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1 – 10 of over 10000
Article
Publication date: 13 July 2022

Anne-Maree O’Rourke, Alex Belli and Frank Mathmann

Academic research has supported the belief that consumers undertip minority race service workers due to implicit racial biases. However, there has been less focus in examining…

Abstract

Purpose

Academic research has supported the belief that consumers undertip minority race service workers due to implicit racial biases. However, there has been less focus in examining possible moderating factors. This paper aims to fill this gap by analyzing the role of direct and indirect experience in tipping frontline service workers from a minority background. Given the prominence of customer ratings on digital service platforms and the perception that African Americans are discriminated against, the authors look at the interplay of interaction length (direct experience) and customer ratings (indirect experience) on the relationship between race and tipping.

Design/methodology/approach

An expectancy disconfirmation framework was developed and tested with a sample of 360 US participants in an online experiment. The experiment followed a 2 × (race: African-American versus Caucasian) × 2 (direct experience: limited versus extensive) × 3 (indirect experience: absent versus positive versus negative customer rating) design.

Findings

The authors found consumers who have extended direct experience (longer service interaction) and no indirect experience (absent customer ratings) tipped African Americans more than Caucasians. Interestingly, this effect is reduced in the presence of indirect experience (customer ratings). Finally, where the consumer lacks direct experience (shorter service interaction) but is exposed to positive indirect experience (positive customer ratings), consumers tip African Americans more.

Originality/value

To the best of the authors’ knowledge, this is the first paper that examines the role of direct and indirect experience in the relationship between race and tipping. Based on the authors’ findings, the authors provide several contributions, including recommendations to reduce inequalities arising from implicit racial bias on digital service platforms.

Details

Journal of Consumer Marketing, vol. 40 no. 5
Type: Research Article
ISSN: 0736-3761

Keywords

Article
Publication date: 14 March 2023

Qiang Ye, Sai Liang, Zaiyan Wei and Rob Law

From the perspective of two-sided review systems, this study aims to investigate how guests’ prior reputation influences their subsequent satisfaction on Airbnb.

Abstract

Purpose

From the perspective of two-sided review systems, this study aims to investigate how guests’ prior reputation influences their subsequent satisfaction on Airbnb.

Design/methodology/approach

This study applied a conceptual framework based on social capital theory to explain the effect of guests’ reputation decided by hosts’ prior evaluations on their subsequent satisfaction. The authors collected 96,204 guest reviews posted for 17,325 properties on Airbnb and used the review polarity to measure guest satisfaction. All historical evaluations generated by hosts for each guest were collected and treated as a proxy of guest reputation. Ordinary least squares regressions were conducted to estimate the effect of guests’ reputation on their subsequent satisfaction.

Findings

Results show that guests whose historical evaluations have higher valences or larger variations tend to be more satisfied in their subsequent bookings. However, the number of reviews that guests received from hosts in the past does not influence their subsequent satisfaction.

Research limitations/implications

This study provides new insights into the hospitality literature by identifying the influencing factors of guest satisfaction on peer-to-peer rental platforms from the perspective of two-sided review systems. Results also present practical implications to property owners and website designers to gain a deeper understanding of the determinants of guest satisfaction and the consequences of social interactions between hosts and guests.

Originality/value

This study is a novel attempt that analyzes the effect of guests’ reputation on their satisfaction with subsequent bookings based on two-sided review systems on peer-to-peer rental platforms. Thus, this study provides a starting point for investigating how two-sided review systems affect use behavior on peer-to-peer rental platforms.

Details

International Journal of Contemporary Hospitality Management, vol. 35 no. 10
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 21 August 2023

Shavneet Sharma, Kritika Devi, Samantha Naidu, Tuma Greig, Gurmeet Singh and Neale Slack

This study explores consumers' intentions to utilize online food delivery services (OFDS) in a shared economy beyond the COVID-19 pandemic, employing the protection motivation…

Abstract

Purpose

This study explores consumers' intentions to utilize online food delivery services (OFDS) in a shared economy beyond the COVID-19 pandemic, employing the protection motivation theory (PMT) as the underlying framework.

Design/methodology/approach

Utilizing a random sampling technique, a quantitative approach was employed to gather responses from 347 Australian consumers. The proposed model was tested through covariance-based structural equation modelling.

Findings

The findings of this study demonstrate significant positive relationships between restaurant credibility, food quality, e-service quality, price, online food delivery applications, consumer e-satisfaction and e-loyalty. It reveals that consumers satisfied with OFDS may continue exhibiting e-loyalty intentions in a shared economy beyond COVID-19. The relationship between consumer e-satisfaction and e-loyalty intention is moderated by consumer-perceived COVID-19 risk.

Practical implications

This study offers practical implications for online food delivery providers, restaurants, regulators, application developers and policymakers. These implications aim to enhance the e-service quality, price value, usefulness and security of OFDS, along with strategies to improve the online food delivery application.

Originality/value

This study contributes to the existing body of knowledge by examining a unique selection of antecedents, including the OFDS app, to determine consumer e-satisfaction and e-loyalty in the context of a shared economy beyond COVID-19. The utilization of the OFDS app as a second-order construct adds a meaningful contribution to the OFDS literature. Furthermore, this study investigates and contributes to the limited understanding of the moderation effect of consumer-perceived COVID-19 risk on consumer e-satisfaction and their intended continued use of OFDS.

Details

British Food Journal, vol. 125 no. 11
Type: Research Article
ISSN: 0007-070X

Keywords

Open Access
Article
Publication date: 25 July 2023

Jacqueline E. McLaughlin, Kathryn Morbitzer, Margaux Meilhac, Natalie Poupart, Rebekah L. Layton and Michael B. Jarstfer

While known by many names, qualifying exams function as gatekeepers to graduate student advancement to PhD candidacy, yet there has been little formal study on best qualifying…

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Abstract

Purpose

While known by many names, qualifying exams function as gatekeepers to graduate student advancement to PhD candidacy, yet there has been little formal study on best qualifying exam practices particularly in biomedical and related STEM PhD programs. The purpose of this study is to examine the current state of qualifying exams through an examination of the literature and exploration of university-wide policies.

Design/methodology/approach

The authors conducted a literature review of studies on qualifying exams and completed an external evaluation of peer institutions’ and internal institutional qualifying exam requirements to inform our discussion of qualifying exams practices in PhD training at a research-intensive US institutions.

Findings

This study identified the need for more research on qualifying exams to establish evidence-based best practices. The authors found a wide variety of qualifying exam formats, with little evidence in support for specific formats. The authors also found little evidence that student expectations are made clear. The lack of evidence-based best practices coupled with insufficient clarity for students has a real potential to disadvantage PhD students, particularly first generation, underrepresented minority, international and/or other trainees who are not privileged or socialized to navigate training environments with vague landmarks such as the qualifying exams.

Originality/value

There are very few studies that evaluate qualifying exams in US doctoral education, particularly in STEM fields, and to the authors’ knowledge, there has been no analysis of campus-wide policies on qualifying exams reported. The lack of evidence for best practices and the need for to evaluate the implementation and effectiveness of qualifying exams are discussed.

Details

Studies in Graduate and Postdoctoral Education, vol. 15 no. 1
Type: Research Article
ISSN: 2398-4686

Keywords

Article
Publication date: 7 April 2023

Krzysztof Rybinski

This paper aims to investigate the relationship between student emotions, professors' performance and course ratings and difficulty.

Abstract

Purpose

This paper aims to investigate the relationship between student emotions, professors' performance and course ratings and difficulty.

Design/methodology/approach

Natural language processing models are used to extract six basic emotions and several categories of professors' harmful performance from nearly one million student reviews randomly selected from the website ratemyprofessors.com. These features are used in regression analysis to analyse their relationship with numerical ratings of course quality and course difficulty.

Findings

Negative emotions and bad performance by professors are detected more often for low-rated courses and courses perceived as more difficult by students. Positive emotions are seen for highly rated and less challenging courses.

Practical implications

This paper shows that natural language processing tools can be used to enhance and strengthen the quality assurance processes at universities. The proposed methods can improve the often-contested student evaluation of teaching practices, help students make better and more informed choices about their courses and assist instructors to better tailor their teaching approaches and create a more positive learning environment for their students.

Originality/value

This paper presents a novel analysis of how student emotions and poor performance by professors, derived automatically from teacher evaluations by students, affect course ratings. Results also lead to a novel hypothesis that the student–course emotional match or student tolerance of bad behaviour by professors can affect the performance of students and their chances of completing their degree.

Details

Quality Assurance in Education, vol. 31 no. 3
Type: Research Article
ISSN: 0968-4883

Keywords

Article
Publication date: 26 April 2022

Jonas R. Kunst, Jannicke Kirkøen and Onab Mohamdain

Physically less attractive job applicants are discriminated against in hiring decisions. In a US context, the authors tested whether appearance-altering photo-filters can exploit…

Abstract

Purpose

Physically less attractive job applicants are discriminated against in hiring decisions. In a US context, the authors tested whether appearance-altering photo-filters can exploit this bias, focusing on the moderating role of job type, gender and race as well the mediating role of two major dimensions of person perception (warmth and competence).

Design/methodology/approach

In study 1, 223 managers evaluated White mock applicants presented with or without a beautifying filter for either a position as a social worker or an IT specialist. In study 2, 212 managers evaluated Black and White mock applicants with or without beautifying filters for an HR specialist position.

Findings

In study 1, beautifying filters increased perceived hireability irrespective of job type, but especially when applicants were female. Both male and female applicants whose photos were filtered were perceived as more competent, but only male applicants were perceived as warmer. In study 2, beautifying filters increased the hireability only slightly for White female applicants, followed by White and Black male applicants but substantially for Black female applicants. The filters increased the perceived competence of Black (and especially Black female) applicants but not of White applicants and increased the perceived warmth of all groups except for White females. Warmth and competence partially mediated the observed effects on hireability in both studies.

Originality/value

In the context of widely available technological advances, the authors show that beautifying photo-filters can exploit attractiveness biases, at least at an early hiring stage. The results emphasize the importance of intersecting factors such as gender and race.

Details

Management Decision, vol. 61 no. 4
Type: Research Article
ISSN: 0025-1747

Keywords

Article
Publication date: 15 July 2022

Junyun Liao, Jiawen Chen and Fei Jin

Recent years have witnessed the popularity of social free sampling (SFS). That is, firms on social commerce platforms (e.g. Amazon Vine and Pconline Try) offer free sample…

Abstract

Purpose

Recent years have witnessed the popularity of social free sampling (SFS). That is, firms on social commerce platforms (e.g. Amazon Vine and Pconline Try) offer free sample products for consumers' applications, and the selected applicants are required to write a product trial report on the sites as a return. The main advantage of SFS is to leverage users' product trial reports to increase product exposure and attract prospective consumers. Thus, product trial reports play a central role in SFS. Despite that scholars have examined the rating bias of product trial reports in recent years' knowledge concerning how product trial reports influence user (i.e. readers of product trial reports) engagement remains sparse. To address the research gap, this paper aims to examine the drivers of user engagement with product trial reports.

Design/methodology/approach

This study utilized the Poisson regression model to analyze 3,419 trial reports collected from a well-known Chinese SFS site.

Findings

Based on the ELM model, the empirical results indicate that product rating, vividness, opinion balance, and reputation of the trial user are positively associated with user engagement. However, longer reports and reports with higher emotional intensity lead to weaker user engagement. Furthermore, product prices strengthen the positive impact of opinion balance but weaken the positive impact of trial users' reputations.

Originality/value

This study is among one of the first studies to investigate the impact of trial reports on user engagement in SFS. It yields actionable guidelines for SFS campaigns.

Details

Information Technology & People, vol. 36 no. 4
Type: Research Article
ISSN: 0959-3845

Keywords

Book part
Publication date: 4 April 2024

Chih-Chen Hsu, Kai-Chieh Chia and Yu-Chieh Chang

This study investigates the efficiency of value relevance and faithful representation when stock market price derivates from its firm value to the investigated IT companies listed…

Abstract

This study investigates the efficiency of value relevance and faithful representation when stock market price derivates from its firm value to the investigated IT companies listed in FTSE Taiwan 50. The empirical investigation reveals one financial indicators: Return on equity (ROE) has explanatory ability among seven financial indicators, earnings per share (EPS), book value (BV), dividend yield (Div.), price–earnings ratio (P/E), ROE, return on assets (ROA), and return on operating asset (ROOA) to both sampled companies, United Microelectronics Corporation, UMC, (2303) and Taiwan Semiconductor Manufacturing Company Limited, TSMC, (2330). Furthermore, the empirical results indicate that the higher order moments, skewness and kurtosis, of price deviation do not provide a reliable prediction or explanatory power for stock price trends.

Open Access
Article
Publication date: 2 February 2024

Stephen Dix

The aim of this paper is to generate a streamlined, transparent and effective instrument to fairly measure the contribution made by each student to a group project within a higher…

Abstract

Purpose

The aim of this paper is to generate a streamlined, transparent and effective instrument to fairly measure the contribution made by each student to a group project within a higher education context. The primary aim is to moderate the grades of underperforming students at the end of the project. There is a secondary benefit in alerting underperforming students to raise their contribution mid-task or face a potentially reduced grade at the final stage.

Design/methodology/approach

The development of this multi-dimensional instrument is guided by findings from previous research. The quest is to minimise the instructor's administrative work load in applying a moderation-only instrument that is open-source and available at no cost. Based on the literature, the survey instrument seeks to apply a peer-based, equitable and transparent evaluation of each member's contribution to a group task. The survey is applied at mid-task and again at end-task in order to afford underperformers the opportunity to address contribution deficits during the final phase of the project.

Findings

The instrument, called TANDEM©, offers a transparent, streamlined, equitable, confidential and practical measure of each student's contribution to a graded group task. Students whose end-task contribution falls below the group average rating receive a proportional reduction in their personal grade. Additionally, the end-task moderation instrument captures a single-item holistic measure of relative contribution that may, in the future, serve as a surrogate for the multi-dimensional measures currently in place.

Research limitations/implications

TANDEM© was developed with group sizes of four or five members in mind. There is no evidence to support its application to three-person groups. Moreover, the application was applied only amongst under-graduate students. It is yet to be applied across post-graduate groups and within online learning environments. Future research into diverse cultural settings would serve to advance understanding of how moderation is perceived across borders.

Practical implications

Several existing group grade moderation methods propose complex algorithms that are “black box” solutions from a student's perspective. In establishing a fair, streamlined, confidential and transparent process for peer-rated moderation, TANDEM© deploys a concise instrument with a relatively small administrative load. TANDEM © may be applied to all groups or can selectively be applied to groups that report moderate, strong or extreme levels of conflict.

Social implications

Students will appreciate the opportunity to rate peer contributions to group projects. This will dissipate the negative social sentiment that may arise when fellow students benefit from the work of others. Those students seeking conflict resolution within the group will value the transparent and equitable moderation of grades as well as the positive social implications that follow.

Originality/value

This research forms part of an ongoing quest to present a moderation instrument that fairly identifies student contribution to a group project. Whilst the solution proposed is one of many existing alternatives, its focus is on a practical moderation-only instrument that can immediately be applied to a course or major. The benefits lie in the ease of application and minimal administrative workload. This constitutes an original contribution to the individual (course or major) coordinator who seeks to apply a moderation-only instrument without having to commit to an extensive, broad-based group optimisation programme.

Details

Asia Pacific Journal of Marketing and Logistics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1355-5855

Keywords

Article
Publication date: 18 January 2024

Yahan Xiong and Xiaodong Fu

Users often struggle to select choosing among similar online services. To help them make informed decisions, it is important to establish a service reputation measurement…

Abstract

Purpose

Users often struggle to select choosing among similar online services. To help them make informed decisions, it is important to establish a service reputation measurement mechanism. User-provided feedback ratings serve as a primary source of information for this mechanism, and ensuring the credibility of user feedback is crucial for a reliable reputation measurement. Most of the previous studies use passive detection to identify false feedback without creating incentives for honest reporting. Therefore, this study aims to develop a reputation measure for online services that can provide incentives for users to report honestly.

Design/methodology/approach

In this paper, the authors present a method that uses a peer prediction mechanism to evaluate user credibility, which evaluates users’ credibility with their reports by applying the strictly proper scoring rule. Considering the heterogeneity among users, the authors measure user similarity, identify similar users as peers to assess credibility and calculate service reputation using an improved expectation-maximization algorithm based on user credibility.

Findings

Theoretical analysis and experimental results verify that the proposed method motivates truthful reporting, effectively identifies malicious users and achieves high service rating accuracy.

Originality/value

The proposed method has significant practical value in evaluating the authenticity of user feedback and promoting honest reporting.

Details

International Journal of Web Information Systems, vol. 20 no. 2
Type: Research Article
ISSN: 1744-0084

Keywords

1 – 10 of over 10000