Management of Marketing Research Projects: Does Delivery Method Matter Anymore in Survey Research?

Roster, Catherine A.; Rogers, Robert D.; Hozier, George C.; Baker, Kenneth G.; Albaum, Gerald

doi:10.2753/mtp1069-6679150203

Cited by 29 publications

(20 citation statements)

References 42 publications

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“…However, we had to drop 73 responses because the respondents failed to complete the entire survey instrument. While this completion rate is low, it is in line with the findings of other researchers who have employed electronic survey instruments to collect data from business professionals (Beebe, Young, & Chang, 2014;Roster, Rogers, Hozier, Baker, & Albaum, 2007;Roy & Berger, 2005).…”

Section: Sample Characteristicssupporting

confidence: 85%

An Empirical Examination of an Agile Contingent Project/Method Fit Model

Young

Beebe

Dietrich

et al. 2016

CAIS

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Abstract:While research has demonstrated positive productivity and quality gains from using agile software development methods (SDMs), some experts argue that no single SDM suits every project context. We lack empirical evidence about the project contextual factors that influence when one should use these methods. Research suggests several factors to explain agile method appropriateness; however, generalizable empirical evidence supporting these suggestions is weak. To address this need, we used contingency theory and the information processing model to develop the agile contingent project/method fit model. Subsequently, we used the model to analyze the influence of project contextual factors and agile practices on software development professionals' perceptions regarding agile SDM appropriateness. We tested the model using survey data collected from 122 systems development professionals who provided information regarding: 1) contextual factors surrounding a recent agile development project, 2) agile practices applied during the course of that project, and 3) perceptions regarding the relative fit (appropriateness) of the agile method used. Linear regression identified several significant relationships between project contextual factors, agile practices, and respondents' relative fit perceptions.

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Section: Sample Characteristicssupporting

confidence: 85%

An Empirical Examination of an Agile Contingent Project/Method Fit Model

Young

Beebe

Dietrich

et al. 2016

CAIS

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“…85 Despite the positive results of some previous research, additional research surrounding the use of online data collection has not been as positive. For example, Roster et al (2007) found that the use of online means for data collection produced an inferior response rate, and more item omissions when compared to traditional collection 90 methods. In addition, Roster, Rogers, & Albaum (2004) observed more neutral evaluations when compared to the use of telephone interviews.…”

Section: Q2mentioning

confidence: 99%

“…Previously, Roster et al (2007) identified low-response rates and 55 item omission rates as issues associated with online data collection methods. This study's focus is to examine the factors that impact data quality and survey participation when online data collection is conducted.…”

Section: Abstract Data Collection Introductory Elements Online-surmentioning

confidence: 99%

Online Survey Research: Can Response Factors Be Improved?

Wright

Schwager

2008

Journal of Internet Commerce

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“…In this case the sample represents the overall population very well in terms of gender, age and patronage concentration. Furthermore, characteristics of online samples do not differ substantially from samples obtained by offline methods (Roster et al 2007). …”

Section: Limitations and Further Researchmentioning

confidence: 98%