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Couriers are in an unequal relationship with on-demand logistic platforms with regards to order assignment and delivery-related information acquisition, which leads to high courier turnover rates. Based on social cognitive theory and justice theory, this research investigates the impact of order assignment and delivery-related information disclosure strategy on couriers' perceived justice and continuous participation intention and presents managerial suggestions to on-demand logistic platforms to lower the courier turnover rate.

Taking Chinese couriers as experimental subjects, this study conducts experiments by constructing an order receiving scene of order assignment strategy (performance-priority vs distance-priority) and delivery-related information disclosure strategy (detailed-information vs brief-information) and analyzes the results of 452 valid respondents.

The results indicate that the interaction between order assignment and delivery-related information disclosure strategy in on-demand logistics significantly affects couriers’ continuous participation intention, specifically under performance-priority order assignment and detailed-information (vs brief-information) disclosure strategy. Informational justice and distribution justice play mediating roles, and work experience and proactive personality moderate the relationship interactions.

The research helps us to understand the order-receiving justice demand and delivery-related information demand of couriers in on-demand logistics platforms and sheds light on cutting down turnover rates through different strategies designs and justice environment construction.

This research integrates social cognitive theory into on-demand logistics and combines with justice theory to fill platform strategies, couriers’ justice perception and characteristics, as well as behavior into “triadic reciprocal causation.” Meanwhile, it investigates different impacts and interactive relationships of order assignment and delivery-related information disclosure strategy, expands strategies from the impact of operational efficiency to the impact of couriers’ participation and extends the literature of justice perception and individual characteristics in on-demand logistics.

The purpose of this paper is to rank the users’ attitude on major components of mobile cloud computing (MCC) security and investigate the degree of impact of these components on MCC security as a whole.

Hypotheses were evolved and tested by data collected through an online survey-questionnaire. The survey was administered to 363 users from Chinese organizations. Statistical analysis was carried out and structural equation model was built to validate the interactions.

The eight components of MCC security in the order of importance are as follows: mobile device related, user identity related, deployment model related, application-level security issues, data related, virtualization related, network related and service delivery related. The empirical analysis validates that these security issues are having significant impact on perceived security of MCC.

Constant vigilance on these eight issues and improving the level of user awareness on these issues enhance the overall security.

These issues can be used for designing and developing secured MCC system.

While several previous research has studied various security factors in the MCC security domain, a consolidated understanding on the different components of MCC security is missing. This empirical research has identified and ranked the major components of MCC security. The degree of impact of each of these components on overall MCC security is identified. This provides a different perspective for managing MCC security by explaining what components are most important.

This paper investigates the impact of sustainability information disclosure on consumers' choice of order-to-delivery lead-time in relation to consumers' sustainability concern.

Based on two choice experiments with participants from the Netherlands (n = 348) and the United Kingdom (n = 1,387), the impact of sustainability information disclosure was examined in connection with consumers' concerns for environmental and social sustainability. Information on environmental impact (carbon emission) and social impact (warehouse workers and drivers' well-being) was considered and compared.

Disclosing sustainability impact information significantly increased consumers' preference and choice for longer delivery times, with equivalent effects for environmental and social impact information. Consumers' relevant (environmental or social) sustainability concern as personality traits enhanced effects on preferences, as did priming of environmental concern.

Future research may consider differences between product categories or e-commerce companies' reputation in sustainability activities.

The findings provide opportunities for online retailers to influence consumer choice of delivery time, especially through disclosing environmental and/or social sustainability information.

This study fills a gap in the literature on sustainability information disclosure to actively steer consumer choice of delivery time, particularly regarding the effect of social sustainability impact information in comparison to its environmental counterpart.

With increasing pressure from the government and private sectors to be more environmentally and socially responsible, sustainable supplier selection has gained enormous currency in recent times. Particularly, in the case of the construction industry, owing to a large amount of industrial wastage generated and extreme workplace conditions, it is even more important to devise strategies to mitigate the harmful consequences. The most crucial step in this regard is the selection of sustainable suppliers that acquire a pivotal position in the supply chain ecosystem. This study aims to identify indicators for three criteria such as economic, environmental and social, and prioritize them according to their level of significance for sustainable supplier selection in the Indian construction industry.

In this study, the best-worst method (BWM) is presented for sustainable supplier selection in Indian construction organizations. Total of 27 indicators was identified for the three criteria of the triple bottom line (TBL) approach namely economic, environmental and social. Using BWM, the most important criterion was found and subsequently, all the indicators under each criterion were ranked in order of importance.

The analysis revealed that the environmental criterion was the most important criteria in the sustainable supplier selection followed by the economic criteria. The indicators that were the most influential in the effective selection process were “Usage of recyclable raw materials for production”, “Adoption of clean and green technologies”, “Waste management” and “Periodical environmental audits” under the environmental criteria; “Efficiency”, “Cost” and “Flexibility and Scalability” from the economic criteria; and “Safety programs” and “Information disclosure” in the social criteria.

The study provides a reference framework for the selection of sustainable suppliers in construction organizations. The findings can also be used for the assessment of suppliers' performance in the supply chains.

The novelty of this work lies in its attempt to model the performance of suppliers in the Indian construction supply chains.

This paper aims to consider a number of key laws and regulations that have implications for information management and internal control systems.

The paper is a discussion of the key laws and regulations. It also considers a number of frameworks that may be useful for assessing compliance with applicable laws and regulations.

Organizations worldwide are impacted by an increasing number of laws and regulations. Many of them have important implications for information management and internal control systems even though they may lack explicit references to information management. This is because information technology (IT) has become pervasive in modern organizations, and it is self evident that awareness of applicable laws and regulations, along with their potential impacts on information management systems, is critical for compliance.

The paper shows how the increasing number of laws and regulations impact on the information management functions of organizations in a variety of ways.

Preface The functions of business divide into several areas and the general focus of this book is on one of the most important although least understood of these—DISTRIBUTION. The particular focus is on reviewing current practice in distribution costing and on attempting to push the frontiers back a little by suggesting some new approaches to overcome previously defined shortcomings.

The purpose of this study is to present a large-scale real-world comparative study using pre-COVID lockdown data versus post-COVID lockdown data on predicting shipment times of therapeutic supplies in e-pharmacy supply chains and show that our proposed methodology is robust to lockdown effects.

The researchers used organic data of over 5.9 million records of therapeutic shipments, with 2.87 million records collected pre-COVID lockdown and 3.03 million records collected post-COVID lockdown. The researchers built various Machine Learning (ML) classifier models on the two datasets, namely, Random Forest (RF), Extra Trees (XRT), Decision Tree (DT), Multi-Layer Perceptron (MLP), XGBoost (XGB), CatBoost (CB), Linear Stochastic Gradient Descent (SGD) and the Linear Naïve Bayes (NB). Then, the researchers stacked these base models and built meta models on top of them. Further, the researchers performed a detailed comparison of the performances of ML models on pre-COVID lockdown and post-COVID lockdown datasets.

The proposed approach attains performance of 93.5% on real-world post-COVID lockdown data and 91.35% on real-world pre-COVID lockdown data. In contrast, the turn-around times (TAT) provided by therapeutic supply logistics providers are 62.91% accurate compared to reality in post-COVID lockdown times and 73.68% accurate compared to reality pre-COVID lockdown times. Hence, it is clear that while the TAT provided by logistics providers has deteriorated in the post-pandemic business climate, the proposed method is robust to handle pandemic lockdown effects on e-pharmacy supply chains.

The implication of the study provides a novel ML-based framework for predicting the shipment times of therapeutics, diagnostics and vaccines, and it is robust to COVID-19 lockdown effects.

E-pharmacy companies can readily adopt the proposed approach to enhance their supply chain management (SCM) capabilities and build resilience during COVID lockdown times.

The present study is one of the first to perform a large-scale real-world comparative analysis on predicting therapeutic supply shipment times in the e-pharmacy supply chain with novel ML ensemble stacking, obtaining robust results in these COVID lockdown times.

The purpose of the study was to determine the major criteria for a credible integrated development planning (IDP) process in Mbombela municipality, Mpumalanga Province, South Africa.

The study utilizes a combination of sequential exploratory and explanatory mixed methods. About 120 key informants participated in the structured questionnaire, and a further seven interviews were conducted as elite interviews. Four multistakeholder workshop sessions with up to sixty-six participants each were conducted.

To strengthen the integrated planning in local government, the study recommended “stakeholder participation and ownership,” “leadership and accountability,” “impact and outcome-based focus,” “a compact value chain” and “monitoring and evaluation.”

The IDP process is a tactical planning gadget designed to achieve transformation and introduce new systems of governance. IDPs currently tend to lack standard criteria to measure their performance in promoting public leadership and responding to community needs, which is a major challenge in many municipalities across South Africa. Since its introduction in 2000 to fast-track service delivery, concerns have been raised about why there are still constant protests alleged to be caused by poor service delivery.

This mixed-method study aims to contribute to the scholarly debate by outlining an individual-level theoretical framework for public value creation and evaluation that builds upon a social exchange perspective. It provides insights into the normative frames of primary stakeholders in the Dutch care at home sector, that is professionals, managers, clients and informal care providers.

A mixed-method design comprising a customized survey among 349 stakeholders, preceded by 31 in-depth interviews was used.

This empirical work shows differences and similarities in the stakeholders' normative frames revealed via three dimensions of expectations regarding the process of care delivery: personal contact, impact of rules and procedures and communication.

These differences in interpretation have implications for the measurement and evaluation of public value creation.

By statistically and methodologically exploring the different expectations' scales that are developed, we intend to work toward a measure for public value creation, which can be used in future empirical work.