2016
DOI: 10.1080/14783363.2016.1263543
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Measuring the impact of soft and hard quality practices on service innovation and organisational performance

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Cited by 52 publications
(74 citation statements)
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References 81 publications
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“…Secondly, the findings of this study supports the view that innovation contributes towards improved business performance. In addition, these findings supports the results of previous studies by Khan and Naeem (2016) and Thankur and Hale (2013) that discovered that there existent of a positive influence of service innovation on the financial and nonfinancial performance.…”
Section: Conclusion and Discussionsupporting
confidence: 90%
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“…Secondly, the findings of this study supports the view that innovation contributes towards improved business performance. In addition, these findings supports the results of previous studies by Khan and Naeem (2016) and Thankur and Hale (2013) that discovered that there existent of a positive influence of service innovation on the financial and nonfinancial performance.…”
Section: Conclusion and Discussionsupporting
confidence: 90%
“…In addition, these previous studies are conducted in other sectors of the economy such as manufacturing, engineering, construction and SMEs rather than exclusively in the motor vehicle retail/dealership sector which present a gap for the proposed study. Innovation studies, particularly, service innovation studies conducted in manufacturing and service industries, (Rangus & Slavec, 2017;Parris et al, 2016;Khan & Naeem, 2016;Zhang et al, 2015;Chang et al, 2014;Kindström & Kowalkowski, 2014;Chong & Zhou, 2014;Kindström, 2013;Salunke et al, 2013;Thakur & Hale, 2013;Ordanini et al, 2013;Janeiro et al 2013;Pesämaa et al, 2013).…”
Section: 2mentioning
confidence: 99%
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“…Construct validity comprises convergent validity and discriminant validity. Convergent validity determines the degree to which multiple items coincide to measure the same concept [63]. To measure convergent validity, we calculated the Average Variance Extracted (AVE) of each construct and compared it with that construct's correlation with the other constructs.…”
Section: Results Of the Confirmatory Factor Analysis (Cfa)mentioning
confidence: 99%
“…SEM is a statistical technique rather confirmatory in testing research hypotheses representing relationships between latent variables or constructs [61]. In addition, SEM allows for the simultaneous analysis of a series of causal relationships between multiple constructs [63]. We tested the model depicted in Fig 2 using the Maximum Likelihood estimation method and software program IBM SPSS Amos 23.…”
Section: Model Assessment and Hypothesis Testingmentioning
confidence: 99%