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The purpose of this paper is to propose and validate a theoretical model to investigate the relationship between self-organisation, information integration, adaptability and supply chain agility in humanitarian organisations.

A theoretical model was developed from extant studies and assessed through a structured questionnaire survey of 86 humanitarian organisations operating in South Sudan. The data were analysed using partial least square structural equation modelling.

The study found that self-organisation has a discernible positive influence on supply chain agility not only directly but also indirectly through adaptability. Further, information integration does not significantly influence supply chain agility directly but is fully mediated by adaptability. Together, the antecedent variables account for 53.9% variance in supply chain agility.

This study contributes to providing an empirical understanding of a humanitarian supply chain as a complex adaptive system and hence the need to incorporate self-organising and adaptive dimensions in supply chain management practice. Furthermore, it confirms the centrality of the complex adaptive system feature of adaptability when building supply chain agility through self-organisation and information integration.

The findings provide a firm ground for managerial decisions on investment in self-organisation and information integration dimensions so as to enhance adaptability and improve supply chain agility in humanitarian organisations.

This study is distinctive in the sense that it uses the complex adaptive system variables to empirically validate the relationships between self-organisation, information integration, adaptability and supply chain agility in humanitarian organisations in the world’s youngest developing economy with a long history of conflict and humanitarian intervention. The mediating influence of adaptability examined in this study is also novel.

International investment law governs matters related to transnational investments. The extensive reach of transnational corporations (TNCs) has granted them substantial economic, political and social influence, often intertwining them with public interest issues and implications in human rights violations. This paper aims to explore the profound influence exerted by TNCs in today’s globalized world and its implications for human rights and social responsibility within the framework of international investment law. Particularly, it acknowledges the vulnerability of economically weak South Asian states and cites past instances such as the Bhopal gas tragedy in India and the Rana Plaza disaster in Bangladesh as egregious violations of human rights. Focusing on South Asian bilateral investment treaties (BITs), this paper aims to examine the scope of investors’ social accountability.

This research engages with doctrinal and analytical methods in traversing through primary and secondary sources. It would parse the arbitral tribunals’ jurisprudence for their discussion on the inclusion of social accountability obligations within international investment agreements (IIAs). Further, it engages in a quantitative analysis related to the nature of the social accountability-related obligation of the corporation within South Asian BITs.

The findings reveal a glaring absence of the law on investors’ social accountability and the need for enhanced regulatory mechanisms to address the escalating influence of TNCs on human and social rights. The absence of a robust legal framework, coupled with the asymmetric nature of international investment law, granting investors greater rights and leverage compared to states, exacerbates this challenge. The phenomenon of “regulatory chill” inhibits states from effectively enforcing regulatory measures aimed at protecting human rights and the environment. Furthermore, the broad interpretation of clauses such as “fair and equitable treatment” by investment tribunals often undermines states’ ability to implement measures in the public interest. While international organizations such as the UNCTAD and the UNCITRAL Working Group III are actively discussing reforms to IIAs, the existing guidelines addressing investors’ social accountability are woefully lacking in the content as well as the method of their integration with international human rights law. The findings underscore the imperative for South Asian nations, the subject of this research’s empirical analysis, to adopt a comprehensive approach involving both domestic law reforms to promote corporate social accountability and active pursuit of negotiations for the inclusion of binding social obligations for investors within IIAs.

This research, drawing upon international law developments, offers suggestions for incorporation of social accountability provisions via relevant domestic law reform. The research could be viewed as a prelude for mapping the legal developments in the area of investors’ social accountability within investment agreements, as well as investment contracts, drawing guidance from international law instruments.

To the best of the authors’ knowledge, no other study analysed the scope of investors’ social accountability in South Asian BITs.

Product returns are a major challenge for e-businesses as they involve huge logistical and operational costs. Therefore, it becomes crucial to predict returns in advance. This study aims to evaluate different genres of classifiers for product return chance prediction, and further optimizes the best performing model.

An e-commerce data set having categorical type attributes has been used for this study. Feature selection based on chi-square provides a selective features-set which is used as inputs for model building. Predictive models are attempted using individual classifiers, ensemble models and deep neural networks. For performance evaluation, 75:25 train/test split and 10-fold cross-validation strategies are used. To improve the predictability of the best performing classifier, hyperparameter tuning is performed using different optimization methods such as, random search, grid search, Bayesian approach and evolutionary models (genetic algorithm, differential evolution and particle swarm optimization).

A comparison of F1-scores revealed that the Bayesian approach outperformed all other optimization approaches in terms of accuracy. The predictability of the Bayesian-optimized model is further compared with that of other classifiers using experimental analysis. The Bayesian-optimized XGBoost model possessed superior performance, with accuracies of 77.80% and 70.35% for holdout and 10-fold cross-validation methods, respectively.

Given the anonymized data, the effects of individual attributes on outcomes could not be investigated in detail. The Bayesian-optimized predictive model may be used in decision support systems, enabling real-time prediction of returns and the implementation of preventive measures.

There are very few reported studies on predicting the chance of order return in e-businesses. To the best of the authors’ knowledge, this study is the first to compare different optimization methods and classifiers, demonstrating the superiority of the Bayesian-optimized XGBoost classification model for returns prediction.

Start-ups require a competitive advantage to integrate sustainable practices and develop organizational capabilities to thrive in dynamic business environments. However, implementation of these practices presents several ethical challenges. This study aims to quantify the influence of organizational capabilities (information technology capabilities and organizational virtues) on start-ups' competitive advantage and readiness to implement environmental, social and governance practices.

This study employed a survey design, and data were collected from 320 start-up founders and/or managers in India. The data were analyzed using Smart PLS 4.0.

The findings suggest that organizational capabilities, including information technology capabilities and organizational virtues, play an important role in enhancing start-ups' competitive advantage and readiness to implement sustainable practices. Dynamic capability mediates these relationships, while entrepreneurial orientation moderates the relationship between organizational virtues and dynamic capability.

This study has significant implications for organizations implementing sustainable business practices through the development and nurturance of organizational virtues and information technology capabilities. The study is also useful for leaders, managers and entrepreneurs in training and development, managing tradeoffs and maintaining important organizational capabilities to establish a balance between people’s concerns, the environment and profits.

Few studies have examined the role of organizational capabilities, sustainable business practices and competitive advantage in the context of start-ups. This study contributes to the literature on sustainable entrepreneurship and organizational capabilities.

This paper aims to explore how lean manufacturing practices (LMPs) predict sustainable performance (SP) in the context of manufacturing small and medium-sized enterprises (SMEs) in less developed countries, like Yemen. In particular, it investigates the mediating effect of corporate social responsibility (CSR) under different levels of competitive intensity (CI).

Hierarchical regression analysis was used to analyze data gathered from a survey of 259 Yemeni manufacturing SMEs.

The findings confirm that LMPs affect CSR, which in turn affects SP. This study also confirms that LMPs have a positive indirect effect on SP through CSR, which diminished in the presence of CI.

This study provides useful insights for policymakers and firms’ managers, who are anticipated to show a higher commitment to CSR in their firms when adopting LMPs to enhance their firms’ SP, especially under a low level of CI.

This paper contributes to expanding knowledge on the effect of LMPs on SP through CSR constrained by the level of CI.

Online food shopping has emerged as a fast-growing market. However, the retail online food supply chain (ROFSC) is attracting increasing attention due to its social, environmental and financial impacts. This study aims to empirically evaluate food waste prevention and mitigation (FWPM) strategies in a real-world case study within the UK ROFSC.

Advanced methodologies are required to explore and address FWPM problems across ROFSC. Surveys and interviews were conducted with practitioners. Hard and soft data were collected from the case online retailer. Experts from an FWPM non-profit organization checked and validated the data collected.

Results revealed that inter/cross-organization integrated collaboration and visibility in the ROFSC influence FWPM. Findings established that consumers are the main source of food waste, followed by suppliers and online retailers, with 18, 11 and 1%, respectively. Worryingly, only 1% of respondents expressed that there is a strong commitment to a zero-waste strategy, emphasizing the necessity for more effective waste reduction initiatives and awareness.

The research outcome calls for further efforts by policymakers and practitioners to guide consumers toward efficient food waste management practices.

The study extends previous literature by proposing a holistic framework for reducing food waste from suppliers and consumers. The study captured interesting insights on food waste, including measuring, reasoning and destinations of online food waste.