Educational outsourcing in public schools: decision-making mechanisms and perceived teaching quality
Educational outsourcing in public schools: decision-making mechanisms and perceived teaching quality
Purpose: across education systems worldwide, public schools are increasingly turning to educational outsourcing (EO) to deliver standard curriculum, yet evidence of its effectiveness remains mixed. This study aims to model the antecedents and underlying mechanisms shaping stakeholders’ perceptions of the teaching quality of outsourced programs (OPs).
Design/methodology/approach: the authors surveyed 224 school leaders and teachers from 18% of all publicly funded Hong Kong secondary schools (n = 67) about their EO practices. Specifically, they examined decision-making across the partnership cycle from the identification of providers to postservice evaluation of the OPs via multilevel ordered Logit analysis.
Findings: staff responsible for overseeing or administering OPs rated them as less effective than vice-principals. OPs were rated lower when purchasing decisions relied primarily on subjective inputs (e.g. colleague opinions) rather than objective evidence (e.g. student learning outcomes). Staff who collaborated directly with OP providers also gave lower ratings, as did postservice evaluations that incorporated teacher feedback. Conversely, staff rated OPs more favorably when they aligned with budget plans. Vice-principals who viewed OP rules as helpful were more likely to report OPs that met budget expectations, which in turn was associated with higher ratings. Overall, OPs that remained within budget and incorporated teacher feedback received higher evaluations.
Originality/value: unlike prior studies that focus on isolated correlates of OP quality, this study explicates the underlying mechanisms and interactions among key factors, offering a more nuanced and integrated understanding of EO quality.
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Choi, Taehee
3cec7c93-92cd-4329-b0a7-3b208c65dcb7
Chiu, Ming Ming
35ec004b-0047-4c6e-8ce2-ebbf1428aa8f
Zhang, Qin
30e6a53c-3302-4aac-ae77-42c8b8d8e4f1
Choi, Taehee
3cec7c93-92cd-4329-b0a7-3b208c65dcb7
Chiu, Ming Ming
35ec004b-0047-4c6e-8ce2-ebbf1428aa8f
Zhang, Qin
30e6a53c-3302-4aac-ae77-42c8b8d8e4f1
Choi, Taehee, Chiu, Ming Ming and Zhang, Qin
(2026)
Educational outsourcing in public schools: decision-making mechanisms and perceived teaching quality.
Quality Assurance in Education, .
(doi:10.1108/QAE-11-2024-0231).
Abstract
Purpose: across education systems worldwide, public schools are increasingly turning to educational outsourcing (EO) to deliver standard curriculum, yet evidence of its effectiveness remains mixed. This study aims to model the antecedents and underlying mechanisms shaping stakeholders’ perceptions of the teaching quality of outsourced programs (OPs).
Design/methodology/approach: the authors surveyed 224 school leaders and teachers from 18% of all publicly funded Hong Kong secondary schools (n = 67) about their EO practices. Specifically, they examined decision-making across the partnership cycle from the identification of providers to postservice evaluation of the OPs via multilevel ordered Logit analysis.
Findings: staff responsible for overseeing or administering OPs rated them as less effective than vice-principals. OPs were rated lower when purchasing decisions relied primarily on subjective inputs (e.g. colleague opinions) rather than objective evidence (e.g. student learning outcomes). Staff who collaborated directly with OP providers also gave lower ratings, as did postservice evaluations that incorporated teacher feedback. Conversely, staff rated OPs more favorably when they aligned with budget plans. Vice-principals who viewed OP rules as helpful were more likely to report OPs that met budget expectations, which in turn was associated with higher ratings. Overall, OPs that remained within budget and incorporated teacher feedback received higher evaluations.
Originality/value: unlike prior studies that focus on isolated correlates of OP quality, this study explicates the underlying mechanisms and interactions among key factors, offering a more nuanced and integrated understanding of EO quality.
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Accepted/In Press date: 22 January 2026
e-pub ahead of print date: 3 March 2026
Identifiers
Local EPrints ID: 511116
URI: http://eprints.soton.ac.uk/id/eprint/511116
ISSN: 0968-4883
PURE UUID: fac753a4-fcf2-436f-b04a-a410525d61cf
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Date deposited: 05 May 2026 16:35
Last modified: 06 May 2026 02:05
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Contributors
Author:
Taehee Choi
Author:
Ming Ming Chiu
Author:
Qin Zhang
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