Awe and guilt: Desirability and feasibility appeals in social media green campaigns

As the world has become increasingly concerned about environmental plastic pollution, private and public sectors remain devoted to creating effective green marketing campaigns on social media platforms. Drawing upon construal level theory and appraisal tendency theory, this research examines the interaction effect of green ad appeals and two distinct emotions—awe and guilt—on consumers' social media engagement and pro-environmental intentions. The findings from two experimental studies demonstrate that when individuals experience awe, desirability (vs. feasibility) message appeals generate stronger engagement in social media green campaigns. In contrast, it was found that when individuals experience guilt, feasibility (vs. desirability) message appeals enhance social media engagement and pro-environmental behaviors more effectively. This research offers novel theoretical contributions to the existing body of literature and provides practical insights by suggesting that awe and guilt act as moderators leading to greater consumer responses when used with matching social media messages promoting green campaigns.     

Value co-creation and customer retention in services: Identifying a relevant moderator and mediator

This research explores the effects of the DART model of value co-creation on customer retention. To do so, the current research examines the moderating role of types of customer (i.e., corporate vs. retail) and the mediating effect of customer engagement. Two studies were conducted through structured surveys among 362 bank customers (Study 1) and 316 hotel customers (Study 2). Partial least-squares-based structural equation modeling (PLS-SEM) was employed to analyze the data. The results of Study 1 show that each element of the DART model significantly influences customer retention. The effects of dialog, risk assessment, and transparency on customer retention are found to be higher (lower) for corporate (retail) customers, while the effect of access on customer retention is higher (lower) for retail (corporate) customers. Study 2 further identified customer engagement as a mediator explaining the underlying mechanism in the links between each element of the DART model and customer retention. Theoretical contributions and managerial implications of the findings are discussed.     

The mere possession effect of shareable digital coupons: The mediating role of anticipated self-enhancement

Shareable digital coupons have emerged as a new marketing strategy. Prior literature on shareable coupons assumes that shareable coupons can play a role only after they have been shared with others. Surprisingly, we theorize that shareable coupons can come into play as early as when consumers merely possess them, even before consumers share them with others, an effect that precedes the effect of the actual coupon sharing. In this research, we show that the mere possession of shareable digital coupons (not necessarily the actual sharing) is able to induce anticipated self-enhancement among consumers. Hence shareable digital coupons are more effective than non-shareable digital coupons, and the effect is most pronounced among consumers with high image concerns. The higher coupon effectiveness of shareable digital coupons is reflected in consumers' greater urge/intention to acquire the coupon, intention to revisit, willingness to spend, as well as in firm's sales increase when products are promoted with shareable instead of non-shareable digital coupons. Our work contributes to the literature on shareable coupons, the mere possession effects, anticipated self-enhancement, and other-rewarding promotions, and is of important managerial value given the ease with which the shareability feature can be added to coupons.     

Category ratio: A search for an optimal solution to reduce choice overload

This paper endeavors to find an optimal solution to alleviate the harmful consequences of choice overload using assortment categorization. Past research on assortment categorization has primarily studied the type of category labels. Only a few studies focused on the number of category labels, and the extant research is inconclusive on the right number of labels. This paper argues that the number of options under each label is more important in reducing choice overload than the number of labels. We call the number of options under each label “category ratio”. We integrate the research from four streams to recommend an optimal range of category ratio. In a field and a lab experiment, we tested the optimal category ratio as an intervention in the reduction of choice overload. The results of both experiments found a significant reduction in choice overload for the optimal category ratio. In experiment 3, we manipulated the category ratio to test whether the optimal category ratio is better than the non-optimal category ratio. The results of experiment 3 found that consumers experienced more satisfaction for the optimal category ratio than both uncategorized assortment and non-optimal category ratio. Past research has found that fewer labels and uninformative categorization are not helpful in the choice process. This paper finds that a few labels are beneficial only when the category ratio is within the proposed optimal range. Uninformative labels also reduced choice overload when categorized using the optimal category ratio.     

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.     

Susceptibility to prosocial and antisocial influence in adolescence following mindfulness training

Mindfulness training programmes have shown to encourage prosocial behaviours and reduce antisocial tendencies in adolescents. However, less is known about whether training affects susceptibility to prosocial and antisocial influence. The current study investigated the effect of mindfulness training (compared with an active control) on self-reported prosocial and antisocial tendencies and susceptibility to prosocial and antisocial influence. 465 adolescents aged 11–16 years were randomly allocated to one of two training programmes. Pre- and post-training, participants completed a social influence task. Self-reported likelihood of engaging in prosocial and antisocial behaviours did not change post-training, and regardless of training group, participants showed a higher propensity for prosocial influence than for antisocial influence. Finally, participants were less influenced by antisocial ratings following both training programmes.     

Rapport-building: Chat versus in-person witness interviews

Tactics recommended for rapport-building consist of verbal (e.g., finding common ground or shared experiences) and non-verbal (e.g., affirmations, displaying empathy) behaviours. Most of the research on rapport, however, has examined it in in-person contexts, where both verbal and non-verbal behaviours are present. In this study, we were interested in the effectiveness of rapport-building when conducting online witness interviews via chat, which de-emphasises the use non-verbal rapport behaviours, compared to traditional in-person interviews. Participants (N = 131) experienced a virtual reality (VR) scenario depicting a mock crime and were interviewed either in person or online via the chat function in Skype. Participants perceived rapport more positively when interviewed in person for three measures: attentiveness, trust and respect and expertise. Two other measures, cultural similarity and connected flow, were not perceived differently across interview medium. Participants interviewed online via chat disclosed similar amounts of crime-related information and were just as accurate as participants interviewed in person. We found that in-person interviews yielded better rapport ratings than interviews via chat but were equally productive in terms of the quality of information obtained, as measured by crime-related details and accuracy. If witnesses are to be interviewed via chat, investigators must carefully consider how to compensate for the lack of those non-verbal rapport tactics that influence witnesses' perceptions of attentiveness, trust/respect and investigator's expertise.     

The role of effort type and intensity in children's decisions about effort-based outcomes

Despite the importance of persistence in early learning, we know little about how children reason about outcomes that result from their efforts. Here we examined the role of effort type (i.e., physical vs. cognitive) and intensity (i.e., high vs. low effort) in shaping children's decision making about effort-based rewards. Five- to 7-year-olds (N = 133) were assigned to one of four conditions (High Physical Effort, Low Physical Effort, High Cognitive Effort, Low Cognitive Effort) and completed a series of tasks to construct a toy. Tasks varied in the type (physical/cognitive) and intensity (high/low) of effort required to complete them. After constructing their toy, children completed a series of tasks to probe how much they valued that toy. Across conditions, children preferred their toy and gave it a higher monetary value, relative to a stranger's. However, when choosing their toy came at a cost, children no longer preferred it. Only children who built their toy through either cognitive or low effort were willing to incur a cost for their toy. Older children, across conditions, were also more likely to incur a cost for their toy. These findings demonstrate that by age five, children are sensitive to variations in effort type and intensity, and these factors shape how they evaluate effort-based rewards.     

Penalized optimal scaling for ordinal variables with an application to international classification of functioning core sets

Ordinal data occur frequently in the social sciences. When applying principal component analysis (PCA), however, those data are often treated as numeric, implying linear relationships between the variables at hand; alternatively, non-linear PCA is applied where the obtained quantifications are sometimes hard to interpret. Non-linear PCA for categorical data, also called optimal scoring/scaling, constructs new variables by assigning numerical values to categories such that the proportion of variance in those new variables that is explained by a predefined number of principal components (PCs) is maximized. We propose a penalized version of non-linear PCA for ordinal variables that is a smoothed intermediate between standard PCA on category labels and non-linear PCA as used so far. The new approach is by no means limited to monotonic effects and offers both better interpretability of the non-linear transformation of the category labels and better performance on validation data than unpenalized non-linear PCA and/or standard linear PCA. In particular, an application of penalized optimal scaling to ordinal data as given with the International Classification of Functioning, Disability and Health (ICF) is provided.     

IS THERE A DISTINCTIVE QUANTUM THEOLOGY?

Quantum mechanics (QM) is a favorite area of physics to feature in “science and religion” discussions. We argue that this is at least partly because the arcane results of QM can be deployed to make big theological claims by the linguistic sleight of hand of “register switching”—sliding imperceptibly from technical into everyday language using the same vocabulary. We clarify the discussion by deploying the formal mapping of QM into classical statistical mechanics (CSM) via the mathematical device of “Wick rotation.” This equivalence between QM and CSM suggests caution in claiming distinctiveness for quantum theologizing. After outlining two areas in which quantum insights nevertheless resonate with longstanding themes in theological reflection (hiddenness and visualizability), we suggest that both QM and CSM point to a theology of science in which scientists participate in the divine gaze on creation as imago Dei.