A roadmap for triggering the convergence of global ESG disclosure standards: lessons from the IFRS foundation and stakeholder engagement

PurposeMotivated by the growing and urgent demands for a unified set of internationally accepted, and high-quality environmental, social and governance (hereafter ESG) disclosure standards, this exploratory study aims to propose a roadmap for setting out the proper technical groundwork for global ESG disclosure standards. Design/methodology/approachAn exploratory study is conducted to gain initial understanding and insights into establishing a worldwide set of standards for reporting on sustainability, as this topic has not been extensively studied. This study examines the viewpoints of various stakeholders, including sustainability practitioners, academics and organizations focused on ESG issues, to generate knowledge that is more solid than knowledge produced when one group of stakeholders work alone. FindingsThe results revealed that there is an ongoing and incompatible debate regarding several conceptual and practical challenges for setting a unified set of ESG disclosure standards. Practical implicationsThe study results provide multidimensional insights for regulatory parties and standard-setters to develop a high-quality package of global ESG reporting standards. This, in turn, enables different groups of stakeholders to understand the firm's impact on the environment, society and economy. Originality/valueResearch into this timely and relevant global issue is considered an appealing area of study and deserves significant attention. Thereby, working on this topic merits remarkable attention. Furthermore, this exploratory article provides valuable and informative suggestions for creating a unified and high-quality set of internationally accepted sustainability reporting standards.

Embracing DDMT Teaching Model and Design Thinking for Organization Development

The multi-generational workforce presents challenges for organizations, as the needs and expectations of employees vary greatly between different age groups. To address this, organizations need to adapt their development and learning principles to better suit the changing workforce. The DDMT Teaching Model of Tsing Hua STEAM School, which integrates design thinking methodology, aims to address this challenge. DDMT stands for Discover, Define, Model & Modeling, and Transfer. The main aim of this study is to identify the organization development practices (OD) and gaps through interdisciplinary models such as DDMT and design thinking. In collaboration with a healthcare nursing home service provider, a proof of concept using the DDMT-DT model was conducted to understand the challenges in employment and retention of support employees between nursing homes under the healthcare organization. The paper highlights the rapid change in human experiences and mindsets in the work culture and the need for a design curriculum that is more relevant to the current and future workforce. The DDMT-DT approach can help organizations address these challenges by providing a framework for HR personnel to design training curricula that are more effective in addressing the issues of hiring and employee retention. By applying the DDMT-DT model, HR personnel can better understand the needs and motivations of the workforce and design training programs that are more relevant to their needs. The proof-of-concept research pilot project conducted with the healthcare nursing home service provider demonstrated the effectiveness of the DDMT-DT model in addressing the issues of hiring and employee retention. The project provides a valuable case study for other organizations looking to implement the DDMT-DT model in their HR practices. Overall, the paper highlights the importance of adapting HR practices to better suit the changing workforce. The DDMT-DT model provides a useful framework for organizations looking to improve their HR practices and better address the needs of their workforce.

COVID ADVANCES CLINICAL TRIAL TRANSPARENCY

Growing public concerns about politics playing a role in vetting potential vaccines and therapies to combat the COVID-19 pandemic has prompted sponsors of leading clinical trials to make public their study protocols and statistical analysis plans. [...]AstraZeneca's timeframe for enrolling and assessing study participants was delayed by the need to address the report of a serious adverse event in its Phase III study. The disclosure of these usually confidential details on research endpoints, assessment timeframes, and study analysis plans aim to promote information sharing among vaccine developers, and also build public confidence.

Exploring the Preference of Corporations for Sponsorship Motives and the Impact of Sponsorship Motives on Sponsoring Intention in Post-Epidemic Era: Using Two Different Approaches-FPR and SEM

The aim of this study is to explore the preference of corporations for sponsorship motives and the impact of sponsorship motives on sponsoring intention in the post-epidemic era of COVID-19. Taking a Taiwanese company as a case study, a total of 60 expert groups comprising 300 respondents (the management of the sampled companies) were surveyed in the post-epidemic period, with data being collected from 60 sampled companies in February-May 2022. Data were analyzed by using two different functional approaches, including fuzzy preference relations (FPR) for the first survey (study 1) and structural equation model (SEM) for the second survey (study 2). Results reveal that corporate image is the most preferential motive of sponsorship and also demonstrates the most significant and positive influence on sponsoring intention. Meanwhile, the measured factor of performing corporate social responsibility (CSR) appears the most correlated with the construct of corporate image. Based on the results, the study can fully fill the gap between sponsorship motives and sponsoring intention in sponsorship knowledge. Additionally, the conjunction of FPR and SEM can also create methodological synergies, namely, enhancing complementary effects and achieving better holistic analysis. Findings also suggest that special attention should be paid to CSR, which plays a pivotal role in affecting the decision of corporations for sponsorship motives and sponsoring intention and, in a post-epidemic era, continuing to develop CSR actions to enhance corporate image can be the best strategy while facing internal and external challenges of implementing sustainable development (SD).

Corporate social responsibility within a global pandemic: a qualitative analysis of the population's perception of sport organizations

The purpose of this study was to examine the population's perception of corporate social responsibility of three (inter)national sport organizations during the first wave of the Covid-19 pandemic. Within an online survey in Germany, 389 open statements were gathered and analyzed using thematic analysis. Drawing on Carroll's CSR conceptualization, the identified themes were assigned to the economic, legal, ethical and discretionary responsibility of sport organizations. The analysis revealed a fifth dimension of responsibility referring to organizations' communication and transparency. Most answers were concerned with the economic and ethical theme, highlighting the importance of financial modesty and contributing to the health of others during the pandemic. This study stresses the importance for sport organizations to meet ethical and moral expectations of society during times of crisis to maintain mutually beneficial relationships with core stakeholders such as the resident population. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

Resilient product and production adaptation in a large-scale disaster: Does it pay off?

Pandemic outbreaks can disrupt firms' normal operations, so they demand a resilient response. Firms can combine social responsibility initiatives with resilient responses by reconfiguring their production resources for pandemic relief. It remains unclear, however, whether pandemic-relieving product adaptation (in short, PRPA) improves financial performance. We draw on stakeholder theory to analyze the effect of a PRPA strategy on the stock returns of US-listed manufacturing firms during the COVID-19 pandemic—the most enduring and large-scale pandemic in recent history. The results reveal that the stock market reacts more positively to PRPA under severe pandemic circumstances and for firms with low political connectedness, low media coverage, and/or more unique production technology. The findings offer important implications for operations theory and practice. © 2023 Decision Sciences Institute.

How to Reconcile Pandemic Business Interruption Risk With Insurance Coverage

In the face of major risks, the financial capacities of private (re)insurers are rapidly reached. For major risks such as natural catastrophes, a risk transfer can be operated to the financial markets through securitization. A pandemic is a cat. Unfortunately a nat cat securitization strategy cannot be replicated for a pandemic cat. In this paper, we consider the economic losses that firms are bearing during a pandemic like the COVID-19. We focus on their most important issues: Risk correlation, impact of administrative decisions, moral hazard, and financial liquidity. Then we propose a coverage strategy of the pandemic business interruption risk that combines self-insurance, standard – capped – (re)insurance and new double triggered pandemic business interruption bonds. Lastly, we provide a simple illustration with French data related to the losses borne by the catering sector. © 2023 Editions Dalloz Sirey. All rights reserved.

Impact of e-Learning in Education Sector: A Sentiment Analysis View

The COVID-19 condition had a substantial impact on the education sector, corporate sector and even the life of individual. With this pandemic situation e-learning/distance learning has become certain in the education sector. In spite of being beneficial to students and teachers, its efficacy in the education domain depends on several factors such as handiness of ICT devices in various socio economic groups of people and accessible internet facility. To analyze the effectiveness of this new system of e learning Sentiment Analysis plays a predominant role in identifying the user's perception. This paper focus on identifying opinions of social media users i.e. Twitter on the most prevailing issue of online learning. To analyze the subjectivity and polarity of the dynamic tweets extracted from Twitter the proposed study adopts TextBlob. As Machine Learning (ML) models and techniques manifests superior accuracy and efficacy in opinion classification, the proposed solution uses, TF-IDF (Term Frequency-Inverse Document Frequency) as feature extraction technique to build and evaluate the model. This manuscript analyses the performance of Multinomial Naive Bayes Classifier, DecisionTreeClassifier, SVC and MLP Classifier with respect to performance measure as Accuracy. © 2022 IEEE.

Adapting IT Governance Policies and Technology to Cope with COVID-19 at Ahlia University

The COVID-19 pandemic has developed into a diverse worldwide emergency with gigantic difficulties for any association all throughout the planet. With lockdowns and other social removing conventions carried out in nations around the world, financial exercises and social associations become progressively dependent on innovation. This examination planned to look at the intercession part of business-IT arrangement because of IT administration (ITG) in Higher Educational Institutions (HEIs) performance. The Higher Educational area was picked as an object of study as this area will encounter a time of extremist innovation driven change because of COVID-19‘s boost and there very few studies in this sector. This study used the case study of a HEI in Bahrain where Integrated IT governance framework was implemented successfully during the time of crisis and need. In fact the ITG helped a lot in achieving the strategic goals of the HEI. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

Getting the Most From FSP Model

Examining best practices in using the functional service provider model for clinical operations, pharmacovigilance, regulatory, and other areas The COVID-19 pandemic has shown that there's a lot more flexibility in clinical trial systems than what was realized in the past. Some of these and other aspects leading to the rise of FSP outsourcing in drug development has been shared by other experts as well.3 Key functions and sub-functional areas within clinical development that have been outsourced as part of FSP model include: * Clinical monitoring (CM) * Clinical data management (CDM) * Biostatistics, statistical programming (BS&P), data standards, conversions (e.g., CDISC) * Medical writing (MW) * Pharmacovigilance/drug safety (PV) * Regulatory affairs (RA) Based on our experience in advising clients and providing FSP/CRO services over the past 20 years, we have seen the creative bundling of some of these functions as part of the extended FSP partnership model. * Combination of CDM, BS&P, and data conversions * Extension of the CDM, BS&P, and MW into a "clinical data services' package * Combination of clinical monitoring, CDM, BS&P, and medical monitoring into a "centralized monitoring team" (potential future services) * Combination of PV and regulatory activities due to regional synergies and submission/compliance requirements (potential future services) To ensure that the FSP model is strategic and provide the sustainable mode of partnership, we have shared some of the best practices ahead (and summarized in Figure 1 above) that can be leveraged and further customized as needed by sponsors: 1.Functional sourcing strategy: Sponsors must include specific criteria as part of their evaluation of service providers for the FSP sourcing plan (some of these are also typically done during a full-service CRO outsourcing process): Size and geography focus of provider that needs to be aligned with the strategic plans of the sponsor (e.g., where they plan to conduct trials to meet their regulatory needs or the size of stud ies). Team strength, capacity, and experience with both FTE and unit/deliverables-based pricing models of delivery. * Commitment to deliver year-over-year productivity gains using automation, digital/AI/ML technologies, and other approaches. * Partnership approach to play a critical role in initiating, driving/participating in innovation, and transformation initiatives of the sponsor. * Past client and employee turnover (attrition) that should be on par or below benchmark for the same function and similar type of service. * Executive commitment to participate actively in joint-governance discussions that ensures proactive monitoring and tracking of the program milestones and drive mitigatory actions, should milestones not be delivered on time, quality, and cost. 4.RFI/RFP process, joint solution development, and rigorous scoring of proposals and solutions:

Do free-floated shares and board characteristics influence corporate risk disclosure? An empirical analysis on conventional banks in a developing country

PurposeThis study aims to explore the status and drivers (including free-floated shares, board size, rule duality and board independence) of corporate risk disclosure (CRD) for the conventional listed banks in the Egyptian stock market from 2010 to 2021, which include the country's major political upheavals and the COVID-19 pandemic. Design/methodology/approachThis study based on a sample of 117 annual reports of sampled banks from 2010 to 2021. RD index of Al-Maghzom (2016) was developed and adopted to quantify CRD using an unweighted scoring system. The multiple linear regression model was used to validate the hypotheses. FindingsThe analysis shows that the COVID-19 pandemic increased insignificantly disclosure of all risks except for segment risks. In addition, findings reveal that all sampled banks adhere highly to the requirements of mandatory RD, with a low level of adherence to voluntary RD. Moreover, the analysis concluded that the board size and free-floating shares positively affect the disclosure of financial, operational, general information. Research limitations/implicationsThe study's limitations include the content analysis methodology, reliance on annual reports, emphasis on financial and non-financial risks, focus on listed conventional banks in Egypt. Practical implicationsCurrent study's findings are more likely to be useful for many parties. It informs investors about the characteristics of the boards' directors of Egyptian listed banks that disclosed risk information. Banks should disclose more comprehensive risk information. For academics, the current study's limitations can be considered in their future research. Originality/valueThis work fills a new research area in which there is relatively little research in emerging financial markets that adds new evidence to the relationship between RD and both free-floating shares and board characteristics, particularly in Egypt.

If and to What Extent Does Organizational Learning Culture Predict Turnover Intentions of Telecommuting Call Center Agents?

This study focuses on measuring the relationship between organizational learning culture (OLC) and turnover intentions of telecommuting call center agents. Although many studies involve the call center industry from different perspectives, the literature is scant in studies that have assessed the relationship between OLC and turnover intent in telecommuting call center agents. Call centers exist in almost every organization worldwide. Organizations have centralized their customer service process through computerbased technologies allowing call center agents to work from home. In addition, in the post-COVID-19 era, telecommuting has become a permanent option for many call center employees. Indeed, in the call center industry, telecommuting has become an essential part of the business strategy that seeks to attract new and maintain current employees. In the call center industry, learning is a factor that influences job satisfaction and turnover intentions. Specifically, OLC increases job satisfaction and performance in telecommuting call center agents, influencing employees' turnover intentions. The study 's findings indicate that OLC is a needed factor that helps lower turnover intentions of telecommuting call center agents in the United States.

Working capital and firm performance: role of COVID-19 disruption

PurposeThis study examines the performance effect of working capital for a large sample of Indian manufacturing firms in light of supply chain disruption, i.e. the COVID-19 pandemic.Design/methodology/approachThis study is based on secondary data collected from the Prowess database on Indian manufacturing firms listed on the Bombay Stock Exchange (BSE) 500. Panel data regression analyses are used to estimate all models. Moreover, this study has employed robust standard errors to consider for heteroscedasticity concerns.FindingsThe results challenge the current notion of working capital investment and reveal that higher working capital has a positive and significant impact on firm performance. Further, it highlights that Indian manufacturing firms suffered financially post-COVID-19 as they significantly lack the working capital to run day-to-day operations.Originality/valueThis research contributes to the scant literature by examining the association between working capital financing and firm performance in light of the COVID-19 pandemic, representing typical developing economies like India.

Sustainable Thematic Investing: Identifying Opportunities Based on an Analysis of Stewardship Reports

Globally, a growing number of stakeholders recognise that sustainability determines success on multiple levels. Therefore, asset managers in developing and emerging countries increasingly focus on sustainable investment opportunities. While institutional investors largely centred on governance considerations pre-2020, the Coronavirus pandemic highlighted substantial social and environmental concerns at companies worldwide. As South Africa is the most unequal country globally according to the World Bank, decisions made by local institutional investors can have significant implications for individuals and environments where capital is invested. The objectives of this study were hence to analyse the sustainability themes on which South African asset managers focused in their stewardship reports and to explore the Sustainable Development Goals (SDGs) that they addressed through their investment mandates. A content analysis was performed on stewardship reports that were published in 2020 and 2021 to consider the impact of the Coronavirus pandemic. The findings indicate that prioritised sustainability themes include climate action, infrastructure development and social considerations. The considered asset managers accordingly focused on addressing climate action (SDG 13), decent work and economic growth (SDG 8), and affordable and clean energy (SDG 7). Promising investment opportunities in companies that address key social issues, including the health and well-being of society (SDG 3) and broadening access to quality education (SDG 4) were also highlighted. The leaders of local investee companies are thus encouraged to ensure concise, transparent reporting on these material matters to enhance communication and engagement with institutional investors and other key stakeholders. This study offers a novel perspective on sustainable thematic investing in a highly unequal society.

Academic Research Responses to Covid-19: The Corporate Social Responsibility Perspective

This study investigates the strategic responses to the Covid-19 pandemic by academic research from the distinctive lens of corporate social responsibility (CSR). Specifically, it examines the evolution and trend of published academic research covering the CSR-Covid-19 nexus by highlighting key characteristics of published theoretical and empirical research linking the two elements. A total of 99 papers on CSR-Covid-19 nexus derived from Scopus database were analysed using bibliometrics, social network techniques and content analysis to examine the research activities since the start of the pandemic up to November 2021. The results indicate that the pandemic had effectively stimulated rapid growth of research interests examining the intertwined nature of CSR and Covid-19 as reflected in the swift proliferation of studies theoretically explaining and empirically testing the roles and impacts of CSR on various Covid-19 outcomes within myriads of domains, including but not limited to health, business practices, economics, and socials. The practical implications of this article lies on its ability to accentuate key research characteristics that early and/or mature researchers should consider when planning their future research trajectory on the link between CSR and Covid-19.

Post COVID-19's opportunities for customer-centric green supply chain management and customers' resilience, the moderate effect of corporate social responsibility

PurposeThis research aims to profoundly investigate the post-COVID-19's opportunities for customer-centric green supply chain management (GSCM) and perceived customer resilience by studying the correlation between fear-uncertainty of COVID-19, customer-centric GSCM, and the perceived customers' resilience. Moreover, to examine how the perceived corporate social responsibility (CSR) activities moderates the relationship among the variables.Design/methodology/approachIn this study partial least squares structural equation modeling (PLS-SEM) was adopted on a sample of 298 managers and customers in the Egyptian small and medium enterprises (SMEs) market for data analysis and hypotheses testing.FindingsPreliminary results indicate that the fear-uncertainty of COVID-19 positively affects customer-centric GSCM. Also, external CSR moderates the association between fear-uncertainty towards COVID-19 and customer-centric GSCM. However, internal CSR does not moderate this relationship. Customer-centric GSCM has a significant positive impact on the perceived environmental and social resilience. However, it has an insignificant effect on the perceived financial resilience. Also, customer-centric GSCM has a significant mediation outcome on the relation between fear-uncertainty of COVID-19 and the perceived environmental and social resilience. However, this relation is insignificant regarding the perceived financial resilience.Practical implicationsManagers could develop a consistent strategy for applying CSR practices, providing clear information and focusing on their procedures to meet their customer needs during COVID-19. Governments and managers should develop a consistent strategy to apply customer-oriented green practices to achieve customers' resilience, especially during the pandemic.Originality/valueBased on the "social-cognitive,” "stakeholder” and "consumer culture” theories, this study shed light on the optimistic side of the COVID-19 pandemic, as it also brings the concepts of social responsibility, resilience and green practices back into the light, which helps in solving customers' issues and help to achieve their resilience.

Effect of Remittance Inflows on External Debt in Developing Countries

This paper analyzes the effect of remittance inflows on external debt in developing countries, by identifying international reserves as a potential transmission channel. Using panel data over the period 1970–2017 and covering 50 low-and middle-income countries worldwide, we find a positive and significant effect of remittance inflows on the external debt-to-GDP ratio. We also find a negative and significant effect of international reserves on external debt. After controlling for international reserves, the effect of remittance inflows on external debt increases;it remains positive and significant. The results suggest that the role of international reserves as a self-insurance mechanism, and the Dutch disease effect related to remittance inflows are at play. In addition, we find negative and significant effects of economic growth and savings-investment gap on external debt. We also find positive and significant effects of the nominal exchange rate and the United States lending interest rate on external debt. We discuss the policy implications of these findings, while highlighting factors that policymakers should focus on for containing external debt in developing countries in the post-COVID-19.

The Role of Transferable Skills and Data Science in the Move to Digitally-Enabled Clinical Research

According to the job's website Recruiter, clinical data management vacancies have increased by almost 94% since 2019.' Artificial intelligence (AI), including machine learning (ML) and natural language processing (NLP), is allowing for the more intelligent analysis of trial data. New approaches, new roles Centralized statistical monitoring, which streamlines drug development by allowing for the near real-time analysis of data as it accumulates, is the perfect example of how the changing research paradigm is creating new roles.