Determinants Of Technology Adoption Research Articles

Beyond technology acceptance: Development and evaluation of technology-environmental, economic, and social sustainability theory

Cutting-edge technologies play a pivotal role in achieving the three pillars of sustainable development: environment, economy, and society. These technologies might have positive or negative impacts on sustainable development. While IS theories, such as TAM, UTAUT, and UTAUT2, have provided invaluable insights into the determinants of technology adoption and use, they overlooked the subsequent impacts of technology use. From the sustainability perspective, this necessitates a holistic theoretical framework that goes beyond existing IS theories/models by examining the direct effect of technology use on environmental, economic, and social sustainability. Therefore, we developed the Technology-Environmental, Economic, and Social Sustainability Theory (T-EESST) in this research. T-EESST extends beyond existing IS theories by linking technology use to the three dimensions of sustainability. Due to its inclusivity of all facets of sustainability, the Metaverse is selected as a case study to evaluate the T-EESST. The data collected from a survey of 311 Metaverse users provided empirical support for T-EESST. The results showed that technology use significantly impacts environmental, economic, and social sustainability. The T-EESST contributes significantly to the IS and sustainability literature by bridging the gap between technology acceptance models and sustainability. The study offers practical implications for policymakers, decision-makers, developers, designers, service providers, and practitioners. It also provides numerous research directions as a road map for future extensions to T-EESST.

Factors related to information and communication technologies adoption in small businesses in Colombia

This study is an analysis of how a set of factors influenced the decision to adopt information and communication technologies (ICTs) in small businesses in Colombia; for this purpose, a logistic modeling is applied, wherein the explained variable represents the companies’ decision to adopt ICTs. The main explanatory elements include demographic aspects of the owner, the company characteristics, and the legal practice of the company and its social capital. Data from the Microbusiness Survey 2019 conducted by the National Administrative Department of Statistics of Colombia were employed. The results show that traits such as owner age and gender affect adoption. Furthermore, variables such as the age and size of the company, the amount of computer equipment, business formalization practices, and social capital influence the use of these technologies. Therefore, it follows that the individual features of business owners are also determinants of technology adoption, and their inclusion becomes essential to supplement the analysis of these issues. In addition, the study supports the evidence that the acceptance of these technologies is positively related to the business size and infrastructure. By exploring, for example, the business formalization factor, a positive effect is obtained; consequently, the implementation of legal practices is linked to the ICT use. Thus, some of the areas for policy implementation would be, on one hand, the endowment of computer equipment, since it is a critical aspect in these small businesses, for which a subsidy policy for the acquisition of devices would be useful. In addition, the promotion of business formalization practices could lead to an improvement in the firm’s culture of technology use.

Determinants of Technology Adoption in Livestock Production: Empirical Evidence from Sheep and Goat Farming in Kogi State, Nigeria

Determinants of Technology Adoption in Livestock Production: Empirical Evidence from Sheep and Goat Farming in Kogi State, Nigeria

Determinants of Technology Adoption and Intensity of Adoption among Rice Farming Households in Ogun State, Nigeria.

Purpose: Production and productivity of the agricultural sector in SSA is low due to low technological adoption and techniques among others. One of the major goals of Nigerian agriculture development programs and policies is transition from low productivity subsistence agriculture to a high productivity agro-industrial economy through improved technology adoption.
 Methodology: A multi-stage sampling technique was used in this study to select 158 rice farming households The first stage involved the purposive selection of two Agricultural Development programme zones (Ikenne and Abeokuta zones) in the state. The second stage was purposive selection of two blocks per zone based on the concentration of rice farmers. Six farming cells were randomly selected from each block making a total of twenty-four (24) farming community, seven rice farmers were randomly selected from each farming cell giving a sample size of 168 rice farmers. A set of structured questionnaires were used to collect data. Out of the 168-questionnaire administered 158 of it were gotten and used for the study. The data were analysed using descriptive statistics, adoption index, tobit regression model.
 Findings: Technologies adoption was high among the young farmers than the older farmers. The household size was also a determinant factor of technology adoption. As the household increases in size, there is high probability that all the production technologies will be adopted. Access to credit facility was found to be positive and significant in all the production technologies available to the rice farmers.
 Recommendations: It was recommended that the young people should be encouraged to modern technologies available for rice production, the farmers should be educated on modern technologies in the production of rice. Credit facilities should be made available for the farm household.

A multinomial approach to sustainable and improved agricultural technologies vis-a-vis socio-personal determinants in apple (Malus domestica) cultivation

BackgroundExtreme poverty is widespread among farm families in the rural areas of developing countries including India. Farmers toil hard in their fields to meet the growing demands of their families. Different techniques and technologies have been generated at different research institutes, experimental stations, and farm science centers. However the same technology is not properly disseminated to the farmers and the farmers usually follow traditional practices at their farms leading to low production, productivity, and yield of major crops grown worldwide, hence threatening the livelihoods and food security of the world population in a general and farming community in particular. MethodsThe present study described the socio-personal characteristics, identified the stages and categories of technology adoption with help of multinomial logistic regression. A multistage sampling procedure was adopted to collect the data from the concerned apple growers. The study used mixed methods, combining focus group discussions, key informant interviews, and a household survey. ResultsThe study found that only nine out of fifteen technologies disseminated in the area have been fully adopted with a greater proportion (42.5 %) of the apple growers classified as early adopters of the recommended sustainable and intensified improved practices. The adoption of scientific technology is always the central focus of policymakers and planners in the developing world. Important to note is that the growers are in their active (42 years) farming age and have acquired 22 years’ experience which is long enough to understand that traditional practices are not as productive compared to the recently improved/recommended practices. The study also revealed that the determinants of technology adoption are age, experience, level of education, annual income, extension contact, and scientific orientation. ConclusionThe study, recommends that policymakers should capitalize on the determinants to design better programs relating to the adoption of sustainable improved technologies that will help in alleviation of poverty and ensure food security.

Determinants of technology adoption and continued use among cognitively impaired older adults: a qualitative study

BackgroundTechnology offers opportunities to support older adults with mild cognitive impairments to remain independent and socially connected, but is often not used. Although determinants of technology use among older adults in general are well studied, much less is known about how these factors impact technology use behaviour in cognitively impaired older adults. This study aimed to bridge this gap in research by examining the factors underlying technology use in community-dwelling older adults with mild cognitive impairments.MethodsWe applied a generic qualitative design and used 16 semi-structured interviews to collect data from Belgian (Flemish) community-dwelling older adults diagnosed with Mild Cognitive Impairment or dementia and informal caregivers. To get data from different perspectives, a focus group with professional caregivers was added. We used thematic analysis with an inductive approach to identify and select themes from the data.ResultsWe identified two themes: introduction of technology and determinants of technology adoption and continued use. Successful technology adoption in cognitively impaired older adults is need-driven and subject to individual, technological and contextual characteristics. Specific for older adults with cognitive impairments are the importance of disease awareness and cognitive ability for adoption and continued use, respectively. Although social support can be a valuable alternative to technology, it is an important facilitator of continued technology use in these older adults. Similarly, integration of technologies in daily routines can buffer discontinuation of technologies.ConclusionsFuture research is encouraged to validate our findings in a postpandemic era and to further develop a novel theoretical framework for technology acceptance among older adults with cognitive impairments. Moreover, identification of crucial determinants as well as strategies to remove use barriers are also important future research tasks. Clinical practice should focus on improving disease awareness to facilitate technology adoption and policies should invest in training and support of professional caregivers and in reimbursement strategies to facilitate implementation of technology in practice.

Gains from Improved Technology Adoption in Disadvantaged Regions: Evidences from Bundelkhand Region

This paper explores the status and determinants of technology adoption in terms of shifting towards high yielding varieties, micro-irrigation and mechanization in Bundelkhand zone of the country. Bundelkhand is a water scarce area of the country and needs policy interventions in the form of efficient water utilization and enhanced production. The results indicated that despite least adoption of sprinkler in the region, micro-irrigation has resulted in water use conservation and improved yields and in comparison to conventional irrigation method. The findings revealed that, age, income from cultivation, possession of MGNREGA job card and membership of any local and village level organization had a considerable impact regarding the decision to adopt improved agricultural varieties and micro-irrigation implying that the security nets provided in any form motivates the households to adopt improved technology. Size of operated land, income from non-agricultural activities along with possession of Kissan Credit Card were the significant factors in case of farm mechanisation.

\u201cCursed is the ground because of you\u201d:

This paper analyses culture as a determinant of technology adoption in a developing country. While the literature discusses the influence of culture upon economic growth, little attention has been paid to the mechanisms at the micro level. Therefore, we postulate that culture plays a crucial role in hindering or fostering the diffusion of innovation, a key trigger of the engine of growth. This empirical study uses the Ethiopia Rural Household Survey to disentangle between individual cultural traits, namely, ethnicity and religion, and the cultural homogeneity of the environment as co-determinants of fertiliser adoption. To examine our hypotheses, we apply a multivariate survival model for clustered and correlated observations to account for time and location effects. The results reveal significant differences in the probability of adopting fertiliser among cultural groups. Moreover, habits and social norms, proxied by ethnicity, provide a better explanation for the role of culture, than religious beliefs, as usually posited in the literature. Also, the cultural environment turns out tobe a decisive trigger. The probability of adoption is higher in rural societies with a homogeneous ethnic environment but distinct religious variety.

Determinants of technology adoption in US oil and gas industry

Studies point out that the extent of new technology adoption in an organisation is a good indicator of both successful implementation and integration of such technology in operations. Implementation of new technologies in an organisation requires proper top management support and resource commitment for resource requirements to adoption effort. An important measure to indicate organisational readiness to adopt new technology is the organisation's absorptive capacity. New and innovative technologies are continuously being introduced in O&G industry despite the turbulent economic cycle it had been facing since 2014. Yet this segment of economy has received less attention in scientific management studies. The current study empirically investigates relationship between key variables identified in adoption literatures- i.e., absorptive capacity, top management support, resource commitment, and task-technology fit with adoption of new technology in US Oil and Gas (O&G) industry. Discussion of the empirical results, implications, and limitation of this study is also provided.

Determinants of technology adoption in US oil and gas industry

Determinants of technology adoption in US oil and gas industry

Teachers’ perceptions of the potential use of educational robotics in management education

ABSTRACT There is increasing interest in the potential use of educational robotics (ER) in higher education. Few studies have considered teachers’ perceptions of using ER outside science and engineering. This qualitative research aims to investigate university teachers’ perceived opportunities and challenges of using ER in management education from three interconnected dimensions, curriculum, pedagogy, and technological domain, by means of narrative analysis. The findings suggest the potential of using ER to develop discipline-specific knowledge and technological and transferable skills for management students. This research contributes by enriching the current conceptual discussions predicated upon teachers’ perceptions as determinants of technology adoption, and ER’s role in engaging students in the learning process premised on Vygotskian social constructivism. Practically, this paper provides insights into exploring the possibilities and obstacles of adopting ER in management education.

Determinants of Technology Adoption: Evidence from the Chinese Banking Industry

ABSTRACT The decision on online banking adoption is a strategic choice by banks with multiple purposes. Using panel data on banks with hand-collected information on adoption decisions from 2002 to 2016, this article is the first to examine the determinants of online banking adoption in China. We first construct a theoretical model to illustrate banks’ online service adoption strategy and then test the determinants of online banking adoption decisions. Our model compares the patterns of online banking adoption decisions at large national banks and small banks. The model and empirical results show that banks with a larger geographic market adopt online banking earlier, and banks’ online banking adoption may be motivated by having competitors that have already adopted this technology. We also find evidence that online banking is a substitute for physical branches. Our results shed light on the banks’ effective management of online and offline services.

Adoption Determinants of Biofertilizer Technology for Soybean in Rainfed Area

The target of the Government of Indonesia (the GoI) for achieving soybean self-sufficiency in 2018-2020 makes some efforts for increasing soybean production requiring the increase of productivity, as well as harvest area, should be done. The rainfed area is an excellent potential for soybean cultivation area expansion in Indonesia. The area reaches 3.1 million ha in Indonesia with 413,000 ha are in South Sulawesi Province. It mostly does not use for soybean cultivation due to limited water availability. Cropping patterns in the rainfed area are paddy - fallow, paddy - corn, paddy - soybean, or paddy - mungbean depends on the water availability. The productivity of soybean in the rainfed area is around 1.5 t/ha, and it is expected to be increased in the range of 1.8-3.2 t/ha. Dissemination of biofertilizer technology for soybean in the rainfed area named “Biodetas” was conducted during the dry season of 2017 in Tompobulu Sub-district, Maros Regency, South Sulawesi Province. Components of “Biodetas” technology introduced include (1) the use of biofertilizer (Agrisoy), (2) the reducing of NPK fertilizer use, (3) the use of leaf fertilizer, as well as (4) the use of organic fertilizer. The dissemination scale was 40 ha then compared to 5 ha of the existing cultivation. Research aimed to determine factors affecting farmers to adopt the biofertilizer technology of “Biodetas”. Research used regression analyses using a binary logic model with the IBM SPSS Statistics 20 program. Variables used were farmers’ experience on soybean cultivation, formal education, the extent of soybean planting area, soybean production, income from soybean, rice, and other farming activities, as well as dummy variables for land ownership status, biofertilizer production inputs access, improved seed access, and higher production cost should be provided by farmers. The application of “Biodetas” was able to increase soybean yield to 2.7 t/ha, 71% higher compared to the existing technology that produced 1.6 t/ha soybean. It is economically feasible to be adopted by farmers with B/C ratio1.2. The determinant of technology adoption by farmers was the extent of the soybean planting area. The larger soybean planting area will accelerate the adoption of technology. It may be related to landowners’ economic capability to provide the necessary production inputs to obtain the optimal yield.

Trust attributes of mobile applications for improved self-management of diabetes in South Africa

Background: Information technology (IT) trust is an important concept as people today rely more on IT to perform their tasks than before. A current review of information systems literature suggests that trust in technology is a key determinant of technology adoption, use and an accelerator of understanding user perception. User perceptions of a technology’s characteristics influences the users’ initial decision to adopt the technology, while the user is less likely to make use of the technology if they perceive significant risk linked to the technology exploration. Objectives: This study focused on trust in relation to adoption of mobile applications for self-management of diabetic treatment regimens. The aim was to identify components that should be incorporated into these applications to positively influence user perception of trustworthiness for enhanced adoption. Method: This research study adopted the qualitative research approach with a survey design. Questionnaires were used to solicit user trust opinions and views of mobile applications for diabetes treatment management influencing adoption and continued use. Twenty people living with diabetes participated in the study by agreeing to download and try the Diabetes:M application, a diabetes self-management application for mobile devices from Google Play store. The diabetes application enables patients to log their treatment, create reminders and track treatment progress. Results: Functionality, usability, information accuracy and reliable information generated by diabetes applications were important elements identified by patients to trust these applications. Conclusion: Research findings showed that the applications for diabetes self-management should be usable, possess enough functionalities, give accurate information for decision-making, be reliable and secure to enhance the trust of people with diabetes.

Adoption of Good Agronomic Practices (GAP) Among Smallholder Rice Farmers in Nigeria Agricultural Transformation Agenda

This study assessed the adoption rate and identified factors influencing adoption of rice technologies among participants of Agricultural Transformation Agenda across the targeted implementation zones of Adani-Omor, Bida-Badeggi, Kano-Jigawa and Kebbi-Sokoto. Multi-stage sampling procedure was used in selecting eighty respondents for the study. The data were collected with the aid of structured questionnaire. Descriptive statistics and Tobit regression model were employed in the analysis of data. The study revealed that majority of farmers participating in Agricultural Transformation Agenda Project (ATASP-1) are youths and still in their active age as indicated by the average age of 42 years. About 62% have secondary and tertiary education. On the gender distribution of the people engaged in ATASP-1 project, it was revealed that about 92% were male while only 8% were female. Substantial numbers of technologies were disseminated on rice being promoted under ATASP-1 project and the adoption rate of these technologies was very high. More than three-quarter of the respondents have adopted technologies introduced to them. Adoption of rice technologies among participating farmers is largely depends on socioeconomic characteristics of farmers such as age, education and gender of the respondents. The study recommends that there should be continuous training of farmers on the importance of these technologies as well as techniques behind their utilization to ensure continuous usage of the adopted technologies. Women should be encouraged to participate more in the project and to take up farming as a business. Also, adequate attention should be given to farmers socioeconomic characteristics as these are the determinants of technology adoption. Keywords: Adoption, GAP, Rice Farmers, Agricultural Transformation Agenda DOI : 10.7176/JESD/10-15-02 Publication date : August 31 st 2019

Technological Innovation and Its Impact on Public Sector Efficiency and Performance: Aerial Imagery in Property Tax Assessment Administration

ABSTRACTTechnological innovations can help public organizations deliver higher quality public goods and services at lower average costs. While a considerable literature exploring the determinants of technology adoption and diffusion exists, much less is known on whether technology innovations improve public sector outputs. This study investigates the impact of high-resolution, oblique aerial imagery, an increasingly common technology used by local governments in the US, on the inspection efficiency and quality of property assessment administration. Aerial imagery is often argued to be a low-cost substitute to in-person inspections of property. Drawing on data from 2013 through 2017 for property assessing districts in Texas, aerial imagery use is found to improve the rate at which properties are inspected as well as improve the quality of assessments. The results further provide evidence that investments in aerial imagery are best justified on budgetary grounds rather than as a means to improve organizational performance.

Exploring teacher pedagogy, stages of concern and accessibility as determinants of technology adoption

This research examines how the pedagogical orientations of teachers affect technology adoption in the classroom. At the same time, the authors account for the stage of concern that teachers are experiencing regarding the use of the technology, their access to the technology and the level of schooling at which they teach.The authors’ investigation of these factors occurs in the context of a contemporary technology, the interactive whiteboard (IWB), in Australian schools. A structural equation model was estimated using a reflective measure of technology usage with antecedents in the form of pedagogical-oriented beliefs and best–worst scaling derived scores for a teacher’s stage of concern regarding IWBs. Teachers with constructivist-oriented pedagogical beliefs were significantly more likely to use IWBs than transmission-oriented teachers. However, the strongest determinant of usage was whether the technology is immediately accessible or not.

Social Exchanges, Attitudes Toward Uncertainty and Technology Adoption by Bangladeshi Farmers: Experimental Evidence

The literature discusses risk aversion as one of the behavioral determinants of technology adoption. However, little attention has been paid to measuring ambiguity aversion of poor people in developing countries or in finding the role of ambiguity aversion in technology adoption. Risk experiments in the previous studies have been designed in such a way that individuals face the risky and/or ambiguous situations alone. Individuals in the real world, especially farmers in developing countries, are likely to get information from peers before making any decision regarding a new innovation that has an ambiguous nature. This paper addresses two broad issues. The first issue is to measure the risk and ambiguity preferences of Bangladeshi rural farmers. The paper investigates whether the attitudes toward uncertainty (risk and ambiguity) differ when farmers face the uncertainty alone versus when they are allowed to communicate with peer groups of 3 or 6. It also investigates whether farmers' demographic characteristics affect their attitudes toward uncertainty or not. A second issue is to find whether a farmer's ambiguity aversion is important in explaining technology adoption decisions. Combining measured behavioral variables from the experimental data with a household survey data, the study provides two conclusions. First, Bangladeshi farmers in the sample are mostly risk and ambiguity averse. Their risk and ambiguity aversion, moreover, differ when they face the uncertain prospects alone from when they can communicate with other peer farmers before making decisions. The study also finds that farmer's demographic characteristics affect both risk and ambiguity aversion. Second, and perhaps more importantly, findings from the study suggest that the roles of risk and ambiguity aversion on technology adoption depend on which measure of uncertainty behavior is incorporated in the adoption model. While risk aversion increases the likelihood of technology adoption when farmers face uncertainty alone, only ambiguity aversion matters and it reduces the likelihood of technology adoption when farmers face uncertainty in groups of three. Neither risk aversion nor ambiguity aversion matter when farmers face uncertainty in groups of six.

Technology Motivation in E-Marketing Adoption Among Malaysian Manufacturers

E-marketing technology adoption and use continues to vary, despite widespread acceptance of the Internet in corporate environments. This study aims to explore the role of technology motivation in the adoption of e-marketing technology among firms. A survey was sent to 1,700 corporate managers in Malaysia based on the Federation of Malaysian Manufactures (FMM) directory. The unit of analysis was the Strategic Small Business Unit (SBU). The results revealed that technology motivation influences e-marketing technology adoption. The findings also support previous studies on the influence of management support in firm's technology adoption. Our results support findings of similar studies that management support is an important internal determinant of technology adoption. This article helps to fill the gap in the literature and provide a clearer understanding of the motivations for adoption of technology for e-marketing purposes.

Adoption of Inorganic Fertilizer by Urban Crop Farmers in Akwa Ibom State, Nigeria

This study was conducted between November, 2013 and April, 2014 in Uyo, the capital of Akwa Ibom State, Nigeria to empirically identify factors affecting the rate of adoption of chemical fertilizer by urban crop farmers. Through the multistage sampling procedure, 60 urban crop farmers were selected and interviewed with the aid of questionnaires. Data were analyzed using Tobit regression analysis. Results showed that the rate of chemical fertilizer adoption was positively and significantly related to land size, age, credit and education at (P<0.01) and (P<0.10) respectively, whereas average walking time to farm and soil fertility status were negatively and significantly related to fertilizer adoption and use intensity. This is an indication of the relevance of land, education and credit as determinants of technology adoption. It implies that the rate of adoption of fertilizer technology is strongly linked to these factors. Findings underscore the need to embark on market oriented interventions which will encourage urban farmers to adopt improved farming techniques as suitable policy decision. Enhancing human capital and availability of credit at lower cost are policy options that should be vigorously pursued.