Innovation in the bioeconomy – dynamics of biorefinery innovation networks

The bioeconomy has become a central concept in many strategies for future economic development, emphasising an increasing need for collaboration across industries and sectors for innovation. This paper unpacks aspects of collaboration in the bioeconomy by looking at the development of innovation networks for biorefinery technologies from 2004 to 2014 based on innovation project data from Swedish public funding agencies using a stochastic actor-oriented model for network analysis. The analysis shows that although the network grew significantly during the time period, indicating an increasing interest in biorefinery technology innovation, inter-sectoral collaboration is not favoured over intra-sectoral collaboration. As is known from previous work on social networks trust-building is a key driver for collaboration, as actors tend to form collaborations with previous partners or indirectly connected partners, creating clustered networks.     

Debt Relief as a Last Resort for the Lender of Last Resort?

The coronavirus crisis has led to a sharp increase in the debt-to-GDP ratios of the euro area member states. Without external support, access to the capital market could be seriously threatened in the medium term for Italy, but also for other member states. While the Pandemic Emergency Purchase Programme, which is designed as a monetary policy instrument, is regarded by some as a violation of the prohibition of monetary financing, the Next Generation EU recovery fund is likely to direct the fundamental structures of the European Union towards a fiscal union with considerable redistribution elements. This article analyses an alternative strategy, namely debt relief by the European System of Central Banks through an EU debt agency. Such a scheme would be possible without amending the EU treaties and would avoid negative equity at the central banks. The question is under what circumstances would this approach be suitable and proportionate?

     

Partner‐diversity effects on alliance termination in the early stage of green alliance formation: Empirical evidence from carbon‐emission reduction projects in Latin America

Partner diversity is a key influencer in interorganizational alliances, and several empirical studies have shown that its outcomes are contingent on alliance‐specific factors. We extend this research as well as the growing literature on green alliances, in which partner diversity is uniquely high. Specifically, we examine partner‐diversity effects on alliance termination in the early stage of green alliance formation. We hypothesize that in this context, size disparity increases termination likelihood, whereas organizational variety and cultural separation have the opposite effect. To test our hypotheses, we use a sample of 366 alliance projects located in Latin America and submitted to the Kyoto Protocol's Clean Development Mechanism for evaluation, validation, and registration from 2004 to 2014. Our findings contribute to several research streams and provide practical guidance for successful formation of alliances focused on environmental protection.     

HRM in dynamic environments: Exploitative,exploratory, and ambidextrous HR architectures

Abstract

The current economic crisis has brought to the fore the need for firms to deal with ambiguity and complexity. Hence, firms need a specific balance between exploration and exploitation in order to keep pace with varying and changing environmental conditions. Hitherto, there is limited research that has examined the nexus of HR architectures, ambidexterity, and environmental dynamics. In this conceptual paper we ask: How do HR architectures serve as a means of balancing exploitative and exploratory learning in different dynamic environments? We explain how exploratory, exploitative, and ambidextrous HR architectures with their embedded HRM systems on the business unit level enable organizations to meet different environmental requirements. Thus, firms in which heterogeneous demands for flexibility and for innovation co-exist need to develop internally differentiated HR architectures. In particular, we elucidate how critical the organization’s ability is to connect different HRM systems to create an ambidextrous HR architecture to find an appropriate balance between exploration and exploitation.     

If It Works,I like It: Consumer Acceptance of Food-Related Nudging

Abstract

The aim of the current study is to investigate factors that influence consumer acceptance of food-related nudging. Previous studies indicate that perceived effectiveness may positively influence acceptance of nudging, while limited freedom of choice may reduce acceptance. On this basis, acceptance, perceived effectiveness and perceived limited freedom of choice were measured for 11 different food-related nudges in a national representative sample of 455 adults. Five of the nudges were variations of placement alteration, while six were variations of informational labeling. Perceived effectiveness was identified as a significant positive predictor for acceptance of all of the investigated nudges (p?<?0.001), while perceived limited freedom of choice decreased acceptance of all investigated nudges (p?≤?0.02). Perceived effectiveness was the strongest predictor for acceptance of all types of nudges (β-values from 0.55 to 0.75), yet perceived limited freedom of choice was also a significant factor (β-values from ?0.07 to ?0.23).     

Green technology innovation: Anatomy of exploration processes from a learning perspective

This paper examines how established firms use their core competences to diversify their business by exploring and ultimately developing green technologies. In contrast to start‐ups dedicated to a green mission, diversifying into green markets by developing new products based on existing core competences has proven to be challenging. This is because the exploration processes to find a match between green technology opportunities and internal competences is complex and new to most established firms. This paper gains insights into exploration processes for green technologies and the learning modes and outcomes linked to these processes. We examined exploration processes at the microlevel in an embedded case study of an engineering firm using a combination of the “fireworks” innovation process model and organizational learning theory. First, we found that developing green technologies involves a long‐term exploratory process without guarantee of (quick) success and likely involves many exploration failures. Second, as exploration unfolds along multiple technology trajectories, learning occurs in individual exploration paths (on‐path), when new paths are pursued (path‐initiation), and when knowledge from one path is spilled over to subsequent paths (across‐paths). Third, to increase their chances for success, firms can increase the efficiency of exploration by fostering a failure‐friendly organizational culture, deliberately experimenting, and purposefully learning from failures.     

Are impatient farmers more risk-averse? Evidence from a lab-in-the-field experiment in rural Uganda

Based on data from a field-experiment in rural Uganda, we show that impatient farmers are more risk-averse than patient farmers. We relied on a simplified version of the Convex Time Budget (CTB) method to elicit farmers’ time preferences and on an independent method for eliciting their risk-preferences. We report two important findings. First, we show that our simplified CTB method applied to farmers from Uganda replicates the key findings of Andreoni and Sprenger’s lab experiments that involved student subjects. Second, we establish the existence of a negative correlation between risk tolerance and impatience, based on two independent measures.