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The purpose of this study is to explore the effect of managerial ability on voluntary environmental, social and governance (ESG) disclosure and assurance. By focusing on managerial ability, this study provides a more nuanced understanding of the factors influencing a firm’s ESG disclosure and assurance practices. This study contributes to a relatively unexplored area of study regarding the role of top management in promoting ESG reporting.

This study draws on a sample of publicly listed firms from 2014 to 2019 in Taiwan and applies the data envelopment analysis method to measure managerial ability. Heckman’s (1979) two-step model is used to estimate the primary models to prevent the results from being affected by possible bias because of self-selection.

The empirical evidence suggests that managerial ability is positively related to voluntary ESG disclosure and intention to seek third-party assurance of the report. Overall, managerial ability determines whether a firm will use voluntary ESG disclosure and assurance as a corporate strategy to respond effectively to stakeholders’ needs. The findings are robust after using alternative measures of managerial ability.

Investors and other stakeholders keen on seeking ESG information offered by companies could find the findings of this study valuable. By better comprehending how managerial competence impacts voluntary ESG disclosure and assurance, stakeholders may be better equipped to hold companies responsible for their ESG disclosure practices and make informed investment decisions.

In the ESG decision-making process, managers with better abilities have a higher tendency to use voluntary disclosure and assurance as a part of the company’s sustainable policy.

Unlike previous studies of the determinant factors of ESG disclosure, which mainly explore factors at the national or corporate level, this study focuses on factors at the individual level (i.e. managerial ability) to fill the gap in the literature. This study also presents empirical evidence that corroborates the idea that managerial competence can influence not only ESG disclosure but also the voluntary assurance of ESG information.

This study aims to examine the role of hope and hate in political leaders’ messages in influencing liberals versus conservatives’ social-distancing behavior during the COVID-19 pandemic. Given the increasing political partisanship across the world today, using the appropriate message framing has important implications for social and public policy.

The authors use two Natural Language Processing (NLP) methods – a pretrained package (HateSonar) and a classifier built to implement our supervised neural network-based model architecture using RoBERTa – to analyze 61,466 tweets by each US state’s governor and two senators with the goal of examining the association between message factors invoking hate and hope and increased or decreased social distancing from March to May 2020. The authors examine individuals’ social-distancing behaviors (the amount of nonessential driving undertaken) using data from 3,047 US counties between March 13 and May 31, 2020, as reported by Google COVID-19 Community Mobility Reports and the New York Times repository of COVID-19 data.

The results show that for conservative state leaders, the use of hate increases nonessential driving of state residents. However, when these leaders use hope in their speech, nonessential driving of state residents decreases. For liberal state leaders, the use of hate displays a directionally different result as compared to their conservative counterparts.

Amid the emergence of new analytic techniques and novel data sources, the findings demonstrate that the use of global positioning systems data and social media analysis can provide valuable and precise insights into individual behavior. They also contribute to the literature on political ideology and emotion by demonstrating the use of specific emotion appeals in targeting specific consumer segments based on their political ideology.

The findings have significant implications for policymakers and public health officials regarding the importance of considering partisanship when developing and implementing public health policies. As partisanship continues to increase, applying the appropriate emotion appeal in messages will become increasingly crucial. The findings can help marketers and policymakers develop more effective social marketing campaigns by tailoring specific appeals given the political identity of the consumer.

Using Neural NLP methods, this study identifies the specific factors linking social media messaging from political leaders and increased compliance with health directives in a partisan population.

Determining vulnerability and resilience is necessary to develop sustainable agribusiness. The purpose of this study is to clarify and understand the current condition and problems in the tea supply chain and to develop a framework on how to build a sustainable and resilient tea supply chain.

This study is a case study analysis which develops an integrated framework to build a resilient tea supply chain. It evaluates and extends the current knowledge of Javanese tea by applying business process analysis to understand the situation.

This paper develops an integrated and conceptual framework on how to build resilient supply chain by considering five broad factors: vulnerability analysis, assessment of assets, supply chain collaboration, control mechanism from government and outcome.

The framework provides a conceptual view but limited to field surveys in Central Java Province. This study could increase the general understanding of tea supply chain in Indonesia and its major problems and challenges.

The framework also highlights different stakeholder's organizational constraints and issues, especially during the COVID-19 pandemic.

The business process analysis and conceptual framework offer an expanded and in-depth explanation on how organizations respond to the changing conditions, especially during the COVID-19 pandemic.