Supplier change, market competition and enterprise innovation

PurposeThe purpose of this paper is to study enterprise innovation in the perspective of external supplier relationship. On this purpose, this paper examines the impact of supplier change on enterprise innovation with the moderating role of market competition.Design/methodology/approachUsing 2012–2020 empirical data of Chinese listed manufacturing enterprises, this paper investigates the relationship among supplier change, market competition and enterprise innovation through a two-way interaction model.FindingsThe results show that supplier change has a negative impact on enterprise innovation. And market competition intensifies the negative relationship between supplier change and enterprise innovation. Additional analyses indicate that the main effect and the moderating effect are more significant when the enterprise is non-state-owned or has lower ownership concentration.Originality/valueThis paper studies enterprise innovation from the perspective of external stakeholders. It focuses on supplier relationship in a dynamic variation view, instead of the traditional static ones. Moreover, this paper explores the contingency effect of market competition and gives practical implications for managers to adjust innovation strategy flexibly.

COVID-19, Digital Transformation of Banks, and Operational Capabilities of Commercial Banks

The development of financial technology has promoted the innovation and digital transformation of commercial banks. Through digital transformation, commercial banks can improve bank efficiency and operational capabilities. Through empirical analysis, this study explored the relationship between digital bank transformation and commercial bank operating capabilities and how COVID-19, bank categories, and enterprise life cycles affect the relationship between digital bank transformation and commercial bank operating capabilities. This study selected data from China's commercial banks from 2011 to 2021 and used the regression method of fixed effects to conduct an empirical analysis. The research results show that the digital transformation of banks has improved the operational capabilities of commercial banks. Further analysis showed that the emergence of COVID-19 has negatively affected their relationship. At the same time, compared with rural commercial banks and commercial banks in the recession and phase-out periods, non-rural commercial banks and commercial banks in the growth and maturity stages play a more vital moderating role in the impact of the digital transformation of banks on the financial performance of commercial banks. The main research object of this study is Chinese commercial banks, and this study examines the results of banks' digital transformation and enriches the research on digital transformation. At the same time, this study is helpful to investors who like investment banks and has good practical significance.

A study on the assessment of risk management performance in maritime start-ups: evidence from China

Due to the COVID-19 pandemic, the international shipping market has been highly volatile, posing a serious threat to the survival and development of many maritime start-ups. With the development of the digital economy, digital transformation is affecting the evolution and upgrading of many traditional enterprises, including maritime enterprises. In the post-COVID-19 era, start-up small and medium-sized enterprises will need to consider the importance of enterprise risk management to achieve transformation and upgrading. The purpose of this study is to provide guidance for the establishment and upgrading of risk management systems for start-ups based on the identification of risk management strategies of maritime enterprises and the evaluation of their performance. The fuzzy analytic hierarchy process and importance-performance analysis methods were used to rank the operational risk, financial risk, market risk, innovation risk, and disaster risk according to sub-items and screen out the risk management schemes for priority improvements. Through empirical research, it was found that the financial risk and market risk response schemes have the lowest performance and need to be prioritised for improvement. This study argues that start-ups can appropriately challenge their risk management strategies to meet potential risk management needs based on their own circumstances.

Port strategy and performance: empirical evidence from major container ports and implications for role of data analytics

Container ports operate in more challenging and volatile environments at present times. Events such as US-China trade tensions and the COVID-19 pandemic severely affect numerous container ports at various levels. Strategies pursued by container ports are key to port development and management amidst these challenges. Drawing on configuration theory, this research employs Fuzzy-set Qualitative Comparative Analysis to investigate the relation between port strategies and container throughput. The research contributes to the literature by proposing an approach to account for complexity of the port sector and offers insights into strategies adopted by major container ports. The research further identifies 10 port strategies and proposed indicators that can represent the essence of these strategies. Being able to represent strategies in a quantitative format is important for strategy analysis and performance evaluation. Results reveal that major container ports employ a combination of strategies which address both the supply and demand-side aspects of the port business. Growing digitalization and digitization coupled with advancements in information capture, diagnostics capabilities and predictive abilities means a greater role for data analytics to influence container port strategy and performance. Implications for port managers, policy makers and researchers from the perspective of port policy and management are proposed.

Examination of the Effects of COVID-19 on Happiness in Different Geographical Regions with Piecewise Linear Panel Data Models

The COVID-19 pandemic has recently caused the loss of millions of lives, and billions of others have been deeply affected. This crisis has changed the way people live, think about life, and perceive happiness. The aim of this study is to reveal differences between geographical regions by investigating the effect of the happiness variable on different countries during the international COVID-19 pandemic. The primary purpose is to demonstrate how such a pandemic may affect different countries in terms of happiness at the individual level and to identify possible strategies for the future. With this aim, both static and dynamic panel data models were used while applying fixed effects, random effects, and the generalized method of moments (GMM). A basic assumption in panel data models is that the coefficients do not change over time. This assumption is unlikely to hold, however, especially during major devastating events like COVID-19. Therefore, the piecewise linear panel data model was applied in this study. As a result of empirical analysis, pre- and post-COVID differences were seen between different geographical regions. Based on analysis conducted for three distinct geographical regions with piecewise linear models, it was determined that the piecewise random effects model was appropriate for European and Central Asian countries, the piecewise FGLS model for Latin American and Caribbean countries, and the piecewise linear GMM model for South Asian countries. According to the results, there are many variables that affect happiness, which vary according to different geographical conditions and societies with different cultural values.

Emotional risk work during the pandemic: Healthcare professionals' perceptions from a COVID-19 ward

In March 2020, COVID-19 wards were established in hospitals in Denmark. Healthcare professionals from a variety of specialities and wards were transferred to these new wards to care for patients admitted with severe COVID-19 infections. Based on ethnographic fieldwork in a COVID-19 ward at a hospital in Copenhagen, Denmark, including focus group interviews with nursing staff, we intended to explore practices in a COVID-19 ward by seeking insight into the relation between the work carried out and the professionals' ways of talking about it. We used a performative approach of studying how the institutional ways of handling pandemic risk work comes into being and relates to the health professionals' emerging responses. The empirical analysis pointed at emotional responses by the nursing staff providing COVID-19 care as central. To explore these emotional responses we draw on the work of Mary Douglas and Deborah Lupton's concept of the ‘emotion-risk-assemblage'. Our analysis provides insight into how emotions are contextually produced and linked to institutional risk understandings. We show that work in the COVID-19 ward was based on an institutional order that was disrupted during the pandemic, producing significant emotions of insecurity. Although these emotions are structurally produced, they are simultaneously internalised as feelings of incompetence and shame.

Liquidity effects of COVID-19 in the European tourism industry

We examine the influence of COVID-19 on liquidity of the tourism industry in the UK, Europe and Spain. In the short run, the pandemic causes significant negative stock market reaction in the tourism industry. In the long run, the tourism industry recovers from the fall in returns due to the pandemic. Liquidity significantly decreases due to COVID-19, for the UK, European and Spanish tourism markets, even when we encapsulate the influence of stock prices, trading volume and volatility. Our findings suggest that European equity markets have declined in efficiency due to the pandemic in the tourism industry. Our empirical analysis has important implications for policy makers. Tourism recovery strategies from the pandemic are required with immediate effect in order to restore the valuation of the tourism companies, given that the negative stock price reaction and lack of liquidity significantly reduces market value of the tourism firms across Europe. In order for the tourism industry to fully recover from COVID-19, investors need to have the confidence to buy large volumes of tourism company stocks, which will increase the price and liquidity, leading to a substantial increase in market capitalization.

Role of Logistics Integration Capability in Enhancing Performance in Omni-Channel Retailing: Supply Chain Integration as Mediator

Although the importance and benefits of logistics integration in omni-channel (OC) retailing have been discussed in the literature, the impacts of logistics integration from the dimension of internal and external logistics remain unknown. To fill this gap, this study aims to investigate the relationships among internal and external logistics integration capabilities, supply-chain integration (SCI), and financial performance (FP) in OC retailing based on the dynamic capability view. An empirical study is conducted based on a survey of 230 OC retailers in China's market. Factor analysis and regression analysis are conducted to examine the hypotheses of the proposed conceptual model. The quantitative analyses show that the internal logistics integration capability is significantly related to the external logistics integration capability, and they both have positive effects on SCI, while the external logistics integration capability generates a higher impact (i.e., almost 1.5 times that of the internal logistics integration capability). The numerical results also demonstrate that the logistics integration capabilities and SCI have similar positive effects on FP (i.e., all the relevant regression coefficients show values around 0.25), and SCI plays a partial intermediary role in the relationships between logistics integration capabilities and FP. Furthermore, the quantitative evidence addresses the fact that the FP is not influenced by OC retailers' characteristics, indicating a fair business environment in the OC retail industry.

Achieving Zero Stunting: A Sustainable Development Goal Interlinkage Approach at District Level

The sustainable development goals (SDGs) provide an integrated framework of targets and indicators, including the elimination of stunting, to support better development planning. Indonesia faces a significant challenge as it ranks fourth globally in terms of stunting prevalence, exacerbated by disparities across regions, gender, and socioeconomic status, further compounded by the ongoing COVID-19 pandemic. Given the interlinked nature of SDGs, this study provides empirical support for the prioritization of SDG indicators, primarily in the context of stunting elimination at the district level in Indonesia. This study employed a combination of economic complexity and network theory, utilizing data from a comprehensive set of 54 indicators spanning 28 targets within 13 SDG goals in 514 districts. The analysis is based on network metrics, including revealed comparative advantage (RCA), proximity, centrality, and density to establish the SDG interlinkage network and identify key priority indicators. The findings highlight the importance of prioritizing indicators such as civil registration, health facilities and services, access to basic facilities and housing, and access to ICT in efforts to reduce stunting, particularly among disadvantaged households. Given the unique resources and capacities of each region, our analysis offers district-specific prioritization strategies for stunting elimination.

Industry Structure of Commercial Districts and the Impact of COVID-19

This paper aims to empirically analyze the difference in the closure rate of the commercial district according to the industry structure of the commercial district. Theoretically, the larger the number of stores in a commercial district, the greater the positive externality caused by the agglomeration economies in consumption, namely, the external economies of scale. However, the agglomeration economies could occur from comparison shopping or one-stop shopping, depending on the business structure of the commercial district. According to the empirical results of the regression analysis of all 1164 commercial districts in Korea, the more specialized a commercial district is by stores in a specific industry, the lower the closure rate of that commercial district. This means that the agglomeration economies in consumption are driven by comparison shopping rather than by one-stop shopping and implies that it is necessary to introduce incentives that allow stores in the same industry to cluster together in terms of policy. Meanwhile, if the closure is limited to a specific industry, it will cause an endogeneity problem since it affects the industry structure of the commercial district. Considering this, as a result of additional estimation by 2SLS and GMM using instrumental variables, the error in estimation due to the endogeneity problem was not large, confirming that COVID-19 corresponds to an overall external shock that is not limited to a specific industry. In addition, this paper presents diagnostic indicators for commercial districts to measure the impact of COVID-19. Through this, it will be possible to alleviate conflicts between social classes over compensation or subsidies for sanctions for quarantine. To the best of our knowledge, it is the first time to use all commercial districts in Korea for a research in evaluating the impact of COVID-19, and empirical results on agglomeration economies focusing on the consumption side are limited.

A Study on Establishing Thermal Output Conditions of Radiant Ceiling Heating Panels for Improving Thermal Comfort of Perimeter Zone in Buildings

Amid concerns over airflow-induced transmission of the COVID-19 virus in buildings frequented by large numbers of people, such as offices, the necessity for radiant ceiling heating panels has increased. This is due to the concern that the airflows emitted from the convection heating systems installed near the ceiling or windows for winter heating may be a major cause of COVID-19 transmission. In this study, we aim to evaluate thermal comfort under various indoor and outdoor environmental conditions of a building and present the thermal output conditions of the radiant ceiling heating panel that can replace the convection heating system while ensuring comfort in the perimeter zone and handling the heating load. As a result, we were able to present, in a chart format, the thermal output conditions that can secure thermal comfort by analyzing the indoor airflow distribution depending on the surface temperature of the radiant ceiling heating panel, the interior surface temperature of the window, and the influence of internal heat generation. Moreover, through derived empirical formulas, we were able to determine the heating conditions of the panel that can secure the necessary heat dissipation while minimizing discomfort, such as downdrafts, even for indoor and outdoor conditions that were not evaluated in this study.

Prediction of Stable Angina for Coronary Artery Diseases using Boosting Algorithm

Narrowed arteries block the blood flow to the heart muscle and other parts of the body, which can cause chest pain. Coronary arteries disease (CAD) can weaken the heart muscle causing heart failure, in which the heart cannot pump blood. A person with underlying diseases is more prone to get highly affected by COVID-19 because of the decreased immunity. Cardiovascular disease and coronary heart disease have been associated with worsened outcomes of COVID-19 patients. Thus, detecting CAD at a proper stage is crucial to avoid any further serious issues. This paper is an empirical analysis to predict stable angina for CAD using Histogram gradient boosting (HGB) and Adaboost (ADB) classifier algorithm and compared the performance with traditional Naïve Bayes (NB) algorithm. © 2023 IEEE.

Effects of COVID-19 on passenger shipping activities and emissions: empirical analysis of passenger ships in Danish waters

This paper focuses on the analysis of the COVID-19 effects on passenger shipping in Danish waters as an example and aims to analyse the differences in passenger vessel activities and emissions before and after the COVID-19 outbreak. Two sets of Automatic Identification System (AIS) data for the passenger ships sailing in Danish waters associated with the whole year respectively for 2020 and 2019 are used for a comprehensive evaluation of the passenger shipping activities in the region by means of the analysis of variance and bottom-up emission models. A comparison of those results based on the two datasets shows that the COVID-19 pandemic has a major impact on cruise ships, with a significant reduction in the number of ships, average speed, and average draught. In contrast, the pandemic has a smaller impact on ferry-pax only and ferry-ro pax vessels. The effects can also be seen from the fact that, after the COVID-19 outbreak, SOx emissions from cruise ships, ferry-pax only and ferry-ro pax vessels were reduced by 50.71%, 0.51% and 0.82%, respectively. This investigation provides an important reference for policy makers in the marine environment sector.

Women's Participation in Firms' Management and Their Impact on Financial Performance: Pre-COVID-19 and COVID-19 Period Evidence

At a time when gender equality is a key priority of all international organizations, this paper can be considered a remarkable contribution to the role of women executives in firms' performance. More specifically, this study focuses on the effect of women holding positions of responsibility on firms' performance worldwide. For the purposes of our research, we applied cross-sectional and panel data analysis for all sectors at an international level from 2019, the year preceding the breakout of the pandemic crisis, to 2021, while the indicators used to measure the participation of women in executive positions are classified as ESG indices. The empirical analysis findings end up showing that the participation of women in executive positions positively affects firms' performance over time, while there is no material change observed before and during the COVID-19 pandemic period. More specifically, when the percent of women processing job positions of responsibility increases by 10%, then the index of profitability will increase from 1.4% to 1.8%, regardless of the measurement of female participation in executive positions used. The results of this study constitute a remarkable contribution to the promotion of the creative economy, the progress of societies, and sustainable development. The research's outcome can be primarily used by policymakers drawing up policies for achieving gender equality in the labor market and workplaces and by shareholders and firms' managers in order to trust females in executive positions in favor of their firms' financial performance. The current study is unique in that it focuses on the period before and during the COVID-19 period, as a period of high volatility in economic activity worldwide, while the sample includes firms from large and mid-cap companies belonging to developed and emerging markets. The above approach will contribute to providing more credible information related to the role of women executives in firms' performance.

Evaluation Model of Business Sustainability: Analysis and Consolidation of Existing Approaches: Acces la Success

The concept and practicalities of sustainable business development attract increasing interest of general public, companies, legislators, activists, academics and many others. Our understanding of what constitutes sustainability is evolving, especially nowadays when the pandemic and digitalization caused major shifts globally. In such conditions, it is no wonder that managers and business owners may face difficulties in implementation and evaluation of sustainable practices. Therefore, The objective: of the paper is to examine theoretical foundations of the concept of business sustainability and propose an up-to-date model for its appraisal. The paper is divided into two primary parts in addition to introduction and conclusion. The first part is dedicated to the examination of the terms 'stability' and 'sustainability' universally and in business environment. The second part includes description of our suggested evaluation model of economic, social and environmental sustainability perspectives using relevant indicators. Methods/Analysis: the research includes review of academic literature and empirical research on the topic of business sustainability and analytical consolidation of existing approaches to its appraisal. Findings: theoretical contribution to perception and development of the conditions of business stability and sustainability, and evaluation model including specific indicators across the three primary sustainability directions. Application/Improvements: the research is useful to general public, but is of special interest to business leaders interested in implementation of sustainable practices.

Adopting the Enhanced Crafting Strategy to Predict Hotel Resilience: Acces la Success

The tourism and hospitality sectors all over the world have been somewhat decimated by the COVID-19 pandemic. However, there are still many hotels operating today despite the calamity. Given the complexity and unpredictability of the hotel industry environment, this study enhanced the Crafting Strategy (CS) notion by adding the experimenting dimension and provides empirical support for the enhanced CS capability to predict hotel resilience, which are the novelties of this study. This study explained the relationship between CS, planned resilience (PR), reactive resilience (RR), and resilience outcomes (RO). A mixed methods analysis was used to analyze data from 150 hotel senior managers in Bali Island, the hardest hit tourist destination in Indonesia. The result revealed that experimenting is indeed a strong contributor to CS. Furthermore, CS shows a positive and significant impact to PR and RR. PR also has a strong influence on RR and the relationship between PR and RO (recoverability, adaptation, and innovation) is mediated by RR. Positive impacts of recoverability and adaptation on financial performance were also shown. In conclusion, hotels need to build and strengthen both their PR, and RR as they are equally important for the RO that is crucial for sustainability.

The role of lean in healthcare during COVID-19 pandemic

PurposeThe impact of the COVID-19 pandemic on healthcare operations has raised questions about the applicability and capacity of the lean approach to respond to critical events. Thus, with a dearth of studies addressing this issue, this study aims to understand the role of lean in healthcare operations under the disruptive impact of the COVID-19 pandemic.Design/methodology/approachDrawing on a case study carried out in an emergency department in Brazil during the COVID-19 outbreak, the author presents results from semi-structured interviews and document analysis.FindingsThe results show three prominent themes that respond to this study's purpose: lean applicability during the pandemic, lean challenges during the pandemic and the pandemic impact on the lean processes. Furthermore, the study underscores that lean is not the panacea to operational problems caused by the pandemic in healthcare organisations, but it eases the impact on their operations. Finally, this study contributes to the discipline of operations management and highlights the need to rethink lean applications during disruptive events, focusing on flexibility, adaptability and patients' needs.Research limitations/implicationsThe literature addressing the pandemic impact on healthcare operations is still new and emerging;therefore, it is possible that some of the studies that are under review and could contribute to this study were not considered.Practical implicationsThe study provides a better understanding of the lessons learned from the real-world experiences gained during the pandemic, helping managers to make informed decisions when developing contingency plans to improve healthcare readiness and responsiveness under crisis conditions (e.g. untenable demand and constrained capacity).Originality/valueGiven the contemporary nature of this pandemic, only few emerging studies addressing the impact of the pandemic on lean healthcare operations are available and scholars are calling for more empirical studies. Furthermore, there is an increasing criticism and scepticism about the applicability of lean in healthcare during a pandemic. Thus, this research both provides original contributions by responding to scholars' calls for novel research in this area and further contributes towards filling the void in the literature.

Data mining analytics investigate WeChat users' behaviours: online social media and social commerce development

PurposeAs of December 2021, WeChat had more than 1.2 billion active users worldwide, making it the most active online social media in mainland China. The term social commerce is used to describe new online sales through a mix of social networks and/or peer-to-peer communication or marketing strategies in terms of allowing consumers to satisfy their shopping behaviour through online social media. Thus, given the numerous active users, the development of online social media and social commerce on WeChat is a critical issue of internet research.Design/methodology/approachThis empirical study takes WeChat as the online social media research object. Questionnaires for WeChat users in China were designed and distributed. All items are designed as nominal and ordinal scales (not Likert scale). The obtained data was put into a relational database (N = 2,342), and different meaningful patterns and rules were examined through data mining analytics, including clustering analysis and association rules, to explore the role of WeChat in the development of online social media and social commerce.FindingsPractical implications are presented according to the research findings of meaningful patterns and rules. In addition, alternatives to WeChat in terms of further development are also proposed according to the investigation findings of WeChat users' behaviour and preferences in China.Originality/valueThis study concludes that online social media, such as WeChat, will be able to transcend the current development pattern of most online social media and make good use of investigating users' behaviour and preferences, not only to stimulate the interaction of users in the social network, but also to create social commerce value in social sciences.

PREDICTIVE ABILITY OF FINANCIAL AND NON-FINANCIAL PERFORMANCE FOR FINANCIAL STATEMENT PUBLICATION TIME FRAME: MODERATING ROLE OF COVID-19 PANDEMIC

Objetivo: Este estudo examinou a capacidade de desempenho financeiro e nao financeiro na previsäo do tempo de publicaçao de relatórios financeiros, moderada pela pandemia da COVID-19. Referenciái teórico: A teoria dos sinais postula que a administraçâo desempenha um papel crucial no fornecimento de informaçöes as partes interessadas sobre as condiçöes da empresa (Brigham & Houston, 2001). De acordo com Spence (1973), as empresas estao motivadas a fornecer informaçöes relevantes as partes interessadas. Se as condiçöes de desempenho sao boas, a empresa tende a acelerar o processo de apresentaçao de demonstraçöes financeiras. Por outro lado, se o desempenho for ruim, há uma tendencia a atrasar a publicaçao dos relatórios financeiros. O longo período de tempo para a publicaçao de relatórios financeiros pode indicar más noticias que a empresa tem, de modo que ela ainda tem que publicar as noticias para o público. Scott (2015) sugere que quando os gerentes souberem que há noticias desfavoráveis sobre a condiçao da empresa no futuro, evitarao publicar estas informaçöes ou pelo menos atrasaräo a apresentaçao das demonstraçöes financeiras. Método: O desempenho financeiro foi medido por quatro indicadores: lucratividade, liquidez e solvencia. Enquanto isso, o desempenho nao financeiro variável foi medido pelo indice de boa governança corporativa (GCG) e pela reputaçao dos auditores. O modelo proposto foi testado com base nos dados quantitativos coletados de 156 empresas de manufatura listadas na Bolsa de Valores da Indonesia (IDX) a partir de 2018 e 2020. A análise de regressao múltipla foi realizada para analisar e interpretar os dados. Resultados e conclusao: O resultado indica que a solvencia, a boa governança corporativa e a reputaçao do auditor foram preditores significativos do período de publicaçao do relatório financeiro. Entretanto, a capacidade preditiva de rentabilidade e liquidez no prazo de publicaçao nao foi considerada significativa. Além disso, os resultados mostram que a pandemia da COVID-19 modera a capacidade de rentabilidade e boa governança corporativa na previsao do prazo de publicaçao. Implicates da pesquisa: O indicador de desempenho financeiro e nao financeiro dá resultados diferentes na previsäo do RWPLK das empresas de manufatura na Indonesia. ROA e CR nao sao capazes de prever o RWPLK, mas DER, GCG, KAP sao capazes de prever o RWPLK. O papel da pandemia COVID-19 foi capaz de moderar a capacidade de ROA e GCG em prever o prazo para publicaçao de relatórios financeiros, mas foi incapaz de moderar a capacidade de CR, DER e KAP em prever o RWPLK. Originalidade/valor: O presente estudo fornece a primeira evidencia empírica sobre o papel moderador da pandemia COVID-19 na capacidade preditiva do desempenho financeiro e nao financeiro para o prazo de publicaçao das demonstraçöes financeiras.Alternate :Purpose: This study examined the ability of financial and non-financial performance in predicting financial reports publication time frame as moderated by the COVID-19 pandemic. Theoretical framework: Signal theory postulates that management serves a crucial role in providing information to stakeholders regarding the condition of the company (Brigham & Houston, 2001). According to Spence (1973), companies are motivated to provide relevant information to stakeholders. If the performance conditions are good, the company tend to speed up the process of presenting financial statements. Conversely, if performance is poor, there is a tendency to delay the financial reports publication. The long span of time for the publication of financial reports can indicate bad news that the company has so that it has yet to publish the news to the public. Scott (2015) suggests that when managers know there is unfavorable news about the condition of the company in the future, they will avoid publishing this information or at least delay the presentation of financial statements. Method/design/approach: Financial performance was measured by four indicators: profita il ty, liquidity and solvency. Meanwhile, variable non-financial performance was measured by the index of good corporate governance (GCG) and auditor reputation. The proposed model was tested based on the quantitative data collected from 156 manufacturing companies listed on the Indonesia Stock Exchange (IDX) from 2018 and 2020. The multiple regression analysis was performed to analyze and interpret the data. Results and conclusion: Result indicates that solvency, good corporate governance, and auditor reputation were significant predictors of the time span of financial report publication. However, the predictive ability of profitability and liquidity on the publication timeframe was found to be not significant. Furthermore, the results show that the COVID-19 pandemic moderates the ability of profitability and good corporate governance in predicting the publication timeframe. Research implications: Financial and non-financial performance indicator gives different results in predicting the RWPLK of manufacturing companies in Indonesia. ROA and CR are not able to predict RWPLK, but DER, GCG, KAP are able to predict RWPLK. The role of the COVID-19 pandemic was able to moderate the ability of ROA and GCG in predicting the timeframe for publication of financial reports, but was unable to moderate the ability of CR, DER and KAP in predicting RWPLK. Originality/value: The present study provides the first empirical evidence on the moderating role of the COVID19 pandemic on the predictive ability of financial and non-financial performance for financial statement publication time frame.

Eco-Efficiency and Its Evolutionary Change under Regulatory Constraints: A Case Study of Chinese Transportation Industry

The transportation industry is characterized as a capital-intensive industry that plays a crucial role in economic and social development, and the rapid expansion of this industry has led to serious environmental problems, which makes the eco-efficiency analysis of the transportation industry an important issue. Previous research paid little attention to the regulatory scenarios and suffered from the incomparability problem, hence this paper aims to reasonably estimate the eco-efficiency and identify its evolutionary characteristics. We measure the eco-efficiency and the corresponding global Malmquist–Luenberger productivity index using a modified model of the data envelopment analysis framework, in which different regulatory constraints are incorporated. Based on the empirical study on the transportation industry of thirty provinces in China, we find that the eco-efficiency of Chinese transportation industry experienced a slight increase during 2015–2016, a sharp decline during 2016–2017, and a continuous rise since year 2017. The Middle Yangtze River area was the best performer among the eight regions in terms of eco-efficiency, while the Southwest area was placed last. The global Malmquist–Luenberger productivity index showed an earlier increase and later decrease trend, which was quite consistent with the reality of the variation of inputs and outputs and the emergence of COVID-19. Moreover, the best practice gap change was found to be the main driven force of productivity. The empirical results verify the practicability of our measurement models and the conclusions can be adopted in guiding the formulation of corresponding policies and regulations.