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To show how the analytical and visualization capabilities of geographic information systems (GIS) can enhance the communication, understanding and utility of data and information to be used in marketing planning, as compared with their conventional presentation as text and tables.

A digital map of the study area was generated and a set of market zones. A multiple regression model for predicting sale of the product under study was then developed, taking into account sales figures from specific distribution outlets and the demographic and socio‐economic characteristics of the population served by the distribution outlets in the identified market zones. Optimum routes and times between the manufacturing plant and the distribution outlets were derived.

Combining geospatial methods with conventional marketing techniques enables users to visualize the spatial distribution of data in maps, complemented by various statistical graphs and diagrams. This form of presentation yields better insights into the nature of the distribution process and better understanding of the diverse markets served.

This is a single case study of the solution to a logistical question in one district of one city in an African country. The findings must therefore be applied to other contexts with due caution.

The study nevertheless vividly demonstrates the important role that GIS can play in sales and marketing planning.

An application of planning technology normally encountered in applications beyond the marketing discipline, readily transferable with care to more familiar situations and settings.

In GIS applications for a realistic representation of a terrain a great number of triangles are needed that ultimately increases the data size. For online GIS interactive programs it has become highly essential to reduce the number of triangles in order to save more storing space. Therefore, there is need to visualize terrains at different levels of detail, for example, a region of high interest should be in higher resolution than a region of low or no interest. Wavelet technology provides an efficient approach to achieve this. Using this technology, one can decompose a terrain data into hierarchy. On the other hand, the reduction of the number of triangles in subsequent levels should not be too small; otherwise leading to poor representation of terrain.

This paper proposes a new computational code (please see Appendix for the flow chart and pseudo code) for triangulated irregular network (TIN) using Delaunay triangulation methods. The algorithms have proved to be efficient tools in numerical methods such as finite element method and image processing. Further, second generation wavelet techniques popularly known as “lifting schemes” have been applied to compress the TIN data.

A new interpolation wavelet filter for TIN has been applied in two steps, namely splitting and elevation. In the splitting step, a triangle has been divided into several sub‐triangles and the elevation step has been used to “modify” the point values (point coordinates for geometry) after the splitting. Then, this data set is compressed at the desired locations by using second generation wavelets.

A new algorithm for second generation wavelet compression has been proposed for TIN data compression. The quality of geographical surface representation after using proposed technique is compared with the original terrain. The results show that this method can be used for significant reduction of data set.

The Purpose of this study to examine the magneto hydrodynamics (MHD) using the analytical and numerical tool. In recent years, MHD growing tremendously due to the presence of multidisciplinary application in solving the tedious problems in the viscous flow.

The flows between the parallel plates under the steady inclined magneto hydrodynamic force were studied under the presence of different hall current and pressure gradient. The system was designed with the Darcian porous medium subjected to the incompressible flow. To analyse the flow reactions through stationary parallel plates, the governing equations were used using the integral transformation.

The velocity of the flows depends on the Hall parameter. As the intensity of the magnetic field increases the velocity of the flow is affected significantly. On the other hand, the radiation parameters also affect the flow of any medium through the porous medium.

Implementation of the Laplace and Fourier transform increases the reliability of the obtained results and further decreases the uncertainty during the measurement of the velocity of the flow without any restraints.

From the evident results, it is clear that the proposed MHD model can be applied to several operations of the fluid dynamic models. Further, the application of this technique will decrease the uncertainty in the results compared to the conventional computational models and other finite element and difference approaches.

This study aims to understand the impact of key resources on work engagement while working from home (WFH). Social support is divided into the support provided at home and leadership and organizational support (LOS) provided externally. Thus, the study contends that while WFH employees invest in internal resources, they seek validation, care and assurance from external resources. Previous studies' limitations were addressed by considering LOS as an external resource that strengthens the relationship between internal resources and work engagement.

Survey research (n = 244) was undertaken, and the interaction effect between LOS and the other resources like flexibility, work support and the home environment was empirically validated using PROCESS macro.

The interaction effects between LOS and the internal resources were positive, which suggests that LOS helps mitigate the stress associated with remote working and results in positive work engagement.

The study delineates LOS as an external resource that augments the effect of internal resources on work engagement, which impacts work engagement. In research, significantly less effort has been expended on studying the effect of the home domain on work engagement, which was also the focus of this study. Future research can look at other factors that impact work engagement, especially in a remote work setting.

Digital piracy continues to be a problem for firms, industry lobby groups and regulators. The purpose of this paper is to report initial findings of a review of the digital piracy literature. To reduce conceptual overlap and duplicated effort, the author aims to identify gaps in understanding for future research.

The paper reviews prior literature on digital piracy across disciplinary areas.

Six gaps are identified, being the supply of pirate digital materials, piracy for non‐desktop environments, alternative distribution methods, the quality of pirate materials, the behaviour of piracy groups, and the benefits of digital piracy. These gaps constitute important undiscovered areas of knowledge.

The paper excludes working papers and practitioner articles, which may contain different insight. The paper reports initial findings only, and the ongoing analysis may shed new light on these findings.

The paper contributes by providing a multidisciplinary view of gaps in the literature. No prior study has yet reviewed prior literature with a view to identifying these opportunities for future work.

The study examines whether the Basel-III regulations impact the financial performance, operational efficiency and resilience of Indian banks. Further, the study tests whether there is a variance in the impact between private- and public-sector banks.

The study uses panel data regression on data from 16 private- and 12 public-sector banks from the years 2016–2022. Random-effect estimation is used, and robust standard errors are calculated.

The main findings indicate that the Basel-III regulations related to capital and leverage boost public-sector banks' financial performance and resilience. However, a similar impact is not detected in the case of private-sector banks.

The findings signify that the Basel-III framework does not address the differences between public and private-sector banks. Therefore, the policy implications are of practical importance and indicate that Basel-III regulations should not be considered a one-size-fits-all type of bank. Instead, policymakers should consider the structural differences between private and public-sector banks concerning Basel-III regulations.

The study addresses a significant limitation of the Basel-III regulations, which, in their current state, somehow fail to account for the differences between the public- and private-sector banks.

This study assesses the extent to which integrated extension services contribute to the adoption of climate-smart agriculture (CSA) innovations within the cotton value chain in Burkina Faso.

To address the research question, a probit multivariate econometric model with sample selection is utilized. The model is applied to a random sample of farmers (n = 510), and the endogeneity is addressed through a control function approach.

The study highlights the central role of value chains, particularly in the cotton sector, in overcoming resource scarcity through integrated extension services. Findings show that smallholder farmers who benefit from sound extension services are more willing to adopt and diversify CSA technologies. These include improved seeds, conservation techniques, adapted planting dates and mechanization. This study confirms the synergistic nature of these technologies and emphasizes that effective climate risk mitigation depends on the combined adoption of CSA technologies.

The use of cross-sectional data limits the analysis of long-term farmer behavior, and due to data limitations, the focus was primarily on the contributions of cotton companies and farmers to climate risk mitigation. Future research using panel data across the value chain could provide a more robust insights for policy decision-making.

The study contributes to the existing body of knowledge by emphasizing the crucial role of integrated extension services within the cotton value chain in developing countries. This highlights the critical benefits for farmers and emphasizes the need to diversify modern technologies to effectively combat climate change and its variability in agriculture.

Purpose – To discuss, from the perspective of developing countries, recent proposals for reforming international standards for bank capital requirements.

Methodology/approach – After evaluating, from the viewpoint of developing countries, the effectiveness of capital requirements reforms and progress in implementing existing regulatory accords, the chapter discusses the procyclical effects of Basel regimes, and suggests a reform proposal.

Findings – Minimum bank capital requirements proposals in developing countries should be complemented by the adoption of an incremental, size-based leverage ratio.

Originality/value of chapter – This chapter contributes to enlarge the academic and policy debate related to bank capital regulation, with a particular focus on the situation of developing countries.

This paper seeks to identify the prevailing streams in the research of climate-smart agriculture in order to help to conceptualize this new scientific notion and assist in drawing clear borders between climate-smart agriculture, agricultural sustainability and resilience.

In order to conceptualize the climate-smart agriculture (CSA), the current research provides an in-depth bibliometric analysis indicating the prospective research directions in CSA. The findings of this paper are important in guiding the research on creation of climate-smart agriculture across different regions.

The notion of the CSA covers three main objectives: increased productivity, enhanced resilience and reduced environmental footprint of agriculture. It is found that due to its novelty, the climate-smart notion does not always have its defined research agenda and is considered to be both a constituent part of some other scientific framework (e.g. sustainability) and an independent research avenue.

This paper presents an in-depth analysis of the literature on the CSA. The linkages among the concepts, research centers and research strands are identified via the citation-based analysis.