Use of causal models in marketing research: A review

Hulland, John; Chow, Yiu Ho; Lam, Shun Yin

doi:10.1016/0167-8116(96)00002-x

Cited by 267 publications

(176 citation statements)

References 35 publications

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“…Both groups have the minimum sample size to run SEM, according to SEM literature (Hair et al, 2004 andHulland et al, 1996). Recent studies in operations management field, use SEM with similar or even lower samples or Bernroider andSchmöllerl, 2013 andDowlatshahi andCao, 2006. To ensure that there is no multicollinearity between the variables analyzed, we calculated the variance inflation factors (VIF) and the condition index.…”

Section: Analysis Of Variance (Anova)mentioning

confidence: 99%

The relationship between exploration and exploitation strategies, manufacturing flexibility and organizational learning: An empirical comparison between Non-ISO and ISO certified firms

Tamayo-Torres

Gutiérrez

Moreno

2014

European Journal of Operational Research

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The markets in which organizations currently operate require them to use behaviour based on both exploitation strategy and exploration strategy, each of which contributes fundamental benefits for the firm's success. Exploitation strategy attempts to obtain the maximum advantage from existing abilities, whereas exploration strategy searches for new ways for the organization to adapt. Further, since manufacturing markets are characterized by short product life, they require a high level of manufacturing flexibility, which can play a crucial role in the development of the exploitation and exploration strategies. This study analyses the relationship of manufacturing flexibility to exploitation and exploration strategies, taking into account an issue of maximum international scope: the implementation of ISO standards. In many international markets, ISO implementation is crucial in enabling organizations to be competitive. However, no consensus has been reached concerning the real benefits that these systems provide to the organizations that implement them. The main goal of our study is to analyse whether there are significant differences in the relationship of manufacturing flexibility to exploitation and exploration strategies in ISO 9001:2000 certified organizations and non-certified organizations. Our results show that most of the relationships analysed are only significant in ISO certified organizations. As an added value, the study analyses the relationship of exploitation and exploration strategies to organizational learning orientation and finds this relationship to be significant in all cases.

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Section: Analysis Of Variance (Anova)mentioning

confidence: 99%

The relationship between exploration and exploitation strategies, manufacturing flexibility and organizational learning: An empirical comparison between Non-ISO and ISO certified firms

Tamayo-Torres

Gutiérrez

Moreno

2014

European Journal of Operational Research

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“…The goodness-of-fit index (GFI), a descriptive overall measurement, requires a minimum value of .9 (Bagozzi and Yi 1988), and the same threshold applies to the comparative fit index (CFI) and the incremental fit index (IFI). Compared with GFI, however, the latter two are less sensitive to m odel complexity (Hulland et al 1996). Finally, we use the quotient of χ 2 (chisquare test) and degrees of freedom (df), as well as the root mean square error of approximation (RMSEA), as important measurements of fit.…”

Section: Measurement Development and Assessmentmentioning

confidence: 99%

Explaining behavioural intentions toward co-branded products

Helmig¹,

Huber²,

Leeflang³

2007

Journal of Marketing Management

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“…(Schreiber et al, 2006). The GFI (0.984) and AGFI (0.981) scores for all the constructs were found to be consistently >.900 indicating that a significant proportion of the variance in the sample variance-covariance matrix is accounted for by the model and a good fit has been achieved (Hair et al, 1998;Baumgartner and Homburg, 1996;Hulland et. al, 1996;Kline, 1998;Holmes-Smith, 2002, Byrne, 2001).…”

Section: Fig 2 Path Analysis Depicting Observed and Latent Variablesmentioning

confidence: 99%

Moderating impact of tourism relationship management dimensions on tourism service quality, tourist satisfaction and destination loyalty

Baksi¹

2014

10.5267/j.dsl

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This study attempts to assess the moderating impact of recently introduced tourist relationship management (TRM) framework on service quality perception-tourist satisfaction-destination loyalty link. Tourist relationship management framework draws inspiration from customer relationship management (CRM) model with validated addition of dimensions compatible to tourism dynamics. The study, carried out in Santiniketan, India, confirmed moderating impact of dimensional performance of tourist relationship management on perceived tourism service quality-tourist satisfaction-destination loyalty link.

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Use of causal models in marketing research: A review

Cited by 267 publications

References 35 publications

The relationship between exploration and exploitation strategies, manufacturing flexibility and organizational learning: An empirical comparison between Non-ISO and ISO certified firms

The relationship between exploration and exploitation strategies, manufacturing flexibility and organizational learning: An empirical comparison between Non-ISO and ISO certified firms

Explaining behavioural intentions toward co-branded products

Moderating impact of tourism relationship management dimensions on tourism service quality, tourist satisfaction and destination loyalty

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