Research on risk identification of manufacturing enterprises' Internet strategic transformation.

The Communist Party of China's 19th National Congress underlined the necessity of speeding the development of a manufacturing powerhouse and advanced manufacturing sector by supporting the deep integration of the Internet, big data, artificial intelligence, and the real economy. This study employed principal component analysis to extract the prominent risk factors from questionnaire data in order to manage the risks connected with the Internet strategic transformation of manufacturing firms. To confirm the major risk factors, a structural equation modeling was created using Amos-24 software. The findings revealed that risk factors of Internet strategic transformation in manufacturing businesses are mostly expressed in equipment flexibility risks, organizational versatility risks, smart technology risks, Internet technology risks, flexible management risks, and financing management risks. The paper offers useful theoretical and practical insights into the risks of China's manufacturing businesses' Internet strategic transformation. The findings can assist manufacturing firms in better identifying and managing these risks, supporting their smooth transition to the Internet economy.

Does circular economy affect environmental performance? The mediating role of sustainable supply chain management: the case study in China.

Governments and professionals have recently tried to improve public environmental knowledge and laws in order to meet growing environmental concerns. As a result, most nations see corporate environmental initiatives like the circular economy and the green supply chain as important (GSCM) as the best ways to address environmental problems. As a result, this study tries to show how important GSCM and the circular economy are regarding the economy of China's relationship to environmental sustainability. This study uses the partial least square structural equation model (PLS-SEM) on data to obtain trustworthy results from 387 Chinese manufacturing companies. A favorable and statistically significant correlation between GSCM, environmental performance, and the circular economy was revealed using PLS-SEM analysis. To raise environmental standards, eco-friendly methods like buying and designing green items are widely regarded today. Imagine if manufacturing companies adopt green supply chain management, which would improve their economic performance and increase operational effectiveness. The secret to a successful corporation is having successful operations.

Digital finance and M&As: An empirical study and mechanism analysis.

With the rapid growth and wide application of digital technology, enterprises have entered the digital era with both opportunities and challenges existing. Mergers and acquisitions are one of the most efficient ways to integrate resources and achieve profit growth, giving enterprises advantages in competing in the new mode of economic growth. Based on this, this research tries to explore whether the development of digital finance will contribute to the emergence of M&As activities through combining M&As data of the Chinese stock market with the digital finance inclusion index between 2012 and 2020. The results show that the development of digital finance largely influences M&As activities through lower acquirers' financial constraints. We further replace digital finance with three sub-indexes including coverage breadth, usage depth, and digitalization level to explore the impact of different dimensions of digital finance on M&As. Results show that coverage breadth plays a more important role. In addition, heterogeneity tests reveal that the relationship between the development of digital finance and M&As activities varies significantly. The influences of digital finance on private and western and central enterprises are more significant compared with state-owned and eastern enterprises. According to the study, since the development of digital finance can be an efficient way to ease financial constraints and boost M&As activities, the government should promote the development of digital finance while companies strive to make the most use of it.

The link between green innovations, corporate performance, ESG activities, and sharing economy.

In current years (environment, social, and governance), ESG activities in various countries have been focus more attention their stakeholders by enterprises. The world largest developing country China. The Chinese registered Enterprises ESG performance helps to apprehend the deficiencies of their sustainable ability and development for boost the organizations value. Furthermore, enterprises must balance the allocation of resources between green innovation investment and ESG activities in the future as a result of the interaction effect between these two factors. This research examines the effects of environmental, social, and governance issues on financial and non-financial performance at registered Chinese manufacturing firms since 2009 to 2019. Green innovation is also tested as a moderating factor. Results show that environment, common, and governance performance has negative influence on the firm financial performance. On the other hand, its negative effects on financial performance will be enhanced. The environmental activities have negatively affected financial performance but green innovation has positively regulated them. Non-financial performance is positively impacted by the ESG performance. The ESG general performance and the environmental performance have positive influence on corporate reputation with the improvement of green innovation levels increase. Corporate financial performance is influenced by green innovation and social activities in a substitutional manner.

How to drive strategic green innovation behavior? A qualitative comparative analysis (QCA) based on Chinese manufacturing enterprises.

Green innovation is an important way for manufacturing enterprises to achieve green and high-quality development. The existing literature has ignored the heterogeneous motivations for enterprise green innovation. The strategic green innovation behavior (SGIB) aiming at seeking strategic differences and building core competitiveness is the necessary measure for enterprises to realize green transformation. Furthermore, the existing research studies the influencing factors of green innovation from a single perspective, ignoring the interaction of institutional and resource factors. Based on this, this study uses QCA to identify the driving mechanism of enterprise SGIB. The research collected questionnaire data from 199 manufacturing enterprises in China. The main results show that a single factor will not constitute a necessary condition for positive SGIB, but the not-high green dynamic capability is a necessary condition for negative SGIB. Positive SGIB includes four configuration paths: institution-ethics synergy, normative pressure oriented, environmental ethics oriented, and institutional incentive oriented. Lack of institutional pressure is the only configuration path that leads to negative SGIB. Further analysis found that environmental ethics and institutional pressure are the main forces to promote SGIB. After a series of robustness tests, the above basic conclusions did not change significantly. Based on the above conclusions, we believe that government departments, industry associations, and enterprises should form a joint force to enhance the level of institutional pressure and enterprise environmental ethics, promoting the implementation of strategic green innovation.

Integrated Impact of Circular Economy, Industry 4.0, and Lean Manufacturing on Sustainability Performance of Manufacturing Firms.

In today's business environment, contributions made by the manufacturing sector to the economy and social development is evident. With a focus on long-term development, the manufacturing sector has adopted advanced operating strategies, such as lean manufacturing, industry 4.0, and green practices in an integrated manner. The integrated impact of circular economy, industry 4.0, and lean manufacturing on sustainability performance has not been adequately addressed and investigated. Therefore, the aim of this study is to investigate the integrated impact of circular economy, industry 4.0, and lean manufacturing on the sustainability performance of organizations in Saudi Arabia. Data were collected through a questionnaire-based survey as a primary data instrument. A total of 486 organizations have responded to the survey within the timeframe. Moreover, the structural equation modeling method is utilized for data analysis through SmartPLS tool for the developed hypotheses of the research. The findings highlight the positive impact of circular economy on the sustainability of the organizations. Furthermore, the results indicate that industry 4.0 and lean manufacturing have positive mediating impacts as enablers for the successful implementation of circular economy toward the sustainable performance of organizations in Saudi Arabia. The study finding confirms that lean manufacturing is a substantial mediating variable that is essential for the successful implementation of industry 4.0 technologies. Moreover, the study indicates the recognition and acknowledgment of companies on circular economy principles, industry 4.0 technologies, and lean manufacturing tools to achieve the desired sustainability.

Supplier transaction, TMT characteristics, and the persistence of earnings: do their relationship contribute towards sustainable performance of Chinese listed manufacturing sector firms?

The construction of supplier transaction is one of the strategic choices of many firms. However, the impact of business strategies on the persistence of earnings remains to be further investigated. The innovation of this paper lies in interpreting the impact of supplier transaction on earnings persistence from the perspective of characteristics of the top management team (TMT). We consider Chinese listed manufacturing firms from 2012 to 2019 to examine the relationship between the supplier transaction and the persistence of earnings. Statistical results show that supplier transaction characteristics of the TMT have a significant moderating effect on the relationship between the supplier transaction and the persistence of earnings. This implies that the behavior of TMT can be vital to the firm in maintaining sustainable performance. The higher age level or longer average tenure of TMT can significantly improve the positive effect of the supplier transaction tenure heterogeneity of TMT that will significantly improve the negative effect. This paper expands the literature on supplier relationship, and corporate earnings from a new perspective that improves the empirical evidence of the upper echelons theory, and also provides evidence support for the construction of supplier relationship and TMT.

The coordinated development of manufacturing industry and logistics industry in the Yangtze River Economic Belt: Empirical study by stages based on Haken Model.

It has great significance for improving the logistics service ability of the Yangtze River economic belt, optimizing the industrial structure of manufacturing industry, and realizing the integrated development of the Yangtze River economic belt to explore the collaborative evolution of logistics industry and manufacturing industry in the Yangtze River economic belt, and identify the leading position of the collaborative development of the two industries, so as to. Based on the Haken Model, this paper summarizes the coevolution law of logistics industry and manufacturing industry in the Yangtze River economic belt through two-stage empirical analysis, and identifies the order parameters of the co-development of logistics industry and manufacturing industry. The results show that the overall degree of coordination between the logistics industry and the manufacturing industry in the Yangtze River economic belt is high. And the order parameter has been changed from manufacturing industry in 2003-2009 to logistics industry in 2010-2017. The gap between regions has been reduced, and the western region has the advantage of post development.

Effect of lean manufacturing tools on sustainability: the case of Mexican maquiladoras.

The Mexican maquiladora industry is applying Lean Manufacturing Tools (LMT) in its production lines; however, few studies have investigated its relationship with sustainability (social, economic, and environmental). This paper presents a second-order structural equation model (SEM) relating 8 LMT integrated into three independent latent variables: continuous improvement (Kaizen and Gemba), supporting tools (Andon, visual management, and Poka-yoke), and machinery and equipment (total productive maintenance, overall equipment effectiveness, and Jidoka) that are related to social, economic, and environmental sustainability as dependent variables. The model is validated with information obtained from 249 companies using partial least squares. Findings show that the application of LMT in the Mexican maquiladora industry avoids the generation of waste and reprocessing. Likewise, the improvement of production processes reduces the waste emitted into the environment and reduces energy consumption. Also, when companies have environmental programs, the work environment is safe, and labor relations are improved, increasing morale and the commitment to work for the company, gaining economic and ecological benefits.

Research on the evolution and driving forces of the manufacturing industry during the "13th five-year plan" period in Jiangsu province of China based on natural language processing.

The development of China's manufacturing industry has received global attention. However, research on the distribution pattern, changes, and driving forces of the manufacturing industry has been limited by the accessibility of data. This study proposes a method for classifying based on natural language processing. A case study was conducted employing this method, hotspot detection and driving force analysis, wherein the driving forces industrial development during the "13th Five-Year plan" period in Jiangsu province were determined. The main conclusions of the empirical case study are as follows. 1) Through the acquisition of Amap's point-of-interest (POI, a special point location that commonly used in modern automotive navigation systems.) data, an industry type classification algorithm based on the natural language processing of POI names is proposed, with Jiangsu Province serving as an example. The empirical test shows that the accuracy was 95%, and the kappa coefficient was 0.872. 2) The seven types of manufacturing industries including the pulp and paper (PP) industry, metallurgical chemical (MC) industry, pharmaceutical manufacturing (PM) industry, machinery and electronics (ME) industry, wood furniture (WF) industry, textile clothing (TC) industry, and agricultural and food product processing (AF) industry are drawn through a 1 km× 1km projection grid. The evolution map of the spatial pattern and the density field hotspots are also drawn. 3) After analyzing the driving forces of the changes in the number of manufacturing industries mentioned above, we found that manufacturing base, distance from town, population, GDP per capita, distance from the railway station were the significant driving factors of changes in the manufacturing industries mentioned above. The results of this research can help guide the development of manufacturing industries, maximize the advantages of regional factors and conditions, and provide insight into how the spatial layout of the manufacturing industry could be optimized.

Assessment of COVID-19 control strategies in a steel industry using a SWOT matrix.

According to the health regulations, industrial environments due to the gathering of people are considered as one of the highest-risk places during the COVID-19 pandemic. Thus, planning with regard to health concerns can decisively help in infection control and continuity of businesses during the pandemic. The aim of this study was to evaluate the COVID-19 control management measures in the Sepid-farab Kavir Steel Complex (SKS complex) located in Isfahan province (Iran) using strengths, weaknesses, opportunities, and threats (SWOT) matrix. After a literature review and field surveys, all weak, strong, threatening, and opportunity points were collected and were listed using the internal factor evaluation (IFE) and external factor evaluation (EFE) matrices and then were prioritized and weighted. Next, given the sum of scores of IFE and EFE, the SWOT matrix was constructed, the disease prevention and control strategies in the complex was determined, and finally, experts proposed corrective measures to improve the current situation. The results of the IFE matrix (IFE) analysis showed that in terms of corona control, there are more weaknesses than strengths within the company (the score of this matrix was 201.12). Also the score of 165 on the EFE matrix indicated that external threats were predominant, compared to external opportunities of company. SWOT analysis showed that despite some external problems and challenges, the existence of a favorable internal decision-making system had an important role in developing appropriate health strategies and implementing effective prevention measures in SKS complex against the COVID-19.

Practical considerations for spirometry during the COVID-19 outbreak: Literature review and insights.

BACKGROUND: As the Coronavirus disease 2019 (COVID-19) is spreading worldwide, countries are dealing with different phases of the pandemic. Lately, scientific evidence has been growing about the measures for reopening respiratory outpatient services during the COVID-19 pandemic. We aim to summarize the key differences and similarities among recommendations by different national and international organizations. METHODS: We searched on Google and Pubmed for recently published National and International Recommendations/Guidelines/Position Papers from professional organizations and societies, offering a guidance to physicians on how to safely perform pulmonary function testing during COVID-19 pandemic. We also searched for spirometry manufacturers' operational indications. RESULTS: Indications on spirometry were released by the Chinese Task force, the American Thoracic Society, the European Respiratory Society, the Thoracic Society of Australia and New Zealand, the Société de Pneumologie de Langue Française, the Spanish Societies (Sociedad Espanola de Neumologia y Cirugia Toracica, Sociedad Espanola de Alergologia e Inmunologia Clinica, Asociacion de Especialistas en Enfermeria del trabajo, Asociacion de Enfermeria Comunitaria), the Sociedade Portuguesa de Pneumologia, the British Thoracic Society/Association for Respiratory Technology & Physiology, the Irish Thoracic Society, the Sociedad Uruguaya de Neumologia, the Italian Thoracic Society and the Italian Respiratory Society, Cleveland Clinic and Nebraska Medical Center. Detailed technical recommendations were found on manufacturers' websites. We found several similarities across available guidelines for safely resuming pulmonary function services, as well as differences in criteria for selecting eligible patients for which spirometry is deemed essential and advice which was not homogenous on room ventilation precautions. CONCLUSIONS: This study shows a synthesis of national/international guidelines allowing practicing physicians to adapt and shape the way to organize their outpatient services locally. There is generally good agreement on the importance of limiting pulmonary function testing to selected cases only. However, significant differences concerning the subsets of candidate patients, as well as on the management of adequate room ventilation, were observed.

Does Environmental Regulation Affect Export Quality? Theory and Evidence from China.

Most studies focus on the empirical investigation of the relationship between environment and trade, but they lack a systematic theoretical framework. To fill this gap, this study constructs an analytical framework of export competitiveness from the perspective of product quality, and reveals the theoretical mechanism of environmental regulation affecting export quality. We empirically examine the impact of environmental regulation on the export quality of China's manufacturing industry, as well as its possible mechanism. Our findings show that environmental regulation can significantly promote the export quality upgrading of the manufacturing industry and that process and product productivity are two possible channels through which such regulation affects export quality, although their mediating effects are in opposite directions. The mediating effect of product productivity is greater than that of process productivity, indicating that environmental regulation mainly has an innovation offset effect on China's manufacturing industry. For pollution-intensive industries, environmental regulation plays a significant promoting role through the channel of product productivity, but, for clean industries, environmental regulation has an inhibitory effect through the channel of process productivity. These findings provide important enlightenment for the coordinated development of China's ecological civilization and trade power.

Crafting Jobs for Occupational Satisfaction and Innovation among Manufacturing Workers Facing the COVID-19 Crisis.

China's manufacturing employees are confronted with unprecedent occupational and innovation challenges caused by the ongoing COVID-19 crisis coupled with the pressure of being replaced by digital technologies. To gain a better understanding of the rising occupational uncertainty during this critical time, based on the job demands-resources (JD-R) theory, we examined the associations of employees' job crafting behaviors (JCB) with their occupational satisfaction and innovation workplace behavior (IWB), as well as the mediating effect of work engagement on the above relationships. The final usable data were obtained from the formal survey of 311 employees of six manufacturing companies that have returned to work amid COVID-19. Structural equation modelling was adopted to analyze the data. Results show that employees' JCB strengthens their occupational satisfaction and IWB via work engagement. Theoretically, our research enriches the existing body of knowledge about JCB from a cross-disciplinary angle integrating the perspectives of career and psychology. Practically, we offer valuable first-hand evidence about how manufacturing employees conducted JCB to re-orient their careers and to innovate in the face of the high unemployment situation.

Medical Science Liaisons (MSL) in Africa: a perspective.

The role of a Medical Science Liaison (MSL) is of growing importance to pharmaceutical, biotechnology, diagnostic and medical device companies. Through scientific engagement MSLs add value to clinical practice, ultimately benefiting patients. The MSL role is dynamic and encompasses in-depth product and disease knowledge together with the ability to communicate relevant, unbiased scientific information concisely and timely. Tasks are focused on contributing towards the advancement of medical knowledge, scientific data generation and dissemination. Professional relationships are developed, fostering collaboration between external experts and typically the medical affairs departments of pharmaceutical companies through a credible liaison. Through such relationships, critical insights are shared that shape the development pipeline, promote successful clinical translation and guide the market deployment strategy of therapeutic interventions through-out their life cycle. Despite the rising number of MSLs in the field and the implicit medical value of the role, there remains a lack of understanding for what the roles of a MSL entails. In Africa, where exponential growth of the pharmaceutical industry is expected, the number of MSLs will increase rapidly. Given the complexities of the African continent, the MSLs in this burgeoning environment will face various challenges including remote locations, time-constraints, regulatory and bureaucratic hurdles and importantly physician misperception of the MSL role that collectively may thwart the goal of meaningful scientific engagement; but these challenges can be surmounted through astute proactive planning and utilization of opportunities including digital communication strategies.

Managing pollution from antibiotics manufacturing: charting actors, incentives and disincentives.

BACKGROUND: Emissions of high concentrations of antibiotics from manufacturing sites select for resistant bacteria and may contribute to the emergence of new forms of resistance in pathogens. Many scientists, industry, policy makers and other stakeholders recognize such pollution as an unnecessary and unacceptable risk to global public health. An attempt to assess and reduce such discharges, however, quickly meets with complex realities that need to be understood to identify effective ways to move forward. This paper charts relevant key actor-types, their main stakes and interests, incentives that can motivate them to act to improve the situation, as well as disincentives that may undermine such motivation. METHODS: The actor types and their respective interests have been identified using research literature, publicly available documents, websites, and the knowledge of the authors. RESULTS: Thirty-three different actor-types were identified, representing e.g. commercial actors, public agencies, states and international institutions. These are in complex ways connected by interests that sometimes may conflict and sometimes pull in the same direction. Some actor types can act to create incentives and disincentives for others in this area. CONCLUSIONS: The analysis demonstrates and clarifies the challenges in addressing industrial emissions of antibiotics, notably the complexity of the relations between different types of actors, their international dependency and the need for transparency. The analysis however also suggests possible ways of initiating incentive-chains to eventually improve the prospects of motivating industry to reduce emissions. High-resource consumer states, especially in multinational cooperation, hold a key position to initiate such chains.

The association between effective workplace communication with superiors and lower psychological distress among workers in the evacuation area after the Fukushima Daiichi Nuclear Power Plant accident.

OBJECTIVES: Well-managed workplace communication may promote well-mental health status among workers, even those who may have experienced drastic changes in their workplace and living environment after the Fukushima Daiichi Nuclear Power Plant accident. This study aimed to compare the workplace and living environment of workers in the evacuation area to the non-evacuation area, as well as the association between workplace communication and psychological distress. METHOD: This cross-sectional questionnaire survey was conducted in two manufacturing companies in the evacuation area and a company in the non-evacuation area. Psychological distress was defined by a Kessler K6 distress scale score ≥5. Workplace communication was measured by the status of communication ("Do you feel that you can talk freely?") and consultation ("Can you consult when having troubles?") with superiors, managers and colleagues. Work burden, overtime, and irregular mealtimes as changes in the workplace and domestic life were determined. Differences in the workplace and living environment were compared using the chi-squared test, with the association between workplace communication and psychological distress analyzed by logistic regression. RESULTS: The proportion of workers with an increased work burden, overtime, and irregular meals was significantly higher among workers in the evacuation areas. There was also a significant association between low-psychological distress status and communication and consultation with superiors or managers, with no significant association with colleagues. CONCLUSION: Only workplace communication with superiors or managers was associated with low-psychological distress, even after drastic changes in the workplace. Therefore, superiors or managers should initiate open communication and active consultation after a disaster.

Workplace violence in Bangladesh's garment industry.

Workplace violence (WPV) is widely reported in the Bangladeshi garment industry, impacting women workers' health and wellbeing. We explore factors associated with female workers experience or witnessing of WPV and perpetration by managers, in eight Bangladeshi garment factories. We hypothesise workers' experience of WPV is associated with i) individual factors, potentially impacting productivity (age, depression, length of work, and disability/functional limitations), ii) experience of intimate partner violence (IPV), and iii) factory culture (management styles, and adherence to laws around workers' rights). We hypothesise that managers' perpetration of emotional WPV is associated with their perceptions of female workers (indicated by their patriarchal gender attitudes and hierarchal attitudes), and whether they experience work related stress and burnout. Cross-sectional data were collected from eight self-selecting garment factories in Bangladesh, between September and December 2016 (800 female workers, 395 managers). Data were analysed with multivariable linear regression modelling. In the past four weeks, 73.5% of workers reported experiencing or witnessing physical or emotional WPV, while 63.5% of managers reported perpetrating emotional WPV. Workers' experience or witnessing of WPV was associated with more depressive symptoms (ß 0.04, 95%CI 0.01, 0.07), more functional limitations (moderate limitations ß 1.32 95%CI 0.22, 2.42), experience of IPV (ß 2.78 95%CI 2.11, 3.44), and factory culture (challenges accessing leave (ß 3.69 95%CI 2.68, 4.70), and perceptions of more coercive management practices (ß 0.41 95%CI 0.32, 0.50). Managers' perpetration of emotional WPV was associated with higher levels of burnout (ß 0.02 95%CI 0.01, 0.04), and more hierarchical attitudes towards workers (ß 0.33 95%CI 0.21, 0.45). These findings suggest the global manufacturing regime of 'Just-in-Time' (JIT) production, emphasising short-turnaround times and high levels of productivity, combined with hierarchical attitudes towards workers, are important factors shaping WPV.

How Do Anticipated and Self Regulations and Information Sourcing Openness Drive Firms to Implement Eco-Innovation? Evidence from Korean Manufacturing Firms.

Building upon institutional theory and the concept of openness to external sources in terms of breadth and depth, this study investigates the following three understudied drivers of eco-innovation in terms of external and internal factors: Anticipated regulation and self-regulation as external drivers, and information sourcing openness comprised of breadth and importance as internal drivers. Toward this end, this study employs a sample of 1824 Korean manufacturing firms collected from the Korean Innovation Survey 2010, which is compatible with the Oslo Manual and the Eurostat Community Innovation Survey (CIS). The current research adopts a multivariate probit model for the nine binary outcome variables and a zero-inflated negative binomial (ZINB) regression model for a count variable. It is found that, both anticipated regulation and self-regulation positively affect eco-process innovation and eco-product innovation across all of the nine eco-innovation types. The empirical findings on the effects of the breadth of external sources and the importance of used information acquired from external sources for innovative activities indicate that both the breadth and the importance have positive impacts on the number of types of eco-innovation with which a firm is engaged.