20 datasets found
  1. r

    Journal of Business Research Acceptance Rate - ResearchHelpDesk

    • researchhelpdesk.org
    Updated Feb 15, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Research Help Desk (2022). Journal of Business Research Acceptance Rate - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/acceptance-rate/367/journal-of-business-research
    Explore at:
    Dataset updated
    Feb 15, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    Journal of Business Research Acceptance Rate - ResearchHelpDesk - The Journal of Business Research applies theory developed from business research to actual business situations. Recognizing the intricate relationships between the many areas of business activity, JBR examines a wide variety of business decisions, processes and activities within the actual business setting. Theoretical and empirical advances in buyer behavior, finance, organizational theory and behavior, marketing, risk and insurance and international business are evaluated on a regular basis. Published for executives, researchers and scholars alike, the Journal aids the application of empirical research to practical situations and theoretical findings to the reality of the business world. Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services. Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center

  2. r

    Arts and the Market Acceptance Rate - ResearchHelpDesk

    • researchhelpdesk.org
    Updated Feb 15, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Research Help Desk (2022). Arts and the Market Acceptance Rate - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/acceptance-rate/424/arts-and-the-market
    Explore at:
    Dataset updated
    Feb 15, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    Arts and the Market Acceptance Rate - ResearchHelpDesk - Arts and the Market (AAM) is dedicated to publishing high-quality and original contemporary research addressing issues related to the intersection of arts and the market and audience research. The journal embraces the growing number of talented scholars working in this increasingly inter-disciplinary and international area. It aims to develop and challenge established practices and orthodoxies in this rapidly emerging field and strongly encourages creativity in the development of theory and practice. Arts and the Market (AAM) welcomes both theoretically and empirically grounded submissions from across the arts, humanities and social sciences, and is interested in both qualitative and quantitative approaches to research. The journal adopts a broad view of the arts, including all sectors of the arts and creative industries, including visual arts and crafts, museums, performing arts, festivals, music, film, cinema, and literature. It aims to embrace the different disciplinary traditions and perspectives that can inform the field, not least Marketing, Psychology, Sociology, Statistics, Museology, Musicology, Audience Studies, Cultural Policy Studies, Business, and Management. Thus, the journal facilitates an understanding of the various artistic, cultural, social, sociological, commercial and technological practices and discourses of production, performance, intermediation, and consumption, which shape the arts sector and its related market(s). Papers on any aspect of art marketing and audience research are welcome. The following list provides a breakdown of the common (but by no means exclusive) areas of inquiry covered by the journal: Strategic arts marketing Marketing research in the arts Audience engagement Consumer/audience behavior Co-production and co-creation in the arts Participatory practice Cultural value and the impact of the arts Fundraising, patronage, and sponsorship of the arts and culture Product and brand management The role of leadership in arts marketing and audience engagement Corporate social responsibility PR in the arts and culture Corporate communication strategies Cultural entrepreneurship Creative and cultural industries Creativity and innovation Intercultural marketing in the arts Cultural policy regarding marketing, audience development, engagement and research Formerly published as Arts Marketing: An International Journal, the journal continues to provide a home for cutting edge, contemporary, high quality academic and practitioner research on arts and the market. The new title retains the inclusive aims of research on arts and the market and responds to the growing global interest in audience policy and research, most notably around aspects of audience development, engagement, and enrichment, including notions of participation, active spectatorship, co-production, and co-creation. This journal is abstracted and indexed by: ABI Inform British Library Cabell's Directory of Publishing Opportunities in Management and Marketing EBSCO Emerging Soucres Citation Index (Clarivate Analytics) ReadCube Discover Summon

  3. Data Phase 3 Experiment.sav

    • figshare.com
    bin
    Updated Jul 26, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Sophie Boerman (2023). Data Phase 3 Experiment.sav [Dataset]. http://doi.org/10.6084/m9.figshare.23775711.v1
    Explore at:
    binAvailable download formats
    Dataset updated
    Jul 26, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Sophie Boerman
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Dataset of preregistered experiment https://doi.org/10.17605/OSF.IO/Q5UTN

    Published in Boerman, S.C., Rozendaal, E., & Van Reijmersdal, E.A. (2023). The development and testing of a pictogram signaling advertising in online videos. International Journal of Advertising

  4. c

    Data from: Dataset for 'How brands highlight country of origin in magazine...

    • datacatalogue.cessda.eu
    • ssh.datastations.nl
    Updated Apr 11, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    J.M.A. Hornikx; J. van den Heuvel; W.F.J. van Meurs; A.J.M. Janssen (2023). Dataset for 'How brands highlight country of origin in magazine advertising: A content analysis' [Dataset]. http://doi.org/10.17026/dans-ztf-w83f
    Explore at:
    Dataset updated
    Apr 11, 2023
    Dataset provided by
    Radboud University
    Authors
    J.M.A. Hornikx; J. van den Heuvel; W.F.J. van Meurs; A.J.M. Janssen
    Description

    Dataset for content analysis published in "Hornikx, J., Meurs, F. van, Janssen, A., & Heuvel, J. van den (2020). How brands highlight country of origin in magazine advertising: A content analysis. Journal of Global Marketing, 33 (1), 34-45."

    *Abstract (taken from publication)
    Aichner (2014) proposes a classification of ways in which brands communicate their country of origin (COO). The current, exploratory study is the first to empirically investigate the frequency with which brands employ such COO markers in magazine advertisements. An analysis of about 750 ads from the British, Dutch, and Spanish editions of Cosmopolitan showed that the prototypical ‘made in’ marker was rarely used, and that ‘COO embedded in company name’ and ‘use of COO language’ were most frequently employed. In all, 36% of the total number of ads contained at least one COO marker, underlining the importance of the COO construct.

    *Methodology (taken from publication)

    Sample
    The use of COO markers in advertising was examined in print advertisements from three different countries to increase the robustness of the findings. Given the exploratory nature of this study, two practical selection criteria guided our country choice: the three countries included both smaller and larger countries in Europe, and they represented languages that the team was familiar with in order to reliably code the advertisements on the relevant variables. The three European countries selected were the Netherlands, Spain, and the United Kingdom. The dataset for the UK was discarded for testing H1 about the use of English as a foreign language, as will be explained in more detail in the coding procedure.

    The magazine Cosmopolitan was chosen as the source of advertisements. The choice for one specific magazine title reduces the generalizability of the findings (i.e., limited to the corresponding products and target consumers), but this magazine was chosen intentionally because an informal analysis suggested that it carried advertising for a large number of product categories that are considered ethnic products, such as cosmetics, watches, and shoes (Usunier & Cestre, 2007). This suggestion was corroborated in the main analysis: the majority of the ads in the corpus referred to a product that Usunier and Cestre (2007) classify as ethnic products. Table 2 provides a description of the product categories and brands referred to in the advertisements. Ethnic products have a prototypical COO in the minds of consumers (e.g., cosmetics – France), which makes it likely that the COOs are highlighted through the use of COO markers.

    Cosmopolitan is an international magazine that has different local editions in the three countries. The magazine, which is targeted at younger women (18–35 years old), reaches more than three million young women per month through its online, social and print platforms in the Netherlands (Hearst Netherlands, 2016), has about 517,000 readers per month in Spain (PrNoticias, 2016) and about 1.18 million readers per month in the UK (Hearst Magazine U.K., 2016).

    The sample consisted of all advertisements from all monthly issues that appeared in 2016 in the three countries. This whole-year cluster was selected so as to prevent potential seasonal influences (Neuendorf, 2002). In total, the corpus consisted of 745 advertisements, of which 111 were from the Dutch, 367 from the British and 267 from the Spanish Cosmopolitan. Two categories of ads were excluded in the selection process: (1) advertisements for subscription to Cosmopolitan itself, and (2) advertisements that were identical to ads that had appeared in another issue in one of the three countries. As a result, each advertisement was unique.

    Coding procedure
    For all advertisements, four variables were coded: product type, presence of types of COO markers, COO referred to, and the use of English as a COO marker. In the first place, product type was assessed by the two coders. Coders classified each product to one of the 32 product types. In order to assess the reliability of the codings, ten per cent of the ads were independently coded by a second coder. The interrater reliability of the variable product category was good (κ = .97, p < .000, 97.33% agreement between both coders). Table 2 lists the most frequent product types; the label ‘other’ covers 17 types of product, including charity, education, and furniture.

    In the second place, it was recorded whether one or more of the COO markers occurred in a given ad. In the third place, if a marker was identified, it was assessed to which COO the markers referred. Table 1 lists the nine possible COO markers defined by Aichner (2014) and the COOs referred to, with examples taken from the current content analysis. The interrater reliability for the type of COO marker was very good (κ = .80, p < .000, 96.30% agreement between the coders), and the interrater reliability for COO referred to was...

  5. Phase 2 Survey

    • figshare.com
    bin
    Updated Jul 26, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Sophie Boerman (2023). Phase 2 Survey [Dataset]. http://doi.org/10.6084/m9.figshare.23775648.v1
    Explore at:
    binAvailable download formats
    Dataset updated
    Jul 26, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Sophie Boerman
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Dataset of survey published in Boerman, S.C., Rozendaal, E., & Van Reijmersdal, E.A. (2023). The development and testing of a pictogram signaling advertising in online videos. International Journal of Advertising

  6. Data from: Measuring Marketing Campaign Effectiveness: Methodologies and...

    • osf.io
    Updated Aug 13, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Yoesoep Rachmad (2024). Measuring Marketing Campaign Effectiveness: Methodologies and Case Studies [Dataset]. http://doi.org/10.17605/OSF.IO/W6DPX
    Explore at:
    Dataset updated
    Aug 13, 2024
    Dataset provided by
    Center for Open Sciencehttps://cos.io/
    Authors
    Yoesoep Rachmad
    Description

    Rachmad, Yoesoep Edhie. 2020. Measuring Marketing Campaign Effectiveness: Methodologies and Case Studies. International Journal of Campaign Effectiveness, Volume 18, No 1. https://doi.org/10.17605/osf.io/w6dpx

    In the 2020 research publication "Measuring Marketing Campaign Effectiveness: Methodologies and Case Studies," featured in the "International Journal of Campaign Effectiveness," Volume 18, Issue 1, Yoesoep Edhie Rachmad explores the diverse methodologies used to assess the impact and effectiveness of marketing campaigns. The study also includes case studies that demonstrate these methodologies in action. Background: Situated within the broader context of marketing performance analysis, the research addresses the critical need for businesses to quantify the success of their marketing initiatives. As companies invest heavily in diverse marketing strategies, accurately measuring their effectiveness becomes essential for justifying expenditures and optimizing future campaigns. Definition and Basic Concepts: The study defines marketing campaign effectiveness as the degree to which marketing activities meet predefined objectives, such as increasing brand awareness, generating leads, or boosting sales. The research emphasizes the importance of selecting appropriate metrics and methodologies that align with the campaign's goals. Phenomenon: The phenomenon driving this research is the increasingly complex nature of marketing campaigns, which often span multiple channels and utilize various digital and traditional media. This complexity necessitates sophisticated measurement techniques that can provide a holistic view of campaign performance. Problem Formulation: The main challenge explored in the study is identifying the most effective methodologies for measuring the impact of marketing campaigns across different channels and media types. The research aims to determine which methods provide the most reliable and actionable insights. Research Objectives: The goal of the research is to evaluate and compare various methodologies for measuring marketing campaign effectiveness, and to illustrate these methodologies through real-world case studies. Qualitative Research Methodology: The methodology includes qualitative analyses of case studies from businesses that have implemented innovative measurement strategies. It also features expert interviews with marketing professionals who provide insights into the practical challenges and successes of different measurement approaches. Criteria and Respondent Selection: Respondents were selected based on their involvement in designing, implementing, or analyzing marketing campaigns with noted effectiveness. The study features 12 marketing professionals from a range of industries, including digital marketing, consumer goods, and B2B services. Research Indicators: Indicators of successful marketing campaign measurement include the accuracy of performance tracking, the ability to attribute results to specific activities, and the generation of insights that lead to tangible improvements in future campaigns. Operational Variables: These variables consist of the types of metrics used (e.g., ROI, conversion rates, engagement metrics), the tools and technologies employed for data collection and analysis, and the integration of data across various platforms. Determining Factors: Key factors identified include the clarity of campaign objectives, the alignment of measurement methods with these objectives, and the adaptability of measurement strategies to changing market conditions and technologies. Research Findings: The findings highlight that no single methodology fits all types of campaigns; instead, effectiveness measurement should be tailored to the specific goals and media of each campaign. The case studies illustrate how different companies successfully adapted measurement strategies to their unique needs. Conclusion and Recommendations: The study concludes that measuring marketing campaign effectiveness requires a combination of quantitative and qualitative methods. Recommendations for businesses include developing clear campaign objectives, selecting appropriate metrics, and continually refining measurement approaches based on past performance and evolving marketing landscapes. This research provides a comprehensive overview of methodologies for measuring marketing campaign effectiveness, offering valuable guidance for marketers seeking to enhance the accountability and performance of their campaigns.

  7. B

    Brazil Imports: Sitc Basic Heading: fob: other Newspapers, Journals &...

    • ceicdata.com
    Updated Feb 7, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2025). Brazil Imports: Sitc Basic Heading: fob: other Newspapers, Journals & Periodicals, Whether,Not Illustrated,Containing Advertising Material [Dataset]. https://www.ceicdata.com/en/brazil/basic-heading-section-08-imports-value/imports-sitc-basic-heading-fob-other-newspapers-journals--periodicals-whethernot-illustratedcontaining-advertising-material
    Explore at:
    Dataset updated
    Feb 7, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    Brazil
    Description

    Brazil Imports: Sitc Basic Heading: fob: other Newspapers, Journals & Periodicals, Whether,Not Illustrated,Containing Advertising Material data was reported at 0.013 USD mn in Feb 2025. This records a decrease from the previous number of 0.019 USD mn for Jan 2025. Brazil Imports: Sitc Basic Heading: fob: other Newspapers, Journals & Periodicals, Whether,Not Illustrated,Containing Advertising Material data is updated monthly, averaging 0.576 USD mn from Jan 1997 (Median) to Feb 2025, with 338 observations. The data reached an all-time high of 12.467 USD mn in Nov 1997 and a record low of 0.011 USD mn in Jul 2024. Brazil Imports: Sitc Basic Heading: fob: other Newspapers, Journals & Periodicals, Whether,Not Illustrated,Containing Advertising Material data remains active status in CEIC and is reported by Special Secretariat for Foreign Trade and International Affairs. The data is categorized under Brazil Premium Database’s Foreign Trade – Table BR.SITC: Basic Heading: Section 08: Imports: Value.

  8. Brazil Exports: Sitc Basic Heading: Vol: Newspapers, Journals & Periodicals,...

    • ceicdata.com
    Updated Feb 7, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2024). Brazil Exports: Sitc Basic Heading: Vol: Newspapers, Journals & Periodicals, Whether,Not Illustrated,Containing Advertising Material Appearing At Least Four Times A Week [Dataset]. https://www.ceicdata.com/en/brazil/basic-heading-section-08-exports-volume/exports-sitc-basic-heading-vol-newspapers-journals--periodicals-whethernot-illustratedcontaining-advertising-material-appearing-at-least-four-times-a-week
    Explore at:
    Dataset updated
    Feb 7, 2024
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2021 - Sep 1, 2024
    Area covered
    Brazil
    Description

    Brazil Exports: Sitc Basic Heading: Vol: Newspapers, Journals & Periodicals, Whether,Not Illustrated,Containing Advertising Material Appearing At Least Four Times A Week data was reported at 549.000 kg in Sep 2024. This records a decrease from the previous number of 2,152.000 kg for Aug 2024. Brazil Exports: Sitc Basic Heading: Vol: Newspapers, Journals & Periodicals, Whether,Not Illustrated,Containing Advertising Material Appearing At Least Four Times A Week data is updated monthly, averaging 3,032.500 kg from Jan 1997 (Median) to Sep 2024, with 238 observations. The data reached an all-time high of 14,717.000 kg in Sep 2000 and a record low of 0.000 kg in Jun 2022. Brazil Exports: Sitc Basic Heading: Vol: Newspapers, Journals & Periodicals, Whether,Not Illustrated,Containing Advertising Material Appearing At Least Four Times A Week data remains active status in CEIC and is reported by Special Secretariat for Foreign Trade and International Affairs. The data is categorized under Brazil Premium Database’s Foreign Trade – Table BR.SITC: Basic Heading: Section 08: Exports: Volume.

  9. Malaysia Imports: Newspapers, Journals and Periodicals, Whether or Not...

    • ceicdata.com
    Updated Oct 6, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2023). Malaysia Imports: Newspapers, Journals and Periodicals, Whether or Not Illustrated or Containing Advertising Material [Dataset]. https://www.ceicdata.com/en/malaysia/imports-by-commodity-hs-4-value/imports-newspapers-journals-and-periodicals-whether-or-not-illustrated-or-containing-advertising-material
    Explore at:
    Dataset updated
    Oct 6, 2023
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    Malaysia
    Description

    Malaysia Imports: Newspapers, Journals and Periodicals, Whether or Not Illustrated or Containing Advertising Material data was reported at 0.299 MYR mn in Mar 2025. This records an increase from the previous number of 0.196 MYR mn for Feb 2025. Malaysia Imports: Newspapers, Journals and Periodicals, Whether or Not Illustrated or Containing Advertising Material data is updated monthly, averaging 2.340 MYR mn from Jan 2000 (Median) to Mar 2025, with 303 observations. The data reached an all-time high of 19.131 MYR mn in Jun 2008 and a record low of 0.132 MYR mn in Mar 2022. Malaysia Imports: Newspapers, Journals and Periodicals, Whether or Not Illustrated or Containing Advertising Material data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Malaysia – Table MY.DOS: Imports: by Commodity: HS 4: Value.

  10. o

    Data from: Brand Awareness and Loyalty Theory

    • osf.io
    Updated Oct 31, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Yoesoep Rachmad (2024). Brand Awareness and Loyalty Theory [Dataset]. http://doi.org/10.17605/OSF.IO/7SYQ8
    Explore at:
    Dataset updated
    Oct 31, 2024
    Dataset provided by
    Center For Open Science
    Authors
    Yoesoep Rachmad
    Description

    Rachmad, Yoesoep Edhie. 2023. Brand Awareness and Loyalty Theory. Sunshine Coast Beach Book Publishing, Special Edition 2023. https://doi.org/10.17605/osf.io/7syq8

    The Brand Awareness and Loyalty Theory, developed by Yoesoep Edhie Rachmad and published in his 2023 book "Sunshine Coast Beach Book Publishing, Special Edition," examines the interconnected dynamics between brand awareness and consumer loyalty, highlighting strategies for enhancing both to achieve long-term business success. Initiated in 2016, Rachmad’s research investigates the processes through which a brand can not only capture but also retain consumer attention in a saturated market. This theory was formulated against the backdrop of the digital marketing revolution, where consumers are inundated with choices and messages. Rachmad identifies that while brand awareness is the initial step towards attracting consumer interest, it is the cultivation of deep loyalty that ensures sustainable business growth. The Brand Awareness and Loyalty Theory posits that effective brand management must seamlessly integrate strategies for enhancing both awareness and loyalty. Brand awareness is the degree to which consumers are familiar with the qualities or image of a particular brand's goods or services. It serves as the foundation for developing brand loyalty, which refers to a consumer's consistent preference for one brand over all others, often reflected in repeated purchases and positive word-of-mouth. Rachmad concludes that the key to converting awareness into loyalty involves consistent and meaningful engagement with consumers. He stresses the importance of maintaining a strong, recognizable brand identity across all marketing channels and creating value that resonates with the target audience beyond the product or service itself. He suggests implementing personalized marketing strategies that address individual consumer needs and preferences, thereby deepening the emotional connection with the brand. Moreover, Rachmad emphasizes the role of customer service and quality assurance in reinforcing brand loyalty; consumers are more likely to remain loyal to a brand that consistently delivers high-quality experiences and resolves issues effectively. The theory also advises ongoing evaluation and adaptation of marketing strategies based on consumer feedback and market trends. This adaptability ensures that the brand remains relevant and continues to meet the evolving needs of its consumer base. Overall, the Brand Awareness and Loyalty Theory provides a comprehensive framework for businesses aiming to thrive in competitive environments. It highlights the necessity of not just attracting consumers through awareness but more importantly, retaining them through strategic loyalty-building initiatives. This approach ensures that brands not only survive but prosper by fostering lasting relationships with their customers.   Table of Contents Rachmad, Yoesoep Edhie. 2023. "Brand Awareness and Loyalty Theory." Sunshine Coast Beach Book Publishing, Special Edition. [DOI: https://doi.org/10.17605/osf.io/7syq8]

    Chapter 1: Introduction to Brand Awareness and Loyalty Understanding Brand Dynamics.......................3 The Role of Awareness in Consumer Choice...........19 Bridging the Gap Between Awareness and Loyalty.....35 Chapter 2: The Fundamentals of Brand Awareness Defining Brand Awareness and Its Levels............53 Building Awareness in a Saturated Market...........69 The Impact of Digital Marketing on Awareness.......85 Chapter 3: Strategies for Enhancing Brand Loyalty From Awareness to Commitment.....................103 Personalized Marketing for Deeper Engagement.....121 Creating Emotional Connections with Consumers....137 Chapter 4: Consistency in Brand Identity and Messaging Maintaining a Strong Brand Presence..............153 Navigating Multiple Channels Seamlessly..........171 The Power of a Unified Brand Voice...............189 Chapter 5: The Role of Customer Service and Quality Assurance Reinforcing Loyalty Through Service Excellence...207 Resolving Issues as Opportunities for Growth.....223 The Impact of Quality Assurance on Retention.....239 Chapter 6: Case Studies on Brand Awareness and Loyalty Success Learning from Leading Global Brands..............257 Small Brands Making a Big Impact.................275 Turning Challenges into Brand-Strengthening Moments...293 Chapter 7: Measuring Brand Awareness and Loyalty Key Metrics for Tracking Brand Performance.......311 Utilizing Customer Feedback for Improvement......329 Adapting Strategies Based on Market Trends.......347 Chapter 8: Integrating Awareness and Loyalty Strategies Aligning Marketing Efforts Across Campaigns......365 Holistic Approaches to Brand Development.........383 Overcoming Common Barriers to Integration........401 Chapter 9: Future Trends in Brand Awareness and Loyalty The Evolving Role of Technology in Brand Strategy....419 Sustainable Branding as a Path to Loyalty........437 Emerging Consumer Expectations...................455

    Appendices Appendix A: Brand Audit Checklist..................473 Appendix B: Sample Loyalty Program Design..........489 Appendix C: Tools for Monitoring Brand Performance...505 References Comprehensive Bibliography on Brand Awareness and Loyalty.....521 Index Detailed Index of Terms and Key Concepts.................539

    AUTHOR PROFILE
    In 2016, the author earned the title of Doctor of Humanity, hold a Ph.D. in Information Technology and a DBA in General Management. Since 2016, the author has been teaching at international universities in Malaysia, Singapore, Thailand, and the USA. In 1999, the author founded the Education Training Centre (ETC), an organization dedicated to providing educational services and social support for the underprivileged. This organization offers shelter homes for children in need of a safe place to live and drop-in schools for those who need to continue their education. The ETC is also involved in research aimed at advancing science, which led to the author earning the title of Professor and joining the WPF. Additionally, the author is actively involved in global social development programs through the United Nations. They are a member of the UN Global Compact (id-137635), the UN Global Market (id-709131), and the UN ECOSOC (id-677556). The author has served as a reviewer for several international journals and book chapters, and has written numerous books and articles on a wide range of topics including Philosophy, Economics, Management, Arts and Culture, Anthropology, Law, Psychology, Education, Sociology, Health, Technology, Tourism, and Communication.

  11. f

    NEW TIMES, NEW STRATEGIES: PROPOSAL FOR AN ADDITIONAL DIMENSION TO THE 4 P'S...

    • scielo.figshare.com
    jpeg
    Updated Jun 1, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Maximiliano Gonetecki Oliveira; Ana Maria Machado Toaldo (2023). NEW TIMES, NEW STRATEGIES: PROPOSAL FOR AN ADDITIONAL DIMENSION TO THE 4 P'S FOR E-COMMERCE DOT-COM [Dataset]. http://doi.org/10.6084/m9.figshare.20011733.v1
    Explore at:
    jpegAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELO journals
    Authors
    Maximiliano Gonetecki Oliveira; Ana Maria Machado Toaldo
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Proper marketing management is fundamental to any business endeavor, including dot-coms. However, to date, as identified in a review of the International Journal of Electronic Commerce (IJEC) production and the last 10 years of EnANPAD (EnANPAD is the annual Brazilian Academy of Management conference). There are no works on the applicability of the 4P's to e-commerce, a gap in the literature that this study proposes to fill. It uses a qualitative approach methodology, investigating several empirical studies about digital commerce, and comparing it with the mainstream strategic marketing literature. Inferences were developed, pushing further the theory boundaries of this field. Both the classical works as those from Borden (1964) and Mccarthy (1960) and many other contemporaries are evaluated. The present research utilizes these works as a source of information and data. Using a process of comparison with the marketing mix model, it searches for a possible lack of fit between the related empirical environments and such a model. The results identify several key variables in each of the P's related to security in electronic commerce. This dimension seems to be the key in shaping the perception of customer value, thus supporting its inclusion as a fifth dimension along with the 4P's.

  12. m

    CRM and customer evaluation using MCDM

    • data.mendeley.com
    Updated Jul 29, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Guilherme Jacomini (2022). CRM and customer evaluation using MCDM [Dataset]. http://doi.org/10.17632/xngss375gk.1
    Explore at:
    Dataset updated
    Jul 29, 2022
    Authors
    Guilherme Jacomini
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset contains supplementary data related to the article submitted to International Journal of Production Economics (IJPE), entitled "A combined multicriteria and fuzzy sets approach to customer relationship management". It contains two files. The first presents data and evaluation of 21 potential customers (of a digital marketing company) using the multicriteria decision making (MCDM) method PROMETHEE II; it contains the implementation of VBA code of this method. The second presents data and evaluation of 8 customers (of the same digital marketing company) using the multicriteria decision making (MCDM) method fuzzy TOPSIS; it also contains the implementation of VBA code of the method. To better explain used data and evaluations: the potential customers are evaluated considering criteria "audience" (which means number of followers of the potential customers in social media), "used platform" (expresses which platform the customer uses to disseminate content) and "niche relevance" (importance of the niche in which customers produce content). Finally, applying the PROMETHEE II method results in a final score for each potential customer, allowing to rank them according to these scores. Current customers are evaluated using sets of criteria grouped in three performance dimension: growth potential, relationship and cost-effectiveness. Applying fuzzy TOPSIS method results in a score for each dimension. Thus, customers are classified using two portfolio matrices. Steps to reproduce the applications can be found in the respective worksheets.

  13. l

    IWA journal abstracts database

    • opal.latrobe.edu.au
    Updated May 13, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Peter Prevos (2024). IWA journal abstracts database [Dataset]. http://doi.org/10.26181/5bd90ca36da85
    Explore at:
    application/x-sqlite3Available download formats
    Dataset updated
    May 13, 2024
    Dataset provided by
    La Trobe
    Authors
    Peter Prevos
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This data set contains 244 abstracts of articles published by the International Water Association in 13 journals in the English language.This file is in the SQLite format for use with the RQDA package in the R language.

  14. C

    China CN: EVI: YoY: HS4: Newspapers, Journals and Periodicals, Whether or...

    • ceicdata.com
    Updated Mar 23, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2024). China CN: EVI: YoY: HS4: Newspapers, Journals and Periodicals, Whether or not Illustrated or Containing Advertising Material. [Dataset]. https://www.ceicdata.com/en/china/trade-value-index-yoy-hs4-classification/cn-evi-yoy-hs4-newspapers-journals-and-periodicals-whether-or-not-illustrated-or-containing-advertising-material
    Explore at:
    Dataset updated
    Mar 23, 2024
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2024 - Dec 1, 2024
    Area covered
    China
    Description

    China EVI: YoY: HS4: Newspapers, Journals and Periodicals, Whether or not Illustrated or Containing Advertising Material. data was reported at 155.200 Prev Year=100 in Mar 2025. This records an increase from the previous number of 67.700 Prev Year=100 for Jan 2025. China EVI: YoY: HS4: Newspapers, Journals and Periodicals, Whether or not Illustrated or Containing Advertising Material. data is updated monthly, averaging 84.500 Prev Year=100 from Jan 2018 (Median) to Mar 2025, with 81 observations. The data reached an all-time high of 430.400 Prev Year=100 in Feb 2023 and a record low of 28.900 Prev Year=100 in Jan 2022. China EVI: YoY: HS4: Newspapers, Journals and Periodicals, Whether or not Illustrated or Containing Advertising Material. data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s International Trade – Table CN.JE: Trade Value Index: YoY: HS4 Classification.

  15. f

    Translation in New Tide Journal (1919-1922) and the Canonization of May...

    • figshare.com
    xlsx
    Updated Jun 1, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Michelle Jia Ye (2021). Translation in New Tide Journal (1919-1922) and the Canonization of May Fourth in the early Republican Periodical Press [Dataset]. http://doi.org/10.6084/m9.figshare.7428434.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jun 1, 2021
    Dataset provided by
    figshare
    Authors
    Michelle Jia Ye
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The dataset is an output of the research project "Translation in New Tide Journal (1919-1922) and the Canonization of May Fourth in the early Republican Periodical Press" funded by Early Career Scheme (#24606617), Research Grants Council, Hong Kong.

    The dataset contains the following items:

    1. published items.xlsx – a record of all published items in New Tide, with items containing translation(s) marked with (a) the nature of translation (full/partial rendition, citation, mention or summary) and (b) the textual level involved (word-, sentence- or text-level). Each item is provided with basic bibliographical information as seen in the original publication and the disambiguated names of the contributors;

    2. advertising network.gephi – a record of the advertised affiliations of New Tide, recovered from advertisements in the journal.

    3. text map.xlsx – a set of spreadsheets that record the connections between New Tide articles containing contained translations with the sources that were translated, cited, mentioned and referenced, in the format of Gephi node–edge sheet.

    4. text map.gephi – a network graph based on Item 3, which visualizes New Tide’s western and Chinese textual sources, their intertextual relations with New Tide articles, and the intertextual relations within New Tide articles. The text map is colored-coded and manipulated in a way to bring to front most resourceful articles, most-translated sources/authors, and the most discussed Chinese classics; and finally

    5. New Tide advertising network visualization.pdf, a visual output of item 2.

    The dataset is cited in the following papers, which are also research outputs of the captioned Early Career Scheme project:

    1. “A Space for Their Voices: (Un)apologies for Translation in New Tide (1919–1922)”. Special Volume “May Fourth and Translation”. Translation Wor(l)ds Series 4. 95–114.

    2. “A Space of Their Voice: Apologies for Translation in New Tide (1919–1922)”. “A Space for Translation: Threshold of Interpretation” Conference, Department of Translation, Chinese University of Hong Kong. 10–12 December.

    3. “The New and the Translated: A Text Map of the May Fourth Journal New Tide”. The European Association for Chinese Studies Biennial Conference. University of Glasgow, Scotland. August 29–1 September 1.

    4. “Translation in New Tide (1919–1922) and the Canonization of May Fourth”. International Association for Translation and Intercultural Studies 6th Conference, Baptist University of Hong Kong. July 3–6.

  16. China CN: EQI: MoM: HS4: Newspapers, Journals and Periodicals, Whether or...

    • ceicdata.com
    Updated Mar 23, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2024). China CN: EQI: MoM: HS4: Newspapers, Journals and Periodicals, Whether or not Illustrated or Containing Advertising Material. [Dataset]. https://www.ceicdata.com/en/china/quantum-index-mom-hs4-classification/cn-eqi-mom-hs4-newspapers-journals-and-periodicals-whether-or-not-illustrated-or-containing-advertising-material
    Explore at:
    Dataset updated
    Mar 23, 2024
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2023 - Dec 1, 2024
    Area covered
    China
    Description

    China EQI: MoM: HS4: Newspapers, Journals and Periodicals, Whether or not Illustrated or Containing Advertising Material. data was reported at 158.400 Average 12 Mths PY=100 in Mar 2025. This records an increase from the previous number of 155.400 Average 12 Mths PY=100 for Feb 2025. China EQI: MoM: HS4: Newspapers, Journals and Periodicals, Whether or not Illustrated or Containing Advertising Material. data is updated monthly, averaging 89.200 Average 12 Mths PY=100 from Jan 2018 (Median) to Mar 2025, with 83 observations. The data reached an all-time high of 298.697 Average 12 Mths PY=100 in Jul 2023 and a record low of 26.700 Average 12 Mths PY=100 in Feb 2022. China EQI: MoM: HS4: Newspapers, Journals and Periodicals, Whether or not Illustrated or Containing Advertising Material. data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s International Trade – Table CN.JE: Quantum Index: MoM: HS4 Classification.

  17. China Trade Index: YoY: Unit Value: Export HS4: Newspapers, Journals and...

    • ceicdata.com
    Updated Mar 28, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2024). China Trade Index: YoY: Unit Value: Export HS4: Newspapers, Journals and Periodicals, Whether or not Illustrated or Containing Advertising Material. [Dataset]. https://www.ceicdata.com/en/china/unit-value-index-yoy-hs4-classification/trade-index-yoy-unit-value-export-hs4-newspapers-journals-and-periodicals-whether-or-not-illustrated-or-containing-advertising-material
    Explore at:
    Dataset updated
    Mar 28, 2024
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2024 - Dec 1, 2024
    Area covered
    China
    Description

    China Trade Index: YoY: Unit Value: Export HS4: Newspapers, Journals and Periodicals, Whether or not Illustrated or Containing Advertising Material. data was reported at 60.100 Prev Year=100 in Mar 2025. This records an increase from the previous number of 53.500 Prev Year=100 for Jan 2025. China Trade Index: YoY: Unit Value: Export HS4: Newspapers, Journals and Periodicals, Whether or not Illustrated or Containing Advertising Material. data is updated monthly, averaging 103.000 Prev Year=100 from Jan 2018 (Median) to Mar 2025, with 81 observations. The data reached an all-time high of 179.303 Prev Year=100 in Jan 2023 and a record low of 51.500 Prev Year=100 in Oct 2022. China Trade Index: YoY: Unit Value: Export HS4: Newspapers, Journals and Periodicals, Whether or not Illustrated or Containing Advertising Material. data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s International Trade – Table CN.JE: Unit Value Index: YoY: HS4 Classification.

  18. China CN: IQI: YoY: HS4: Newspapers, Journals and Periodicals, Whether or...

    • ceicdata.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com, China CN: IQI: YoY: HS4: Newspapers, Journals and Periodicals, Whether or not Illustrated or Containing Advertising Material. [Dataset]. https://www.ceicdata.com/en/china/quantum-index-yoy-hs4-classification?page=17
    Explore at:
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2024 - Dec 1, 2024
    Area covered
    China
    Description

    CN: IQI: YoY: HS4: Newspapers, Journals and Periodicals, Whether or not Illustrated or Containing Advertising Material. data was reported at 103.800 Prev Year=100 in Feb 2025. This records an increase from the previous number of 81.100 Prev Year=100 for Jan 2025. CN: IQI: YoY: HS4: Newspapers, Journals and Periodicals, Whether or not Illustrated or Containing Advertising Material. data is updated monthly, averaging 89.614 Prev Year=100 from Jan 2018 (Median) to Feb 2025, with 84 observations. The data reached an all-time high of 632.800 Prev Year=100 in Feb 2022 and a record low of 13.500 Prev Year=100 in Apr 2021. CN: IQI: YoY: HS4: Newspapers, Journals and Periodicals, Whether or not Illustrated or Containing Advertising Material. data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s International Trade – Table CN.JE: Quantum Index: YoY: HS4 Classification.

  19. C

    China Trade Index: YoY: Unit Value: Import HS4: Newspapers, Journals and...

    • ceicdata.com
    Updated Mar 23, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2024). China Trade Index: YoY: Unit Value: Import HS4: Newspapers, Journals and Periodicals, Whether or not Illustrated or Containing Advertising Material. [Dataset]. https://www.ceicdata.com/en/china/unit-value-index-yoy-hs4-classification/trade-index-yoy-unit-value-import-hs4-newspapers-journals-and-periodicals-whether-or-not-illustrated-or-containing-advertising-material
    Explore at:
    Dataset updated
    Mar 23, 2024
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2024 - Dec 1, 2024
    Area covered
    China
    Description

    China Trade Index: YoY: Unit Value: Import HS4: Newspapers, Journals and Periodicals, Whether or not Illustrated or Containing Advertising Material. data was reported at 110.800 Prev Year=100 in Mar 2025. This records a decrease from the previous number of 157.500 Prev Year=100 for Feb 2025. China Trade Index: YoY: Unit Value: Import HS4: Newspapers, Journals and Periodicals, Whether or not Illustrated or Containing Advertising Material. data is updated monthly, averaging 104.100 Prev Year=100 from Jan 2018 (Median) to Mar 2025, with 85 observations. The data reached an all-time high of 173.500 Prev Year=100 in Dec 2021 and a record low of 57.690 Prev Year=100 in Dec 2022. China Trade Index: YoY: Unit Value: Import HS4: Newspapers, Journals and Periodicals, Whether or not Illustrated or Containing Advertising Material. data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s International Trade – Table CN.JE: Unit Value Index: YoY: HS4 Classification.

  20. r

    Journal of Business Research Impact Factor 2024-2025 - ResearchHelpDesk

    • researchhelpdesk.org
    Updated Feb 23, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Research Help Desk (2022). Journal of Business Research Impact Factor 2024-2025 - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/impact-factor-if/367/journal-of-business-research
    Explore at:
    Dataset updated
    Feb 23, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    Journal of Business Research Impact Factor 2024-2025 - ResearchHelpDesk - The Journal of Business Research applies theory developed from business research to actual business situations. Recognizing the intricate relationships between the many areas of business activity, JBR examines a wide variety of business decisions, processes and activities within the actual business setting. Theoretical and empirical advances in buyer behavior, finance, organizational theory and behavior, marketing, risk and insurance and international business are evaluated on a regular basis. Published for executives, researchers and scholars alike, the Journal aids the application of empirical research to practical situations and theoretical findings to the reality of the business world. Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services. Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center

  21. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Research Help Desk (2022). Journal of Business Research Acceptance Rate - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/acceptance-rate/367/journal-of-business-research

Journal of Business Research Acceptance Rate - ResearchHelpDesk

Explore at:
Dataset updated
Feb 15, 2022
Dataset authored and provided by
Research Help Desk
Description

Journal of Business Research Acceptance Rate - ResearchHelpDesk - The Journal of Business Research applies theory developed from business research to actual business situations. Recognizing the intricate relationships between the many areas of business activity, JBR examines a wide variety of business decisions, processes and activities within the actual business setting. Theoretical and empirical advances in buyer behavior, finance, organizational theory and behavior, marketing, risk and insurance and international business are evaluated on a regular basis. Published for executives, researchers and scholars alike, the Journal aids the application of empirical research to practical situations and theoretical findings to the reality of the business world. Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services. Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center

Search
Clear search
Close search
Google apps
Main menu