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The purpose of this explanatory research was to understand how firms align strategic planning and budgeting both ex ante and ex post. After the literature review indicated that there was a shortcoming in explaining how the alignment was done, we interviewed management accountants at 20 large, profitable, stock-market listed firms with head offices in the Toronto area of Canada. To understand practice through interviews, we used qualitative, multi-case field research to address our research question, how do firms achieve alignment between their strategic plans and budgets, both ex ante and ex post? Our findings and contribution were that, rather than multiple processes (strategy, strategic planning, budgeting, and forecasting), strategic planning and budgeting are part of a single process. Alignment of strategic planning and budgeting is undertaken prior to the beginning of the fiscal year (ex ante) and during the fiscal year (ex post). Both provide opportunities to change ineffective strategies, strategic plans, and actions to minimize financial harm. Ex ante and ex post alignments enable the accomplishment of firms’ financial objectives through explicit and verifiable decisions. With forecasting heretofore being an unclear and ambiguous subprocess, this chapter has made it transparent and manageable in assisting with accomplishing the strategy, strategic plan, and budget.

In this paper, the editors argue that management accounting research should seek to expand to examine the broader ecosystem of information sources that influence organizational performance. The editors introduce the concept of the management accounting ecosystem as a means of linking discrete management accounting research topics to the broader environment in which organizations operate. By doing this, a stronger connection can be established between management accounting research and management accounting practice. The goal is to encourage more cross-disciplinary research that provides a better understanding of the ecosystem in which management accounting practitioners operate. The editors encourage researchers to submit studies to “Advances in Management Accounting” that evaluate the effectiveness of new management accounting information sources and the techniques used to analyze them in the broader ecosystem to enhance the effectiveness of management accounting practices. By exploring the wider information sources within the management accounting ecosystem, future management accounting research can become more innovative and better address the decision-making needs of organizational members.

Accounting information systems are mainly rule-based, and data are usually available and well-structured. However, many accounting systems are yet to catch up with current technological developments. Thus, artificial intelligence (AI) in financial accounting is often applied only in pilot projects. Using AI-based forecasts in accounting enables proactive management and detailed analysis. However, thus far, there is little knowledge about which prediction models have already been evaluated for accounting problems. Given this lack of research, our study aims to summarize existing findings on how AI is used for forecasting purposes in financial accounting. Therefore, the authors aim to provide a comprehensive overview and agenda for future researchers to gain more generalizable knowledge.

The authors identify existing research on AI-based forecasting in financial accounting by conducting a systematic literature review. For this purpose, the authors used Scopus and Web of Science as scientific databases. The data collection resulted in a final sample size of 47 studies. These studies were analyzed regarding their forecasting purpose, sample size, period and applied machine learning algorithms.

The authors identified three application areas and presented details regarding the accuracy and AI methods used. Our findings show that sociotechnical and generalizable knowledge is still missing. Therefore, the authors also develop an open research agenda that future researchers can address to enable the more frequent and efficient use of AI-based forecasts in financial accounting.

Owing to the rapid development of AI algorithms, our results can only provide an overview of the current state of research. Therefore, it is likely that new AI algorithms will be applied, which have not yet been covered in existing research. However, interested researchers can use our findings and future research agenda to develop this field further.

Given the high relevance of AI in financial accounting, our results have several implications and potential benefits for practitioners. First, the authors provide an overview of AI algorithms used in different accounting use cases. Based on this overview, companies can evaluate the AI algorithms that are most suitable for their practical needs. Second, practitioners can use our results as a benchmark of what prediction accuracy is achievable and should strive for. Finally, our study identified several blind spots in the research, such as ensuring employee acceptance of machine learning algorithms in companies. However, companies should consider this to implement AI in financial accounting successfully.

To the best of our knowledge, no study has yet been conducted that provided a comprehensive overview of AI-based forecasting in financial accounting. Given the high potential of AI in accounting, the authors aimed to bridge this research gap. Moreover, our cross-application view provides general insights into the superiority of specific algorithms.

This paper empirically demonstrates the major organizational events of a rolling forecasting process and the roles of controllers therein. In particular, this study aims to investigate how the understanding of a “realistic forecast” is translated and questioned by various mediators in the rolling forecasting process and how it affects the quality of planning as the ultimate accuracy of forecasts is seen as important.

This study follows an actor-network theory (ANT) approach and maps the key points of translation in the rolling forecasting process by inspecting the roles of mediators. This qualitative case study is based on interviews with controllers and managers involved in the forecasting process in a single manufacturing company.

The paper identified two episodes of translation in the forecasting process, in which the forecast partially stabilized to create room for managerial discussion and debate. The abilities of controllers to infiltrate various functional groups and calculative practices appeared to be one way to control the accuracy of forecasting, although this was built on a façade of neutrality.

Prior literature identifies the aims of interactive planning processes as being to improve the quality of planning. The authors apply ANT to better understand the nature of mediators in constructing an entity called a “realistic rolling forecast”.

With the accelerated global adoption of integrated reporting, this paper aims to understand the role of practicing accountants in integrated reporting.

Using the case study approach, data was collected from semi-structured interviews in six international organisations that have adopted integrated reporting. Institutional work provided the theoretical insights for this study.

The study found that accountants were an indispensable part of the integrated reporting process because of their strength and knowledge in corporate reporting. However, despite having the potential to engage, it was noted that accountants currently do not apply their key reporting skills in the integrated reporting context. It was observed that accountants’ roles were limited to carrying out their traditional routine financial reporting activities including reporting on the financial aspects of the report, developing key performance indicators and assisting with assurance related tasks.

This study adds to the limited literature by providing a comprehensive understanding of how accountants are currently involved in integrated reporting. This study suggests that accountants are seeking to maintain their existing institutional practices.

A need for accountants to move beyond maintaining their institutional roles and engage more extensively in integrated reporting is emphasised.

Through its focus on human agency, this study applied institutional work to integrated reporting, thereby expanding literature on integrated reporting and the roles performed by accountants in this process. This study also contributes to the conceptualisation of maintaining institutions strategies through the development of the cooperative strategy.

Technology is widely recognised to be revolutionising the accounting profession, allowing accountants to focus on professional skills and technical knowledge that deliver value for organisational success. Despite the known benefits, it is reported that accountants are not fully leveraging the potential value of certain technologies. To understand why, this study aims to draw on the technology adoption model (TAM) and investigates accounting professionals’ perceptions towards technology, and how these may influence adoption at work.

The study gathered online survey data from 585 accounting managers from organisations of varying sizes and in different sectors in Australia and parts of Southeast Asia. Qualitative data were thematically analysed, and quantitative data were analysed using both descriptive and multivariate techniques.

The study highlighted the pivotal role of staff perceptions on the importance and ease of using technology on the uptake and successful usage. Findings emphasised important opportunities for organisations to educate accounting staff on the value of technology and optimise their confidence and skills through training and support initiatives, particularly smaller businesses. Marked differences in the orientation towards technology among Australian and Southeast Asian participants illuminate how national work culture and practice can influence technology adoption.

The study makes a practical contribution by advancing the understanding of the relative importance and value of certain technologies in different regions and organisation types in the accounting profession. It extends the theoretical understanding of the role of TAM’s core elements to the accounting context, exploring staff’s notions of perceived usefulness and perceived ease of use from the manager’s perspective.