Purpose Blockchain technology has fascinated researchers and industry professionals. Since its birth, the attention for blockchain has been exponentially increasing, however, most of the industries are still skeptical in adoption for value creation. The purpose of this study is to analyze the actual level of implementation and diffusion of blockchain technology within the logistics and transportation industry by comparing and using the collective intelligence of academic literature and industry practices of implementation of blockchain in this domain. Design/methodology/approach This study uses the methodology of systematic literature review along with inductive reasoning. The systematic literature review of academic and industry frontiers together has brought a bigger and real picture into consideration. Findings The results highlight that, within the transportation sector, currently there is a very low diffusion of blockchain, although applications show immense promises for the future. The various application where blockchain technology can make a significant impact are also identified. Research limitations/implications Due to the early stage of experimentation with blockchain technology, high-quality data which is relevant to the optimized usage of this technology in the logistics and transportation industry is not available. Practical implications The study will help the practitioners in identifying additional avenues in which they could implement blockchain for the effectiveness, efficiency and growth of the logistics and transportation industry. Originality/value The analysis of mixed sources of information for undertaking systematic literature review by assessing academic and trade publications is a novelty of this study.

Suppliers and sellers play a crucial role in the ecommerce ecosystem. Sellers and ecommerce firms use social media to increase user engagement, visibility, and sales. Seller ratings are as important as the product ratings on ecommerce platforms to drive buying decisions. Based on sellers' actions on social media, this study examines seller turnover and disengagement on e-commerce platforms. The study has been supported by the justice theory. Seller reviews and ratings from e-commerce platforms and conversations from social media platforms have been gathered. Using natural language processing, machine learning, partial least squares (PLS) path analysis, and statistical inferences, objectives of the study are met. The study offers recommendations for both practitioners and researchers. The sellers must focus more on interaction and communication than marketing. Through a longitudinal analysis, the study also establishes that ecommerce organizations can use seller social media performance as a predictor of future seller churn and disengagement so they can take the necessary remedial action.

Many organizations utilize information and communication technologies (ICTs) to maximize the efficiency and effectiveness of their employees in order to achieve best possible resource utilization. With many salient positive outcomes and benefits for organizations, the use of ICTs also imposes a risk of increased stress for employees, referred to as ‘technostress’. This study tests a model to identify the relationship between technostress and employee attrition in information technology (IT) companies in India during a pandemic which in turn escalated dependencies on ICTs, creating stress among employees. Multiple constructs have been utilized using the ‘person-environment fit’ model for this study. Primary data collection with stratified sampling was administered on a multinational IT firm. Statistical tests were performed and inferential model was developed. The findings support the model, providing insights into the role, significance, and ranking of six constructs in employee attrition. The outcome clearly suggests the presence of technostress due to ICTs and its effects on employee attrition during a pandemic.