While the impact of M&A on R&D and innovation examined at the aggregate level left inconclusive evidence, we find that at the level of the R&D process both the technological and the market relatedness between the target and the acquirer are helpful dimensions to identify effects. Using information on 31 in-depth cases of individual M&A deals we show that technological relatedness between M&A partners directly affects the inputs and organizational structure of the R&D process. M&A partners that operate in the same technological fields tend to reduce their R&D effort and rationalize the R&D process after the M&A compared to firms active in complementary technological fields that merge. These firms will furthermore face less technological competition in the technology market, but risk creating a more bureaucratic R&D process with a less motivated workforce. Market relatedness between partners, while having comparable aggregate effects on the R&D process, operates on different dimensions of the R&D process. Former rivals that engage in a M&A are significantly less likely to expand into new R&D fields or leverage their technological competences across the products and markets of the new entity. Non-rival firms that join forces, in contrast, significantly increase R&D output and productivity through these activities.

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Purpose – This paper offers quantitative evidence on how surplus food, i.e. safe food that is not sold to the intended customers, is generated and recovered within Italian manufacturing and retail firms. The purpose of this paper is to enlighten the process through which the food supply chain firms come to donate surplus food-to-food banks. Design/methodology/approach – Surplus food and recoverability were defined as the key terms of the problem. In total, 12 exploratory case studies were conducted to segment the manufacturing and retail sectors, to assess recoverability in each segment, and to establish the protocols for descriptive case studies. A multiple case-study approach was used and 83 firms were investigated. Findings – The primary source of surplus food is shown to result from products reaching the internal sell-by date, i.e. the date by which manufacturers and warehouses must supply perishable products. Donation to food banks is found to be a relevant management practice in the ambient and chilled manufacturing segments and at retail distribution centres, while frozen food companies and retail stores are found to rely nearly exclusively on waste disposal. Research limitations/implications – The degree to which our findings are specific to Italy is an issue to investigate. Future research should target surplus food management in farming and food services, and assess the cost effectiveness of alternative management channels. Practical implications – The paper highlights the changes required to increase the amount of food recovered by food banks. It also summarises the steps for establishing a structured procedure for managing surplus food within firms. Originality/value – The paper offers quantitative evidence on a relatively untapped yet socially relevant topic, i.e. the upstream process of food recovery and donation.

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Putting unsold food at good use is clearly a high-priority option according to the Food Waste Hierarchy, but we still know relatively little about the antecedents, strategies, and processes that make it possible within companies. This paper aims at explaining how food manufacturers can prevent the degradation of generated surplus food into waste. Based on an extensive literature review and 4 exploratory case studies, research questions are formulated about (i) available avenues for managing surplus food, and (ii) internal drivers that make these avenues viable and efficient. In order to adapt, refine and corroborate the conceptual framework, the research conducts 10 descriptive case studies of Italian food manufacturers. Results from the cross-case analysis highlight the multiplicity of reuse and redistribution options, and their viability over the product shelf life. The analysis also shows that a structured surplus food control system and partnerships with food aid organizations are necessary to reduce food waste

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Meta-analyses synthesise available data on a phenomenon to get a broader understanding of its determinants. This work proposes a two-step methodology. 1) Based on a broad dataset of residential water demand studies, it builds a meta-regression model to estimate mean and standard deviation of price elasticity of residential water demand. 2) The resulting meta-model serves as a basis for implementing an approach that directly simulates the range of price elasticities resulting from policy-relevant combinations of its determinants. This simulation approach is validated using the available dataset. Despite evidence of low average price elasticity, the scenarios simulated using our meta-regression estimates show that increasing block rate tariffs are associated with higher price elasticity, and stresses the importance of using state-of-the-art methodologies when evaluating the price response. This completes other methodological insights obtained from the meta-analysis itself. Policy implications on the use of pricing to bring about water savings are discussed.