Subjects -> ADVERTISING AND PUBLIC RELATIONS (Total: 23 journals)
Showing 1 - 8 of 8 Journals sorted by number of followers
Book History     Full-text available via subscription   (Followers: 134)
Journal of Marketing Research     Full-text available via subscription   (Followers: 73)
Journal of Marketing     Full-text available via subscription   (Followers: 53)
Journal of Consumer Psychology     Hybrid Journal   (Followers: 46)
International Journal of Complexity in Leadership and Management     Hybrid Journal   (Followers: 28)
Design and Culture : The Journal of the Design Studies Forum     Hybrid Journal   (Followers: 26)
Journal of International Marketing     Full-text available via subscription   (Followers: 24)
International Journal of Advertising     Full-text available via subscription   (Followers: 22)
Journal of Advertising     Hybrid Journal   (Followers: 20)
Public Relations Review     Hybrid Journal   (Followers: 15)
International Journal of Market Research     Hybrid Journal   (Followers: 14)
Journal of Advertising Research     Full-text available via subscription   (Followers: 14)
Journal of Public Policy & Marketing     Full-text available via subscription   (Followers: 14)
Journal of Public Relations Research     Hybrid Journal   (Followers: 12)
Foundations and Trends® in Marketing     Full-text available via subscription   (Followers: 12)
Advertising & Society Review     Full-text available via subscription   (Followers: 10)
Journal of Interactive Advertising     Open Access   (Followers: 7)
Public Relations Inquiry     Hybrid Journal   (Followers: 5)
Journal of Current Issues & Research in Advertising     Hybrid Journal   (Followers: 5)
Young Consumers: Insight and Ideas for Responsible Marketers     Hybrid Journal   (Followers: 4)
Place Branding and Public Diplomacy     Hybrid Journal   (Followers: 1)
Revista Internacional de Relaciones Públicas     Open Access   (Followers: 1)
Similar Journals
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Journal of Advertising Research
Journal Prestige (SJR): 0.87
Citation Impact (citeScore): 2
Number of Followers: 14  
 
  Full-text available via subscription Subscription journal
ISSN (Print) 1470-7853 - ISSN (Online) 2515-2173
Published by Sage Publications Homepage  [1174 journals]
  • Call for papers: 20 years of Net Promoter Score: Looking back and looking
           forward

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      Pages: 699 - 700
      Abstract: International Journal of Market Research, Volume 64, Issue 5, Page 699-700, September 2022.

      Citation: International Journal of Market Research
      PubDate: 2022-08-09T03:27:34Z
      DOI: 10.1177/14707853221115062
      Issue No: Vol. 64, No. 5 (2022)
       
  • Does making less effort entail satisfaction' A large empirical study
           on client relationship services

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      Authors: Caroline Ardelet, Christophe Benavent
      Abstract: International Journal of Market Research, Ahead of Print.
      The customer effort score has become one of the indicators most monitored by companies in recent years. The idea is that the less effort customers exert when interacting with a brand, the more satisfied they will be, the more likely they will recommend and continue interacting with the brand. In this article, we explore the actual relationship between the client’s effort to solve the problem that led them to contact the brand and the satisfaction derived from this interaction. We present a weekly survey conducted over 2 years, covering 314 194 interactions with 96 brands from 2016 to 2017. The results show a negative effect of client effort intensity on satisfaction, except in some situations where effort intensity increases satisfaction, with an interaction effect of the interaction channel, and the business sector.
      Citation: International Journal of Market Research
      PubDate: 2022-07-19T12:35:04Z
      DOI: 10.1177/14707853221113953
       
  • A practical review of electroencephalography’s value to consumer
           research

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      Authors: Aaron N McInnes, Billy Sung, Reyhane Hooshmand
      Abstract: International Journal of Market Research, Ahead of Print.
      Electroencephalography (EEG) offers insights into the neural responses of consumers to marketing stimuli which can be used to evaluate the effectiveness of such stimuli in directing favorable consumer behavior in real-world settings. This practical review provides guidelines for using EEG in consumer and marketing research. It provides recommendations for how EEG may effectively be employed in neuromarketing in the future. EEG requires careful experimental design, and as such, we outline current recommendations for the collection, processing, analysis, and interpretation of EEG evoked potentials (i.e., event related potentials; ERP) and spectral content (i.e., EEG frequency). By providing an introductory overview of EEG measures in marketing and consumer research, this practical review extends previous literature that is primarily focused on other neuroimaging techniques (e.g., functional magnetic resonance imaging) and other disciplines (e.g., economics and organizational behaviour). Furthermore, by reviewing how EEG has been used throughout psychophysiological and neuromarketing research, we provide recommendations on how EEG can be used to measure marketing-related outcomes. These include processes relating to perception, attention, memory, emotion, and cognitive load, demonstrating the unique value of considering the neural responses captured by EEG in understanding and predicting consumer behavior.
      Citation: International Journal of Market Research
      PubDate: 2022-07-08T12:28:33Z
      DOI: 10.1177/14707853221112622
       
  • The impact of social media visual features on acceptance of meat
           substitute

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      Authors: Felix Septianto, Joya A Kemper, Huy P Quang, Shuge Li, Junbum Kwon
      Abstract: International Journal of Market Research, Ahead of Print.
      There is a growing demand for meat substitutes among consumers, given that excessive meat consumption is associated with negative consequences for personal health and the environment. However, the market shares of such meat substitutes remain low, thus highlighting the need to further investigate how to increase consumer acceptance of meat substitutes. The present research investigates social media data of plant-based meat brands and explores how visual features could lead to a high number of likes, which is a numerical representation of social acceptance. The findings of this research show that social media posts with warm color, vertical symmetry, and horizontal symmetry receive a higher number of likes. Further, there is a joint effect between warm color and vertical symmetry, such that vertical symmetry would strengthen the positive effect of warm color on the number of likes. These findings offer a more nuanced understanding of how to increase consumer acceptance of meat substitutes and how to promote plant-based meat brands in social media.
      Citation: International Journal of Market Research
      PubDate: 2022-06-09T07:44:10Z
      DOI: 10.1177/14707853221107309
       
  • Impact of question topics and filter question formats on web survey
           breakoffs

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      Authors: Zeming Chen, Alexandru Cernat, Natalie Shlomo, Stephanie Eckman
      Abstract: International Journal of Market Research, Ahead of Print.
      Web surveys have become increasingly popular over the last decade, but they tend to suffer from breakoffs, which take place when respondents start the survey but do not complete it. Many studies have investigated the factors impacting breakoffs, but they often ignored the breakoff timing and gave scant attention to two factors: question topics and filter question formats (grouped vs. interleafed as defined by whether filter questions are presented upfront or not). Using survival analysis, this study first identifies when breakoffs are more likely to happen and what are the time-varying predictors of breakoffs. Then, by using a web survey that experimentally manipulates the filter question format and randomly orders the question topic, this study investigates the effect of question topics and filter question formats on the breakoff event and its timing. We find that most breakoffs tend to happen at the beginning of the questionnaire and at the place where a new question topic is introduced. While item nonresponse is associated with more breakoffs, it is surprising to see that open-ended and long questions are associated with a lower breakoff risk. Additionally, we discover that grouping the filter questions leads to fewer breakoffs at the beginning compared to the interleafed counterpart, but the breakoff risk in the grouped format catches up quickly when respondents realise their previous answers will trigger more questions. This study also shows that questions about insurance have more breakoffs while questions on demographics and income have fewer breakoffs despite their sensitivity level.
      Citation: International Journal of Market Research
      PubDate: 2022-06-06T04:15:14Z
      DOI: 10.1177/14707853211068008
       
  • Brand evaluations in sponsorship versus celebrity endorsement

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      Authors: Oliver Schnittka, Julian Hofmann, Marius Johnen, Carsten Erfgen, Zeinab Rezvani
      Abstract: International Journal of Market Research, Ahead of Print.
      Prior research conceptually assumes that sponsorships might have a stronger impact on brand attitude than do celebrity endorsements primarily due to the more indirect and less commercial intent to persuade. However, empirical evidence is lacking on why and under what conditions this assumed effect of sponsorships actually occurs. This paper empirically analyses potential mediating and moderating drivers of the effect of sponsorships compared with that of celebrity endorsements. The results reveal that higher level of perceived brand authenticity mediates the effect of sponsorships versus celebrity endorsement on brand attitude. Furthermore, the effect of sponsorships on brand authenticity is superior when (a) relative corporate social responsibility (CSR) spending in the industry is low and (b) the corporate reputation of the firm is good.
      Citation: International Journal of Market Research
      PubDate: 2022-06-03T12:51:07Z
      DOI: 10.1177/14707853221106309
       
  • Deciphering ‘Urge to Buy’: A Meta-Analysis of Antecedents

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      Authors: Justin Paul, Dr. Jaspreet Kaur, Dr. Shivani Arora, Mr. Sujay Vikram Singh
      Abstract: International Journal of Market Research, Ahead of Print.
      This paper presents a meta-analytical evaluation of the literature on the Urge to Buy (UTB). It seeks to establish the common antecedents of UTB as a construct by a thorough examination of the prior literature. Accordingly, the most significant antecedents of UTB are perceived enjoyment, perceived usefulness, hedonic and utilitarian values, positive and negative affects, scarcity, and impulsive buying tendency. The location of the studies has a moderating influence on the antecedents of UTB. Almost all the factors were more decisive in Eastern countries than Western. The limitations of the current study and the future research agenda have also been mentioned. The study results have both theoretical and practical implications contributing to the marketing research field. The implications of all the studies in the past on the UTB construct have been discussed, and the effect of these studies has been summarized with the meta-analysis technique.
      Citation: International Journal of Market Research
      PubDate: 2022-06-03T04:05:23Z
      DOI: 10.1177/14707853221106317
       
  • How are e-retailer brands related to the manufacturer brands they
           offer'

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      Authors: Richard Huaman-Ramirez, Jean-François Toti
      Abstract: International Journal of Market Research, Ahead of Print.
      The purpose of this article is to examine how e-retailer brands are related to the manufacturer brands they offer. This study is grounded in the experiential branding perspective focusing on multiple dimensions (i.e., sensorial, affective, and intellectual). We also examine the moderating role of the consumer’s chronological age on the effects of both manufacturer brand experience and e-retailer brand experience on brand satisfaction. A sample of 252 beauty box French subscribers took part in our study, and we used partial least squares structural equation modelling to test our hypotheses. Our findings show that manufacturer brand experience positively and directly affects e-retailer brand experience, which in turn positively affects e-retailer brand satisfaction. We also show that chronological age has a positive moderating role on the relationship between e-retailer brand experience and e-retailer brand satisfaction.
      Citation: International Journal of Market Research
      PubDate: 2022-05-30T09:27:13Z
      DOI: 10.1177/14707853221095002
       
  • A grid-based approach to exploratory data analysis

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      Authors: Steven D Elliott
      Abstract: International Journal of Market Research, Ahead of Print.
      A grid-based approach to exploratory data analysis is described wherein the size of a grid’s cells may be altered. The primary tool of exploratory data analysis described here is cluster analysis. Background information is provided regarding the different types of clustering algorithms and their effectiveness. A grid-based approach for exploratory and cluster analysis is then described. Both exploratory and cluster analyses are performed for a series of different sizes of grid cells. Two marketing data sets are utilized to illustrate research questions often faced by market researchers. The first is a cluster analysis of cities used to create strata for selecting a representative probability sample. The second example is a segmentation of customers into groups for the purpose of targeting advertising and product insight. These examples illustrate related issues such as the elimination of “background noise” observations, significance tests for departures from uniform density, and metrics for the shape of a cluster.
      Citation: International Journal of Market Research
      PubDate: 2022-05-30T09:16:15Z
      DOI: 10.1177/14707853221093515
       
  • How can each brand’s buyer base buy the category at above the
           average rate'

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      Authors: John G Dawes
      Abstract: International Journal of Market Research, Ahead of Print.
      An apparent anomaly in brand metrics data is that the aggregated buyer base of each brand appears to buy the category at above the average rate. This seems arithmetically impossible. The effect is real, but it has a simple explanation. It is caused by the fact that heavy category buyers buy more brands than light buyers do. They therefore appear in the buyer base of multiple brands, and so inflate the category buying rate for each brand to above the overall average rate. This study shows what it calls the ‘category purchase rate anomaly’ in empirical data, as well as demonstrating how it occurs via a simulated dataset.
      Citation: International Journal of Market Research
      PubDate: 2022-05-25T02:46:37Z
      DOI: 10.1177/14707853221104730
       
  • Strategic Use of Preference Stability Information for Product Evaluation

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      Authors: Erika Hlédik, Csilla Horváth
      Abstract: International Journal of Market Research, Ahead of Print.
      Preference stability can be a useful and supportive indicator for making strategic and tactical marketing decisions as it can assist short- and longer-term choices regarding product/brand characteristics and attributes. We provide a measurement approach combined with a model for strategic product/brand development decisions and subsequent marketing actions. Managers could use such insights when contrasting different attributes (e.g., design vs. camera of mobile phones) and also when making decisions about characteristics (e.g., different degrees of camera resolution of mobile phones). Such insights shall guide managers on where to invest and on how to leverage consumer preferences more effectively to generate sales for the company. We illustrate the use of our model of preferences and preference stability of product characteristics in three complementary studies (assessing yoghurt, energy drinks, and mobile phones).
      Citation: International Journal of Market Research
      PubDate: 2022-05-17T02:50:24Z
      DOI: 10.1177/14707853221101763
       
  • Beauty Types of Female Advertising Models in Asia

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      Authors: Pornchanoke Tipgomut, Leonard J Paas, Angela McNaught
      Abstract: International Journal of Market Research, Ahead of Print.
      Previously published research has addressed the beauty types of female advertising models from Western perspectives, which have also been applied directly to classify Asian models. We report qualitative research results which show that Asian consumers’ beauty typologies differ from Western consumers’ typologies and are mostly based on models’ facial characteristics. We identified 10 beauty types for classifying Asian advertising models, of which seven are newly established. The subsequent quantitative study shows that eight of these types are either sexually oriented (international beauty, Korean beauty, sexy, cool) or aesthetic (pretty, natural, sweet, local beauty). Furthermore, we find that cosmetic surgery procedures lead to respondents perceiving the model as displaying more sexually oriented beauty types. We discuss the implications of these findings for advertising effectiveness in Asian contexts, and for academic and societal relevance.
      Citation: International Journal of Market Research
      PubDate: 2022-02-15T01:37:39Z
      DOI: 10.1177/14707853211055054
       
  • Acceptance and coverage of fast invitation methods to in-the-moment
           surveys

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      Authors: Carlos Ochoa, Melanie Revilla
      First page: 565
      Abstract: International Journal of Market Research, Ahead of Print.
      When asking survey participants about past events, respondents might not properly recall the requested information. Surveying participants right when an event of interest occurs should reduce these recall errors.Such “in-the-moment surveys” are used nowadays but only in very specific occasions. Online panels that ask their members to share their online behaviors (metered panels) offer a new opportunity to use in-the-moment surveys whenever an online event of interest is detected.Previous research shows that the willingness to participate in in-the-moment surveys is notably high in metered panels, but even panellists willing to participate may fail to do so if they do not see the invitation in time. Very little is known about how participants perceive the different invitation methods available.A survey of members of a metered panel in Spain reveals that invitation methods deployed on smartphones get higher levels of acceptance and coverage, and are perceived as fastest. Moreover, offering several invitation methods on different devices would maximize the opportunities to participate in time, making them more feasible.
      Citation: International Journal of Market Research
      PubDate: 2022-04-15T05:50:45Z
      DOI: 10.1177/14707853221085204
       
  • A Question of Gender: Gender classification in international research

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      Authors: Trixie Cartwright, Clive Nancarrow
      First page: 575
      Abstract: International Journal of Market Research, Ahead of Print.
      The research community acknowledges that in many countries and cultures there is greater recognition of the diversity of genders with which people identify. In this paper we define and discuss the categories of “sex”, “gender” and related categories and how research participants might identify themselves within these categories. We discuss methods researchers use to classify participants. We examine in depth the principal method the research community uses, namely “asking questions”, but we also cover techniques based on observation. We evaluate the possible formats of questions – the introductory question posed, the response options, and, where appropriate, offer suggestions. We note the implications for international research, especially in countries where diversity and associated inclusivity are not yet recognised. The need for research in different cultures is recommended. We note the consequences and implications of adopting or not adopting questions that recognise diversity.
      Citation: International Journal of Market Research
      PubDate: 2022-06-29T09:04:32Z
      DOI: 10.1177/14707853221108663
       
  • Who Is Willing to Use Audio and Voice Inputs in Smartphone Surveys, and
           Why'

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      Authors: Timo Lenzner, Jan Karem Höhne
      First page: 594
      Abstract: International Journal of Market Research, Ahead of Print.
      The ever-growing number of respondents completing web surveys via smartphones is paving the way for leveraging technological advances to improve respondents’ survey experience and, in turn, the quality of their answers. Smartphone surveys enable researchers to incorporate audio and voice features into web surveys, that is, having questions read aloud to respondents using pre-recorded audio files and collecting voice answers via the smartphone’s microphone. Moving from written to audio and voice communication channels might be associated with several benefits, such as humanizing the communication process between researchers and respondents. However, little is known about respondents’ willingness to undergo this change in communication channels. Replicating and extending earlier research, we examine the extent to which respondents are willing to use audio and voice channels in web surveys, the reasons for their (non)willingness, and respondent characteristics associated with (non)willingness. The results of a web survey conducted in a nonprobability online panel in Germany (N = 2146) reveal that more than 50% of respondents would be willing to have the questions read aloud (audio channel) and about 40% would also be willing to give answers via voice input (voice channel). While respondents mostly name a general openness to new technologies for their willingness, they mostly name preference for written communication for their nonwillingness. Finally, audio and voice channels in smartphone surveys appeal primarily to frequent and competent smartphone users as well as younger and tech-savvy respondents.
      Citation: International Journal of Market Research
      PubDate: 2022-05-17T10:54:02Z
      DOI: 10.1177/14707853221084213
       
  • Using Natural Language Processing to Identify Effective Influencers

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      Authors: Xing Fang, Tianfu Wang
      First page: 611
      Abstract: International Journal of Market Research, Ahead of Print.
      Identifying the right influencers for brands is often the starting point for a successful influencer campaign. However, influencer identification is understudied, and most previous studies have only discussed visible characteristics of influencers and their social networks, overlooking content-based metrics. Combining interdisciplinary theories and techniques from marketing, linguistics, and computer science, we propose a data-driven automated text analysis framework to identify characteristics of effective influencers using influencer posts. Specifically, we propose a model that incorporates influencer personality traits captured by natural language processing, accounting for traditional covariates, such as network structure and follower engagement. In addition, we use a dataset that attributes influencer social media activities to customer purchases to address fake engagement and showcase our automated textual analysis. The proposed framework can help marketers develop influencer profiles and predict optimal influencers for their campaigns.
      Citation: International Journal of Market Research
      PubDate: 2022-05-11T02:35:58Z
      DOI: 10.1177/14707853221101565
       
  • Consumer preference structure of online privacy concerns in an IoT
           environment

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      Authors: Woojae Kim, Yuri Park, Jungwoo Shin, Manseok Jo
      First page: 630
      Abstract: International Journal of Market Research, Ahead of Print.
      Due to the development of the Internet of Things (IoT) and IoT environments, various concerns have been raised regarding personal information infringement and leakage. To establish a policy for addressing this issue, it is essential to estimate the damage caused by personal information infringement and leakage and decide upon an appropriate policy direction that reflects consumer’s value of their personal information. Therefore, we first estimated how much consumers value each type of personal information using contingent valuation method and assigning a monetary value to each information type. Second, we analyzed consumers’ preference for conditions in which they will provide personal information. A conjoint analysis was used to discover consumer preference concerning the various attributes of the conditions and a mixed logit model was used for the empirical analysis. The results of the analysis show that consumers valued personal information related to private life the most, at approximately USD 110 on average. We also found that demographic variables such as gender and income level affect personal information values. The results of the attributes required to provide personal information analysis found that opt-in was preferred to opt-out and that consumers preferred having optimal authority to control their personal information, rather than whole authority. These results show that consumers are willing to provide their personal information when an adequate reward is given. Therefore, formulating policy direction to establish a confidential market for trading personal information rather than unconditional personal information protection is required.
      Citation: International Journal of Market Research
      PubDate: 2022-03-29T04:25:56Z
      DOI: 10.1177/14707853221080067
       
  • Market Segmentation of Online Reviews: A Network Analysis Approach

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      Authors: Hui-Ju Wang
      First page: 652
      Abstract: International Journal of Market Research, Ahead of Print.
      With the popularity of online reviews, brand managers have opportunities to segment their markets according to the reviews of their products or services by customers. Nonetheless, it has been suggested that traditional market segmentation methods are ineffective at analyzing online review data due to the complex features and large amount of this type of data; specifically, traditional methods fail to take into account the networked nature of interactive relationships among reviewers and brands across online review websites. Accordingly, this study proposes a network analysis approach for the market segmentation of online reviews. Collecting samples from Yelp via web scraping, this study demonstrates how network analysis techniques can be utilized to segment online reviewers through a four-step process. The results reveal the core and peripheral market segments, as well as the bridge segment in the core. The study contributes to offering marketing researchers and managers a new network structure analysis approach for the market segmentation of online reviews.
      Citation: International Journal of Market Research
      PubDate: 2022-01-04T10:45:05Z
      DOI: 10.1177/14707853211059076
       
  • Comparative Analysis of Attributions From Customer Experiences and
           Journeys

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      Authors: David A. Gilliam, Teresa Preston, Casey C. Rockwell, John R. Hall
      Pages: 672 - 698
      Abstract: International Journal of Market Research, Volume 64, Issue 5, Page 672-698, September 2022.
      This study developed a Comparative Analysis of Attributions method to explore sensemaking after customer experiences and journeys. Its foundation rests on the constructs of attribution theory by which actors make sense of the causes of events. Customer experiences and journeys involve both consumers and the firm’s employees interacting at touchpoints in a value co-creation attempt; each actor then makes attributions about the exchange experience. The qualitative inquiry compared attributions across actors after value co-creation (co-destruction) in a banking services context during the financial crisis. This showed how misunderstandings of one’s own and others’ sensemaking attributions can affect value co-creation during the customer experience and journey. The analysis thus offered managerially actionable information. Marketers may then improve internal and external messaging, touchpoints, and operations for better customer journeys. Academic researchers may use this method to map the continuum of attributional biases, errors, and styles across actors, industries, and contexts.
      Citation: International Journal of Market Research
      PubDate: 2021-12-28T09:14:06Z
      DOI: 10.1177/14707853211060262
      Issue No: Vol. 64, No. 5 (2021)
       
  • Special Issue of International Journal of Market Research: ‘Market
           Research & Insight: Past, Present and Future’

    • Free pre-print version: Loading...

      Abstract: International Journal of Market Research, Ahead of Print.

      Citation: International Journal of Market Research
      PubDate: 2020-07-02T10:29:38Z
      DOI: 10.1177/1470785320941417
       
 
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