Work-related basic need satisfaction as a predictor of work engagement among academic staff in Turkey

Silman, Fatoş

doi:10.15700/201409161119

Cited by 24 publications

(38 citation statements)

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“…for example: [Hermanowicz, 2006]), etc. The factors stimulating immersion in work and the productivity of researchers include not only the availability of resources and infrastructure [Hesli, Lee, 2011], but also the equal distribution of resources and infrastructure, including opportunities for independent work [Silman, 2014] and various forms of cooperation [Lee, Bozeman, 2005;Carayol, Matt, 2006]. These are the conditions on which job satisfaction and ultimately the performance of academics depend.…”

Section: Criteria To Evaluate Researcher Productivitymentioning

confidence: 99%

Determinants of Research Productivity: An Individual-level Lens

Fursov

Roschina

Balmush

2016

Foresight and STI Governance

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T he continuous growth of investment in R&D inRussia and the world increases the demand for optimal allocation of public funds to support the most productive scientific performers. These are, however, hard to conceptualize and measure. First, we need to consider the nature of research activity itself and, second, we need to evaluate a number of factors that influence such activities at the national, institutional and individual levels. One of the key issues is motivation of academic personnel, who are considered the main producers of new knowledge. Therefore, it is necessary to analyse the employment characteristics of researchers, and develop adequate mechanisms to facilitate their scientific productivity.This paper aims to examine determinants of publication activity among doctorate holders employed in the academic sector in Russia. Data for the analysis was derived from a survey on the labour market for highly qualified R&D personnel conducted in 2010 by the HSE, within the framework of the OECD / UNESCO Institute for Statistics / Eurostat international project on Careers of Doctorate Holders (CDH). With the use of regression analysis, Keywords: performance-based payment; bibliometric indicators; Russian scholars; the productivity of science; human capital; scientific publications we assess the effects of scientific capital, international cooperation, employment, and socio-demographic characteristics of researchers on their productivity, which is measured through their total publication output as well as through the number of papers in peer-reviewed academic journals.The differences between factors were assessed for two generations of researchers -those under 40 years old, and above. It was shown that the quality of scientific capital, measured through diversity of research experience, has a stronger impact on research productivity, rather than the age or other socio-demographic characteristics of doctorate holders. It was also demonstrated that direct economic stimuli and actual research productivity of researchers are weakly correlated. Consequently, we identified that a potentially winning strategy for universities and research institutions that want to improve their performance indicators would be to provide younger scholars with wider opportunities for professional growth, including intense global cooperation in the professional community.

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Section: Criteria To Evaluate Researcher Productivitymentioning

confidence: 99%

Determinants of Research Productivity: An Individual-level Lens

Fursov

Roschina

Balmush

2016

Foresight and STI Governance

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“…The net result of these changes suggests that higher education is changing in ways that is potentially producing a more stressful work environments (Shah, ). This stress level is leading to concerns about the relevance and influence on employee engagement in a higher education context as well as the impact of engagement on the overall health and well‐being of university employees (Silman, ; Van den Berg, Bakker, & Ten Cate, ).…”

Section: Contextual Backgroundmentioning

confidence: 99%

Happiness and healthiness: A replication study

Osam

Shuck

Immekus

2019

Human Resource Dev Quarterly

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Research coalescing around psychological climate, engagement, and well‐being has been receiving considerable attention in management and human resource development (HRD) literature. However, research associated with these variables has generally been limited to for‐profit businesses and organizations with little attention within the context of institutions of higher education. In response, this cross‐sectional replication study examined the extent to which psychological climate, engagement, and well‐being were associated with each other in higher educational institutions. Study data included a sample of 259 individuals employed by institutions of higher education in the United States. Using mediation analyses, the study found that psychological climate, engagement, and well‐being were positively associated with each other, and that engagement mediated the relationship between psychological climate and well‐being. Implications for HRD theory and research, as well as specific recommendations for leaders and administrators in higher education are discussed.

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“…Whereas Sheldon and Filka (2008) have reported low inter-dimensional correlations between .22 and .33, Brien et al (2012) reported moderate inter-factor correlation of between .40 and .47. Silman (2014) however found a wide range of between .28 and .64. In all, findings of the present study corroborate those of previous studies in the nature of inter-relationship among the factors of basic psychological needs.…”

mentioning

confidence: 91%