The study explores improving opportunities of forecasting accuracy from the traditional method through advanced forecasting techniques. This enables companies to optimize inventory management, production planning, and reducing the travelling time thorough vehicle route optimization. The article introduced a holistic framework by deploying advanced demand forecasting techniques i.e., AutoRegressive Integrated Moving Average (ARIMA) and Recurrent Neural Network-Long Short-Term Memory (RNN-LSTM) models, and the Vehicle Routing Problem with Time Windows (VRPTW) approach. The actual milk demand data came from the company and two forecasting models, ARIMA and RNN-LSTM, have been deployed using Python Jupyter notebook and compared them in terms of various precision measures. VRPTW established not only the optimal routes for a fleet of six vehicles but also tactical scheduling which contributes to a streamlined and agile raw milk collection process, ensuring a harmonious and resource-efficient operation. The proposed approach succeeded on dropping about 16% of total travel time and capable of making predictions with approximately 2% increased accuracy than before.

The research objective is to affirm the play of gender diversity and the role of leaders in promoting the concept among businesses for growth and long-term sustainability. The detailed literature search indicated that the culture of gender diversity can only be implemented if the leader practices three key leadership elements, which are effective communication (EC), emotional intelligence (EI), and better decision-making (DM). The paper strives to project the importance of gender diversity in managing market competition, the role of a leader in managing gender diversity, and how gender diversity impacts business growth and sustainability. The paper provides a different model for organizational leaders to instill and promote diversity. The study undertook a literature research approach to gain an in-depth understanding of the leadership role based on the current pool of literature to identify the factors that could promote diversity. The literature review concurred with the importance of implementing gender diversity in the business and assessing the long-term growth and the critical role of leadership as an enabler. The research concluded that leaders are required to play an active role in promoting gender equality to ensure it would directly impact business growth. The study provides a potential conceptual framework for future research to take over subsequently using a quantitative or qualitative method.

Disinformation can be defined as false information deliberately initiated to cause harm to a person, social group, organization, or country. Gendered disinformation then attacks or undermines people based on gender or weaponizes gendered narratives for political, social, or economic objectives. Gendered disinformation comes in different forms, such as harmful social media posts and graphics, sexual fabrications, and other forms of conspiracy theories. It is used in various situations and at different places. This research discussed the instances of gendered disinformation and harmful online narratives that are recognizable and visible. It sheds light on the potential direct and indirect impact on youth experiences. In this study, the young participants (aged 18–30) focused on the instances of the existing online narratives of gendered discrimination from Belgium, Greece, Latvia, Spain, and Türkiye. The research provided an initial analysis of what “gendered information and harmful online narratives” look like and some recommendations from youth perspectives on countering the issues. The study concluded that there is a need for more research, further harmonization of legal frameworks, and strengthened capacity to detect gendered disinformation, propaganda, and hate speech.

Fintech as a three-dimensional phenomenon reflects the rapidly changing technological, financial and business environment. The bibliometric analysis of scientific articles allowed us to identify the main themes and create a map of the field of fintech influences. Systematization of scientific articles revealed the influence of economic development and socio-demographic inequality on fintech development. Government regulatory policies can accelerate the digitisation of financial services and financial inclusion and help the fintech sector face geopolitical challenges. Fintech’s impact was divided into three areas: financial stability and sustainable development, the business ecosystem and human behaviour. The research we summarised allowed us to identify the mechanisms through which fintech influences various fields. A complex approach to the influence of fintech enables us to understand the phenomenon and make better decisions.

This study aims to examine the mediating role of institutional trust (IT) between perceived corruption and subjective well-being (SWB) using data from 1566 households in a developing country. It deploys ordinary least square (OLS) and an ordered logit model within the generalized structural equation model. Results show that individuals who perceived no corruption in a country report more IT and higher levels of SWB. Furthermore, the direct effects of good governance, perceived IT, and the absence of corruption on SWB is also positive. Moreover, satisfaction with hospital services also improves happiness and life satisfaction levels. This study improves and validates how corruption is assessed to support future measures that reduce its harmful effects. Moreover, the masses must have widespread awareness about the critical nature of corruption and IT relative to well-being. This study also highlights the need to develop strong institutions to improve trust and minimize corruption.