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Supply chains need to be made viable in this volatile and competitive market, which could be possible through digitalization. This study is an attempt to explore the role of Industry 4.0, smart supply chain, supply chain agility and supply chain resilience on sustainable business performance from the lens of natural resource-based view.

The study tests the proposed model using a covariance-based structural equation modelling and further investigates the ranking of each construct using the artificial neural networks approach in AMOS and SPSS respectively. A total of 234 respondents selected using purposive sampling aided in capturing the industry practices across supply chains in the UK. The full collinearity test was carried out to study the common method bias and the content validity was carried out using the item content validity index and scale content validity index. The convergent and discriminant validity of the constructs and mediation study was carried out in SPSS and AMOS V.23.

The results are overtly inferring the significant impact of Industry 4.0 practices on creating smart and ultimately sustainable supply chains. A partial relationship is established between Industry 4.0 and supply chain agility through a smart supply chain. This work empirically reinstates the combined significance of green practices, Industry 4.0, smart supply chain, supply chain agility and supply chain resilience on sustainable business value. The study also uses the ANN approach to determine the relative importance of each significant variable found in SEM analysis. ANN determines the ranking among the significant variables, i.e. supply chain resilience > green practices > Industry 4.0> smart supply chain > supply chain agility presented in descending order.

This study is a novel attempt to establish the role of digitalization in SCs for attaining sustainable business value, providing empirical support to the mediating role of supply chain agility, supply chain resilience and smart supply chain and manifests a significant integrated framework. This work reinforces the integrated model that combines all the constructs dealt with in silos so far in prior literature.

The purpose of this study was to understand how social media marketing activities (SMMA) influence consumers’ perceived value of online-to-offline food ordering experiences, subsequently affecting satisfaction and intentions to visit physical establishments.

Data from 845 participants was collected using a purposive sampling technique. Covariance-based structural equation modeling was then applied to assess the conceptual model and its hypotheses.

Analysis of the structural equation modeling showed support for all hypotheses. SMMA exhibited positive effects on trust, hedonic value and utilitarian value, while these in turn positively influenced the use of online-to-offline food delivery services (O2O-FDS). In addition, results indicated a positive effect of O2O-FDS use on omni-channel restaurant satisfaction which then led to increased intentions to dine in at physical restaurants.

Results suggest that engaging SMMA and O2O-FDS builds trust and encourages in-person visits.

Results from this study build upon the literature by shedding new light on the links between the effects of SMMA, trust, perceived value and consumers’ intentions to visit physical restaurants after using the O2O-FDS. In addition, consumers’ perceived trust, as well as hedonic and utilitarian values, mediate the effect of SMMA on O2O-FDS.

With the use of a curriculum framework, consumer educators can “work to improve their students' emotional states and examine critically their self-beliefs.” Active learning research has focused on attitudinal reactions rather than cognitive outcomes. It can be processed and implemented for real, dynamic and vibrant learning whereas passive learning is used to acquire ideas and information that is available for recall. This study aims to assess the impact of active and passive learning tools on Environmentally sustainable consumption behaviour [ESCB]. This study will help to grasp the authorities' focus on recommending the types of active and passive learning for the institutions for enhancing Environmentally sustainable consumption behaviour [ESCB] among children.

The data analysis for this study was conducted using Analysis of Variance (ANOVA), a statistical method commonly used to compare the means of multiple groups to determine if there are significant differences among them. The study followed an experimental design, specifically a pre-test–post-test control group design, which is ideal for assessing the impact of an intervention. The study involved a total of 641 school children as participants. These children were distributed across three grade levels: Third Class, Fourth Class and Fifth Class.

It was found that active learning forms were effective and statistically significant for impacting ESCB as compared to control group results. It was also found that passive learning forms were an effective but statistically non-significant method for impacting ESCB among primary school children.

Based on the findings, the study concluded that while active learning styles have a greater impact on ESCB than passive learning styles, it is still necessary to determine which active or passive learning styles are most effective in influencing ESCB.

This study will assist educators in understanding the kinds of Active and Passive learning environments that can be used to encourage children's environmentally friendly consumption practices.

This paper is entirely novel and has been composed by the author