Self-Reports in Organizational Research: Problems and Prospects

Podsakoff, Philip M.; Organ, Dennis W.

doi:10.1177/014920638601200408

Cited by 13,356 publications

(9,466 citation statements)

References 33 publications

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“…Second, there was a reliance on self-report data. Although selfreport measures provide a reasonable indication of people's behaviour (Podsakoff & Organ, 1986), it has been found that people over or under-estimate their level of mobile phone use when compared to their actual calling records (Cohen & Lemish, 2003). Additionally, the illegal nature of hand-held mobile phone use in Australia may have impacted on the accuracy of self-reporting by people who engage in this behaviour.…”

Section: Strengths and Limitations Of The Researchmentioning

confidence: 99%

Dialling and driving: Factors influencing intentions to use a mobile phone while driving

Walsh

White

Hyde

et al. 2008

Accident Analysis & Prevention

218

112

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Despite being identified as an unsafe (and, in some jurisdictions, illegal) driving practice, the psychological factors underlying people's decision to use their mobile phone while driving have received little attention. The present study utilised the theory of planned behaviour (TPB) to examine the role of attitudes, norms, control factors, and risk perceptions, in predicting people's intentions to use their mobile phone while driving. We examined the predictors of intentions to use a mobile phone while driving in general, and for calling and text messaging in 4 scenarios differing in descriptions of vehicle speed and time pressure. There was some support for the TPB given that attitudes consistently predicted intentions to drive while using a mobile phone and that pressure from significant others (norms) determined some phone use while driving intentions, although less support was found for the role of perceptions of control. Risk was not generally predictive of safer driving intentions. These findings indicate that different factors influence each form of mobile phone use while driving and, hence, a multi-strategy approach is likely to be required to address the issue. Abstract: 180Word Count: 5702

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Section: Strengths and Limitations Of The Researchmentioning

confidence: 99%

Dialling and driving: Factors influencing intentions to use a mobile phone while driving

Walsh

White

Hyde

et al. 2008

Accident Analysis & Prevention

218

112

View full text Add to dashboard Cite

show abstract

“…We found multiple factors and that the first factor did not account for the majority of the variance (the first factor accounted for only 3% of the variance). This suggests that the problems associated with common method bias do not appear to be present in our study (Podsakoff and Organ 1986). …”

Section: Appendix the Uk Innovation Surveymentioning

confidence: 60%

The elixir (or burden) of youth? Exploring differences in innovation between start-ups and established firms

2012

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“…Porém, embora surveys possibilitem correlacionar os construtos mensurados, também, apresentam limitações quanto à possibilidade de inferência causal, visto que não permitem excluir a existência de problemas de endogeneidade causados por razões como variáveis omitidas (Antonakis, Bendahan, Jacquart, & Lalive, 2010) ou variância comum ao método (common method variance) (Podsakoff, Mackenzie, & Podsakoff, 2012). Esses problemas foram parcialmente mitigados no presente estudo pela inclusão de variáveis de controle que poderiam representar explicações alternativas à relação proposta entre os construtos e pela análise de um fator de Harman para verificar a intensidade da variância comum ao método (Podsakoff & Organ, 1986). …”

Section: Metodologiaunclassified

“…A extensão do efeito de variância comum ao método foi avaliada pelo teste de um fator de Harman (Podsakoff & Organ, 1986). O possível efeito da variância comum ao método foi mitigado, pois uma das hipóteses testadas é de moderação e efeitos moderadores significantes não podem ser consequências de variância comum ao método (Siemsen, Roth, & Oliveira, 2010).…”

Section: Técnicas De Análiseunclassified

“…Se a variância comum ao método é o principal determinante da variabilidade dos indicadores observados, uma análise fatorial exploratória deve extrair um único fator com autovalor superior a um ou o primeiro fator irá explicar a maior parte da variabilidade dos itens do questionário (Podsakoff & Organ, 1986). O resultado da análise fatorial revelou sete distintos fatores, dessa maneira, explicando 66% da variância total dos itens, com o primeiro fator explicando 31,9%.…”

Section: Modelo De Mensuraçãounclassified

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Motivações da Comunicação Boca a Boca Eletrônica Positiva entre Consumidores no Facebook

Tubenchlak¹,

Lima²,

Zanini³

et al. 2015

Rev. adm. contemp.

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ResumoEste estudo buscou investigar as motivações subjacentes ao comportamento de comunicação boca a boca eletrônica (BAB-e) positiva sobre produtos, serviços e marcas no site de redes sociais Facebook, no contexto brasileiro. Para tanto, foram desenvolvidas hipóteses de pesquisa e um modelo teórico para se entender as motivações da comunicação BAB-e positiva nesse contexto. A fim de testar a validade do modelo proposto, um levantamento amostral foi conduzido com 468 usuários do site no Brasil. Os dados foram analisados por meio de modelos de equações estruturais. Os resultados sugerem como motivações significantes a preocupação com outros consumidores e o desejo de interação social, assim como os desejos de extravasar emoções positivas e de ajudar a empresa. A hipótese que previu que as recompensas econômicas afetam positivamente a comunicação BAB-e positiva não foi confirmada, assim, sugerindo que as motivações deste comportamento no Facebook são de natureza social e psicológica mais do que puramente econômica. O teste empírico deu suporte ao papel moderador da força dos laços sociais na relação entre preocupação com outros consumidores e comunicação BAB-e positiva.Palavras-chave: comunicação boca a boca eletrônica; motivações; redes sociais; sites; Facebook. AbstractThe purpose of the present study is to investigate the underlying motivations for positive electronic word of mouth (eWOM) behavior about products, services and brands by Brazilian Facebook users. Research hypotheses and a theoretical model were developed to further our understanding of positive eWOM communication motivations. A survey was conducted with 468 Facebook users in Brazil in order to empirically test the validity of the proposed model. Data was analyzed using structural equations models. Results suggest that concern for other consumers, the desire to engage in social interactions, as well as the desire to share positive emotions and help companies are significant motivations. The hypothesis which predicted that economic rewards are correlated with positive eWOM communication was not confirmed, suggesting that social and psychological motivations are more correlated with eWOM behavior than purely economic reasons for Brazilian Facebook users. The empirical test supported the moderating role of tie strength in the relationship between concern for other consumers and positive eWOM communication.

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Self-Reports in Organizational Research: Problems and Prospects

Cited by 13,356 publications

References 33 publications

Dialling and driving: Factors influencing intentions to use a mobile phone while driving

Dialling and driving: Factors influencing intentions to use a mobile phone while driving

The elixir (or burden) of youth? Exploring differences in innovation between start-ups and established firms

Motivações da Comunicação Boca a Boca Eletrônica Positiva entre Consumidores no Facebook

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