Do Shadow Banking Depositors Discipline the Market?

The shadow banking sector comprises non-bank financial institutions that do not have a deposit guarantee and are barely supervised by the regulator. Efforts to monitor shadow banking must be done well, in both developed and developing countries. Regulators in several countries however have not been fully effective in supervising shadow banking financial institutions, particularly in developing countries such as Indonesia. Therefore, the public\u27s role—in this case, depositors—is essential to supervise shadow banking through the practice of market discipline. However, some factors may cause the market discipline practice to fail, such as low financial literacy. This research aims to examine the influence of financial literacy on the performance of market discipline. This study\u27s research method is a survey of 255 lecturers who have savings accounts in the shadow banking sector in Indonesia. The multivariate analysis method used in this study is partial least squares structural equation modelling (PLS-SEM). This study provides evidence that financial literacy and its variables significantly affect market discipline\u27s effectiveness in shadow banking. By showing that market discipline plays a role in building a sustainable financial ecosystem, this research contributes to depositors, investors, the financial industry, and regulators. Promoting market discipline is an important duty of regulators and other financial institutions. Likewise, promoting financial literacy among depositors and investors, especially in developing countries with low literacy levels, is a challenge to overcome when seeking to create a sustainable financial system

The use of partial least squares path modeling in causal inference for archival financial accounting research

In financial accounting research, multivariate regression is almost exclusively the dominant statistical method. By contrast, Partial Least Squares path modeling is a under-utilized statistical method. The aim of this study is to examine how Partial Least Squares path modeling can be applied to the archival financial accounting research. This article first presents an overview on multivariate regression and structural equation modeling. The authors then highlight that advantages of using Partial Least Squares path modeling to address the research constraints in causal inference for archival financial accounting research

Willingness to Comply with Corporate Law: An Interdisciplinary Teaching Method in Higher Education

Using an innovation training project, an interdisciplinary cross-sectional teaching strategy was developed to enhance students’ willingness to comply with the law. Thirty-five business, finance and accounting teachers examined the effects of ethical education on 484 university students’ willingness to comply with corporate law. Ethical education was based on building students’ ethical decisions on three court judgments in the new Spanish Corporate Governance Code. The ethical training was carried out by developing and applying social justice counter arguments. This perspective allowed students to imagine what decisions other person could have taken if they had managed the company ethically. The results suggest that ethics education in higher education can improve the willingness to comply the law. This methodology can be applied to interdisciplinary departments teaching ethics in business, finance and accounting

Knowledge management, innovation and big data: Implications for sustainability, policy making and competitiveness

This Special Issue of Sustainability devoted to the topic of “Knowledge Management, Innovation and Big Data: Implications for Sustainability, Policy Making and Competitiveness” attracted exponential attention of scholars, practitioners, and policy-makers from all over the world. Locating themselves at the expanding cross-section of the uses of sophisticated information and communication technology (ICT) and insights from social science and engineering, all papers included in this Special Issue contribute to the opening of new avenues of research in the field of innovation, knowledge management, and big data. By triggering a lively debate on diverse challenges that companies are exposed to today, this Special Issue offers an in-depth, informative, well-structured, comparative insight into the most salient developments shaping the corresponding fields of research and policymaking

Factors affecting the deployment of learning analytics in developing countries: case of Egypt

The higher education institutions in developing countries such as Egypt are challenged with the high enrollment student rates, crowded classes and inability to track the progress of each student individually which increased the demand to find a solution that can redeem those problems. Although the usage of learning analytics is an expanding solution to support different educational challenges from performance tracking to detecting students at risks, learning analytics’ developments concentrated on addressing solutions for developed countries. Accordingly, the discipline still requires a broader and indepth interpretation of its contextual usage in developing countries especially Egypt. A research model has been constructed based on literature and tested for its validity and reliability. A questionnaire has been distributed on 148 university students. The study used smart-PLS to interpret and analyze the collected data. The study revealed that organizational culture, data accessibility, trustworthy, visualization has a positive effect on the awareness, while lack of ability has a negative effect on the awareness. Both infrastructure and awareness have significant positive effect on learning analytics impact. The research indicates high learning analytics awareness and high perceived impact on the Egyptian higher education. Evidence should be provided with the collection of more insights from students, faculty members and decision makers

Does Good Corporate Governance Lead to Better Sustainability Reporting? An Analysis Using Structural Equation Modeling

AbstractThis paper examines the impact of good corporate governance (CG) on the sustainability disclosure of 100 public listed companies in Malaysia from the perspective of agency theory. The data was analysed using Structural Equation Modelling technique of Partial Least Squares. The findings from the study indicate that board size, professionalism and board designation had a significant impact on sustainability disclosure. However, board independence and board ownership were not significant in motivating sustainability disclosure. The findings from this study provide enhance understanding of the determinants of sustainability reporting and confirm the appropriateness of agency theory in examining studies of this nature

Service Quality and Customer Loyalty in a Post-Crisis Context. Prediction-Oriented Modeling to Enhance the Particular Importance of a Social and Sustainable Approach

Research into the influence of service quality on customer loyalty has typically focused on confirming isolated direct causal influences regarding particular dimensions of quality, usually undertaken in the context of positive, firm-customer relations. The present study extends analysis of these factors through a new lens. First, the study was undertaken in a market context following a crisis that has had far-reaching consequences for customers’ relational behaviors. We explore the case of the Spanish banking industry, a sector that accurately reflects these new relational conditions, including a rising demand for more socially responsible banking. Second, we propose a holistic model that combines the effects of four key factors associated with service quality (outcome, personnel, servicescape and social qualities). We also apply an innovative predictive methodological technique using partial least squares (PLS) and qualitative comparative analysis (QCA) that enables us not only to determine the direct causal effects among variables, but also to consider different scenarios in which to predict customer loyalty. The results highlight the role of outcome and social qualities. The novelty of the social qualities factor helps to underscore the importance of social, ethical and sustainable practices to customer loyalty, although personnel and servicescape qualities must also be present to improve the predictive capability of service quality on loyalty

Water security and watershed management assessed through the modelling of hydrology and ecological integrity: a study in the Galicia-Costa (NW Spain)

Water management is a crucial tool for addressing the increasing uncertainties caused by climate change, biodiversity loss and the conditions of socioeconomic limits. The multiple factors affecting water resources need to be successfully managed to achieve optimal governance and thus move towards water security. This study seeks to obtain a holistic vision of the various threats that affect the ecological integrity of the basins that form the hydrological district of Galicia-Costa, through the method of partial least squares path modelling (PLS-PM). The data is analysed overall for the hydrological years from 2009 to 2015. The independent latent variables are “Anthropogenic” (comprising the percentage of water bodies with edges alongside artificial surfaces, the percentage connected to artificial land use patches, the edge density of artificial surfaces and population density) and “Nature” (edge density of forestry land uses, edge length of land water bodies alongside forested areas and the percentage of land occupied by the largest patch of forest). The dependent latent variables are “SWP”, which represents surface water parameters (biological oxygen demand, chlorides, conductivity and dissolved iron) and “Ecological Integrity” (METI Bioindicator). The connections between latent variables are uantified through path coefficients (β). From an overall perspective, the PLS-PM results reveal that 69.0% of “SWP” is predicted by the independent variables (R2 = 0.690), “Anthropogenic” contributes by increasing SWP (β = 0.471), while “Nature” decreases the concentration of SWP (β = −0.523), which indicates the polluting parameters in the water. The variables “Anthropogenic” (β = −0.351) and “SWP” (β = −0.265) lower the quality of “Ecological Integrity”. This variable must be managed through soil conservation measures for the benefit of water security. This study has been able to identify and quantify the variables that increase contaminant concentration and decrease ecological integrity, providing a promising methodology that facilitates protection and correction measures to guarantee water safety.Xunta de Galicia | Ref. R815 131H 64502Fundação para a Ciência e a Tecnologia | Ref. UID/AGR/04033/2020Fundação para a Ciência e a Tecnologia | Ref. UIDB/QUI/00616/2020Fundação para a Ciência e a Tecnologia | Ref. UIDP/00616/2020Fundação para a Ciência e a Tecnologia | Ref. SFRH/BD/146151/201

Inter-firm Relationships and Performance Factors in the Australian Beef Supply Chain: Implications for the Stakeholders

Recent study by Meat & Livestock Australia revealed that cost competitiveness and market development issues in supply chain are the major factors for a long term decline of the Australian Beef industry. This study, based on the explanation of transaction cost theory argues that competitive performance of an industry depends on improving cost efficiency across the whole of supply chain, the underlying value chain, and the relationship among the stakeholders in the industry. With a main objective to investigate the underlying factors of developing competent inter-firm relationship that influence the supply chain performance and competitiveness, this study presents details of a survey carried out and tests the hypothesis that inter-organizational relationships in supply chain and its antecedents have impact on the performance of Australian beef industry and thus have impact on the competitiveness of the industry. Data were collected through a telephone survey of 315 firms in the beef industry from the states of Western Australia and Queensland. The sample respondents were categorized as input suppliers, beef-cattle producers, processors, retailers/exporters, and wholesalers. The data were analysed using the partial least square based structural equation modelling. PLS analysis reveals that ‘Transaction Climate’ is the strongest determinants of developing a competent relationship, while negotiation power, presence of industry competitors, and the degree of vertical coordination significantly influence the relationship strength. Findings also demonstrate that relationship strength is the most prevalent source of performance and competitiveness, while SC performance highly positively influences the Competitiveness of beef industry. Thus this study identifies significant antecedents and consequences of Supply Chain Performance in Australian beef industry, which are strategic and extremely important information for beef producers, processors, retailers, and other stakeholders for appropriate planning and benchmarking.Beef Supply Chain, Agribusiness Management, Supply Chain Management, Agribusiness,