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1 – 2 of 2Lili Li, Yue Ma, Dimitris Friesen, Zhonggen Zhang, Songqing Jin and Scott Rozelle
Internet use has become particularly prevalent among adolescents, prompting much thought and concern about both its potential benefits and adverse effects on adolescent learning…
Abstract
Purpose
Internet use has become particularly prevalent among adolescents, prompting much thought and concern about both its potential benefits and adverse effects on adolescent learning outcomes. Much of the empirical literature on the impact of Internet use on adolescent learning outcomes is mixed, and few studies examine the causal relationship between the two in rural China. In order to bridge these gaps, we use empirical analysis to investigate the effect of Internet use on the learning outcomes of adolescents in rural China.
Design/methodology/approach
We use fixed effect models with samples drawn from a large nationally representative dataset (the China Family Panel Studies—CFPS) to identify the causal impacts of Internet use on the learning outcomes of three cohorts (Cohort A (N = 540), Cohort B (N = 287) and Cohort C (N = 827)) of adolescents in rural China.
Findings
The results of the descriptive analysis show a continued increase in the number of adolescents accessing the Internet and the amount of time they spend online. The results of the fixed effect models show that Internet use has positive (in many of the analyses), but mostly insignificant impacts, on the learning outcomes of adolescents. In the sets of results that find significant associations between Internet use and learning outcomes, the measured effects are moderate.
Originality/value
This study investigates the causal relationship between Internet use and adolescent learning outcomes in rural China. The findings claim that there is not a great need to worry about adverse effects of Internet use on adolescent learning development. Attention, however, should focus on seeking ways to improve the positive effects of the Internet use on adolescent learning outcomes. The study will provide a reference and experience for the development of education and the Internet in rural areas and promote the integrated development of urban and rural areas in China.
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Helen Salavou and Dimitris Manolopoulos
The purpose of this paper is to shift the idea of competitive strategy from the for-profit to the non-profit context and to explain how social enterprises (SEs) get advantages…
Abstract
Purpose
The purpose of this paper is to shift the idea of competitive strategy from the for-profit to the non-profit context and to explain how social enterprises (SEs) get advantages over competitors within and outside the social sector.
Design/methodology/approach
Based upon a sample of 63 SEs located in Greece, the exploratory research employs factor analysis to answer which strategic options they have to compete. Subsequent analysis of variance and correlation analysis were performed to answer if competitive strategic options relate to impact SEs generate.
Findings
The empirical findings identify and empirically validate a variety of strategic options based on four pure (low cost, low cost sustainability, low cost focus and differentiation focus) and one hybrid (efficient differentiation) types of competitive advantage. Additional evidence shows that hybrid compared to pure strategic options link more influentially to impact in terms of positive environmental, social and economic contributions.
Research limitations/implications
Apart from providing some explanations of how mission-driven businesses compete, it helps widening the debate of pure vs hybrid strategies beyond the commercial sector. Contrary to what the authors already know, the evidence presented here shows that strategic purity and hybridization co-exist in the social sector.
Originality/value
This is the first study with empirical evidence on competitive strategies from businesses in the third sector emphasizing how SEs ensure competitive advantage along with impact potential. Consequently, the authors respond to recent calls for more survey-based, quantitative evidence in the social entrepreneurship field.
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