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Chocolate production and cocoa supply chains are rife with social and environmental challenges. Chocolate companies commonly make claims that their products are “sustainable”, giving little guidance on what this means. The aim of this paper is to conduct a scoping review to synthesise the accounting literature related to the chocolate industry and sustainability and develop a research agenda for accounting scholarship.

The scoping review followed Arksey and O’Malley’s (2005) five-stage framework for a scoping review. Nineteen accounting journals were searched for literature on “chocolate OR cocoa AND sustainability” from 2000 to 2023. A total of 171 papers were identified through the search, of which 18 were deemed relevant and included for thematic analysis. The themes are analysed using a conceptual framework on accountability.

Analysis of the relevant literature revealed three distinct perspectives on sustainability in the chocolate industry. These include critique on the problems related to top-down accountability approaches in the chocolate industry; that accountability mechanisms have fallen short in managing sustainability challenges; and that sustainability interventions are driven by profit motives. The themes further reveal a lack of accountability in the industry for marginalised voices.

The scoping review methodology used in this study offers insights into the diverse perspectives on sustainability in the chocolate industry. This research adds valuable knowledge to the field by uncovering nuanced issues around accountability and sustainability and highlighting the need for future research for accountability for sustainable chocolate production.

This paper aims to investigate the role of virtual training in supporting Sustainable Development Goals (SDGs) and reducing workforce inequalities. It analyzes both the advantages and challenges of integrating virtual training within sustainable development frameworks and the circular economy, underlining its crucial role in transforming workforce strategies and enhancing economic and social progress.

The study uses Becker’s human capital theory (1964) and Bandura’s social learning theory (1977) to explore the impact of virtual training on human capital development and its contributions to specific SDGs. This integrated approach provides a detailed exploration of how virtual training intersects with sustainable development initiatives.

The findings highlight the pivotal role of technology in training and development, particularly in the post-pandemic landscape. Virtual training significantly enhances global collaboration, inclusivity and sustainability. It highlights the necessity of adapting corporate training practices to digital environments, thereby improving the quality of education, advancing gender equality and stimulating economic growth.

This paper presents unique perspectives on the influence of workplace training in the post-pandemic era, focusing on technological integration. It discusses how such integration supports diversity, equity and inclusion within the workforce and highlights the essential role of virtual training in promoting organizational flexibility and enhancing employee skills amidst ongoing digital transformations.

This study investigates the service quality dimensions of hotel resorts in renowned beach destinations of Thailand. It also explores the relationship between review text sentiment expressed in online platforms and the satisfaction ratings provided for those reviews.

The study employs a two-step analysis approach: first, supervised and unsupervised machine learning via support vector machine (SVM) and latent Dirichlet allocation (LDA) are used to identify service quality dimensions, and second, SmartPLS with PROCESS macro is applied to analyze the moderating roles of quality signals and reviewer’s experience on the relationship between sentiment and satisfaction rating. The dataset comprises 102,179 online reviews from TripAdvisor, focusing on 187 selected hotels rated from 3 to 5 stars.

Eight service quality dimensions were identified, including leisure activities, tangibles and surroundings, reliability, responsiveness, service process, food, empathy and ambience. The study underscores that the service process stands as the sole dimension exhibiting negative sentiment. Furthermore, the analysis revealed a robust positive association between sentiment of review texts and satisfaction, and reviewers’ experience and brand affiliation influenced the relationship between customer sentiment and satisfaction.

Hotel managers should focus efforts on maintaining tangible aspects while enhancing existing service quality level of other dimensions, particularly those related to intangible elements. Independent hotels might implement quality audit to ensure that service quality gaps are monitored.

This study contributes an examination of the moderating roles of quality signals and reviewer’s experience on the relationship between review sentiment and satisfaction rating in online reviews.

This paper aims to explore the growing integration of social media, specifically Snapchat, into workplace environments and its impact on communication behaviors, especially among Generation Z and Millennials. The focus is on analyzing how Snapchat’s communication cycles, such as notifications, Snap streaks and best friend rankings, affect workplace efficiency. This study also investigates how cultural variations around connectivity and work-life balance amplify or mitigate these effects in global settings.

This research uses social comparison theory and self-determination theory to examine the psychological and social impacts of Snapchat’s features on workplace productivity. Drawing on qualitative and quantitative literature, the paper explores how different cultural contexts influence employees’ interaction with Snapchat during work hours. Theoretical frameworks are applied to understand the cognitive and social disruptions caused by social media, while practical strategies for human resource management are explored.

Snapchat’s design fosters continuous user engagement, often leading to fragmented attention and reduced productivity, particularly in work environments. Cultural norms surrounding social media usage and work-life boundaries either intensify or alleviate the disruptive effects of Snapchat. For example, the pressure to maintain social ties amplifies workplace distractions in collectivist cultures. In contrast, individualistic cultures may emphasize productivity over social connection, allowing for more effectively managing these distractions.

This paper contributes to the growing body of literature on social media’s impact on workplace dynamics by offering a culturally nuanced approach to understanding digital distractions. By focusing on Snapchat, a platform with unique features that encourage habitual interaction, the study provides novel insights into how global human resource strategies can be tailored to different cultural settings. The findings suggest practical solutions for managing digital overload and optimizing employee performance in increasingly interconnected work environments.

This paper aims to explore the impact of the data observation period on the computation of altmetric measures like velocity index (VI) and half-life. Furthermore, it also attempts to determine whether article-level computations are better than computations on the whole of the data for computing such measures.

The complete publication records for the year 2016 indexed in Web of Science and their altmetric data (original tweets) obtained from PlumX are obtained and analysed. The creation date of articles is taken from Crossref. Two time-dependent variables, namely, half-life and VI are computed. The altmetric measures are computed for all articles at different observation points, and by using whole group as well as article-level averaging.

The results show that use of longer observation period significantly changes the values of different altmetric measures computed. Furthermore, use of article-level delineation is advocated for computing different measures for a more accurate representation of the true values for the article distribution.

The analytical results show that using different observation periods change the measured values of the time-related altmetric measures. It is suggested that longer observation period should be used for appropriate measurement of altmetric measures. Furthermore, the use of article-level delineation for computing the measures is advocated as a more accurate method to capture the true values of such measures.

The research work suggests that altmetric mentions accrue for a longer period than the commonly believed short life span and therefore the altmetric measurements should not be limited to observation of early accrued data only.

The present study indicates that use of altmetric measures for research evaluation or other purposes should be based on data for a longer observation period and article-level delineation may be preferred. It contradicts the common belief that tweet accumulation about scholarly articles decay quickly.

Several studies have shown that altmetric data correlate well with citations and hence early altmetric counts can be used to predict future citations. Inspired by these findings, majority of such monitoring and measuring exercises have focused mainly on capturing immediate altmetric event data for articles just after the publication of the paper. This paper demonstrates the impact of the observation period and article-level aggregation on such computations and suggests to use a longer observation period and article-level delineation. To the best of the authors’ knowledge, this is the first such study of its kind and presents novel findings.