Viewers\u27 perceptions of television commercials\u27 influence message appeals, product commercials and self-reported locus of control

In this study linkages between television viewers\u27 perceived locus of control, message appeals in commercials, and types of commercial product were studied within the context of household television use

Try Before You Buy: How to Design Information Systems to Enhance Consumer Willingness to Test Sustainable Innovations

More and more business organizations recognize the relevance of sustainable innovations as driving factor for their corporate strategies, products and processes. But while the concept of sustainability is generally ratified by employees and consumers, their willingness to actually use or buy such innovations can be low. One of the most important facilitators for the adoption of innovations is self-experience generated by testing the innovation. This paper provides insight on how sustainable innovation testing affects consumer mindsets and which barriers consumers face when considering testing a sustainable innovation. The study draws on the data from an in-depth interview study with seven providers and consumers of electric cars (as sustainable innovation) in business and private environments. Insights about the nature of consumer’s willingness to test are extracted and recommendations for the design and use of information systems as facilitators for testing sustainable innovations are derived

Towards Multi-Sourcing Maturity: A Service Integration Capability Model

When outsourcing IT services, many enterprises today resort to multi-sourcing. It allows them to reduce costs and assemble a best-of-breed service portfolio. However, this usually also increases complexity. Despite the economic importance of multi-sourcing, though, there is no systematic understanding of the capabilities required to successfully integrate interdependent services and to manage multi-sourcing. This paper develops a capability model for service integration in a grounded coding approach based on literature and expert interviews. The model identifies six key capabilities and 18 sub-capabilities. We evaluate its applicability and validity via an empirical survey and two in-depth case studies. In addition, provide various insights into the implementation of service integration functions. Our contribution should provide orientation for companies how to direct their transformation efforts. It outlines an agenda for future research and builds a solid foundation for maturity models to improve multi-sourcing readiness – ultimately leading to more effective multi-sourcing solutions

Recent advances in experimental techniques to probe fast excited-state dynamics in biological molecules in the gas phase : dynamics in nucleotides, amino acids and beyond

In many chemical reactions, an activation barrier must be overcome before a chemical transformation can occur. As such, understanding the behaviour of molecules in energetically excited states is critical to understanding the chemical changes that these molecules undergo. Among the most prominent reactions for mankind to understand are chemical changes that occur in our own biological molecules. A notable example is the focus towards understanding the interaction of DNA with ultraviolet radiation and the subsequent chemical changes. However, the interaction of radiation with large biological structures is highly complex, and thus the photochemistry of these systems as a whole is poorly understood. Studying the gas-phase spectroscopy and ultrafast dynamics of the building blocks of these more complex biomolecules offers the tantalizing prospect of providing a scientifically intuitive bottom-up approach, beginning with the study of the subunits of large polymeric biomolecules and monitoring the evolution in photochemistry as the complexity of the molecules is increased. While highly attractive, one of the main challenges of this approach is in transferring large, and in many cases, thermally labile molecules into vacuum. This review discusses the recent advances in cutting-edge experimental methodologies, emerging as excellent candidates for progressing this bottom-up approach

Effects of scopolamine on matching to sample paradigm and related tests in human subjects

This was a double-blind placebo-controlled study with a cross-over design to examine the effects of scopolamine on cognitive functions in young healthy subjects. Scopolamine hydrobromide was administered subcutaneously to 12 subjects (mean +/- SD age 23.8 +/- 2.2 years) at doses of 0.3 and 0.6 mg in comparison with two placebo conditions. Scopolamine at both doses produced marked sedation as rated by subjects and an observer. In the continuous performance test, vigilance was impaired by both doses of scopolamine. The span of apprehension test showed differing results (only the high dose of scopolamine showed a performance decrement only in the three-character version of the span of apprehension test). Significant impairment by both doses of scopolamine was seen in immediate and delayed free recall, continuous visual recognition, running word recognition and running picture recognition. While scopolamine caused a significant slowing in average reaction times for simultaneous matching as well as for delayed matching, subjects made more errors under scopolamine compared to placebo only in delayed matching, not in simultaneous matching. Also, the main outcome of matching to sample showed significant effects only in delayed matching, not in simultaneous matching. Notable in this study is the incongruity between the simultaneous matching test and the span of apprehension test on the one hand and the other cognitive tests used on the other. These results demonstrated that scopolamine has a greater effect on memory than on attention. Thus, the scopolamine-induced effects in the present study seem to be more relevant to Alzheimer's disease in an advanced phase than to normal aging. Copyright (C) 2003 S. Karger AG, Basel

Intelligent Decision Assistance Versus Automated Decision-Making: Enhancing Knowledge Workers Through Explainable Artificial Intelligence

While recent advances in AI-based automated decision-making have shown many benefits for businesses and society, they also come at a cost. It has long been known that a high level of automation of decisions can lead to various drawbacks, such as automation bias and deskilling. In particular, the deskilling of knowledge workers is a major issue, as they are the same people who should also train, challenge, and evolve AI. To address this issue, we conceptualize a new class of DSS, namely Intelligent Decision Assistance (IDA) based on a literature review of two different research streams---DSS and automation. IDA supports knowledge workers without influencing them through automated decision-making. Specifically, we propose to use techniques of Explainable AI (XAI) while withholding concrete AI recommendations. To test this conceptualization, we develop hypotheses on the impacts of IDA and provide the first evidence for their validity based on empirical studies in the literature

Automatically Extracting and Analyzing Customer Needs from Twitter: A “Needmining” Prototype

Automated and scalable elicitation of customer needs is still in its infancy. With the proposed “Need mining” prototype, we aim to enable automated customer need extraction from the micro blog platform Twitter