Conducting Semi‐Structured Interviews

Adams, W. T.

doi:10.1002/9781119171386.ch19

Cited by 762 publications

(455 citation statements)

References 4 publications

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“…We constructed a guide for semi-structured interviews to focus on insights from expert practitioners of big data in transportation. The semi-structured interview approach allows the interviewer to focus the discussion on topics of interest while encouraging the interviewee to emphasise particular interests and expertise (Adams 2015). We included "probes" as bulleted items on the guide, related to our research questions.…”

Section: Interview Methodsmentioning

confidence: 99%

Mitigating Bias in Big Data for Transportation

Griffin

Mulhall

Simek

et al. 2020

J. Big Data Anal. Transp.

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Emerging big data resources and practices provide opportunities to improve transportation safety planning and outcomes. However, researchers and practitioners recognise that big data from mobile phones, social media, and on-board vehicle systems include biases in representation and accuracy, related to transportation safety statistics. This study examines both the sources of bias and approaches to mitigate them through a review of published studies and interviews with experts. Coding of qualitative data enabled topical comparisons and reliability metrics. Results identify four categories of bias and mitigation approaches that concern transportation researchers and practitioners: sampling, measurement, demographics, and aggregation. This structure for understanding and working with bias in big data supports research with practical approaches for rapidly evolving transportation data sources.

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Section: Interview Methodsmentioning

confidence: 99%

Mitigating Bias in Big Data for Transportation

Griffin

Mulhall

Simek

et al. 2020

J. Big Data Anal. Transp.

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show abstract

“…This research paved the way for the development of an interview guide to be used in the in-depth case study analysis. We carried out semi-structured interviews [36] with professionals dealing with the automotive industry and the three additional product groups of our analysis.…”

Section: Research Goals and Methodsologiesmentioning

confidence: 99%

Bio-Based Products in the Automotive Industry: The Need for Ecolabels, Standards, and Regulations

Wurster

Ladu

2020

Sustainability

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At the Hanover Fair in April 2018, the Bioconcept-Car was presented as a model for the future of sustainable mobility. Likewise, a car made of cellulose nanofiber was presented at the Tokyo Motor Show in 2019. Various additional automotive applications for bio-based materials have been developed, some of which are already in use in cars. However, supportive measures for stimulating their market acceptance are needed. Based on a mix of research methods, this article describes how ecolabels, sustainability standards, and regulations might support the market uptake of bio-based car components. In addition, comparison with three other types of bio-based products are provided. The article ends with suggestions for future market development activities.

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“…These baseline data helped to benchmark different indicators, measure the performance and analyse associated efforts. The qualitative data were gathered in the form of thick description such as observation, interaction, noticeboard notes, and semi-structured interviews with 19 research participants [101]. Similarly, quantitative data were drawn from financial reports and the number of customers and employees.…”

Section: Methodsologymentioning

confidence: 99%

SME Growth in a Recession: What Does a Growing Business Tell?

Gyanwali¹

2020

OJBM

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This article talks about growing small businesses in a recession and examines management strategies that made the company grow. Recessionary periods are accepted tough for small and medium enterprises (SMEs) to survive and grow, yet some do. SME performance is discussed associating with different factors including barriers, business characteristics, owner-manager lifestyle and networks. Prior studies have a significant contribution in exploring aggregate SME growth phenomena, but there is a little understanding of how SMEs grow in the recessionary periods. This study used a pluralist methodology with the participant action research as a primary approach, case study as a design and mix-method strategy to collect and analyse data. The research is dominant by qualitative research where such data were collected from a series of informal interviews and observation. Similarly, quantitative data such as business records and financial information were gathered from primary and secondary sources. The case study firm implemented two management strategies: learning in the organisation and restructuring the organisation to achieve growth during the recession of 2008-2009. Even though the precise impact of these strategies is challenging to establish, both learning and restructuring strategies were making the firm grow in the recession of 2008-2009. Since SMEs operate in a context, any "ready-to-use" and "one-size-fits-all" strategies and advice do not help individual businesses grow. This paper will be of interest to all the people who are involved in making the SMEs grow in recessionary periods.

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Conducting Semi‐Structured Interviews

Cited by 762 publications

References 4 publications

Mitigating Bias in Big Data for Transportation

Mitigating Bias in Big Data for Transportation

Bio-Based Products in the Automotive Industry: The Need for Ecolabels, Standards, and Regulations

SME Growth in a Recession: What Does a Growing Business Tell?

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