Drivers of digital supply chain transformation in SMEs and large enterprises – a case of COVID-19 disruption risk

PurposeDigital transformation in supply chains (SCs) has emerged as one of the most effective ways to minimize SC disruption risks. Given the unprecedented impact of the COVID-19 pandemic on global SCs, this study aims to identify and provide empirical evidence about the drivers of digital SC transformation, considering the interactivity between environmental dynamism, technology, and organizational capabilities during the pandemic era.Design/methodology/approachUsing partial least squares structural equation modeling (PLS-SEM), this study examines 923 firms in Vietnam to ascertain the drivers of digital SC transformation between small- and medium-sized enterprises (SMEs) and large enterprises, based on the technology–organization–environment (TOE) as an overarching framework.FindingsThis study finds that greater digital SC transformation adoption could be achieved under the interactivity between the TOE components of firms' technological competencies, learning capabilities, and disruptions in socioeconomic environments due to the COVID-19 pandemic. Moreover, a multigroup analysis shows that the drivers of digital SC transformation differ between SMEs and large enterprises. SMEs were found to be more motivated by the COVID-19 disruption risk when adopting digital SC models.Originality/valueThis study represents an original and novel contribution from Vietnam as an emerging market to the literature on the impact of COVID-19 on the global value chain. Apart from the unique dataset at the firm level, the analysis of interactions between external and internal drivers of digital SC transformation could provide crucial managerial implications for SMEs to survive major disruptions, such as those caused by the COVID-19 pandemic.

Drivers of medical spending behaviour amid the COVID-19 pandemic: Heuristic or systematic.

BACKGROUND: The COVID-19 pandemic has been creating unprecedented chaos and it could forever alter the way people live and work. Experiencing multiple waves of pandemic attacks could make people evolve their perceived risks about the health crisis, change their healthcare behaviours and medical spending to deal with the changing threats over time. OBJECTIVES: Even though there has been a great dealt of research on personal healthcare behaviours during the COVID-19 pandemic, the individual decision on medical spending has not been well explored. This study uses the health belief model and heuristic-systematic information processing theory to study the key drivers of medical spending behaviour as the COVID-19 pandemic evolved in Vietnam. METHODS: Two surveys were conducted during the first (April 2020) and second waves (August 2020) of the COVID-19 pandemic resulted in a sample size of 1037 cases. The partial least square structural equation modeling (PLS-SEM) technique was employed to explore the structural relationships between health-seeking behaviours, pandemic perceived risks, panic buying, and demographic factors and how these sets of factors drive medical spending behaviours over time. RESULTS: Comparing the two pandemic waves, this study finds significant distinctions in how people evaluate the risks of the pandemic and process information to make decisions about their medical spending. People were primarily influenced by the heuristic processes of panic buying patterns (ß = 0.313, p < 0.001) and the health-related established habits in the first wave. Only in the second wave of the pandemic, the impact of the COVID-19 pandemic perceived risk has been recognized as a significant factor on medical spending via the comparison between perceived risks of the first and second pandemic waves (ß = 0.262, p < 0.001). CONCLUSIONS: This study explores how individuals formulate their spending decisions in extreme conditions and provide valuable insights to help governments and institutions plan their policies to combat the COVID-19 pandemic more effectively.

The foreign investors' behaviours during the COVID-19 pandemic in emerging market

International capital inflows contribute a critical part to macroeconomic stability and financial market growth for an emerging economy. As the COVID-19 pandemic has triggered unprecedented chaos in the financial markets recently, this study attempts to explore the current foreign investors' behaviours and their impacts on the stock market performance in an emerging market. This study found long-term relationships between foreign investors' trading behaviours and stock market returns. However, the COVID-19 pandemic is distinctive from previous financial crises regarding its impacts on foreign investors' trading behaviours. Responding to shocks of the COVID-19 pandemic, foreign investors have changed their trading behaviours dramatically and somehow lost their role as a trend leader to domestic retail investors in the market.

Digital supply chain transformation: effect of firm’s knowledge creation capabilities under COVID-19 supply chain disruption risk

Digital supply chain (SC) transformation has emerged as a way to improve information sharing, better manage demand, and reduce costs in supply chain management. However, the majority of firms are unable to transform their supply chains into digital models. Thus, this study aims to identify the key drivers of digital SC transformation and provide empirical evidence on the extent to which firms’ knowledge creation capabilities could impact firms’ level of digital supply chain transformation. Based on a knowledge-based view, this study proposes that firms’ knowledge creation capabilities – which consist of the capacity to absorb external knowledge and the intent to learn with partners within the SC – are crucial to the successful knowledge transfer required to digitially transform, particularly under the effects of COVID-19 supply chain disruption risks. Survey data collected from 923 Vietnamese firms participating in cross-border trades were analyzed using partial least squares structural equation modeling (PLS-SEM). This study finds that firms’ absorptive capacity and learning intent are critical drivers of their digital supply chain transformation. Moreover, the high uncertainties in external environments are found to substantially accelerate the digital transformation processes and influence the effectiveness of firms’ knowledge creation capabilities in digital SC transformation. Significantly, firms are more inclined toward external knowledge sources to cope with disruption risks in the supply chain. This study contributes a novel approach to better understanding the role of knowledge creation capabilities in responding to supply chain disruption risks and fills a gap in research on drivers of successful digital SC transformation.

The race Against Time to Save Human Lives During the COVID-19 With Vaccines: Global Evidence.

Voluminous vaccine campaigns have been used globally, since the COVID-19 pandemic has brought devastating mortality and destructively unprecedented consequences to different aspects of economies. This study aimed to identify how the numbers of new deaths and new cases per million changed after half of the population had been vaccinated. This paper used actual pandemic consequence variables (death and infected rates) together with vaccination uptake rates from 127 countries to shed new light on the efficacy of COVID-19 vaccines. The 50% uptake rate was chosen as the threshold to estimate the real benefits of vaccination campaigns for reducing COVID-19 infection and death cases using the difference-in-differences (DiD) imputation estimator. In addition, a number of control variables, such as government interventions and people's mobility patterns during the pandemic, were also included in the study. The number of new deaths per million significantly decreased after half of the population was vaccinated, but the number of new cases did not change significantly. We found that the effects were more pronounced in Europe and North America than in other continents. Our results remain robust after using other proxies and testing the sensitivity of the vaccinated proportion. We show the causal evidence of significantly lower death rates in countries where half of the population is vaccinated globally. This paper expresses the importance of vaccine campaigns in saving human lives during the COVID-19 pandemic, and its results can be used to communicate the benefits of vaccines and to fight vaccine hesitancy.

Financial performances, entrepreneurial factors and coping strategy to survive in the COVID-19 pandemic: case of Vietnam.

Vietnam has been one of a few countries that successfully contained the COVID-19 pandemic. However, aggressive measurements against the pandemic were at the expense of economic activities and companies' financial performances. This cross-sectional study uses a survey of 672 companies in Vietnam and the logistic regression model to explore companies' coping strategy choices based on their degree of financial distress, companies' profiles, entrepreneurial factors, and the interactions between them. The results suggest that companies predominantly selected cost-cutting strategies to deal with the economic shutdown. However, the interactions between financial and entrepreneurial factors could significantly increase the likelihood of selecting growth-focused strategies. Besides, when facing a global pandemic such as COVID-19, managers' perceptions about the spillover effects of global risks were much more impactful than local risks on companies' coping strategy selections. This paper can help to inform managers to better deal with the aftermath of the COVID-19 outbreak.