A Dynamic Analysis of the Adoption of a New Technology: The Case of Optical Scanners

Levin, Sharon G.; Levin, Stanford L.; Meisel, John

doi:10.2307/1937895

Cited by 190 publications

(89 citation statements)

References 11 publications

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“…While they have not, to our knowledge, been previously explored in a technological setting, mimetic adoption has been studied from an economic perspective [Levin et al 1987;Mansfield 1961], and Fligstein [1991] has applied mimetic isomorphism to mergers and acquisitions and identified that imitating others has been practiced in many industries with banking and other regulated and technology intensive industries found to have a particularly high level of isomorphism [Deephouse 1996]. …”

Section: Institutional Theorymentioning

confidence: 99%

Mimetic Isomorphism and Technology Evaluation: Does Imitation Transcend Judgment?

Tingling¹,

Parent²

2002

JAIS

101

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Although contemporary technology adoption theories incorporate societal norms or peer references, it is unclear to what extent these factors influence choices. In this research, we apply institutional theory and the concept of mimetic isomorphism as peer influences to the technology evaluation process to determine the degree to which managers conform when selecting between competing information technologies. More specifically, we test if peer influence is sufficient to overcome a product evaluation where the choice is believed to be inferior. An experiment is conducted using the World Wide Web and a national sample of 348 senior information technology and business decision makers. Significant effects are found where inferior technologies are selected if respondents are informed that competitors have selected them. Further research is warranted to investigate the presence and extent of these effects but overall implications are that product evaluations may be more ornamental than substantive.

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Section: Institutional Theorymentioning

confidence: 99%

Mimetic Isomorphism and Technology Evaluation: Does Imitation Transcend Judgment?

Tingling¹,

Parent²

2002

JAIS

101

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“…Since few a priori reasons exist to prefer any particular parametric form (see Levin et al 1987 or Trajtenberg and Yizhaki 1989 for a more elaborate discussion), we will implement a variety of distributional specifications, i.e. the exponential (used by Hannan & McDowell 1984), Weibull (used in Chandrashekaran and Sinha 1995) and quadratic specification (described in Helsen and Schmittlein 1993).…”

Section: Ri3(t) = Ro3(t)exp[fl3x3(t)] [7c]mentioning

confidence: 99%

Global Diffusion of Technological Innovations: A Coupled-Hazard Approach

Dekimpe

Parker

Sárváry³

2000

Journal of Marketing Research

146

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The paper proposes a new methodology called the "coupled-hazard approach" to study the global diffusion of technological innovations. This coupled approach addresses several methodological challenges arising from the global nature of the considered diffusion process and the intricacies of the type of innovations studied. First, a global diffusion process is typically composed of two conceptually different, yet inter-linked, processes: (1) diffusion across countries, and (2) diffusion within each country. Second, due to network externalities and/or the presence of central decision makers, technological innovations often exhibit diffusion patterns that cannot be captured by traditional models. In particular, within-country adoption often occurs in "blocks" or "packets" of various size (with sometimes the whole country adopting at once), which prevents the use of S-shaped (Bass-type) diffusion models. Finally, technological innovations may complement or substitute existing ones, which raises the issue of how the size of the installed base of the old technology affects the new diffusion process.The "coupled-hazard approach" is well-suited to address all three issues. Beyond the capability of describing discontinuous diffusion patterns, the method explicitly recognizes the conceptual difference between the timing when a country tries or "pilot tests" the new technology, called "the implementation stage" by Rogers (1983) and the timing of when the innovation is adopted on a national or ubiquitous basis within the country (referred to by Rogers as "the confirmation stage"). In addition to testing the separate influence of exogenous and endogenous country characteristics on these two stages, it also allows us to assess their interrelationship. To illustrate the method, and in order to generate substantive insights, we apply the approach to the global diffusion of digital telecommunications networks across over 160 countries.

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“…In our case, the installation of a barcode scanner represents a major capital investment that basically enables a retailer to check out more retail items in less labor time. 6 Following the discussion by Levin et al (1987Levin et al ( , 1992, a number of factors can make barcode scanning more or less valuable in different countries. 7…”

Section: Technology-specific Effectsmentioning

confidence: 99%

“…7 Levin et al (1987Levin et al ( , 1992) study the adoption of barcode scanning in U.S. retailing. They analyse firmspecific data relating to the early years of the technology (1974)(1975)(1976)(1977)(1978)(1979)(1980)(1981)(1982)(1983)(1984)(1985).…”

Section: Employment Protection Legislationmentioning

confidence: 99%

“…For example, Levin et al (1987Levin et al ( , 1992 find that retailers adopt earlier and that intra-firm diffusion of barcode scanning is faster in markets that are less concentrated, but these effects partially bare significance. More importantly, as we ar-gued above, concentration measures are not necessarily good proxies for competitive intensity in retail markets.…”

Section: Product Market Regulation and Hypermarket Competitionmentioning

confidence: 99%

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Hypermarket Competition and the Diffusion of Retail Checkout Barcode Scanning

2005

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in November 2005Abstract This paper presents a set of panel data to study the diffusion of retail checkout barcode scanning in ten European countries over the period [1981][1982][1983][1984][1985][1986][1987][1988][1989][1990][1991][1992][1993][1994][1995][1996]. Estimates from a standard diffusion model suggest that countries differ most in the long-run diffusion level of barcode scanning and less in timing or diffusion speed. We present evidence that the emergence of hypermarkets raises competitive intensity and use hypermarket data, among other variables, in a pooled estimation. Results suggest that hypermarket competition reduces long-run adoption of information technology (IT) in retailing. In particular, the emergence of hypermarkets seems to deepen retail segmentation by inducing potential adopters (e.g. supermarkets) to exit the market and/or by discouraging adoption by other retail formats. Consistent with expectations, scale and income effects spur IT diffusion and there is a classic substitution effect: when wages rise, diffusion of a labor-saving technology such as barcode scanning is more intense. We do not find a significant impact of employment protection legislation. JEL classification: L5, L81, O33.

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A Dynamic Analysis of the Adoption of a New Technology: The Case of Optical Scanners

Cited by 190 publications

References 11 publications

Mimetic Isomorphism and Technology Evaluation: Does Imitation Transcend Judgment?

Mimetic Isomorphism and Technology Evaluation: Does Imitation Transcend Judgment?

Global Diffusion of Technological Innovations: A Coupled-Hazard Approach

Hypermarket Competition and the Diffusion of Retail Checkout Barcode Scanning

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