2019
DOI: 10.1002/pa.1918
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Who to blame: An inquiry into universal factors accounting for output variations in public–private partnership initiatives across geographical locations. Who to be blamed for not meeting performance, innovativeness, and quality outputs?

Abstract: With the current controversy and blame game on output of public-private partnership (PPP) initiatives concerns, we investigate why there may be variations in achieving innovativeness, perceived quality, and performance of PPP initiatives across different geographical locations. For instance, we investigate a scenario where "a private company involved in waste management will perform in country 'A' but fails to perform in country 'B' given the same assignment and target." We empirically sampled and make conclus… Show more

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Cited by 3 publications
(2 citation statements)
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“…First, as part of a national policy geared towards increasing economic growth and opening up the social system, China has begun awarding various scholarships to students from all walks of life (Tetteh, Teye, & Abosi, 2019). Within the broader scheme of China's national policy, the scholarship scheme is targeted at providing various forms of academic scholarships to about 500,000 students by the year 2020 (Ding, 2016).…”
Section: Research Methods and Data Collectionmentioning
confidence: 99%
“…First, as part of a national policy geared towards increasing economic growth and opening up the social system, China has begun awarding various scholarships to students from all walks of life (Tetteh, Teye, & Abosi, 2019). Within the broader scheme of China's national policy, the scholarship scheme is targeted at providing various forms of academic scholarships to about 500,000 students by the year 2020 (Ding, 2016).…”
Section: Research Methods and Data Collectionmentioning
confidence: 99%
“…The invariance test was also conducted to examine the metric and configural invariance for our multigroup (Gender) CFA. Configural invariance test revealed that all the values (CMIN/DF, GFI, PGFI, CFI, RMSEA) were above the minimum prescribed limits (Hair et al, 2010; Shah, Khan, Khan, Khan, & Xuehe, 2020; Tetteh, Teye, Abosi, & Chong, 2019) (See Tables 2 and 3). The metric invariance test examines if the scale items are the same across different gender categories.…”
Section: Discussionmentioning
confidence: 98%