David Rowe, Dean Jovic and Richard Reeves
Capital is key to any financial institution. Companies in other industries need capital to buy property and production equipment. For financial institutions, the primary function…
Abstract
Capital is key to any financial institution. Companies in other industries need capital to buy property and production equipment. For financial institutions, the primary function of capital is to cover unexpected credit and market risks losses, because risk of such losses inevitably accompanies a bank’s core business of lending money and making markets. David Rowe, Dean Jovic and Richard Reeves explain why it is crucial for financial institutions to build an advanced economic capital framework and how that plays into current initiatives to implement the Basel II Capital Accord.
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DAVID ROWE, DEAN JOVIC and RICHARD REEVES
Capital matters to most corporations in free markets, but there are differences. Companies in non‐financial industries need equity capital mainly to support funding to buy…
Abstract
Capital matters to most corporations in free markets, but there are differences. Companies in non‐financial industries need equity capital mainly to support funding to buy property and to build or acquire production facilities and equipment to pursue new areas of business. While this is also true for financial institutions, their main focus is somewhat different. Banks actively evaluate and take risks on a daily basis as part of their core business processes. For example, the commercial lending business inherently involves weighing the credit risk of new loans and their associated mitigates. This involves analysis of the credit quality of the underlying obligor, the effectiveness of guarantees, collateral, cross‐default and other forms of credit protection. Today, however, best practice does not stop there. It also is necessary to evaluate the impact of portfolio diversification (e.g. in terms of geographical or industry concentration of exposures) and the degree of correlation among exposures on the bank's balance sheet. Another example is trading activity whereby a bank benefits from high trading volumes (by earning the bid/ask spread) and hopes to gain from proprietary net positions, but must bear some degree of market risk in the process.
Latisha Reynolds, Amber Willenborg, Samantha McClellan, Rosalinda Hernandez Linares and Elizabeth Alison Sterner
This paper aims to present recently published resources on information literacy and library instruction providing an introductory overview and a selected annotated bibliography of…
Abstract
Purpose
This paper aims to present recently published resources on information literacy and library instruction providing an introductory overview and a selected annotated bibliography of publications covering all library types.
Design/methodology/approach
This paper introduces and annotates English-language periodical articles, monographs, dissertations and other materials on library instruction and information literacy published in 2016.
Findings
The paper provides information about each source, describes the characteristics of current scholarship and highlights sources that contain unique or significant scholarly contributions.
Originality/value
The information may be used by librarians and interested parties as a quick reference to literature on library instruction and information literacy.
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Silvia Profili, Laura Innocenti and Alessia Sammarra
The age diversity climate construct is gaining greater attention in the organizational literature due to the demographic changes in the workplace. While the few existing studies…
Abstract
The age diversity climate construct is gaining greater attention in the organizational literature due to the demographic changes in the workplace. While the few existing studies on age diversity climate (ADC) are rather encouraging, this construct is still at an early stage of conceptual and operational development. This chapter helps to advance this field of research by analyzing the conceptual issues stemming from the theoretical definition and empirical measurement of the ADC construct. We first review and compare ADC with other age-focused climate concepts, highlighting overlapping and diverging factors regarding their conceptual framework and operationalization. Subsequently, we consider several open issues related to the operationalization of ADC, including the level of analysis, the choice of referent, and the dimensions of analysis. We conclude the chapter by outlining possibilities for future research on ADC.
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The purpose of this paper is to present an empirical study on the effect of two synthetic attributes to popular classification algorithms on data originating from student…
Abstract
Purpose
The purpose of this paper is to present an empirical study on the effect of two synthetic attributes to popular classification algorithms on data originating from student transcripts. The attributes represent past performance achievements in a course, which are defined as global performance (GP) and local performance (LP). GP of a course is an aggregated performance achieved by all students who have taken this course, and LP of a course is an aggregated performance achieved in the prerequisite courses by the student taking the course.
Design/methodology/approach
The paper uses Educational Data Mining techniques to predict student performance in courses, where it identifies the relevant attributes that are the most key influencers for predicting the final grade (performance) and reports the effect of the two suggested attributes on the classification algorithms. As a research paradigm, the paper follows Cross-Industry Standard Process for Data Mining using RapidMiner Studio software tool. Six classification algorithms are experimented: C4.5 and CART Decision Trees, Naive Bayes, k-neighboring, rule-based induction and support vector machines.
Findings
The outcomes of the paper show that the synthetic attributes have positively improved the performance of the classification algorithms, and also they have been highly ranked according to their influence to the target variable.
Originality/value
This paper proposes two synthetic attributes that are integrated into real data set. The key motivation is to improve the quality of the data and make classification algorithms perform better. The paper also presents empirical results showing the effect of these attributes on selected classification algorithms.
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James C. Brau, John Gardner, Hugo A. DeCampos and Krista Gardner
Blockchain technology offers numerous venues for supply chain applications and research. However, the connections between specific blockchain features and future applications have…
Abstract
Purpose
Blockchain technology offers numerous venues for supply chain applications and research. However, the connections between specific blockchain features and future applications have been unclear to date in its evolution. The purpose of this study is to fill this void.
Design/methodology/approach
The authors advance the understanding of blockchain in supply chain management by providing a new research framework built on unique blockchain features as applied across core supply chain functions.
Findings
This study’s framework is a feature-function matrix that integrates four overarching supply chain functions (i.e. supplier management, logistics, production processes and customer management) with nine blockchain features (i.e. traceability/provenance, accessibility, visibility, immutability, distributed/shared ledger, validity, peer-to-peer transacting, pseudonymity and programmability). This study’s feature-function framework is supported by a structured, systematic review of reviews using PRISMA methods. The authors use the framework to present a future blockchain research agenda in supply chain management.
Originality/value
The authors provide a new blockchain feature/supply chain function framework and provide a structured path for future research.
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Kasun Gomis, Mandeep Saini, Chaminda Pathirage and Mohammed Arif
The need to enhance student support is evident in higher education (HE) curricula. In addition to the complications created by the COVID-19 pandemic, the current strategies used…
Abstract
Purpose
The need to enhance student support is evident in higher education (HE) curricula. In addition to the complications created by the COVID-19 pandemic, the current strategies used in academia are criticised for their lack of appropriate student support in HE. The study focused on the themes under Section 4 of the National Student Survey (NSS): availability to contact tutors, receiving good advice and guidance and availability of good advice. The study aimed to provide recommendations for enhancing academic support by developing drivers that need implementation during course delivery.
Design/methodology/approach
A documental analysis and a qualitative survey were adopted for this study. A documental analysis of 334 mid-module reviews (MMRs) from levels three to six students in the built environment (BE) discipline. Critical themes identified from the MMRs were fed forward in developing a questionnaire for academics. A sample of 23 academics, including a Head of school, a Principal lecturer, Subject leads and Lecturers, participated in the questionnaire survey. Content analysis is adopted through questionnaire data to develop drivers to enhance academic support in BE. These drivers are then modelled by interpretive structural modelling (ISM) to identify their correlation to NSS Section 4 themes. A level partition analysis establishes how influential they are in enhancing academic support.
Findings
The study identified nine drivers, where two drivers were categorised as fundamental, two as significant, four as important, and one insignificant in enhancing academic support in HE. Module leaders’/tutors’ improving awareness and detailing how academic support is provided were identified as fundamental. Differentiating roles in giving advice and the importance of one-to-one meetings were identified as significant. A level partitioning diagram was developed from the nine drivers to illustrate how these drivers need to be implemented to promote the best practices in academic support in HE.
Practical implications
The identified drivers and their categories can be used to set prioritised guidelines for academics and other educational institutions to improve students’ overall satisfaction.
Originality/value
Novelty from the study will be the developed drivers and the level partitioning diagram to assist academics and academic institutions in successfully integrating academic support into HE curricula.
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Marek Gnusowski and Raymond P. Fisk
This article proposes a set of three service standards for serving humanity; develops the Agency, Dignity and Diversity (ADD) Service Standards Framework; integrates these…
Abstract
Purpose
This article proposes a set of three service standards for serving humanity; develops the Agency, Dignity and Diversity (ADD) Service Standards Framework; integrates these standards with human experience; and then applies this framework to refugee service experiences.
Design/methodology/approach
Building on Transformative Service Research (TSR), we propose service standards for humanity and connect these standards to elevating the human experience. Subsequently, the ADD Service Standards Framework for serving humanity is presented and applied to the human experiences of refugees.
Findings
Three service standards for serving humanity are proposed: empowering human agency, respecting human dignity and honoring human diversity. Further, we apply these three standards to offer a set of standard-specific practical actions adapted to the plight of refugees.
Practical implications
The practical implications affect all aspects of humanity’s service systems. Service standards should be universal, responsive to various needs of individuals and groups and adaptable to changing needs.
Originality/value
This paper contributes service standards for guiding service systems of any kind in serving humanity and provides a comprehensive framework for designing and implementing service standards that can elevate the human experience.
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Mohamed Battour, Khalid Mady, Mohamed Salaheldeen, Ririn Tri Ratnasari, Ramzi Sallem and Saleh Al Sinawi
The huge Muslim population has increased the demand for halal tourism products and destination factors in this niche tourism segment. Despite the growing body of research…
Abstract
Purpose
The huge Muslim population has increased the demand for halal tourism products and destination factors in this niche tourism segment. Despite the growing body of research conducted regarding ChatGPT’s revolutionary impact on the tourism industry, the use of such an artificial intelligence (AI) tool in halal tourism needs more attention. This study aims to provide a comprehensive an overview of using ChatGPT in the tourism industry, specifically in halal tourism, and offer an agenda for further essential research questions exploration.
Design/methodology/approach
Through the intensive examination of the tourism literature dealing with AI and halal tourism, this review identifies the implications related to the use of ChatGPT for Muslim travelers and future trends in halal tourism.
Findings
This paper identified the possible utilization of ChatGPT in assisting Muslim travelers across various stages of their journey, encompassing pre-trip, staying and post-trip phases. Subsequently, this paper identified the opportunities and challenges associated with implementing ChatGPT in the context of halal tourism. Finally, the paper delves into potential avenues for future research.
Practical implications
The findings serve as crucial implications, contributing to the theory of halal tourism development and the applications of ChatGPT in halal tourism.
Originality/value
This paper provides essential foundational knowledge for upcoming research on halal tourism theory, ChatGPT and the development of halal tourism sector.