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This study aims to asses students’ sustainability consciousness (SC) in relation to their perceived teaching styles in seven public sector institutions in Pakistan.

A survey technique was used to collect data from respondents. Grasha’s (1996) Teaching Styles Inventory and Gericke et al.’s (2019) Sustainability Consciousness Questionnaire were used to collect data pertinent to teachers’ teaching styles and students’ SC, respectively. This study’s population was 1,986 students studying in seven educational institutions. A sample of 993 students was selected for the study. Out of the 993 questionnaires distributed, only 753 respondents returned the questionnaire completely filled, resulting in a response rate of 75.83%. Descriptive statistics and structural equation modeling (SEM) were used to analyze the data.

The results show that students’ mean scores on environmental and social dimensions were higher compared with the economic dimension. Similarly, students’ scores were relatively higher on the knowledge and attitude dimension while lower on the behavior dimension. Moreover, the expert and formal authority teaching styles were the most prevalent teaching styles. Furthermore, SEM results show that various teaching styles affected students’ knowledge and attitude; however, only the delegator teaching style affects all three dimensions of SC.

This research has implications for educational institutions and policymakers to ensure dedicated efforts to promote and integrate education for sustainable development into the educational system and achieve sustainability goals by 2030.

The study findings will help future teachers to effectively integrate sustainability education into their classrooms.

This research expands the discussion on the effectiveness of various teaching styles on SC in teacher education programs.

The purpose of the article is to contribute to the body of research on digital transformation among members of the supply chain operating in an emerging economy. This paper researches the digital transformation trends happening across Vietnamese supply chains, by investigating the current adoption rates, predicted impact levels and financial investments being made in key Industry 4.0 technologies.

By using a semi-structured online survey, the experiences of 281 supply chain professionals in Vietnam were captured. Subsequently, statistical techniques examining variances in means, regression analysis and Monte Carlo simulation were applied.

The findings of this study offer a comprehensive understanding of Industry 4.0 technology in Vietnam, highlighting the prevalent technologies being prioritized. Big data analytics and the Internet of things are expected to have the most substantial impact on businesses over the next 5–10 years and have received the most financial investment. Conversely, Blockchain is perceived as having less potential for future investment. The study further identifies several technological synergies, such as combining advanced robotics, artificial intelligence and the Internet of things to build effective and flexible factories, that can lead to more comprehensive solutions. It also extends diffusion of innovation theory, encompassing investment and impact considerations.

This study offers valuable insights into the impact and financial investment in Industry 4.0 technologies by Vietnamese supply chain firms. It provides a theoretical contribution via an extension of the diffusion of innovation theory and contributes toward a better understanding of the current Industry 4.0 landscape in developing economies. The findings have significant implications for future managerial decision-making, on the impact, viability and resourcing needs when undertaking digital transformation.