A term mining approach of interview case study on enterprise lean production

Jing, Shuwei; Ho, Zih-Ping; Niu, Zhanwen

doi:10.1080/14783363.2017.1289084

“…A total of 127 Internet professionals provided their opinion towards the use of retail websites, SM, and commercial MA in an online strategy, and what is influencing the identified behavioral change. While the sample size is apparently small, it is comparable to the study by Jing et al (2017) who also conducted text mining over a similar sized sample of interviews, extracting interesting results. The collection of extensive and detailed opinions provided a meaningful amount of data, justifying the use of TM for the analysis, in detriment of manual review, and eliminating the subjectivity associated with the last analysis (Milovic and Milovic, 2012).…”

Section: 1data Collectionmentioning

confidence: 52%

“…For instance, Dirsehan (2015) applied TM technique to analyze travelers' comments collected from booking.com to create knowledge to be used for competitive advantage in tourism marketing. Jing et al (2017) used TM to scrutinize the data collected form 45 interviews to uncover the key driving factors for incentives in lean production. Kang and Park (2016) applied a TM approach to analyze expert product reviews to understand consumers' purchasing decisions.…”

Section: 3text Mining and Marketingmentioning

confidence: 99%

Is this the beginning of the end for retail websites A professional perspective

Ramos¹,

Rita

²

,

Moro

³

2021

IJIMA

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This paper expects to understand professionals' opinion concerning the impact of the increasing use of Social Media (SM) and commercial Mobile Applications (MA) instead of retail websites in their online strategy. Unstructured interviews with Internet professionals were applied on the LinkedIn professional SM platform, and one hundred and twenty-seven professionals provided their perspective. Data were analyzed using a Text Mining approach, and the outcome revealed professionals' resistance to set SM in the center of the online strategy and highlighted the preference of users to use search engines that, in turn, will lead them to a retail website.

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“…For instance, Dirsehan (2015) applied TM technique to analyze travelers' comments collected from booking.com to create knowledge to be used for competitive advantage in tourism marketing. Jing et al (2017) used TM to scrutinize the data collected form 45 interviews to uncover the key driving factors for incentives in lean production. Kang and Park (2016) applied a TM approach to analyze expert product reviews to understand consumers' purchasing decisions.…”

Section: 3text Mining and Marketingmentioning

confidence: 99%

Is this the beginning of the end for retail websites A professional perspective

Moro¹,

Rita²,

Ramos³

2021

IJIMA

0

View full text Add to dashboard Cite

This paper expects to understand professionals' opinion concerning the impact of the increasing use of Social Media (SM) and commercial Mobile Applications (MA) instead of retail websites in their online strategy. Unstructured interviews with Internet professionals were applied on the LinkedIn professional SM platform, and one hundred and twenty-seven professionals provided their perspective. Data were analyzed using a Text Mining approach, and the outcome revealed professionals' resistance to set SM in the center of the online strategy and highlighted the preference of users to use search engines that, in turn, will lead them to a retail website.

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“…As a footnote and concluding remark to this section, it is noted that text mining is increasingly used in QM, with new areas of application are being continuously developed and tested in theory as well as in practice (Jing et al, 2017;Kim and Yoo, 2018;Lo, 2008;Odigie et al, 2017;Sadeghi Moghadam et al, 2019;€ Ozda go glu et al, 2018).…”

Section: The Sociology Of Science Scientometrics and Text Miningmentioning

confidence: 99%

The quality movement's three operational paradigms: a text mining venture

Carnerud

¹

2020

TQM

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PurposeThis study aims to analyze four text-mining studies of quality management (QM) to illustrate and problematize how the research on quality has informed the quality paradigm since the 1980s. By understanding history, one can better manage current developments.Design/methodology/approachThe findings are based on a meta-analysis of four text-mining studies that explore and describe 11,579 research entries on quality between 1980 and 2017.FindingsThe findings show that the research on quality during the past 30 years form a research paradigm consisting of three operational paradigms: an operative paradigm of backend quality orbiting around QM, total QM (TQM) and service quality; an operative paradigm of middle-way quality, circling around the International Organization for Standardization (ISO), business excellence frameworks (BEFs) and quality awards; and an operative paradigm of frontend quality, revolving around reliability, costs and processes. The operative paradigms are interconnected and complementary; they also show a divide between a general management view of quality and a hands-on engineering view of quality. The findings indicate that the research on quality is a long-lived standalone paradigm, supporting the notion of quality being a genuine academic entity, not a fashion or fad.Research limitations/implicationsThe empirical basis of the study is four text-mining studies. Consequently, the results and findings are based on a limited number of findings.OriginalityText-mining studies targeting research on quality are scarce, and there seem to be no prior models that depict the quality paradigm based on such studies. The perspectives presented here will advance the existing paradigmatic discourse. The new viewpoints aim to facilitate and deepen the discussion on current and future directions of the paradigm.

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A term mining approach of interview case study on enterprise lean production

Cited by 6 publications

References 6 publications

Is this the beginning of the end for retail websites A professional perspective

Is this the beginning of the end for retail websites A professional perspective

Is this the beginning of the end for retail websites A professional perspective

The quality movement's three operational paradigms: a text mining venture

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