ABSTRACT
Purpose - In the most recent years, social, innovative, economic and political changes in the European context have characterized consumers' behaviours. The paper aims to understand if the use of electronic commerce differs in a situation characterized by uncertainty. Design/methodology/approach - An innovative approach to categorising online consumer behaviour considers the self-determination theory and basic psychological needs in an uncertain scenario. The research is based on a quantitative analysis obtained by clustering algorithms on a sample of 1,000 digital users in European countries. A structured questionnaire was administered online and distributed through the leading online social platforms and direct mailing. Findings - The results show online activities during changes in consumer behaviour patterns and retailers' strategies. This research will allow online retail managers and practitioners to obtain important information to help them define appropriate customer-oriented strategic actions to enhance value in the electronic context for both customers and firms. Originality/value - The innovation of this research approaches the categorization of online consumer behaviour by exploiting the self-determination theory in an uncertain scenario. Precisely, the novelty of this research is to highlight three detailed categories of electronic commerce consumers, namely, unwilling, halfback and digital, to collect, store and disseminate information about these categories of Online Consumers Behaviours.
ABSTRACT
The circular economy (CE) has emerged as a paradigm to protect the environment and the well-being of future generations. In parallel, Blockchain technology (BC) has emerged as a critical enabler for accelerating the transition toward a CE. In order to understand and summarize prior research on the role of BC in the CE, we conducted a systematic literature review (SLR) of 70 seminal articles published before July 2022. Six main themes emerged: a) CE approaches and practices, b) BC and the integration of the Internet of Things (IoT), c) sustainable supply chain management, d) BC and the CE in the COVID-19 era, e) sector-specific BC applications, and f) barriers to BC adoption in the CE. Furthermore, we develop a comprehensive framework that integrates stakeholders, strategies and practices, industrial sectors and a BC-enabled CE. © 2022 The Author(s)
ABSTRACT
PurposeThe study aims to identify the extent to which industry 4.0 (IR4.0) adoption impacts the sustainable manufacturing (SM) performance of the manufacturing industry, focusing on the comparative analysis between developed and developing economies amid coronavirus disease 2019 (COVID-19) pandemic.Design/methodology/approachThe study proposes a conceptual model formed on seminal theories and literature using the cross-sectional design. For data collection, a purposive sampling method is used where 154 Malaysian (developing) and Australian (developed) manufacturing firms' data were collected. Partial least square-based structural equation modeling is employed to test the hypothesis and proposed research model.FindingsThis study finds that adoption of IR4.0 technologies does not directly influence the sustainability performance of the manufacturing industry, but rather the trajectories of SM (efficiency, flexibility, automation and big data and granularity) fully mediate the relationship between IR4.0 adoption and sustainability manufacturing performance. The comparative analysis between Australia and Malaysia shows no significant difference in the relationships or the framework;hence, the differences between developed and developing countries are not significant in this mechanism.Originality/valueThe study contributes to the insights of the managers regarding COVID-19 and the implementation of IR4.0 in the SM domain. The policymakers would further get better insights since the study pays attention to sustainable development goal, industry, innovation, infrastructure and responsible production.