Search results

The symbol‐based epistemology used in artificial intelligence is contrasted with the constructivist, coherence epistemology promoted by cybernetics. The latter leads to bootstrapping knowledge representations, in which different parts of the system mutually support each other. Gordon Pask’s entailment meshes are reviewed as a basic application of this approach, and then extended to entailment nets: directed graphs governed by the “bootstrapping axiom”, determining which concepts are to be distinguished or merged. This allows a constant restructuring of the conceptual network. Semantic networks and frame‐like representations can be expressed in this scheme by introducing a basic ontology of node and link types. Entailment nets are then generalized to associative networks with weighted links. Learning algorithms are presented which can adapt the link strengths, based on the frequency with which links are selected by hypertext users. It is argued that such bootstrapping methods can be applied to make the World Wide Web more intelligent, allowing it to self‐organize and support inferences.

In today's advanced economy, there is a broader presence of information revolution, such as artificial intelligence (AI). AI primarily drives modern banking, leading to innovative banking channels, services and solutions disruptions. Thus, this chapter intends to determine AI's place in contemporary banking and stock market trading.

Stock market forecasting is hampered by the inherently noisy environments and significant volatility surrounding market trends. There needs to be more research on the mantle of AI in revolutionising banking and stock market trading. Attempting to bridge this gap, the present research study looks at the function of AI in banking and stock market trading.

The researchers have synthesised the literature pool. They undertook a systematic review and meta-synthesis method by identifying the major themes and a systematic literature review aided in the critical analysis, synthesis and mapping of the body of existing material.

The study's conclusions demonstrated the efficacy of AI, which has played a robust role in banking and finance by reducing risk and operational costs, enabling better customer experience, improving regulatory complaints and fraud detection and improving credit and loan decisions. AI has revolutionised stock market trading by forecasting future prices or trends in financial assets, optimising financial portfolios and analysing news or social media comments on the assets or firms.

AI's debut in banking and finance has brought sea changes in banking and stock market trading. AI in the banking industry and capital market can provide timely and apt information to its customers and customise the products as per their requirements.

This paper's purpose is to describe an investigation of whether the addition of an interlibrary loan link as an option in the OpenURL link resolver menu has an effect on interlibrary loan requests for articles.

Four years of link resolver clickthrough data were analyzed in conjunction with ten years of interlibrary loan article request data.

The data showed that requests to ILL increased at first, then fell, and then rose again. There is a correlation between link resolver clickthroughs and ILL requests.

This paper employed data gathered over a longer time period than previous research on this topic and thus provides a broader exploration of the effect of providing links to ILL through a link resolver. While most OpenURL clickthrough data employed in research are gathered from the SFX OpenURL resolver, here the authors used WebBridge.

This paper offers an example of how non‐SFX institutions can employ clickthrough data to explore issues such as user behavior with regard to ILL.

Hard project management practices, based on strict planning and control, are traditionally applied in construction projects, although research frequently promotes the importance of teams for various project outcomes. Thus, the purpose of this paper is to examine the importance of hard project management and team motivation for process performance in construction projects. A hypothesis tested is that hard project management can impair process performance if team motivation is not promoted.

The paper presents and empirically tests a structural equation model, with and without a mediating link between hard project management and process performance, based on data from a survey of 2,175 respondents, representing contractors and clients involved in 109 Swedish construction projects.

The results confirm that hard project management is best conveyed through teams to enhance process performance. “Path analysis,” using the model with the mediating link, confirms that neglecting team motivation can significantly impair process performance.

The data set provides unusually high representation of views of contractors and clients involved in diverse Swedish construction projects. Thus, the results have likely relevance in other project-based industries and/or national settings, but this possibility requires further investigation.

The findings show that team motivation is a key process performance factor; hard project management may indeed be important, but its effects will be enhanced by (and partially mediated through) team motivation. Thus, the findings have important theoretical and practical implications for the development of project management practices.

This paper analyses how firm births and deaths are influenced by previous firm births and deaths in related and unrelated sectors. Competition and multiplier effects are used as the theoretical lens for this analysis.

This paper uses 2008–2016 Irish business demography data pertaining to 568 NACE 4-digit sectors within 20 NACE 1-digit industries across 34 Irish county and sub-county regions within 8 NUTS3 regions. A three-stage least squares (3SLS) estimation is used to analyse the impact of past firm deaths (births) on future firm births (deaths). The effect of relatedness on firm interrelationships is explicitly modelled and captured.

Findings indicate that the multiplier effect operates mostly through related sectors, while the competition effect operates mostly through unrelated sectors.

This paper's findings show that firm interrelationships are significantly influenced by the degree of relatedness between firms. The raw data used to calculate firm birth and death rates in this analysis are count data. Each new firm is measured the same as another regardless of differing features like size. Some research has shown that smaller firms have a greater propensity to create entrepreneurs (Parker, 2009). Thus, it is possible that the death of differently sized firms may contribute differently to multiplier effects where births induce further births. Future research could seek to examine this.

These findings have implications for policy initiatives concerned with increasing entrepreneurship. Some express concerns that public investment into entrepreneurship can lead to “crowding out” effects (Cumming and Johan, 2019), meaning that public investment into entrepreneurship could displace or reduce private investment into entrepreneurship (Audretsch and Fiedler, 2023; Zikou et al., 2017). This study’s findings indicate that using public investment to increase firm births could increase future firm births in related and unrelated sectors. However, more negative “crowding out” effects may also occur in unrelated sectors, meaning that public investment which stimulates firm births in a certain sector could induce firm deaths and crowd out entrepreneurship in unrelated sectors.

This paper is the first in the literature to explicitly account for the role of relatedness in firm interrelationships.

In a dual financial system where both conventional and Islamic financial institutions co-exist, the motives behind customers’ choices of financial products remain a crucial factor to comprehend. Thus, this paper aims to examine the influence of Islamic financial literacy (IFL) and motives (religious, ethical and economic) on the holdings of Islamic financial products (IFPs).

The sample consists of 234 bank customers in Klang Valley, Malaysia, with data obtained through a convenience sampling method. The instrument used was a digital survey that was electronically sent to respondents.

Findings reveal that IFL and religious motives positively influence IFPs, whereas economic motives negatively influence IFPs. Ethical motives have no significant impact on IFPs.

The findings imply that IFPs attract customers due to their adherence to Islamic teachings, indicating strong religious motives. However, the negative leanings of the economic motive suggest that customers may perceive IFPs as less favourable due to higher costs and risks relative to conventional products. Islamic financial institutions must widen their efforts in educating the public regarding IFPs on the benefits of adherence to Shariah principles and at the same time improve their products’ cost-benefits.

This study contributes to the literature by comprehensively examining IFPs in terms of both assets and financing products. In addition, IFL is measured in an all-inclusive way, covering different dimensions of knowledge related to Islamic savings, investments, protection and financing.

This study aims to identify the determinants of the expectation gap between financial statement users (investors and bankers) and auditors from a developing country perspective with Cameroon as the case study.

This study makes use of the survey instrument to identify the determinants of the expectation gap in Cameroon. The research method and research design used for this study are similar to that adopted in Schelluch, Best et al., Fadzly and Ahmed, Desira and Baldacchino and Dixon et al.

The results indicate that audits and audited financial statements and auditors’ skills are good predictors of the audit expectation gap (AEG), whereas gender, years of experience and occupation (investors and accountants) do not have any significant influence on the AEG. It follows that the expectation gap is further widened by an increase in the regulation and duties of auditors concerning the reliability and usefulness of audits and audited financial statements and auditors’ skills.

A limitation of this study is the sample size, which is limited in scope, with only 400 potential respondents. In addition, this study adopted a survey method used in countries with different economic views and cultural values from Cameroon.

This study contributes to current knowledge by identifying the determinants of the expectation gap in Cameroon, thus facilitating the adoption of measures aimed at mitigating this gap such as educating the Cameroonian public on the auditors’ duties, especially each time a new audit regulation is adopted. The paper is a critical reference point for future research on the subject in Cameroon.

This study contributes to the expectation gap discourse by uncovering the determinants of the expectation gap from a developing country perspective of Cameroon with a different economic and cultural outlook.