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To evaluate some of the current discussion about the possible impacts of the COVID-19 pandemic on wildlife tourism destinations. There could be either positive and/or negative impacts and this viewpoint provides some reflection on what the future might hold for some if not many wildlife tourism destinations when the global tourism industry resumes.

A combination of tourism and environmental impact research studies and online resources are used to demonstrate the wildlife tourism-conservation nexus and provide a commentary regarding the impact of COVID-19 on the wildlife tourism system.

This paper provides a context and viewpoint on the possible implications of post COVID-19 reflection for wildlife tourism operations in the future.

This viewpoint paper captures only a snapshot of rapidly emerging online perspectives but at the same time draws together relevant research that emphasises the importance of wildlife tourism.

This paper enables an appreciation of the implications of not reflecting on the way that tourism and the environment are currently/recently managed and funded. One possibility is that we could arrive at a different baseline that reflects degraded wildlife tourism conditions. If, in a post COVID-19 world, a new awareness of the vulnerability of species and the tourism upon which it is dependent arises, this could open the door for improved tourism management and conservation of species that are of high tourism value.

This paper offers a synthesis of views that fosters understanding of the possibility of damage to wildlife tourism resources due to the social and economic impacts of COVID-19 on the global nature-based tourism sector.

The viewpoint proffered in this paper provides scope for a rapid evaluation of the current status of wildlife tourism, its vulnerability and the need to reflect on the industry in a post COVID-19 world.

Academics and practitioners have long acknowledged the potential of multiagent systems (MAS) to automate and autonomize decision-making in logistics and supply chain networks. Despite the manifold promises of MAS, industry adoption is lagging behind, and the exact benefits of these systems remain unclear. This study aims to fill this knowledge gap by analyzing 11 specific MAS use cases, highlighting their benefits, clarifying how they can help enhance logistics network resilience and identifying existing barriers.

A three-stage Delphi study was conducted with 18 industry experts. In the first round, these experts identified 11 use cases of MAS and their potential benefits, as well as any barriers that could hinder their adoption. In the second round, they assessed the identified use cases with regard to their potential to enhance logistics network resilience and improve organizational productivity. Furthermore, they estimated the complexity of MAS implementation. In the third round, the experts reassessed their evaluations in light of the evaluations of the other study participants.

This study proposes 11 specific MAS use cases and illustrates their potential for increasing logistics network resilience and enhancing organizational performance due to autonomous decision-making in informational processes. Furthermore, this study discusses important barriers for MAS, such as lack of standardization, insufficient technological maturity, soaring costs, complex change management and a lack of existing use cases. From a theoretical perspective, it is shown how MAS can contribute to resilience research in supply chain management.

The identification and assessment of diverse MAS use cases informs managers about the potential of this technology and the barriers that need to be overcome.

This study fills a gap in the literature by providing a thorough and up-to-date assessment of the potential of MAS for logistics and supply chain management. To the best of the authors’ knowledge, this is the first study to investigate the relevance of MAS for logistics network resilience using the Delphi method.

To further develop research methodologies for multi-species ethnographic fieldwork, based on researcher's experiences with multi-species fieldwork in private wildlife conservancies in South Africa and inspired by San tracking techniques.

Reflections on methodological lessons learnt during multi-species ethnographic fieldwork in South Africa. The approach is rather “Maanenesque” in telling various types of tales of the field. These tales also implicitly show how all-encompassing ethnographic fieldwork and its accompanying reflexivity are; there is never time for leisure in ethnographic fieldwork.

That developing fieldwork methodologies in multi-species ethnographic research confronts researchers with the explicit need for and training in multi-sensory methods and interpretations, inspired by “the art of tracking” of the San.

Comes up with a concrete suggestion for a sequence of research methods for multi-species ethnography based on the trials and tribulations of a multi-species ethnographer's experiences in South Africa and inspired by San tracking techniques.

The purpose of this study is to systematically review available state-of-the-art literature on comparative studies on Quick Commerce (Q-commerce) and E-commerce and their greenhouse gas (GHG) emissions.

The literature survey methodology is based on the funneling approach of Kitchenham (2004), where results are obtained according to inclusion and exclusion criteria. The literature review methodology used for this study covers the period from 2016 to 2022. The areas considered for the survey are operations, logistics and supply chain network design for the distribution of goods in e-business. After deciding on the criteria, a total of 140 articles were extracted from 9 journal articles that study e-commerce and environmental emissions.

The result of this study reveals that GHG emissions from both modes of shopping depend on various parameters such as speed of delivery, last-mile depot locations, logistics and vehicle efficiency, customers’ order patterns and average basket size. Furthermore, the findings also highlight the difference between Q-commerce and E-commerce supply chain networks.

This study only accounts for GHG emissions from logistics activities, but there are other sources of GHG emissions in the overall supply chain that are not taken into consideration. Supply chain/business analysts in Q-commerce companies might refer the findings from this study to measure GHG emissions from their operations.

This is the first study in the Q-commerce field that uses a structured approach to find relevant literature from the years 2016 to 2022 and focuses on GHG emission measurement.

Objectively evaluating the fairness of the algorithm, exploring in specific scenarios combined with scenario characteristics and constructing the algorithm fairness evaluation index system in specific scenarios.

This paper selects marketing scenarios, and in accordance with the idea of “theory construction-scene feature extraction-enterprise practice,” summarizes the definition and standard of fairness, combs the application link process of marketing algorithms and establishes the fairness evaluation index system of marketing equity allocation algorithms. Taking simulated marketing data as an example, the fairness performance of marketing algorithms in some feature areas is measured, and the effectiveness of the evaluation system proposed in this paper is verified.

The study reached the following conclusions: (1) Different fairness evaluation criteria have different emphases, and may produce different results. Therefore, different fairness definitions and standards should be selected in different fields according to the characteristics of the scene. (2) The fairness of the marketing equity distribution algorithm can be measured from three aspects: marketing coverage, marketing intensity and marketing frequency. Specifically, for the fairness of coverage, two standards of equal opportunity and different misjudgment rates are selected, and the standard of group fairness is selected for intensity and frequency. (3) For different characteristic fields, different degrees of fairness restrictions should be imposed, and the interpretation of their calculation results and the means of subsequent intervention should also be different according to the marketing objectives and industry characteristics.

First of all, the fairness sensitivity of different feature fields is different, but this paper does not classify the importance of feature fields. In the future, we can build a classification table of sensitive attributes according to the importance of sensitive attributes to give different evaluation and protection priorities. Second, in this paper, only one set of marketing data simulation data is selected to measure the overall algorithm fairness, after which multiple sets of marketing campaigns can be measured and compared to reflect the long-term performance of marketing algorithm fairness. Third, this paper does not continue to explore interventions and measures to improve algorithmic fairness. Different feature fields should be subject to different degrees of fairness constraints, and therefore their subsequent interventions should be different, which needs to be continued to be explored in future research.

This paper combines the specific features of marketing scenarios and selects appropriate fairness evaluation criteria to build an index system for fairness evaluation of marketing algorithms, which provides a reference for assessing and managing the fairness of marketing algorithms.

Algorithm governance and algorithmic fairness are very important issues in the era of artificial intelligence, and the construction of the algorithmic fairness evaluation index system in marketing scenarios in this paper lays a safe foundation for the application of AI algorithms and technologies in marketing scenarios, provides tools and means of algorithm governance and empowers the promotion of safe, efficient and orderly development of algorithms.

In this paper, firstly, the standards of fairness are comprehensively sorted out, and the difference between different standards and evaluation focuses is clarified, and secondly, focusing on the marketing scenario, combined with its characteristics, key fairness evaluation links are put forward, and different standards are innovatively selected to evaluate the fairness in the process of applying marketing algorithms and to build the corresponding index system, which forms the systematic fairness evaluation tool of marketing algorithms.

This chapter examines how established media – that is, print, TV and radio sources which pre-existed the popularisation of social media – use social media to disseminate content. Specifically it examines the manner in which three UK media sources – BBC News, The Guardian and the Daily Mail – used Twitter during the 2014–2015 Ebola crisis. It asks five key questions concerning: the balance between factual reporting and opinion or comment; the degree to which it shifted attention to specific events within the context of the outbreak; whether the dialogical potential of social media was exploited; the degree to which social media acted as a signpost to more detailed information elsewhere, or existed as independent content; and the degree of media reflexivity. It concludes that established media used this new technology within their existing paradigms for reporting rather than exploiting some of its more innovative characteristics.

When discussing the term “technology-facilitated violence” (TFV) it is often asked: “Is it actually violence?” While international human rights standards, such as the United Nations' Convention on the Elimination of All Forms of Discrimination against Women (United Nations General Assembly, 1979), have long recognized emotional and psychological abuse as forms of violence, including many forms of technology-facilitated abuse (United Nations, 2018), law makers and the general public continue to grapple with the question of whether certain harmful technology-facilitated behaviors are actually forms of violence. This chapter explores this question in two parts. First, it reviews three theoretical concepts of violence and examines how these concepts apply to technology-facilitated behaviors. In doing so, this chapter aims to demonstrate how some harmful technology-facilitated behaviors fit under the greater conceptual umbrella of violence. Second, it examines two recent cases, one from the British Columbia Court of Appeal (BCCA) in Canada and a Romanian case from the European Court of Human Rights (ECtHR), that received attention for their legal determinations on whether to define harmful technology-facilitated behaviors as forms of violence or not. This chapter concludes with observations on why we should conceptualize certain technology-facilitated behaviors as forms of violence.

This paper aims to explore the potential explanatory mechanisms linking leader–member exchange (LMX) and a perceived supportive environment for corporate entrepreneurship. Specifically, this paper develops and tests a hypothesized moderated mediation model of the relationship between LMX and a perceived supportive environment for corporate entrepreneurship through psychological empowerment as conditional upon the level of control orientation.

Data were collected from a sample of 682 full-time working adults in the USA and were examined in a moderated mediation model in PROCESS.

The findings suggest that higher LMX augments perceptions of a supportive environment for corporate entrepreneurship with a mediating role for psychological empowerment and a moderating role for control orientation on that conditional relationship.

This research suggests that high quality LMX relationships may enrich the human capital of firms, helping them to innovate and outperform competitors in the context of modern competitive dynamics. The study findings are limited by several factors including a cross-sectional design and a student-recruited sampling approach.

The study offers unique contributions to the leadership and entrepreneurship literature by being among the first to empirically investigate the relationship between LMX and a perceived supportive environment for corporate entrepreneurship as mediated by psychological empowerment and moderated by control orientation, yielding important insights regarding effective leadership practices for facilitating innovative behaviors and corporate entrepreneurship.

In light of the new way of interpreting work spearheaded by Generation Z, the objectives of this study are to investigate (1) whether young entrepreneurs identify their start-ups with “zebras” – that is, as a concrete response to the evanescence and fantasy of “unicorns” based on the simultaneous pursuit of profit and social value, mutualism and resilience – and (2) whether they adopt a “teal” organizational configuration – that is, one characterized by evolutionary purpose, self-management and wholeness.

Through a qualitative approach with 41 interviews, this study focuses on start-uppers and companies that are particularly innovative and promising in the Italian context, as selected by Forbes magazine in its ranking of the brightest entrepreneurs, leaders and stars under 30.

The results suggest that young entrepreneurs recognize the importance of the common themes of the zebra movement and therefore identify their startups with zebras. More specifically, Generation Z entrepreneurs: (1) pursue a dual (economic and social) purpose, (2) are mutualistic and (3) build their organizations with resilience and capital efficiency. In addition, the interviews show that the organizational approach taken follows the paradigm of teal organizations, particularly in terms of evolutionary purpose, distributed leadership and decision-making power, and employee wholeness and empowerment.

This is the first study to analyze the evolutionary trends of animal entrepreneurial “species” led by Generation Z entrepreneurs and organized on the basis of the teal paradigm.