Value-based adoption of augmented reality: A study on the influence on online purchase intention in retail

The increasing use of digital technology-based retail services provides new opportunities for digital marketing. In this paper, we investigate how augmented reality (AR) technology can be leveraged as part of the firm's strategy. We explore the online purchase intention through AR smart glasses (ARSG), considering consumers' value assessment through a cost–benefit analysis and the influence of technical, experiential and social AR value drivers. We develop an augmented value-based adoption model addressing four main objectives: (1) Evaluate the effect of the perceived value of ARSG, (2) Evaluate the effect of immersion (experiential dimension), (3) Evaluate the effect of AR devices and technical complexity (technical dimension) and (4) Evaluate the importance of subjective norms (social dimension) on the online purchase intention through AR technology. Based on an ESIC Tech Lab experiment with two types of ARSG from market leaders and AR retail apps, the study uses survey data from 253 participants. The results suggest that the technical dimension has an ambiguous effect, with tech-complexity enhancing directly the perceived value of ARSG for online purchase while reducing the net value of consumers' economic cost–benefit analysis. We find strong evidence that the experiential and social AR dimensions (in the form of immersion and subjective norm) have a significant positive influence on consumers' purchase intention online, which are better predictors than the pure economic cost–benefit assessment (through usefulness and difficulty). Furthermore, the technical innovativeness of consumers is found to increase directly the online purchase intention through ARSG.     

Mental health symptoms,well-being and experiences of the COVID-19 pandemic: A mixed-methods practice-based study

The COVID-19 pandemic necessitated abrupt and substantial changes in daily life, and public health strategies intended to protect physical health can negatively affect mental health and well-being, especially for individuals with pre-existing mental health challenges. For this study, we surveyed a sample of clients (N = 94) in the summer of 2020 from a community mental health clinic in the northeast United States. A mixed-methods, concurrent triangulation design was used to (a) identify client subgroups on indicators of mental health (i.e. anxious and depressive symptoms) and emotional, psychological, and social well-being using latent profile analysis (LPA), and (b) within these subgroups, examine qualitative, thematic patterns in self-described challenges, benefits and learning related to the pandemic. The LPA revealed five distinct subgroups with various levels of symptoms and well-being, including Stagnant (moderate symptoms/moderate well-being), Languishing (high symptoms/low well-being), Flourishing (low symptoms, high well-being), Fortitudinous (high symptoms, moderate well-being) and Mobilized (moderate symptoms, high well-being). These divergent subgroups support the need to conceptualise mental health symptoms apart from well-being and assess for heterogeneous constellations of such constructs among psychotherapy clients. Thematic analysis offered additional insight into pandemic experiences within each subgroup, including attention to psychological, emotional, behavioural/lifestyle, relational, physical and ecological/contextual dimensions of self-experience, as well as the ways clients had adjusted to the pandemic's circumstances. Findings support nuanced conceptualisations of positive mental health and offer insight into coping and adaptation during this public health crisis.     

秒回?信息通讯技术时代的职场通讯压力

职场通讯压力是指员工想要快速回复基于信息通讯技术(information and communication technology, ICT)的工作消息而体验到的紧迫性, 现有研究对其成因及影响路径的探讨较为零散且缺乏系统性认识。基于工作要求-资源模型并结合努力-恢复模型, 讨论作为工作要求的ICT使用以及作为个人要求/资源的个体因素对职场通讯压力的前因作用; 探讨职场通讯压力因阻碍恢复活动而对员工身心健康以及工作和家庭领域产生的消极影响, 以期增进对职场通讯压力的全面了解, 丰富现有研究对ICT使用后果的认识, 并为未来研究的展开以及员工职业心理健康干预实践提供参考。     

“Being human”: A grounded theory approach to exploring how trainers on clinical psychology doctorate programmes decide whether or not to disclose personal experiences of psychological distress to clinical psychology doctorate trainees

Objective

Recent research and guidelines recommend that trainers on clinical psychology doctorate training programmes consider disclosing personal experiences of psychological distress to trainees. Disclosure is thought to promote cultures of openness, validate and normalise trainee distress, encourage trainee disclosure and help-seeking and challenge stigmatising narratives. However, little is known about how trainers decide whether, what or how to disclose. This study aims to address that gap by exploring the processes and factors involved in trainers deciding whether or not to disclose personal experiences of psychological distress to trainees, generating findings of relevance across counselling, psychotherapy and psychology training courses.

Methods

In-depth interviews were conducted with nine trainers on UK clinical psychology doctorate programmes from around the country and analysed in accordance with constructivist grounded theory methods.

Results

Findings indicated that participants valued disclosure personally and professionally but were wary of the dangers of disclosure. Disclosure decisions were made by judging the context against internally held criteria. If criteria were not met, then disclosures were not made. Outcomes, whether positive or negative, served to reinforce the value of disclosure and the importance of managing risks, creating a positive feedback loop.

Conclusions

The findings of this study suggest factors that are important for trainers to consider when deciding whether or not to disclose. The six-factor framework developed may be useful for trainers to consider within reflective practice, supervision or during guided self-reflection in order to make safe, helpful and ethical decisions.     

Chinese child unsociability,maternal maladaptive parenting,and peer exclusion among preschoolers: A cross-lagged model

Previous research has consistently found that unsociability is linked to adjustment difficulties in Chinese children. However, far less attention has been paid to how parents and peers react when confronted with unsociable children. In this study, we explored the longitudinal linkages among Chinese preschoolers' unsociability, maladaptive parenting, and peer exclusion. Participants were mothers and teachers of N = 391 (M_age = 4.4 years, SD = 0.91 years; 54.5% boys) preschoolers attending eight kindergartens in Shanghai, People's Republic of China, followed over 8 months. Multi-source assessments were employed. Mothers rated children's unsociability and their maladaptive (physical hostility, verbal hostility, punishment) parenting practices, and teachers rated children's peer exclusion at each time point. Our results indicated that child unsociability contributed to later increases in both maladaptive parenting and peer exclusion. However, maladaptive parenting and peer exclusion could not predict later increases in unsociability. Results are discussed in terms of the implications of unsociability among Chinese children.     

Efficacy of a Therapist-Assisted Self-Help Internet-Based Intervention Targeting PTSD,Depression, and Insomnia Symptoms After a Disaster: A Randomized Controlled Trial

This study aimed at evaluating the efficacy of an online CBT intervention with limited therapist contact targeting a range of posttraumatic symptoms among evacuees from the 2016 Fort McMurray wildfires.One hundred and thirty-six residents of Fort McMurray who reported either moderate PTSD symptoms (PCL-5 ≥ 23) or mild PTSD symptoms (PCL-5 ≥ 10) with moderate depression (PHQ-9 ≥ 10) or subthreshold insomnia symptoms (ISI ≥ 8) were randomized either to a treatment (n = 69) or a waitlist condition (n = 67). Participants were on average 45 years old, and mostly identified as White (82%) and as women (76%). Primary outcomes were PTSD, depression, and insomnia symptoms. Secondary outcomes were anxiety symptoms and disability. Significant Assessment Time × Treatment Condition interactions were observed on all outcomes, indicating that access to the treatment led to a decrease in posttraumatic stress (F[1,117.04] = 12.128, p = .001; d = .519, 95% CI = .142–.895), depression (F[1,118.29] = 9.978, p = .002; d = .519, 95% CI = .141–.898) insomnia (F[1,117.60] = 4.574, p = .035; d = .512, 95% CI = .132–.892), and anxiety (F[1,119.64] = 5.465, p = .021; d = .421, 95% CI = .044–.797) symptom severity and disability (F[1,111.55] = 7.015, p = .009; d = .582, 95% CI = .200–.963). Larger effect sizes (d = 0.823–1.075) were observed in participants who completed at least half of the treatment. The RESILIENT online treatment platform was successful to provide access to specialized evidence-based mental health care after a disaster.     

Examining Influences on Problem Recognition and Help-Seeking for Child Externalizing Behaviors Among African American Mothers

Childhood behavior problems are one of the most common clinical referrals. If left untreated, these behaviors can result in detrimental consequences to the child’s development (Wehmeier et al., 2010; Scholtens et al., 2012). Behavior parent training has been identified as first-line treatment for oppositional behavior; however, many racial minority families fail to enroll in behavior parent training. The current study examines maternal help-seeking for children displaying oppositional behavior in hopes to delineate variables that might influence parent training enrollment among African American families. Participants were 112 African American mothers who were provided child behavior vignettes and completed measures assessing factors related to problem recognition, parental attributions, child rearing values, mental health stigmatization, racial identity, and treatment utilization. Results found that when presented with a child displaying clinically significant externalizing child behaviors, slightly more than half of African American mothers recognized clinically significant child behavior problems. Mothers were more likely to engage in behavioral parent training if problematic behavior was recognized. Additionally, mothers’ attributions of child behavior, cultural values, and mental health stigmatization were influential to help seeking. This study supports the importance of considering cultural variables that impact problem recognition and subsequent treatment utilization among African American families.     

Cross-Lagged Analyses of Prolonged Grief and Depression Symptoms With Insomnia Symptoms

Prolonged grief disorder, characterized by severe, persistent and disabling grief, has recently been added to the DSM-5-TR and ICD-11. Treatment for prolonged grief symptoms shows limited effectiveness. It has been suggested that prolonged grief symptoms exacerbate insomnia symptoms, whereas insomnia symptoms, in turn, may fuel prolonged grief symptoms. To help clarify if treating sleep disturbances may be a viable treatment option for prolonged grief disorder, we examined the proposed reciprocal relationship between symptoms of prolonged grief and insomnia. On three time points across 6-month intervals, 343 bereaved adults (88% female) completed questionnaires to assess prolonged grief, depression, and insomnia symptoms. We applied random intercept cross-lagged panel models (RICLPMs) to assess reciprocal within-person effects between prolonged grief and insomnia symptoms and, as a secondary aim, between depression and insomnia symptoms. Changes in insomnia symptoms predicted changes in prolonged grief symptoms but not vice versa. Additionally, changes in depression and insomnia symptoms showed a reciprocal relationship. Our results suggest that targeting insomnia symptoms after bereavement is a viable option for improving current treatments for prolonged grief disorder.     

Premature conclusions about the signal-to-noise ratio in structural equation modeling research: A commentary on Yuan and Fang (2023)

In a recent article published in this journal, Yuan and Fang (British Journal of Mathematical and Statistical Psychology, 2023) suggest comparing structural equation modeling (SEM), also known as covariance-based SEM (CB-SEM), estimated by normal-distribution-based maximum likelihood (NML), to regression analysis with (weighted) composites estimated by least squares (LS) in terms of their signal-to-noise ratio (SNR). They summarize their findings in the statement that “[c]ontrary to the common belief that CB-SEM is the preferred method for the analysis of observational data, this article shows that regression analysis via weighted composites yields parameter estimates with much smaller standard errors, and thus corresponds to greater values of the [SNR].” In our commentary, we show that Yuan and Fang have made several incorrect assumptions and claims. Consequently, we recommend that empirical researchers not base their methodological choice regarding CB-SEM and regression analysis with composites on the findings of Yuan and Fang as these findings are premature and require further research.