Applying the Information-Motivation-Behavioral Skills Model of HIV- Risk to Youth in Psychiatric Care

This study examined the utility of cognitive and behavioral constructs (AIDS in-formation, motivation, and behavioral skills) in explaining sexual risk taking among 172 12–20–year-old ethnically diverse urban youths in outpatient psy-chiatric care. Structural equation modeling revealed only moderate support for the model, explaining low to moderate levels of variance in global sexual risk taking. The amount of explained variance improved when age was included as a predictor in the model. Findings shed light on the contribution of AIDS informa-tion, motivation, and behavioral skills to risky sexual behavior among teens re-ceiving outpatient psychiatric care. Results suggest that cognitive and behavioral factors alone may not explain sexual risk taking among teens whose cognitive and emotional deficits (e.g., impaired judgment, poor reality testing, affect dysregulation) interfere with HIV preventive behavior. The most powerful ex-planatory model will likely include a combination of cognitive, behavioral, developmental, social (e.g., family), and personal (e.g., psychopathology) risk mechanisms

Empirical Investigation of Omni-channel Customer Behavior: Multiple Mediation Effects of Website and Mobile Interactivity

While existing retail research has focused on retail channels in isolation from a single or multi-channel retailing perspective, there is a need to investigate shopping behavioral intention from an omni-channel and customer-centric retailing perspective. The main of this study is to analyze the customer omni-channel behavior under multiple mediating effects of website and mobile interactivity. Data collected from valid 287 respondents via both online and paper form. Partial least squares structural equation modeling (PLS-SEM) and Smart-PLS software have been used to test proposed hypotheses. The result underlined the significant positive effects of technology literacy, attitude towards website interactivity and attitude towards mobile device interactivity on customer’s behavioral intention. Moreover, website interactivity and augmented reality have highest impact attitude towards website interactivity and attitude towards mobile device interactivity respectively

KESUKSESAN HUBUNGAN PEMBELI DAN PEMASOK (Studi pada Industri Makanan dan Minuman di Jawa Tengah)

ABSTRACT This research aimed to examine the effect of information sharing, behavioral uncertainty on trust and the effect of information sharing, behavioraluncertainty on buyer supplier relationship performance. Research initiated by problems or reality in the field (research problem) and also from research by Gonzales (2011) which explained less than 50% collaboration could be success. The object of this research carried out the food and beverage industries in the Central Java. Respondent of this research are 100 people from different food and beverage industries in the Central Java. The model used in this study is a model of causality or relationship influence. The analysis technique to test the hypothesis is using SEM (Structural Equation Modeling) based component or variance or PLS (Partial Least Squares) with software Smart PLS. The result of analysis showed that information sharing has positive and significant effect on trust and buyer supplier relationship performance, and also behavioral uncertainty has negative and significant effect on trust and buyer supplier relationship performance. All aspect in this research must be attention by buyer and supplier as collaboration to increase buyer supplier relationship performance. Keywords: information sharing,behavioral uncertainty, trust, buyer supplier relationship performance

Tailoring persuasive health games to gamer type

Persuasive games are an effective approach for motivating health behavior, and recent years have seen an increase in games designed for changing human behaviors or attitudes. However, these games are limited in two major ways: first, they are not based on theories of what motivates healthy behavior change. This makes it difficult to evaluate why a persuasive approach works. Second, most persuasive games treat players as a monolithic group. As an attempt to resolve these weaknesses, we conducted a large-scale survey of 642 gamers' eating habits and their associated determinants of healthy behavior to understand how health behavior relates to gamer type. We developed seven different models of healthy eating behavior for the gamer types identified by BrainHex. We then explored the differences between the models and created two approaches for effective persuasive game design based on our results. The first is a one-size-fits-all approach that will motivate the majority of the population, while not demotivating any players. The second is a personalized approach that will best motivate a particular type of gamer. Finally, to make our approaches actionable in persuasive game design, we map common game mechanics to the determinants of healthy behavior

Refinement of SDBC Business Process Models Using ISDL

Aiming at aligning business process modeling and software specification, the SDBC approach considers a multi-viewpoint modeling where static, dynamic, and data business process aspect models have to be mapped adequately to corresponding static, dynamic, and data software specification aspect models. Next to that, the approach considers also a business process modeling viewpoint which concerns real-life communication and coordination issues, such as meanings, intentions, negotiations, commitments, and obligations. Hence, in order to adequately align communication and dynamic aspect models, SDBC should use at least two modeling techniques. However, the transformation between two techniques unnecessarily complicates the modeling process. Next to that, different techniques use different modeling formalisms whose reflection sometimes causes limitations. For this reason, we explore in the current paper the value which the (modeling) language ISDL could bring to SDBC in the alignment of communication and behavioral (dynamic) business process aspect models; ISDL can usefully refine dynamic process models. Thus, it is feasible to expect that ISDL can complement the SDBC approach, allowing refinement of dynamic business process aspect models, by adding communication and coordination actions. Furthermore, SDBC could benefit from ISDL-related methods assessing whether a realized refinement conforms to the original process model. Our studies in the paper are supported by an illustrative example

Vodcast Impact on Students\u27 Attitudes and Behavioral Intentions

Purpose: This paper uses structural equation modeling to assess the effectiveness of Vodcasts (video podcasts) as part of a university’s communication strategy with prospective students. Design/methodology/approach: Three theoretical models were tested using a structural equation model. Findings: We find that perceived informativeness, credibility, and irritation of the advertising are directly related to the value of the Vodcast advertising. However of those three factors, only the informativeness is directly related to the intent to take further action toward enrollment. In addition, while prior work has suggested that perceived entertainment of advertising positively influences its perceived value, we find that for these university Vodcasts, perceived entertainment is not a statistically significant factor. Research limitations/implications: The results suggest that for Vodcasts used for these purposes, less attention should be given to entertainment value, and more attention should be focused on providing useful information in a manner that is credible and not irritating to students. Originality/value: Vodcasts have become part of the Internet multimedia experience and have been integrated into universities’ web-based promotion strategies. While prior work has examined general advertising on the web, few studies have considered the impact of the interactive medium of Vodcasts on attitudes and behavioral intentions

Automated Mapping of UML Activity Diagrams to Formal Specifications for Supporting Containment Checking

Business analysts and domain experts are often sketching the behaviors of a software system using high-level models that are technology- and platform-independent. The developers will refine and enrich these high-level models with technical details. As a consequence, the refined models can deviate from the original models over time, especially when the two kinds of models evolve independently. In this context, we focus on behavior models; that is, we aim to ensure that the refined, low-level behavior models conform to the corresponding high-level behavior models. Based on existing formal verification techniques, we propose containment checking as a means to assess whether the system's behaviors described by the low-level models satisfy what has been specified in the high-level counterparts. One of the major obstacles is how to lessen the burden of creating formal specifications of the behavior models as well as consistency constraints, which is a tedious and error-prone task when done manually. Our approach presented in this paper aims at alleviating the aforementioned challenges by considering the behavior models as verification inputs and devising automated mappings of behavior models onto formal properties and descriptions that can be directly used by model checkers. We discuss various challenges in our approach and show the applicability of our approach in illustrative scenarios.Comment: In Proceedings FESCA 2014, arXiv:1404.043