Analysis Of Technology Adoption Research Articles

Bibliometric Analysis of Technology Adoption for Enhancing Employee Well-being

This research employs bibliometric analysis to explore the intersection of technology adoption and employee well-being. By systematically retrieving and examining scholarly articles from prominent academic databases, the study highlights the evolution of technology in workplaces and its significant impact on employee wellness. Key insights are drawn from a range of bibliometric metrics, including citation analysis and co-occurrence maps, revealing trends, gaps, and emerging themes within the literature. The study demonstrates a critical shift in scholarly focus from traditional employee management practices to the integration of sophisticated technologies aimed at enhancing well-being. The results underscore the potential of technological innovations to improve workplace environments and suggest areas for further exploration, particularly in the realms of big data, e-government, and cross-disciplinary applications.

Empowering Medical Educators: A UTAUT Analysis of Technology Adoption in Inquiry-Based Learning

Empowering Medical Educators: A UTAUT Analysis of Technology Adoption in Inquiry-Based Learning

Exploring Constraints and Catalysts: A Comprehensive Analysis of Technology Adoption in Sri Lankan Small and Medium Enterprises

Purpose: Small and Medium Enterprises (SMEs) are considered as the backbone of the economy, however they face many difficulties and challenges for their survival. Adapting to changing technology is one of the primary challenges SMEs face. Globally new technologies such as social media and e-commerce have become the trend in contemporary business activities in Business to Consumer (B2C) communications for SMEs. The study aims to find the factors affecting to the adoption of technology in SME sector in an emerging economy, Sri Lanka.
 Design: The study utilized Technology, Organizational, and Environmental (TOE) model. The data was collected from 102 SME owners in Western province Sri Lanka who are registered as SME sectors with less than 50 employees. Qualitative data were collected from 7 SME owners through semi-structured interviews to evaluate new opportunities can gain via technology adaptation and to evaluate the impact of performance via technology adaptation in SME sector in Sri Lanka.
 Findings: Descriptive statistics revealed that there are substantial disparities in how organizations and the environment adapt to new technologies. The ordinal regression analysis emphasised that organizational and environmental factors significantly influence on adaption of technology. Content analysis revealed that SMEs have gained many new opportunities via adaption of technology such as expand their businesses from local to global using e-commerce platform and online money transactions. Social media has made direct business to business instant contact. Further, transparency of business transactions increase trust with suppliers and customers.
 Implications: The SME sector needs both new technology and updates existing technology status and guided towards modernization and continuous improvement process. Finding of this study will give policy makers and government officials on strengthening and arming SME sector with technology to face challenge and complete with local and international competition.

Analysis of Technology Adoption by SMEs Using Technology Organization Environment Model

Analysis of Technology Adoption by SMEs Using Technology Organization Environment Model

An Analysis of Technology Adoption by Export-oriented Manufacturers in Pakistan.

This paper analyses the issue of technology adoption by export-oriented enterprises based on survey data. Using the Rank Model of technology adoption, the paper explores the role of several firm level characteristics that can influence firm’s decision to adopt new technology. The results show that younger and bigger firms have a higher probability of technology adoption. Firms that have obtained certifications to product and process standards demonstrate a higher likelihood of technology adoption. Domestically-owned firms are found to have a higher probability of technology adoption as compared with foreign-owned firms. The empirical findings underscore the need for policy options to encourage export-oriented enterprises to adopt new technology including, for example, fiscal incentives to encourage research and development activities, and up-gradation of physical infrastructure for product testing to facilitate certifications. JEL classification: C25, L60, O14 Keywords: Manufacturing Industries, Probit Model, Technology Adoption.

Hydrogen technology adoption analysis in Africa using a Doughnut-PESTLE hydrogen model (DPHM)

The hydrogen economy requires the right conditions to produce hydrogen by sustainable routes and provide it to local and international markets for suitable applications. This study evaluated the political, economic, social, technological, legal, and environmental (PESTLE) conditions that can be instrumental in adopting hydrogen technologies most effectively by encapsulating aspects relevant to key stakeholders from hydrogen technology developers through to end-users. For instance, the analysis has shown that countries within a government effectiveness index of 0.5 and −0.5 are leading the planning of hydrogen economies through strategic cooperation with hydrogen technology developers. Furthermore, the combination of a Doughnut and PESTLE analysis created a novel approach to assessing the adoption of hydrogen technologies while evaluating the impact of the hydrogen economy. For instance, the estimated ammonia demand in 2050 and subsequent anthropogenic nitrogen extraction rate will be about two and a half times more than the 2009 extraction rate.

Social work and technology: Text mining three decades of scholarly literature (1985–2018)

Summary While the scholarly literature is abound with discussions of technology and its proliferation in different social work domains, evidence about what types of technologies are being used in various social work practice domains remains limited. The present study aimed to identify the larger trends in how technology has permeated the profession. The study sample comprised of 892 articles from a journal known for its contribution in publishing research on technology use in human services. Two methods were used—topic modeling and human-assisted analyses. Topic modeling was performed using MALLET, a machine learning tool which employs latent Dirichlet allocation over a fixed vocabulary for the corpus of text. Human-assisted analyses were performed using QDA Miner and MS-Excel to assist in the manual analyses. Findings In all, 29 topics in social work and 27 topics in technology domains were obtained. Social work education and mental health and clinical social work appeared as two of the top five social work domains in both topic modeling and human-assisted analyses. Management information system, communication technology, generic technology usage, and education technology were the top common topics in both types of analyses. Applications The present study findings have two applications. First, the descriptive analysis of technology adoption across diverse social work areas of research provides the first concrete evidence of how technology has been spread throughout social work. Second, the patterns of technology adoption across social work practice fields indicate some fields have limited research regarding technology.

An analysis of risk aversion in biotechnology adoption: the case of US genetically modified corn

This paper analyzes the role of risk aversion in biotechnology adoption with the application on the US genetically modified corn. A dynamic programming analysis of technology adoption is conducted using the Kalman filter as a representation of the associated learning process. The relevant Bellman equation is jointly solved within model estimation using a minimum-distance estimator. Results show that the more the risk-averse farmers are, the later they adopt GM technology, such effects being statistically significant. Sensitivity analysis results examine the factors affecting farmers’ behavior. They document the role of risk aversion in technology adoption. They also uncover the presence of farm heterogeneity in the process of adopting a new technology.

Land use and technology adoption analysis of paddy (Oryza sativa) cv. Basmati 370 in irrigated sub-tropics of Jammu district

Basmati rice (Oryza sativa L.) of Jammu district especially Basmati-370 variety is world famous among the different Basmati varieties grown in the region due to its delicious taste, superior aroma and distinct flavour.The present productivity level of rice is far from potential level.Thus in order to ascertain the impact of various cultivation practices adopted by the Basmati growers and different factors affecting its productivity, a research pursuit was undertaken in Jammu district with 120 randomly selected farmers. The study reveals that majority of farmers transplanted their paddy crop in second week of July, only 6% adopted seed treatment practice and none of the farmers adopted seedling treatment, 85% applied DAP after transplanting and urea was the only fertilizer - applied by almost all the growers. Butachlor was applied as pre emergence herbicide by about 65% of the farmers immediately after transplanting and 52 per cent farmers applied bispyric sodium herbicide for the control of post emergence weeds. None of the farmers used any type of pesticides in Basmati 370 in the study area. The average productivity of Basmati 370 paddy cultivar of respondent farmers was to the tune of 2.841 tonnes/ha. Multiple linear regression model so applied shows that use of DAP fertilizer significantly affected the productivity of Basmati 370 variety of paddy. Low use of agro-chemicals in Basmati 370 cultivation, indicate scope for promotion of good agricultural practices (GAPs) or organic cultivation of Basmati 370 for increasing its sustainability both at national as well as international level which may result in appropriate return in addition to environmental benefits.

Diagnostic Analysis of Technology Adoption and Factors Influencing Adoption Level of Tribal Farmers of Madhya Pradesh

The agricultural technologies developed in the country have generated more income and employment to the cultivators. However, tribal dominated regions of Madhya Pradesh falling under such conditions of agricultural backwardness have not yet been able to benefit from the fruits of technological innovation fully or even partly. Keeping this in view a study on technology adoption and its determinants has been conducted in Santna districts of M.P. Using multistage stratified random sampling techniques total 120 tribal farmers were selected from 10 villages of two block such as majhgawan and shohawal RD block of Stana district of Madya Pradesh. The examination of technology adoption revealed that the area under study was characterized by preponderance of low level of technology adoption and smaller sized farms, the position of which in respect of adoption of new technology was quite disheartening. The increase in the level of adoption was accompanied by increase in the size of holding, use of family workers and maintenance of bullock pairs/machinery. The increase in investment on fixed capital, particularly farm implements and machinery was associated with increase in the technology adoption. Wheat and Soyabean were the predominant crops of the area under study with the highest percentage of area under HYVs compared to other crops. The intensity of cropping, use of bullock labour and hired human labour were found to increase with the increase in the level of adoption. The scores of social determinant particularly literacy index exhibited positive influence on the level of technology adoption. Similarly, the scores of psychological determinants, viz., attitude towards HYVs, risk orientation and credit orientation were observed to increase with the increase in Further, it was observed that increase in the level of adoption was associated with increase in the level of income from the crops grown on sample farms.

Subjective Satisfaction with Off -Grid Electricity in Rural India

In recent years, o ff-grid technologies have begun to compete with grid extension in rural electrification. Because these technologies are often sold by private companies and only o er limited loads and hours of power, understanding people's subjective satisfaction with them is critical for the analysis of technology adoption. Unfortunately, existing studies do not distinguish between grid electricity and off -grid technologies. Here we use the freely available ACCESS dataset of 8,563 households in rural India to examine people's subjective satisfaction with grid and off -grid electricity. We find few differences in the average level of satisfaction even though o ff-grid technologies o er fewer hours of power. We also find that people using off -grid technologies are not very sensitive to the availability of hours, unlike households connected to the grid.

Technology adoption analysis of improved maize technology in western hills of Nepal

The survey was carried out in two districts namely Palpa and Baglung to determine the current level of adoption of improved maize production practices. This study identifies the technology adoption extent and pattern of improved maize technologies in Western Hills of Nepal. In each of these districts, two village development committees (V.D.Cs) were surveyed. Deurali and Khasyouli V.D.C from Palpa and Kudule and Malika V.D.C from Baglung Districts were selected. Structured Questionnaire were administered to 30 randomly selected households in each VDC. Altogether 120 Households were surveyed. The degree of adoption was measured on the seed rate, adoption of improved varieties, application of Nitrogenous, Phosphatic and Potassium fertilizer, Weeding and method of planting. The adoption index was used to determine the adoption level of the respondents. There seems to be a gap between the recommended practice and current level of practice at the farmers level in some of the factors like Nitrogenous, Phosphorus and Potassium fertilizers, method of planting .The study revealed that majority farmers belonged to high adoption category (57%) followed by medium adoption category (54%) and low adoption category (9%). The Technology Adoption Index (TAI) was found 63%. In nutshell there is still large scope for yield improvement of the maize in the study area by adopting improved maize varieties.Journal of Maize Research and Development (2015) 1(1):146-152DOI: http://dx.doi.org/10.5281/zenodo.34265

Policy Perspective Analysis of Technology Adoption in Industries

Technology innovation offers new paradigm for economic development in the globalized world. Business sector role is significant for the development of the country. Technology adoption is very critical and risk taking decisions for the firms. Firms require greater experience and investment for undertaking technology adoption decision. This paper demonstrates the trend of technology adoption in firms of developing countries and explores industrial landscape features. The case study of Pakistan is used for analysis, it represents the developing country of Asia. The paper used the content analysis method. The key points extracted by using the Socio-economical development indicators. This study is twofold. First highlights the problems and second identify the best strategies for adoption of technology in firms by the government.

Model Proses Adopsi Teknologi di AgroIndustri Lada dengan Fuzzy Inference System

Technology, as one component of agroindustry development system, has a strategic role. It can only be realized if new technology is difussed and adopted. Adoption of technology in the processing of white pepper is still very low. It is therefore necessary to study with the aim to develop a model of agroindustry technology adoption process, and to formulate strategic policy for its acceleration. Model of measuring and predicting user acceptance of new technology is adopted from Unified Theory of Acceptance and Use of Technology (UTAUT) model. Mapping and prediction model technology adoption rates are expressed as a form of usage behavior. The model consists of two parts sub models namely intention to use sub models and support facilities sub model. To deal with vagueness in analysis of technology adoption, fuzzy inference system is used on mapping and level prediction of technology adoption.Keywords: technology, process, model, fuzzy inference system, agroindustry

Value Analysis Framework for RFID Technology Adoption in Retailers in China

Recently, RFID has emerged to be a promising technology to revolutionize the supply chain and logistics management. Currently there exists a sharp contrast between retailers in China and their counterparts in the United States with respect for RFID adoption. In the United States, big retailers like Wal-Mart are actively pursuing RFID by issuing mandates to their suppliers worldwide for RFID adoption. However, retailers in China never enjoy such a dominating role in pursuing RFID. To explore what is behind this phenomenon, in this paper, an analysis framework is proposed to develop decision support tools for RFID technology adoption analysis in retailers in China. The framework is realized in a service platform developed based on three principles to help reach mutual understanding between RFID vendors and customers in RFID technology adoption analysis. The framework is illustrated and validated through an example to demonstrate its feasibility to help to analyze the adoption of RFID technologies retailers in China. The technology analysis service platform integrates various tools enabling interactive and flexible analysis processes to understand how RFID technology can be adopted and used effectively in retailers in China and in logistics and supply chain management.

Location and uptake: integrated household and GIS analysis of technology adoption and land use, with application to smallholder dairy farms in Kenya

GIS-derived measures of location and space have increasingly been used in models of land use and ecology. However, they have made few inroads into the literature on technology adoption in developing countries, which continues to rely mainly on survey-derived information. Location, with all its dimensions of market access, demographics and agro-climate, nevertheless remains key to understanding potential for technology use. The measures of location typically used in the adoption literature, such as locational dummy variables that proxy a range of locational factors, now appear relatively crude given the increased availability of more explicit GIS-derived measures. This paper attempts to demonstrate the usefulness of integrating GIS-measures into analysis of technology uptake, for better differentiating and understanding locational effects. A set of GIS-derived measures of market access and agro-climate are included in a standard household model of technology uptake, applied to smallholder dairy farms in Kenya, using a sample of 3330 geo-referenced farm households. The three technologies examined are keeping of dairy cattle, planting of specialised fodder, and use of concentrate feed. Logit estimations are conducted that significantly differentiate effects of individual household characteristics from those related to location. The predicted values of the locational variables are then used to make spatial predictions of technology potential. Comparisons are made with estimations based only on survey data, which demonstrate that while overall explanatory power may not improve with GIS-derived variables, the latter yield more practical interpretations, which is further demonstrated through predictions of technology uptake change with a shift in infrastructure policy. Although requiring large geo-referenced data sets and high resolution GIS layers, the methodology demonstrates the potential to better unravel the multiple effects of location on farmer decisions on technology and land use.

Location and uptake: integrated household and GIS analysis of technology adoption and land use, with application to smallholder dairy farms in Kenya

AbstractCIS‐derived measures of location and space have increasingly been used in models of land use and ecology. However, they have made few inroads into the literature on technology adoption in developing countries, which continues to rely mainly on survey‐derived information. Location, with all its dimensions of market access, demographics and agro‐climate, nevertheless remains key to understanding potential for technology use. The measures of location typically used in the adoption literature, such as locational dummy variables that proxy a range of locational factors, now appear relatively crude given the increased availability of more explicit GIs‐derived measures. This paper attempts to demonstrate the usefulness of integrating CIS‐measures into analysis of technology uptake, for better differentiating and understanding locational effects. A set of GIs‐derived measures of market access and agro‐climate are included in a standard household model of technology uptake, applied to smallholder dairy farms in Kenya, using a sample of 3330 geo‐referenced farm households. The three technologies examined are keeping of dairy cattle, planting of specialised fodder, and use of concentrate feed. Logit estimations are conducted that significantly differentiate effects of individual household characteristics from those related to location. The predicted values of the locational variables are then used to make spatial predictions of technology potential. Comparisons are made with estimations based only on survey data, which demonstrate that while overall explanatory power may not improve with CIS‐derived variables, the latter yield more practical interpretations, which is further demonstrated through predictions of technology uptake change with a shift in infrastructure policy. Although requiring large geo‐referenced data sets and high resolution GIS layers, the methodology demonstrates the potential to better unravel the multiple effects of location on farmer decisions on technology and land use.

Flexible panel data models for risky production technologies with an application to salmon aquaculture

Primal panel data models of production risk are estimated, using more flexible specifications than has previously been the practice. Production risk has important implications for the analysis of technology adoption and technical efficiency, since risk averse producers will take into account both the mean and variance of output when ranking alternative technologies. Hence, one should estimate technical change separately for the deterministic part and the risk part of thetechnology.

Technology Adoption and Welfare under a Monopoly: An Illustration of Microeconomic Policy Analysis

Conventional classroom analysis of technology adoption in a monopoly neglects some important situations. A more comprehensive analysis provides the instructor with opportunities to present some critical economic concepts. By permitting intersecting cost functions, one can show why innovations may be adopted, whether adoption increases welfare, and what relationship exists between quantity, welfare, and adoption. A graph can be used to illustrate the importance of quantity in determining consumer welfare and to illustrate how private and social welfare diverge in a monopoly. A further insight allows comparison of graphical and mathematical approaches to economic analysis.