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Book part
Publication date: 24 July 2020

Emily D. Campion and Michael A. Campion

This literature review is on advanced computer analytics, which is a major trend in the field of Human Resource Management (HRM). The authors focus specifically on…

Abstract

This literature review is on advanced computer analytics, which is a major trend in the field of Human Resource Management (HRM). The authors focus specifically on computer-assisted text analysis (CATA) because text data are a prevalent yet vastly underutilized data source in organizations. The authors gathered 341 articles that use, review, or promote CATA in the management literature. This review complements existing reviews in several ways including an emphasis on CATA in the management literature, a description of the types of software and their advantages, and a unique emphasis on findings in employment. This examination of CATA relative to employment is based on 66 studies (of the 341) that bear on measuring constructs potentially relevant to hiring decisions. The authors also briefly consider the broader machine learning literature using CATA outside management (e.g., data science) to derive relevant insights for management scholars. Finally, the authors discuss the main challenges when using CATA for employment, and provide recommendations on how to manage such challenges. In all, the authors hope to demystify and encourage the use of CATA in HRM scholarship.

Details

Research in Personnel and Human Resources Management
Type: Book
ISBN: 978-1-80043-076-1

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Article
Publication date: 10 July 2017

Joy Parkinson, Lisa Schuster, Rory Mulcahy and Heini Maarit Taiminen

This paper aims to examine the service experience in an online support community of consumers to understand the nature of social support and how it is experienced and…

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1401

Abstract

Purpose

This paper aims to examine the service experience in an online support community of consumers to understand the nature of social support and how it is experienced and enacted by vulnerable consumers.

Design/methodology/approach

A netnographic study was conducted to examine vulnerable consumers’ participation in an online support group for weight management. The Linguistic Inquiry Word Count (LIWC) program was used, and additionally data were coded using open coding. A hybrid approach to data analysis was undertaken using inductive and deductive methods.

Findings

The findings suggest online social support groups can be used as an online “third place” to support vulnerable consumers, with vulnerable groups engaging with the online support group differently than those in the normal weight group. Social support was also found to be bi-directional in nature.

Research limitations/implications

This study only investigates one online support group. To gain deeper insights, other support groups should be examined over a longer period.

Practical implications

This paper demonstrates that transformative services have the hidden capacity to optimize their services to enable vulnerable consumers to co-create social support in a safe place, thus providing a non-judgmental environment with the end goal of improving their health and well-being.

Social implications

Findings reveal how services can enable marginalization and stigmatization to be overcome and inspire social action through the use of online support groups.

Originality/value

This research is unique in that it used a netnography approach to examine how vulnerable consumers interact in an online service setting, reducing self-report bias and allowing for a natural research setting, thus allowing a unique understanding of how vulnerable consumers experience and enact social support.

Details

Journal of Services Marketing, vol. 31 no. 4/5
Type: Research Article
ISSN: 0887-6045

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Article
Publication date: 26 June 2019

Sherese Y. Duncan, Raeesah Chohan and João José Ferreira

This paper aims to explore, using the employee lens of business-to-business firms, word use through brand engagement and social media interaction to understand the…

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1069

Abstract

Purpose

This paper aims to explore, using the employee lens of business-to-business firms, word use through brand engagement and social media interaction to understand the difference between employees who rate their employer brands highly on social media and those who don't.

Design/methodology/approach

We conducted a textual content analysis of posts published on the social media job evaluation site glassdoor.com. LIWC software package was used to analyze 30 of the top 200 business-to-business brands listed on Brandwatch using four variables, namely, analytical thinking, clout, authenticity and emotional tone.

Findings

The results show that employees who rate their employer’s brand low use significantly more words, are significantly less analytic and write with significantly more clout because they focus more on others than themselves. Employees who rate their employer’s brand highly, write with significantly more authenticity, exhibit a significantly higher tone and display far more positive emotions in their reviews.

Practical implications

Brand managers should treat social media data disseminated by individual stakeholders, like the variables used in this study (tone, word count, frequency), as a valuable tool for brand insight on their industry, competition and their own brand equity, now and especially over time.

Originality/value

This study provides acknowledgement that social media is a significant source of marketing intelligence that may improve brand equity by better understanding and managing brand engagement.

Details

Journal of Business & Industrial Marketing, vol. 34 no. 7
Type: Research Article
ISSN: 0885-8624

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Book part
Publication date: 5 January 2016

Abstract

Details

Storytelling-Case Archetype Decoding and Assignment Manual (SCADAM)
Type: Book
ISBN: 978-1-78560-216-0

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Book part
Publication date: 5 January 2016

Abstract

Details

Storytelling-Case Archetype Decoding and Assignment Manual (SCADAM)
Type: Book
ISBN: 978-1-78560-216-0

Click here to view access options
Book part
Publication date: 5 January 2016

Abstract

Details

Storytelling-Case Archetype Decoding and Assignment Manual (SCADAM)
Type: Book
ISBN: 978-1-78560-216-0

Click here to view access options
Book part
Publication date: 5 January 2016

Abstract

Details

Storytelling-Case Archetype Decoding and Assignment Manual (SCADAM)
Type: Book
ISBN: 978-1-78560-216-0

Click here to view access options
Book part
Publication date: 5 January 2016

Abstract

Details

Storytelling-Case Archetype Decoding and Assignment Manual (SCADAM)
Type: Book
ISBN: 978-1-78560-216-0

Click here to view access options
Book part
Publication date: 5 January 2016

Abstract

Details

Storytelling-Case Archetype Decoding and Assignment Manual (SCADAM)
Type: Book
ISBN: 978-1-78560-216-0

Click here to view access options
Book part
Publication date: 5 January 2016

Abstract

Details

Storytelling-Case Archetype Decoding and Assignment Manual (SCADAM)
Type: Book
ISBN: 978-1-78560-216-0

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