Factors Influencing the Use of Communication Innovations Among Older Adults in Songkhla Province
DOI:
https://doi.org/10.55164/ecbajournal.v17i4.281654Keywords:
Communication Innovation, Older Adults, Attitude, Intention to Use InnovationAbstract
The objectives of this research were to 1) examine the communication innovation usage behavior among the elderly, 2) assess the levels of attitude and intention to use communication innovation among the elderly, and 3) analyze the factors related to the use of communication innovation among the elderly. The sample group consisted of 384 elderly individuals aged between 60-78 years, residing in Songkhla Province. The participants were purposively selected based on their regular use of communication innovations in daily life. Data were collected using questionnaires and analyzed using both descriptive and inferential statistics. Descriptive statistics included frequency, percentage, mean, and standard deviation. Inferential statistics were used to test the hypotheses through Pearson’s Product Moment Correlation Coefficient analysis.
The results revealed that most elderly participants used mobile phones for communication, primarily through Facebook and Line, to connect with both current and long-lost friends. Communication innovation was predominantly used during the daytime (between 11:01 AM-4:00 PM). Participants perceived communication innovations as modern, enjoyable, and relaxing, enabling them to directly share information and foster close relationships. Their intention to continue using communication innovations for communication purposes was found to be high, as it brought them happiness and access to various sources of information and knowledge, helping them stay up-to-date with current events. The analysis of factors related to the use of communication innovations indicated that communication, information management, online social interaction, security, integration into daily life, and ethics, morality, and attitudes all had statistically significant correlations at the 0.01 level. The strength of correlations, ranked from highest to lowest, were as follows: online social interaction (r=0.929) information management (r=0.911) integration into daily life (r=0.905) security (r=0.840) communication (r=0.788) ethics morality and attitudes (r=0.646)
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