[The instructions in this document are in square brackets and the level of obligation of each section is included at the beginning of them.] [When you have completed this document, remove all instructions and delete sections that you did not complete because they are not applicable in your dataset.] [Fill in as many sections as possible in this document to facilitate the reuse of your dataset.] [This template has been created by the CSUC Research Support Working Group.] [This template is released under a CC0 license. You can reuse, redistribute, and modify it as you wish.] [For any information on this document contact biblioteca.projectes@udg.edu] This file was generated on [date in YYYY-MM-DD format] by [Name] ------------------- GENERAL INFORMATION ------------------- 1. Dataset title: [Four Theasurus Brand Personality Dictionaries] 2. Authorship (repeatable): [Mandatory | Fill in the information of all the authors following the format below. Repeat the structure, one for each author.] Name: Institution: Email: ORCID: 1) Name: Mohamed Abdalla Elsayed Hassan ( Corresponding Author) - Title: Ph.D. student - Email: u1944971@campus.udg.edu - Institution: University of Girona, Faculty of Tourism, Department History of Art, Research Line Cultural Tourism and Heritage Management. - ORCID PRC: 0000-0003-1560-0669 - Address: ST. DOMÈNEC, Plaça Ferrater Mora 1, 17004 – Girona Despatx: 433, Girona, Spain - Tel: +34 972 41 8785 - +034 635 96 8345 2) Name: Konstantina Zerva - Title: Professor - Email: konstantina.zerva@udg.edu - Institution: University of Girona, Faculty of Tourism - ORCID PRC:0000-0003-4161-8782 3) Name: Silvia Aulet - Title: Professor - Email: silvia.aulet@udg.edu - Institution: University of Girona, Faculty of Tourism - ORCID PRC:0000-0003-4022-6568 ----------- DESCRIPTION ----------- 1. dataset abstract: [The five-dimensional brand personality (BP) measure of Aaker (1997) has been perceived by academics as a significant tool for measuring brand intangible meanings. Pitt, Opoku, Hultman, Abratt, & Spyropoulou (2007) were the first to expand Aaker’s (1997) five dimensions into 833 items dictionary known as the first BP dictionary. This dictionary assisted Pitt et al. (2007) in analysing the tourism countries’ website BP from digital textual data, since then Pitt et al.’s (2007) BP lexical approach has been extended by other studies to analyse their brands from digital texts(Paschen, Pitt, Kietzmann, Dabirian, & Farshid, 2017; Ranfagni, Crawford Camiciottoli, & Faraoni, 2016). Even though Pitt et al. 's (2007) BP dictionary assisted in the analysis of BP from digital texts, academics explored that the 833 items did not allow prominent items to specific brands to be included in the analysis (Papania et al., 2008). Thus, in a study aimed to explore the BP of World Heritage Sites (WHSs), Four Thesaurus BP dictionaries were developed in order to aid in including items prominent to WHSs to be included(Hassan, Zerva, & Aulet, 2021). The 5, 571 non-redundant items of these dictionaries are an expansion of Aaker’s (1997) dimensions namely; Competence, Excitement, Ruggedness, Sincerity and Sophistication. In contrast to the construction of Pitt et al.’s (2007) dictionary established by using Encyclopedia Britannica’s online Thesaurus, the Four Thesaurus Dictionaries are constructed by four online thesaurus dictionaries that categorize the word due to their similarity. The technique of categories allowed the construction of the Four Thesaurus BP dictionaries and assisted in categories of words under Aaker’s five dimensions. These Four Thesaurus dictionaries were part of a method that assisted in identifying the BP dictionary of WHSs as a categories dictionary (Hassan et al., 2021). Furthermore, these Four Thesaurus Dictionaries items are validated as behavioural items by the use of available psychology dictionaries (Allport & Odbert, 1936), providing the Updated Four Thesaurus Dictionaries including 2, 643 unique items. Hence the use of these Four Thesaurus Dictionaries may be useful in defining the BP categories for brands or product categories (Hassan et al., 2021). ] 2. Date of data collection (single date or date range): [2021-05-25] 3. Date of coverage / Time period covered of the data: [2021-05-25 2021-04-01] 4. Publication / distribution: date [ publications 2021-06-21] 5. Geographic location/s of data: [Mandatory if Applicable | Latitude, longitude, city, region, country, etc.] 6. Grant information (repeatable): [Mandatory if Applicable | Repeat the scheme for each funding agency if it is necessary] Funding Agency: Project code: -------------------- ACCESS INFORMATION -------------------- 1. License Creative Commons /restrictions placed on the data: [Mandatory | The recommended licenses are CC-BY] 2. Dataset Digital Object Identifier (Handle/DOI): [Mandatory | included by the Library] 3. Related publications to the dataset [Hassan, Mohamed Abdalla Elsayed, Konstantina Zerva, and Silvia Aulet. 2021. “Brand Personality Traits of World Heritage Sites: Text Mining Approach.” Sustainability (Switzerland) 13 (11). https://doi.org/10.3390/su13116142.] DOI/URL/HANDLE:https://www.mdpi.com/2071-1050/13/11/6142 4. Links to related datasets (repeatable): [Recommended if Applicable |E.g. other data sets of the same project: websites, Zenodo, Figshare, etc.)] DOI/URL/HANDLE: 5. Limitations to reuse: [Mandatory if Applicable | in case of not being open data] -------------------------- VERSIONING AND PROVENANCE -------------------------- 1. Last modification date of dataset: [Recommended if Applicable | Date in 2022-06-22) 2. Were data derived from another source?: [ No] 3. Additional related data not included in this dataset: [Optional] -------------------------- METHODOLOGICAL INFORMATION -------------------------- 1. Description of the methods used to collect and generate the data: [the present study presents a new BP dictionary that aiding in including most of the items that may be of prominent relevancy to various studies and still within the five personality categories of Aaker’s (1997) five dimensions, namely the Four Thesaurus Dictionaries. This study established a new dictionary parallel and similar to Pitt’s dictionary by the use of four online dictionaries: Power Thesaurus www.powerthesaurus.org, OneLook Thesaurus www.onelook.com/thesaurus, Thesaurus Dictionary, www.thesaurus.com, and Merriam Webster www.merriam-webster.com; (accessed on 25 May 2021). The main idea here is that each dictionary may include more unique words, so using four sources aids in expanding the number of synonyms. The four online dictionaries were selected due to the fact that they arranged the synonyms of specific keywords based on their level of similarity, thus they are prominent in providing similarity rankings for the target keywords. This four-dictionary ranking of keywords was beneficial when extracting synonyms for Aaker’s items as each synonym is colour coded according to where is ranked in relation to a specific keyword. By colour-coding the keyword, it can then be placed in Aaker’s five dimensions according to its relevance. These dictionaries were coloured to show that the closer the similarity to one of the 42 traits in Aaker, the darker the colour. The colour code technique way is inspired by the way Thesaurus and OneLook dictionaries prioritize the degree of similarity between synonyms. An example can be found in the following URLs accessed on 25 May 2021: www.thesaurus.com/browse/unique; www.onelook.com/thesaurus/?s=unique. therefore, this technique aided in constructing four dictionaries (hereafter: 4-Thesaurus BP dictionaries), and their entire set of adjectives was classified according to the degree of relevance to one of the 42 traits within the five personality categories. Furthermore, From psychology studies, 18,337 non-redundant personality items were collected from Goldberg (1982), Saucier (1997), Norman (1963), and Allport and Odbert (1936) hereafter called psychology dictionaries. Allport and Odbert (1936) are the first to hypothesise that personality inhabits natural language terms, and their dictionary figures prominently in the development of the Big Five (Caprara, Barbaranelli, and Guido 2001). Therefore, The use of these psychology dictionaries aids in filter the Four Thesaurus dictionaries and keeping items that were agreed with psychology studies, which means that they were checked previously for their validation. To notify, in addition to the three psychology studies’ items used first by Fischer et al. (2020), this study also used 2,800 items from Norman (1967), who refined and structured the Allport traits. This technique enables this study to provide the Updated Thesaurus Dictionaries.] 2. Data processing methods: [Recommended | Describes how the submitted dataset was generated from the collected raw data] 3. Software or instruments needed to interpret the data: [Mandatory if Applicable | Include software name, version and requirements. If there is specific software with restricted access, explain how it can be obtained. Please assess wheter it is possible to change the dataset to an open format (recommended)] ------------- FILE OVERVIEW ------------- [All files included in the dataset must be mentioned, with the name and extension (.csv, .pdf, etc.) of each file. Include the directory structure, if applicable.] 1. Files list included in the Dataset (repeatable): [Mandatory | Repeat the scheme, one for each file.] Filename and extension: Four Thesaurus BP Dictionaries.CSV Short description: this file includes two sheets; the first one include the Four Theasurus Dictionaries in colored codes, the second sheet include the Updated Four Thesaurus Dcitionaries where words are compared to the pychology dictionaries. 2. Files list included in the Dataset (repeatable): [Mandatory | Repeat the scheme, one for each file.] Filename and extension: Four Theasurus BP Implications.pdf Short description: this pdf file includes more details about the Four Theasurus Dcitionaries how they are collected and their implications in the context of Brand Pesoanlity lexical approach ; this file is an optional it can be uploaded with the data if possible 2. Relationship between files: [the second file explained in more indetails the data included the first file, and their implications] 3. Files format: [CSV] 4. If the dataset includes multiple files, indicate the directory structure and the relationships between the files: [the first file is CSV included two sheets; the first sheet include the Four Theasurus BP Dictionaries, and the second sheet includes the Updated Four Thesaurus Dcictionaries] --------------------------------------- SPECIFIC INFORMATION FOR TABULAR DATA --------------------------------------- [This section should be repeated for each data file that requires the explanation of variables (usually tabular data). All variables, including units of measure, should be described.] 1. File name: [Optional] 2. Number of rows and columns: [Optional] 3. Variables list: [Optional | Repeat the structure for each variable.] Variable name: Description: Units of measure or value labels: 4. Codes or symbols for missing data: [Optional | Repeat the structure for each code or symbol.] Code or symbol: Definition: 5. Special formats or abbreviations used: [Optional] ---------------------------------------- MORE INFORMATION ---------------------------------------- (here the second pdf file include descriptions of the constructions of the data in more details and its implications)