Leveraging Green IS in Logistics

Logistics and especially road transportation account for a major proportion of global greenhouse gas emissions. Thus, increasing eco-sustainability is particularly important in this sector. Green information systems can support the transition towards more eco-sustainable business processes in logistics. To date research in Green IS has been dominated by conceptual and empirical studies, while the community has been reluctant to do design science research developing IS artifacts. Addressing this gap, we develop and evaluate a Green IS artifact for GHG emission tracking in road transportation processes – named Carbon Tracker. The design process was guided by design principles derived from prior Green IS literature. The artifact enables more eco-sustainable practices in logistics to emerge as it provides detailed information about GHG emissions that is indispensable for advanced organizational sense- and decision-making. The evaluation shows that the use of Carbon Tracker leads to more accurate and detailed information on emissions as well as more seamless and efficient workflows than today’s best-practice approaches. Thus, the paper demonstrates how Green IS can be leveraged for more eco-sustainable and efficient business processes and paves the way for further design-oriented research in the Green IS domain.     

Valuation of IT Investments Using Real Options Theory

Real Options Theory is often applied to the valuation of IT investments. The application of Real Options Theory is generally accompanied by a monetary valuation of real options through option pricing models which in turn are based on restrictive assumptions and thus subject to criticism. Therefore, this paper analyzes the application of option pricing models to the valuation of IT investments. A structured literature review reveals the types of IT investments which are valued with Real Options Theory in scientific literature. These types of IT investments are further investigated and their main characteristics are compared to the restrictive assumptions of traditional option pricing models. This analysis serves as a basis for further discussion on how the identified papers address these assumptions. The results show that a lot of papers do not account for critical assumptions, although it is known that the assumptions are not fulfilled. Moreover, the type of IT investment determines the criticality of the assumptions. Additionally, several extensions or adaptions of traditional option pricing models can be found which provide the possibility to relax critical assumptions. Researchers can profit from the results derived in this paper in two ways: First, it is demonstrated which assumptions can be critical for various types of IT investments. Second, extensions of option pricing models that relax critical assumptions are introduced.     

Measurement Characteristics of Aaker's Brand Personality Dimensions: Lessons to be Learned from Human Personality Research

By referring to research on the measurement of the Big Five personality factors, this article investigates measurement characteristics of brand personality (BP) dimensions. The authors apply a meta‐analysis and investigate the intercorrelations and reliabilities of the BP dimensions of Sincerity, Excitement, Competence, Sophistication, and Ruggedness, as suggested by Aaker (1997). Similar to the Big Five personality factors, the measurement of BP reveals interdependence of the dimensions and one General Personality Factor. Furthermore, the reliabilities reveal instability across method characteristics, for instance, the use of facets as opposed to traits in measuring BP drives up the reliabilities of those dimensions with a larger number of items (e.g., Sincerity). Finally, as with the Big Five, the BP dimensions show differential effects on performance measures (as assessed by brand attitude) and thus support the predictive power of the single dimensions. The findings provide insights into the dimensional structure of BP and its stability, and support the transferability of the Big Five personality factors to nonhuman domains. Importantly, the article outlines relevant avenues for future research on BP measurement.     

Index der wahrgenommenen Inflation oder EU-Verbraucherumfragen?

Nach der Euro-Umstellung Anfang 2002 entwickelte sich das Preisempfinden deutlich anders als der gemessene Verbraucherpreisindex. Inwieweit wird auch heute noch die Preisentwicklung von den Konsumenten übersch?tzt? Wie zuverl?ssig misst der von Hans Wolfgang Brachinger entwickelte „Index der wahrgenommenen Inflation“ dieses Ph?nomen? Zu welchen Ergebnissen kommen die von der EU-Kommission beauftragten Verbraucherumfragen? Die Verfasser geben ihre pers?nliche Auffassung wieder, die nicht unbedingt mit derjenigen der Deutschen Bundesbank übereinstimmen muss.     

Mittelstand und EU-Osterweiterung

Viele Umfragen deuten auf eine massive Abwanderung des deutschen Mittelstands in die neuen EU-Beitrittsl?nder hin. Inwieweit kann dieser Exodus empirisch untermauert werden? In welchen Aktivit?ten engagieren sich die deutschen mittelst?ndischen Unternehmen in den Beitrittsl?ndern? Welche Chancen und Risiken erwarten sie von der Osterweiterung?     

Social Capital,Income Diversification and Climate Change Adaptation: Panel Data Evidence from Rural Ethiopia

The choice between specialisation and diversification of income is driven by multiple, interacting factors, such as economies of scale and scope, risk considerations, context, and household characteristics. Using panel data from Ethiopia, we investigate the role of social capital and the covariate risk of climate change and their interaction. We find that households with greater social capital tend to be more specialised, implying that diversification and informal insurance are substitutes in the mitigation of risk. We also find that this effect is significantly weaker in regions more prone to climate change, which is consistent with the average farmer being aware that informal insurance is not an effective protection against risks that affect the entire social network. We use instrumental variable random effects estimation to account for the plausible endogeneity of social capital and we also establish that our results do not depend on the poorest and most constrained individuals in our sample.