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Journal articles on the topic 'Socioemotional selectivity'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

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1

Jiang, David Scott, Timothy P. Munyon, Franz Kellermanns, and Michael Lane Morris. "Socioemotional Paradox? Examining Tensions in Socioemotional Wealth and Socioemotional Selectivity." Academy of Management Proceedings 2017, no. 1 (August 2017): 13222. http://dx.doi.org/10.5465/ambpp.2017.13222abstract.

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2

Pinquart, Martin, and Rainer K. Silbereisen. "Socioemotional selectivity in cancer patients." Psychology and Aging 21, no. 2 (2006): 419–23. http://dx.doi.org/10.1037/0882-7974.21.2.419.

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3

Hendricks, Jon, and Stephen J. Cutler. "Volunteerism and Socioemotional Selectivity in Later Life." Journals of Gerontology: Series B 59, no. 5 (September 2004): S251—S257. http://dx.doi.org/10.1093/geronb/59.5.s251.

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4

Carstensen, Laura L., Derek M. Isaacowitz, and Susan T. Charles. "Taking time seriously: A theory of socioemotional selectivity." American Psychologist 54, no. 3 (1999): 165–81. http://dx.doi.org/10.1037/0003-066x.54.3.165.

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5

Panagopoulos, Costas, and Charles Prysby. "Polls and Elections : Socioemotional Selectivity Theory and Vote Choice." Presidential Studies Quarterly 47, no. 3 (July 19, 2017): 552–60. http://dx.doi.org/10.1111/psq.12400.

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6

Wagstaff, Ruth A., Bob G. Knight, and Liam Hendry. "SOCIOEMOTIONAL SELECTIVITY THEORY AND THE PERCEPTION OF CHRONIC PAIN." Innovation in Aging 3, Supplement_1 (November 2019): S259. http://dx.doi.org/10.1093/geroni/igz038.968.

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7

Carstensen, Laura L. "Evidence for a Life-Span Theory of Socioemotional Selectivity." Current Directions in Psychological Science 4, no. 5 (October 1995): 151–56. http://dx.doi.org/10.1111/1467-8721.ep11512261.

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8

Cavanagh, Thomas M., Kurt Kraiger, and Kim L. Henry. "Age-Related Changes on the Effects of Job Characteristics on Job Satisfaction: A Longitudinal Analysis." International Journal of Aging and Human Development 91, no. 1 (March 22, 2019): 60–84. http://dx.doi.org/10.1177/0091415019837996.

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Older adults constitute an increasingly large share of the workforce. Older workers often contribute positively to organizational outcomes through characteristics such as deep organizational knowledge and long-standing client relationships. Thus, it is important to understand how to maintain or increase older workers’ job satisfaction, a variable that has been linked to positive work outcomes. In this study, several hypotheses regarding job satisfaction and age were derived from Carstensen’s socioemotional selectivity theory and were tested using longitudinal analysis of a cross-sequential sample. Supporting socioemotional selectivity theory, results showed that autonomy became increasingly important to job satisfaction as workers age. Contrary to the theory, annual income also became increasingly important to job satisfaction. We discuss the importance of our findings for theory, research, and practice.

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9

English, Tammy, and Laura L. Carstensen. "Selective narrowing of social networks across adulthood is associated with improved emotional experience in daily life." International Journal of Behavioral Development 38, no. 2 (January 13, 2014): 195–202. http://dx.doi.org/10.1177/0165025413515404.

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Past research has documented age differences in the size and composition of social networks that suggest that networks grow smaller with age and include an increasingly greater proportion of well-known social partners. According to socioemotional selectivity theory, such changes in social network composition serve an antecedent emotion regulatory function that supports an age-related increase in the priority that people place on emotional well-being. The present study employed a longitudinal design with a sample that spanned the full adult age range to examine whether there is evidence of within-individual (developmental) change in social networks and whether the characteristics of relationships predict emotional experiences in daily life. Using growth curve analyses, social networks were found to increase in size in young adulthood and then decline steadily throughout later life. As postulated by socioemotional selectivity theory, reductions were observed primarily in the number of peripheral partners; the number of close partners was relatively stable over time. In addition, cross-sectional analyses revealed that older adults reported that social network members elicited less negative emotion and more positive emotion. The emotional tone of social networks, particularly when negative emotions were associated with network members, predicted daily emotional experience. These findings were robust after taking into account demographic variables and physical health. The implications of these findings are discussed in the context of socioemotional selectivity theory and related theoretical models.

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10

Pruzan, Katherine, and Derek M. Isaacowitz. "An Attentional Application of Socioemotional Selectivity Theory in College Students." Social Development 15, no. 2 (May 2006): 326–38. http://dx.doi.org/10.1111/j.1467-9507.2006.00344.x.

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11

Perry, John T., J. Kirk Ring, and J. Christian Broberg. "Which Type of Advisors Do Family Businesses Trust Most? An Exploratory Application of Socioemotional Selectivity Theory." Family Business Review 28, no. 3 (June 8, 2014): 211–26. http://dx.doi.org/10.1177/0894486514538652.

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In this article, we introduce socioemotional selectivity theory (SEST) from psychology to the family business literature. Applying the theory to family businesses, we argue that a family business’s age influences whether it trusts family or professional business advisors most. Consistent with SEST, we find that business age relates to whether the family business emphasizes financial or socioemotional wealth more and that this wealth emphasis relates to whether family members or professional business advisors are trusted most. Based on these findings, we believe that SEST has much to offer to the study of family and nonfamily businesses.

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12

Isaacowitz, Derek M., Timothy B. Smith, and Laura L. Carstensen. "Socioemotional selectivity and mental health among trauma survivors in old age." Ageing International 28, no. 2 (March 2003): 181–99. http://dx.doi.org/10.1007/s12126-003-1023-7.

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13

Carstensen, Laura L. "Social and emotional patterns in adulthood: Support for socioemotional selectivity theory." Psychology and Aging 7, no. 3 (1992): 331–38. http://dx.doi.org/10.1037/0882-7974.7.3.331.

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14

Stirzaker, Rebecca, Laura Galloway, and Lauren Potter. "Business, Aging, and Socioemotional Selectivity: A Qualitative Study of Gray Entrepreneurship." Journal of Small Business Management 57, sup2 (November 1, 2019): 616–36. http://dx.doi.org/10.1111/jsbm.12516.

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15

Rosati, Alexandra G., Lindsey Hagberg, Drew K. Enigk, Emily Otali, Melissa Emery Thompson, Martin N. Muller, Richard W. Wrangham, and Zarin P. Machanda. "Social selectivity in aging wild chimpanzees." Science 370, no. 6515 (October 22, 2020): 473–76. http://dx.doi.org/10.1126/science.aaz9129.

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Humans prioritize close, positive relationships during aging, and socioemotional selectivity theory proposes that this shift causally depends on capacities for thinking about personal future time horizons. To examine this theory, we tested for key elements of human social aging in longitudinal data on wild chimpanzees. Aging male chimpanzees have more mutual friendships characterized by high, equitable investment, whereas younger males have more one-sided relationships. Older males are more likely to be alone, but they also socialize more with important social partners. Further, males show a relative shift from more agonistic interactions to more positive, affiliative interactions over their life span. Our findings indicate that social selectivity can emerge in the absence of complex future-oriented cognition, and they provide an evolutionary context for patterns of social aging in humans.

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16

Mark, Ruth E. "Understanding the individual with Alzheimer’s disease: Can socioemotional selectivity theory guide us?" Advances in Alzheimer's Disease 01, no. 03 (2012): 77–86. http://dx.doi.org/10.4236/aad.2012.13010.

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17

Yun, TaiWoong. "We Choose What Makes Us Less Happy : A Socioemotional Selectivity Theory Perspective." Korean Journal of Advertising 30, no. 5 (July 15, 2019): 145–68. http://dx.doi.org/10.14377/kja.2019.7.15.145.

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18

Lansford, Jennifer E., Aurora M. Sherman, and Toni C. Antonucci. "Satisfaction with social networks: An examination of socioemotional selectivity theory across cohorts." Psychology and Aging 13, no. 4 (1998): 544–52. http://dx.doi.org/10.1037/0882-7974.13.4.544.

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19

Okun, Morris A., and Amy Schultz. "Age and motives for volunteering: Testing hypotheses derived from socioemotional selectivity theory." Psychology and Aging 18, no. 2 (2003): 231–39. http://dx.doi.org/10.1037/0882-7974.18.2.231.

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20

Carstensen, Laura L., and Hal E. Hershfield. "Beyond Stereotypes: Using Socioemotional Selectivity Theory to Improve Messaging to Older Adults." Current Directions in Psychological Science 30, no. 4 (June 25, 2021): 327–34. http://dx.doi.org/10.1177/09637214211011468.

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The tremendous heterogeneity in functional and demographic characteristics of the over-65 age group presents challenges to effective marketing and public-health communications. Messages grounded on tacit assumptions that older people are frail, incompetent, and needy risk being overlooked by most of the older population; on the other hand, ignoring age-associated vulnerabilities is problematic. We argue that although traditional approaches to market segmentation based on chronological age often fail, reliable age differences in motivation influence the types of information that older people typically prefer, attend to, and remember, and these differences can be used to inform communication efforts. Socioemotional selectivity theory maintains that as future time horizons grow limited—as they typically do with age—emotional goals are prioritized over goals that focus on exploration. As time left becomes more limited, positive messages are remembered better than negative ones, and products that help people savor the moment are preferred over those that benefit the long-term future. In addition, emphasizing individual strengths and personal resilience is likely to be especially appealing to older people.

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21

Chu, Qiao, Daniel Grühn, and Ashley M. Holland. "Before I Die." GeroPsych 31, no. 3 (September 2018): 151–62. http://dx.doi.org/10.1024/1662-9647/a000190.

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Abstract. We investigated the effects of time horizon and age on the socioemotional motives underlying individual’s bucket-list goals. Participants were randomly assigned to one of three time-horizon conditions to make a bucket list: (1) an open-ended time horizon (Study 1 & 2), (2) a 6-month horizon (i.e., “Imagine you have 6 months to live”; Study 1 & 2), and (3) a 1-week horizon (Study 2). Goal motives were coded based on socioemotional selectivity theory and psychosocial development theory. Results indicated that time horizon and age produced unique effects on bucket-list goal motives. Extending past findings on people’s motives considering the end of life, the findings suggest that different time horizons and life stages trigger different motives.

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22

Lambert-Pandraud, Raphaëlle, Gilles Laurent, and Eric Lapersonne. "Repeat Purchasing of New Automobiles by Older Consumers: Empirical Evidence and Interpretations." Journal of Marketing 69, no. 2 (April 2005): 97–113. http://dx.doi.org/10.1509/jmkg.69.2.97.60757.

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In a large empirical study, the authors find that older consumers, who constitute an important market segment, repurchase a brand more frequently when they buy a new car. Older consumers consider fewer brands, fewer dealers, and fewer models, and they choose long-established brands more often. To interpret the results, the authors rely on four age-related theoretical perspectives: biological aging, cognitive decline, socioemotional selectivity, and change aversion.

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23

Cubrich, Marc, and Alexandra Petruzzelli. "Advancing our understanding of successful aging at work: A socioemotional selectivity theory perspective." Industrial and Organizational Psychology 13, no. 3 (September 2020): 369–73. http://dx.doi.org/10.1017/iop.2020.71.

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24

Sullivan-Singh, Sarah J., Annette L. Stanton, and Carissa A. Low. "Living with limited time: Socioemotional selectivity theory in the context of health adversity." Journal of Personality and Social Psychology 108, no. 6 (June 2015): 900–916. http://dx.doi.org/10.1037/a0039047.

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25

Uzer, Tugba, and Sami Gulgoz. "Socioemotional selectivity in older adults: Evidence from the subjective experience of angry memories." Memory 23, no. 6 (July 16, 2014): 888–900. http://dx.doi.org/10.1080/09658211.2014.936877.

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26

Thrasher, Gregory R., Benjamin Biermeier-Hanson, and Marcus W. Dickson. "Getting Old at the Top: The Role of Agentic and Communal Orientations in the Relationship Between Age and Follower Perceptions of Leadership Behaviors and Outcomes." Work, Aging and Retirement 6, no. 1 (October 6, 2019): 46–58. http://dx.doi.org/10.1093/workar/waz012.

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Abstract Leadership behaviors and the outcomes they foster have historically been central issues to organizational researchers and practitioners alike. Despite the continuing rise in the average age of the workforce, empirical research on leadership from a lifespan development perspective remains surprisingly rare. The current study applies socioemotional selectivity theory (SST) to address this gap in the literature in several ways. We test a holistic socioemotional model of age and leadership that examines dominance and amicability as agentic and communal mediators in the relationship between age and follower ratings of leadership behaviors and effectiveness. To accomplish this goal, we apply multisource data from a sample of 422 leaders with 2,016 follower ratings. We offer empirical support for a socioemotional model of age and leadership that highlights the role of communal shifts in the relationship between age and follower perceptions of leadership behaviors. Specifically, we find a positive mediating effect of amicability in the relationship between age and follower-rated relational-oriented leadership behaviors. Age also displayed a sequential mediating effect on effectiveness through amicability and relational-oriented leadership behaviors. Our results highlight the unique role that age-related changes in social orientations play in the perceptions of leadership behaviors and outcomes across the lifespan. Implications for research and practice are discussed.

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27

Tanikawa, Tomohiko, Soyeon Kim, and Yuhee Jung. "Top management team diversity and firm performance: exploring a function of age." Team Performance Management: An International Journal 23, no. 3/4 (June 13, 2017): 156–70. http://dx.doi.org/10.1108/tpm-06-2016-0027.

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Purpose Based on socioemotional selectivity theory, the authors aimed to develop and test hypotheses that identify the direct effect of top management team (TMT) age diversity on firms’ financial performance (return on equity [ROE], return on assets [ROA]) and the interactive effect of TMT age diversity and TMT average age on firms’ financial performance. Design/methodology/approach The paper presents results from a quantitative study of 867 TMTs in Korean manufacturing firms. Multiple hierarchical regression analysis was used to test the hypotheses. Findings The results show that TMT age diversity had a negative and significant main effect on ROE but not on ROA. They also indicate that the negative relationship between TMT age diversity and firm performance (ROE) was attenuated when the members of TMTs were relatively older. Originality/value First, this study extends existing TMT research, which mainly focuses on macro factors, such as industry and environment, by using micro factors, including TMT age diversity and TMT average age. Second, this paper combines and extends previous TMT studies, which have been dominated by either “property” or “tendency”, by examining the interactive effect of the distributional property (diversity) and central tendency (average) of TMT age on firms’ financial performance. Finally, this study indicates that socioemotional selectivity theory may be useful to explain the link between TMT age diversity and firms’ financial performance.

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28

Chang, Pamara F., Yoon Hyung Choi, Natalya N. Bazarova, and Corinna E. Löckenhoff. "Age Differences in Online Social Networking: Extending Socioemotional Selectivity Theory to Social Network Sites." Journal of Broadcasting & Electronic Media 59, no. 2 (April 3, 2015): 221–39. http://dx.doi.org/10.1080/08838151.2015.1029126.

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29

Carstensen, Laura L., and Joseph A. Mikels. "At the Intersection of Emotion and Cognition." Current Directions in Psychological Science 14, no. 3 (June 2005): 117–21. http://dx.doi.org/10.1111/j.0963-7214.2005.00348.x.

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Divergent trajectories characterize the aging mind: Processing capacity declines, while judgment, knowledge, and emotion regulation are relatively spared. We maintain that these different developmental trajectories have implications for emotion–cognition interactions. Following an overview of our theoretical position, we review empirical studies indicating that (a) older adults evidence superior cognitive performance for emotional relative to non-emotional information, (b) age differences are most evident when the emotional content is positively as opposed to negatively valenced, and (c) differences can be accounted for by changes in motivation posited in socioemotional selectivity theory.

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30

Melehin, A. I. "Socio-emotional selectivity in elderly and old age as a factor of subjective well-being." Клиническая и специальная психология 4, no. 3 (2015): 20–33. http://dx.doi.org/10.17759/cpse.2015040302.

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The article shows that the presence of social support, сonfidant network is associated with positive subjective well-being in elderly (55 - 74 years) and old age (75-90 years). However, certain types of social interaction can be considered as predictors of affective disorders and chronic somatic disorders in later ages as in normal aging and in neurodegenerative disorders. The purpose of this article is to familiarize professionals in the mental health of people of later ages with the theory of socio-emotional selectivity (Socioemotional Selectivity Theory) L.L. Carstensen, who makes a significant contribution to the understanding of the specificity and mechanisms of selection in social interaction in elderly and old age. Central mechanisms of socio-emotional selection in the later ages are the awareness of time and limited future time perspective, which enhances the awareness of mortality.

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31

Hicks, Joshua A., Jason Trent, William E. Davis, and Laura A. King. "Positive affect, meaning in life, and future time perspective: An application of socioemotional selectivity theory." Psychology and Aging 27, no. 1 (2012): 181–89. http://dx.doi.org/10.1037/a0023965.

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32

Chiarelli, Tássia Monique, and Samila Sathler Tavares Batistoni. "An analysis of socioemotional selectivity theory in the context of older adults’ use of Facebook." Educational Gerontology 47, no. 1 (December 10, 2020): 13–24. http://dx.doi.org/10.1080/03601277.2020.1849956.

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33

Marello, Madeline M., Julie Hicks Patrick, and Abigail M. Nehrkorn-Bailey. "(OLDER) PEOPLE REMEMBER HOW YOU MAKE THEM FEEL: AGE DIFFERENCES IN THE EFFECTS OF SOCIAL EXCHANGES." Innovation in Aging 3, Supplement_1 (November 2019): S178. http://dx.doi.org/10.1093/geroni/igz038.632.

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Abstract Socioemotional Selectivity Theory poses that as we age our motivations transition from knowledge focused to emotionally focused (Carstensen, 1995). This shift to emotional motivation increases the relevance of relationships and social interactions for older adults. We examined different aspects of social support: frequency of positive/negative social interactions, satisfaction with positive social interactions, and bothered by social interactions -- to investigate these effects on one’s global well-being. Negative and positive social exchanges are linked to psychological health (Newsom et al., 2005), however one’s perceptions of those social interactions are important to consider as well -- being satisfied or bothered by social interactions shows a better perspective of the individual’s experience than simply recording frequency. The results of our multi-group path analysis show that there are different effects of social supports on global well-being contingent on age, consistent with socioemotional selectivity theory. For adults under 30 years old (Mage = 24.0, range 18 to 29) social support did not significantly relate to well-being. For adults over 30 and under 50 (Mage = 38.9) frequency of positive social interactions is significantly related to well-being (B = .201). For adults over 50 (Mage = 58.8, range 50 to 87) the perception of social exchanges, not their frequency, are what influence well-being: both satisfaction with positive social interactions (B = .402) and being bothered by negative social interactions predict well-being (B = -.193). It is important to know that older adult’s perceptions of social exchanges effect their well-being, future directions are discussed.

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Carney, Amy Knepple, and Julie Patrick. "EFFECTS OF AGE ON CONNECTION TO NATURE AND POSITIVE AFFECT." Innovation in Aging 3, Supplement_1 (November 2019): S278. http://dx.doi.org/10.1093/geroni/igz038.1029.

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Abstract Socioemotional selectivity theory positis that when we feel our time as limited, when a person ages, emotion based goals become a priority (Carstensen, Isaacowitz, & Charles, 1999). Although previous studies have shown that all age groups benefit from a connection to nature (CN; Bisceglia, Perlman, Schaack, & Jenkins, 2009; Han, 2008; Mayer et al., 2009), there have been no studies conducted to determine if there are age differences in CN and how that relation contributes to positive affect. Analyses were conducted with a sample size of 152 participants with an average age of 37.55 years (SD = 15.64; Range 18 -89). Age was significantly positively associated with CN, r(151)=.16, p<.05. Additionally, an ANOVA showed that middle-aged to older adults reporting significantly higher CN than younger adults. The relation of positive affect to age and CN was then examined. In the analysis examining the effects of age and CN on positive affect, the model was significant, F(3, 146)=8.48, p<.05, R2 = .15. Both, CN, and age, uniquely contributed to the variance accounted for on positive affect, although, the interaction of CN and age did not uniquely contribute to the variance. These results may be indicative of socioemotional selectively theory, in that older adults were choosing connection to nature because it fulfilled more emotional activities/goals than the younger adults in the study. Because previous research has all but ignored the association of CN and age and their relation to positive affect, it should be considered in future research.

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35

Shi, Zhanbiao, Li Wang, and Huanhuan Li. "Age-Related Change in Emotional Experience in a Sample of Chinese Adults: A Preliminary Study." Psychological Reports 105, no. 1 (August 2009): 37–42. http://dx.doi.org/10.2466/pr0.105.1.37-42.

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Age-related change in emotional experience was explored in a Chinese community sample. 968 healthy adults (483 women, 485 men) ranging in age from 18 to 66 years ( M = 37.5, SD = 12.3) took part. The frequency of experiencing negative and positive emotion was self-reported on the general dimension scales of Positive and Negative Affect Scale–Expanded Form (PANAS–X). Regression analyses indicated that the frequency of negative affect decreased with age, and the frequency of positive affect was not significantly associated with age. These findings are similar to those found in Western samples, as discussed in relation to socioemotional selectivity theory.

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36

Liao, Hsiao-Wen, and Laura L. Carstensen. "Future Time Perspective." GeroPsych 31, no. 3 (September 2018): 163–67. http://dx.doi.org/10.1024/1662-9647/a000194.

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Abstract. The articles in the present volume enhance the understanding of the role of perceived time in human development. Together, they point to the multifaceted nature of perceived future time and the associations different aspects of time have with goals, preferences, and well-being. Specifically, the articles showcase antecedents and consequences of perceived time left in life, consider ways to optimize measurement of future time horizons, and advance novel questions about the neural correlates of domain-specific aspects of subjective time. Findings are considered within the framework of socioemotional selectivity theory. Future directions for research on time horizons are discussed.

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Segerstrom, Suzanne C., Edward J. Kasarskis, David W. Fardo, and Philip M. Westgate. "Socioemotional selectivity and psychological health in amyotrophic lateral sclerosis patients and caregivers: a longitudinal, dyadic analysis." Psychology & Health 34, no. 10 (March 23, 2019): 1179–95. http://dx.doi.org/10.1080/08870446.2019.1587441.

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Fung, Helene H., and Laura L. Carstensen. "Motivational Changes in Response to Blocked Goals and Foreshortened Time: Testing Alternatives to Socioemotional Selectivity Theory." Psychology and Aging 19, no. 1 (2004): 68–78. http://dx.doi.org/10.1037/0882-7974.19.1.68.

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Burnett-Wolle, Sarah, and Geoffrey Godbey. "Refining Research on Older Adults' Leisure: Implications of Selection, Optimization, and Compensation and Socioemotional Selectivity Theories." Journal of Leisure Research 39, no. 3 (September 2007): 498–513. http://dx.doi.org/10.1080/00222216.2007.11950119.

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Dinh, A., and J. A. Brown. "Examining communication technology usage among older adults with aphasia within the context of Socioemotional Selectivity Theory." Gerontechnology 18, no. 4 (December 31, 2019): 223–30. http://dx.doi.org/10.4017/gt.2019.18.4.004.00.

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Robertson, Sarah M. C., and Derek R. Hopko. "Emotional Expression During Autobiographical Narratives as a Function of Aging: Support for the Socioemotional Selectivity Theory." Journal of Adult Development 20, no. 2 (April 4, 2013): 76–86. http://dx.doi.org/10.1007/s10804-013-9158-6.

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Fung, H. H., F. S. Stoeber, D. Y. l. Yeung, and F. R. Lang. "Cultural Specificity of Socioemotional Selectivity: Age Differences in Social Network Composition Among Germans and Hong Kong Chinese." Journals of Gerontology Series B: Psychological Sciences and Social Sciences 63, no. 3 (May 1, 2008): P156—P164. http://dx.doi.org/10.1093/geronb/63.3.p156.

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Penningroth, Suzanna L., and Walter D. Scott. "Age-Related Differences in Goals: Testing Predictions from Selection, Optimization, and Compensation Theory and Socioemotional Selectivity Theory." International Journal of Aging and Human Development 74, no. 2 (March 2012): 87–111. http://dx.doi.org/10.2190/ag.74.2.a.

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Dudley, Nikki M., and Kristi S. Multhaup. "When Familiar Social Partners are Selected in Open-Ended Situations: Further Tests of the Socioemotional Selectivity Theory." Experimental Aging Research 31, no. 3 (July 1, 2005): 331–44. http://dx.doi.org/10.1080/03610730590948212.

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45

Lockenhoff, Corinna E., and Laura L. Carstensen. "Socioemotional Selectivity Theory, Aging, and Health: The Increasingly Delicate Balance Between Regulating Emotions and Making Tough Choices." Journal of Personality 72, no. 6 (December 2004): 1395–424. http://dx.doi.org/10.1111/j.1467-6494.2004.00301.x.

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Kim, Gwia, and Byoungho Ellie Jin. "Older female consumers’ environmentally sustainable apparel consumption." Journal of Fashion Marketing and Management: An International Journal 23, no. 4 (September 19, 2019): 487–503. http://dx.doi.org/10.1108/jfmm-04-2019-0068.

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Purpose Built on the socioemotional selectivity theory, the purpose of this paper is to analyze elderly female consumers’ consumption of environmentally sustainable apparel (ESA) according to their time perspective (TP) (expansive vs limited) and different types of advertising appeals (emotional vs rational and positive vs negative emotional appeals). Design/methodology/approach The study conducted a survey and experiments with 154 US female consumers who were 65 years of age or older. Data were analyzed through regression and ANCOVA. Findings The results showed that older female adults with an expansive TP tended to consume ESA, with their fashion consciousness moderating the results. Rational and either positive or negative emotional advertisements with environmental messages were found to encourage the higher purchase intentions of elderly consumers more effectively than advertisements with no environmental messages. Practical implications Apparel retailers are recommended to consider the factor of TP when encouraging environmental consumption. Environmental messages containing rational information and eliciting positive and negative emotions are suggested to promote purchase intention toward ESA among elderly consumers. Originality/value This study addressed an under-studied segment in ESA consumption – elderly female consumers – built on the socioemotional selective theory, and confirmed that this group’s ESA consumption can be explained by their perspective on time. In addition, this study confirmed which advertising appeals would effectively encourage their ESA consumption, and provided theoretical explanations for these findings.

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Ju, Ilyoung, Susan Bluck, and Hsiao-Wen Liao. "Future Time Perspective Moderates Consumer Responses to Nostalgic Advertising." GeroPsych 31, no. 3 (September 2018): 137–50. http://dx.doi.org/10.1024/1662-9647/a000193.

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Abstract. Humans remember their past and consider their future. Nostalgic advertising, focused on the personal past, increases positive consumer response to products. This research examines how future time perspective (FTP) moderates that effect. Based on socioemotional selectivity theory, the products studied represent goals individuals have when time feels limited (i.e., camera: familiar, socially focused, emotionally meaningful) or open-ended (i.e., VR-One: novel, information-focused, entertaining). As expected, ad-evoked nostalgia heightens positive consumer response to the camera, increasingly so when FTP feels limited (Study 1; N = 288). For the VR-One, ad-evoked nostalgia again increases positive response but less so when time feels limited (Study 2; N = 283). Thinking about how the past and the future interact to influence consumer preferences in adulthood is discussed.

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Polsinelli, Angelina J., Kelly E. Rentscher, Elizabeth L. Glisky, Suzanne A. Moseley, and Matthias R. Mehl. "Interpersonal Focus in the Emotional Autobiographical Memories of Older and Younger Adults." GeroPsych 33, no. 1 (March 2020): 3–14. http://dx.doi.org/10.1024/1662-9647/a000220.

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Abstract. The present study examined the interpersonal focus within autobiographical memories (AMs) of older and younger adults from the perspective of socioemotional selectivity theory (SST). Specifically, we measured interpersonal focus directly through rater codings (relational vs. individual focus) and social word use, and indirectly through personal pronoun use. Forty-five older ( Mage = 76.76) and 25 younger ( Mage = 18.64) adults recalled positive and negative AMs, which were then coded and processed through computerized text analysis software to obtain word-use counts. Consistent with SST, the positive AMs of older adults were more interpersonally focused compared to negative AMs and younger adults. The results suggest that the positive life experiences of older adults tend to be associated with a high degree of social importance and focus on others.

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Gasparini, Giulia, Mauro Sarrica, and Alberta Contarello. "Processi di regolazione emotiva e benessere emotivo nell'invecchiamento. uno studio sul modello della socioemotional selectivity theory di Carstensen." RICERCHE DI PSICOLOGIA, no. 1 (May 2012): 66–85. http://dx.doi.org/10.3280/rip2011-001004.

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L'incremento nelle aspettative di vita rappresenta per i Paesi industrializzati una sfida fondamentale. Modelli teorici recenti, come Positive Aging e Active Aging, suggeriscono di controbilanciare gli approcci che si concentrano esclusivamente sul declino fisico e psicologico, sottolineando la capacità che gli anziani hanno di mantenere una qualità di vita soddisfacente, sia a livello individuale che nella sfera delle relazioni sociali. Il presente contributo si riferisce principalmente alla Socioemotional Selectivity Theory (Carstensen, 1991), la quale indica che, con l'età, l'importanza relativa degli obiettivi cambia al fine di consentire e preservare esperienze emotive positive. L'indagine si concentra su due elementi principali: 1) la relazione tra emozioni ed età: si ipotizza che emozioni positive e negative non siano correlate e che l'invecchiamento non implichi necessariamente una riduzione delle prime ed un aumento delle seconde; 2) la selezione di partner e scopi significativi: si ipotizza che differenti scelte siano attuate in funzione dell'età e della condizione di vita, e che queste siano positivamente legate al benessere emotivo. Centocinquantaquattro partecipanti, giovani (n = 53), anziani attivi (n = 50) e istituzionalizzati (n = 51), hanno completato uno strumento carta-matita volto a indagare emozioni positive e negative, soddisfazione emotiva, scelta di partner sociali e obiettivi. Coerentemente con il modello di riferimento, i principali risultati indicano l'indipendenza tra emozioni positive e negative. Inoltre, gli anziani non riportano un decremento di emozioni positive ma, invece, un minor livello di rabbia e preoccupazione rispetto ai giovani. Inoltre, anziani attivi e giovani mostrano modalità di risposta simili. Tuttavia, contrariamente alle aspettative della SST, all'aumentare dell'età, avere scopi sociali importanti favorisce di per sé il benessere emotivo. I risultati indicano la necessità di approfondire i processi di invecchiamento non solo in relazione all'aspettativa di vita ma anche in relazione agli stilli di vita.

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Moss, Simon A., and Samuel G. Wilson. "Why Are Older People Often So Responsible and Considerate Even When Their Future Seems Limited? A Systematic Review." International Journal of Aging and Human Development 86, no. 1 (January 20, 2017): 82–108. http://dx.doi.org/10.1177/0091415017689883.

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Socioemotional selectivity theory assumes that older individuals tend to perceive their identity or life as limited in time and, therefore, prioritize meaningful relationships. Yet, other research shows that people who perceive their identity as limited in time tend to behave impulsively—contrary to the behavior of many older individuals. To redress this paradox, this article reports a systematic review, comprising 86 papers, that examined the consequences of whether individuals perceive their identity as limited or enduring. To reconcile conflicts in the literature, we propose that, before an impending transition, some individuals perceive their life now as dissociated from their future goals and, therefore, will tend to behave impulsively. Other individuals however, especially if older, tend to pursue a quest or motivation that transcends this transition, fostering delayed gratification, and responsible behavior.

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