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This study aims to investigate four internal (organisational structure, quality of information technology, business strategy and market orientation) and two external (competition intensity and perceived environmental uncertainty) contextual factors affecting the use of production planning and control accounting techniques (PPC), as well as the impact of PPC usage on organisational competitiveness.

Seven major PPC techniques were investigated, namely: attribute costing, lifecycle costing, quality costing, target costing, value-chain costing, activity-based costing and activity-based management. By deploying a multi-informant strategy, a structured questionnaire was used to gather survey data from 129 senior accounting, finance and production personnel of publicly quoted manufacturing companies in Nigeria.

The results, using structural equation modelling, show that market orientation is the strongest determinant of PPC usage. The inability of competition intensity and perceived environmental uncertainty to notably affect PPC usage suggests that external environmental pressure to use PPC is weak. Although PPC can engender organisational competitiveness, their interactive usage yields optimal results.

The study contributes to knowledge by: (i) presenting evidence that although PPC techniques can engender organisational competitiveness, it is their interactive usage that yields optimal results; (ii) empirically demonstrating that contextual factors influence PPC usage in line with the contingency theory; and (iii) validating the diffusion of innovation theory that organisations will typically deploy PPC techniques because of their relative advantage of improving organisational competitiveness.

Although publicly listed firms in Sri Lanka have been increasingly adapting sustainability reporting into their annual reporting practices, a limited number of firms prepare sustainability reports by integrating sustainable development goals (SDGs) into reporting mechanisms. This study attempts to develop an index to monitor firms' sustainability reporting practices based on Global Reporting Institute (GRI) guidelines integrating SDGs.

This paper develops a sustainability score index using the 17 SDGs utilising the results of content analysis of corporate annual reports of a selected sample of 100 firms listed on the Colombo Stock Exchange (CSE). Principal component analysis was employed to examine the reliability of data in the developed index.

Findings show that the developed scoring index is efficient for evaluating the contents of the sustainability reports of Sri Lankan firms. Sustainability reporting practises with regard to the SDGs were observed to have a turbulent period from 2015 to 2019 and the SDGs 12 and 15 were identified to be mostly reported in Sri Lankan corporate sustainability reports.

The results of the study add to knowledge on the monitoring of sustainability reporting practises with reference to SDGs. The study outcomes are useful for the investors, stakeholders, and statutory bodies to measure the sustainable performance of business firms and assess the firm’s commitment towards the global sustainability agenda.

To the best of our knowledge, this is the first study that constructs a sustainability reporting score index integrating SDGs.

The relationships between transformational leadership (TL), organizational climate (OC) and project performance have been investigated by previous studies, but no review of existing studies has systematically analyzed the effects of TL and OC on project performance in the industrial revolution (IR) 5.0 era. Therefore, this study aims to conduct a systematic literature review on the effects of TL and OC on project performance in IR 5.0, and to identify mainstream research topics, research gaps and future research directions.

To do this, a total of 53 included journal articles were obtained after initially retrieving 648 documents from the Scopus database by following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. It consists of four main steps, namely, identification of documents, screening, eligibility and included articles. In addition, science mapping analyses were conducted for keyword co-occurrence and document analyses, which aided in identifying the mainstream research topics, research gaps and future research directions.

The results report the annual publication trends, keywords and document analyses. Furthermore, a detailed qualitative discussion highlighted four mainstream research topics including TL in project management; the relationship between TL, OC and innovation; safety climate; and OC in project management. Moreover, this review study identified four research gaps and future research directions aligned with the mainstream research topics. They include: longitudinal investigations and multinational corporation surveys in TL; scope and longitudinal data in innovation; mono-method bias and universality of safety climate; and more comprehensive analyses of OC.

This review study would contribute to not only advancing the effects of TL and OC on project performance in IR 5.0, but also enabling project managers to understand TL or OC issues to improve project performance.

This study aims to examine how women on board influence quality and quantity disclosure of emissions discharge by the listed non-financial firms for the period of six years (2016–2021), with institutional ownership as a moderator.

The study obtained data from a sample of 83 listed non-financial firms. A content analysis technique was employed to compute emissions disclosure indexes using Global Reporting Initiatives standards from the sampled firms. Random and fixed effect regression analyses were run for both direct and moderation models. Based on the results of the Hausman tests, random results were adopted and used in examining the relationship.

The result reveals that women on board are significantly related to emission disclosure. The study also documented that institutional owners have not influenced the relationship between women directors and emissions disclosure.

The study's findings have practical implications for emerging economies, corporations and other business organizations seeking to actively involve the emissions control and reduction issues toward sustainable development goals 5, 7 and 13 in their business models and successfully communicate these efforts to stakeholders.

Listed firms in emerging economies would gain sincerity through the women directors’ knowledge, skills, demographics and ethnicity in the society. Therefore, corporate bodies in emerging economies can successfully contribute toward improving the social welfare of various segments of society by controlling current and future climate issues. Additionally, society will surely benefit when firms control the pollution discharges within the community.

This is the first study, to the best of the authors’ knowledge, that provides empirical evidence on the effect of the presence of women on board on emissions disclosure using institutional ownership as a moderator in Nigeria.

Despite the evident link between digitalisation and sustainability, many organisations have these two strategies operating on a parallel basis and not in a coordinated manner. Hence the objective of this work, which consists of proposing a model to analyse the connection existing between both strategies within the business environment, additionally relating them to innovation and Corporate Social Responsibility (CSR).

With that aim, the results of a survey answered by 98 managers of Spanish enterprises are examined using the PLS software, especially suited for the study of structural equations like the one put forward in this paper.

The conclusions drawn suggest that the most innovative firms are indeed the ones that invest to a greater extent in digitalisation and sustainability. It was also possible for us to verify that digitalisation exerts a positive influence on sustainability and that both the latter and digitalisation directly relate to CSR strategies. However, innovation as such does not constitute a requirement for CSR; instead, these Social Responsibility actions will take place when innovations rely on digitalisation and sustainability strategies.

Until now, most studies have addressed digitalisation and sustainability independently, with contradictory theoretical approaches in the literature about these two topics and a paucity of empirical results about the link between digitalisation and sustainability. The present study clarifies the relationships between sustainability and digitalisation, also relating them to innovation and CSR in the business environment.

The increasing awareness and adoption of technology, particularly artificial intelligence (AI), reshapes industries and daily life, fostering a proactive approach to risk management and leveraging advanced analytics, which may affect the stock price crash risk (SPCR). The main objective of the current study is to explore how AI adoption influences SPCR.

This study employs an Ordinary Least Squares (OLS) fixed-effect regression model to explore the impact of AI on SPCR in Chinese A-share listed companies from 2010 to 2020. Further, number of robustness analysis (2SLS, PSM and Sys-GMM) and channel analysis are used to validate the findings.

The primary findings emphasize that AI adoption significantly reduces SPCR likelihood. Further, channel analysis indicates that AI adoption enhances internal control quality, contributing to a reduction in firm SPCR. Additionally, the observed relationship is notably more pronounced in non-state-owned enterprises (non-SOEs) compared to state-owned enterprises (SOEs). Similarly, this distinction is heightened in nonforeign enterprises (non-FEs) as opposed to foreign enterprises (FEs). The study finding also supports the notion that financial analysts enhance transparency, reducing the SPCR. Moreover, the study results consistently align across different statistical methodologies, including 2SLS, PSM and Sys-GMM, employed to effectively address endogeneity concerns.

Our study stands out for its distinctive focus on the financial implications of AI adoption, particularly how it influences firm-level SPCR, an area that has been overlooked in previous research. Through the lens of information asymmetry theory, agency theory, and the economic implications of integrating AI into financial markets, our study makes a substantial contribution in mitigating SPCR.

This study underscores the pivotal role of AI adoption in influencing stock markets for enterprises in China. Embracing digital strategies, fostering transparency and prioritizing talent development are key for reaping substantial benefits. The study recommends regulatory bodies and service providers to promote AI adoption in strengthening financial supervision and ensure market stability, emphasizing the importance of investing in technologies and advancing talent development.

The purpose of this paper is to examine whether mandatory disclosure of information accompanying the sale of real estate achieves its aim of informed purchasers.

Using a case study approach focused on mandatory disclosure in South Australia data was collected from interviews and focus groups with key personnel in the property industry involved in the production of information required to fulfil vendors’ disclosure obligations.

The authors found that purchasers are ill-served by a long and complex form of mandatory disclosure with a short time frame that prevents the use of the information provided. Without good form design and increased digital affordances provided by the cadastral and conveyancing systems, mandatory disclosure is insufficient to ensure minimisation of information asymmetry between vendor and purchaser.

To the best of the authors’ knowledge, this is the first Australian qualitative study that examines the utility of mandatory vendor disclosure in real estate sales and the first to consider the impact of the digitalisation of cadastral and conveyancing systems upon the efficacy of mandatory disclosure regimes.

This paper examines the impact of foreign direct investment (FDI) on the economic growth of Afghanistan over the period 1990 to 2019.

This study uses an autoregressive distributed lag (ARDL) to measure FDI’s impact on economic growth and determine the short- vs long-run relationship.

The results show that the F-bound cointegration test confirms the long-run relationship among the variables. The long-run and short-run results reveal that foreign direct investment has a significant negative impact on economic growth in the long run. However, domestic investment and labour force have a significant and positive impact on economic growth in the long run. Moreover, the impact of trade openness on economic growth is insignificant in the long run, while it has a significant negative impact in the short run.

In this study, we contribute to this research area by analysing the function of FDI in economic growth from Afghanistan’s experience and perspectives. This is the first study empirically examining this relationship in Afghanistan while considering other selected macroeconomic indicators. This paper could greatly benefit policymakers in Afghanistan by guiding the formulation of FDI policies that would spur its economic growth and development.