As long as you talk about me: The importance of family firm brands and
the contingent role of family-firm identity
- URL: http://arxiv.org/abs/2110.13815v1
- Date: Tue, 19 Oct 2021 10:34:40 GMT
- Title: As long as you talk about me: The importance of family firm brands and
the contingent role of family-firm identity
- Authors: P. Rovelli, C. Benedetti, A. Fronzetti Colladon, A. De Massis
- Abstract summary: We use the semantic brand score to measure the importance the media give to family firm brands.
The analysis of a sample of 52,555 news articles published in 2017 about 63 Italian entrepreneurial families reveals that brand importance is positively associated with family firm revenues.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: This study explores the role of external audiences in determining the
importance of family firm brands and the relationship with firm performance.
Drawing on text mining and social network analysis techniques, and considering
the brand prevalence, diversity, and connectivity dimensions, we use the
semantic brand score to measure the importance the media give to family firm
brands. The analysis of a sample of 52,555 news articles published in 2017
about 63 Italian entrepreneurial families reveals that brand importance is
positively associated with family firm revenues, and this relationship is
stronger when there is identity match between the family and the firm. This
study advances current literature by offering a rich and multifaceted
perspective on how external audiences perceptions of the brand shape family
firm performance.
Related papers
- The Topology of a Family Tree Graph and Its Members' Satisfaction with One Another: A Machine Learning Approach [0.6906005491572401]
Family members' satisfaction with one another is central to creating healthy and supportive family environments.
We show that the proposed technique brings about highly accurate results in predicting family members' satisfaction with one another based solely on the family graph's topology.
arXiv Detail & Related papers (2023-05-02T15:54:55Z) - Persuasion Strategies in Advertisements [68.70313043201882]
We introduce an extensive vocabulary of persuasion strategies and build the first ad image corpus annotated with persuasion strategies.
We then formulate the task of persuasion strategy prediction with multi-modal learning.
We conduct a real-world case study on 1600 advertising campaigns of 30 Fortune-500 companies.
arXiv Detail & Related papers (2022-08-20T07:33:13Z) - Personality-Driven Social Multimedia Content Recommendation [68.46899477180837]
We investigate the impact of human personality traits on the content recommendation model by applying a novel personality-driven multi-view content recommender system.
Our experimental results and real-world case study demonstrate not just PersiC's ability to perform efficient human personality-driven multi-view content recommendation, but also allow for actionable digital ad strategy recommendations.
arXiv Detail & Related papers (2022-07-25T14:37:18Z) - Recognizing Families In the Wild (RFIW): The 5th Edition [115.73174360706136]
This is our fifth edition of RFIW, for which we continue the effort to attract scholars, bring together professionals, publish new work, and discuss prospects.
In this paper, we summarize submissions for the three tasks of this year's RFIW: specifically, we review the results for kinship verification, tri-subject verification, and family member search and retrieval.
We take a look at the RFIW problem, as well as share current efforts and make recommendations for promising future directions.
arXiv Detail & Related papers (2021-10-31T21:37:40Z) - Ranking Micro-Influencers: a Novel Multi-Task Learning and Interpretable
Framework [69.5850969606885]
We propose a novel multi-task learning framework to improve the state of the art in micro-influencer ranking based on multimedia content.
We show significant improvement both in terms of accuracy and model complexity.
The techniques for ranking and interpretation presented in this work can be generalised to arbitrary multimedia ranking tasks.
arXiv Detail & Related papers (2021-07-29T13:04:25Z) - A new system for evaluating brand importance: A use case from the
fashion industry [0.0]
We apply the Semantic Brand Score (SBS) indicator to assess brand importance in the fashion industry.
We collected and analyzed about 206,000 tweets that mentioned the fashion brands Fendi, Gucci and Prada.
From the analysis of the three SBS dimensions - prevalence, diversity and connectivity - we found that Gucci dominated the discourse.
arXiv Detail & Related papers (2021-06-24T09:04:26Z) - Corporate core values and social responsibility: What really matters to
whom [0.0]
This study uses an innovative measure, the Semantic Brand Score, to assess the interest of stakeholders in different company core values.
We focus on corporate social responsibility (CSR) core value statements, and on the attention they receive from five categories of stakeholders.
arXiv Detail & Related papers (2021-06-03T07:25:26Z) - Studying the association of online brand importance with museum
visitors: An application of the semantic brand score [0.0]
We analyzed 10 years of online forum discussions and applied the Semantic Brand Score (SBS) to assess the brand importance of five European Museums.
Our Naive Bayes and regression models indicate that variations in the combined dimensions of the SBS are aligned with changes in museum visitors.
Results suggest that, in order to attract more visitors, museum brand managers should focus on increasing the volume of online posting and the richness of information generated by users around the brand.
arXiv Detail & Related papers (2021-05-17T11:49:30Z) - The Semantic Brand Score [0.0]
The Semantic Brand Score (SBS) is a new measure of brand importance calculated on text data, combining methods of social network and semantic analysis.
The SBS represents a contribution to the research on brand equity and on word co-occurrence networks.
On the one side, the SBS relates to familiar constructs of brand equity, on the other, it offers new perspectives for effective strategic management of brands in the era of big data.
arXiv Detail & Related papers (2021-05-12T16:54:57Z) - Gender bias in magazines oriented to men and women: a computational
approach [58.720142291102135]
We compare the content of a women-oriented magazine with that of a men-oriented one, both produced by the same editorial group over a decade.
With Topic Modelling techniques we identify the main themes discussed in the magazines and quantify how much the presence of these topics differs between magazines over time.
Our results show that the frequency of appearance of the topics Family, Business and Women as sex objects, present an initial bias that tends to disappear over time.
arXiv Detail & Related papers (2020-11-24T14:02:49Z) - A Corpus Study and Annotation Schema for Named Entity Recognition and
Relation Extraction of Business Products [68.26059718611914]
We present a corpus study, an annotation schema and associated guidelines, for the annotation of product entity and company-product relation mentions.
We find that although product mentions are often realized as noun phrases, defining their exact extent is difficult due to high boundary ambiguity.
We present a preliminary corpus of English web and social media documents annotated according to the proposed guidelines.
arXiv Detail & Related papers (2020-04-07T11:45:22Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.