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This literature review aims to portray the thematic landscape of the Pacific Accounting Review (PAR) from 2013 to 2023. This paper also synthesises the special issues in PAR and identifies the main research streams that facilitate contemplating the dialogic interactions between PAR and real-world challenges. Furthermore, this paper aligns these streams with the emerging concerns in Sustainable Development Goals (SDGs) and technological disruptions to propose impactful future directions for publications in PAR.

This review adopts bibliometric analysis to establish the main research streams and objective measures for directing future publications. This paper acquires the data of 310 PAR articles from the Web of Science and ensure the data integrity before the analysis. Based on this technique, this paper also analyses PAR’s productivity, authorship and local and global impacts.

Our bibliometric analysis reveals three key research streams: (1) ESG practices and disclosures, (2) informal institutions in accounting and (3) accounting in transition. This finding affirms PAR’s relevance to real-world accounting challenges. Using a thematic map, this paper portrays the current state of PAR’s topics to identify potential directions for future publications. Further, this paper proposes three future paths for PAR: (1) the research agenda for non-financial reporting, (2) research relating to and from diverse countries considering both formal and informal contemporary contextual factors and (3) the future of the evolving accounting profession.

This study adds value to the existing PAR reviews by extending our knowledge with the latest publications, demonstrating an objective and replicable approach, and offering future directions for PAR publications.

This study aims to develop an original conceptual framework to guide research into knowledge transmission between professional external knowledge providers and their business clientele. As such, the framework aims to bridge a gap between theory and practice by explicating the processes which affect knowledge transmission and the conversion of knowledge for business application (i.e. knowledge transference).

Key concepts from disciplines of knowledge management, information management, communications, services marketing and business advice are reviewed and integrated into the development of this framework. Underpinned by a critical realist philosophical lens, it provides a robust research guide for examining business advisor knowledge actions in a changing open environment.

This study identifies that the process of knowledge transmission from a source external to a business is more complex than internal knowledge sharing. It addresses this complexity through a knowledge transmission framework, in a research design that is applicable to any methodological paradigm. Real-world application is identified in its applicability for evaluating mechanisms to facilitate knowledge transmission practices of external advisors to small business in regionally isolated communities.

The critical realist research methodology allows for causality in knowledge transmission to emerge; however, no assertion is made that the conceptual framework developed needs any particular philosophical paradigm for its application. Instead, what is asserted is that the research framework developed in this paper is specifically suited to the characteristics of external knowledge providers, their tacit knowledge and the businesses they service.

This study reconceptualises various theoretical perspectives and develops a sequential process for addressing a research lacuna by specifically examining the processes (or connections) between external business advisor’s knowledge and their advisory actions. With these processes clearly established, the role of external knowledge providers, as knowledge transmitters, deepens the understanding of knowledge transference that up until now has focused typically on internal organisation aspects.

The purpose of this paper is to examine the concept of agency on basis of a pragmatist philosophy framework of analysis. Agency is a key analytical concept in management studies, debated in terms of its theoretical elements and its degree of empirical substantiation. Agency is commonly either assumed to be the case, understood as some generic human capacity to act with integrity, or, alternatively, agency is considered to be derived from social structures, say professional norms or occupational identities acquired through socialization. In contrast, in an attempt to escape the agency/structure model, agency may be considered as what is generated in and through meso-level interactions, constituted as recurrent practices wherein accomplishments in the past serve as the template for new activities that further reinforce agential capacities.

Drawing on the work of pragmatist philosopher Donald Davidson and what he calls the principle of charity, this paper presents an analytical model wherein agency is generated on basis of a shared everyday language wherein beliefs and preferences are constituted and thereafter serve as the basis of agential action.

Davidson’s externalist theory of action is supportive of the theory and study of meso-level interactions and helps to overcome the question whether agency is exogenously given or the effect of social structure.

This paper reviews recent social science literature on agency and introduces pragmatist philosophy concepts to better examine under what conditions social actors can reasonably have faith in an interaction being premised on beliefs that are held on basis of rational and reasonable grounds. This adds to an integrated theory of agency, being of importance for social theory and organizational analysis more specifically.

This chapter explores the role of artificial intelligence (AI), particularly its subfield of machine learning (ML) methods, as a core technology of the fintech revolution in the financial services industry. It simplifies some of the complex concepts related to AI by introducing the main ML paradigms and related techno-methodic aspects. This chapter uses real-world examples to illustrate how next-generation AI powered by ML is transforming the financial services industry. Next, in illustrating the risks associated with AI adoption, this chapter discusses the need for regulation to address the essential facets of AI governance, including transparency, accountability, ethics, and responsible use. Lastly, it looks at emerging regulatory approaches across leading global jurisdictions. The primary goal is to give readers an initial understanding of AI's profound impact on the financial sector.

This paper evaluates the precision of four metasearch engines (MSEs) – DuckDuckGo, Dogpile, Metacrawler and Startpage, to determine which metasearch engine exhibits the highest level of precision and to identify the metasearch engine that is most likely to return the most relevant search results.

The research is divided into two parts: the first phase involves four queries categorized into two segments (4-Q-2-S), while the second phase includes six queries divided into three segments (6-Q-3-S). These queries vary in complexity, falling into three types: simple, phrase and complex. The precision, average precision and the presence of duplicates across all the evaluated metasearch engines are determined.

The study clearly demonstrated that Startpage returned the most relevant results and achieved the highest precision (0.98) among the four MSEs. Conversely, DuckDuckGo exhibited consistent performance across both phases of the study.

The study only evaluated four metasearch engines, which may not be representative of all available metasearch engines. Additionally, a limited number of queries were used, which may not be sufficient to generalize the findings to all types of queries.

The findings of this study can be valuable for accreditation agencies in managing duplicates, improving their search capabilities and obtaining more relevant and precise results. These findings can also assist users in selecting the best metasearch engine based on precision rather than interface.

The study is the first of its kind which evaluates the four metasearch engines. No similar study has been conducted in the past to measure the performance of metasearch engines.