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Housing First (HF) is an evidence-based practice effective in reducing homelessness among those who experience chronic homelessness. However, a strong synthesis evaluating the effectiveness of this intervention is lacking for people who use drugs. The purpose of this study is to explore international literature databases to identify the effectiveness of the HF programme among people who use drugs.

A modified framework from Arksey and O’Malley (2005) was used, namely: identifying the research question; developing inclusion and exclusion criteria; identifying relevant studies for study selection; charting the data; and collating, summarising and reporting the results.

Three main themes were identified: substance use related outcomes, housing-related outcomes and social outcomes. There is strong evidence that HF increases housing retention and reduces homelessness among chronically homeless people who use drugs. However, literature relating to substance use and social outcomes for this population report mixed and inconclusive findings.

This scoping review concludes that additional research is required to conclusively determine whether HF is an effective intervention for homeless substance users. Future researchers must use formal assessments of substance use and ensure clear reporting of the HF intervention is accomplished. It is recommended for researchers and policymakers to consider the specific needs of the people who use drugs before implementation of HF for this population.

Differential effectiveness of HF through diagnostic subgroups such as alcohol use and drug use is varied with alcohol use being found to decrease due to the HF programme, but findings relating to other drug use outcomes are varied. As most previous studies used the Addiction Severity Index (ASI) to measure substance use among participants, however, the ASI, a self-reporting measure has unstable criterion validity and can cause under or over reporting of substance use. Structured toxicology or diagnostic assessments of substance use must be used for research instead to assist researchers in making firm conclusions about the reported rates.

The slightly poorer housing outcomes among people who use substances indicate that this group may need more intensive approaches to finding and maintaining housing. Additional services for the group that address comorbid problems and consequences relating to substance use are required. It is suggested that housing should be provided within an integrated model that offers additional support services such as case management as when well matched to clients, case management appears to be an effective intervention among homeless sub-populations, as it reduces substance use, improves quality of life and health outcomes, improves social connectedness and increases housing tenure and satisfaction.

This scoping review concludes that additional research is required to conclusively determine whether HF is an effective intervention for homeless substance users. Future researchers must use formal assessments of substance use and ensure clear reporting of the HF intervention is accomplished. It is recommended for researchers and policymakers to consider the specific needs of the people who use drugs before HF implementation for this population.

This paper proposes a framework that focuses on instilling feelings of gratitude within consumers. Participant sports events are often funded largely by sponsorship revenues, and their consumer base is considered to represent an identifiably unique market. These conditions are argued to be favourable for integrating a gratitude framework. A model is presented that depicts gratitude as a mediating mechanism within a reciprocal relationship between the sponsor and the consumers. It includes purchase intentions as the behavioural outcome of gratitude. The findings suggest that incorporating feelings of gratitude may prove to be advantageous for potential sponsors within the participant sports industry.

Supply chain is an important aspect for all the companies and can affect many aspects of companies. Especially the disruption in supply chain is causing huge impacts and consequences that are difficult to deal with. This chapter presents a review of selected multiple criteria problems used in supply chain optimization. Research analyzed the multiple criteria decision-making methods to tackle the problem of supplier evaluation and selection. It also focuses on the problem of supply chain when a disruption happens and presents strategies to deal with the issue of disruptions in supply chain and how to mitigate the impact of disruptions. Prevention, response, protection, and recovery strategies are explained. Practical part is focused in the risk-averse models to minimize expected worst-case scenario by single sourcing. Computational experiments for practical examples have been solved using CPLEX solver.

Drawing on social exchange theory, the purpose of this paper is to develop and test an integrative model of internal and external factors determining employee perceptions of their organizational service climate.

Data are collected from a sample of 549 service employees in local and foreign-owned service firms in the emerging market of Vietnam. Structural equation modeling is used to test the hypothesized relationships.

Leadership commitment to service quality, internal processes and service standards, work facilitation resources and service-oriented human resource practices are positively associated with service climate. Internal customer service mediates the effects of these variables on service climate, with the exception of work facilitation resources. Furthermore, competitive intensity negatively moderates the impact of the internal drivers on service climate. The results also suggest that, depending on the ownership types (local vs foreign firms), the influences of the internal drivers of service climate might differ.

Despite the recognition of the role of organizational resources in fostering service climate, the integration and processes by which such resources influence service climate have not been fully examined. In particular, little is known about the external factors facilitating or hindering service climate, especially from an emerging market perspective. By examining both internal and external drivers of service climate under different ownership types, this paper enriches the existing knowledge on service climate and provides important implications for service firms operating in emerging markets.

A free trade area (FTA) is the designated economic area where bilateral trades between membership nations are tax-free. An FTA provides an important knowledge-sharing platform across cultures. Most studies discuss FTA issues from the perspectives of economics and international law. However, this study aims to analyse the challenges and opportunities relating to FTAs from a novel, integrative perspective of culture and knowledge management.

This study used a single-case study design to investigate the Sino-Vietnam bilateral trade conditions in the FTA of the Regional Economic Comprehensive Partnership. Semi-structured interviews were conducted in Yunnan province, China, with government officials and firm managers involved in Sino-Vietnam trade.

This study identifies three major challenges in the China-Vietnam case: the existence of a knowledge iceberg, the lack of deep mutual trust and the inconsistency of bilateral port policies. This study identifies three possible solutions to these challenges: creating different communication channels for knowledge sharing, building mutual trust and respect for knowledge sharing and reducing inconsistencies in the two border gate management systems.

Considering cross-cultural knowledge sharing, this study provides new insight and feasible guidance for better cooperation of member countries of FTAs all over the world.

This research is novel because it considers the FTA as a knowledge-sharing platform where the intersection of diverse cultural values and judgement may result in a variety of knowledge icebergs. Thus, this study enriches the FTA research by focussing on the intersection of culture and knowledge management.

The purpose of this paper is to explore the challenges of implementing accountable artificial intelligence (AI) systems in India, focusing on the need for algorithms to justify their decisions, especially in subjective and complex scenarios. By analyzing various government projects, documented biases and conducting empirical case studies and experiments, the study highlights the limitations of AI in recognizing the nuances of India’s unique social landscape. It aims to underscore the importance of integrating political philosophy to ensure that AI systems are held accountable within India’s sociopolitical context, urging policymakers to develop frameworks for responsible AI decision-making.

The research adopts a mixed-methods approach to address the five research questions. It begins with an extensive literature review, focusing on AI’s transformative potential, algorithmic bias and accountability in the Indian context. Data is collected from 15 AI use cases in health care, education and public safety, 13 government automated decision tools and five bias cases, including facial recognition and caste-based discrimination. Additionally, ten case studies and three experiments on ChatGPT are analyzed. Content analysis is used to interpret and categorize the data, identifying patterns and themes. Specific case studies and experiments on autocompletion in search engines further support the findings.

The study revealed significant limitations in current AI systems when applied to India’s complex socio-cultural landscape. Analyzing 15 AI applications and 13 government projects, the research identified multiple instances of algorithmic bias. Experiments with Google’s autocomplete and ChatGPT showed that these systems often reinforce social stereotypes and struggle with nuanced, subjective situations. The findings emphasize the accountability gap in AI-driven decisions, highlighting the need for rigorous oversight, particularly in welfare projects where errors could lead to severe consequences. The study recommends developing regulatory frameworks, improving AI design and raising public awareness to address these challenges.

In the context of complex societies like India, a pressing concern arises: who should assume responsibility for the repercussions stemming from algorithmic failures to comprehend subjective complexities? To this end, there exist no serious scholarly works toward which present paper tries to shed new insights. It draws upon insights from the corpus of political philosophy literature, encompassing both classical and contemporary notions of responsibility, and seeks to establish connections between these concepts and the unique sociopolitical structure of India. The work is unique in the focus of the paper and is original in the direction projected.

Knowledge sharing culture and performance climate are organizational interventions used by organizations to influence and shape employees’ attitudes and behavior toward knowledge sharing. While each strategy directly influences employees to respond accordingly, the interplay between the incongruent objectives of these two strategies could lead to social dilemmas in knowledge sharing. This study aims to understand social dilemmas in knowledge sharing due to the interaction between knowledge sharing culture and performance climate.

An experimental study using the vignette technique was performed on 240 working adults. ANOVA was conducted to examine the interplay effect between knowledge sharing culture and performance climate on knowledge sharing intention.

Results showed that performance climate moderates the effect of knowledge sharing culture on employees’ knowledge sharing intention. The findings highlight the importance of having goal congruence between knowledge sharing culture and performance climate to minimize the social dilemmas in knowledge sharing.

This study develops a moderation model based on the theory of social dilemma to investigate the interaction between knowledge sharing culture and performance climate and enhance the theoretical validity and exactness of the knowledge sharing literature. The findings from this study provide theoretical insights and practical implications for social dilemmas in knowledge sharing, as well as the foundation for continuous research into knowledge sharing and people management practices that may have a strong influence on employees’ knowledge sharing behavior, attitude and performance.

This paper aims to find the role of education in enhancing the status of women entrepreneurs through empowerment and self-employment. This will also help in upliftment of women and community services being contributed by them. The data were collected from all over India (east, west, north and south).

The empirical study aims at developing the understanding about role of nature of business-influencing community services through women entrepreneurship. Several organizations from manufacturing and services sectors were selected for the empirical study established by women entrepreneurs.

The data were collected through a questionnaire survey, observations and an interview method. There is a significant relationship between size of the business expansion and the sector of business and profit generated for enhancing community services through women entrepreneurship.

This implies that in the Indian context, mostly women entrepreneurs invest and set up enterprises mostly in sectors of beauty, retail, food and childcare, other sectors that require less investment, less manual labor and comparatively non-heavy engineering sectors.

The results show that the expansion plan is dependent on the profits and objective of community services generated in the business.