How do agribusinesses thrive through complexity? The pivotal role of e-commerce capability and business agility

A bibliometric and content analysis of technological advancement applications in agricultural e-commerce

Given the severe difficulties and challenges being faced during the current COVID-19 pandemic, agribusinesses must consider alternative means to market and sell agriproducts using e-commerce and advanced technologies. Agricultural e-commerce that utilizes advanced technologies can promote sustainable economic growth and gender equality and, therefore, helps achieve the Sustainable Development Goals. It also allows farmers access to new markets where they can bypass intermediaries, leading to higher income, less waste, and fresher produce for customers. The usefulness of using agricultural e-commerce depends on the efficiency of addressing the emerging challenges from merging perspectives of agricultural and e-commerce fields. Literature reviews addressed both fields from different perspectives, however, most literature addresses the agriculture and e-commerce fields separately, leading to unclarity in understanding the differences between agriproducts and other products. This study aims to present a comprehensive and robust roadmap of technological advancements and challenges in agricultural e-commerce through a thorough bibliometric and content analysis and provide a conceptual architecture for best practices. The bibliometric and content analysis sheds light on the agricultural e-commerce categories, challenges, and limitations. This study identifies the most influential research and topic trends, determines the topical discipline areas, and provides visions and directions for future research in the field of agricultural e-commerce. It discusses the challenges of agricultural e-commerce and agriproducts and how advanced technologies help solve such challenges. This study summarises the best practice implementation of agricultural e-commerce by providing strong logistics, implementing standardization, including information knowledge of agriproducts, and creating a traceability information system. The result of this paper is presented as a proposed conceptual architecture for agricultural e-commerce that addresses the abovementioned best practice concepts and utilizes the Blockchain and IoT technologies to provide innovative solutions for the agricultural e-commerce stakeholders. Finally, this study provides prospects for future research on advanced technologies in agricultural e-commerce.

The Mediation Effects of Social Media Usage and Sharing Fake News about Companies

Trust in social media information is gaining in importance and relevance for both companies and individuals as nowadays contemporary society is confronted with a wave of fake news about daily life situations, brands, organizations, etc. As it becomes more difficult to accurately assess social media information and to determine its origin or source, as well as to be able to double-check information spread across different Social Networking Sites (SNS), businesses must understand how individuals' perceived control, concentration, and time distortion enhances the social media usage, thus allowing them to correctly assess online information. Therefore, the scope of the paper is to assess, based on a conceptual model, the antecedents of trust in online information about companies by considering users' perceived control, concentration, and time distortion, while browsing social media networks and sharing fake news about companies in SNS. With the help of an online survey, data was collected from social media users, later being analysed with SmartPLS. The findings suggest that social media usage and sharing of fake news mediate the relationship between users' perceived control, concentration, and time distortion (i.e., flow characteristics) and trust in online information about companies.

Can e-commerce platforms build the resilience of brick-and-mortar businesses to the COVID-19 shock? An empirical analysis in the Chinese retail industry

We proposed a research model that examined the differences between the contributions of large, third-party e-commerce platforms and self-operated e-commerce platforms to businesses’ resilience to the COVID-19 shock. The difference-in-differences approach was employed to analyze a substantial sample of Chinese retailers. The study found that (1) under the baseline condition, the large, third-party e-commerce platforms built significant resilience for the brick-and-mortar businesses, (2) resource constraints induced by factor immobility weakened the contribution of large, third-party e-commerce platforms to the businesses’ resilience in regions of severe shock, and (3) the physical retailers’ self-operated EC platforms built resilience in regions of severe shock.

Deconstructing Online Hospitality Review Systems

Online hospitality reviews have an important impact on consumers’ travel and hospitality booking decisions in the Internet age. A well-designed online hospitality review system is crucial to reduce the uncertainty of consumers’ decision making, to grasp the actual needs of consumers, and to improve the quality experience of platforms. In this context, this research conducts an empirical study on the design features of online hospitality review systems based on the Kano model. First, the paper analyzes the design features of online hospitality review systems. Then, the paper proposes an improved method to classify design features on the basis of the Kano questionnaire design and survey data. Finally, the paper quantitatively measures their importance in online hospitality review systems. Results can provide scientific basis for online travel platforms or hospitality operators to optimize the design of online hospitality review systems and to obtain reference value to increase the satisfaction of consumers’ decision making.

Big Data Analytics Capability and Business Alignment for Organizational Agility

This paper investigates the impact of big data analytics capability (BDAC) on organizational agility under the moderating effect of BDAC–business alignment and its impact on performance through organizational agility. Data from a matched-pair survey of business, data technology, and financial executives in 161 organizations were used to examine the proposed research model. This paper used partial least squares–structural equation modeling and hierarchical component analysis to examine the data. The results suggest a positive mediation role of organizational agility in the relationship between big data analytics capability and organizational performance, except that the mediation effect of operational adjustment agility on BDAC and market performance is not statistically significant. This study also finds that alignment between the business strategy and the big data analytics strategy enhances the relationship between BDAC and market responsiveness agility. It proposes a new perspective which is to realize the value of BDAC in enhancing agility and performance.

Sustainable Moviegoer Intention to Attend Cinemas Based on the Theory of Planned Behavior

The present research aims to determine which factors of the theory of planned behavior most influence the intention to watch Mexican movies, and, at the same time, to measure the impact of eWOM and the level of audience involvement in the intention. For this purpose, an online questionnaire was applied through social networks, obtaining a sample of 334 Mexican people over 18 years old. The data were analyzed using a partial least squares structural equation model (PLS-SEM). The results confirmed that the variables that explained the intention to watch Mexican movies were attitude, perceived purchase control, and involvement, with the latter being the attitude variable the one that contributed the most to intention. The present research contributes to the literature on movie consumption in Mexico with an empirical perspective from the marketing field.