U.K. consumers' perceived risk of buying products from emerging economies: A moderated mediation model

Although considerable research has been conducted on consumer attitude towards foreign products, most of these studies focus on the attitude of products from Western developed countries. Our study intends to investigate the effects of consumers' national identification and culture sensitivity on their perceived risk of buying products from Eastern developing countries. Especially, this study advances the literature by identifying the mediation effect of consumer ethnocentrism and the moderating effect of consumer value consciousness. Taking China and India as focal emerging economies, the consumer survey (n = 308) in the United Kingdom produced the following results. First, U.K. consumers' national identification is positively related to their perceived risk of buying Eastern products through consumer ethnocentrism, whereas their cultural sensitivity has a negative relationship. Second, the effect of consumer ethnocentrism on the perceived risk of buying Eastern products is moderated by consumer value consciousness. Third, value consciousness also attenuates the indirect relationships between national identification or cultural sensitivity and perceived risk via consumer ethnocentrism.     

The Glance software package

We describe the Glance software package, which takes advantage of tablet PC technology to control experiments that require participants to reconstruct complex stimuli, as with the Chase and Simon (1973) chess reconstruction task, and to present tests that require participants to refer briefly to critical displays, as with the digit-symbol task. Participants press the space bar, which allows access to the stimulus and, simultaneously, prohibits drawing on the tablet. At release of the space bar—or optionally, after some period of time—the stimulus is hidden, and the drawing tools are enabled. Output from Glance allows analysis as fine grained as each stroke or as coarse as the entire image.     

Development and use of behavior and social interaction software installed on Palm handheld for observation of a child’s social interactions with the environment

In settings in developing countries, children often socialize with multiple socializing agents (peers, siblings, neighbors) apart from their parents, and thus, a measurement of a child’s social interactions should be expanded beyond parental interactions. Since the environment plays a role in shaping a child’s development, the measurement of child-socializing agents’ interactions is important. We developed and used a computerized observational softwareBehavior and Social Interaction Software (BASIS) with a preloaded coding scheme installed on a handheld Palm device to record complex observations of interactions between children and socializing agents. Using BASIS, social interaction assessments were conducted on 573 preschool children for 1 h in their natural settings. Multiple screens with a set of choices in each screen were designed that included the child’s location, broad activity, state, and interactions with child-socializing agents. Data were downloaded onto a computer and systematically analyzed. BASIS, installed on Palm OS (M-125), enabled the recording of the complex interactions of child-socializing agents that could not be recorded with manual forms. Thus, this tool provides an innovative and relatively accurate method for the systematic recording of social interactions in an unrestricted environment.     

Self‐Esteem and Suicide Ideation in Psychiatric Outpatients

Depression, hopelessness, and low self‐esteem are implicated as vulnerability factors for suicide ideation. The association of self‐esteem with suicide ideation after controlling for depressed mood and hopelessness was examined. Adult psychiatric outpatients (N = 338) completed measures of self‐esteem, suicide ideation, hopelessness, and depression. Self‐esteem was operationalized as beliefs about oneself (self‐based self‐esteem) and beliefs about how other people regard oneself (other‐based self‐esteem). Each dimension of self‐esteem was negatively associated with suicide ideation after controlling for depression and hopelessness. Of the two dimensions of self‐esteem, other‐based self‐esteem was the more robust predictor of suicide ideation. These findings suggest that even in the context of depression and hopelessness, low self‐esteem may add to the risk for suicide ideation.     

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.     

A depictive neural model for the representation of motion verbs

In this paper, we present a depictive neural model for the representation of motion verb semantics in neural models of visual awareness. The problem of modelling motion verb representation is shown to be one of function application, mapping a set of given input variables defining the moving object and the path of motion to a defined output outcome in the motion recognition context. The particular function-applicative implementation and consequent recognition model design presented are seen as arising from a noun-adjective recognition model enabling the recognition of colour adjectives as applied to a set of shapes representing objects to be recognised. The presence of such a function application scheme and a separately implemented position identification and path labelling scheme are accordingly shown to be the primitives required to enable the design and construction of a composite depictive motion verb recognition scheme. Extensions to the presented design to enable the representation of transitive verbs are also discussed.     

Are driving simulators effective tools for evaluating novice drivers’ hazard anticipation,speed management,and attention maintenance skills?

Novice drivers (teen drivers with their solo license for 6 months or less) are at a greatly inflated risk of crashing. Post hoc analyses of police accident reports indicate that novice drivers fail to anticipate hazards, manage their speed, and maintain attention. These skills are much too broadly defined to be of much help in training. Recently, however, driving simulators have been used to identify those skills which differentiate the novice drivers from older, more experienced drivers in the areas of hazard anticipation and speed management. Below, we report an experiment on a driving simulator which compares novice and experienced drivers’ performance in the third area believed to contribute especially heavily to crashes among novice drivers: attention to the forward roadway. The results indicate that novice drivers are much more willing to glance for long periods of time inside the vehicle than are experienced drivers. Interestingly, the results also indicate that both novice and experienced drivers spend equal amounts of time glancing at tasks external to the vehicle and in the periphery. Moreover, just as a program has been designed to train the scanning skills that clearly differentiate novice from experienced drivers, one might hope that a training program could be designed to improve the attention maintenance skills of novice drivers. We report on the initial piloting of just such a training program. Finally, we address a question that has long been debated in the literature: Do the results from driving simulators generalize to the real world? We argue that in the case of hazard anticipation, speed management, and attention maintenance the answer is yes.