Design recommendations for the creation of icons for the elderly

During employment of icons in order to represent system functions, specific user requirements from elderly people have not been scientifically gathered and thus will merely be considered during the process of system design. The survey, with explicit consideration of technology acceptance and experience of 120 elderly probands, looked into the comprehension of four different classes of non-animated graphical representations. It was shown that among elderly, the use of photos compared to pictograms or clip art leads to a significantly higher recognition rate. The mapping of actions rather than objects leads to a further reduction of the error probability and is thus, especially in the context of telemedicine, preferable for the target group.     

Wer wurde als homosexuell verfolgt?

This paper investigates the impact of the social structure on the persecution of homosexuals in Austria during the Nazi regime and the following democratic Republic. So far local studies for the German case have come to the conclusion that the middle class has been victim to the same, or event to a greater extent, of state-supported homophobia as the lower social class. An analysis of court files confirms this finding partly but reveals the working class as the mainly affected social group in the Austrian case. Social status, however, did only have a marginal influence on the length of imprisonment. The fact that different occupational groups were overrepresented among the sentenced homosexuals in the two considered periods of time (1938?C1944; 1945?C1955) points to systematic patterns of repression. As historical data is sparse we can only formulate hypotheses on why certain persons were more likely to be sentenced for being homosexual than others.     

Experimental evidence on external auditor reliance on the internal audit

With the revised version of ISA 610 (revised 2013), external auditors now face both requirements and guidance addressing their responsibilities when relying on the internal audit function (IAF). The reliance decision of an external auditor has important economic consequences and implications for the efficiency and effectiveness of the annual audit. Using an experimental design, we explore how German external auditors’ reliance decisions regarding the IAF are affected by varying levels of environmental factors, like client business risk, effectiveness of the internal control system, and quality of the corporate governance. Furthermore, the experiences of external auditors in collaborating with an IAF are taken into consideration. The results indicate main effects for each factor and a two-way interaction between the effectiveness of the internal control system and the quality of corporate governance. Specifically, a strong internal control system can compensate for weaknesses in corporate governance with respect to the confidence of external auditors in the IAF. Also, the type of audit procedure influences the willingness of auditors to rely on the IAF, and the inherent risk of the examined transaction strengthens the negative impact of client business risk on the reliance decision. Moreover, past experiences of external auditors with an IAF have a significant impact on their reliance decision. Overall, the findings suggest that organizations can foster internal–external auditor coordination by enhancing corporate governance effectiveness and strengthening the internal control system.

     

A note on efficient simulation of multidimensional spatial autoregressive processes

In applications of spatial statistics, it is necessary to compute the product of some matrix W of spatial weights and a vector y of observations. The weighting matrix often needs to be adapted to the specific problems, such that the computation of Wy cannot necessarily be done with available R-packages. Hence, this article suggests one possibility treating such issues. The proposed technique avoids the computation of the matrix product by calculating each entry of Wy separately. Initially, a specific spatial autoregressive process is introduced. The performance of the proposed program is briefly compared to a basic program using the matrix multiplication.     

Career Engagement: Investigating Intraindividual Predictors of Weekly Fluctuations in Proactive Career Behaviors

This study applied a microlevel perspective on how within‐individual differences in motivational and social‐cognitive factors affected the weekly fluctuations of engagement in proactive career behaviors among a group of 67 German university students. Career self‐efficacy beliefs, perceived career barriers, experienced social career support, positive and negative emotions, and career engagement were assessed weekly for 13 consecutive weeks. Hierarchical linear regression analyses showed that above average levels of career engagement within individuals were predicted by higher than average perceived social support and positive emotions during a given week. Conversely, within‐individual differences in self‐efficacy, barriers, and negative emotions had no effect. The results suggest that career interventions should provide boosts in social support and positive emotions.     

Data-driven operations management: organisational implications of the digital transformation in industrial practice

Abstract

The ongoing digital transformation on industry has so far mostly been studied from the perspective of cyber-physical systems solutions as drivers of change. In this paper, we turn the focus to the changes in data management resulting from the introduction of new digital technologies in industry. So far, data processing activities in operations management have usually been organised according to the existing business structures inside and in-between companies. With increasing importance of Big Data in the context of the digital transformation, the opposite will be the case: business structures will evolve based on the potential to develop value streams offered on the basis of new data processing solutions. Based on a review of the extant literature, we identify the general different fields of action for operations management related to data processing. In particular, we explore the impact of Big Data on industrial operations and its organisational implications.     

Politisierte Aufsichtsräte? Über die Entwicklung personeller Verflechtungen von Wirtschaft und Politik in Österreich (1989–2011)

Party affiliations of managers form the basis of social networks that are not only positioned between the mostly autonomous systems of politics and business, but are able to undermine the functional logics of these social systems. In the eighties Austrian business was dominated by the state to such an extent that political parties could vote their men of confidence into the boards of large stated-owned companies. This article quantifies the evolution of personal connections between business and politics in Austria (1983–2011) and explains changing patterns by pointing out shifts of power between the state and business. The focus of attention here is on multiple directors in supervisory boards of Austria’s big business. The study shows that businessmen have largely displaced the statesmen of industry who used to mediate conflicts between the state and business within a corporatist setting. “Proporz”, however, remains widespread and a change of government still leads to new constellations of political representation in supervisory boards of large companies. Political capital has thus not lost completely its value for top managers.     

Asset Accumulation: An Alternative Approach to Achieving the Millennium Development Goals

The United Nations Millennium Development Goals (MDGs) are unlikely to be achieved by 2015, owing to conceptual flaws in their design as well as the structural and political constraints faced during implementation at the country level. While criticism of the MDGs is widespread, innovative ideas on addressing these operational challenges are still scanty. By reviewing a number of experiences, including those of the Foundation for the Promotion of Local Development (PRODEL) in Nicaragua and the Ministry of Cities in Brazil, this article highlights the importance of incorporating an asset‐accumulation perspective into MDG‐related policies and programmes as a way of generating an enabling environment that opens up new opportunities for poverty reduction in the cities of low‐ and middle‐low‐income countries.     

A Polynomial Optimization Approach to Principal–Agent Problems

This paper presents a new method for the analysis of moral hazard principal–agent problems. The new approach avoids the stringent assumptions on the distribution of outcomes made by the classical first‐order approach and instead only requires the agent's expected utility to be a rational function of the action. This assumption allows for a reformulation of the agent's utility maximization problem as an equivalent system of equations and inequalities. This reformulation in turn transforms the principal's utility maximization problem into a nonlinear program. Under the additional assumptions that the principal's expected utility is a polynomial and the agent's expected utility is rational in the wage, the final nonlinear program can be solved to global optimality. The paper also shows how to first approximate expected utility functions that are not rational by polynomials, so that the polynomial optimization approach can be applied to compute an approximate solution to nonpolynomial problems. Finally, the paper demonstrates that the polynomial optimization approach extends to principal–agent models with multidimensional action sets.