Serving Seniors: Innovation and Public Sector Service Delivery
Notice bibliographique
Résumé
ABSTRACTPublic administration scholars have contributed little to the explosion of research on aging in Canada by examining the implications of population aging for public organizations in general and government service delivery in particular. Studies dealing with the impact of innovations in information technology (IT) on services to seniors are especially rare. This paper aims to help remedy this deficiency by examining government service delivery to seniors, with primary attention to the impact of current and anticipated advances in IT. Public administration scholars can learn a great deal from other academic disciplines about government service delivery to seniors. What is missing is research that sets aging within the specific theoretical, conceptual and practical concerns of the field of public administration, contributes to cross-disciplinary work in gerontology and informs the policy and program decisions of governments.Key Words: aging, information technology, public sector, service delivery, innovationIntroductionThere is increasing recognition of the importance of technological innovation for meeting the needs of Canada's aging population. For example, AGE-WELL, a research network established in 2015 within the federal government's Networks Centres of Excellence (Canada, 2015) involves universities, in partnership with industry and the not-for-profit sector, designing and implementing technology to improve the well-being of Canada's seniors. This paper focuses on government service delivery to seniors, with primary attention to the impact of current and emerging advances in IT. It also notes the scarcity of scholarly research on aging in the field of public administration.Since the mid-1980s, there has been a gradual shift of emphasis in Canada's public sector organizations from serving the internal needs of governments to serving the needs of citizens. This heightened emphasis citizen-centred service has been accompanied by a substantial increase in scholarly writings on government service delivery (e.g. Kernaghan, 2005, 2009; Marson and Heintzman, 2009; Dutil et al., 2010). The shift towards citizen-centred service has been enabled in large part by innovations in information technology (IT) that have fostered improvements and cost savings in the delivery of government programs.Also since the mid-1980s, there has been nothing short of an explosion of research in aging and gerontology in Canada and beyond (McDaniel and Rozanova, 2011: 516). However, the academic field of public administration in Canada has contributed little to this explosion. Few Canadian scholars in this field have examined the implications of Canada's aging population for public organizations in general or government service delivery in particular. Studies dealing with the impact of IT on senior citizen-centred service are especially rare.Despite the dearth of public administration research on aging, substantial spill over learning for public administration can be gleaned from studies in other fields (e.g. economics, sociology, gerontology, health care). There is an especially large volume of literature on aging and health services in Canada. For example, Chappell and Hollander's Aging in Canada (2013) focuses on health and home care for the elderly, including integrated care. In respect of writings on aging and technology, Sixsmith and Gutman's Technologies for Active Aging (2013) examines the impact of information and communication technologies on the lives of older adults. As early as 1998, Gutman recognized the importance of new technologies to the well being of seniors with her edited volume on Technology Innovation for an Aging Society.There has been much debate about the likely extent and impact of population aging in Canada and elsewhere. Popular literature and the news media frequently use such terms as demographic time bomb and silver tsunami to describe population aging's probable effects. …
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,004 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».