Historical Development of Archiving Models to Preserve University Archives

The chapter provides historical development of archives and records management models. A records management model has been developed by scholars and institutions. The models were created to assist organizations to navigate, benchmark, and improve records management programs. They were also applied to implement records and archives management programs in most organizations. Nevertheless, achieving consensus on internationally agreed theories for the records and archives management theories was not an easy task and part of the reasons for this layer with different theoretical perspectives.

Digital Value Innovation and Strategic Management Practices of Adyar Ananda Bhavan

This case focuses on the strategic management practices of Adyar Ananda Bhavan (prevalently known as A2B), a quickly developing contemporary sweet chain of Chennai in South India that is currently proclaiming a target of 900 crores turnover from 2021 onwards with 8,000 employees. The case has a close theoretical association with the famous strategic management models, for instance Michael E. Porter's model, Ansoff Matrix, Blue Ocean Strategy, Balanced Scorecard, and Resource-Based View and explains how an organization can strategically grow its business through digital value-based innovation. Contending sources of data, for example print and electronic media, have been utilized to accumulate and report raw facts and figures. The authors analyzed based on insights gained from various academicians from different universities across India, some mid-level managers from industry, and some unofficial conversations with A2B staff in Bangalore. This case is planned to be utilized in the strategic management subject for both undergraduate and postgraduate courses.

Design of fire Design of Fire Detection System Based on Artificial Intelligence Technology

In this era of rapid development of network and technology, data has become the most important part of companies and people. In fact, the software and system series are just the framework for storing data, and real data occupies an important position in the entire communication. This paper focuses on data mining and management models of public data resources. Starting from how to mine useful information from public data resources and how to manage such data, it puts forward several classifications of big data management models and their respective advantages.

Study of Success Factors in Rural Tourism to Promote Local Development in the Most Forgotten Regions

The coronavirus has seriously affected the economy in general and tourism in particular. However, at the same time, it has been a great opportunity for rural tourism, as this type of tourism has been one of the beneficiaries of this health crisis. This is partly explained by the fact that travelers have turned to nature destinations and accommodation that guarantees social distance. Under the premise that tourism is a community product and that it is necessary to count on the community and local capacities, the aim of this research is to find out how the factors that make up the destination management models affect the development of rural tourism in a given region. It also seeks to know their influence on the results of rural accommodation companies in order to promote local development in this state of the pandemic. The work has been carried out with a total of 156 tourist accommodations. A total of eight management factors and five different clusters of companies were detected from the analysis of the dimensionality of the model.

The Decisive Role of Intangible Assets in the Development of More Humane and Profitable Organizations in the Post-Pandemic Context

This chapter aims to describe the role of intangible assets (trust, love, and well-being) in the development of organizations. After a first approach in which the authors point out distortions of the traditional organizational management models and politics in Brazil, they propose solutions adopted by several companies in construing of humanized models. Based on these successful experiences, they highlight several indicators that demonstrate the profitability of these organizations and their differentials in tackling the post-pandemic economic and social crisis.

A Review of Groundwater Management Models with a Focus on IoT-Based Systems

Globally, groundwater is the largest distributed storage of freshwater and plays an important role in an ecosystem’s sustainability in addition to aiding human adaptation to both climatic change and variability. However, groundwater resources are dynamic and often change as a result of land usage, abstraction, as well as variation in climate. To solve these challenges, many conventional solutions, such as certain numerical techniques, have been proffered for groundwater modelling. The global evolution of the Internet of Things (IoT) has enhanced the culture of data gathering for the management of groundwater resources. In addition, efficient data-driven groundwater resource management relies hugely on information relating to changes in groundwater resources as well as their availability. At the moment, some studies in the literature reveal that groundwater managers lack an efficient and real-time groundwater management system that is needed to gather the required data. Additionally, the literature reveals that the existing methods of collecting data lack the required efficiency to meet computational model requirements and meet management objectives. Unlike previous surveys, which solely focussed on particular groundwater issues related to simulation and optimisation management methods, this paper seeks to highlight the current groundwater management models as well as the IoT contributions.

The Impact of Climate Change on Forest Development: A Sustainable Approach to Management Models Applied to Mediterranean-Type Climate Regions

Forest ecosystems are divided into three major groups: boreal, temperate, and tropical. These can be subdivided according to the particularities of each type due to its relative location (littoral, mountain, etc.), climatic conditions, or even geological substrate. Climate change affects each type of forest ecosystem differently. However, it seems to affect temperate forests in Mediterranean-type climate regions more intensely. These regions are located over several continents, with major impacts of increased temperature during summer and decreased precipitation during winter. This situation affects Mediterranean forest ecosystems by increasing the risk of fires, which arise more frequently and are more severe. In addition, the emergence of pests and the spread of invasive species are well-known problems affecting these ecosystems. All of these conditions contribute to losses of productivity and biodiversity. To avoid the destruction of forest resources, and since Mediterranean-type climate regions are considered climate change hot spots with increased vulnerability to disturbances, the implementation of adaptive forest management models could contribute to increasing the resilience of such forests, which could also contribute to mitigating climate change.

A Review of Groundwater Management Models with a Focus on IoT-Based Systems

Globally, groundwater is the largest distributed storage of freshwater and plays an important role in an ecosystem’s sustainability in addition to aiding human adaptation to both climatic change and variability. However, groundwater resources are dynamic and often change as a result of land usage, abstraction, as well as variation in climate. To solve these challenges, many conventional solutions, such as certain numerical techniques, have been proffered for groundwater modelling. The global evolution of the Internet of Things (IoT) has enhanced the culture of data gathering for the management of groundwater resources. In addition, efficient data-driven groundwater resource management relies hugely on information relating to changes in groundwater resources as well as their availability. At the moment, some studies in the literature reveal that groundwater managers lack an efficient and real-time groundwater management system which is needed to gather the required data. Additionally, the literature reveals that the existing methods of collecting data lack the required efficiency to meet computational model requirements and meet management objectives. Unlike previous surveys, which solely focussed on particular groundwater issues related to simulation and optimisation management methods, this paper seeks to highlight the current groundwater management models as well as the IoT contributions.