Subjects -> ADVERTISING AND PUBLIC RELATIONS (Total: 23 journals)
Showing 1 - 8 of 8 Journals sorted alphabetically
Advertising & Society Review     Full-text available via subscription   (Followers: 15)
Book History     Full-text available via subscription   (Followers: 177)
Design and Culture : The Journal of the Design Studies Forum     Hybrid Journal   (Followers: 28)
Foundations and Trends® in Marketing     Full-text available via subscription   (Followers: 16)
International Journal of Advertising     Full-text available via subscription   (Followers: 32)
International Journal of Complexity in Leadership and Management     Hybrid Journal   (Followers: 28)
International Journal of Market Research     Full-text available via subscription   (Followers: 19)
Journal of Advertising     Hybrid Journal   (Followers: 30)
Journal of Advertising Research     Full-text available via subscription   (Followers: 27)
Journal of Consumer Psychology     Hybrid Journal   (Followers: 41)
Journal of Current Issues & Research in Advertising     Hybrid Journal   (Followers: 10)
Journal of Interactive Advertising     Open Access   (Followers: 14)
Journal of International Marketing     Full-text available via subscription   (Followers: 32)
Journal of Marketing     Full-text available via subscription   (Followers: 54)
Journal of Marketing Research     Full-text available via subscription   (Followers: 71)
Journal of Public Policy & Marketing     Full-text available via subscription   (Followers: 17)
Journal of Public Relations Research     Hybrid Journal   (Followers: 22)
Opinião Pública     Open Access  
Place Branding and Public Diplomacy     Hybrid Journal   (Followers: 5)
Public Relations Inquiry     Hybrid Journal   (Followers: 8)
Public Relations Review     Hybrid Journal   (Followers: 20)
RAE-eletrônica     Open Access   (Followers: 2)
Revista Internacional de Relaciones Públicas     Open Access   (Followers: 1)
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International Journal of Market Research
Journal Prestige (SJR): 0.393
Citation Impact (citeScore): 1
Number of Followers: 19  
  Full-text available via subscription Subscription journal
ISSN (Print) 0025-3618
Published by Sage Publications Homepage  [1089 journals]
  • The future isn’t what it used to be: Research in the age of evidence
    • Authors: Daniel Nunan
      Pages: 259 - 261
      Abstract: International Journal of Market Research, Volume 62, Issue 3, Page 259-261, May 2020.

      Citation: International Journal of Market Research
      PubDate: 2020-05-20T08:14:12Z
      DOI: 10.1177/1470785320923782
      Issue No: Vol. 62, No. 3 (2020)
  • Toward auto-netnography in consumer studies
    • Authors: Philip H Coombes, Scott Jones
      Abstract: International Journal of Market Research, Ahead of Print.
      The purpose of this article is to offer an argument for a wider acceptance and adoption of online auto-ethnography—or auto-netnography as an alternative social media research method to online ethnography—or netnography—when undertaking consumer research. As an online research method, netnographies have attracted increasing attention from researchers in various inter-disciplinary studies during recent years, but the method is still not considered mainstream. While the proliferation of online communities using various social media platforms is increasingly supporting consumers when making product/service choices, the adoption of netnographies appears to leave room for an extension toward the consideration by consumer researchers of how auto-netnography could highlight these researchers’ own personal experiences in online communities. Auto-netnography allows the researcher to capture their own online experiences as a consumer would through social observation, reflexive note-taking, and other forms of data. Contemporary technology can also provide a more innovative approach with artificial intelligence offering an alternative dimension. We contend there is a need for consumer researchers—both academic and practitioner—to further reflect on and discuss the deployment of auto-netnography to contribute to further exploration of online communities through the qualitative lens.
      Citation: International Journal of Market Research
      PubDate: 2020-05-28T09:38:21Z
      DOI: 10.1177/1470785320923502
  • Sarcasm detection using machine learning algorithms in Twitter: A
           systematic review
    • Authors: Samer Muthana Sarsam, Hosam Al-Samarraie, Ahmed Ibrahim Alzahrani, Bianca Wright
      Abstract: International Journal of Market Research, Ahead of Print.
      Recognizing both literal and figurative meanings is crucial to understanding users’ opinions on various topics or events in social media. Detecting the sarcastic posts on social media has received much attention recently, particularly because sarcastic comments in the form of tweets often include positive words that represent negative or undesirable characteristics. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement was used to understand the application of different machine learning algorithms for sarcasm detection in Twitter. Extensive database searching led to the inclusion of 31 studies classified into two groups: Adapted Machine Learning Algorithms (AMLA) and Customized Machine Learning Algorithms (CMLA). The review results revealed that Support Vector Machine (SVM) was the best and the most commonly used AMLA for sarcasm detection in Twitter. In addition, combining Convolutional Neural Network (CNN) and SVM was found to offer a high prediction accuracy. Moreover, our result showed that using lexical, pragmatic, frequency, and part-of-speech tagging can contribute to the performance of SVM, whereas both lexical and personal features can enhance the performance of CNN-SVM. This work also addressed the main challenges faced by prior scholars when predicting sarcastic tweets. Such knowledge can be useful for future researchers or machine learning developers to consider the major issues of classifying sarcastic posts in social media.
      Citation: International Journal of Market Research
      PubDate: 2020-05-28T09:30:18Z
      DOI: 10.1177/1470785320921779
  • The role of shopping mission in retail customer segmentation
    • Authors: Ondřej Sokol, Vladimír Holý
      Abstract: International Journal of Market Research, Ahead of Print.
      In retailing, it is important to understand customer behavior and determine customer value. A useful tool to achieve such goals is the cluster analysis of transaction data. Typically, a customer segmentation is based on the recency, frequency, and monetary value of shopping or the structure of purchased products. We take a different approach and base our segmentation on the shopping mission—reason why a customer visits the shop. Shopping missions include focused purchases of specific product categories and general purchases of various sizes. In an application to a Czech drugstore chain, we show that the proposed segmentation brings unique information about customers and should be used alongside the traditional methods.
      Citation: International Journal of Market Research
      PubDate: 2020-05-28T09:20:37Z
      DOI: 10.1177/1470785320921011
  • Can firm innovativeness affect performance' The role of external
    • Authors: Yi Li, Gang Li, Ying Zhang, Jinpeng Xu
      Abstract: International Journal of Market Research, Ahead of Print.
      This research attempts to complement ongoing discussions on the effects of firm innovativeness on performance and explain the role of external involvement in the relationship between firm innovativeness and performance in B2B settings. More importantly, we investigate the effect of supplier involvement, customer involvement, and the interaction of both in the process of innovativeness, and explain how customer involvement and supplier involvement take effects in B2B settings. Using the perspective of organizational information processing theory, we apply the hierarchical regression to examine the moderation effects of external involvement on the relationship between firm innovativeness and performance. Findings show that in B2B settings customer involvement strengthens the positive effects of firm innovativeness on performance, whereas supplier involvement weakens the positive effects of firm innovativeness on performance. We also find that the interaction of customer involvement and supplier involvement weakens the positive effects of firm innovativeness on performance in B2B settings. These conclusions contribute to the knowledge of external involvement and firm innovativeness in B2B settings, and provide theoretical contributions and managerial insights for both academics and practitioners.
      Citation: International Journal of Market Research
      PubDate: 2020-05-01T05:37:40Z
      DOI: 10.1177/1470785320915408
  • Examining manufacturer concentration metrics in consumer packaged goods
    • Authors: Arry Tanusondjaja, Steven Dunn, Christopher Miari
      Abstract: International Journal of Market Research, Ahead of Print.
      The research compares three different market concentration metrics (Concentration Ratio, Herfindahl–Hirschman Index, and Gini Coefficient) over the share of revenue (market share) and their application in consumer packaged goods markets. The metrics are further extended into measuring the share of the ownership of brands and stock-keeping units, to provide further insights into the nature of market competition. These metrics are reported across 16 categories between 2010 and 2014 from the United Kingdom. The Concentration Ratio results show an average market share of 88% going to the top 10 manufacturers, despite accounting for 19% of all manufacturers on average. Similarly, Gini Coefficients show large disparities in revenue shares across manufacturers (0.85), while the Herfindahl–Hirschman Index classifies most markets as being moderately concentrated. The research highlights the advantage of observing multiple metrics in measuring market concentration, as a single metric is unlikely to convey the nature of market competition. The results show Concentration Ratio for the top 4 or top 10 to be good proxies for Herfindahl–Hirschman Index, while the top 10% or top 20% market concentration can be used as proxies for Gini Coefficients due to their strong positive correlations. Rather than applying onerous Herfindahl–Hirschman Index and Gini Coefficient calculations and requiring the details for all competing entities as required, the result enables researchers and industry practitioners to diagnose the state of the competition by simply calculating the aggregate market share of the top N and the top N% manufacturers.
      Citation: International Journal of Market Research
      PubDate: 2020-03-23T11:51:58Z
      DOI: 10.1177/1470785320903978
  • The priming effect of competitor product information on advertising
    • Authors: Mark Brown, Roop Bhadury, Nitin Bansal, Ellen Bloxsome
      Abstract: International Journal of Market Research, Ahead of Print.
      This article examines the manner in which advertising creativity may be influenced by “near” primes in the form of competitor product information that is presented at the briefing stage of engagement with a client. Drawing on the associative theory of creativity and spreading activation theory, this study explores the impact of near primes on both the originality and appropriateness of advertising output and highlights the process mechanism by which it affects overall creativity. Results of a between-subjects experiment indicate that exposing individuals to near primes results in a fixation effect that negatively influences originality but positively influences appropriateness. Associative cognitive flexibility, as measured by the number of “far” analogies accessed during ideation, is shown to be a strong mediator of the relationship between near prime exposure on creativity. Implications for theory and practice are discussed.
      Citation: International Journal of Market Research
      PubDate: 2020-03-16T12:14:04Z
      DOI: 10.1177/1470785320910301
  • Over-time variation in individual’s customer satisfaction scores
    • Authors: John Dawes, Lara Stocchi, Francesca Dall’Olmo-Riley
      First page: 262
      Abstract: International Journal of Market Research, Ahead of Print.
      Customer satisfaction is a commonly used business performance metric. Despite the widespread use of satisfaction surveys, little is known about how stable individual’s satisfaction scores are. If individual’s scores show instability, this has implications for market research design and managerial actions. To investigate the stability of satisfaction scores, this study uses data from a two-wave satisfaction survey in which the same respondents were interviewed 6 weeks apart. The respondents had no recorded purchase with the retailer between survey waves. The main finding is that only 49% of respondents give exactly the same satisfaction score on a 1–7 scale when re-surveyed. After aggregating the results into three simple categories of dissatisfied, neutral to somewhat satisfied, and satisfied, the proportions who stay in the same category from one survey to the next are 44%, 57%, and 82%, respectively, despite the overall average score for the sample staying the same. The changes in scores are a manifestation of regression to the mean, whereby those who give a low or a high score the first time tend to regress up or down toward the overall average score the next time. The main management implications are (1) interventions aimed at low or high-satisfaction customer groups need to take regression to the mean into account; (2) attempts to relate individual’s satisfaction scores to future behavior (e.g., loyalty, brand switching) should use scores averaged over two surveys; and (3) the oft-quoted belief that dissatisfied customers will tell more people compared with satisfied customers is less tenable, given that low-satisfaction scores tend to regress upward more than high scores regress down.
      Citation: International Journal of Market Research
      PubDate: 2020-03-03T10:17:53Z
      DOI: 10.1177/1470785320907538
  • Beyond a tandem analysis of SEM and PROCESS: Use of PLS-SEM for mediation
    • Authors: Marko Sarstedt, Joseph F Hair, Christian Nitzl, Christian M Ringle, Matthew C Howard
      First page: 288
      Abstract: International Journal of Market Research, Ahead of Print.
      Mediation and conditional process analyses have become popular approaches for examining the mechanisms by which effects operate and the factors that influence them. To estimate mediation models, researchers often augment their structural equation modeling (SEM) analyses with additional regression analyses using the PROCESS macro. This duality is surprising considering that research has long acknowledged the limitations of regression analyses when estimating models with latent variables. In this article, we argue that much of the confusion regarding SEM’s efficacy for mediation analyses results from a singular focus on factor-based methods, and there is no need for a tandem use of SEM and PROCESS. Specifically, we highlight that composite-based SEM methods overcome the limitations of both regression and factor-based SEM analyses when estimating even highly complex mediation models. We further conclude that composite-based SEM methods such as partial least squares (PLS-SEM) are the preferred and superior approach when estimating mediation and conditional process models, and that the PROCESS approach is not needed when mediation is examined with PLS-SEM.
      Citation: International Journal of Market Research
      PubDate: 2020-04-27T05:45:45Z
      DOI: 10.1177/1470785320915686
  • Demystifying engagement: Chinese advertising practitioners’
    • Authors: Huan Chen, Rang Wang, Xuan Liang
      First page: 314
      Abstract: International Journal of Market Research, Ahead of Print.
      A qualitative study was conducted to explore Chinese advertising practitioners’ perceptions and interpretations of engagement in the digital era. Twenty-three in-depth interviews were conducted to collect data. Findings revealed that Chinese advertising practitioners emphasize interactive experience in defining engagement, which acknowledges multiple dimensions of engagement; they believe that the execution of engagement should emphasize content creation, media selection, and proper interaction; they tend to discuss engagement in a very holistic way, while they consider the effort versus effect dual-approach as an appropriate criterion to measure engagement, confusions, and discrepancies exist surrounding the engagement measurement among Chinese advertising practitioners. The current study offers insightful implications for the conceptualization of engagement in different cultural contexts as well as on how to bridge the perceptional gap between academia and industry regarding the execution of engagement.
      Citation: International Journal of Market Research
      PubDate: 2020-02-11T09:51:12Z
      DOI: 10.1177/1470785320905273
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