report, however, we show that displaying a rounded-up, higher-value discount (8%) versus a more precise but lower-value discount (7.7%) reduces purchase intentions. Specifically, we show that using a more precise discount framing increases perceptions that the discount duration is shorter, in turn increasing purchase intentions. This research report presents a relevant and counterintuitive effect, and we propose contributions to work on both behavioral pricing and numerical information processing. Furthermore, this work has implications for practice, showing how to optimally display price discounts.
{"title":"Can rounding up price discounts reduce sales?","authors":"Subhash Jha, Abhijit Biswas, Abhijit Guha, Dinesh Gauri","doi":"10.1002/jcpy.1384","DOIUrl":"10.1002/jcpy.1384","url":null,"abstract":"<p>Some retailers round up price discounts, such as displaying a 7.7% discount as an 8% discount. In such instances, lay beliefs would suggest that displaying an 8% discount (vs. a 7.7% discount) would <i>increase</i> purchase intentions. In this research report, however, we show that displaying a rounded-up, higher-value discount (8%) versus a more precise but lower-value discount (7.7%) <i>reduces</i> purchase intentions. Specifically, we show that using a more precise discount framing increases perceptions that the discount duration is shorter, in turn increasing purchase intentions. This research report presents a relevant and counterintuitive effect, and we propose contributions to work on both behavioral pricing and numerical information processing. Furthermore, this work has implications for practice, showing how to optimally display price discounts.</p>","PeriodicalId":48365,"journal":{"name":"Journal of Consumer Psychology","volume":"34 2","pages":"343-350"},"PeriodicalIF":4.8,"publicationDate":"2023-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50907930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lama Lteif, Gia Nardini, Tracy Rank-Christman, Lauren Block, Melissa G. Bublitz, Jesse R. Catlin, Samantha N. N. Cross, Anne Hamby, Laura A. Peracchio
Our research develops a framework that explores how to fuel the climate movement by accelerating grassroots, community-based climate action. Drawing on insights from consumer psychology, our framework identifies the psychological mechanisms that encourage and motivate people, both individually and collectively, to take climate action, thereby contributing to our understanding of how to advance social action and propel a social movement. Our climate action framework builds on: (1) individuals we describe as climate upstanders who rise up to take climate action with like-minded others, and (2) communities of climate upstanders who engage in collective action aimed at addressing the climate crisis. Our framework expands the field of consumer psychology by redefining the role of consumers to include the practice of social action and broadening the study of consumers to include collective, community-based action. We call on consumer psychologists to research individual and collective consumer practices related to social action and contribute to making social good central to the study of consumer psychology.
{"title":"Climate action now: How to fuel a social movement","authors":"Lama Lteif, Gia Nardini, Tracy Rank-Christman, Lauren Block, Melissa G. Bublitz, Jesse R. Catlin, Samantha N. N. Cross, Anne Hamby, Laura A. Peracchio","doi":"10.1002/jcpy.1386","DOIUrl":"10.1002/jcpy.1386","url":null,"abstract":"<p>Our research develops a framework that explores how to fuel the climate movement by accelerating grassroots, community-based climate action. Drawing on insights from consumer psychology, our framework identifies the psychological mechanisms that encourage and motivate people, both individually and collectively, to take climate action, thereby contributing to our understanding of how to advance social action and propel a social movement. Our climate action framework builds on: (1) individuals we describe as climate upstanders who rise up to take climate action with like-minded others, and (2) communities of climate upstanders who engage in collective action aimed at addressing the climate crisis. Our framework expands the field of consumer psychology by redefining the role of consumers to include the practice of social action and broadening the study of consumers to include collective, community-based action. We call on consumer psychologists to research individual and collective consumer practices related to social action and contribute to making social good central to the study of consumer psychology.</p>","PeriodicalId":48365,"journal":{"name":"Journal of Consumer Psychology","volume":"34 1","pages":"119-139"},"PeriodicalIF":4.8,"publicationDate":"2023-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jcpy.1386","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47663583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}