What drives ability peer effects?

The emergence of the smart campus approach for university campuses addresses the digital transformation needs of higher education institutions, driven by the increasing capability and popularity of digital technologies like artificial intelligence and the internet of things. While existing research has laid a foundation for conceptualizing smart campuses and developing implementation frameworks, a significant gap remains in understanding how to assess a university campus’s ‘smartness’ effectively. The lack of a robust assessment framework makes it challenging to gauge the effectiveness of smart campus initiatives and identify areas for improvement. This study aims to bridge this research gap by identifying key indicators for evaluating the ‘smartness’ of university campuses. Using a narrative literature review method, the study comprehensively reviews the recent literature on smart campuses, organizational management, and societal applications, focusing on identifying pertinent indicators. By incorporating insights from different domains, the study presents a holistic understanding of the indicators necessary for assessing the ‘smartness’ of university campuses through the proposed smart campus assessment framework. The framework and the insights generated inform researchers and decision-makers in assessing and monitoring the effectiveness of smart campuses.

Section: Smart Societymentioning

confidence: 99%

Unpacking Smart Campus Assessment: Developing a Framework via Narrative Literature Review

Polin,

Yigitcanlar,

Washington

et al. 2024

“…Theories that include social norms, limited information, and others are used to explain this phenomenon [31,32]. Imitation, information transfer, social interaction, and other factors play key roles in the process of the diffusion of behaviors or ideas, thereby deriving peer effects [33,34].…”

Section: Peer Effectsmentioning

confidence: 99%

Bridging the Digital Divide: Internet Use of Older People from the Perspective of Peer Effects

Shi,

Zhang,

Wang

2023

The use of the Internet by older adults will contribute to the sustainable development of society. Existing studies have extensively investigated the influencing factors that affect older people’s use of the Internet, but ignored the behaviors of the people around them. Using data from China Family Panel Studies, we investigated the influence of peer effects on the Internet use of older people. It was found that, the stronger that peer effects are, the higher the level of Internet use among older adults. This conclusion still holds after a robustness test. The peer effects are more obvious in rural areas, due to closer community interaction. In addition, this study proves that peer effects promote Internet use by increasing the perceived importance of the Internet through mediation tests. The findings highlight the positive effects of social interaction on the Internet among older people, which is conducive to the improvement of policy practice.

“…Peer effect is a phenomenon in which the decision-making behavior of an organization or individual changes in response to changes in peers' decision-making behaviors in a reference group, thus exhibiting a convergence in decision-making behavior [18]. In early literature research, peer effect has been widely used in sociology [19,20] and education [21,22]. For example, Foell, Pitzer, and Nebbitt et al (2021) have found that exposure to criminal peers and community violence has a negative impact on the mental health of adolescents [19].…”

Section: Introductionmentioning

confidence: 99%

“…Zwier, Geven, and Bol et al (2022) have found that under the influence of peer effect, primary school students are more likely to choose to enter the same secondary school as their peers [21]. Coveney and Oosterveen (2021) have shown, through a study of college freshmen, that peer-to-peer social activities could improve college students' grades and personal abilities [22].…”

Section: Introductionmentioning

confidence: 99%

Industry and Regional Peer Effects in Corporate Digital Transformation: The Moderating Effects of TMT Characteristics

Zhang

2023

Currently, the research on corporate digital transformation is mainly explored from the perspective of independent decision-making, but pays less attention to the interactive impact among peer firms. Taking the listed equipment manufacturing enterprises in China as its research sample, this paper uses theoretical analysis and empirical tests to test the impact of peer effect in corporate digital transformation and the moderating effect of top management team (TMT) characteristics. The results show that there are industry peer effects and regional peer effects in corporate digital transformation in which TMT characteristics play a moderating effect. Furthermore, the higher the proportion of females, the younger the average age, the higher the average education, and the longer the average tenure in TMT, the more significant the positive impact of industry peer effect and regional peer effect in corporate digital transformation. The above conclusions remain valid when using change variables, Tobit tests, lag period tests, and IV methods for robustness tests. Further analysis of the results shows that there is a non-linear impact between digital transformation and green technological innovation, and there are multiple mediating effects among industry and regional peer effects, digital transformation, R&D, and green technological innovation. In addition, it is necessary to further examine the social network peer effect in corporate digital transformation as well as the mechanism and economic consequences of peer effect in the future. These findings contribute to a more comprehensive understanding of the driving factors that affect the digital transformation of equipment manufacturing enterprises in China and provide new evidence and theoretical contributions for enterprises to enhance the efficiency of digital transformation and strengthen the construction of a TMT.