Emerging Technology Intervention Model of Core Support for Inclusive Rural Growth: Social–Economic–Ecological Interface Building Through Innovative Scalable Solutions and Effective Delivery Mechanism

2020 ◽  
pp. 459-482
Author(s):  
Sunil K. Agarwal
Keyword(s):  
Social Economic ◽  
Emerging Technology ◽  
Intervention Model ◽  
Technology Intervention ◽  
Effective Delivery ◽  
Delivery Mechanism ◽  
Ecological Interface ◽  
Rural Growth

A Proposed Quantification of Performance of Rural Development Agencies

2020 ◽  
pp. 147-172
Keyword(s):  
Economic Development ◽  
Rural Development ◽  
Rural Population ◽  
Growth And Development ◽  
Social Economic ◽  
Financial Innovation ◽  
Development Agencies ◽  
Rural Growth ◽  
Economic Developments ◽  
Social Economic Development

In Chapter 5, the author goes further to propose a more concrete development of some new notions that may be suitable to contemporary economic developments acknowledging the significance of dissemination and particularly quantification of financial innovation in fostering rural growth and development. If a reader realizes that it doesn't all boil down to finance, then an entirely different sort of basic connection of management elements is possible, from which our ordinary concepts of social-economic development are approached in a much deeper system. In Chapter 5, the concept of financial innovation is introduced in a general way but also with specific examples discussed mathematically and qualitatively. In addition to the measurement of growth of rural population and entrepreneurship, the chapter has also presented the author's developed indices for quantification of performance coupled with measurement of financial innovation.

scholarly journals Closing the Capacity-Ability Gap: Using Technology to Support Aging With Disability

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Tracy L Mitzner ◽  
Jon A Sanford ◽  
Wendy A Rogers
Keyword(s):  
Great Promise ◽  
User Requirements ◽  
Intervention Model ◽  
Current State ◽  
Age Related ◽  
Wide Range ◽  
Technology Intervention ◽  
Bridge Models ◽  
Age Related Changes

Abstract There is a critical need to develop supports for older adults who have a wide range of abilities, including those aging with long-term impairments. Without appropriate support, many individuals will be functioning below optimal levels and will face participation barriers. Technology holds great promise to provide individualized support for a wide range of abilities and for a variety of domains. To ensure technology interventions are designed well and meet research-documented user requirements, we need more specific, actionable models to provide guidance for those developing and designing interventions. In this paper, we present the TechSAge Aging and Disability Model to bridge models from the aging and disability literatures and to disambiguate the population of individuals aging into disability from those aging with disability (i.e., pre-existing impairments). We also present the TechSAge Technology Intervention Model to support aging with pre-existing impairments, which provides direction and touch points for technology interventions. These models reflect the complex and dynamic interaction between age-related changes and an individual’s prior capabilities and limitations. We describe the need for these models with respect to filling a gap in the disability and aging literature by highlighting the importance of differentiating between age-related changes and long-term impairments when designing interventions. We also show the need for quantitative and qualitative data to refine the models given complexities of the current state of the literature and survey data. The TechSAge Technology Intervention Model can be used to drive and inform technology redesign and development.

Subcutaneous Testosterone: An Effective Delivery Mechanism for Masculinizing Young Transgender Men

LGBT Health ◽  
2014 ◽  
Vol 1 (3) ◽  
pp. 165-167 ◽  
Author(s):  
Johanna Olson ◽  
Sheree M. Schrager ◽  
Leslie F. Clark ◽  
Shannon L. Dunlap ◽  
Marvin Belzer
Keyword(s):  
Effective Delivery ◽  
Delivery Mechanism ◽  
Transgender Men

scholarly journals The TechSAge technology intervention model for aging with or into disability

2018 ◽  
Vol 17 (s) ◽  
pp. 40-40
Author(s):  
J.A. SANFORD ◽  
T.L. MITZNER ◽  
W.A. ROGERS
Keyword(s):  
Intervention Model ◽  
Technology Intervention

scholarly journals Delivery Mechanisms and Microenterprises Performance: An Analysis of Microcredit Program

2021 ◽  
Vol 5 (3) ◽  
pp. 338-349
Author(s):  
Rosman Mahmood ◽  
Ahmad Suffian Mohd Zahari
Keyword(s):  
Resource Management ◽  
Business Performance ◽  
Critical Issue ◽  
T Test ◽  
Primary Data ◽  
Test Analysis ◽  
Significant Difference ◽  
Effective Delivery ◽  
Delivery Mechanism ◽  
Micro Enterprises

Purpose: The process of identifying and defining effective delivery mechanisms is a critical issue in the management of microcredit programs to meet the firm's objectives and the customers’ needs. The purpose of this paper is to look at the relative importance of delivery mechanism in microcredit programs. In addition, this paper analyses the relationship between delivery mechanism and business performance among micro enterprises involved in microcredit programs. Methodology: The primary data of the study were obtained from 756 micro entrepreneurs under two major microcredit programs (AIM and TEKUN). Descriptive and t-test analysis were used to explain the findings of the study. Findings: Analysis of the study shows that cooperation from staff, the duration and method of loan repayment and monitoring of loan capital are important mechanism in the management of microcredit programs. T-test analysis revealed a significant difference in delivery mechanism between the two microcredit programs involved. Empirical findings show that the performance of micro enterprises under the AIM microcredit program is better than that of micro enterprises under the TEKUN microcredit program. Practical Implications: The performance of a microcredit program depends largely on their resource management. This involves operational efficiency, credit products offered, and customer support services. These three elements are critical factors in determining the effectiveness of the delivery mechanism in a microcredit program. Originality/value:The efficiency of delivery mechanisms through strategic resource management not only can enhance the competitive advantage of the AIM microcredit program but also affect the performance of the micro enterprises involved. Doi: 10.28991/esj-2021-01281 Full Text: PDF

Promoting the Community's Ability to Detect and Respond to Suicide Risk Through an Online Bystander Intervention Model-Informed Tool

Crisis ◽  
2020 ◽  
pp. 1-7
Author(s):  
Karien Hill ◽  
Shawn Somerset ◽  
Ralf Schwarzer ◽  
Carina Chan
Keyword(s):  
Suicide Prevention ◽  
Suicide Risk ◽  
Controlled Trial ◽  
Intervention Group ◽  
Bystander Intervention ◽  
Self Report ◽  
Innovative Technology ◽  
Control Group ◽  
Intervention Model ◽  
Standard Material

Abstract. Background: The public health sector has advocated for more innovative, technology-based, suicide prevention education for the community, to improve their ability to detect and respond to suicide risk. Emerging evidence suggests addressing the bystander effect through the Bystander Intervention Model (BIM) in education material may have potential for suicide prevention. Aims: The current study aimed to assess whether BIM-informed tools can lead to improved readiness, confidence and intent in the community to detect and respond to suicide risk in others. Method: A sample of 281 adults recruited from the community participated in a randomized controlled trial comprising a factsheet designed according to the BIM (intervention group) and a standard factsheet about suicide and mental health (control group). Participants' self-reported detecting and responding to suicide risk readiness, confidence, and intent when presented with a suicidal peer was tested pre- and postintervention and compared across time and between groups. Results: The intervention group had significantly higher levels of detecting and responding to suicide risk readiness, confidence, and intent than the control group at postintervention (all p < .001) with moderate-to-large effect sizes. Limitations: The study was limited by a homogenous sample, too low numbers at follow-up to report, and self-report data only. Conclusion: This study demonstrates BIM-informed suicide prevention training may enhance the community's intervention readiness, confidence, and intent better than current standard material. Further testing in this area is recommended. While results were statistically significant, clinical significance requires further exploration.

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