Credit Risk Assessment of Small and Medium-Sized Enterprises under the Financial Model of Online Supply Chain

The rapid development of Internet technology meant that online supply chain finance has become an important source of small- and medium-sized enterprise (SME) finance. From a review of associated studies, this study constructed an online supply chain financial credit risk evaluation index system that had eleven level 2 indicators and 28 level 3 indicators for the four dimensions of financing enterprise qualification, core enterprise qualification, supply chain operations, and the macroenvironment. To assess the viability of this indicator system, data on 368 SMEs in four industries, clothing, home appliances, pharmaceutical, and construction, were selected as research samples. An online supply chain financial credit risk evaluation model for the different industries was then constructed using principal component analysis (PCA) and logistic regression methods. It was concluded that when evaluating online supply chain financial credit risk, it is necessary to focus on the solvency, profitability, and asset structure efficiencies of the financing enterprises. Due to the different production and operating characteristics of industries, significant variations in the degree and direction of the credit risk factors between industries were found;therefore, evaluating credit risks by industry significantly improved the accuracy of the model's credit risk predictions. For example, home appliance SMEs need to pay greater attention to their inventory turnover and construction industry SMEs should pay greater attention to their sales growth rate, return on common stockholders' equity, and GDP growth rate. Based on these results, some suggestions for commercial banks, supply chain core enterprises, and SMEs are given to improve supply chain financing. The conclusion of this study enriches the related research on credit risk assessment of SMEs and also provides decision support for improving SMEs to prevent credit risk.

Contingent conditions on the effectiveness of salesperson acquisition-retention ambidexterity: the motivation–opportunity–ability framework

Purpose>This study aims to investigate moderators affecting the impact of salesperson acquisition-retention (AR) ambidexterity on sales performance based on the motivation-opportunity-ability (MOA) framework.Design/methodology/approach>The authors collected triadic data through 391 questionnaires from salespeople, 50 questionnaires from sales managers and archival data about each salesperson’s performance. Hierarchical linear modeling was applied to test the hypotheses.Findings>The results indicate that salesperson AR ambidexterity positively affects sales performance. The positive effect is strengthened by capability control but weakened by outcome control and activity control. The authors also find that sales experience and market attractiveness hurt the effectiveness of salesperson AR ambidexterity.Research limitations/implications>First, this study does not examine the mediating mechanism underlying the effect of salesperson AR ambidexterity. Second, sales-service ambidexterity is another ambidextrous variable for salespeople. Future research can consider AR and sales-service ambidexterity together.Practical implications>First, managers should be cautious when encouraging experienced salespeople to conduct AR ambidexterity. Second, managers need to use capability control to motivate salespeople with AR ambidextrous behaviors. Third, AR ambidexterity could be not required in a market with many opportunities.Originality/value>Although some studies have examined the effectiveness of salesperson AR ambidexterity, they reveal inconsistent findings, which suggest contingent conditions on the effectiveness of salesperson AR ambidexterity. However, the attention on the contingent conditions is limited. Therefore, this paper systematically investigates the contingent conditions from the MOA framework. The findings provide some insights into when salesperson AR ambidexterity is effective.

Predictors of Severe Acute Respiratory Syndrome Coronavirus 2 Infection Following High-Risk Exposure.

BACKGROUND: Non-pharmaceutical interventions (NPIs) are recommended for COVID-19 prevention. However, the effectiveness of NPIs in preventing SARS-CoV-2 transmission remains poorly quantified. METHODS: We conducted a test-negative design case-control study enrolling cases (testing positive for SARS-CoV-2) and controls (testing negative) with molecular SARS-CoV-2 diagnostic test results reported to California Department of Public Health between 24 February-12 November, 2021. We used conditional logistic regression to estimate adjusted odds ratios (aORs) of case status among participants who reported contact with an individual known or suspected to have been infected with SARS-CoV-2 ("high-risk exposure") ≤14 days before testing. RESULTS: 751 of 1448 cases (52%) and 255 of 1443 controls (18%) reported high-risk exposures ≤14 days before testing. Adjusted odds of case status were 3.02-fold (95% confidence interval: 1.75-5.22) higher when high-risk exposures occurred with household members (vs. other contacts), 2.10-fold (1.05-4.21) higher when exposures occurred indoors (vs. outdoors only), and 2.15-fold (1.27-3.67) higher when exposures lasted ≥3 hours (vs. shorter durations) among unvaccinated and partially-vaccinated individuals; excess risk associated with such exposures was mitigated among fully-vaccinated individuals. Cases were less likely than controls to report mask usage during high-risk exposures (aOR = 0.50 [0.29-0.85]). The adjusted odds of case status was lower for fully-vaccinated (aOR = 0.25 [0.15-0.43]) participants compared to unvaccinated participants. Benefits of mask usage were greatest among unvaccinated and partially-vaccinated participants, and in interactions involving non-household contacts or interactions occurring without physical contact. CONCLUSIONS: NPIs reduced the likelihood of SARS-CoV-2 infection following high-risk exposure. Vaccine effectiveness was substantial for partially and fully vaccinated persons.

COVID-19-related post-traumatic growth in the general public: a cross-sectional study from Yunnan, China.

To investigate post-traumatic growth induced by COVID-19 pandemic in certain Yunnan residents and to analyze its influencing factors. A total of 581 permanent residents of Yunnan province completed the electronic questionnaire from 18 April 2020 to 26 April 2020. Logistic regression analysis showed that the educational levels, self-perceived health status, family history of infectious diseases, family history of infectious diseases, personality and frequency of going through COVID-19 related news were influencing factors of PTG (P < 0.05). As a traumatic event, the threat of COVID-19 may enable some people to gain positive psychological development in adversity. This will provide reference for public psychological crisis intervention following the COVID-19 pandemic.

Psychological distress in the shadow of the COVID-19 pandemic: Preliminary development of an assessment scale.

COVID-19 is now spreading worldwide, and poses some public mental health problems which requires close attention. This study aims to develop a scale of COVID-19 related psychological distress in healthy public (CORPD) to assess the severity of psychological distress in uninfected healthy populations. We compiled a 14-item scale which contains two dimensions- Anxiety & fear and Suspicion -using the classical measurement theory. 652 Chinese citizens consented and completed a survey through an online questionnaire APP. The reliability test showed that the scale had good internal consistency reliability and Split-Half reliability, and the validity test showed that it had good structure validity, content validity and criterion correlation validity. This scale can be used to assess the psychological distress of people in China and in other COVID-19-hit regions and countries. It also provides a reference for future studies on COVID-19 or other respiratory infectious diseases related public mental health.