Technological developments are increasingly sophisticated, so micro, small and medium enterprises (MSMEs) must maintain their business through digital markets. The main problem faced by MSMEs in Aceh province is the lack of use of social media as a medium for promoting or selling products online. Thus, this study analyzes the MSMEs' product marketing model, determines the factors that influence MSME labor productivity, and determines MSMEs' resilience strategies in entering the digital market. The research location is Aceh Province which consists of 23 districts/cities. The population in this study were all MSME actors in Aceh Province who were spread across districts/cities, using a purposive random sampling technique. The samples in the study were related agencies and MSMEs actors in Aceh Province, which are spread across 13 regencies/cities, namely Banda Aceh, Sabang, Lhokseumawe, Subulussalam, Langsa, Aceh Tamiang, East Aceh, North Aceh, Central Aceh, West Aceh, Aceh Singkil, Aceh Besar and Aceh Jaya. The results of the study show that (1) the marketing model that is used effectively is the marketing mix, namely the marketing mix, (2) the productivity of MSME workers is influenced by the level of education, age, work experience, gender and expertise or skills possessed by the workforce, (3) The MSMEs resilience strategy is dealing with the digital market can be pursued through government policies by providing training or assistance to business actors to increase product innovation and increase promotion or product sales online through various types of social media, such as Instagram, Facebook, WhatsApp, and market places other.

This study aims to explain the role of digital marketing adoption in mediating the effect of the COVID-19 pandemic and the intensity of competition on business performance, which is seen from the perspective of financial performance and non-financial performance. This research was conducted on the culinary sector SMEs in Bali. The size of the sample used is 210 culinary sector SMEs with a purposive sampling approach, namely the culinary sector SMEs that have adopted digital marketing. The analytical tool used is SEM-PLS. The results of the study show that the effect of the COVID-19 pandemic and the intensity of competition has a negative and significant effect on business performance, both financial and non-financial performance. The adoption of digital marketing was unable to mediate the effect of the COVID-19 pandemic and the intensity of competition on financial performance, but the adoption of digital marketing was capable in mediating the effect of the COVID-19 pandemic and the intensity of competition on non-financial performance. Therefore, the adoption of digital marketing needs to be re-optimized to improve business performance, both financial and non-financial performance.

The study explores the impacts of fear emotions on technology adoption by teachers and students during the COVID-19 pandemic. Mobile learning (ML) has been considered an educational, social platform in private and public higher education institutes. Since several fears are connected with COVID-19, this study's key hypotheses are related to how COVID-19 influences Mobile Learning (ML) adoption. Educators, teachers, and students may face some common types of fear in the course of the coronavirus pandemic, such as fear of losing social relationships, fear of educational loss and failure, and fear because of the lockdown of the family in the prevailing circumstances. Different theoretical models, named Expectation-Confirmation Model (ECM) and Technology Acceptance Model (TAM), are combined to develop an integrated model for this study. The proposed model was analyzed with the development of a questionnaire survey. The survey served as a data collection instrument to collect data from students of the University of Sharjah in Sharjah city in the United Arab Emirates (UAE). Three hundred twenty undergraduate students participated in the study. The collected data was evaluated using the partial least squares-structural equation modeling (PLS-SEM). The significant predictors revealed by experimental results included perceived fear, perceived ease of use, expectation confirmation, satisfaction, and perceived usefulness, explaining the intention to use the mobile learning platform. According to our study, teaching and learning can be benefitted to a great extent by the adoption of mobile learning (ML) during this pandemic for educational purposes; however, this process may be negatively affected by the fear of future educational results, fear of losing social relations and fear of stressful family situations. Therefore, appropriate student evaluation may be conducted to overcome the emotional distress caused by the pandemic effectively.

This paper aims to determine factors that affect consumers’ intention to re-purchase by combining consumers’ attitudes and satisfaction in mobile shopping via sharing economy platforms. The research sample consists of 367 valid participants in the metropolitan area of Ho Chi Minh City who experienced buying products from brick and mortar retailers by using crowdshipping service, using PLS-SEM. The results confirm that Personal Innovativeness significantly affected Perceived Ease of Use (PEOU) and trust. Consumers' attitudes toward buying products via crowdshipping services in sharing economy platforms are determined by PEOU and trust, and their satisfaction of an purchasement is impacted by Check out attributes and Delivery attributes, leading to re-purchase an order via this platform. Brick and mortar retailers need to create a corporation with crowdshipping service platforms to increase sales during COVID-19 pandemic. Besides, shipping quality should be ensured to satisfy consumers which leads to long-term usage.

COVID-19 pandemic was one of the most severe sources of disruptions that recently threatened the supply chain networks. As such disruptions are inevitable in today's business world, learning lessons from the COVID-19 pandemic can significantly help supply chains prepare for future disruptions. This study aims to investigate how Australian supply chains were affected during the COVID-19 pandemic and provide some key resilience strategies to face disruptions. These strategies can assist SC managers in protecting their networks from possible disruption in future.