{"title":"墨西哥人口中的技术压力及其与社会人口和劳工变量的关系","authors":"Erika Villavicencio-Ayub, Diana Guadalupe Ibarra Aguilar, Nazira Calleja","doi":"10.17081/psico.23.44.3473","DOIUrl":null,"url":null,"abstract":"Objective: To measure the relationship between sociodemographic variables, labor variables, andtechnology frequency of use with the level of technostress experiences such as techno-anxiety,techno-fatigue, and techno-addiction, using a sample of Mexican adolescents, youth, and adults. \nMethod: The participants of the study were 981 Mexican nationals aged 13–69. The scales implementedto measure technostress and techno-addiction were the ones used in Cazares & Villavicencio (2019)and a sociodemographic and labor variables questionnaire created by the authors, implemented usingGoogle’s form tool. Data obtained were subjected to a descriptive, correlational, and inferential levelanalysis (Kerlinger & Lee, 2002), using the statistical software SPSS v.20. \nResults: Regarding techno-fatigue, the results showed significant differences on the basis of sex (U= 104026.50, p = 0.037) and seniority [χ2(3) = 11.213, p = 0.011] and a marginal significance on thebasis of marital status (U = 78329.00, p = .058). Regarding techno-addiction, significant differenceswere found on the basis of marital status (U = 76121.50, p = 0.012) and occupation [χ2(2) = 4.698, p =0.008]. Regarding techno-anxiety, significant differences were found on the basis of company type (U =61348.00, p = 0.049). Finally, it was found that people who received better schooling, such as directors and independent entrepreneurs, showed greater techno-anxiety, techno-fatigue, and techno-addiction. \nConclusions: The results confirm that technostress is prevalent in Mexico. In addition, there is a confirmedrelationship between technostress experiences, sociodemographic variables (sex, marital status,occupation, and schooling), and labor variables (seniority, company type, and position level). The resultsconstitute the first technostress research contributions in Mexico, a country that encourages the use oftechnology.","PeriodicalId":30254,"journal":{"name":"Psicogente","volume":"23 1","pages":"1-27"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Tecnoestrés en población mexicana y su relación con variables sociodemográficas y laborales\",\"authors\":\"Erika Villavicencio-Ayub, Diana Guadalupe Ibarra Aguilar, Nazira Calleja\",\"doi\":\"10.17081/psico.23.44.3473\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objective: To measure the relationship between sociodemographic variables, labor variables, andtechnology frequency of use with the level of technostress experiences such as techno-anxiety,techno-fatigue, and techno-addiction, using a sample of Mexican adolescents, youth, and adults. \\nMethod: The participants of the study were 981 Mexican nationals aged 13–69. The scales implementedto measure technostress and techno-addiction were the ones used in Cazares & Villavicencio (2019)and a sociodemographic and labor variables questionnaire created by the authors, implemented usingGoogle’s form tool. Data obtained were subjected to a descriptive, correlational, and inferential levelanalysis (Kerlinger & Lee, 2002), using the statistical software SPSS v.20. \\nResults: Regarding techno-fatigue, the results showed significant differences on the basis of sex (U= 104026.50, p = 0.037) and seniority [χ2(3) = 11.213, p = 0.011] and a marginal significance on thebasis of marital status (U = 78329.00, p = .058). Regarding techno-addiction, significant differenceswere found on the basis of marital status (U = 76121.50, p = 0.012) and occupation [χ2(2) = 4.698, p =0.008]. Regarding techno-anxiety, significant differences were found on the basis of company type (U =61348.00, p = 0.049). Finally, it was found that people who received better schooling, such as directors and independent entrepreneurs, showed greater techno-anxiety, techno-fatigue, and techno-addiction. \\nConclusions: The results confirm that technostress is prevalent in Mexico. In addition, there is a confirmedrelationship between technostress experiences, sociodemographic variables (sex, marital status,occupation, and schooling), and labor variables (seniority, company type, and position level). The resultsconstitute the first technostress research contributions in Mexico, a country that encourages the use oftechnology.\",\"PeriodicalId\":30254,\"journal\":{\"name\":\"Psicogente\",\"volume\":\"23 1\",\"pages\":\"1-27\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Psicogente\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17081/psico.23.44.3473\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Psicogente","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17081/psico.23.44.3473","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Tecnoestrés en población mexicana y su relación con variables sociodemográficas y laborales
Objective: To measure the relationship between sociodemographic variables, labor variables, andtechnology frequency of use with the level of technostress experiences such as techno-anxiety,techno-fatigue, and techno-addiction, using a sample of Mexican adolescents, youth, and adults.
Method: The participants of the study were 981 Mexican nationals aged 13–69. The scales implementedto measure technostress and techno-addiction were the ones used in Cazares & Villavicencio (2019)and a sociodemographic and labor variables questionnaire created by the authors, implemented usingGoogle’s form tool. Data obtained were subjected to a descriptive, correlational, and inferential levelanalysis (Kerlinger & Lee, 2002), using the statistical software SPSS v.20.
Results: Regarding techno-fatigue, the results showed significant differences on the basis of sex (U= 104026.50, p = 0.037) and seniority [χ2(3) = 11.213, p = 0.011] and a marginal significance on thebasis of marital status (U = 78329.00, p = .058). Regarding techno-addiction, significant differenceswere found on the basis of marital status (U = 76121.50, p = 0.012) and occupation [χ2(2) = 4.698, p =0.008]. Regarding techno-anxiety, significant differences were found on the basis of company type (U =61348.00, p = 0.049). Finally, it was found that people who received better schooling, such as directors and independent entrepreneurs, showed greater techno-anxiety, techno-fatigue, and techno-addiction.
Conclusions: The results confirm that technostress is prevalent in Mexico. In addition, there is a confirmedrelationship between technostress experiences, sociodemographic variables (sex, marital status,occupation, and schooling), and labor variables (seniority, company type, and position level). The resultsconstitute the first technostress research contributions in Mexico, a country that encourages the use oftechnology.