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Vehicle allocation problems (VAPs), which are frequently confronted in many transportation activities, primarily including but not limited to full truckload freight transportation operations, induce a significant economic impact. Despite the increasing academic attention to the field, literature still fails to match the needs of and opportunities in the growing industrial practices. In particular, the literature can grow upon the ideas on sustainability, Industry 4.0 and collaboration, which shape future practices not only in logistics but also in many other industries. This review has the potential to enhance and accelerate the development of relevant literature that matches the challenges confronted in industrial problems. Furthermore, this review can help to explore the existing methods, algorithms and techniques employed to address this problem, reveal directions and generate inspiration for potential improvements.

This study provides a literature review on VAPs, focusing on quantitative models that incorporate any of the following emerging logistics trends: sustainability, Industry 4.0 and logistics collaboration.

In the literature, sustainability interactions have been limited to environmental externalities (mostly reducing operational-level emissions) and economic considerations; however, emissions generated throughout the supply chain, other environmental externalities such as waste and product deterioration, or the level of stakeholder engagement, etc., are to be monitored in order to achieve overall climate-neutral services to the society. Moreover, even though there are many types of collaboration (such as co-opetition and vertical collaboration) and Industry 4.0 opportunities (such as sharing information and comanaging distribution operations) that could improve vehicle allocation operations, these topics have not yet received sufficient attention from researchers.

The scientific contribution of this study is twofold: (1) This study analyses decision models of each reviewed article in terms of decision variable, constraint and assumption sets, objectives, modeling and solving approaches, the contribution of the article and the way that any of sustainability, Industry 4.0 and collaboration aspects are incorporated into the model. (2) The authors provide a discussion on the gaps in the related literature, particularly focusing on practical opportunities and serving climate-neutrality targets, carried out under four main streams: logistics collaboration possibilities, supply chain risks, smart solutions and various other potential practices. As a result, the review provides several gaps in the literature and/or potential research ideas that can improve the literature and may provide positive industrial impacts, particularly on how logistics collaboration may be further engaged, which supply chain risks are to be incorporated into decision models, and how smart solutions can be employed to cope with uncertainty and improve the effectiveness and efficiency of operations.

This study aims to address the inherent uncertainties within closed-loop supply chain (CLSC) networks through the application of a multi-objective approach, specifically focusing on the optimization of integrated production and transportation processes. The primary purpose is to enhance decision-making in supply chain management by formulating a robust multi-objective model.

In dealing with uncertainty, this study uses Pythagorean fuzzy numbers (PFNs) to effectively represent and quantify uncertainties associated with various parameters within the CLSC network. The proposed model is solved using Pythagorean hesitant fuzzy programming, presenting a comprehensive and innovative methodology designed explicitly for handling uncertainties inherent in CLSC contexts.

The research findings highlight the effectiveness and reliability of the proposed framework for addressing uncertainties within CLSC networks. Through a comparative analysis with other established approaches, the model demonstrates its robustness, showcasing its potential to make informed and resilient decisions in supply chain management.

This study successfully addressed uncertainty in CLSC networks, providing logistics managers with a robust decision-making framework. Emphasizing the importance of PFNs and Pythagorean hesitant fuzzy programming, the research offered practical insights for optimizing transportation routes and resource allocation. Future research could explore dynamic factors in CLSCs, integrate real-time data and leverage emerging technologies for more agile and sustainable supply chain management.

This research contributes significantly to the field by introducing a novel and comprehensive methodology for managing uncertainty in CLSC networks. The adoption of PFNs and Pythagorean hesitant fuzzy programming offers an original and valuable approach to addressing uncertainties, providing practitioners and decision-makers with insights to make informed and resilient decisions in supply chain management.

Purpose: Leaders must come up with new ideas and motivate their people to welcome new beginnings if they are to adapt to the changing demands of the business. Organisations face challenges in navigating the vast array of possibilities and choices in the volatility, uncertainty, complexity, and ambiguity (VUCA) world. This chapter explores various leadership styles, highlighting leadership initiatives in the context of (VUCA) during the COVID-19 pandemic.

Methodology: Secondary sources were used to collect information and data, including published articles, journals, newspapers, reports, books, and websites. The logical progression was used to comprehend the idea of VUCA leadership and strategies.

Findings of the Study: The VUCA accurately depicted the global landscape after COVID-19. It offered a valuable framework for examining strategy and leadership in a swiftly evolving world. To portray the dynamic characteristics of the corporate environment and to lead, many businesses use VUCA. Furthermore, this study highlights the VUCA leadership essential skills needed for effectively navigating VUCA circumstances.

Practical Implications: This study focuses on VUCA leadership practices and strategies in the workplace. The chapter outlines six key competencies: setting goals, being prepared, putting the customer’s needs first, flexibility and adaptation, decision-making, and collaboration and teamwork. These skills are essential for corporations to endure and thrive in VUCA circumstances. Corporate leaders are encouraged to integrate these skills into their repertoire, equipping themselves to confront challenges in a volatile environment.

This paper aims to focus on a medical goods distribution problem and pharmacological waste collection by plug-in hybrid vehicles with some real-world restrictions. In this research, considering alternative energy sources and simultaneous pickup and delivery led to a decrease in greenhouse gas emissions and distribution costs, respectively.

Here, this problem has been modeled as mixed-integer linear programming with the traveling and energy consumption costs objective function. The GAMS was used for model-solving in small-size instances. Because the problem in this research is an NP-hard problem and solving real-size problems in a reasonable time is impossible, in this study, the artificial bee colony algorithm is used.

Then, the algorithm results are compared with a simulated annealing algorithm that recently was proposed in the literature. Finally, the results obtained from the exact solution and metaheuristic algorithms are compared, analyzed and reported. The results showed that the artificial bee colony algorithm has a good performance.

In this paper, medical goods distribution with pharmacological waste collection is studied. The paper was focused on plug-in hybrid vehicles with simultaneous pickup and delivery. The problem was modeled with environmental criteria. The traveling and energy consumption costs are considered as an objective function.

Prior institutional duality research asserts that ceremonial implementation of organisational practice protects multinational corporations’ subsidiaries. However, the temporal dynamics of the safeguarding function has been under researched. Public sector organisations have also been ignored. This research aims to explore how the safeguarding function is created, maintained and disrupted using the overseas offices (OOs) of a bilateral development agency (BDA) as a case.

A multi-case study, underpinned by neo-institutionalism, was conducted. Data obtained from in-depth remote interviews with 39 informants from the BDA OOs were analysed using the “asking small and large questions” technique, four analytical techniques, cross-case synthesis and theoretical propositions.

A three-phase process was identified. The first phase is the appearance of discrepancies due to institutional duality. The second is the emergence of ceremonial implementation as a solution. In the third phase, “the creation, maintenance and disruption of a safeguarding function” begins. When ceremonial implementation successfully protects the OOs, the safeguarding function is created. The OOs are likely to repeat ceremonial implementation, thus sustaining the function. Meanwhile, when conditions such as management staff change, ceremonial implementation may not take place, and the safeguarding function disappears.

The BDA OOs may not face strong host country regulative pressures because they are donors to aid-recipient countries. Hence, the findings may not directly apply to other public sector organisations.

Development cooperation practitioners should understand that ceremonial implementation is not exclusively harmful.

To the best of the author’s knowledge, this is the first institutional duality research that explores the temporal dynamics of safeguarding functions targeting public sector organisations.

This paper aims to explore how the three components of intellectual capital (IC) (human, structural and relational) are related to corporate innovation and how effective knowledge management can improve business performance, innovation and environmental compliance. Additionally, the study investigates the influence of environmental compliance on overall business performance.

The organizational resource-based view was used to develop a theoretical model and accompanying hypotheses. A survey design approach was used to collect data and evaluate the model. The predicted relationships were tested by structural equation modeling using data acquired from members of management teams in the Vietnamese manufacturing sector.

The three components of IC have significant positive effects on business performance. In addition, corporate innovation, knowledge management success (KMS) and environmental compliance all significantly increase business performance. Moreover, KMS indirectly enhances business performance through innovation and environmental compliance.

This study provides useful insights into knowledge management, innovation and environmental compliance for administrators, practitioners and scholars. The results support practical advice for how firms can integrate KMS strategies into their operations, improve environmental compliance and increase business success.

The links between IC, knowledge management, innovation and environmental compliance are of ongoing interest to organizational scholars. However, empirical research on the relationships of these factors with business performance has been limited. This study investigates these links and offers factual evidence for them.

This study aims to examine the level of intention to pursue formal nursing leadership roles among millennial nurses and to identify the different factors that may play a role in their intentions to pursue such roles.

This study used a multi-center, cross-sectional research design. Registered nurses born between 1980 and 2000 (n = 1,377) who worked in 23 acute care hospitals in Oman were included in this study. Data were analyzed using descriptive statistics and multiple linear regression. Data were collected between July 2019 and January 2020.

Nearly 70% of millennial nurses researched their intention for career advancement to assume nursing leadership responsibility. Factors associated with nurses’ intention to pursue formal nursing leadership roles were the type of nursing degree held (having a bachelor of science in nursing degree), type of hospital facility affiliation (teaching hospital), previous leadership experience, structural empowerment (access to support, opportunity and resources), work satisfaction and job burnout.

Millennial nurses, who represent the largest segment of the nursing workforce, have begun assuming nursing management and leadership roles; however, little is known about the factors affecting their intentions to pursue these roles. The findings of this study revealed different factors (both modifiable and nonmodifiable) influencing millennial nurses’ intentions to pursue formal leadership roles.

This study aims to analyse the structure of the Indian vaccine supply chain (SC) during the Covid-19 crisis and explore the underlying challenges at each stage in the network. It also brings out the difference in performance of various constituent states.

This study relied on both primary and secondary data for the analyses. For the primary data, the study gathered experts’ opinions to validate the authors’ inferences. For the secondary data, it relies on government data provided in websites.

Based on the quartile analysis and cluster analysis of the secondary data, the authors find that the constituent states responded differently during the first and second waves. This was due to the differences in SC characteristics attributed to varied demographics and administrative efficiency.

This paper’s analyses is primarily limited to secondary information and inferences are based on them. The study has important implications for implementing the large-scale vaccination drives by government and constituent states for better coordination and last-mile delivery.

The contribution is unique in studying the performance of constituent states using statistical techniques, with secondary data from authentic sources. It is also unique in combining this observation with validation from experts.

This study investigates the influence of organizational social capital (OSC) on the social and economic performance of social enterprises (SEs) in Greece and the mediating role of social entrepreneurship orientation (SEO) in these relationships.

A theoretical framework was developed integrating resource-based theory, OSC theory and behavioral entrepreneurship theory. The data were collected from 345 Greek SEs and structural equation modeling (SEM) with bootstrap analysis was employed to estimate path coefficients.

This study shows that OSC positively impacts SEs’ social and economic performance, while SEO mediates only the relationship between OSC and SEs’ social performance. This research offers insights for scholars, practitioners and policymakers in social entrepreneurship by highlighting the significance of OSC and SEO.

This study contributes to the literature on SEs by integrating resource-based theory, OSC theory and behavioral entrepreneurship theory, presenting a novel comprehensive theoretical framework for understanding SEs’ performances. Additionally, the study advances the understanding of SEO as a mediator in the relationship between OSC and SEs’ social and economic performance. The unique focus on the Greek context provides a valuable setting for examining the relationships among OSC, SEO and SEs’ performances.

Previous research has mainly focused on the outcomes of empowering leadership, and empirical evidence on how to encourage leaders to display empowering behaviors has been overlooked, particularly from an interpersonal perspective.

Based on the integrative model of organizational trust, we investigate the relationship between employees' taking charge behaviors and empowering leadership considering the mediating role of leader trust in employees and the moderating role of risk propensity.

The results indicate that taking charge is positively associated with leader trust in employees, which influences the development of empowering leadership. Additionally, leaders' risk propensity moderates these relationships, that is, a higher level of risk propensity can enhance the promoting effect of leader trust on empowering behaviors.

This study explores the antecedents and mechanisms influencing empowering leadership and proposes the moderating effect of risk propensity. The findings not only clarify how and why employees' taking charge behaviors can stimulate empowering leadership but also offer a more comprehensive understanding of the antecedents of empowering leadership.