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This study aims to analyze the distribution of novelty among scholarly papers in the field of library and information science (LIS) in China. Specifically, this study explores the distribution of novelty of papers in various journals, research topics and different periods. It is possible to understand the characteristics of LIS research in China and what factors have influenced it.

This paper collects articles published in Chinese library science journals indexed by the Chinese Social Sciences Citation Index from 2000 to 2022. The BERTopic model is used based on abstracts of the papers and to obtain the topic of each paper. Based on the combination innovation theory of reference pairs cited by focal papers, novelty scores of all papers are calculated. Next, this paper analyzes the novelty of papers under different topics. Finally, this paper analyzes the differences in author collaboration patterns across various topics, aiming to explain how these differences relate to the novelty of papers from a collaborative perspective.

This study shows that archival research topics have lower novelty than papers on journal evaluation and patent technology in Chinese LIS. Research papers in this field are gradually becoming more novel over time. Papers on different topics and with varying degrees of novelty exhibit distinct author collaboration patterns, with low-novelty topics more frequently featuring solo authorship, while high-novelty topics tend to involve a higher percentage of inter-institutional collaboration.

This study investigates the novelty characteristics of research papers on different topics in the field of LIS in China. The authors’ contribution includes visualizing research hotspots and trends in the field and analyzing authors’ collaboration patterns at the level of research topics, thereby providing new perspectives on the factors affecting the novelty of these papers.

This study aims to identify key research clusters (or sub-fields) in the field of performance measurement research, analyse its historical development and propose future research avenues.

Several bibliometric analysis methods, including co-citation analysis and text mining techniques, were used to review papers published on performance measurement research.

This study reveals eight main clusters of research in this field, ranging from theoretical-focused clusters (e.g. strategic performance measurement) to practical-focused clusters (e.g. design of performance measurement). These clusters are further categorised into four groups based on the size and degree of connectedness. Regarding the analysis of historical development, the established clusters, such as supply chain management, remain important, while newer clusters, such as hospitality and humanitarianism, have recently gained increasing interest.

This study applies citation-based clustering, a type of bibliometric literature review method that has been underused in the field of performance measurement. Moreover, the results obtained from this study are also distinct from those of previous studies, offering valuable insights especially for researchers. With a comprehensive understanding of the field, researchers can use it to understand the key literature, observe ongoing developments within their specialisation and inform their future research directions.

Evaluating project success within the construction industry presents challenges due to the unique characteristics of the sector, the complexity of projects, and the involvement of diverse stakeholders. Conducting a bibliometric analysis, this paper aims to unravel the major research themes and methodologies utilised by researchers in studying the critical success criteria for construction projects, as well as extracting these success criteria.

The researchers systematically searched and screened 95 papers from Scopus and Web of Science (WoS) databases. This study conducted research focus parallelship network (RFPN) analysis and keywords co-occurrence network (KCON) analysis using BibExcel and Gephi to cluster the papers, illuminate the relationships among keywords within each cluster, and identify the primary research directions.

Using the RFPN analysis, this study classified the papers into three distinct clusters: infrastructure and public projects success, risk and knowledge management, and contractors and procurement management. Statistical techniques such as structural equation modelling (SEM) and multi-criteria decision-making methods such as analytic hierarchy process (AHP) have been used to analyse project success in the construction industry.

Considering the intensified demand for streamlined digital interactions and the increasing emphasis on sustainability and safety performance, construction companies are recommended to allocate greater investments toward the automation and digitisation of their products and processes. Prioritising modular construction and embracing transformative technologies alongside data science is crucial for enabling well-informed decision-making, and enhancing project success.

This study contributes to the existing body of knowledge by conducting a quantitative and systematic evaluation of the literature on project success criteria in the construction industry and uncovering key research areas. It addresses the pressing need to understand the complexities of construction projects amidst evolving industry dynamics and emerging disruptions. Moreover, by highlighting the implications of digital innovations and modular construction, this study urges deeper exploration into their impact on project performance and stakeholder satisfaction. This research sets a comprehensive framework for investigating the interplay between project complexity, technological advancements, and sustainable practices in the construction sector, paving the way for strategic advancements in the field.

Objectively evaluating the fairness of the algorithm, exploring in specific scenarios combined with scenario characteristics and constructing the algorithm fairness evaluation index system in specific scenarios.

This paper selects marketing scenarios, and in accordance with the idea of “theory construction-scene feature extraction-enterprise practice,” summarizes the definition and standard of fairness, combs the application link process of marketing algorithms and establishes the fairness evaluation index system of marketing equity allocation algorithms. Taking simulated marketing data as an example, the fairness performance of marketing algorithms in some feature areas is measured, and the effectiveness of the evaluation system proposed in this paper is verified.

The study reached the following conclusions: (1) Different fairness evaluation criteria have different emphases, and may produce different results. Therefore, different fairness definitions and standards should be selected in different fields according to the characteristics of the scene. (2) The fairness of the marketing equity distribution algorithm can be measured from three aspects: marketing coverage, marketing intensity and marketing frequency. Specifically, for the fairness of coverage, two standards of equal opportunity and different misjudgment rates are selected, and the standard of group fairness is selected for intensity and frequency. (3) For different characteristic fields, different degrees of fairness restrictions should be imposed, and the interpretation of their calculation results and the means of subsequent intervention should also be different according to the marketing objectives and industry characteristics.

First of all, the fairness sensitivity of different feature fields is different, but this paper does not classify the importance of feature fields. In the future, we can build a classification table of sensitive attributes according to the importance of sensitive attributes to give different evaluation and protection priorities. Second, in this paper, only one set of marketing data simulation data is selected to measure the overall algorithm fairness, after which multiple sets of marketing campaigns can be measured and compared to reflect the long-term performance of marketing algorithm fairness. Third, this paper does not continue to explore interventions and measures to improve algorithmic fairness. Different feature fields should be subject to different degrees of fairness constraints, and therefore their subsequent interventions should be different, which needs to be continued to be explored in future research.

This paper combines the specific features of marketing scenarios and selects appropriate fairness evaluation criteria to build an index system for fairness evaluation of marketing algorithms, which provides a reference for assessing and managing the fairness of marketing algorithms.

Algorithm governance and algorithmic fairness are very important issues in the era of artificial intelligence, and the construction of the algorithmic fairness evaluation index system in marketing scenarios in this paper lays a safe foundation for the application of AI algorithms and technologies in marketing scenarios, provides tools and means of algorithm governance and empowers the promotion of safe, efficient and orderly development of algorithms.

In this paper, firstly, the standards of fairness are comprehensively sorted out, and the difference between different standards and evaluation focuses is clarified, and secondly, focusing on the marketing scenario, combined with its characteristics, key fairness evaluation links are put forward, and different standards are innovatively selected to evaluate the fairness in the process of applying marketing algorithms and to build the corresponding index system, which forms the systematic fairness evaluation tool of marketing algorithms.

The purpose of this study is to provide a systematic review of research development on auditing in the European Union over the past decade and suggest future research directions.

Following the PRISMA protocol, the authors systematically reviewed the relevant literature and conducted a qualitative content analysis of 107 studies on auditing in the European Union published between 2012 and 2023.

The results indicate increased auditing literature in the European Union from 2012 to August 2023. Around 40% of the papers were focused on six nations: Germany, Spain, Italy, the UK, Sweden and France. Additionally, 35.5% of papers have been published in three major journals: Accounting in Europe, International Journal of Auditing and the European Accounting Review. Moreover, 82.24% of papers used quantitative methods, with a few using qualitative or mixed methods. Also, most of the studies in the sample endorsed the European Union’s auditing reforms, which included implementing a cap on nonaudit fees and enhancing the independence of audit committees. Contrary to this viewpoint, multiple studies have expressed disagreement with enforcing a total prohibition on nonaudit services, as certain services can enhance auditing quality. Similarly, other studies have contested the necessity of mandatory auditor rotation every 10 years, citing the significant additional expenses associated with this practice. Finally, further studies supported the European Union’s decision to make the joint audit voluntary, as it is related to high audit fees and low audit quality.

The limitations of this research primarily stem from the authors’ choices in selecting the database and defining the criteria for searching the studied papers.

This paper offers valuable insights into the future research prospects in the European Union’s auditing field. Hence, this analysis can be helpful for researchers and practitioners in developing this field based on future research recommendations and the identified themes.

To the best of the authors’ knowledge, this paper is the first study to systematically review the developments of the European Union auditing literature over the past decade.

The purpose of this paper is to examine prominent issues and contributions from extant research and explore the literature on the services provided by Knowledge-Intensive Public Organizations (KIPOs) and its pursuit to achieve the United Nations (UN) 2030 Sustainable Development Goals (SDGs) (hereafter referred to as the UN 2030 SDGs agenda) amidst the challenges represented by COVID-19 pandemic. It emphasizes the crucial role of accounting in dealing with techniques and social and moral practices concerned with the sustainable utilization of resources. This paper also provides an overview of the other papers presented in this JPBAFM Special Issue and draws from their findings to scope out future impactful research opportunities in this area.

The design consists of a review and examination of the prior relevant literature and the other papers published in this JPBAFM Special Issue.

The paper identifies and summarizes three key research themes in the extant literature: the growth in the types of KIPO; the rise in the research approaches to study the provision of public services by KIPO in pursuit of the UN 2030 SDG agenda and the consequent call for developments in the accounting field; and unintended consequences during COVID-19 pandemic. It draws upon work within these research themes to set out four broad areas for future impactful research.

The value of this paper rests with collating and synthesizing several important research themes on the nature and unintended consequences of the UN 2030 SDG agenda, and the challenges represented by COVID-19 pandemic in the governance, management and accounting for KIPO and in prompting future extensions of this work through setting out areas for further innovative research within the field.

The research examined in this paper and the future research avenues proposed are highly relevant to the health sector, the judiciary, museums, research centers and the UN. The focus on accounting and accountability towards a broader spectrum of stakeholders calls for new avenues of study in the accounting field. They also offer important insights into matters of management, accounting, accountability, sustainability accounting and control more generally.

The research examined in this paper and the future research avenues proposed are highly relevant to the health sector, the judiciary, museums, universities, research centers and the UN. They also offer important insights into matters of management, accounting, accountability, sustainability accounting and control more generally.

This paper adds to vibrant existing streams of research in the area of KIPO by bringing together authors from different areas of accounting research for this JPBAFM Special Issue. In scoping out an agenda for impactful research approaches used to study the provision of public services by KIPO, this paper also draws attention to underexplored issues pertaining to extents such as the “lived experience” of personnel in the KIPO and envisioning what a future system of governance, management and accounting of SDG might look like.

This study aims to establish a reliable index to identify interdisciplinary breakthrough innovation effectively. We constructed a new index, the D_Div index, for this purpose.

The D_Div index incorporates the degree of interdisciplinarity in the breakthrough index. To validate the index, a data set combining the publication records and citations of Nobel Prize laureates was divided into experimental and control groups. The validation methods included sensitivity analysis, correlation analysis and effectiveness analysis.

The sensitivity analysis demonstrated the D_Div index’s ability to differentiate interdisciplinary breakthrough papers from various categories of papers. This index not only retains the strengths of the existing index in identifying breakthrough innovation but also captures interdisciplinary characteristics. The correlation analysis revealed a significant correlation (correlation coefficient = 0.555) between the interdisciplinary attributes of scientific research and the occurrence of breakthrough innovation. The effectiveness analysis showed that the D_Div index reached the highest prediction accuracy of 0.8. Furthermore, the D_Div index outperforms the traditional DI index in terms of accuracy when it comes to identifying interdisciplinary breakthrough innovation.

This study proposed a practical and effective index that combines interdisciplinary and disruptive dimensions for detecting interdisciplinary breakthrough innovation. The identification and measurement of interdisciplinary breakthrough innovation play a crucial role in facilitating the integration of multidisciplinary knowledge, thereby accelerating the scientific breakthrough process.

Can regional economic complexity improve the employment effect, and is the employment structure also affected by heterogeneity? In order to solve these doubts, this paper plans to carry out systematic theoretical analysis and quantitative tests on these problems.

Based on the macroeconomic data of 129 countries from 1995 to 2022, this paper empirically studies the impact of economic complexity on the employment effect and its mechanism channel by building relevant models.

The results show that regional economic complexity can significantly improve the employment effect of society. At the same time, regional economic complexity has an indirect positive role in promoting employment from two aspects: accumulating fiscal surplus and increasing the working-age population. The former can stimulate employment policies by increasing the government’s tax sources, while the latter can increase production specialization and complexity by stimulating demand and increasing employment. In addition, regional economic complexity will lead to job market differentiation, making the boundary between the service sector and the labor market between industry and agriculture and between the informal employment market and the formal employment more obvious, thus triggering the substitution effect of employment.

The possible innovations and marginal contributions of this paper are as follows: First, there are many studies on the influencing factors of employment or unemployment, and this paper provides a new research direction for the literature on the influencing factors of employment effect by using the concept of regional economic complexity for the first time. Second, this paper broadens the research perspective of the employment effect of regional economic complexity, divides the employment substitution effect of various sectors from the perspective of industrial structure and further analyzes the employment promotion effect of regional economic complexity.

This paper aims to propose a model of Zakah treatment for financial instruments. The model depends on the link between the financial assets and liabilities that emerge from a financial instrument contract.

The determination of Zakah on contemporary financial instruments is controversial, with various conflicting Fatwas being presented. This paper introduces a theoretical model that integrates Fiqh rules, accounting, finance and economic principles to propose a method for calculating Zakah on financial instruments. This theoretical model can be the foundation for future empirical and statistical testing.

The proposed model advocates omitting the financial assets/liabilities when determining the Zakah base for companies, as the Zakah burden relies on the owner of the real asset. The paper elaborates on the implementation of the model on debts, investments and cash accounts.

The paper does not investigate whether or not the accounting approach in dealing with financial contracts is deemed acceptable by Fiqh scholars, nor does it discuss whether or not this may affect the Zakah fatwas regarding these types of accounts.

The paper establishes a conceptual framework for the Zakah on financial assets. This will pave the way for future empirical research and testing to validate the framework in different contexts. In addition, if regulators adopt this model and apply it to all companies, it would promote fairness and justice at the national level.

The proposed model advocates omitting the financial assets/liabilities when determining the Zakah base for companies, as the Zakah burden relies on the owner of the real asset. The paper elaborates on the implementation of the model on debts, investments and cash accounts.

To the best of the authors’ knowledge, this is the first attempt to utilize the accounting approach in order to determine the amount of Zakah.

This paper aims to investigate the impact of quality loss in transit on e-commerce supply chain pricing, production and financing decisions.

The authors consider a Stackelberg game model with a supplier, logistics firm and e-commerce platform. The logistics firm is capital-constrained and obtains funding from the e-commerce platform by debt financing or equity financing. Through backward induction, this paper first solves the equilibrium results under the two financing schemes and then reveals the financing preferences of all parties.

The results demonstrate that equity financing reduces financing costs and promotes production significantly. However, it may also lead to overproduction, particularly in markets with poor profitability and high cost factors. When the percentage of product quality loss is large, equity financing is preferable. With the increasing of transportation level, the benefits of debt finance are steadily growing. In addition, equity financing is the Pareto dominant scheme for all firms under certain circumstances. The extensions consider hybrid financing and another quality loss type.

The paper derives the equilibrium solutions and financing preferences, then specifies the threshold for applying financing schemes. Provide guidance for logistics firms’ finance model innovation and core enterprise involvement in the logistics industry.

The paper investigates how logistics firms’ financing strategies are impacted by product quality loss.