Browsing by Subject "Technology adoption"

Now showing 1 - 6 of 6

Open Access
Capital maintenance versus technology adoption under embodied technical progress
(B E Press, 2006) Boucekkine, R.; Martínez, B.; Saglam, C.
We study an optimal growth model with one-hoss-shay vintage capital, where labor resources can be allocated freely either to production, technology adoption or capital maintenance. Technological progress is partly embodied. Adoption labor increases the level of embodied technical progress. First, we are able to disentangle the amplification-propagation role of maintenance in business fluctuations: in the short run, the response of the model to transitory shocks on total factor productivity in the final good sector are definitely much sharper compared to the counterpart model without maintenance but with the same average depreciation rate. Moreover, the one-hoss shay technology is shown to reinforce this amplification-propagation mechanism. We also find that accelerations in embodied technical progress should be responded by a gradual adoption effort, and capital maintenance should be the preferred instrument in the short run. Copyright © 2006 The Berkeley Electronic Press. All rights reserved.
Open Access
The development problem under embodiment
(Wiley-Blackwell Publishing Ltd., 2006) Boucekkine, R.; Martínez, B.; Saglam, C.
This paper studies technology adoption in an optimal growth model with embodied technical change. The economy consists of the final good sector, the capital sector, and the technology sector which role is the imitation of exogenous innovations. Scarce labor resources are allocated to the technology and final good sectors. The final good is allocated to consumption and to the capital sector. The authors analytically characterize the long run optimal allocations. Using a calibrated version of the model, they find that an acceleration in the rate of embodied technical change should not be responded by an immediate and strong adoption effort. Instead, adoption labor should decrease in the short run, and the optimal technological gap is shown to increase either in the short or in the long run. The state of the institutions and policies around the technology sector is key in the design of the optimal adoption timing. © 2006 The Authors; Journal compilation © 2006 Blackwell Publishing Ltd.
Open Access
Effects of endogenous depreciation on the optimal timing of technology adoption
(2006) Karaşahin, Ramazan
In this thesis, we use two stage optimal control techniques to analyze optimal timing of technology adoption under embodied technical change taking into account the endogenous nature of depreciation. We show that a more efficient maintenance service reducing the depreciation rate postpones the optimal timing of technology adoption. In this respect, we study to what extent can maintenance of the existing capital stock be a substitute for adoption of new technologies.
Open Access
Optimal pattern of technology adoptions under embodiment: a multi-stage optimal control approach
(John Wiley & Sons Ltd., 2011) Saglam, C.
By deriving the necessary conditions for a multi-stage optimal control problem where the endogenous switching instants appear as an argument of the state equation, we analyze the optimal pattern of technology adoptions under embodiment with a finite planning horizon. We show that the optimal pattern of technology adoptions depends crucially on how the growth rate advantage compares to the adjustment and the obsolescence costs inherent to embodiment. We obtain non-stationary lifetimes for the adopted technologies due to finite planning horizon. We analyze numerically the effects of planning horizon, speed of adjustment to the new technology, growth rate of technology and the impatience rate on the optimal pattern. Copyright © 2010 John Wiley & Sons, Ltd.
Open Access
Sensors as media and sensor-mediated communication: an introduction to the special issue
(Oxford University Press, 2023-08-23) Özkul, Didem; Halegoua, G. R.; Wilken, R.; Humphreys, L.
This special issue examines mediated communication through the rise of sensors. Sensors are increasingly in the phones we carry, in the cars we drive, and throughout the homes and communities in which we live. In this introduction to the special issue, we define sensor-mediated communication (SMC) and argue the embedded, automatic, and datafied nature of sensors belie the glitches and biases in sensor mechanisms, networks, and infrastructure. The collection of articles in this issue explores SMC across a variety of contexts and cases, including municipal infrastructure, community, health, industry, and the domestic. They represent studies of voice assistants, self-tracking apps, self-driving cars, fitness games, home health care, as well as municipal sensor networks in urban, indigenous, and rural communities. Across them all we see the different ways through which mediated communication is initiated, transformed, and maintained by sensing technologies. Together they represent an important evolution in the study of computer-mediated communication.
Open Access
Structural equation modeling in cloud computing studies: a systematic literature review
(Emerald, 2019) Pişirir, E.; Uçar, Erkan; Chouseinoglou, O.; Sevgi, Cüneyt
Purpose – This study aims to examine the current state of literature on structural equation modeling (SEM) studies in “cloud computing” domain with respect to study domains of research studies, theories and frameworks they use and SEM models they design. Design/methodology/approach – Systematic literature review (SLR) protocol is followed. In total, 96 cloud computing studies from 2009 to June 2018 that used SEM obtained from four databases are selected, and relevant data are extracted to answer the research questions. Findings – A trend of increasing SEM usage over years in cloud studies is observed, where technology adoption studies are found to be more common than the use studies. Articles appear under four main domains, namely, business, personal use, education and health care. Technology acceptance model (TAM) is found to be the most commonly used theory. Adoption, intention to use and actual usage are the most common selections for dependent variables in SEM models, whereas security and privacy concerns, costs, ease of use, risks and usefulness are the most common selections for causal factors. Originality/value – Previous cloud computing SLR studies did not focus on statistical analysis method used in primary studies. This review will display the current state of SEM studies in cloud domain for all future academics and practical professionals.