Search results
1 – 10 of 15Financial disclosure manipulation is unethical and unlawful because it leads to less transparent reporting and harmful economic decisions based on misleading information. The…
Abstract
Purpose
Financial disclosure manipulation is unethical and unlawful because it leads to less transparent reporting and harmful economic decisions based on misleading information. The purpose of this paper is to provide a summary and synthesis of research covering financial disclosure misrepresentation via impression management (IM). Ultimately, this report proposes that virtuous managers may be well-suited to provide transparent, objective disclosure. By extension, virtuous managers may oversee profitable firms and improve capital market efficiency. Suggestions for future research are presented.
Design/methodology/approach
This is an academic literature review covering financial disclosure manipulation. The findings are viewed through the lens of Christian virtue ethics (CVE).
Findings
IM studies commonly focus on specific methods used to mislead disclosure readers. Antecedent and mitigation strategies are less commonly noted in the research. This paper presents and analyzes IM tools and antecedents. Mitigation approaches are considered through the lens of CVE. This report proposes that virtuous managers may be well-suited to provide transparent, objective disclosure. By extension, virtuous managers may oversee profitable firms and improve capital market efficiency.
Originality/value
This present study focuses on the antecedents of IM in financial disclosures and introduces a novel perspective to financial disclosure mitigation – CVE. Financial disclosure authors and readers, researchers, financial regulators and accounting standards setters may be interested in the findings presented in this study.
Details
Keywords
Volodymyr Novykov, Christopher Bilson, Adrian Gepp, Geoff Harris and Bruce James Vanstone
Machine learning (ML), and deep learning in particular, is gaining traction across a myriad of real-life applications. Portfolio management is no exception. This paper provides a…
Abstract
Purpose
Machine learning (ML), and deep learning in particular, is gaining traction across a myriad of real-life applications. Portfolio management is no exception. This paper provides a systematic literature review of deep learning applications for portfolio management. The findings are likely to be valuable for industry practitioners and researchers alike, experimenting with novel portfolio management approaches and furthering investment management practice.
Design/methodology/approach
This review follows the guidance and methodology of Linnenluecke et al. (2020), Massaro et al. (2016) and Fisch and Block (2018) to first identify relevant literature based on an appropriately developed search phrase, filter the resultant set of publications and present descriptive and analytical findings of the research itself and its metadata.
Findings
The authors find a strong dominance of reinforcement learning algorithms applied to the field, given their through-time portfolio management capabilities. Other well-known deep learning models, such as convolutional neural network (CNN) and recurrent neural network (RNN) and its derivatives, have shown to be well-suited for time-series forecasting. Most recently, the number of papers published in the field has been increasing, potentially driven by computational advances, hardware accessibility and data availability. The review shows several promising applications and identifies future research opportunities, including better balance on the risk-reward spectrum, novel ways to reduce data dimensionality and pre-process the inputs, stronger focus on direct weights generation, novel deep learning architectures and consistent data choices.
Originality/value
Several systematic reviews have been conducted with a broader focus of ML applications in finance. However, to the best of the authors’ knowledge, this is the first review to focus on deep learning architectures and their applications in the investment portfolio management problem. The review also presents a novel universal taxonomy of models used.
Details
Keywords
Ellie Norris, Shawgat Kutubi, Steven Greenland and Ruth Wallace
This research aims to examine the performativity of corporate reports as an example of an accounting inscription that can frame the relationship between Aboriginal and Torres…
Abstract
Purpose
This research aims to examine the performativity of corporate reports as an example of an accounting inscription that can frame the relationship between Aboriginal and Torres Strait Islander entities and their stakeholders. The framing and overflow effects of these reports have been explored to consider whether they strengthen or undermine the reputation and capability of these community-controlled entities.
Design/methodology/approach
Aligned with actor–network theory and a decolonising research protocol, qualitative interviews were conducted with senior managers and directors of Aboriginal and Torres Strait Islander entities and their key stakeholders to explore their experiences of corporate reporting. Additional analysis of these organisations' annual reports was conducted to corroborate key reporting themes.
Findings
This research has identified a dual role for corporate reporting, simultaneously framing performance against an expectation of failure, but with the potential for accounting inscriptions to highlight positive contributions to cultural and community priorities. It also indicates the need for sector specifics within the reporting frameworks and adequate resourcing for Aboriginal and Torres Strait Islander entities to meet reporting obligations.
Practical implications
This research makes policy-based recommendations in terms of user-driven and culturally informed performance measures. It also highlights the importance of adequate funding for Aboriginal and Torres Strait Islander entities to carry out meaningful performance evaluations beyond the preparation of financial statements.
Originality/value
One of the few empirical studies to capture the performativity of accounting inscriptions from the perspective of Aboriginal and Torres Strait Islander entities. This sector has received minimal attention within the accounting discipline, despite significantly contributing to community well-being and cultural protection. There is emancipatory potential via policy frameworks that resonate with Aboriginal and Torres Strait Islander cultural beliefs and practices.
Details
Keywords
This study aims to identify the political alignment and political activity of the 11 Presidents of Britain’s most important scientific organisation, the Royal Society of London…
Abstract
Purpose
This study aims to identify the political alignment and political activity of the 11 Presidents of Britain’s most important scientific organisation, the Royal Society of London, in its early years 1662–1703, to determine whether or not the institution was politically aligned.
Design/methodology/approach
There is almost no information addressing the political alignment of the Royal Society or its Presidents available in the institution’s archives, or in the writings of historians specialising in its administration. Even reliable biographical sources, such as the Oxford Dictionary of National Biography provide very limited information. However, as 10 Presidents were elected Member of Parliament (MP), The History of Parliament: British Political, Social and Local History provides a wealth of accurate, in-depth data, revealing the alignment of both.
Findings
All Presidents held senior government offices, the first was a Royalist aristocrat; of the remaining 10, 8 were Royalist or Tory MPs, 2 of whom were falsely imprisoned by the House of Commons, 2 were Whig MPs, while 4 were elevated to the Lords. The institution was Royalist aligned 1662–1680, Tory aligned 1680–1695 and Whig aligned 1695–1703, which reflects changes in Parliament and State.
Originality/value
This study establishes that the early Royal Society was not an apolitical institution and that the political alignment of Presidents and institution continued in later eras. Furthermore, it demonstrates how the election or appointment of an organisation’s most senior officer can be used to signal its political alignment with government and other organisations to serve various ends.
Details
Keywords
Mohammadreza Akbari, Seng Kiat Kok, John Hopkins, Guilherme F. Frederico, Hung Nguyen and Abel Duarte Alonso
The purpose of the article is to contribute to the body of research on digital transformation among members of the supply chain operating in an emerging economy. This paper…
Abstract
Purpose
The purpose of the article is to contribute to the body of research on digital transformation among members of the supply chain operating in an emerging economy. This paper researches the digital transformation trends happening across Vietnamese supply chains, by investigating the current adoption rates, predicted impact levels and financial investments being made in key Industry 4.0 technologies.
Design/methodology/approach
By using a semi-structured online survey, the experiences of 281 supply chain professionals in Vietnam were captured. Subsequently, statistical techniques examining variances in means, regression analysis and Monte Carlo simulation were applied.
Findings
The findings of this study offer a comprehensive understanding of Industry 4.0 technology in Vietnam, highlighting the prevalent technologies being prioritized. Big data analytics and the Internet of things are expected to have the most substantial impact on businesses over the next 5–10 years and have received the most financial investment. Conversely, Blockchain is perceived as having less potential for future investment. The study further identifies several technological synergies, such as combining advanced robotics, artificial intelligence and the Internet of things to build effective and flexible factories, that can lead to more comprehensive solutions. It also extends diffusion of innovation theory, encompassing investment and impact considerations.
Originality/value
This study offers valuable insights into the impact and financial investment in Industry 4.0 technologies by Vietnamese supply chain firms. It provides a theoretical contribution via an extension of the diffusion of innovation theory and contributes toward a better understanding of the current Industry 4.0 landscape in developing economies. The findings have significant implications for future managerial decision-making, on the impact, viability and resourcing needs when undertaking digital transformation.
Details
Keywords
Eijaz Ahmed Khan, Md. Maruf Hossan Chowdhury, Mohammad Alamgir Hossain, A.K.M. Shakil Mahmud, Abdullah M. Baabdullah and Yogesh K. Dwivedi
Society's concerns about environmental degradation have tightened competitive pressure and brought new challenges to small firms. Against this backdrop, this study develops a…
Abstract
Purpose
Society's concerns about environmental degradation have tightened competitive pressure and brought new challenges to small firms. Against this backdrop, this study develops a decision model to determine a suitable configuration for entrepreneurial orientation to help small firms manage circular economy challenges and improve their performance.
Design/methodology/approach
This study used a multi-study and multi-method approach. Study 1, through qualitative in-depth interviews, identified a portfolio of circular economy challenges and entrepreneurial-orientation components. Study 2 applied the quality function deployment technique to determine the most important components of entrepreneurial orientation. Study 3 adopted a fuzzy set qualitative comparative analysis to determine the best configuration for challenges and components.
Findings
The findings reveal a set of challenges and identify the salient need to combine the negation of these challenges with the components of entrepreneurial orientation; this combination will improve the performance of small firms. The research extends the current knowledge of managing circular economy challenges and offers decision-makers insights into improving their resilience.
Originality/value
The use of the dynamic capability view, together with the multi-study and multi-method approach, may lead to an appropriate reconfiguration of entrepreneurial orientation, which, to date, has received limited empirical attention in the small-business-management discipline.
Details
Keywords
Kathrin Kölbl, Cornelia Blank, Wolfgang Schobersberger and Mike Peters
This study aims to address customer focus as an important component of total quality management (TQM) and explore the key drivers of member satisfaction in tennis clubs via a…
Abstract
Purpose
This study aims to address customer focus as an important component of total quality management (TQM) and explore the key drivers of member satisfaction in tennis clubs via a novel theory-based member satisfaction index (MSI) model with high explanatory and predictive power. Furthermore, the study aims to investigate the relationship between satisfaction and behavioral intentions (willingness to stay; WTS) with consideration of the mediating effect of identification with the club.
Design/methodology/approach
This study uses variance-based partial least squares structural equation modeling (PLS-SEM) to estimate the MSI model, which was tested in a leading tennis club in Germany (n = 185).
Findings
The results reveal that club atmosphere, club facilities and the price/quality ratio of the membership fee are the most important drivers of member satisfaction in tennis clubs. Member satisfaction has a large influence on the WTS of tennis club members. Identification with the club, when included as a mediator in the model, increases the variance explained in WTS considerably.
Research limitations/implications
The small sample limits the generalizability of findings, and further research is recommended.
Practical implications
The MSI model is a useful benchmark tool for club managers who want to quantify the satisfaction and WTS of their club members. In addition, because of the integrated formative measurement models, the PLS-SEM results show which indicators can be used to positively impact satisfaction with each of the service quality dimensions, overall member satisfaction and WTS. The most important of these results are discussed in an importance-performance map analysis.
Originality/value
The MSI model is a multi-attribute index model through which members' evaluations of various dimensions of service and value are derived through multivariable linear function with each dimension weighted according to its importance in one holistic model. The model shows the strong impact of satisfaction on WTS of sports club members and reveals that findings of previous research on the relationship between fan and spectator identification and loyalty are transferable to sports club members. The MSI represents a new contribution to the literature; it was applied here to tennis clubs but is also suitable for application to other sports clubs.
Details
Keywords
Wajiha Mohsin Shahzad, Siddenki Mahender Reddy, Ravindu Kahandawa and James Olabode Bamidele Rotimi
The ascendancy of modular offsite construction (MOSC) over traditional construction methods is well known. Despite the known potential of this construction approach, its adoption…
Abstract
Purpose
The ascendancy of modular offsite construction (MOSC) over traditional construction methods is well known. Despite the known potential of this construction approach, its adoption is minimal in New Zealand construction industry. This article investigates the potential benefits of using MOSC for delivery of high-rise buildings in New Zealand, underlying factors responsible for its low uptake and the measures that can facilitate its improved uptake.
Design/methodology/approach
This study utilised a mixed research approach. An empirical questionnaire survey was carried out with New Zealand construction industry professionals with expertise in MOSC. Factor analysis of survey data was carried out using SPSS software. Semi-structured interviews were carried out with subject matter experts to get further insights and expand the survey findings. Interview data were analysed using thematic analysis.
Findings
Study identified benefits of MOSC, thus establishing potential of its uptake for high-rise building construction. Constraining factors were investigated, most pronounced being low level of skills in construction industry to design, manufacture and integrate supply chain of MOSC, high initial investment, high cost of importing modules and negative perception about offsite manufactured buildings. This study also highlighted the enablers to improve uptake of MOSC. These enablers included; loan and mortgage policies to suit MOSC paradigm, building regulations to support OSC industry, increased support from the government and awareness and acceptance of standardised building designs among the clients.
Originality/value
Originality of this paper harps from little to no research carried out to investigate use of MOSC for high-rise buildings in New Zealand context.
Details
Keywords
Fu Jia, Kexin Li, Tianyu Zhang and Lujie Chen
Sustainability is of growing significance in the contemporary business landscape as organizations strive to minimize their environmental impact and optimize supply chain (SC…
Abstract
Purpose
Sustainability is of growing significance in the contemporary business landscape as organizations strive to minimize their environmental impact and optimize supply chain (SC) operations. Gaining insights into the influence of Triple A SC practices on sustainable performance can offer valuable perspectives for practitioners and policymakers. This study aims to comprehensively review existing academic literature on Triple A supply chain management (SCM) and sustainability, examining its impact on sustainable performance while identifying key influencing factors.
Design/methodology/approach
This review follows the six steps and 14 decisions of conducting a systematic literature review to comprehensively review 57 papers published between 2004 and 2023.
Findings
Based on the content analysis of the selected papers, this study summarizes the antecedents, practices and outcomes of Triple A SCM, with a particular focus on its implications for sustainability. This paper builds a conceptual framework from the descriptive and thematic findings to enrich the relevant aspects of Triple A SCM.
Originality/value
This study establishes a connection between Triple A SCM and sustainable performance by examining its impact on economic, social and environmental aspects. This review identifies research gaps and acknowledges the lack of specificity in implementing Triple A SCM across diverse industries, regions and competitive markets with varying external environments. It emphasizes the necessity to customize approaches based on contextual factors and provides valuable recommendations for future research to advance the concept of Triple A SCM.
Details
Keywords
Sangita Choudhary, Tapan Kumar Panda and Abhishek Behl
Amid increasing frequency of disaster across the globe, humanitarian supply chain (HSC) has gained significant attention in recent times. This work aims to contribute towards…
Abstract
Purpose
Amid increasing frequency of disaster across the globe, humanitarian supply chain (HSC) has gained significant attention in recent times. This work aims to contribute towards improving the decision-making capabilities of relief organisations by offering more comprehensive understanding of the critical success factors (CSFs) concerning HSC. Hence, the current work attempts to classify CSFs as cause-and-effect factors and explore their relative importance in the stated significance.
Design/methodology/approach
Current work takes an explorative and deductive approach. It uses literature and experts' input to identify the CSFs for HSC and to develop a structural model for assessing these factors. Intuitionistic fuzzy DEMATEL (IF-D) is employed for modelling and analysing the cause-effect linkages among the CSFs. IF-D method is chosen as it is robust to vagueness of data and small samples.
Findings
The findings indicate that “motivated and committed employees” is the most influencing causal factor followed by “IT infrastructure”, and among effect factors, “physical network” carries the most significance followed by “anticipation capabilities.”
Practical implications
Relief organisations and stakeholders at various levels may put more emphasis on cause group factors with more influence on most critical effect factors to build more efficient and effective HSC to execute more impactful relief programs.
Originality/value
Current work explores the cause–effect relationships among the CSFs concerning HSC by implementing IF-D, which can be considered as the original contribution.
Details