Cross-Cultural Evaluation of the International Affective Picture System on an Indian Sample

The International Affective Picture System (IAPS) is widely used in emotion and attention research. Currently, there is neither a standard database of affective images for use in research with Indian population nor data on the way people from India respond to emotional pictures in terms of different dimensions. In the present study, we investigated whether self-reported Indian ratings are comparable to the original normative ratings (based on a North American sample) to evaluate its usability in Indian research context. The ratings were obtained from a sample of eighty Indian participants (age range?=?18 to 29 years, M _age?=?23.7, SD?=?2.67, 45 % females) on a stratified representative sample of 100 IAPS pictures. Similar to the normative data collected from the North American sample in the original IAPS database, the ratings were collected across three dimensions – valence (how pleasant/attractive or unpleasant/aversive), arousal (how calm or excited was the intensity of activation), and dominance (how controlling). Our results indicate similarities in valence ratings, but differences in arousal and dominance ratings between the Indian and the North American samples. The relationship between arousal and valence showed a similar (but less curved) boomerang shaped distribution seen with the North American sample. Unlike the North American sample, slopes were higher and intercepts were different for the Indian sample. However, the Indian sample also showed positivity offset and negative bias like the North American sample. These affective ratings show a fair amount of similarity but care is needed especially with arousal values in using these pictures for research with Indian population. While there are subtle differences in the relationship between different affective dimensions, there are also major similarities across cultures in affective judgments.     

Emotions help memory for faces: Role of whole and parts

The role of holistic or parts-based processing in face identification has been explored mostly with neutral faces. In the current study, we investigated the nature of processing (holistic vs. parts) in recognition memory for faces with emotional expressions. There were two phases in this experiment: learning phase and test phase. In the learning phase participants learned face–name associations of happy, neutral, and sad faces. The test phase consisted of a two-choice recognition test (whole face, eyes, or mouth) given either immediately or after a 24-hour delay. Results indicate that emotional faces were remembered better than neutral faces and performance was better with whole faces as compared to isolated parts. The performance in immediate and delayed recognition interacted with emotional information. Sad eyes and happy mouth were remembered better in the delayed recognition condition. These results suggest that in addition to holistic processing, specific parts–emotion combinations play a critical role in delayed recognition memory.     

Risk perception and adoption of digital innovation in mobile stock trading

An increase in retail investors, trading platforms, and smartphones is facilitating digital transformation in stock trading. Investments in mobile-centered digitalization by trading firms are rapidly becoming a source of competitive advantage. Distinctive psychological aspects involving risks, make stock trading a unique individual decision-making behavior. The objective of the present research is to examine the determinants of retail investors' behavioral intentions (BI) for mobile stock trading (MoST). Across two studies using a mixed method approach we empirically test a framework comprising cognitive risk-mitigation factors, perceived risk (PR), perceived financial cost (PFC), and technology acceptance model (TAM) constructs. The results indicate information quality, privacy, and security protection to mitigate the risk perception involved in trading on mobile platforms. Further, we report the mediation of PR in the relationship between the cognitive risk-mitigating factors and BIs to adopt MoST. Moreover, we find PFC to moderate PR and the TAM constructs' relationship with BIs to adopt MoST. Our research has important theoretical contributions and managerial implications to understand digital adoption behavior by retail investors for MoST platforms.     

Human crowding and store messiness: Drivers of retail shopper confusion and behavioral intentions

With today's cut‐throat competition, brick and mortar retailers are engaging in various in‐store elements like ambience, visual design, and social factors to entice consumers. However, these environmental stimuli if not used properly can lead to retail shopper confusion that can negatively influence shopper behavioral intentions. Drawing on the theoretical argument that information overload facilitates retail shopper confusion, two experimental studies are conducted. The findings of both studies suggest a main effect of human crowding and store messiness for each dimension of retail shopper confusion—irritation, inefficiency, and helplessness. Mediating role of retail shopper confusion between human crowding, store messiness, and shopping behavioral intentions is also examined. Interactive impact of human crowding and store messiness suggests store messiness to be more problematic. The moderating role of shopping motivations (task vs. recreational) is also examined that suggests the negative effect of retail shopper confusion for consumers pursuing recreational shopping motivations. These findings across the two studies offer a new perspective that recommend the importance of organized retail store environments. Theoretical and practical implications are discussed.     

不同社会群体特征对内隐领导因素的影响

研究发现,中国人内隐领导理论的内容由个人品德、目标有效性、人际能力和多面性四个因素构成。不同的年龄、职业和教育水平等评分者的特点,对领导诸因素的评分有着显著的影响。综合分析发现,教育水平是影响内隐领导因素评分的主要变量。另外,各组都倾向于把人际能力作为领导最大的特质来加以评分。