An Assessment of Experimental Evidence on Agricultural Technology Adoption in Developing Countries

2018 ◽  
Vol 10 (1) ◽  
pp. 299-316 ◽  
Author(s):  
Jeremy R. Magruder
Keyword(s):  
Developing Countries ◽  
Technology Adoption ◽  
Field Experiments ◽  
Agricultural Technology ◽  
Future Research ◽  
Informational Frictions ◽  
Adoption Decision ◽  
On Demand ◽  
Mitigating Factor ◽  
Uninsurable Risk

This article reviews recent results on technology adoption in developing countries, primarily from field experiments. It focuses on studies that highlight three constraints to adoption: credit, insurance, and information. Interventions supplying credit are consistently effective in spurring technology adoption for a minority of farmers, while interventions supplying insurance have had more mixed results. This review suggests that one mitigating factor on demand for both of these products is incomplete information, which adds additional uninsurable risk to the technology adoption decision. A broad group of studies identify the presence of strong informational frictions. The review concludes with some potential directions for future research.

scholarly journals Determinants of Agricultural Technology Adoption by Smallholder Farmers in Developing Countries: Perspective and Prospect for Indonesia

2021 ◽  
Vol 40 (1) ◽  
pp. 21
Author(s):  
Suprehatin - Suprehatin
Keyword(s):  
Developing Countries ◽  
Technology Adoption ◽  
New Technologies ◽  
Smallholder Farmers ◽  
Agricultural Technology ◽  
Smallholder Farmer ◽  
Agricultural Technologies ◽  
Adoption Decision ◽  
Determinant Factors ◽  
Farmer Adoption

<p class="BodyA">The role of agricultural technology is important in developing countries. However, in many cases the adoption rate of modern agricultural technology by smallholder farmers is low. Therefore, a better understanding of agricultural technology adoption determinants is important as a major component of agricultural growth. This paper is a review and synthesize of the literature related to potential factors that may constrain or encourage smallholder farmer adoption of new agricultural technologies. The determinant factors influencing smallholder farmer adoption of new technologies in developing countries vary from study to study based on contextual applicability and specific local condition. There are four major typologies of determinant factors are identified to help explain low adoption rates of particular agricultural technology in developing countries which are technology attributes, farmer or farm household characteristics, farm characteristics and institutional factors. Future policy recommendations on adoption decision should consider all those four important factors to provide better understanding of new agricultural technology adoption by smallholder farmers, resulting in improved livelihoods for smallholders.</p><p class="BodyA">Keywords: Agricultural, technology, adoption, farmer</p><p class="BodyA"> </p><p class="BodyA"><strong>Abstrak</strong></p><p><strong>DETERMINAN ADOPSI TEKNOLOGI PERTANIAN OLEH PETANI KECIL DI NEGARA BERKEMBANG: PERSPEKTIF DAN PROSPEK UNTUK INDONESIA</strong></p><p class="BodyA">Peran teknologi pertanian sangat penting di negara berkembang. Meskipun demikian, tingkat adopsi teknologi pertanian baru oleh petani kecil masih rendah. Oleh karena itu, pemahaman terhadap faktor-faktor yang menentukan keputusan petani dalam mengadopsi teknologi sangat penting untuk meningkatkan pertumbuhan sektor pertanian. Tulisan ini adalah hasil sintesis terhadap beberapa literatur ilmiah yang berkaitan dengan faktor penghambat atau pendorong petani kecil dalam mengadopsi teknologi pertanian. Faktor yang memengaruhi petani kecil mengadopsi teknologi pertanian di negara berkembang berbeda antarstudi berdasarkan kebutuhan dan kondisi lokal tertentu. Empat kelompok utama faktor penentu yang dapat menjelaskan rendahnya adopsi teknologi di negara berkembang yaitu atribut teknologi, karakteristik petani, usaha tani, dan faktor kelembagaan. Rekomendasi kebijakan terkait keputusan adopsi teknologi seharusnya mempertimbangkan keempat kelompok faktor tersebut untuk dapat memahami lebih baik adopsi teknologi baru oleh petani kecil guna meningkatkan kesejahteraannya.</p><p class="BodyA">Kata kunci: Pertanian, teknologi, adopsi, petani</p>

An Empirical Assessment of Technology Adoption as a Choice between Alternatives

2009 ◽  
Vol 22 (4) ◽  
pp. 23-44 ◽  
Author(s):  
Ernst Bekkering ◽  
Allen C. Johnston ◽  
Merrill Warkentin ◽  
Mark B. Schmidt
Keyword(s):  
Technology Adoption ◽  
Research Question ◽  
Expectancy Theory ◽  
Future Research ◽  
Force Model ◽  
Adoption Decision ◽  
Alternative Technologies ◽  
Effort Expectancy ◽  
System Characteristics ◽  
Competing Technologies

Technology adoption by individuals has traditionally been regarded by information systems researchers as a choice between adoption and non-adoption of a single technology. With the current diversity of technology alternatives, the adoption decision may be more accurately specified as a choice between competing alternative technologies. The research question may no longer be simply whether technology is adopted, but rather which technology is adopted. The authors illustrate this with a simplified model of choice between two competing technologies, where the second technology is an enhanced version of the first. Their theoretical model is based on Expectancy Theory (ET). Results indicate that system characteristics can be successfully captured in the Valence Model of ET, and effort expectancy in the Force Model. Future research can expand on these results by including more factors in the Valence Model, and by comparing more than two alternative technologies.

Factors affecting the Adoption Decision of Home Grown Medical Technology in Malaysian Hospitals: An Exploratory Study

2015 ◽  
Vol 3 (2) ◽  
pp. 42-51
Author(s):  
Zarina Denan ◽  
Nur Zana Mat Nur ◽  
Mailud. Balal
Keyword(s):  
Developing Countries ◽  
Medical Technology ◽  
Ease Of Use ◽  
Future Research ◽  
Perceived Ease Of Use ◽  
Critical Factors ◽  
Healthcare Organizations ◽  
Factors Affecting ◽  
Adoption Decision ◽  
Tam Model

Objective - The aim of this paper is to investigate the critical factors that will affect the decision to adopt home grown medical technology in developing countries, specifically in Malaysian health care centres. Methodology/Technique - This study integrated two models namely TOE (Technological, Organizational, and Environmental) model, and TAM model that was empirically tested among the healthcare organizations in Malaysia to achieve the aim of the study. Questionnaire strategy was employed to collect the data from key personnel in Selangor hospitals. Findings - The achieved results revealed that the most important critical factors are perceived ease of use, compatibility, relative advantages, manager's attitude and organizational readiness. In academia, this study can be used as a reference for future research in this subject and as for practitioners. Novelty - this study identifies key factors for hospitals to make an adoption decision toward home grown medical technology Type of Paper - Empirical Keywords: Adoption decision; Developing countries; Home Grown medical Technology; TOE; TAM

Exploring Choice as an Antecedent to Behavior

2012 ◽  
Vol 24 (1) ◽  
pp. 82-107 ◽  
Author(s):  
Miguel I. Aguirre-Urreta ◽  
George M. Marakas
Keyword(s):  
Technology Adoption ◽  
Information Technologies ◽  
Choice Behavior ◽  
Future Research ◽  
Business Professionals ◽  
Organizational Adoption ◽  
Adoption Decision ◽  
Software Applications ◽  
Specific Choice ◽  
Alternative Choice

In this paper, the authors conduct a study to explore the evaluation and choice between candidate software applications. Using business professionals, technology adoption is investigated by presenting participants with an alternative choice set using software applications relevant to the professional domain of the subjects. Results from this study, focusing on models of intentions, provide evidence to suggest the underlying process by which choice behaviors are determined and demonstrate the value of incorporating choice into models of technology adoption, particularly in situations where selection is made from a set of candidate technologies, such as in an organizational adoption decision. In addition, theoretically derived models of comparison processes are examined to develop further understanding into how individuals arrive at a specific choice behavior. A second study is conducted to further validate the obtained results. Implications for future research into the processes leading to adoption of information technologies are also presented.

An Empirical Assessment of Technology Adoption as a Choice between Alternatives

2010 ◽  
pp. 923-944
Author(s):  
Ernst Bekkering ◽  
Allen C. Johnston ◽  
Merrill Warkentin ◽  
Mark B. Schmidt
Keyword(s):  
Technology Adoption ◽  
Research Question ◽  
Simplified Model ◽  
Future Research ◽  
Force Model ◽  
Adoption Decision ◽  
Alternative Technologies ◽  
Effort Expectancy ◽  
System Characteristics ◽  
Competing Technologies

Technology adoption by individuals has traditionally been regarded by information systems researchers as a choice between adoption and non-adoption of a single technology. With the current diversity of technology alternatives, the adoption decision may be more accurately specified as a choice between competing alternative technologies. The research question may no longer be simply whether technology is adopted, but rather which technology is adopted. The authors illustrate this with a simplified model of choice between two competing technologies, where the second technology is an enhanced version of the first. Their theoretical model is based on Expectancy Theory (ET). Results indicate that system characteristics can be successfully captured in the Valence Model of ET, and effort expectancy in the Force Model. Future research can expand on these results by including more factors in the Valence Model, and by comparing more than two alternative technologies.

Gender differences in agricultural technology adoption in developing countries: a systematic review

2019 ◽  
pp. 227-238 ◽  
Author(s):  
O.E. Aduwo ◽  
J.O. Aransiola ◽  
L.O. Ikuteyijo ◽  
O.T. Alao ◽  
O.F. Deji ◽  
...  
Keyword(s):  
Systematic Review ◽  
Gender Differences ◽  
Developing Countries ◽  
Technology Adoption ◽  
Agricultural Technology

The impacts and visions of the green fertilizer technologies (GFT)

2017 ◽  
Vol 14 (4) ◽  
pp. 336-354 ◽  
Author(s):  
Nadia Adnan ◽  
Shahrina Md Nordin ◽  
Imran Rahman ◽  
Amir Noor
Keyword(s):  
Developing Countries ◽  
Research Study ◽  
Environmental Concern ◽  
Policy Implications ◽  
Future Research ◽  
Content Type ◽  
Adoption Decision ◽  
Tpb Model ◽  
Environmental Deprivation ◽  
Paddy Farmers

Purpose With the increased stress on sustainability and food security, in addition, the need towards halting environmental deprivation has focused attention on green fertilizer technology (GFT), which is the means of improving the situation causing the rising environmental concern. It also gives efficient use of farm resources which can help to protect crops. Moreover, the adoption of GFT is one aspect to answer the problem in regards to the sustainable environment. In the year 1980, an initiative took place to simplify the adoption decision in the developing countries. Regardless of the low adoption rate elsewhere, comparable exertions in the current year have originated in developing countries. Accepting those primary factors that influence the adoption of GFT is very important. The paper aims to discuss these issues. Design/methodology/approach This study re-examines these factors and draws policy implications from that review for future actions. This research study re-examines them, based on other studies examining the inadequate adoption of GFT in developing countries, by generalising their conclusions to clarify why farmers have or have not made the decision to adopt GFT. The ability to address that awareness enables the theory of planned behaviour (TPB) model to predict the farmer’s intention of acceptability of the GFT. By following a socio-psychological approach, by using TPB, the researchers have found out the paddy farmers’ adoption decision towards GFT. The researchers later discuss the implications for promoting the adoption of GFT, which delivers suggestions for the upcoming research study. Findings The idea of this research study is to seek farmers’ understanding about environmental attitudes in connection with conservation behaviour. The overall aim of this paper is to conceptualise the framework created by amending the environmental concern amongst paddy farmers towards GFT. Originality/value This research study will allow more academic consideration and may direct future research on the empirical findings on the environmental concern through the proposed conceptual framework amongst paddy farmers in Malaysia.

scholarly journals Pursuing Frugal Innovation for Sustainability at the Grassroots Level

2021 ◽  
pp. 1-8
Author(s):  
Mokter Hossain ◽  
Jarkko Levänen ◽  
Marleen Wierenga
Keyword(s):  
Developing Countries ◽  
Environmental Sustainability ◽  
Business Models ◽  
Business Strategies ◽  
Future Research ◽  
Frugal Innovation ◽  
New Business ◽  
Grassroots Level ◽  
Societal Problems ◽  
New Business Models

ABSTRACT Firms are often criticized for their reluctance to embrace sustainability in their business strategies. Frugal innovation is a recent concept that represents a new way for firms to serve underserved customers in developing countries while also promoting sustainability. Based on three cases of frugal innovation at the grassroots level in India, this article demonstrates how frugal innovation presents a promising way to tackle some of today's pressing societal problems with new business models. We use a range of parameters for economic, social, and environmental sustainability to strengthen the case for frugal innovation. This article attempts to inspire scholars to consider frugal innovation further in their future research endeavors and encourage firms to integrate it into their existing business models.

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