Technology-related Barriers Research Articles

Prioritizing solutions for overcoming knowledge transfer barriers in software development using the fuzzy analytic hierarchy process

An effective knowledge transfer (KT) process is a key factor in achieving the competitive advantage that is critical for software development companies seeking to maintain their existence and improve their performance. However, there do exist obstacles to the achievement of effective knowledge transfer. Companies often face difficulties in identifying those barriers that have the great impact on KT as well as the best solutions with which to address them. Through a systematic literature review and interviews conducted with 15 experts, we identified 21 KT barriers and 12 KT solutions. The barriers were classified into three categories: team, project, and technology. Then, using the fuzzy analytic hierarchy process, the identified KT barriers and solutions were ranked. The result of this research is a list of ranked KT barriers and solutions relevant to software development. Poor communication and interpersonal skills, lack of management direction, and challenges to transactive memory systems topped the list of team-, project-, and technology-related barriers, respectively. It was further found that an additional weekly meeting is the best solution with which to overcome the barriers to KT.

Barriers to big data analytics in manufacturing supply chains: A case study from Bangladesh

Recently, big data (BD) has attracted researchers and practitioners due to its potential usefulness in decision-making processes. Big data analytics (BDA) is becoming increasingly popular among manufacturing companies as it helps gain insights and make decisions based on BD. However, there many barriers to the adoption of BDA in manufacturing supply chains. It is therefore necessary for manufacturing companies to identify and examine the nature of each barrier. Previous studies have mostly built conceptual frameworks for BDA in a given situation and have ignored examining the nature of the barriers to BDA. Due to the significance of both BD and BDA, this research aims to identify and examine the critical barriers to the adoption of BDA in manufacturing supply chains in the context of Bangladesh. This research explores the existing body of knowledge by examining these barriers using a Delphi-based analytic hierarchy process (AHP). Data were obtained from five Bangladeshi manufacturing companies. The findings of this research are as follows: (i) data-related barriers are most important, (ii) technology-related barriers are second, and (iii) the five most important components of these barriers are (a) lack of infrastructure, (b) complexity of data integration, (c) data privacy, (d) lack of availability of BDA tools and (e) high cost of investment. The findings can assist industrial managers to understand the actual nature of the barriers and potential benefits of using BDA and to make policy regarding BDA adoption in manufacturing supply chains. A sensitivity analysis was carried out to justify the robustness of the barrier rankings.

Interpretive structural modeling for technology-related barriers to energy efficiency improvement in Indonesia steel industry

This paper investigates the existence of the barriers in Indonesia steel industry, namely: existing technologies were still considered efficient, new technologies not available, new technology not adequate or inappropriate at the site, the energy efficient technology not compatible with other elements of the plant, the uncertainty about future technology standards, lack of technical skills, technology installation period was too long, and poor information quality regarding access to new energy efficient technology. Five practitioners from the national steel industry were retrieved to identify and analyze critical elements and the causal interrelationships among the technology-related barriers. Finally, using the approach of interpretive structural modelling, the barriers were clustered in accordance with their driving power and dependence power. Lack of reliable information access about new technologies is the only barriers at the bottom level of the hierarchy, implying higher driving power. It is also observed that the availability of new technologies, existing technology still efficient, and the uncertainty about future technology standardization have a weak dependent on the other constructs but strongly driver. The four remaining constructs are identified as dependent obstacles. It means that these barriers are the automatic followers of other impediments. The result of this model will assist managers to understand the relative importance and the interdependencies among the barriers. It can guide them to resolve these barriers.

Addressing Disparities in Diabetes Management Through Novel Approaches to Encourage Technology Adoption and Use.

Type 2 diabetes (T2D) is one of the nation’s leading drivers of disability and health care utilization, with elevated prevalence among individuals with lower education, income, and racial/ethnic minorities. Health information technology (HIT) holds vast potential for helping patients, providers, and payers to address T2D and the skyrocketing rates of chronic illness and associated health care costs. Patient portals to electronic health records (EHRs) serve as a gateway to consumer use of HIT. We found that disparities in portal use portend growing T2D disparities. Little progress has been made in addressing identified barriers to technology adoption, especially among populations with elevated risk of T2D. Patients often lack digital literacy skills and continuous connectivity and fear loss of the relationship with providers. Providers may experience structural disincentives to promoting patient use of HIT and apply hidden biases that inhibit portal use. Health care systems often provide inadequate training to patients and providers in use of HIT, and lack resources devoted to obtaining and optimizing use of data generated by HIT. Lastly, technology-related barriers include inadequate consideration of user perspectives, lack of evidence for patient-focused apps, and lack of features to enable providers and health care systems to readily obtain aggregate data to improve care and facilitate research. After discussing these barriers in detail, we propose possible solutions and areas where further research is needed to ensure that individuals and health care systems obtain the full benefit of the nation’s planned $38 billion HIT investment. A digital inclusion framework sheds new light on barriers posed for patients with social health inequalities. We have determined that partnerships with community organizations focused on digital inclusion could help health systems explore and study new approaches, such as universal screening and referral of patients for digital skills, health literacy, and Internet connectivity.

Hispanic Older Adult's Perceptions of Personal, Contextual and Technology-Related Barriers for Using Assistive Technology Devices.

Assistive technologies (AT) are tools that enhance the independence, safety, and quality of life of older people with functional limitations. While AT may extend independence in ageing, there are racial and ethnic disparities in late-life AT use, with lower rates reported among Hispanic older populations. The aim of this study was to identify barriers experienced by Hispanic community-living older adults for using AT. Sixty Hispanic older adults (70years and older) with functional limitations participated in this study. A descriptive qualitative research design was used guided by the principles of the Human Activity Assistive Technology Model to gain in-depth understanding of participants' perspectives regarding barriers to using AT devices. Individual in-depth semi-structure interviews were conducted, using the Assistive Technology Devices Cards (ATDC) assessment as a prompt to facilitate participants' qualitative responses. Data analysis included descriptive statistics and rigorous thematic content analysis. Lack of AT awareness and information, cost of AT, limited coverage of AT by heath care plans, and perceived complexity of AT were the predominant barriers experienced by the participants. A multi-level approach is required for a better understanding of the barriers for using AT devices. The personal, contextual, and activity-based barriers found in this study can be used to develop culturally sensitive AT interventions to reduce existent disparities in independent living disabilities among older Hispanics.

Innovation and adoption of energy efficient technologies: An exploratory analysis of Italian primary metal manufacturing SMEs

Additional efforts will be needed by European countries to improve the energy efficiency, as with current trends the 20% objective will be missed. Small and medium-sized enterprises (SMEs) manufacturing sector is a promising field, as SMEs are less energy-efficient than larger enterprises. Several studies investigated the barriers to the diffusion of technologies and practices for industrial energy efficiency, but little attention has been paid to understand the factors affecting the perception of such barriers by SMEs. In this multiple case-study, we have investigated 20 Primary Metal manufacturing SMEs in Northern Italy. Economic and information barriers are perceived as the major issues. Interestingly, firm's size, innovativeness of the market in which enterprises operate, as well as product and process innovation are factors affecting barriers to energy efficiency. Differences have been observed within SMEs, especially for information and competence-related barriers. In particular, a more innovative external context in which enterprises operate and a greater production process complexity seem to reduce barriers. Moreover, more product innovative enterprises seem to have a lower perception of behavioral and technology-related barriers. The results of this exploratory investigation provide useful suggestions for policy design and further research on industrial energy efficiency.

Vehicle Miles Traveled Fee System in Nevada

Several barriers are associated with the implementation and deployment of a vehicle miles traveled (VMT) fee system; these barriers range from technology issues to public acceptance. Technology-related barriers are easier to address compared with public-related barriers. In addition, addressing technological barriers requires explicit consideration of the public's attitudes and preferences in relation to various technological options. Public perceptions of and billing preferences for a VMT fee system in Nevada were studied. A survey questionnaire was developed to capture these perceptions and preferences. A series of discrete choice models—ordered, probit, and logit models—were tested to determine the best model to use for evaluating the results of the survey. Multinomial logit models provided the best explanatory power. Modeling assumptions were tested to ensure adequate results. The model provided several interesting insights about public perceptions and preferences in regard to the VMT system. On the basis of these insights, some policy recommendations are provided.

Taking reading comprehension exams on screen or on paper? A metacognitive analysis of learning texts under time pressure

People often attribute their reluctance to study texts on screen to technology-related factors rooted in hardware or software. However, previous studies have pointed to screen inferiority in the metacognitive regulation of learning. The study examined the effects of time pressure on learning texts on screen relative to paper among undergraduates who report only moderate paper preference. In Experiment 1, test scores on screen were lower than on paper under time pressure, with no difference under free regulation. In Experiment 2 the time condition was manipulated within participants to include time pressure, free regulation, and an interrupted condition where study was unexpectedly stopped after the time allotted under time pressure. No media effects were found under the interrupted study condition, although technology-related barriers should have taken their effect also in this condition. Paper learners who preferred this learning medium improved their scores when the time constraints were known in advance. No such adaptation was found on screen regardless of the medium preference. Beyond that, paper learning was more efficient and self-assessments of knowledge were better calibrated under most conditions. The results reinforce the inferiority of self-regulation of learning on screen and argue against technology-related factors as the main reason for this.