Social conformity and suicide

Bussu, Anna; Detotto, Claudio; Sterzi, Valério

doi:10.1016/j.socec.2012.11.013

Cited by 8 publications

(8 citation statements)

References 49 publications

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“…The measures for openness to experience were adapted from John and Srivastava (1999). Social conformity and online word-of-mouth were assessed based on items from Bussu et al (2013). All items were measured using a five-point Likert scale, ranging from “strongly disagree” (1) to “strongly agree” (5).…”

Section: Data Collection and Samplingmentioning

confidence: 99%

What drives smartwatch adoption intention? Comparing Apple and non-Apple watches

Hsiao

2017

LHT

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Purpose The purpose of this study is twofold. First, an integrated model will be developed based on task-technology fit, innovation diffusion theory and the new product adoption model in order to explore the factors that affect smartwatch adoption. Second, the differences in the factors that affect users’ intention to adopt the Apple Watch and other smartwatches will be examined. Design/methodology/approach The data for this study were collected via an online survey questionnaire. The responses of 341 potential adopters of smartwatches were used to test the hypotheses in the research model. The casual model was assessed using partial least squares techniques. Findings The model can account for more than 50 percent of the variance in adoption intention. The research results affirm prior findings that perceived product attributes have relatively strong influence on adoption intention. Among these attributes, relative advantage has the strongest effect. Moreover, this study revealed differences between the antecedents of Apple watches and those of non-Apple watches. Practical implications The insights provided by this study can help smartwatch providers formulate better growth strategies. The findings also provide some directions for further development. Originality/value This study provides a better understanding of how the factors in the theories influence the adoption intentions of Apple watches and non-Apple watches.

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Section: Data Collection and Samplingmentioning

confidence: 99%

What drives smartwatch adoption intention? Comparing Apple and non-Apple watches

Hsiao

2017

LHT

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“…Conversely, isolation and limited social connectivity increase the risk of suicide (Durkheim, 1951/1997; Williams, 2007; Wray et al, 2011). Regions with sparse populations and relatively infrequent interpersonal encounters tend to have higher suicide rates (Bussu, Detotto, & Sterzi, 2013; Lester, 1994). Because we observed that honor states tend to have a lower population density than non-honor states (see Table 1), we controlled for this variable.…”

Section: Alternative Accountsmentioning

confidence: 99%

Untreated Depression Predicts Higher Suicide Rates in U.S. Honor Cultures

Crowder

Kemmelmeier

2014

Journal of Cross-Cultural Psychology

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Osterman and Brown demonstrated that U.S. honor states had higher rates of suicide than non-honor states and related this phenomenon to the higher incidence of depression and a reduced readiness to seek antidepression treatment in honor states. The present study critiques their research and re-examines the origin of the association between honor culture and suicide using a more expansive multi-year data set and controlling for culturally relevant factors (i.e., climate, gun ownership, population density, collectivism, access to health care, economic deprivation). Replicating some of their findings, higher rates of depression were related to higher levels of suicide in honor states but not non-honor states. In addition, we found state levels of antidepressant drug prescriptions to be related to lower levels of suicide in honor states but not non-honor states. A mediation analysis further revealed that levels of antidepressant drug prescriptions, but not levels of depression, mediated the relationship between honor culture and suicide, consistent with higher suicide rates in honor states being the result of a lack of treatment. The discussion focuses on clinical and cultural implications for suicide prevention in honor states.

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“…For instance, Park and Lester (2006), reviewing the divorce rate and the SMR in South Korea between 1983 and 2002, found that the SMR was positively associated with the divorce rate for the elderly populations. However, some research has found negative (Baller & Richardson, 2002) or non-significant (Bussu et al, 2013) effects of the divorce rate on the SMR. Meanwhile, suicide research has often considered ethnic heterogeneity (Moore et al, 2014) and residential mobility (Baller & Richardson, 2002) to measure the level of social disintegration.…”

Section: Socioeconomic Covariates Of the Suicide Mortality Ratementioning

confidence: 99%

“…Predicated on Durkheim's notion of anomic suicide, studies have usually investigated the impact of economic crises on the SMR with different economic indices, including the unemployment rate (Breuer, 2015;Yoon et al, 2015), local tax (Joo, 2017) and the house price index (Eun, 2019). Most studies found a positive impact of deteriorating economic conditions on the SMR, but some found non-significant effects (Bussu et al, 2013).…”

Section: Socioeconomic Covariates Of the Suicide Mortality Ratementioning

confidence: 99%

“…Recognising these limitations in traditional statistical models, a growing number of social science studies have used the spatial panel data model, an approach using time series observations of a number of spatial units, to examine the spatial and temporal dynamics of diverse social phenomena, including suicide (Breuer, 2015;Joo, 2017), homicide (Ye & Wu, 2011) and other social issues (Baltagi et al, 2012;Bussu et al, 2013). These studies not only visualise the spatial and temporal patterns of the investigated phenomena but also extend 'modelling possibilities as compared to the cross-sectional setting for spatial data' as expressed by Ye and Wu (2011).…”

Section: Introductionmentioning

confidence: 99%

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Analysing spatial and temporal dynamics of suicide in South Korea: An application of the dynamic spatial panel data model

Yeom

2021

Geospat Health

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This study examines the relationship between the suicide mortality rate and structural covariates in South Korea from 2008 to 2017 under Durkheim’s theory of suicide. It applies the dynamic spatial panel data model to explore both spatial and temporal aspects of the suicide phenomena recognising statistical limitations in previous suicide research based on either cross-sectional or longitudinal methodology. The results demonstrate that the suicide mortality rates in South Korea are spatially and temporally dependent on those of neighbouring units or its own time-lagged suicide mortality rates. Moreover, this study estimates that the divorce rate, unemployment rate and land price index, which are assumed to be proxies of social integration and regulation, significantly impact the suicide mortality rates. The results imply that deteriorating socioeconomic conditions are risk factors for the suicide mortality rate and suggests implementing policies to alleviate the high level of social disintegration caused by Korea’s deteriorating socioeconomic conditions.

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Social conformity and suicide

Cited by 8 publications

References 49 publications

What drives smartwatch adoption intention? Comparing Apple and non-Apple watches

What drives smartwatch adoption intention? Comparing Apple and non-Apple watches

Untreated Depression Predicts Higher Suicide Rates in U.S. Honor Cultures

Analysing spatial and temporal dynamics of suicide in South Korea: An application of the dynamic spatial panel data model

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