Research Article
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Year 2022, Volume: 10 Issue: 3, 427 - 447, 01.09.2022
https://doi.org/10.30519/ahtr.939463

Abstract

References

  • Abd-Latif, R., Nor, M. M., Omar-Fauzee, M. S., Ahmad, A. R., & Karim, F. (2012). Influence of physical environment towards leisure time physical activity (LTPA) among adolescents. Procedia-Social and Behavioral Sciences, 38, 234-242.
  • Ahn, T. H., & Hosany, S. (2017). The effects of self-image congruence, tourists' experiences and satisfaction on behavioral intentions. Asia-Pacific Journal of Business, 8(1), 1-13.
  • Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94.
  • Bhattacherjee, A. (2002). Individual trust in online firms: Scale development and initial test. Journal of Management Information Systems, 19(1), 211-241.
  • Brown, S. A., & Venkatesh, V. (2005). Model of adoption of technology in households: A baseline model test and extension incorporating household life cycle. MIS Quarterly, 29(3), 399-426.
  • Brunner-Sperdin, A., & Peters, M. (2009). What influences guests' emotions? The case of high-quality hotels. International Journal of Tourism Research, 11(2), 171-183.
  • Cheung, C. M. K., & Lee, M. K. O. (2010). A theoretical model of intentional social action in online social networks. Decision Support Systems, 49(1), 24-30.
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
  • Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38(3), 475-487.
  • Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.
  • Di Palma, D., Cusano, P., Russo, C., & Ascione, A. (2019). New technologies in sport through the internet of things systems. Research Journal of Humanities and Cultural Studies, 5(1), 16-22.
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
  • Gebremichael, G. B., & Singh, A. I. (2019). Customers’ expectations and perceptions of service quality dimensions: A study of the hotel industry in selected cities of Tigray Region, Ethiopia. African Journal of Hospitality, Tourism and Leisure, 8 (5), 1-15.
  • Godbey, G. (2003). Leisure in your life: An exploration. State college, PA: Venture Publishing.
  • Higgins, E. T. (2000). Does personality provide unique explanations for behaviour? Personality as cross‐person variability in general principles. European Journal of Personality, 14(5), 391-406.
  • Horberg, E. J., Kraus, M. W., & Keltner, D. (2013). Pride displays communicate self-interest and support for meritocracy. Journal of Personality & Social Psychology, 105(1), 24-37.
  • Iryna, V., & Yuriy, V. (2017). Development of family leisure activities in the hotel and restaurant businesses: Psychological and pedagogical aspects of animation activity. Economics, Management and Sustainability,2(1), 67-75.
  • Iwasaki, Y., Mannell, R. C., Smale, B. J. A., & Butcher, J. (2005). Contributions of leisure participation in predicting stress coping and health among police and emergency response services workers. Journal of Health Psychology, 10(1), 77-99.
  • Jennings, N. R., & Wooldridge, M. J. (1998). Applications of intelligent agents. In N. R. Jennings and M. J. Wooldridge (Eds.), Agent Technology: Foundations, Applications, and Markets (pp. 3-28). Heidelberg: Springer Verlag.
  • Johnson, R. G., & Romney, M. (2017). Boosterism or audience Interest? An examination of self-promotion on sports-network highlight shows. Journal of Sports Media, 12(2), 1-23.
  • Kang, J.-H. (2002). A structural model of image-based and utilitarian decision-making processes for participant sport consumption. Journal of Sport Management, 16(3), 173-189.
  • Kang, J.-H., Bagozzi, R. P., & Oh, J. (2011). Emotions as antecedents of participant sport consumption decisions: A model integrating emotive, self-based, and utilitarian evaluations. Journal of Sport Management, 25(4), 314-325.
  • Karahanna, E., Straub, D. W., & Chervany, N. L. (1999). Information technology adoption across time: A cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quarterly, 23(2), 183-213.
  • Kuo, C.-T. (2013). The effect of recreational sport involvement on work stress and quality of life in central Taiwan. Social Behavior and Personality, 41(10), 1705-1715.
  • Kwak, D. H. and Kang, J-H. (2009). Symbolic purchase in sport: The roles of self-image congruence and perceived quality. Management Decision, 47(1), 85-99.
  • Lanaj, K., Chang, C. H., & Johnson, R. E. (2012). Regulatory focus and work-related outcomes: A review and meta-analysis. Psychological Bulletin, 138(5), 998-1034.
  • Leary, M. R. (2019). Self-presentation: Impression management and interpersonal behavior. Routledge.
  • Lee, W., & Shin, S. J. (2018). Effects of product smartness on satisfaction: Focused on the perceived characteristics of smartphone. Journal of Theoretical and Applied Electronic Commerce Research, 13(2), 11-14.
  • Lee, W. J. (2019). Evaluating perceived smartness of product from consumer’s point of view: The concept and measurement. The Journal of Asian Finance, Economics and Business (JAFEB), 6(1), 149-158.
  • Lin, C-Y., Chao, Y-C., & Tang, T-W. (2017). Why not be smarter? Examining the factors that influence the behavioral intentions of non-smartphone users. Industrial Management & Data Systems, 117(1), 32-49.
  • Lewis, W., Agarwal, R., & Sambamurthy, V. (2003). Sources of influence on beliefs about information technology use: An empirical study of knowledge workers. MIS quarterly, 27(4), 657-678.
  • Li, R., Huang, Q., Chen, X., Zheng, B., & Liu, H. (2018, January). Understanding the Adoption of Smart Community Services: Perceived Usefulness, Enjoyment, and Affective Community Commitment. In Proceedings of the 51st Hawaii International Conference on System Sciences, pp. 2496-2505.
  • Lynch, T. (2013). Community collaboration through sport: Bringing schools together. Australian and International Journal of Rural Education, 23(1), 9-22.
  • Miche, M., Schreiber, D., & Hartmann, M. (2009). Core services for smart products. In 3rd European Workshop on Smart Products, 19 (November), 1-4.
  • Moon, J.-W., & Kim, Y.-G. (2001). Extending the tam for a world-wide-web context. Information and Management, 38(4), 217-230.
  • Morosan, C., & Jeong, M. (2008). Users´ perceptions of two types of hotel reservation web sites. International Journal of Hospitality Management, 27(2), 284-292.
  • Park, H. J., & Lee, H. S. (2014). Product smartness and use-diffusion of smart products: The mediating roles of consumption values. Asian Social Science, 10(3), 54-61.
  • Pavlou, P. A., & Fygenson, M. (2006). Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. MIS Quarterly, 30(1), 115-143.
  • Rijsdijk, S. A., & Hultink, E. J. (2009). How today's consumers perceive tomorrow's smart products. Journal of Product Innovation Management, 26(1), 24-42.
  • Rijsdijk, S. A., Hultink, E. J., & Diamantopoulos, A. (2007). Product intelligence: its conceptualization, measurement and impact on consumer satisfaction. Journal of the Academy of Marketing Science, 35(3), 340-356.
  • Rogers, E. M. (2003). Diffusion of innovations (5th ed.). New York: Free Press
  • Saló, A., Garriga, A., Rigall-I-Torrent, R., Vila, M., & Fluvià, M. (2014). Do implicit prices for hotels and second homes show differences in tourists’ valuation for public attributes for each type of accommodation facility? International Journal of Hospitality Management, 36, 120-129.
  • Schacter, D. L., Gilbert, D. T., Wegner, D. M. (2015). Psychology Introducing Psychology with Updates on DSM-5. New York, NY: Worth Publishers.
  • Segars, A. H. (1997). Assessing the unidimensionality of measurement: A paradigm and illustration within the context of information systems research. Omega, 25(1), 107-121.
  • Sigar, J. F. (2016). The Influence of perceived usefulness, perceived ease of use and perceived enjoyment to intention to use electronic money in manado. Jurnal EMBA: Jurnal Riset Ekonomi, Manajemen, Bisnis dan Akuntansi, 4(2), 498-507.
  • Suki, N. M., & Suki, N. M. (2011). Exploring the relationship between perceived usefulness, perceived ease of use, perceived enjoyment, attitude and subscribers’ intention towards using 3G mobile services. Journal of Information Technology Management, 22(1), 1-7.
  • Szymanski, D. M., Kroff, M. W., & Troy, L. C. (2007). Innovativeness and new product success: Insights from the cumulative evidence. Journal of the Academy of Marketing Science, 35(1), 35-52.
  • Szczechowicz, B. (2012). The importance of attributes related to physical activity for the tourism product's utility. Journal of Sport and Tourism, 17(3), 225-249.
  • Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144-176.
  • Titah, R., & Barki, H. (2009). Nonlinearities between attitude and subjective norms in information technology acceptance: A negative synergy? Mis Quarterly, 33(4),827-844.
  • Tjønndal, A., & Nilssen, M. (2019). Innovative sport and leisure approaches to quality of life in the smart city. World Leisure Journal, 61(3), 228-240.
  • Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal computing: Toward a conceptual model of utilization. MIS Quarterly, 15 (1), 125-143.
  • Trattner, A., Hvam, L., Forza, C., & Herbert-Hansen, Z. N. L. (2019). Product complexity and operational performance: A systematic literature review. CIRP Journal of Manufacturing Science and Technology, 25 (May), 69-83.
  • Van Bottenburg, M., & Salome, L. (2010). The indoorisation of outdoor sports: An exploration of the rise of lifestyle sports in artificial settings. Leisure Studies, 29(2), 143-160.
  • Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342-365.
  • Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.
  • Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3),425-478.
  • Walls, A., Okumus, F., Wang, Y., & Kwun, D. J.-W. (2011). Understanding the consumer experience: An exploratory study of luxury hotels. Journal of Hospitality Marketing & Management, 20(2), 166-197.
  • Webb, W. M., Marsh, K. L., Schneiderman, W., & Davis, B. (1989). Interaction between self-monitoring and manipulated states of self-awareness. Journal of Personality and Social Psychology, 56(1), 70-80.
  • Wu, C. H.-J., & Liang, R.-D. (2009). Effect of experiential value on customer satisfaction with service encounters in luxury-hotel restaurants. International Journal of Hospitality Management, 28(4), 586-593.

How Smartness of Leisure-Sports Appliances Influence Tourists' Intention to Use

Year 2022, Volume: 10 Issue: 3, 427 - 447, 01.09.2022
https://doi.org/10.30519/ahtr.939463

Abstract

The tourism and hospitality industries emphasize on indoor leisure-sport activities for tourists because these activities are less impacted by weather and provide enjoyment and relaxation to travelers, thereby enhancing their satisfaction. This study used the self-promotion perspective to establish a theoretical model to illustrate how the perceived usefulness of a product (in these cases, leisure-sports appliances) mediates the relationship between a tourist’s self-image and intention to use. Focusing on the users of treadmill, massage chair, Nintendo Wii, and hydrotherapy machine, a sample of 384 effective respondents was collected and analyzed with structural equation modelling by using AMOS 21.0. The study revealed several essential findings. First, product features like multifunctionality and reactivity significantly associate with a user’s self-image and perceived usefulness of a leisure-sports appliance. Product complexity positively relates to self-image but negatively relates to perceived usefulness, whereas automation positively relates to perceived usefulness but negatively relates to perceived self-image. Moreover, individual subjective norms significantly influence perceived usefulness and intention to use. Entertainment is not significant to an individual’s perceived usefulness but is significantly associated with a tourist’s intention to use. This study affirms the mediating role of perceived usefulness that connects self-image and intention to use.

References

  • Abd-Latif, R., Nor, M. M., Omar-Fauzee, M. S., Ahmad, A. R., & Karim, F. (2012). Influence of physical environment towards leisure time physical activity (LTPA) among adolescents. Procedia-Social and Behavioral Sciences, 38, 234-242.
  • Ahn, T. H., & Hosany, S. (2017). The effects of self-image congruence, tourists' experiences and satisfaction on behavioral intentions. Asia-Pacific Journal of Business, 8(1), 1-13.
  • Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94.
  • Bhattacherjee, A. (2002). Individual trust in online firms: Scale development and initial test. Journal of Management Information Systems, 19(1), 211-241.
  • Brown, S. A., & Venkatesh, V. (2005). Model of adoption of technology in households: A baseline model test and extension incorporating household life cycle. MIS Quarterly, 29(3), 399-426.
  • Brunner-Sperdin, A., & Peters, M. (2009). What influences guests' emotions? The case of high-quality hotels. International Journal of Tourism Research, 11(2), 171-183.
  • Cheung, C. M. K., & Lee, M. K. O. (2010). A theoretical model of intentional social action in online social networks. Decision Support Systems, 49(1), 24-30.
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
  • Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38(3), 475-487.
  • Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.
  • Di Palma, D., Cusano, P., Russo, C., & Ascione, A. (2019). New technologies in sport through the internet of things systems. Research Journal of Humanities and Cultural Studies, 5(1), 16-22.
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
  • Gebremichael, G. B., & Singh, A. I. (2019). Customers’ expectations and perceptions of service quality dimensions: A study of the hotel industry in selected cities of Tigray Region, Ethiopia. African Journal of Hospitality, Tourism and Leisure, 8 (5), 1-15.
  • Godbey, G. (2003). Leisure in your life: An exploration. State college, PA: Venture Publishing.
  • Higgins, E. T. (2000). Does personality provide unique explanations for behaviour? Personality as cross‐person variability in general principles. European Journal of Personality, 14(5), 391-406.
  • Horberg, E. J., Kraus, M. W., & Keltner, D. (2013). Pride displays communicate self-interest and support for meritocracy. Journal of Personality & Social Psychology, 105(1), 24-37.
  • Iryna, V., & Yuriy, V. (2017). Development of family leisure activities in the hotel and restaurant businesses: Psychological and pedagogical aspects of animation activity. Economics, Management and Sustainability,2(1), 67-75.
  • Iwasaki, Y., Mannell, R. C., Smale, B. J. A., & Butcher, J. (2005). Contributions of leisure participation in predicting stress coping and health among police and emergency response services workers. Journal of Health Psychology, 10(1), 77-99.
  • Jennings, N. R., & Wooldridge, M. J. (1998). Applications of intelligent agents. In N. R. Jennings and M. J. Wooldridge (Eds.), Agent Technology: Foundations, Applications, and Markets (pp. 3-28). Heidelberg: Springer Verlag.
  • Johnson, R. G., & Romney, M. (2017). Boosterism or audience Interest? An examination of self-promotion on sports-network highlight shows. Journal of Sports Media, 12(2), 1-23.
  • Kang, J.-H. (2002). A structural model of image-based and utilitarian decision-making processes for participant sport consumption. Journal of Sport Management, 16(3), 173-189.
  • Kang, J.-H., Bagozzi, R. P., & Oh, J. (2011). Emotions as antecedents of participant sport consumption decisions: A model integrating emotive, self-based, and utilitarian evaluations. Journal of Sport Management, 25(4), 314-325.
  • Karahanna, E., Straub, D. W., & Chervany, N. L. (1999). Information technology adoption across time: A cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quarterly, 23(2), 183-213.
  • Kuo, C.-T. (2013). The effect of recreational sport involvement on work stress and quality of life in central Taiwan. Social Behavior and Personality, 41(10), 1705-1715.
  • Kwak, D. H. and Kang, J-H. (2009). Symbolic purchase in sport: The roles of self-image congruence and perceived quality. Management Decision, 47(1), 85-99.
  • Lanaj, K., Chang, C. H., & Johnson, R. E. (2012). Regulatory focus and work-related outcomes: A review and meta-analysis. Psychological Bulletin, 138(5), 998-1034.
  • Leary, M. R. (2019). Self-presentation: Impression management and interpersonal behavior. Routledge.
  • Lee, W., & Shin, S. J. (2018). Effects of product smartness on satisfaction: Focused on the perceived characteristics of smartphone. Journal of Theoretical and Applied Electronic Commerce Research, 13(2), 11-14.
  • Lee, W. J. (2019). Evaluating perceived smartness of product from consumer’s point of view: The concept and measurement. The Journal of Asian Finance, Economics and Business (JAFEB), 6(1), 149-158.
  • Lin, C-Y., Chao, Y-C., & Tang, T-W. (2017). Why not be smarter? Examining the factors that influence the behavioral intentions of non-smartphone users. Industrial Management & Data Systems, 117(1), 32-49.
  • Lewis, W., Agarwal, R., & Sambamurthy, V. (2003). Sources of influence on beliefs about information technology use: An empirical study of knowledge workers. MIS quarterly, 27(4), 657-678.
  • Li, R., Huang, Q., Chen, X., Zheng, B., & Liu, H. (2018, January). Understanding the Adoption of Smart Community Services: Perceived Usefulness, Enjoyment, and Affective Community Commitment. In Proceedings of the 51st Hawaii International Conference on System Sciences, pp. 2496-2505.
  • Lynch, T. (2013). Community collaboration through sport: Bringing schools together. Australian and International Journal of Rural Education, 23(1), 9-22.
  • Miche, M., Schreiber, D., & Hartmann, M. (2009). Core services for smart products. In 3rd European Workshop on Smart Products, 19 (November), 1-4.
  • Moon, J.-W., & Kim, Y.-G. (2001). Extending the tam for a world-wide-web context. Information and Management, 38(4), 217-230.
  • Morosan, C., & Jeong, M. (2008). Users´ perceptions of two types of hotel reservation web sites. International Journal of Hospitality Management, 27(2), 284-292.
  • Park, H. J., & Lee, H. S. (2014). Product smartness and use-diffusion of smart products: The mediating roles of consumption values. Asian Social Science, 10(3), 54-61.
  • Pavlou, P. A., & Fygenson, M. (2006). Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. MIS Quarterly, 30(1), 115-143.
  • Rijsdijk, S. A., & Hultink, E. J. (2009). How today's consumers perceive tomorrow's smart products. Journal of Product Innovation Management, 26(1), 24-42.
  • Rijsdijk, S. A., Hultink, E. J., & Diamantopoulos, A. (2007). Product intelligence: its conceptualization, measurement and impact on consumer satisfaction. Journal of the Academy of Marketing Science, 35(3), 340-356.
  • Rogers, E. M. (2003). Diffusion of innovations (5th ed.). New York: Free Press
  • Saló, A., Garriga, A., Rigall-I-Torrent, R., Vila, M., & Fluvià, M. (2014). Do implicit prices for hotels and second homes show differences in tourists’ valuation for public attributes for each type of accommodation facility? International Journal of Hospitality Management, 36, 120-129.
  • Schacter, D. L., Gilbert, D. T., Wegner, D. M. (2015). Psychology Introducing Psychology with Updates on DSM-5. New York, NY: Worth Publishers.
  • Segars, A. H. (1997). Assessing the unidimensionality of measurement: A paradigm and illustration within the context of information systems research. Omega, 25(1), 107-121.
  • Sigar, J. F. (2016). The Influence of perceived usefulness, perceived ease of use and perceived enjoyment to intention to use electronic money in manado. Jurnal EMBA: Jurnal Riset Ekonomi, Manajemen, Bisnis dan Akuntansi, 4(2), 498-507.
  • Suki, N. M., & Suki, N. M. (2011). Exploring the relationship between perceived usefulness, perceived ease of use, perceived enjoyment, attitude and subscribers’ intention towards using 3G mobile services. Journal of Information Technology Management, 22(1), 1-7.
  • Szymanski, D. M., Kroff, M. W., & Troy, L. C. (2007). Innovativeness and new product success: Insights from the cumulative evidence. Journal of the Academy of Marketing Science, 35(1), 35-52.
  • Szczechowicz, B. (2012). The importance of attributes related to physical activity for the tourism product's utility. Journal of Sport and Tourism, 17(3), 225-249.
  • Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144-176.
  • Titah, R., & Barki, H. (2009). Nonlinearities between attitude and subjective norms in information technology acceptance: A negative synergy? Mis Quarterly, 33(4),827-844.
  • Tjønndal, A., & Nilssen, M. (2019). Innovative sport and leisure approaches to quality of life in the smart city. World Leisure Journal, 61(3), 228-240.
  • Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal computing: Toward a conceptual model of utilization. MIS Quarterly, 15 (1), 125-143.
  • Trattner, A., Hvam, L., Forza, C., & Herbert-Hansen, Z. N. L. (2019). Product complexity and operational performance: A systematic literature review. CIRP Journal of Manufacturing Science and Technology, 25 (May), 69-83.
  • Van Bottenburg, M., & Salome, L. (2010). The indoorisation of outdoor sports: An exploration of the rise of lifestyle sports in artificial settings. Leisure Studies, 29(2), 143-160.
  • Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342-365.
  • Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.
  • Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3),425-478.
  • Walls, A., Okumus, F., Wang, Y., & Kwun, D. J.-W. (2011). Understanding the consumer experience: An exploratory study of luxury hotels. Journal of Hospitality Marketing & Management, 20(2), 166-197.
  • Webb, W. M., Marsh, K. L., Schneiderman, W., & Davis, B. (1989). Interaction between self-monitoring and manipulated states of self-awareness. Journal of Personality and Social Psychology, 56(1), 70-80.
  • Wu, C. H.-J., & Liang, R.-D. (2009). Effect of experiential value on customer satisfaction with service encounters in luxury-hotel restaurants. International Journal of Hospitality Management, 28(4), 586-593.
There are 60 citations in total.

Details

Primary Language English
Subjects Tourism (Other)
Journal Section Research Article
Authors

Ching-chou Chen This is me 0000-0003-1794-4254

Chen-ju Lin 0000-0002-2847-4393

Publication Date September 1, 2022
Submission Date May 19, 2021
Published in Issue Year 2022 Volume: 10 Issue: 3

Cite

APA Chen, C.-c., & Lin, C.-j. (2022). How Smartness of Leisure-Sports Appliances Influence Tourists’ Intention to Use. Advances in Hospitality and Tourism Research (AHTR), 10(3), 427-447. https://doi.org/10.30519/ahtr.939463


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