News Update on Technology Adoption Research: May – 2019

News Update on Technology Adoption Research: May – 2019

News Update on Technology Adoption Research: May – 2019

Technology Adoption in the Presence of Network Externalities

We analyze technology adoption in industries wherever network externalities are important. The pattern of adoption depends on whether or not technologies are sponsored. A sponsor is associate degree entity that has property rights to the technology and therefore is willing to create investments to push it. Key findings embrace the following: (1) compatibility tends to be undersupplied by the market, however excessive standardization will occur; (2) within the absence of sponsors, the technology superior nowadays encompasses a strategic advantage and is probably going to dominate the market; (3) once one in every of 2 rival technologies is sponsored, that technology encompasses a strategic advantage and will be adopted whether or not it’s inferior; (4) once 2 competitory technologies each are sponsored, the technology that may be superior tomorrow encompasses a strategic advantage. [1]

Barriers to Technology Adoption and Development

We propose a theory of economic development during which technology adoption and barriers to such adoptions are the main target. the dimensions of those barriers differs across countries and time. The larger these barriers, the larger the investment a firm should create to adopt a additional advanced technology. The model is label to the U.S. balanced growth observations and also the postwar Japanese development miracle. For this label structure we discover that the inequality in technology adoption barriers required to account for the large determined financial gain disparity across countries isn’t incredibly large. [2]

AGE DIFFERENCES IN TECHNOLOGY ADOPTION DECISIONS: IMPLICATIONS FOR A CHANGING WORK FORCE

This analysis investigated age variations in individual adoption and sustained usage of technology within the geographical point exploitation the idea of planned behavior. User reactions and technology usage behavior were studied over a 5‐month amount among 118 employees being introduced to a replacement computer code. At a pair of points of measuring, compared to older employees, younger workers’ technology usage selections were a lot of powerfully influenced by perspective toward exploitation the technology. In distinction, older employees were a lot of powerfully influenced by subjective norm and perceived activity management, though the result of subjective norm diminished over time. These findings were sturdy, even once dominant for key unsupportive variables known in previous structure behavior analysis (i.e., income, occupation, and education levels). Theoretical and sensible implications for understanding the results of aging on technology adoption and usage within the geographical point are mentioned. [3]

Beyond “implementation”: digital health innovation and service design

Digital tools have shown nice potential to reinforce health services’ capability to attain the goals of the triple aim (enhance patient expertise, improve health outcomes, and management or scale back costs), however their actual impact remains variable. during this comment, we advise that shifting from a perspective centered on “implementing” new digital tools in health care settings toward one focused on “service design” can facilitate groups execute additional productive digital technology adoption comes. we have a tendency to gift value proposition style (VPD) as a service design strategy requiring that stakeholders are savagely honest in deciding the worth of a replacement digital tool for his or her everyday work. Incorporating a perspective centered on however the worth proposition of a technology is known by every team member, and implications for his or her work routines, can facilitate project groups to higher perceive however services will be reinvented throughout technology adoption initiatives. we have a tendency to gift the easy heuristic [Tool+Team+Routine] as a reminder of the central concerns that conjure a service style initiative, ANd gift an illustrative case situation of planning the utilization of a digital care coordination platform in an actual digital technology adoption project. we have a tendency to conclude by outlining 2 vital challenges that require to be self-addressed to advance service style approaches to technology adoption in health care. [4]

An Economic Analysis of Technology Adoption Coupled With Conjunctive Use of Ground Water in Tank Command Area

This paper aims to judge the conjunctive use of surface and H2O, adoption of water management technologies and factors that influence the adoption of water management technologies within the tank command space since water inadequacy downside is changing into major concern in most of the districts in state. Dindigul district was purposively elect for the study since there are concerning three,104 tanks and thirty per cent of space was irrigated by tank to total internet area irrigated. Tank irrigation was conjointly supplemented with well (open well) irrigation (i.e. conjunctive use of surface water and H2O was taking part in vital role). easy sampling technique was used for choosing the sample farmers. Primary knowledge was collected from one hundred fifty sample farmers and multinomial logit model was used for analysis. The result disclosed that the yield was higher for farmers adopting water management technologies underneath conjunctive water use scenario. . The adopters of water management technologies had complete hyperbolic productivity and thereby the returns in rice crop were relatively high the farming expertise, financial gain from off and non-farm activities and speak to with extension agents were found to own positive and vital influence on adoption of technology. The farm size of the farmers had negative impact on adoption of technology. [5]

Reference

[1] Katz, M.L. and Shapiro, C., 1986. Technology adoption in the presence of network externalities. Journal of political economy, 94(4), pp.822-841. (Web Link)

[2] Parente, S.L. and Prescott, E.C., 1994. Barriers to technology adoption and development. Journal of political Economy, 102(2), pp.298-321. (Web Link)

[3] Morris, M.G. and Venkatesh, V., 2000. Age differences in technology adoption decisions: Implications for a changing work force. Personnel psychology, 53(2), pp.375-403. (Web Link)

[4] Beyond “implementation”: digital health innovation and service design

James Shaw, Payal Agarwal, Laura Desveaux, Daniel Cornejo Palma, Vess Stamenova, Trevor Jamieson, Rebecca Yang, R. Sacha Bhatia & Onil Bhattacharyyanpj Digital Medicinevolume 1, Article number: 48 (2018) (Web Link)

[5] Minithra, R. and Kumar, D. S. (2019) “An Economic Analysis of Technology Adoption Coupled With Conjunctive Use of Ground Water in Tank Command Area”, Asian Journal of Agricultural Extension, Economics & Sociology, 29(1), pp. 1-7. doi: 10.9734/AJAEES/2019/45946. (Web Link)

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