Inhibitors of value co-creation in the humanitarian aid context for assistive technology users
| Registration units | Context units |
|---|---|
| Organisational inefficiency | A7: High staff turnover in humanitarian organisations |
| A10: Differing goals, motivations and interests among NGO and business stakeholders; ineffective partner communication | |
| A13: Impacts of unclear regulatory guidelines | |
| A30: Lack of coordination among humanitarian operation actors | |
| A39: Lack of transparency in humanitarian logistics | |
| A50: Unclear regulations regarding assistive devices | |
| A51: Resistance to adopting new technologies or methods | |
| A60: African underrepresentation limits adaptation of health strategies to local realities | |
| A62: Challenges posed by bureaucratic barriers | |
| Resource limitation | A12: High cost and production delays for assistive products |
| A35: Challenging to obtain high-quality data for AI model training | |
| A38: Limited economic incentives | |
| A45: Need for training teachers and caregivers in personalised application | |
| A50: Limited availability of material and human resources | |
| A51: Project inability because of financial restrictions | |
| A54: Rigidity in organisational structures | |
| A56: Inadequate equipment limits innovation in assistive devices | |
| A59: Financial limitations in AT | |
| Insufficiency of research and technical knowledge | A6: Limited exchange of ideas between themes and approaches |
| A17: Challenges because of a lack of detailed technical information | |
| A21: Complexity in operating AT | |
| A22: Restricted access to scientific literature | |
| A25: Challenges arising from insufficient technological advancements in research | |
| A27: User resistance to new tools/methods because of lack of instruction and training | |
| A37: Research expenditures biased toward basic and clinical research | |
| A49: Scarcity of research on practical Primary Health Care (PHC) disaster preparedness | |
| A50: Lack of formal training in 3D printing | |
| A57: Lack of recognition of family dynamics and collective needs | |
| Infrastructure challenges | A4: Dependence on network infrastructure and connectivity |
| A5: Technology limitations because of cost | |
| A6: Challenges in quality, capacity and delivery times | |
| A15: Small and medium-sized enterprises (SMEs) lack structure and knowledge despite their willingness to help | |
| A32: Problems with audio quality and connection difficulties | |
| A38: Difficulty in considering multiple perspectives | |
| A40: High costs of satellite data | |
| A47: Information Technology (IT) infrastructure failure during disasters | |
| A79: Competition for limited resources | |
| A83: Lack of on-the-ground training and localised resources hinders local capacity development/sustenance | |
| A84: Absence of strong institutional structures | |
| Sociocultural factors | A1: Collaboration challenges because of communication issues |
| A53: Misinformation and rumours | |
| A54: Power inequalities and social exclusion | |
| A61: Sociocultural norms hinder the participation of certain groups | |
| A87: Beliefs that care should be performed manually | |
| Technological or research limitations | A4: Challenges in storing and transmitting sensitive health data |
| A9: Few projects are validated by people with disabilities | |
| A13: Concerns regarding data privacy and security | |
| A18: Conflicting expert opinions can lead to inconsistent results | |
| A34: Weak, ambiguous relationship between aid flows and indicator performance | |
| A40: Unstable scientific education policies and uncoordinated national/regional scientific activities | |
| A42: Complex technologies | |
| A44: Lack of incentives for developing/testing new technologies in low-income environments | |
| A45: Wireless data transfer and health data security challenges | |
| A46: Concerns about privacy, security and data bias | |
| A56: End-user acceptance of new technologies | |
| A71: Privacy intrusion | |
| A78: Ethical and legal concerns in collecting and using personal information | |
| A88: Ethical issues, including algorithmic bias and privacy concerns | |
| Limited end-user participation | A11: Resistance to stakeholder integration |
| A19: Complex solution development and testing processes | |
| A23: Technical problems hindering system setup and use by non-specialised caregivers | |
| A33: Late integration of users into the design process | |
| A41: Assistive devices solely focused on technology and treatment | |
| A61: Difficulties including diverse affected subgroups in accountability practices | |
| A64: Complexity of design software and 3D printer operation | |
| A81: Importance of including more end-users in evaluation tools |
| Registration units | Context units |
|---|---|
| A7: High staff turnover in humanitarian organisations | |
| A10: Differing goals, motivations and interests among | |
| A13: Impacts of unclear regulatory guidelines | |
| A30: Lack of coordination among humanitarian operation actors | |
| A39: Lack of transparency in humanitarian logistics | |
| A50: Unclear regulations regarding assistive devices | |
| A51: Resistance to adopting new technologies or methods | |
| A60: African underrepresentation limits adaptation of health strategies to local realities | |
| A62: Challenges posed by bureaucratic barriers | |
| A12: High cost and production delays for assistive products | |
| A35: Challenging to obtain high-quality data for | |
| A38: Limited economic incentives | |
| A45: Need for training teachers and caregivers in personalised application | |
| A50: Limited availability of material and human resources | |
| A51: Project inability because of financial restrictions | |
| A54: Rigidity in organisational structures | |
| A56: Inadequate equipment limits innovation in assistive devices | |
| A59: Financial limitations in | |
| A6: Limited exchange of ideas between themes and approaches | |
| A17: Challenges because of a lack of detailed technical information | |
| A21: Complexity in operating | |
| A22: Restricted access to scientific literature | |
| A25: Challenges arising from insufficient technological advancements in research | |
| A27: User resistance to new tools/methods because of lack of instruction and training | |
| A37: Research expenditures biased toward basic and clinical research | |
| A49: Scarcity of research on practical Primary Health Care ( | |
| A50: Lack of formal training in 3D printing | |
| A57: Lack of recognition of family dynamics and collective needs | |
| A4: Dependence on network infrastructure and connectivity | |
| A5: Technology limitations because of cost | |
| A6: Challenges in quality, capacity and delivery times | |
| A15: Small and medium-sized enterprises (SMEs) lack structure and knowledge despite their willingness to help | |
| A32: Problems with audio quality and connection difficulties | |
| A38: Difficulty in considering multiple perspectives | |
| A40: High costs of satellite data | |
| A47: Information Technology ( | |
| A79: Competition for limited resources | |
| A83: Lack of on-the-ground training and localised resources hinders local capacity development/sustenance | |
| A84: Absence of strong institutional structures | |
| A1: Collaboration challenges because of communication issues | |
| A53: Misinformation and rumours | |
| A54: Power inequalities and social exclusion | |
| A61: Sociocultural norms hinder the participation of certain groups | |
| A87: Beliefs that care should be performed manually | |
| A4: Challenges in storing and transmitting sensitive health data | |
| A9: Few projects are validated by people with disabilities | |
| A13: Concerns regarding data privacy and security | |
| A18: Conflicting expert opinions can lead to inconsistent results | |
| A34: Weak, ambiguous relationship between aid flows and indicator performance | |
| A40: Unstable scientific education policies and uncoordinated national/regional scientific activities | |
| A42: Complex technologies | |
| A44: Lack of incentives for developing/testing new technologies in low-income environments | |
| A45: Wireless data transfer and health data security challenges | |
| A46: Concerns about privacy, security and data bias | |
| A56: End-user acceptance of new technologies | |
| A71: Privacy intrusion | |
| A78: Ethical and legal concerns in collecting and using personal information | |
| A88: Ethical issues, including algorithmic bias and privacy concerns | |
| A11: Resistance to stakeholder integration | |
| A19: Complex solution development and testing processes | |
| A23: Technical problems hindering system setup and use by non-specialised caregivers | |
| A33: Late integration of users into the design process | |
| A41: Assistive devices solely focused on technology and treatment | |
| A61: Difficulties including diverse affected subgroups in accountability practices | |
| A64: Complexity of design software and 3D printer operation | |
| A81: Importance of including more end-users in evaluation tools |
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