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Open Access
Article
Publication date: 13 March 2024

Tjaša Redek and Uroš Godnov

The Internet has changed consumer decision-making and influenced business behaviour. User-generated product information is abundant and readily available. This paper argues that…

Abstract

Purpose

The Internet has changed consumer decision-making and influenced business behaviour. User-generated product information is abundant and readily available. This paper argues that user-generated content can be efficiently utilised for business intelligence using data science and develops an approach to demonstrate the methods and benefits of the different techniques.

Design/methodology/approach

Using Python Selenium, Beautiful Soup and various text mining approaches in R to access, retrieve and analyse user-generated content, we argue that (1) companies can extract information about the product attributes that matter most to consumers and (2) user-generated reviews enable the use of text mining results in combination with other demographic and statistical information (e.g. ratings) as an efficient input for competitive analysis.

Findings

The paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance.

Research limitations/implications

The paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance.

Originality/value

The study makes several contributions to the marketing and management literature, mainly by illustrating the methodological advantages of text mining and accompanying statistical analysis, the different types of distilled information and their use in decision-making.

Details

Kybernetes, vol. 53 no. 13
Type: Research Article
ISSN: 0368-492X

Keywords

Open Access
Article
Publication date: 8 February 2024

Ana Isabel Lopes, Edward C. Malthouse, Nathalie Dens and Patrick De Pelsmacker

Engaging in webcare, i.e. responding to online reviews, can positively affect consumer attitudes, intentions and behavior. Research is often scarce or inconsistent regarding the…

Abstract

Purpose

Engaging in webcare, i.e. responding to online reviews, can positively affect consumer attitudes, intentions and behavior. Research is often scarce or inconsistent regarding the effects of specific webcare strategies on business performance. Therefore, this study tests whether and how several webcare strategies affect hotel bookings.

Design/methodology/approach

We apply machine learning classifiers to secondary data (webcare messages) to classify webcare variables to be included in a regression analysis looking at the effect of these strategies on hotel bookings while controlling for possible confounds such as seasonality and hotel-specific effects.

Findings

The strategies that have a positive effect on bookings are directing reviewers to a private channel, being defensive, offering compensation and having managers sign the response. Webcare strategies to be avoided are apologies, merely asking for more information, inviting customers for another visit and adding informal non-verbal cues. Strategies that do not appear to affect future bookings are expressing gratitude, personalizing and having staff members (rather than managers) sign webcare.

Practical implications

These findings help managers optimize their webcare strategy for better business results and develop automated webcare.

Originality/value

We look into several commonly used and studied webcare strategies that affect actual business outcomes, being that most previous research studies are experimental or look into a very limited set of strategies.

Details

Journal of Service Management, vol. 35 no. 6
Type: Research Article
ISSN: 1757-5818

Keywords

Article
Publication date: 10 January 2024

Matthew A. Hawkins and Fathima Z. Saleem

Recent literature identifies the importance of influencer-brand fit, a congruence between the narrative of the social media influencer (SMI) and the branded product being…

Abstract

Purpose

Recent literature identifies the importance of influencer-brand fit, a congruence between the narrative of the social media influencer (SMI) and the branded product being reviewed, on purchase intentions. In creating brand-related content, SMIs can post content that can be either sponsored by the brand or unsponsored. This research merges these literature streams to examine how influencer-brand fit impacts purchase decisions and whether sponsorship status moderates this relationship.

Design/methodology/approach

Using a 2 (poor vs good influencer-brand fit) × 2 (sponsored vs unsponsored post) experimental design (n = 198), the relationship between influencer-brand fit and purchase intention, the mediating role of SMI trust and the moderating role of perceived sponsorship are tested. The PROCESS macro was used to analyze direct and indirect paths.

Findings

The results demonstrate that influencer trust mediates the relationship between influencer-brand fit and purchase intention, highlighting the importance of a congruent influencer and brand image in both increasing influencer trust and purchase intentions. Surprisingly, despite the reductions in purchase intentions from conducting a poor-fitting review, purchase intentions are the same between a poor-fitting unsponsored review and a good fitting sponsored review.

Practical implications

Decision-makers of both corporations and SMI personal brands should consider influencer-brand fit when selecting SMI partners to sponsor and brands to work with, respectively, and should aim for good fit between both parties. SMIs should avoid conducting sponsored, poor-fitting product reviews to limit reductions in trust. Influencers seeking to branch out of their area of expertise can initially consider unsponsored content before venturing into sponsored partnerships. Companies seeking to widen their reach through poor-fitting SMIs should consider alternative strategies to sponsorship.

Originality/value

As sponsored content is common, it is necessary to merge the influencer-brand fit and influencer sponsorship literature. Additionally, this study considers the mediating role of influencer trust, an important variable in predicating purchase intentions as well as helping SMI grow their audience.

Details

Management Decision, vol. 62 no. 1
Type: Research Article
ISSN: 0025-1747

Keywords

Article
Publication date: 5 February 2024

Qiuli Su, Aidin Namin and Seth Ketron

This paper aims to investigate textual characteristics of customer reviews that motivate companies to respond (sentiment negativity and sentiment deviation) and how aspects of…

Abstract

Purpose

This paper aims to investigate textual characteristics of customer reviews that motivate companies to respond (sentiment negativity and sentiment deviation) and how aspects of these company responses (response intensity, length and tailoring) affect subsequent customer review quality (comprehensiveness and readability) over time.

Design/methodology/approach

Leveraging a large data set from a leading app website (Shopify), the authors combine text mining, natural language processing (NLP) and big data analysis to examine the antecedents and outcomes of online company responses to reviews.

Findings

This study finds that companies are more likely to respond to reviews with more negative sentiment and higher sentiment deviation scores. Furthermore, while longer company responses improve review comprehensiveness over time, they do not have a significant influence on review readability; meanwhile, more tailored company responses improve readability but not comprehensiveness over time. In addition, the intensity (volume) of company responses does not affect subsequent review quality in either comprehensiveness or readability.

Originality/value

This paper expands on the understanding of online company responses within the digital marketplace – specifically, apps – and provides a new and broader perspective on the motivations and effects of online company responses to customer reviews. The study also extends beyond the short-term focus of prior works and adds to literature on long-term effects of online company responses to subsequent reviews. The findings provide valuable insights for companies (especially those with apps) to enhance their online communication strategies and customer engagement.

Details

Journal of Consumer Marketing, vol. 41 no. 1
Type: Research Article
ISSN: 0736-3761

Keywords

Article
Publication date: 27 November 2023

Manuel Castelo Branco

By providing a critical analysis of a recent literature review concerning environmental, social and governance (ESG) and corporate social responsibility (CSR) research in finance…

Abstract

Purpose

By providing a critical analysis of a recent literature review concerning environmental, social and governance (ESG) and corporate social responsibility (CSR) research in finance which was published in the Journal of Corporate Finance (Gillan et al., 2021), examining it in the light of several reviews on the same or similar lines of research, this paper aims to serve those who wish to do research in the CSR/ESG/corporate sustainability and the reporting thereof areas in finance.

Design/methodology/approach

This note serves to comment on Gillan et al.’s review.

Findings

Irrespective of the merits of the review, it should not be used by newcomers to the research on CSR in corporate finance given that it provides a very biased view of it.

Originality/value

This commentary serves the purpose of cautioning those interested in becoming acquainted with CSR-related research in corporate finance that the review on which it focuses should be used only as an entry point, given that it offers an incomplete and biased picture.

Details

Sustainability Accounting, Management and Policy Journal, vol. 15 no. 1
Type: Research Article
ISSN: 2040-8021

Keywords

Article
Publication date: 20 November 2023

Madhuri Prabhala and Indranil Bose

While there has been extensive research on understanding the effects of online reviews on product sales, there is not enough investigation of the inter-relationships between…

Abstract

Purpose

While there has been extensive research on understanding the effects of online reviews on product sales, there is not enough investigation of the inter-relationships between online reviews, online search and product sales. The study attempts to address this gap in the context of the Indian car market.

Design/methodology/approach

The research uses text mining and considers six important review features volume, valence, length, deviation of valence, sentiment and readability within the heuristic and systematic model of information processing. Panel data regression is used along with mediation analysis to study the inter-relationships between features of reviews, online search and sales.

Findings

The study finds that numerical heuristic features significantly affect sales and online search, numerical systematic feature affects sales and the textual heuristic and systematic features do not affect sales or online search in the Indian car market. Further, online search mediates the association between features of reviews and sales of cars.

Research limitations/implications

Although only car sales data from India is considered in this research, similar relationships between review features, online search and sales could exist for the car market of other countries as well.

Originality/value

This research uncovers the unique role of online search as a mediator between review features and sales, whereas prior literature has considered review features and online search as independent variables that affect sales.

Details

Industrial Management & Data Systems, vol. 124 no. 2
Type: Research Article
ISSN: 0263-5577

Keywords

Open Access
Article
Publication date: 15 December 2023

Chunyi Xian, Hessam Vali, Ruwen Tian, Jingjun David Xu and Mehmet Bayram Yildirim

The authors investigate the varying impact of three categories of conflicting consumer reviews (i.e. conflicting opinions on attributes of a product item, conflicting ratings of…

Abstract

Purpose

The authors investigate the varying impact of three categories of conflicting consumer reviews (i.e. conflicting opinions on attributes of a product item, conflicting ratings of an item and the intensity of conflicting reviews of an item) on the potential customers' perceived informativeness, which is expected to affect the perceived correct purchase.

Design/methodology/approach

To test their proposed hypotheses, the authors conducted an experiment using a 2 × 2 × 2 factorial design for each conflict type comprising two levels (low vs high).

Findings

The results of this study found that conflicting opinions on product attributes can enhance potential customers' perceptions of informativeness and subsequent correct purchase decisions while conflicting ratings and the intensity of conflicting reviews can diminish potential customers' perceptions of informativeness. In addition, conflicting ratings negatively moderate the effect of conflicting attributes on perceived informativeness such that the positive effect of conflicting attributes on perceived informativeness will be less prominent when conflicting ratings are present (vs absent).

Originality/value

While potential customers are browsing product descriptions, reviews and comments from other purchasers are also playing a role in influencing a potential customer's purchase decision. However, given the different experiences and temperaments of individuals, the subjective remarks and ratings of individuals are sometimes inconsistent or even conflicting, which can lead to confusion among potential customers. The authors categorize the positive or negative effects of the three conflicting reviews based on the two dimensions of ease of capture and product diagnosticity. The findings can help platforms optimize the display of product reviews to help potential customers make more accurate purchase decisions.

Details

Journal of Electronic Business & Digital Economics, vol. 3 no. 1
Type: Research Article
ISSN: 2754-4214

Keywords

Article
Publication date: 4 December 2023

Jin Lu, Mohammad Falahat and Phaik Kin Cheah

This study aimed to develop an in-depth understanding of the outcomes of servant leadership at the team and organizational levels. It reviews the relationship between servant…

Abstract

Purpose

This study aimed to develop an in-depth understanding of the outcomes of servant leadership at the team and organizational levels. It reviews the relationship between servant leadership and its team- and organizational-level outcomes, and examines the mediation and moderation effect of the relationship. It further identifies the mechanism by which servant leadership is beneficial to the organization.

Design/methodology/approach

A systematic literature review is conducted, focused on 52 articles published between 2012 and 2022. Content analysis and descriptive analysis were used to respond to the research questions.

Findings

A new conceptual model was developed to better understand the outcomes, mediators and moderators of servant leadership at team and organization level.

Research limitations/implications

Future research should further explore outcomes of servant leadership at team and organizational levels and test how mediators affect the relationship between servant leadership and associated outcomes.

Practical implications

This study provides a framework for leaders on how servant leadership contributes to teams and organizations, and how a leader applies servant leadership.

Originality/value

This systematic review presents a new model that builds on existing research into servant leadership and its impact on team and organizational levels completed in the past decade. To date, there have been no reviews of servant leadership that focus only on outcomes at the team and organizational levels using a widely recognized database.

Details

Journal of Organizational Change Management, vol. 37 no. 2
Type: Research Article
ISSN: 0953-4814

Keywords

Article
Publication date: 24 November 2023

Kristina K. Lindsey-Hall, Eric J. Michel, Sven Kepes, Ji (Miracle) Qi, Laurence G. Weinzimmer, Anthony R. Wheeler and Matthew R. Leon

The purpose of this manuscript is to provide a step-by-step primer on systematic and meta-analytic reviews across the service field, to systematically analyze the quality of…

Abstract

Purpose

The purpose of this manuscript is to provide a step-by-step primer on systematic and meta-analytic reviews across the service field, to systematically analyze the quality of meta-analytic reporting in the service domain, to provide detailed protocols authors may follow when conducting and reporting these analyses and to offer recommendations for future service meta-analyses.

Design/methodology/approach

Eligible frontline service-related meta-analyses published through May 2021 were identified for inclusion (k = 33) through a systematic search of Academic Search Complete, PsycINFO, Business Source Complete, Web of Science, Google Scholar and specific service journals using search terms related to service and meta-analyses.

Findings

An analysis of the existing meta-analyses within the service field, while often providing high-quality results, revealed that the quality of the reporting can be improved in several ways to enhance the replicability of published meta-analyses in the service domain.

Practical implications

This research employs a question-and-answer approach to provide a substantive guide for both properly conducting and properly reporting high-quality meta-analytic research in the service field for scholars at various levels of experience.

Originality/value

This work aggregates best practices from diverse disciplines to create a comprehensive checklist of protocols for conducting and reporting high-quality service meta-analyses while providing additional resources for further exploration.

Article
Publication date: 1 April 2002

J.M.P. Venter and R. du Bruyn

Internal auditing assumes an increased responsibility for the evaluation of entity operations as a service to management and the board of directors. Quality assurance review is…

1745

Abstract

Internal auditing assumes an increased responsibility for the evaluation of entity operations as a service to management and the board of directors. Quality assurance review is the process through which assurance is obtained that the internal auditing department’s work is done in accordance with the Standards for the Professional Practice of Internal Auditing. This study examines the current practices of quality assurance review in South Africa. Although not all organisations surveyed do perform internal auditing quality assurance reviews, the organisations that do, benefit from them. Various methods are used in practice to perform internal and external quality assurance reviews. This study provides information on the processes and procedures used in quality assurance review programmes.

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