Measuring the Reputation of Top US Business Schools: A MIMIC Modeling Approach

Safón, Vicente

doi:10.1057/crr.2009.19

Cited by 47 publications

(63 citation statements)

References 75 publications

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“…External images are influenced by publicity and word of mouth, related images, previous experience and support by retailers. Rindova et al, 2005), Einwill et al (2010) and Safon (2009) built more complex models at the macro level. A model built with a research question similar to that used in this study, though applied to a different sector, is found in Safon (2009).…”

Section: Literature On Reputation Building Processesmentioning

confidence: 99%

“…Rindova et al, 2005), Einwill et al (2010) and Safon (2009) built more complex models at the macro level. A model built with a research question similar to that used in this study, though applied to a different sector, is found in Safon (2009). He studied the influences on reputation of the top business schools in the US.…”

Section: Literature On Reputation Building Processesmentioning

confidence: 99%

“…These relationships will then be tested replicating the procedure in Safon (2009), which allows for structural equation modeling of reputation influences at the macro level. In this approach, reputation is a latent variable measured through different stakeholder evaluations.…”

Section: Macro-level Modelmentioning

confidence: 99%

“…The observable variables may appear as effects (known as reflective indicators) of the latent variables, as causes of the latent variables (known as formative indicators), or as both effects and causes (Safon, 2009, quoting Jöreskog andGoldberger, 1975, pag. 631; text in italics added by Safon, 2009). The model will be modified according to our understanding of the relevant macro-level predictors (formative indicators) and relevant stakeholders, and using data collected during the content analysis and the stakeholders' survey.…”

Section: Macro-level Modelmentioning

confidence: 99%

“…al, 1997;Weaver et al, 2004). Este enfoque es también consistente con las prác-ticas de investigación en el área de manejo de la reputación y relaciones públicas (Carroll and McCombs, 2003;Fombrun and Van Riel, 2003;Downing, 2001;Safon, 2009;Einwiller et al, 2010).…”

Section: Introductionunclassified

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Social media impact on corporate reputation: Proposing a new methodological approach

Mandelli

Cantoni

2010

Cuadernos.info

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The aim of this paper is to propose a new theoretical and methodological approach to the study of how social media conversations influence corporate reputation, beyond the current practices based on social media monitoring. The approach proposes to build a multi-level model of the relationship between online communication and corporate reputation, in line with the research tradition on media effects developed within the agenda-setting theoretical perspective when applied to the study of complex social and cultural phenomena (McCombs et al., 1997;Weaver et al., 2004). This approach is also consistent with research practices in the field of reputation management and public relations

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Section: Literature On Reputation Building Processesmentioning

confidence: 99%

Section: Literature On Reputation Building Processesmentioning

confidence: 99%

Section: Macro-level Modelmentioning

confidence: 99%

Section: Macro-level Modelmentioning

confidence: 99%

Section: Introductionunclassified

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Social media impact on corporate reputation: Proposing a new methodological approach

Mandelli

Cantoni

2010

Cuadernos.info

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How Variances in Business School Rankings Affect Enrollment Trends and Practices

Veyga

Guillermo²

2016

Strategic Enrollment Mgmt Quarterly

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This study examined the effect that variances in the U.S. News & World Report rankings have on enrollment trends and practices in both top and non‐top 25 business schools. The purpose of this study was to determine whether mobility in the rankings was met with a statistically significant response to the research questions presented. While this was not the first study to look at business school rankings and their effect on enrollment trends, it was the first one to look at recent data associated with this phenomenon, as well as, the first study to utilize panel data in order to determine the answer to its research questions. The four research questions put forth dealt with enrollment numbers, student quality, acceptance rates, and peer assessment scores. The study determined that the research questions are not statistically significant across the board and that one group is more sensitive than the other to variation in the rankings. Possible practical implications for these findings and further research are discussed, as well as, the limitations of the study.

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