Purchasing decisions when complementary goods have a price category restriction: an analysis on regret and responsibility

Many times individuals make purchasing decisions about products of different price categories (premium or cheap), what allows to assess their level of risk. Furthering previous research on the impact of emotions in decision making, this paper analyzes financial behavior when complementary items are restricted to the price category of the main good and how regret and responsibility influence that decision. Experiment 1 (n=68) revealed that when individuals expect to buy complementary goods from the same price category, the expensive brand was preferred stronger than if there was no restriction. Experiment 2 (n=68) analyzed the same situation for when the outcome of the decision influences others besides the individual. Results showed that even considering that individuals feel higher regret and responsibility when restricted in their options, these emotions were not significant for their final choice

Gender and Cybersecurity: Consumer Awareness, Experience and Trust

In light of the growing epidemic of cyberattacks, it is important to understand how different groups within the general population connect information with attitudes and behaviors. Internet transactions become less of an option and more of a requirement for consumers and the workforce. This study explored the connection between awareness, experience, and trust with the goal of identifying communication strategies that will ultimately steer consumers toward healthy cyberbehaviors. Consumer trust in government and business organizations is the desired status quo for everyone. Awareness and experience are important modifying factors and both are addressable through strategic consumer communication campaigns. Understanding the different ways men and women think, feel, and act around key issues in cybersecurity is key to organizational success. Furthermore, investing in promotion of educated trust can help organizations avoid massive loyalty shifts if or when the next data breach occurs

Autonomic Computing: State of the Art - Promises - Impact

Software has never been as important as today – and its impact on life, work and society is growing at an impressive rate. We are in the flow of a software-induced transformation of nearly all aspects of our way of life and work. The dependence on software has become almost total. Malfunctions and unavailability may threaten vital areas of our society, life and work at any time. The two massive challenges of software are one hand the complexity of the software and on the other hand the disruptive environment. Complexity of the software is a result of the size, the continuously growing functionality, the more complicated technology and the growing networking. The unfortunate consequence is that complexity leads to many problems in design, development, evolution and operation of software-systems, especially of large software-systems. All software-systems live in an environment. Many of today’s environments can be disruptive and cause severe problems for the systems and their users. Examples of disruptions are attacks, failures of partner systems or networks, faults in communications or malicious activities. Traditionally, both growing complexity and disruptions from the environment have been tackled by better and better software engineering. The development and operating processes are constantly being improved and more powerful engineering tools are introduced. For defending against disruptions, predictive methods – such as risk analysis or fault trees – are used. All this techniques are based on the ingenuity, experience and skills of the engineers! However, the growing complexity and the increasing intensity of possible disruptions from the environment make it more and more questionable, if people are really able to successfully cope with this raising challenge in the future. Already, serious research suggests that this is not the case anymore and that we need assistance from the software-systems themselves! Here enters “autonomic computing” – A promising branch of software science which enables software-systems with self-configuring, self-healing, self-optimization and self-protection capabilities. Autonomic computing systems are able to re-organize, optimize, defend and adapt themselves with no real-time human intervention. Autonomic computing relies on many branches of science – especially computer science, artificial intelligence, control theory, machine learning, multi-agent systems and more. Autonomic computing is an active research field which currently transfers many of its results into software engineering and many applications. This Hauptseminar offered the opportunity to learn about the fascinating technology “autonomic computing” and to do some personal research guided by a professor and assisted by the seminar peers.:Introduction 5 1 What Knowledge Does a Taxi Need? – Overview of Rule Based, Model Based and Reinforcement Learning Systems for Autonomic Computing (Anja Reusch) 11 2 Chancen und Risiken von Virtual Assistent Systemen (Felix Hanspach) 23 3 Evolution einer Microservice Architektur zu Autonomic Computing (Ilja Bauer) 37 4 Mögliche Einflüsse von autonomen Informationsdiensten auf ihre Nutzer (Jan Engelmohr) 49 5 The Benefits of Resolving the Trust Issues between Autonomic Computing Systems and their Users (Marc Kandler) 6

Generation Y’s Behavioural Usage of Small Businesses’ Retail Websites in Canada

This research delves into the factors that influence Generation Y’s usage of Canadian small businesses’ retail websites in order to suggest how they can be attracted to use them more. Based on the Use of Technology Two (UTAUT2) theory, questionnaire survey and semi-structured interviews revealed linkages between Behavioural Intention, Habit, Facilitating Conditions and Use Behaviour with demographic variables moderating some relationships. Improving the website designs and social media marketing can entice Generation Y consumers

Understanding Perceived Trust to Reduce Regret

Trust is fundamental for promoting the use of online services, such as e-commerce or e-health. Understanding how users perceive trust online is a precondition to create trustworthy marketplaces. In this article, we present a domain-independent general trust perception model that helps us to understand how users make online trust decisions and how we can help them in making the right decisions, which minimize future regret. We also present the results of a user study describing the weight that different factors in the model (e.g., security, look&feel, and privacy) have on perceived trust. The study identifies the existence of a positive correlation between the user's knowledge and the importance placed on factors such as security and privacy. This indicates that the impact factors as security and privacy have on perceived trust is higher in users with higher knowledge. Keywords: perceived trust; trust decision; regret; security; privac

Understanding perceived trust to reduce regret

Trust is fundamental for promoting the use of online services, such as e-commerce or e-health. Understanding how users perceive trust online is a precondition to create trustworthy marketplaces. In this article, we present a domain-independent general trust perception model that helps us to understand how users make online trust decisions and how we can help them in making the right decisions, which minimize future regret. We also present the results of a user study describing the weight that different factors in the model (e.g., security, look&feel, and privacy) have on perceived trust. The study identifies the existence of a positive correlation between the user's knowledge and the importance placed on factors such as security and privacy. This indicates that the impact factors as security and privacy have on perceived trust is higher in users with higher knowledge. Keywords: perceived trust; trust decision; regret; security; privac