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Accountants are looking for innovative solutions to challenges and problems that seem to become increasingly numerous and complicated. Researchers debate whether the emergence of these challenges is due to a general dissatisfaction with the existing accounting paradigm. This article therefore presents a transdisciplinary approach aimed at creating a new accounting paradigm. The discipline of accounting is challenged by blending the limitations within the present paradigm with the discoveries in physics and quantum mechanics. This study shifts the attention to those aspects of reality that characterise today’s accelerated social change, disorder, instability, diversity, disequilibrium and non‐linear relationships – all with a heightened sensitivity to the flow of time. By interpreting financial accounting and reporting from this perspective, new perspectives are offered from a holistic paradigm of transcendence in relation to the arrow of time and information capacity.

To achieve a full understanding of the role of marketing from plan to profit requires a knowledge of the basic building blocks. This textbook introduces the key concepts in the art or science of marketing to practising managers. Understanding your customers and consumers, the 4 Ps (Product, Place, Price and Promotion) provides the basic tools for effective marketing. Deploying your resources and informing your managerial decision making is dealt with in Unit VII introducing marketing intelligence, competition, budgeting and organisational issues. The logical conclusion of this effort is achieving sales and the particular techniques involved are explored in the final section.

The advent of artificial intelligence (AI) in the accounting landscape marks a significant shift, promising gains in efficiency and accuracy but also eliciting concerns about job displacement (JD) and broader socio-economic implications. This study aims to provide an in-depth understanding of how AI’s integration in accounting contributes to JD, reshapes decision-making processes and reverberates across economic and social dimensions. It also offers evidence-based policy recommendations to mitigate adverse outcomes.

Leveraging a cross-sectional survey disseminated through Facebook, this research used snowball sampling to target a diverse cohort of accounting professionals. The collected data were subjected to meticulous analysis through descriptive and regression models, facilitated by SmartPLS 4 software.

The analysis revealed a significant correlation between AI’s increasing role in accounting and a heightened rate of JD. This study found that this displacement is not isolated; it has tangible repercussions on decision-making paradigms, economic well-being, professional work dynamics and social structures. These insights corroborate existing frameworks, including, but not limited to, theories of technological unemployment and behavioural adjustments.

Although providing valuable insights, this study acknowledges limitations such as the restricted sample size, the cross-sectional nature of the survey and the inherent biases of self-reported data. Future research could aim to extend these initial findings by adopting a longitudinal approach and potentially integrating external data sources.

As AI technology becomes increasingly ingrained in accounting practices, there is an urgent need for coordinated action among stakeholders. Policy recommendations include focused efforts on talent retention, investment in upskilling programs and the establishment of support mechanisms for those adversely affected by AI adoption.

By synthesising a range of theoretical perspectives, this study offers a comprehensive exploration of AI’s multi-dimensional impacts on the accounting profession. It stands out for its nuanced examination of JD and its economic and social implications, thereby contributing to both academic discourse and policy formulation. This work serves as an urgent call to action, highlighting the need for strategies that both exploit AI’s potential benefits and protect the workforce from its disruptive impact.

The strategic management literature emphasizes the concept of business intelligence (BI) as an essential competitive tool. Yet the sustainability of the firms’ competitive advantage provided by BI capability is not well researched. To fill this gap, this study attempts to develop a model for successful BI deployment and empirically examines the association between BI deployment and sustainable competitive advantage. Taking the telecommunications industry in Malaysia as a case example, the research particularly focuses on the influencing perceptions held by telecommunications decision makers and executives on factors that impact successful BI deployment. The research further investigates the relationship between successful BI deployment and sustainable competitive advantage of the telecommunications organizations. Another important aim of this study is to determine the effect of moderating factors such as organization culture, business strategy, and use of BI tools on BI deployment and the sustainability of firm’s competitive advantage.

This research uses combination of resource-based theory and diffusion of innovation (DOI) theory to examine BI success and its relationship with firm’s sustainability. The research adopts the positivist paradigm and a two-phase sequential mixed method consisting of qualitative and quantitative approaches are employed. A tentative research model is developed first based on extensive literature review. The chapter presents a qualitative field study to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. The study includes a survey study with sample of business analysts and decision makers in telecommunications firms and is analyzed by partial least square-based structural equation modeling.

The findings reveal that some internal resources of the organizations such as BI governance and the perceptions of BI’s characteristics influence the successful deployment of BI. Organizations that practice good BI governance with strong moral and financial support from upper management have an opportunity to realize the dream of having successful BI initiatives in place. The scope of BI governance includes providing sufficient support and commitment in BI funding and implementation, laying out proper BI infrastructure and staffing and establishing a corporate-wide policy and procedures regarding BI. The perceptions about the characteristics of BI such as its relative advantage, complexity, compatibility, and observability are also significant in ensuring BI success. The most important results of this study indicated that with BI successfully deployed, executives would use the knowledge provided for their necessary actions in sustaining the organizations’ competitive advantage in terms of economics, social, and environmental issues.

This study contributes significantly to the existing literature that will assist future BI researchers especially in achieving sustainable competitive advantage. In particular, the model will help practitioners to consider the resources that they are likely to consider when deploying BI. Finally, the applications of this study can be extended through further adaptation in other industries and various geographic contexts.

This study investigates the impact of AI finance on financing constraints of non-SOE firms in an emerging market.

Using a sample of non-SOE listed companies in China from 2011 to 2018, this research employs the cash–cash flow sensitivity model to examine the effect of AI finance on financing constraints of non-SOE firms.

We find that the development of AI finance can alleviate the financing constraints of non-SOE firms. Further, we document that such effect is more pronounced for smaller firms, more innovative firms and firms in developing areas.

This study suggests that emerging market countries can ease the financing constraints of non-SOE firms by promoting AI finance development.

This study, to the best of our knowledge, is the first one to explore the relationship between AI finance development and financing constraints of non-SOE firms in emerging markets.

This special “Anbar Abstracts” issue of the Marketing Intelligence & Planning is split into seven sections covering abstracts under the following headings: Marketing Strategy; Customer Service; Sales Management; Promotion; Marketing Research/Customer Behaviour; Product Management; Logistics and Distribution and Sundry.

Teacher-researchers carry out two singular, demanding and time-consuming, activities: research and teaching. Some, convinced of the cross-fertilization of these two activities, try to introduce elements of their research into their courses. This intention becomes a major challenge for interpretive and critical teacher-researchers in accounting who cannot rely on textbooks, mostly oriented for the mainstream. The purpose of this paper is to investigate how those teacher-researchers proceed to infuse their research into their courses.

This paper is an exploratory qualitative study based on interviews.

The results show three typical profiles that correspond to three ways of infusing research into courses, and how these profiles can evolve and combine.

The identification of teacher-researcher profiles allows categorization of how they infuse their research into their teaching. By listing the constraints imposed on teacher-researchers intending to infuse research, proposals for ways to overcome the identified constraints that hinder the cross-fertilization of research and teaching are suggested. The paper also reexamines the status of teachers-researchers in accounting who address a critical approach in their teaching.

The study aims to explore the changing landscape of accounting and the role of emerging technologies in the accounting environment. The author presents viewpoints on the influence of artificial intelligence (AI), machine learning (ML) and other subsets in accounting, emphasising the increasing need for and significance of these applications. The viewpoints could provide researchers and practitioners with a meaningful overview of knowledge and research agenda.

The role of emerging technologies in accounting and various opportunities and challenges in implementation are discussed. In addition, possible future research directions are identified.

The paper does not contain empirical findings.

This paper expresses the author’s viewpoints regarding the impact of AI and ML on the changing accounting environment.