The adoption of radical manufacturing technologies and firm survival

The emergence of dramatically innovative, or radical, new manufacturing technologies can force pivotal and life‐threatening decisions for industry competitors. These technologies can represent a huge cost for adopting firms, but may also offer the chance to achieve competitive advantage through superior manufacturing. While prior research has considered a range of production process decisions (e.g., JIT, mass customization) and outcomes for end‐product technologies, little attention has been given to adoption decisions relative to core manufacturing technologies. This study examines an industry's adoption of major manufacturing technologies over several decades and demonstrates that two groups of contingencies related to adoption (e.g., timing and cumulative effects) have a significant impact on firm performance. Based on a sample of over 1,000 firms, the results provide insights into the effects of adoption timing and ‘manufacturing technology bundles’ on firm survival. We also find that adoption of manufacturing technologies prior to the inflection point of the estimated Bass diffusion curve for each technology leads to significant reduction in firm mortality. Thus, we are able to demonstrate the ability of the Bass model to predict the survival outcomes of firms facing manufacturing technology adoption decisions. The strategic implications of these pivotal decisions are considered. Copyright © 2008 John Wiley & Sons, Ltd.     

What drives post-adoption usage? Investigating the negative and positive antecedents of disruptive technology continuous adoption intentions

This article focuses on the pre-adoption antecedents of disruptive technology continuous adoption intentions at the firm level. Understanding how to make a quality adoption decision, as measured by the firm's satisfaction and intention to continue using the technology after the initial adoption phase, is of critical importance for a buying manager. Given this challenge, a model for disruptive technology continuous adoption intention is proposed that considers the following: pre-adoption interorganizational trust, mimetic competitor pressures, normative supplier pressures, efficiency motives, searching efforts, and post-adoption satisfaction. This model was tested using survey results from 211 recent purchasing managers of a cloud computing service, an emerging disruptive technology. Interestingly, normative pressures from supplying firms prior to adoption led to lower user satisfaction and, consequently, lower intentions to continue adopting and using the technology. Moreover, these pressures were driven by pre-adoption levels of interorganizational trust and mimetic pressures from competitors. Potential adopting managers of a disruptive technology should instead be driven by efficiency-oriented motives and actually aim to increase their searching efforts in order to better understand the disruptive technology prior to adoption. These findings add to prior literature demonstrating the complex interplay of external pressures and internal motives on technology adoption strategies.     

Strategic investments under competition for access provision

We examine competition for access provision when symmetric vertically integrated firms invest in infrastructure upgrades. Spillovers through access have two effects (a wholesale-profit effect and a retail-production effect) on infrastructure investment made by vertically integrated firms. When the vertically integrated firms freely set access charges, due to the dominance of the wholesale-profit effect, quality differentials endogenously occur between these firms (asymmetric equilibria). When access charges are regulated, symmetric equilibria occur with multiple equilibrium investments due to the retail-production effect. Because competition for access provision induces a strong incentive for infrastructure investment, it also achieves a higher social welfare than does access regulation.     

Product compatibility as a signal of quality in a market with network externalities

In this paper, I consider the compatibility decision as a signaling device of the quality of a newly introduced technology of which users are not informed. Provided that firms are located sufficiently far apart in Hotelling’s [0,1] interval, I find separating equilibria where low compatibility signals high quality. This possible separation is due to the fact that low compatibility is more advantageous to the high-quality entrant than to the low-quality entrant, since it can prevent users of the established technology from enjoying network benefits from the new technology very much.     

THE ROLE OF EXCLUSIVE CONTRACTS IN FACILITATING MARKET TRANSACTIONS*

We examine the relationship between market conditions and the adoption of exclusive contracts. In particular, we develop a matching model in which agents may decide to adopt exclusive contracts to reduce bilateral bargaining inefficiencies in the presence of private information. We show that it is optimal for agents to adopt exclusive contracts in thin markets but not in thick markets and that for intermediate levels of market thickness strategic complementarities lead to multiple equilibria. We study the welfare properties of market equilibria and discuss under what circumstances courts should enforce exclusive contracts.     

Mixed-strategy equilibria in a quality differentiation model

This paper shows that the standard quality-differentiation duopoly model has, in addition to the two well-known pure-strategy equilibria of maximum quality differentiation, an infinity of mixed-strategy equilibria in which firms choose mixed strategies in the first-stage quality game. In these equilibria, maximum quality differentiation does not occur due to coordination failure. Total expected consumer surplus is the same at all mixed-strategy equilibria and is higher than that under either pure-strategy equilibrium. Total expected industry profit is the same at all mixed-strategy equilibria and is lower than that under either pure-strategy equilibrium.     

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.     

Technology revolutions in the presence of network externalities

The purpose of this paper is to investigate the effect of varying consumer preferences over technology advance and network size on the timing and frequency of new technology adoption in the presence of installed bases resulting from network externalities. The paper shows that the duration of each adopted technology and the frequency of technology adoptions depend on (a) whether (in consumers' perspectives) the network size effect is a substitute for or a complement to the quality of the technologies; (b) the degree of compatibility of new technologies with the old technology; and (c) the technology growth rate and consumer population size.     

Impact of modern agricultural technologies on smallholder welfare: Evidence from Tanzania and Ethiopia

This paper evaluates the potential impact of adoption of improved legume technologies on rural household welfare measured by consumption expenditure in rural Ethiopia and Tanzania. The study utilizes cross-sectional farm household level data collected in 2008 from a randomly selected sample of 1313 households (700 in Ethiopia and 613 in Tanzania). The causal impact of technology adoption is estimated by utilizing endogenous switching regression. This helps us estimate the true welfare effect of technology adoption by controlling for the role of selection problem on production and adoption decisions. Our analysis reveals that adoption of improved agricultural technologies has a significant positive impact consumption expenditure (in per adult equivalent terms) in rural Ethiopia and Tanzania. This confirms the potential role of technology adoption in improving rural household welfare as higher consumption expenditure from improved technologies translate into lower poverty, higher food security and greater ability to withstand risk. An analysis of the determinants of adoption highlighted inadequate local supply of seed, access to information and perception about the new cultivars as key constraints for technology adoption.     

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.     

Never Forget Where You're Coming from: The Role of Existing Products in Adoptions of Substituting Technologies

The adoption of technological product innovations has received considerable attention among academics and practitioners alike, although the circumstances in which a new technology seeks to replace an existing product have remained largely overlooked. Research into the adoption of substituting technologies should incorporate this perspective, which provides insights into how technology adoption depends on the existing situation. From this perspective, the authors investigate how consumers' emphasis on an existing product's attributes influences their adoption of a substituting innovation. Data obtained from 217 respondents indicates that consumers' liking of an existing product's attributes can prompt a negative affective reaction to the substituting technology. This negative affective reaction in turn may lead to less positive cognitive evaluations of the substituting technology and affect consumers' adoption intentions. This investigation complements existing research in two important ways: First, the results emphasize the importance of taking existing products into account when studying the adoption of substituting technologies. Second, this study adds to the sparse findings regarding the link between affect and cognition in technology adoption contexts.     

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.     

Adoption of a Process Innovation with Learning-by-Doing: Evidence from the Semiconductor Industry

This article analyzes the adoption of a new process technology in the global semiconductor manufacturing industry. The paper extends research on the relationship between learning-by-doing and technology adoption by examining the stability of learning effects across technological generations. While the results indicate that production experience with the immediately preceding technological generation is associated with a higher likelihood of adoption, we find no evidence that experience with older technologies or regional knowledge spillovers influence adoption. Finally, the results indicate that large firms and memory manufacturers have a higher likelihood of adoption than small firms and non-memory manufacturers, respectively.     

Value chain innovations for technology transfer in developing and emerging economies: Conceptual issues,typology, and policy implications

The adoption of modern technologies in agriculture is crucial for improving productivity of poor farmers and poverty reduction. However, the adoption of modern technology has been disappointing. The role of value chains in technology adoption has been largely ignored so far, despite the dramatic transformation and spread of modern agri-food value chains. We argue that value chain organization and innovations can have an important impact on modern technology adoption, not just by downstream companies, but also by farmers. We discuss conceptual issues and provide an empirical typology of institutional innovations through which value chains can contribute to technology transfer to agriculture in developing and emerging countries.     

The impact of management commitment alignment on salespersons' adoption of sales force automation technologies: An empirical investigation

Marketing and information systems scholars have explored several factors that affect sales force automation (SFA) technology adoption. In this study, we introduce a new antecedent to the SFA adoption model, management commitment alignment (MCA). We show that alignment between top management and immediate supervisors' commitment to the SFA technology is an important factor in influencing SFA adoption. Results show that while commitment from both leadership levels (perfect alignment) is the most conducive to SFA adoption, misaligned commitment conditions have differential effects on adoption. Specifically, even when supervisors are committed to sales technology, lack of top management commitment can hurt SFA adoption. Managerial implications of the findings and directions for future research are discussed.     

Women’s empowerment boosts the gains in dietary diversity from agricultural technology adoption in rural Kenya

Using new survey data from rural Kenya, this paper assesses the moderating effect of women’s empowerment on the relationship between agricultural technology adoption and women’s dietary diversity. We use a multiple treatment endogenous switching regression framework to control for potential endogeneity of women’s empowerment and technology adoption. We find that women’s empowerment has a positive and significant effect on the women’s dietary diversity score regardless of technology adoption status. We further show that women’s empowerment enhances the positive effects of technology adoption on women’s dietary diversity. Although technology adoption has a positive impact on women’s dietary diversity regardless of empowerment status, its effect is stronger for households with empowered vs. disempowered women. Study results suggest that individual and household welfare could be enhanced to a greater degree through interventions that promote women’s empowerment and technology adoption simultaneously rather than separately.     

Sunk Costs and the Depth and Probability of Technology Adoption

I propose that sunk costs of learning and the output over which these costs are spread determine the probability and depth of technology adoption. Depth of adoption describes the extent to which firms exploit the advantages of the technology. I find that plant size but not firm size predicts CAD and CNC adoption. Learning costs are lumpy, are closely connected to technology adoption and determine both the probability and depth of adoption. Depth of adoption is considerably more plant idiosyncratic than the decision to adopt.     

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.