Innovation Adoption (innovation + adoption)

Distribution by Scientific Domains


Selected Abstracts


Adoption of agricultural innovations as a two-stage partial observability process

AGRICULTURAL ECONOMICS, Issue 3 2003
Efthalia Dimara
Innovation adoption; Organic agriculture; Partial observability Abstract In this paper, we reconsider the appropriateness of certain statistical analyses in innovation adoption studies and suggest that partial observability models may sometimes be more useful. The proposed models allow for a flexible specification of the process of adoption from one stage to two stages, facilitate the modelling of non-adopters and remedy the violation of the assumption of full information. An application to the adoption of organic cultivation in Greece demonstrates the relative merits of the proposed analysis. [source]


Multiple Conceptualizations of Small Business Web Use and Benefit*

DECISION SCIENCES, Issue 3 2003
Kurt A. Pflughoeft
ABSTRACT Small businesses play an important role in the U.S. economy and there is anecdotal evidence that use of the Web is beneficial to such businesses. There is, however, little systematic analysis of the conditions that lead to successful use of and thereby benefits from the Web for small businesses. Based on the innovation adoption, organizations, and information systems (IS) implementation literature, we identify a set of variables that are related to adoption, use, and benefits of information technology (IT), with particular emphasis on small businesses. These variables are reflective of an organization's contextual characteristics, its IT infrastructure, Web use, and Web benefits. Since the extant research does not suggest a single theoretical model for Web use and benefits in the context of small businesses, we adopt a modeling approach and explore the relationships between "context-IT-use-benefit" (CIUB) through three models,partial-mediator, reduced partial-mediator, and mediator. These models posit that the extent of Web use by small businesses and the associated benefits are driven by organizations' contextual characteristics and their IT infrastructure. They differ in the endogeneity/exogeneity of the extent of IT sophistication, and in the direct/mediated effects of organizational context. We examine whether the relationships between variables identified in the literature hold within the context of these models using two samples of small businesses with national coverage, including various sizes, and representing several industry sectors. The results show that the evidence for patterns of relationships is similar across the two independent samples for two of these models. We highlight the relationships within the reduced partial-mediator and mediator models for which conclusive evidence are given by both samples. Implications for small business managers and providers of Web-based technologies are discussed. [source]


Information technology innovation diffusion: an information requirements paradigm

INFORMATION SYSTEMS JOURNAL, Issue 3 2008
Nigel Melville
Abstract., Information technology (IT) innovation research examines the organizational and technological factors that determine IT adoption and diffusion, including firm size and scope, technological competency and expected benefits. We extend the literature by focusing on information requirements as a driver of IT innovation adoption and diffusion. Our framework of IT innovation diffusion incorporates three industry-level sources of information requirements: process complexity, clock speed and supply chain complexity. We apply the framework to US manufacturing industries using aggregate data of internet-based innovations and qualitative analysis of two industries: wood products and beverage manufacturing. Results show systematic patterns supporting the basic thesis of the information processing paradigm: higher IT innovation diffusion in industries with higher information processing requirements; the salience of downstream industry structure in the adoption of interorganizational systems; and the role of the location of information intensity in the supply chain in determining IT adoption and diffusion. Our study provides a new explanation for why certain industries were early and deep adopters of internet-based innovations while others were not: variation in information processing requirements. [source]


Devolution and Innovation: The Adoption of State Environmental Policy Innovations by Administrative Agencies

PUBLIC ADMINISTRATION REVIEW, Issue 2 2004
Alka Sapat
Do states act as laboratories for reform? Are state administrative agencies likely to adopt policy innovations? This study analyzes the adoption of environmental policy innovations by state administrative agencies in the area of hazardous waste regulation. Four explanations are developed to explain the factors that affect innovation adoption: the severity of the problem, the importance of institutional factors, the role played by interest groups, and contextual factors. Institutional factors, such as state wealth and administrative professionalism, are important determinants of innovation adoption. State agencies are also likely to adopt innovations to deal with problems created by hazardous waste contamination. In addition, state environmental managers are not directly influenced by interest groups, and the inclusion of all stakeholders is likely to lead to greater support for new policy initiatives. Implications for practitioners are drawn based on the study's findings. [source]


Determinants of environmental innovation adoption in the printing industry: the importance of task environment

BUSINESS STRATEGY AND THE ENVIRONMENT, Issue 1 2007
Sandra Rothenberg
In this paper, we investigate the impact that the task environment has on the adoption of environmental innovations by firms. Specifically, we investigate the impact of two dimensions of a firm's external context , munificence and dynamism. We investigate both of these factors by drawing on the relevant literatures, developing hypotheses and testing our hypotheses with data drawn from the US printing industry. Our major findings are that firms in highly dynamic environments, as well as firms that have adopted other productive innovations, are more likely to adopt a greater number of environmental innovations. Copyright © 2006 John Wiley & Sons, Ltd and ERP Environment. [source]