The Determinants of Technology Adoption in Italian Manufacturing Industries

The adoption of new technologies in Italian manufacturing industries is analysed using data for 13,334 firms selected from the 1990–92 Community Innovation Survey. The determinants of technology adoption are analysed in an econometric framework (logit model) which is a general test of different theoretical explanations of technological diffusion. We particularly refer to the rank, epidemic and information effects which significantly affect the use of new technology in Italian manufacturing industries. We use a set of explanatory variables which enables us to set up a well specified empirical model and to use odds ratios to determine the effect of their changes on the adoption probability, thus giving a more precise picture of the determinants of technology adoption.     

Switching costs in the US seed industry: Technology adoption and welfare impacts

We evaluate the role of brand and technology switching costs in the US soybean seed industry using a unique dataset of actual seed purchases by about 28,000 farmers from 1996 to 2016. Using a random coefficients logit model of demand, we estimate brand and technology switching costs, characterize the distributions of buyers’ willingness to pay for seed brands and the glyphosate tolerance (GT) trait, and assess the implications of brand and technology switching costs for farmers’ welfare, technology adoption, firm profits, and firm market shares. We find that farmers are willing to pay large premiums for brand labels, and even larger premiums for the GT trait, although there is considerable heterogeneity in these values. Switching costs play an important role in the soybean seed industry. Eliminating these costs would significantly increase buyers’ welfare, reduce seed prices and firm profits, decrease adoption of the GT trait, and impact industry consolidation by expanding smaller firms’ market shares.     

Can the small dairy farm remain competitive in US agriculture?

Smaller dairy farms in the US are observed to have higher costs than larger farms, and whether those higher costs are due to technology or inefficiency has implications for policy to address the small farm. If high cost of production on smaller farms is due to a higher cost frontier, then to make small farms competitive would require research to devise and design technology that is suitable for small farms. If instead high cost is due to inefficiency, then educational approaches are needed to ensure small dairy farms use technology efficiently. To determine the cause of higher costs on small farms, the cost of milk production by farm size was decomposed into frontier and efficiency components with a stochastic cost curve using data on USA dairy farms. Although the frontier cost of production decreases with farm size, that cost reduction is not as pronounced as a cost curve that includes inefficiency. The higher cost of production on many smaller farms is caused by inefficiency rather than technology.     

EFFECTS OF TECHNOLOGY ADOPTION ON PRODUCTIVITY AND INDUSTRY GROWTH: A STUDY OF STEEL REFINING FURNACES*

This paper examines the impact of new technology on plant‐level productivity in the Japanese steel industry during the 1950's and 1960's. We estimate the production function, considering the differences in technology between the refining furnaces owned by a plant. We find that a more productive plant was likely to adopt the new technology and that the adoption would be expected to occur immediately following the peak of the productivity level achieved with the old technology. The adoption of the new technology primarily accounted not only for the industry's productivity slowdown but also for the industry's remarkable growth.     

Technology Adoption in Online Social Networks

With the advances of information technology, online social networks are becoming increasingly important venues for technology adoption. However, although the dynamics of technology adoption in real world social networks have been well documented, technology adoption in online social networks remains relatively under‐explored. This study identifies the differences between online and offline social networks and proposes a framework to investigate the dynamics of technology adoption in online social networks. To illustrate the proposed research framework, this study employs behavior‐link panel data obtained from an open source software (OSS) development network to examine how online social networks affect the adoption of Subversion, the latest OSS version control technology. Based on social network theory, co‐membership is used to construct online social networks within the OSS development network. Methodologically, this study takes advantage of the panel dataset and addresses the issues of simultaneity and individual heterogeneity that frequently confound the relationship between network structure and adoption decision, and as a result it demonstrates a more compelling relationship between social networks and technology adoption. The results of this study reveal that social networks are major conduits for technology adoption in an online social network in terms of imitation, leadership, lock‐in, similarity, recency, and team size effects. In online social networks, one's decision to adopt a new technology is strongly influenced by the actions of the connected others. Project leaders have a stronger influence over other members in technology adoption decision making, even in informal virtual teams where traditional governance structures do not apply. Older projects exhibit stronger inertia and thus lack innovativeness. Similarities among projects facilitate faster adoption, and the effect of leadership attenuates in the networks with increasing project dissimilarity. Recent adoptions of technology within the networks, rather than more distant ones, have a stronger impact on subsequent adoption, implying the salience of memory over usage confidence, and increased size of a project team accelerates the rate of adoption. These results help in understanding the dynamics of technology adoption in online social networks, and provide useful guidelines for firms to promote technology and product innovation.     

THE ADOPTION OF STATE ELECTRICITY REGULATION: THE ROLE OF INTEREST GROUPS*

This paper examines the adoption of state electricity regulation around the beginning of the 20th century. I model this decision as a hazard rate to determine what influenced the adoption of state regulation. I find that adoption is positively correlated with capacity shortages, greater wealth and lower residential electricity penetration rates. These results suggest that state regulation responded to regulatory inefficiencies and residential consumer interests. In addition, adoption rates were higher in states that had a strong industrial and coal mining presence. These results are consistent with the interest group and contracting theories of regulation.     

Technology Adoption and the Emergence of Regional Asymmetries

The model explains the emergence of asymmetric productive structures among regions based on adoption of a quality improving technology. Firms' products are differentiated both in location and quality, location is given. We characterize symmetric and asymmetric equilibria of the two stage game in price and adoption. Asymmetric equilibria display partial adoption frequencies and regular geographical patterns of adoptions. The asymmetry of the economy has, often, a reverse U-shaped relation with the innovation size. Market integration is an obstacle for the full adoption of the new technology and favours the emergence of regional asymmetries.     

Product selection for newsboy-type products with normal demands and unequal costs

In this paper, we consider two newsboy-type products with unequal prices and costs. Both demands are independent and follow normal distributions with unknown parameters μ and σ. We study the product selection problem which deals with comparing two products and selecting the one that has a significantly higher profitability, in which the profitability is defined to the probability of achieving a target profit under the optimal ordering policy. The statistical hypothesis testing methodology is performed to tackle this selection problem. Critical value of the test is calculated to determine the selection decision. Sample size required for a designated power and confidence level is also investigated. An application example on comparing English-teaching magazines is presented to illustrate the practicality of our approach.     

New institutional arrangements and standard adoption: Evidence from small-scale fruit and vegetable farmers in Thailand

GlobalGAP is the most important private standard for producers in the Thai horticultural sector concerning access to high-value markets, especially to Europe. This paper presents an analysis of GlobalGAP adoption by small-scale fruit and vegetable farmers in Thailand focusing on GlobalGAP group certification, the costs and perceived benefits of GlobalGAP adoption, and the factors influencing standard adoption. In our research area, GlobalGAP group certification has encouraged the formation of new institutional arrangements between farmers, exporters and donors. Farmers participating in a development program were organized in certification groups where the Quality Management System (QMS) was either run by the donor, by the exporter, or by farmers themselves. Results of our adoption model suggest that support by donors, exporters and public–private partnerships are vital to enable small-scale farmers to adopt the standard. Furthermore, farmers are more likely to adopt if they are better educated and more experienced, and if they have access to female family labor, improved farming technology, and information and extension services.     

The co-responsibility levy — a misnomer?

The co-responsibility levy, recently adopted by the European Community, is a policy response designed to control the cost of the cereal surplus. The levy seeks to regain from farmers some of the price they receive for their cereals. This article, written before the adoption of the levy, argues that it is just as likely to raise revenue from consumers as from farmers. Other policy options are looked at which seek to reduce the actual size of the surplus and thus the associated costs.     

Impact of tissue culture banana technology on farm household income and food security in Kenya

While tissue culture (TC) technology for vegetative plant propagation is gradually gaining in importance in Africa, rigorous assessment of broader welfare effects for adopting smallholder farm households is lacking. Using survey data and accounting for selection bias in technology adoption, we analyze the impact of TC banana technology on household income and food security in Kenya. To assess food security outcomes, we employ the Household Food Insecurity Access Scale (HFIAS) – a tool that has not been used for impact assessment before. Estimates of treatment-effects models show that TC banana adoption, combined with improved crop management, causes considerable increases in farm and household income. Technology adoption also reduces relative food insecurity in a significant way. These results indicate that TC technology can be welfare enhancing for adopting farm households. Adoption should be further promoted through upscaling appropriate technology delivery systems.     

Policy-Induced Technology Adoption: Evidence from the U.S. Lead Phasedown

Theory suggests that economic instruments, such as pollution taxes or tradable permits, can provide more efficient technology adoption incentives than conventional regulatory standards. We explore this issue for an important industry undergoing dramatic decreases in allowed pollution – the U.S. petroleum industry's phasedown of lead in gasoline. Using a duration model applied to a panel of refineries from 1971–1995, we find that the pattern of technology adoption is consistent with an economic response to market incentives, plant characteristics, and alternative policies. Importantly, evidence suggests that the tradable permit system used during the phasedown provided incentives for more efficient technology adoption decisions.     

Predicting the cost of environmental management system adoption: the role of capabilities,resources and ownership structure

This research explores why some facilities accrue greater costs when adopting an environmental management system (EMS) and why costs vary among three different ownership structures. Using survey data of organizations that documented their EMS adoption costs over a 3‐year period, the results show that publicly traded facilities had stronger complementary capabilities prior to EMS adoption and therefore lower adoption costs. By contrast, government facilities and privately owned enterprises had fewer capabilities and accrued higher EMS adoption costs. The development of organizational capabilities and resources therefore appears to be a function of both organizational exploitation of imperfect or incomplete market factors, and the institutional context of these decisions. Copyright © 2006 John Wiley & Sons, Ltd.     

On the diffusion of electronic commerce

This paper analyzes retailers' adoption of e-commerce in a technology adoption race framework. An internet-based firm with no traditional market presence competes with an established traditional firm to adopt the e-commerce technology and sell to a growing number of consumers with on-line shopping capability. The focus of the analysis is on identifying how consumer loyalty, differences in firms' technology and consumers' preferences for the traditional versus the virtual market, and the expansion in market size made possible by the internet can affect the timing and sequence of adoption by firms, as well as the post-adoption evolution of prices. The model's implications are used to discuss empirical evidence on adoption patterns for different product categories and firm types.     

Timing of technology adoption and product market competition

This paper examines how product market competition affects firms' timing of adopting a new technology, as well as whether the market provides sufficient adoption incentives. It demonstrates that adoption dates differ, not only among symmetric firms, but also among markets with different market features. More specifically, technology adoption can occur earlier in a market with Cournot competition than in a market with Bertrand competition. It can also occur earlier in a market in which goods are not too close substitutes. Therefore, this paper shows that competition toughness does not always reinforce adoption incentives. When goods are sufficiently differentiated, adoption occurs later than is socially optimal.     

Disparities in ICT adoption: A multidimensional approach to study the cross-country digital divide

This paper presents a cross-country study on the determinants of information and communication technology (ICT) diffusion using multivariate analysis techniques to capture the relative and multidimensional character of digital divide. Using canonical correlation analysis, the differences detected between groups of countries both in terms of ICT patterns and in terms of the factors explaining each are compared. The results provide the ability to distinguish between different patterns of ICT adoption that can be explained primarily by variables associated with differences in development levels. In countries registering higher levels of ICT adoption, the digitalization pattern is explained by GDP, service sector, education, and governmental effectiveness. In contrast, in developing countries, population age and urban population are positively associated with the ICT adoption, while Internet costs impact negatively. The results might be useful in finding and implementing the most suitable telecommunication and development policies for each case.     

A Note on Endogenous Market Structure under Heterogeneous Firms*

Industries, such as semiconductors and biotechnology, are characterized by heterogeneous research productivity and vertically differentiated products. In this note, I relax the assumption of symmetric R&D costs in Sutton [1998] and derive the lower bounds to market concentration when entry and R&D investments in product quality are jointly determined. I show that the lower bound to concentration depends on the degree of vertical differentiation, which is a function of market size and quality choices. My findings imply that empirical applications that fail to account for differences in quality will be biased towards the null hypothesis of exogenous entry costs otherwise.     

Effectual and causal reasoning in the adoption of marketing automation

Research on technology adoption in organizations traditionally assumes that these organizations follow rational, strategic and planned adoption processes. However, a gradually emerging view is that the adoption of technology is also characterized by entrepreneurial or effectual reasoning, primarily due to technological and market uncertainties that call for more agile and experimental approaches at the digital age. Drawing on effectuation theory, we develop a research framework to examine the managerial reasoning during the adoption of marketing automation technology. Based on the results of a comparative multiple-case study on four large-sized industrial firms, we develop a maturity model of marketing automation adoption and show that even large-sized B2B companies apply effectual reasoning, which problematizes the rationality assumption in the technology adoption literature. Second, we show that during the adoption process, organizations' dominant reasoning mode follows an iterative pattern in which the adopting organization moves back and forth between effectuation and causation. Finally, we identify five key domains of marketing automation (customer knowledge, information systems infrastructure, analytics, interdepartmental dynamics and change management) and describe their gradual evolution at different stages of the adoption process.     

Skills shortages and training: a forgotten dimension in new technology

Skills shortages and training problems are forgotten by many companies when they adopt new technology. 52 engineering firms in a 'traditional' industry in a single local labour market were interviewed to examine their attitudes to new technology and the skills and training implications of technology adoption. Skills and training issues were often forgotten or misjudged during the new technology appraisal process. It was these same areas which created most problems for many companies after adoption. Misjudgements concerning the level of labour force flexibility and training requirements for staff often created problems after the adoption of new technology. Skills shortages for adopting firms are most acute at the skilled level, this predominantly concerns the 'local labour market'. Most firms adopted a short term response to skills shortages. Relatively low utilisation of policy initiatives and 'formal' avenues of assistance prior to new technology adoption were also identified.     

Heterogeneous incentives for innovation adoption: The price effect on segmented markets

It is now commonly accepted that poverty alleviation and the development of agricultural value chains in low income countries require farmers to innovate. However numerous constraints to innovation adoption have been identified. In the literature, the market structures on which producers sell their output have received remarkably little attention. In this article, I argue that these can impact a producer’s choices with respect to the level of effort invested in changing agricultural practices. More specifically, due to transaction costs, contract farming and other market imperfections, output prices and production levels in rural areas are often jointly determined, leading to market segmentation. I develop a simple model to discuss how market segmentation induces non-trivial effects on incentives to innovate. Next, I rely on farm-level panel data from an extension project in the Peruvian highlands to test the empirical implications of the model. Producers that were not included in the formal market but close to it, performed better in improving agricultural practices. The indirect consequence of this investment is a higher price increase than the rest of the population, creating heterogeneous impacts of the programme, opportunities for economic mobility and a reduction in inequality. The evidence indicates how considering the effects of market structures leads to a more nuanced understanding of the process of agricultural innovation adoption in low and middle income countries.