What about Passive Innovation Resistance? Investigating Adoption‐Related Behavior from a Resistance Perspective

Adoption literature has been dominated by a novelty‐seeking paradigm, whereas resistance to innovation has received considerably less attention as a means to explain and predict adoption‐related behavior. The lack of a good metric to assess consumers' predisposition to resist innovations has prevented the establishment of a common ground for empirical research and thus hampered progress to date. This paper develops and empirically validates a scale to measure individual differences in consumers' predisposition to resist innovations (hereafter, passive innovation resistance, or PIR). The proposed instrument entails a personality‐specific and situation‐specific measure that assesses individual differences in consumers' predisposition to resist innovations, emerging from their inclination to resist changes and exhibit status quo satisfaction. The scale represents a measure of the generic tendency to resist innovations and thus captures the notion of a general disposition to act in a consistent way in various situations. The results of multiple studies show that the PIR scale has good psychometric properties, and its relationships with other constructs conform to theoretical expectations. Furthermore, the PIR scale explains and predicts adoption‐related behaviors beyond the variance accounted for by traditionally investigated constructs such as innate innovativeness, big‐five personality dimensions, or demographic variables. These results clearly reveal the importance of PIR for determining adoption‐related behavior but contest a conceptualization of constructs that tap only novelty seeking at a high level as the direct antecedent of adoption. Research that attempts to explain and predict adoption‐related behavior can benefit from taking a resistance perspective as well.     

Land price diffusion across borders – the case of Germany

ABSTRACT

Land market regulations are often justified by the assumption that activities of foreign and non-agricultural investors drive up prices in domestic land markets. However, empirical knowledge about the dynamics of agricultural land prices across borders is sparse. Using the German reunification as a natural experiment, we study the effect of the former inner German border on the dynamics of agricultural land prices in East and West Germany. We apply a land price diffusion model with an error correction specification to analyse spatial agricultural land markets. A novel feature of our model is its ability to distinguish price diffusion within states and across state borders. We provide evidence for a persistent border effect given that the fraction of spatially integrated counties is larger within states than across the former border. Moreover, we observe non-significant error correction terms for many counties along the former border. From a policy perspective, it is striking to realize that even 25 years after German reunification, pronounced land price differences persist. It is quite likely that price diffusion through existing borders within the EU would take even more time given language barriers, different institutional frameworks, and information asymmetries between domestic and foreign market participants.     

News sentiment and sovereign credit risk

We explore the impact of media content on sovereign credit risk. Our measure of media tone is extracted from the Thomson Reuters News Analytics database. As a proxy for sovereign credit risk we consider credit default swap (CDS) spreads, which are decomposed into their risk premium and default risk components. We find that media tone explains and predicts CDS returns and is a mixture of noise and information. Its effect on risk premium induces a temporary change in investors’ appetite for credit risk exposure, whereas its impact on the default component leads to reassessments of the fundamentals of sovereign economies.     

Innovation Offshoring,Institutional Context and Innovation Performance: A Meta‐Analysis

Innovation offshoring (IO) has become a widespread management practice. Yet, evidence on the performance implications is inconsistent, and scattered across disciplines and contexts. We argue that the benefits firms can derive from IO depend on the institutional environment at home. Drawing on recent work on institutional theory in international business, we explore institutions that facilitate reverse knowledge transfer and/or institutional arbitrage with respect to innovation‐related activities. The results of our meta‐analysis that synthesizes evidence from 48 samples show that IO is related positively to innovation performance. As predicted, this relationship is moderated by differences in the institutional environments across countries. Specifically, when national innovation systems are weak at home, IO appears to enable institutional arbitrage strategy whereas Confucian cultures enable more effective reverse knowledge transfer. However, contrary to our expectations, the beneficial effects of IO appear to have diminished over time.