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The purpose of this research note is to investigate the drivers and market reaction to firms’ decision to release general COVID-19-related announcements and to withdraw earnings forecasts and dividends during the COVID-19 pandemic in the continuous disclosure environment of Australia.

The authors first tracked the market reaction of all firms in the Australian Securities Exchange All Ordinaries, Top 300, Top 200 and Top 100 indices during the early period of the COVID-19 pandemic between 1 January and 21 September 2020. The authors then focus the investigation on the incidence of firms deciding to withdraw earnings forecasts and dividends and how the market responded to these incidences during that period.

The market reacted negatively during the March/April 2020 period but then bounced back to the pre-March 2020 level. The market reaction is mainly driven by three industries, including consumer discretionary, health care and utilities. Firms in industry sectors such as consumer discretionary, materials, health care and information technology contribute to the highest percentage of COVID-19 announcements. It is interesting to document that firms issuing COVID-19 announcements and withdrawing earnings forecasts and dividends tend to be larger firms with stronger financial performance and higher financial leverage. Regarding the stock market reaction, while the market generally reacted positively to COVID-19-related announcements, the decision to withdraw earnings forecasts and dividends is significantly regarded as bad news.

The COVID-19 pandemic has provided a unique natural event to examine firms’ disclosure behaviour in the continuous disclosure environment of Australia during this period of extreme uncertainty. The incidences of earnings forecasts and dividend withdrawals are mainly driven by larger, better performing and higher leverage firms in the consumer discretionary, health care, materials and information technology industry sectors. The market generally reacted favourably to COVID-19-related announcements, despite a significant stock price drop during the March/April 2020 period. The findings provide important regulatory and practical implications.

This paper critically evaluates potential barriers to employment opportunities for ethnic minority (EM) individuals in Scottish Local Authorities – both in terms of access to job and development opportunities. It provides a fundamental discussion of concepts around race and ethnicity, and the levels of social injustice, with an explicit focus on institutional racialisation, discrimination and segregation. The paper explores organisational approaches towards recruitment, including positive action and workforce development.

This paper adopts a subjectivist (ontology) and interpretivist (epistemology) stance, based on a small-scale, in-depth investigation. The data have been gathered through semi-structured interviews with equality diversity and inclusion (EDI) officers in four Scottish Local Authorities, utilising thematic analysis.

The finding suggests that participating local authorities have a long way to go to ensure the elimination of barriers to employment for EM people. This is largely based on concerns around limitations in the application of positive action and elimination of disadvantages in recruitment and access to career and development opportunities?

The paper aims to contribute by exploring the availability of employment opportunities for EMs through the eyes of EDI Officers in four local authorities. Their thorough understanding, over- and insight into potential equality issues from an employment perspective are invaluable, focussing on more tangible organisational issues and approaches.

The reasons for and experiences during migration, as well as additional stressors in the new host country, may give rise to mental health problems and additional need for public services. The purpose of the study was to investigate factors related to service utilization among newly arrived refugee youth.

Cross-sectional data were gathered in Sweden where 37 youth aged between 19 and 23 reported on factors related to service utilization, encompassing health-care and support services in school. These factors included predisposition (demographic), need (migration status and mental wellbeing) and enablement (living situation). Service utilization was estimated using multiple logistic regression analysis.

About a fourth of the sample used psychosocial services. Use of general support was more common. Neither predisposing, need nor enabling factors were associated with the use of psychosocial or general health-related services.

Self-reported factors related to use of health-related services have previously not been investigated for refugee youth, which is important in assuring access to appropriate services for this exposed youth population.

This study aims to support researchers and practitioners in finding suitable instruments for future research studies and organizational quality assessments.

Employees’ success of learning at work is strongly influenced by the quality of the workplace learning environment. In the recent decades growing effort has been given to the development of surveys to measure the quality of workplace learning, resulting in a large number of available survey instruments. This study conceptually draws on a 3-P model and uses a qualitative metasynthesis to collect and categorize n = 94 surveys that intend to measure the quality of workplace learning (WPL).

The results underline that research on WPL environments is a highly interdisciplinary endeavor, where every discipline enriches the field by a new perspective and own foci. Overall, this study finds a focus on learning culture and working conditions, on social and functional inclusion of the learner and on support and feedback during training. Products of WPL such as professional competences or career aspirations play a minor role.

With the integration of quality measurement instruments from various research studies, this study produces an interactive online instrument map that gives a broad, yet organized overview of available quality measures in the WPL field.

In software development (SD), practitioners have realized the importance of lean thinking. A new term “Leagile” is coined, which is an integrated approach of traditional lean and agile thinking to managing the operations. The study aims to investigate the application of the Leagile principles in a new sector and establish a relationship between the adoption of Leagile approach and operational performance (OP) in SD organizations.

Empirical research is conducted to investigate the linkage between the Leagile principles and operational measures. Data is collected through surveys from 256 SD industries located in 11 states of India and analysed using the structural equation modelling approach.

The practitioners envisage a positive impact of adoption of Leagile principles on OP of SD organizations, but one of the principles, i.e. perfection, is unable to influence the performance.

The study contributes by authorizing the contribution of Leagile principles towards OP of SD organizations. The outcomes will motivate the practitioners to enhance the adoption of Leagile principles in SD organizations.

This study aims to review the current literature on the positive and negative effects of digitalisation in preventing corruption. It analyses existing research patterns and provides recommendations for future studies.

This paper employed bibliometric analysis and systematic review to scrutinise 190 papers from the Web of Science database from 2000 to 2023. Biblioshiny on R Studio was used for advanced bibliometric analysis to determine publication dynamics, influential journals, publications and impactful authors and a three-field plot to analyse relationships among countries, keywords and journals.

This study provides a bibliometric analysis of the past and actual developments in the field related to the effects of digitalisation on corruption. Based on the systematic literature review on a sample of the 50 most influential articles, this study identified background theories employed, the primary research methodologies adopted and valuable insights into both the positive and negative aspects of the impact of digitalisation on corruption.

This study provides an extended overview of the effects of digitalisation on corruption and advances new avenues for further research related to this field. The white and dark sides of the effects of digitalisation on corruption are highlighted. Furthermore, the study identifies the need for further research in this field to gain a more in-depth understanding of the nexus between digitalisation and corruption.

As an effective tool to promote rational resource allocation and facilitate the development of green management practices such as enterprise digital innovation, the green credit policy has recently gained extensive attention. The purpose of this paper is to analyze the relationship between green credit policies and the digital innovation of enterprises, and to further explore the mechanism of action between them and their boundary conditions.

Based on micro-level data on Chinese firms from 2007 to 2019, this paper constructs a difference-in-differences (DID) model to investigate the impact and intrinsic mechanisms of green credit policies on firms' digital innovation and its boundary conditions, with the help of a quasi-natural experiment, i.e. the Green Credit Guidelines.

Green credit policies inhibit digital innovation and fail to compensate for innovation. The analysis of the mechanism shows that the implementation of green credit policies has a negative impact on digital innovation by increasing the financing constraints faced by firms, and has also a crowding-out effect on R&D investment, resulting in a disincentive to digital innovation. Further analysis reveals that the negative impact of green credit policies on digital innovation is more pronounced in state-owned enterprises, enterprises without financially experienced executives, and in the eastern regions of China.

This study provides empirical evidence to understand the effectiveness and mechanism of influence of green credit policies on enterprise digital innovation, providing also a basis to further improve green credit policies.

The study seeks to analyze the influence of sensory experience on perceived environmental sustainability and word-of-mouth (WOM) of tourists and residents. The study also tests the moderation effect of satisfaction on the relationship between perceived environmental sustainability and WOM.

The study was conducted in Sikkim, a state in the northeastern part of India, which is regarded as the world's first organic state. The study was done in two phases. In the first phase, the data were collected from the tourists. And in the second phase, data were collected from the residents. A structured questionnaire was distributed to 700 tourists and residents in Sikkim. Out of these only 484 responses were considered for the study. Multivariate analyses were done using SPSS software and packages like Process Macro, and Amos to test the hypotheses.

The findings of the study indicated that sensory experience significantly influences perceived environmental sustainability and WOM. The study model fit with GFI = 0.955, CFI = 0.946 NFI = 0.929 and RMSEA = 0.07. The findings also indicate that satisfaction moderates the relation between sensory experience and word-of-mouth with a p value = 0.018.

The study was conducted in Sikkim and it used a convenience sampling method. Therefore, the study cannot be generalized.

An emphasis on building an organic brand image can positively impact the local community. A study of this kind will encourage the community to work toward sustainable development.

The study is unique as it explores the evaluation of destination environmental sustainability. And it is one of the first to test the impact of satisfaction in the relationship between the independent and dependent variables in the context of the tourism experience.