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On 20 March 2020, the four adult convicts of the 2012 Delhi rape case were executed after a long debate regarding the punishment for their crime. The Delhi rape case, unlike others, was also given to the fast track court because of the worldwide outrage India received in its aftermath. Otherwise, most rape survivors rarely speak out and if they do, their lives are often endangered and threatened, depending on the severity of the case itself and the perpetrator's rank in the society. Through the analysis of Aniruddha Roy Chowdhury's, 2016 film Pink, and Ajay Bahl's film Section 375 (2019), this chapter explores the different ways in which mainstream Hindi cinema deals with such questions, especially in its depictions of courts. Both these films foreground India's contemporary cultural systems of fear that silence the rape survivors. They also imply that in the court cases, unless the specific court case faces intense global publicity, as was the case of the Delhi gang rape, rape survivors will never want to speak out. Moreover, the rape survivors will also hesitate to file a First Information Report (FIR) – a document that records crimes by the police against their perpetrators – limiting any possibility for justice for them. The laws surrounding rape cases are obscure and complex and finding justice for a rape victim (unless it is on a global level) is not an easy venture in India. At the time of the #metoo movement, the rape laws in India are not designed in such a way to arguably encourage victim-survivors to speak up. Instead, if rape survivors do decide to confront their perpetrators, they not only face ostracisation from society but also the danger of losing loved ones and endanger their lives as well.

This paper aims to review two micro-trends influencing the landscape of adventure tourism activities in Nepal. In spite of being a popular adventure tourism destination for more than half a century, the offer of adventure tourism activities in Nepal remained limited until recently.

This study underpinned by interpretive epistemology used netnographic methods of data collection. As such, 15 stakeholderss’ interviews were conducted, and 25 grey literature sources were collected.

The findings suggest that a bottom-up approach to the development of emerging adventure sports and the upsurge of domestic adventure tourism are the micro-trends influencing the adventure tourism landscape in Nepal. This paper discusses skiing and mountain biking as emerging land-based adventure activities. One distinguishing feature is that those initiatives are driven by locals passionate about this sport. Furthermore, skiing and mountain biking are promoted for both international and domestic tourists. Overall, the findings highlight the growth of the domestic adventure tourism market in Nepal.

This study recommends shifting attention from focussing merely on international visitors and to establish domestic adventure tourism market. For practitioners, including tourism agencies and wider industry stakeholders, it might be important to explore the demand in adventure tourism and create products for domestic adventure tourism.

Creating and expanding adventure tourism activities for locals would not only provide economic benefit but also contribute to well-being and recreation opportunities for Nepali.

To date, research on adventure tourism activities in Nepal other than mountaineering remains scant. This paper contributes towards understanding the micro-trends influencing the landscape of adventure tourism activities in Nepal and for the first time, explores the trends of Nepal’s domestic adventure tourism market.

Knowledge sharing has entered the stage of knowledge payment with the typical models of paid Q&A, live session, paid subscription, course column and community service. Numerous knowledge suppliers have begun to pour into the knowledge payment market, and users' willingness to pay for premium content has increased. However, the academic research on knowledge payment has just begun.

In this paper, the authors searched several bibliographic databases using keywords such as “knowledge payment”, “paid Q&A”, “pay for answer”, “social Q&A”, “paywall” and “online health consultation” and selected papers from aspects of research scenes, research topics, etc. Finally, a total of 116 articles were identified for combing studies.

This study found that in the early research, scholars paid attention to the definition of knowledge payment concept and the discrimination of typical models. With the continuous enrichment of research literature, the research direction has gradually been refined into three main branches from the perspective of research objects, i.e. knowledge provider, knowledge demander and knowledge payment platform.

This paper focuses on discussing and sorting out the key research issues from these three research genres. Finally, the authors found out conflicting and contradictory research results and research gaps in the existing research and then put forward the urgent research topics.

This study aims to review the prepositioning of relief items literature through a decision-making lens to explore the decisions involved, the factors guiding them and the influence of model design on these decisions. Despite their potential to inform decision-making, quantitative prepositioning models remain underutilised in practice. Understanding the foundational principles that shape model design and their connections to decision-making is crucial for effectively developing and implementing more practical models.

A systematic literature review was conducted, and 97 relevant papers were analysed bibliographically and thematically. The thematic analysis is guided by the value-focused thinking approach, which provides a structured understanding of the decision-making process by focusing on the decision makers’ values.

This study identifies key prepositioning decisions related to facilities, inventory and distribution. It highlights efficiency, effectiveness and equity as the main values guiding prepositioning decisions and examines the mutual influence of model design and decisions. Moreover, a decision-making framework for prepositioning problems has been developed, outlining key steps and relevant decisions.

This research provides novel insights into how the decision-making process regarding prepositioning is reflected in quantitative models. It helps researchers choose model designs that better align with decision makers’ priorities and requirements, increasing the models’ practicality. Additionally, it helps decision makers comprehend quantitative models and the reasons behind their mathematical complexities, ultimately improving the effectiveness of decision-making for prepositioning.

This study demonstrates how artificial intelligence (AI) shapes the strategic planning process in volatile, uncertain, complex and ambiguous (VUCA) business environments. Having adopted various domains of the Cynefin framework, the research explores AI's transformative potential and provide insights regarding how organisations can harness AI-driven solutions for strategic planning.

This conceptual paper theorises the role of AI in strategic planning process in a VUCA world by integrating extant knowledge across multiple literature streams. The “model paper” approach was adopted to provide a theoretical framework predicting relationships among considered concepts.

The paper highlights potential application of the Cynefin framework to manage complexities in strategic decision-making process, the transformative impact of AI at different stages of strategic planning, the required strategic planning characteristics within VUCA to be supported by AI and the attendant challenges posed by AI integration in the uncertain business landscape.

This study pioneers a theoretical exploration of AI's role in strategic planning within the VUCA business landscape, guided by the Cynefin framework. Thus, it enriches scholarly discourse and expands knowledge frontiers.

In this study, the authors examine artificial knowledge as a fundamental stream of knowledge management for sustainable and resilient business models in supply chain management (SCM). The study aims to provide a comprehensive overview of artificial knowledge and digitalization as key enablers of the improvement of SCM accountability and sustainable performance towards the UN 2030 Agenda.

Using the SCOPUS database and Google Scholar, the authors analyzed 135 English-language publications from 1990 to 2022 to chart the pattern of knowledge production and dissemination in the literature. The data were collected, reviewed and peer-reviewed before conducting bibliometric analysis and a systematic literature review to support future research agenda.

The results highlight that artificial knowledge and digitalization are linked to the UN 2030 Agenda. The analysis further identifies the main issues in achieving sustainable and resilient SCM business models. Based on the results, the authors develop a conceptual framework for artificial knowledge and digitalization in SCM to increase accountability and sustainable performance, especially in times of sudden crises when business resilience is imperative.

The study results add to the extant literature by examining artificial knowledge and digitalization from the resilience theory perspective. The authors suggest that different strategic perspectives significantly promote resilience for SCM digitization and sustainable development. Notably, fostering diverse peer exchange relationships can help stimulate peer knowledge and act as a palliative mechanism that builds digital knowledge to strengthen and drive future possibilities.

This research offers valuable guidance to supply chain practitioners, managers and policymakers in re-thinking, re-formulating and re-shaping organizational processes to meet the UN 2030 Agenda, mainly by introducing artificial knowledge in digital transformation training and education programs. In doing so, firms should focus not simply on digital transformation but also on cultural transformation to enhance SCM accountability and sustainable performance in resilient business models.

This study is, to the authors' best knowledge, among the first to conceptualize artificial knowledge and digitalization issues in SCM. It further integrates resilience theory with institutional theory, legitimacy theory and stakeholder theory as the theoretical foundations of artificial knowledge in SCM, based on firms' responsibility to fulfill the sustainable development goals under the UN's 2030 Agenda.