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      COVID-19’s fear-uncertainty effect on green supply chain management and sustainability performances: the moderate effect of corporate social responsibility

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          Abstract

          Abstract

          Although the COVID-19 pandemic disrupted the global supply chains, it also provided opportunities that brought the concepts of sustainability and green practices back into the light. Based on the “stakeholders” and “social cognitive” theory, our study intends to empirically explore how fear-uncertainty towards COVID-19 relates positively to both green supply chain management (GSCM) and the firm’s sustainability performance (economic, environmental, and social). In addition, it examines the moderating effect of corporate social responsibility (CSR) (internal CSR and external CSR) on the association between fear-uncertainty towards COVID-19 and GSCM. In this study, we studied a sample of 300 manager-level employees in Egypt. We used partial least squares structural equation modeling (PLS-SEM) to analyze the data and test our hypotheses. Results showed that fear-uncertainty towards COVID-19 positively affect GSCM. Also, external CSR moderates the association among fear-uncertainty towards COVID-19 and GSCM. But it is not moderated by internal CSR. In addition, GSCM positively affects environmental and social performance. However, it has an insignificant effect on economic performance. Besides, GSCM has a significant mediation effect between fear-uncertainty towards COVID-19 and the firm’s environmental and social performance. However, this mediation relationship regarding economic performance is insignificant. Finally, we discussed the theoretical and practical implications at the end of this research.

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          The online version contains supplementary material available at 10.1007/s11356-022-21304-9.

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          Immediate Psychological Responses and Associated Factors during the Initial Stage of the 2019 Coronavirus Disease (COVID-19) Epidemic among the General Population in China

          Cuiyan Wang, Riyu Pan, Xiaoyang Wan … (2020)
          Background: The 2019 coronavirus disease (COVID-19) epidemic is a public health emergency of international concern and poses a challenge to psychological resilience. Research data are needed to develop evidence-driven strategies to reduce adverse psychological impacts and psychiatric symptoms during the epidemic. The aim of this study was to survey the general public in China to better understand their levels of psychological impact, anxiety, depression, and stress during the initial stage of the COVID-19 outbreak. The data will be used for future reference. Methods: From 31 January to 2 February 2020, we conducted an online survey using snowball sampling techniques. The online survey collected information on demographic data, physical symptoms in the past 14 days, contact history with COVID-19, knowledge and concerns about COVID-19, precautionary measures against COVID-19, and additional information required with respect to COVID-19. Psychological impact was assessed by the Impact of Event Scale-Revised (IES-R), and mental health status was assessed by the Depression, Anxiety and Stress Scale (DASS-21). Results: This study included 1210 respondents from 194 cities in China. In total, 53.8% of respondents rated the psychological impact of the outbreak as moderate or severe; 16.5% reported moderate to severe depressive symptoms; 28.8% reported moderate to severe anxiety symptoms; and 8.1% reported moderate to severe stress levels. Most respondents spent 20–24 h per day at home (84.7%); were worried about their family members contracting COVID-19 (75.2%); and were satisfied with the amount of health information available (75.1%). Female gender, student status, specific physical symptoms (e.g., myalgia, dizziness, coryza), and poor self-rated health status were significantly associated with a greater psychological impact of the outbreak and higher levels of stress, anxiety, and depression (p < 0.05). Specific up-to-date and accurate health information (e.g., treatment, local outbreak situation) and particular precautionary measures (e.g., hand hygiene, wearing a mask) were associated with a lower psychological impact of the outbreak and lower levels of stress, anxiety, and depression (p < 0.05). Conclusions: During the initial phase of the COVID-19 outbreak in China, more than half of the respondents rated the psychological impact as moderate-to-severe, and about one-third reported moderate-to-severe anxiety. Our findings identify factors associated with a lower level of psychological impact and better mental health status that can be used to formulate psychological interventions to improve the mental health of vulnerable groups during the COVID-19 epidemic.
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            Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

            Claes Fornell, David Larcker (1981)
            Article 0 comments Cited 3037 times – based on 0 reviews     Review now
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              Sources of method bias in social science research and recommendations on how to control it.

              Philip M. Podsakoff, Scott B. MacKenzie, Nathan P. Podsakoff (2012)
              Despite the concern that has been expressed about potential method biases, and the pervasiveness of research settings with the potential to produce them, there is disagreement about whether they really are a problem for researchers in the behavioral sciences. Therefore, the purpose of this review is to explore the current state of knowledge about method biases. First, we explore the meaning of the terms "method" and "method bias" and then we examine whether method biases influence all measures equally. Next, we review the evidence of the effects that method biases have on individual measures and on the covariation between different constructs. Following this, we evaluate the procedural and statistical remedies that have been used to control method biases and provide recommendations for minimizing method bias.
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                Author and article information

                Contributors
                Moustafa Mohamed Nazief Haggag Kotb Kholaif:
                ORCID: http://orcid.org/0000-0001-6400-5132
                moustafahaggag87@163.com
                Xiao Ming: xiaoming@ustb.edu.cn
                Journal
                Journal ID (nlm-ta): Environ Sci Pollut Res Int
                Journal ID (iso-abbrev): Environ Sci Pollut Res Int
                Title: Environmental Science and Pollution Research International
                Publisher: Springer Berlin Heidelberg (Berlin/Heidelberg )
                ISSN (Print): 0944-1344
                ISSN (Electronic): 1614-7499
                Publication date (Electronic): 16 June 2022
                Pages: 1-22
                Affiliations
                GRID grid.69775.3a, ISNI 0000 0004 0369 0705, School of Economics and Management, , University of Science and Technology Beijing, ; 30 Xueyuan Road, Haidian District, Beijing, 100083 China
                Author notes

                Responsible Editor: Philippe Garrigues

                Author information
                http://orcid.org/0000-0001-6400-5132
                Article
                Publisher ID: 21304
                DOI: 10.1007/s11356-022-21304-9
                PMC ID: 9201273
                SO-VID: 10797903-e66a-42d6-a0c0-ce339b6d04c9
                Copyright © © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022
                License:

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                Date received : 31 August 2021
                Date accepted : 1 June 2022
                Categories
                Subject: Post COVID Green Supply Chain Opportunities and Challenges

                ScienceOpen disciplines: General environmental science
                Keywords: fear-uncertainty,covid-19,green supply chain management,corporate social responsibility,sustainability performance
                Data availability:
                ScienceOpen disciplines: General environmental science
                Keywords: fear-uncertainty, covid-19, green supply chain management, corporate social responsibility, sustainability performance

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