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This study aims to analyze the policies and strategies used by governmental organizations to address the impacts of climate change in informal neighborhoods, kampungs, such as Bukit Duri and Melayu in Jakarta, Indonesia, focusing on canal and river flooding mitigation and infrastructure development. The research examines the displacement of residents due to the demolition of informal settlements along riverbanks, the role of different governmental organizations and the implications of these policies on affected communities.

This study uses the theoretical framework of environmental injustice to evaluate the strategies used by the Indonesian Government to address climate change adaptation in Jakarta, with a specific focus on the problem of flooding and its impact on displacement. By analyzing the history and outcomes of flood mitigation policies, this paper assesses the government’s strategies related to infrastructure, evacuation and socialization. In doing so, the study examines the social impact of these policies on affected communities. Furthermore, social listening and media analysis of Twitter data and various news outlets are conducted to gain insights into the living conditions and experiences of displaced residents in two public housing projects.

The study revealed the challenges faced by the government in implementing policies for climate change adaptation and flood mitigation in Jakarta, including a lack of community engagement with residents of the Kampungs in the decision-making process for relocation. Despite government efforts and providing low-cost apartments (rusuwana), the analysis sheds light on the various forms of injustice that result from the government’s approach to climate change adaptation in Jakarta.

This study examines social justice issues in Jakarta’s informal neighborhoods and explores locally driven efforts vs government-mandated policies for managing natural hazards and adapting to climate change.

This study investigates and explores sustainable fashion based on social attitudes toward culture and sustainable fashion effects in sub-Saharan Africa (SSA), based on environmental knowledge and consumer satisfaction initiatives. It explicates sustainable fashion on the sustainable development agenda in addressing the gap of cultural value, environmental knowledge and sustainable fashion in SSA.

Using a quantitative approach, the study employed a web-based online cross-sectional survey to extract tangible information from 620 participants from SSA. The study integrated theory of planned behaviors (TPB) model and hypotheses. A structural equation model (SEM) was used to test all proposed hypotheses.

The results show that low environmental knowledge, influenced by geographical and cultural differences, affected fashion value, as which is predictively significant for sustainable fashion. However, attitude and cultural value results found statistical significance for consumer satisfaction in sustainable fashion. Furthermore, mediation was attained between consumer behavioral and environmental knowledge of sustainable fashion. The study recommends government policies on educational awareness and textile regulations for environmental garbage disposal possible harmful effects of climate change and finally, designing innovative initiatives for environmentally friendly fashion.

This study examines the environmental and social attitudes as well as behavioral effects, of an ecosystem that would most likely have a short life period, eliminate disposal dumps and foster an environmental control policy. Consequently, the study’s conceptual model and extended TPB contribute to how sustainable fashion supports environmental knowledge, consumer attitudes and cultural behaviors in fashion among Sub-Saharan Africans.

It's no longer a secret that a hassle-free life and better human development index are only possible in smart cities with appropriate and efficient deployment of artificial intelligence (AI)-based technologies where the best results of data analysis are being used. Technology is becoming more productive using circular economy while employing all the dimensions of AI where integration of results is being incorporated as an outcome of data analysis received from different segments i.e., Traffic Management, Public Safety, and Movement, Security and surveillance, Waste Management Systems, or the Energy Management, etc. This chapter specifically talks about areas where AI is facing challenges in the implementation and administration of smart cities while covering the intrinsic challenges faced in specialized domains such as Public Sanitation, Virtual Parking Management, Traffic Congestion, Security Surveillance, and many more discussed as case study relating to the functioning of the circular economy. In the last, we have summarized the impact of AI on the CE and its future scope where AI can play a better role in increased productivity, increased efficiency, robust safety and finally economic benefit for long-term stable economic stability, development and inclusive growth.

This chapter explores the role of artificial intelligence (AI), particularly its subfield of machine learning (ML) methods, as a core technology of the fintech revolution in the financial services industry. It simplifies some of the complex concepts related to AI by introducing the main ML paradigms and related techno-methodic aspects. This chapter uses real-world examples to illustrate how next-generation AI powered by ML is transforming the financial services industry. Next, in illustrating the risks associated with AI adoption, this chapter discusses the need for regulation to address the essential facets of AI governance, including transparency, accountability, ethics, and responsible use. Lastly, it looks at emerging regulatory approaches across leading global jurisdictions. The primary goal is to give readers an initial understanding of AI's profound impact on the financial sector.

Only a small number of studies have analysed the sustainability of the socio-cultural impacts of volunteer tourism (VT). Existing research tends to focus on volunteers, the host communities and organisations, while the interconnectedness between theories (of capitals) and concepts (i.e. empowerment and sustainability) have received minimal attention. Sustainability is considered both an effect of empowerment and a means for achieving it. Drawing on the perspectives and theoretical concepts related to multiple forms of capital, this paper aims to take an interpretive stance to examine socio-cultural impacts.

This research draws on 37 semi-structured interviews conducted with stakeholders on the perceived socio-cultural impacts of VT on two farm communities in Vietnam. A qualitative thematic coding analysis was used to identify themes that explain the perceptions of the stakeholders within the host communities.

The findings of this study were divided into the nine themes of educational effects, job opportunities, cultural exchanges, relationships, health, awareness of environmental conservation, physical changes, promoting local products and tourism and community resource development. The research provides additional insights into the interconnectedness between different types of capital, empowerment and sustainability of socio-cultural impacts.

VT organisations should provide more opportunities for local residents to become involved in decision-making regarding volunteer activities and to share their voices and concerns about how the VT programmes are set up. The government could provide support services or training and skills to locals after the volunteers leave, which would be significant in developing and maintaining the sustainability of impacts on host communities.

This research creates a model for connecting capital to sustainability and empowerment to study the socio-cultural impacts of VT.

只有少数研究分析了志愿旅游（VT）社会文化影响的可持续性。现有的研究往往集中在志工、所在社区和组织上, 而理论（资本）和概念（即赋权、永续性）之间的相互联系很少受到关注。永续发展既被认为是赋权的效益, 也是实现赋权的一种手段。研究借鉴与多种资本形式相关的观点和理论概念, 并采取说明式立场来检视社会文化影响。

本研究借鉴了与利害关系人进行的 37份半结构化访谈, 了解 VT 对越南两个农场社区的社会文化影响。使用定性主题编码分析来确定能够解释主办社区内利害关系人看法的主题.

结果分为教育效果、就业机会、文化交流、人际关系、健康、环境保护意识、身体变化、推广当地产品和旅游业以及社区资源开发九个主题。该研究为不同类型的资本、赋权和社会文化影响的可持续性之间的相互联系提供了更多见解。

旅游志工组织应为当地居民提供更多机会参与志工活动的决策, 并分享他们对VT计画如何设立的意见与担忧。政府可以在志工离开后向当地人提供支持服务或培训和技能, 这对于发展和维持对东道社区影响的可持续性具有重要意义。

这项研究创建了一个将首都与永续发展和赋权联系起来的模型, 以研究 VT 的社会文化影响。

Sólo un pequeño número de estudios han analizado la sostenibilidad de los impactos socioculturales del turismo de voluntariado (VT). Las investigaciones existentes tienden a centrarse en los voluntarios, las comunidades de acogida y las organizaciones, mientras que la interconexión entre las teorías (de los capitales) y los conceptos (es decir, empoderamiento, sostenibilidad) han recibido una atención mínima. La sostenibilidad se considera tanto un efecto del empoderamiento como un medio para lograrlo. Basándose en las perspectivas y conceptos teóricos relacionados con múltiples formas de capital, la investigación adopta una postura interpretativa para examinar los impactos socioculturales.

Esta investigación se basa en 37 entrevistas semiestructuradas realizadas con partes interesadas sobre los impactos socioculturales percibidos de VT en dos comunidades agrícolas en Vietnam. Se utilizó un análisis de codificación temática cualitativa para identificar temas que explican las percepciones de las partes interesadas dentro de las comunidades anfitrionas.

Los hallazgos de este estudio se dividieron en nueve temas de efectos educativos, oportunidades laborales, intercambios culturales, relaciones, salud, conciencia de la conservación ambiental, cambios físicos, promoción de productos locales y turismo, y desarrollo de recursos comunitarios. La investigación proporciona información adicional sobre la interconexión entre diferentes tipos de capital, el empoderamiento y la sostenibilidad de los impactos socioculturales.

Las organizaciones de turismo de voluntariado deberían brindar más oportunidades para que los residentes locales se involucren en la toma de decisiones relativas a las actividades de voluntariado y compartan sus voces e inquietudes sobre cómo se establecen los programas de VT. El gobierno podría brindar servicios de apoyo o capacitación y habilidades a los locales después de que los voluntarios se vayan, lo que sería importante para desarrollar y mantener la sostenibilidad de los impactos en las comunidades anfitrionas.

Esta investigación crea un modelo para conectar las capitales con la sostenibilidad y el empoderamiento con el fin de estudiar los impactos socioculturales de VT.

The purpose of this study is to provide an overview of artificial intelligence (AI) in the talent management sphere. The study seeks to contribute to the body of knowledge with respect to human resource management and AI by conducting a literature review on the integration of AI in talent management, synthesising existing approaches and frameworks, as well as emphasising potential benefits.

The study adopts desk research, computational literature review (CLR) and uses topic modelling [with bidirectional encoder representations from transformers (BERTopic)] to throw light on the diffusion of AI in talent management.

The study’s main finding is that the area of AI in talent management is on the verge of gradual development and is in tandem with the growth of AI. We deduced that there is a link between talent management practices (planning, recruitment, compensation and rewards, performance management, employee empowerment, employee engagement and organisational culture) and AI. Though there are some known fears with regards to using the innovation, the benefits outweigh the demerits.

The current study has some limitations. The scope and size of the sample are the primary limitations of this study. No form of qualitative analytics was used in this study; as a result, the information obtained was limited. The study provides a snapshot of AI in talent management and contributes to the lack of literature in the joint fields. Also, the study provides practitioners and experts an overview of where to target investments and resources if need be.

The originality of this study comes from the combination of CLR methods and the use topic modelling with BERTopic which has not been used by previous reviews. In addition, the salient machine learning algorithms are identified in the study, which other studies have not identified.

This paper aims to inform noncataloguers about the current and historical significance of both machine readable cataloguing (MARC) records and traditional cataloguing as well as introduce them to current struggles to modernize.

The approach of this column is to break-down what may appear to be a crisis in the modernization of library cataloguing and metadata by placing the issues in their historical context and considering existing technologies in a user-friendly manner.

MARC-based cataloguing is well-established, robust and widely used in many library applications. It is not easily replaced and attempts to do so have had very slow progress. Although change is expected in the future, it may lay with solutions based on Artificial Intelligence (AI) technologies.

Although there are many papers discussing the merits of traditional cataloguing and the need for new methods and standards, few are written from a nontechnical point of view and for noncataloguers or those not working in systems departments. This column's intended audience is all library workers with an emphasis on those who are not familiar with MARC.

This study aims to determine the effects of lodging infrastructure development (LID) on Cordillera Administrative Region’s (CAR) environmental quality and natural resource management and its implication to globally responsible leadership. Specifically, this study sought to determine the contribution of LID to environmental deterioration and natural resource degradation in the CAR. As a result, a mathematical model is developed, which supports sustainability practices to maintain the environmental quality and natural resource management in CAR, Philippines.

This study used a descriptive research design using a mixed-methods approach. Self-structured interview and survey were used to gather the data. The population of this study involved three groups. There were 6.28% (34) experts in the field for the qualitative data, 70.24% (380) respondents for the quantitative data and 23.47% (127) from the lodging establishments. 120 respondents from the Department of Tourism – CAR (DOT-CAR) accredited hotels. Nonparametric and nonlinear regression analysis was used to process the data.

The effects of LID on the environmental quality and natural resource management in CAR as measured through carbon emission from liquefied petroleum gas (LPG), electricity and water consumption in the occupied guest rooms revealed a direct correlation between the LID. Findings conclude that the increase in tourist arrival is a trigger factor in the increase in LID in the CAR. The increase in LID implies a rise in carbon emission in the lodging infrastructure. Any increase in tourist arrivals increases lodging room occupancy; the increased lodging room occupancy contributes to carbon emissions. Thus, tourism trends contribute to the deterioration of the environmental quality and degradation of the natural resources in the CAR. A log-log model shows the percentage change in the average growth of tourist arrival and the percentage increase in carbon emissions. Establishments should observe standard room capacity to maintain the carbon emission of occupied lodging rooms at a minimum. Responsible leadership is a factor in the implementation of policy on standard room capacity.

The result of the study has some implications for the lodging businesses, the local government unit (LGU), the Department of Tourism (DOT) and the Department of Environment and Natural Resources (DENR) in the CAR. The study highlights the contribution of the lodging establishments to CO₂ emission, which can degrade the quality of the environment, and the implication of responsible leadership in managing natural resources in the CAR. The direct inverse relationship between energy use and CO₂ emission in hotels indicates that increased energy consumption leads to environmental degradation (Ahmad et al., 2018). Therefore, responsible leadership among policymakers in the lodging and government sectors – LGU, DOT and DENR – should abound in the CAR. Benchmarking on the model embarked from this study can help in designing and/or enhancing the policy on room capacity standardization, considering the total area with its maximum capacity to keep the carbon emission at a lower rate. Furthermore, as a responsible leader in the community, one should create programs that regulate the number of tourists visiting the place to decrease the number of overnight stays. Besides, having the political will to implement reduced room occupancy throughout the lodging establishments in CAR can help reduce the carbon emissions from the lodging businesses. After all, one of the aims of the International Environment Protection Organization is to reduce CO₂ emissions in the tourism industry. Hence, responsible leadership in environmental quality preservation and sustainable natural resource management must help prevent and avoid greenhouse gas (GHG) emissions.

Most studies about carbon emission in the environment tackle about carbon dioxide emitted by transportation and factories. This study adds to the insights on the existing information about the carbon emission in the environment from the lodging establishments through the use of LPG, electricity and water consumption in the occupied guest rooms. The findings of the study open an avenue for globally responsible leadership in sustaining environmental quality and preservation of natural resources by revisiting and amending the policies on the number of room occupancy, guidelines and standardization, considering the total lodging area with its maximum capacity to keep the carbon emission at a minimum, thus contributing to the lowering of GHG emissions from the lodging industry.

This study analyzes the performance implications of adopting blockchain to support supply chain business processes. The technology holds as many promises as implementation challenges, so interest in its impact on operational performance has grown steadily over the last few years.

Drawing on transaction cost economics and the contingency theory, we built a set of hypotheses. These were tested through a long-term event study and an ordinary least squares regression involving 130 adopters listed in North America.

Compared with the control sample, adopters displayed significant abnormal performance in terms of labor productivity, operating cycle and profitability, whereas sales appeared unaffected. Firms in regulated settings and closer to the end customer showed more positive effects. Neither industry-level competition nor the early involvement of a project partner emerged as relevant contextual factors.

This research presents the first extensive analysis of operational performance based on objective measures. In contrast to previous studies and theoretical predictions, the results indicate that blockchain adoption is not associated with sales improvement. This can be explained considering that secure data storage and sharing do not guarantee the factual credibility of recorded data, which needs to be proved to customers in alternative ways. Conversely, improvements in other operational performance dimensions confirm that blockchain can support inter-organizational transactions more efficiently. The results are relevant in times when, following hype, there are signs of disengagement with the technology.

The purpose of this study is to investigate what sustainability initiatives are being implemented by Canadian independent restaurants and to determine if the initiatives represent all 10 categories of a sustainable restaurant as established by a sustainability initiative framework.

The study uses a qualitative approach of semi-structured interviews with 15 small to medium enterprise (SME), independent restaurant owners and operators across Canada. The data was digitally transcribed and thematic analysis was performed.

Results indicated that most initiatives aligned with the categories of “sustainable food/menu” and “waste reduction and disposables” which shows that the operators were inclined to pursue initiatives in customer view. Restaurants put limited focus on water supply, chemicals and pollution reduction, furniture and construction materials. Some of the barriers to implementing, measuring and learning about initiatives were: cost, lack of access to programs, supply chain complications, not having buy-in from owners and lack of time to implement.

The study recommends that governments provide incentives to implement sustainability initiatives that are out of sight to the customer. For example, implementing composting, energy efficient equipment and water saving processes. It is also recommended that third-party restaurant organizations provide more accurate, evidence-based guidance and education on implementing a wide-range of sustainability initiatives.

This research contributes to the literature on sustainability in restaurants and applies a sustainability initiative framework in a practical context. The study provides a unique assessment of the current state of restaurant sustainability and states where restaurants need to improve their efforts.