Showing papers in "International Journal of Research in Marketing in 2021"

TL;DR: In this paper, the authors show that emotional support offered by a digital assistant increases customer satisfaction and persistence in using technology-mediated services, and that the effect of emotional support on persistence occurs independently of the digital assistant's embodiment.

TL;DR: In this article, the authors investigate five years of computer mediated communications facilitated by the Indian brand Dabur Vatika and reveal how vulnerable consumers directly or indirectly affected by cancer leverage brand's social media to replenish resources.

TL;DR: In this paper, the authors investigated the impact of smartness on customer well-being through customer engagement with different smart service system actors and customer perceptions (here, personalization and intrusiveness perceptions) and their associated importance.

TL;DR: In this article, a multilevel multivariate autoregressive zero-inflated negative binomial model is used to examine how brand post and response behaviors are related to specific consumer engagement behaviors.

TL;DR: The International Journal of Research in Marketing (IJRM) as mentioned in this paper published groundbreaking research on a range of topics related to marketing, and the journal's first 35 years in terms of its publication trends, authorship patterns, citation structure, and themes are summarized using bibliometrics.

TL;DR: In this article, the authors define CTFBE as a consumer's boundedly volitional resource investment in technology-mediated brand interactions, and propose a framework that incorporates TAM-informed consumer-perceived technology usefulness and ease-of-use, in addition to goal salience and network position.

TL;DR: In this paper, the authors explored the relationship between storytelling, customer engagement, and successful achievement of donations on social-issue crowdfunding campaigns and found that storytelling techniques have a significant positive effect on customer engagement and donation performance, particularly the direct storytelling technique.

TL;DR: The authors used a survey on a crowdsourcing platform to obtain both genuine and deceptive reviews of hotels and learned the word patterns from each category to discriminate genuine reviews from fake ones for positively and negatively evaluated reviews, respectively.

TL;DR: In this paper, the authors proposed a framework for analyzing digital marketing communication along four major dyads, namely, business-to-consumer (B2C), B2B, C2C, and C2B.

TL;DR: The authors identify three general factors that must be present in order for academics to develop important marketing insights: (i) awareness of important marketing issues, (ii) ability to address these issues, and (iii) motivation to address them.

TL;DR: The research reported here proposes a 2 x 2 framework based on sampling goal and methodology for screening and evaluating the quality of online samples, suggesting the need for screening in every online sample, particularly for the MTurk samples, with the fewest supplier-provided filters.

TL;DR: In this article, the authors use goal framing, a marketing practice that involves making strategic adjustments to wording of marketing communications, in technology-facilitated communication (e.g., email) to stimulate consumers' behavioral engagement with pension information that is relevant for their long-term financial well-being.

TL;DR: For example, this paper found that neural network-based machine learning methods, in particular pre-trained versions, offer the most accurate predictions, while topic models such as Latent Dirichlet Allocation offer deeper diagnostics.

TL;DR: It is shown that people generally answer more extremely to survey items presented in vertical versus horizontal Likert formats, and recommendations on the use of response scale formats in online surveys are provided.

TL;DR: In this article, the authors show that competition is more effective in driving performance and personal growth, while cooperation is superior in terms of behavioral engagement and life satisfaction, while the effects are mediated by strive for success and fear of failure, two counteracting psychological processes.

TL;DR: In this article, the authors developed a broad set of hypotheses about cross-channel effects based on channel richness and influence roles, and modeled the effects of channel marketing efforts on shopping outcomes in different channels through a simultaneous equation system.

TL;DR: The key findings of the analysis of 439 managers making 1287 decisions are that customer-mindset marketing metrics such as awareness and willingness to recommend are the most effective metrics for managers to employ while financial metrics are the least effective.

TL;DR: In this article, the authors explored how the experience of using a luxury product can alter a user's perceptions of themselves and their behavior toward other people, and found that women exhibited more selfish behavior, such as sharing fewer resources with others and contributing less money to charity than women who used a non-luxury handbag.

TL;DR: The authors found that disclosure is a double-edged sword, negatively relating to influencer trustworthiness and consumer engagement, while consumers also express appreciation for transparency when influencers disclose posts as advertising, which increases perceived trustworthiness of the influencer and engagement with the post.

TL;DR: This paper used vector autoregressive modeling to show that marketplace sales increase sales on a retailer's website (0.014% for every 1% in marketplace sales). This effect is strongest for categories with large choice and low product prices.

TL;DR: In this article, the authors show that intrinsic incentivization acceptance motives can mitigate the negative effects of positive incentivized reviews on credibility and, ultimately, revisit intention and behavior of influencers.

TL;DR: In this paper, the authors provide a perspective on the evolution of research and practice in digital product innovations and digital marketing innovations, focusing on innovations for the greater good in the domain of the former and direct and mediated communications through social media platforms and omnichannel marketing.

TL;DR: This article analyzed website quality effects for premium and non-premium brands in programmatic advertising and found that when a performance ad appears on a nonpremium website, it generates fewer clicks; this effect is stronger for premium brands.

TL;DR: In this paper, the authors defined "luxury" as expensive and exclusive products and brands that are differentiated from other offers based on their exquisite design and craftmanship, sensory appeal, and distinct socio-cultural narratives.

TL;DR: Investigating the effect of direct mailing on zip-code level upper, middle, and lower funnel performance metrics over time by analyzing quasi-experimental data from a large European insurance firm reveals that direct mailing significantly influences consumer activity metrics in the online channel, in support of cross-channel effects ofdirect mailing.

TL;DR: Multiple types of measures extracted from electroencephalography recordings and machine learning algorithms are used to improve preference prediction based on self-reports alone, finding that the most predictive EEG measures were frontal powers in the alpha band, hemispheric asymmetry in the beta band, and inter-subject correlation in delta and alpha bands.

TL;DR: In this paper, the authors investigated the effect of displaying the number of views or the number bought on the view-to-bought ratio of a product and found that, beyond a tipping point, increasing the view count or number of viewed views lowers the purchase intention.

TL;DR: In this article, the authors proposed a de-biasing procedure to improve the accuracy of the direct single question approach by systematically assessing the hypothetical biases associated with the CQA approach and explore ways to de-bias it.

TL;DR: In this paper, the authors identify social media-specific resources and dynamic capabilities that can enhance social media performance, and empirically investigate their performance effects using different kinds of data pertaining to consumer brands, gathered from manager surveys, brands' financial statements, Facebook fans, Instagram followers, YouTube subscribers, and brand image measures.

TL;DR: This paper examined AI technologies in marketing via a global lens, focusing on three levels of analysis: country, company, and consumer, and explored the interaction between these two key dimensions of AI across three-part global lens to develop a set of research questions for future marketing scholarship in this increasingly important domain.