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This chapter investigates the relevance of sustainability accounting practice (SAP) in the actualisation of the United Nations (UN) sustainable development goals (SDGs) 2030. Whilst the SDGs appear general, broad and far-reaching, the sustainable development agenda (SDA) impliedly places responsibilities on member nations to evolve strategies that will ensure the achievement of the SDGs in their respective countries in accordance with national circumstances and peculiar challenges. This brings to bear the need to consider measures to translate the SDGs to realities, especially in developing countries. We use a structured questionnaire to collect data on the application of SAP from publicly listed manufacturing companies in Nigeria. Secondary data on economic performance were obtained from the annual reports of companies for 5 years (2014–2018). Structural Equation Modelling and Mann-Whitney test were applied to analyse data. Result suggests that whilst the implementation level of SAP by companies is generally moderate, internalities/‘pull factors’ such as market orientation and deliberate strategy formulation significantly determine the sophistication level of SAP. The insignificant effect of the externalities/‘push factors’ (i.e. environmental uncertainty, structure of ownership and control, and intensity of competition) on SAP suggests that external pressure on companies to implement sustainability initiatives is weak. We also find that extensive usage of SAP can sustain economic performance in the long run. The chapter provides empirical evidence that manufacturing companies extensively implementing SATs can sustain economic performance and would likely have enough economic resources to implement some initiatives that are fundamental to the actualisation of the SDGs 2030. The chapter contributes to the sparse literature on sustainability practice in developing countries, and incrementally adds to knowledge on the factors driving SAP in a jurisdiction characterised by lax regulatory framework and weak institutional apparatus on sustainability. As evident in our findings, SAP engenders sustainable economic performance.

Enterprise software is a predominant sector in the European software industry. Four of the five largest European software companies are found in this sector. Interestingly, two of these — among them SAP as one of the two global market leaders — are located within the same industrial agglomeration in South-Western Germany. This agglomeration, the SAP cluster, further consists of enterprise software SMEs forming a ‘satellite system’ centred around the large players, which fosters the formation of ‘mutualistic symbiotic’ relationships between large and small firms. At first sight, cluster formation in the context of the enterprise software industry might seem perplexing considering that traditional rationales of agglomeration economies seem obsolete in an environment where advances in communications technology would permit companies to locate in any location within a modern developed economy instead of concentrating in proximity to each other or to major players in the industry. This chapter explores possible explanations of this agglomeration phenomenon based on patterns of competition, collaboration and the formation of social capital between smaller firms and large anchor firms.

The findings of a comparative analysis between the SAP cluster environment and two categories of controls (firms in other agglomerated environments and those unaffected by agglomeration effects within Germany) show that SAP cluster SMEs might simultaneously benefit from heightened intensity of competition and a more pronounced inclination towards collaboration. Moreover, the role of social capital derived from SAP as anchor firm clearly differentiates SAP cluster participants from firms located within other environments.

This study proposes targeted modernization of the Department of Defense (DoD's) Joint Forces Ammunition Logistics information system by implementing the optimized innovative information technology open architecture design and integrating Radio Frequency Identification Device data technologies and real-time optimization and control mechanisms as the critical technology components of the solution. The innovative information technology, which pursues the focused logistics, will be deployed in 36 months at the estimated cost of $568 million in constant dollars. We estimate that the Systems, Applications, Products (SAP)-based enterprise integration solution that the Army currently pursues will cost another $1.5 billion through the year 2014; however, it is unlikely to deliver the intended technical capabilities.

Purpose: Analysis and systematisation of global trends in the transformation of DSSs from the standpoint of solving their global and local problems and determining the central axioms of setting up and supporting business processes in DSSs.

Need of the Study: Decision Support Systems (DSSs) are the basis of doing business in an enterprise by automating business processes, keeping accounting and reducing various risks associated with complexity, labour-intensiveness, slow execution time and, therefore, potential loss of profit. In recent decades, the rapid development of DSSs has led to the emergence of complex enterprise information system architectures. At the same time, many local business processes are not implemented or are partially implemented. In Ukraine, such techniques include VAT accounting.

Methodology: The study is based on the literature analysis, Internet resources and practical experience obtained during the SAP ERP system implementation projects. Particular attention is paid to developing information systems architecture to solve the problems enterprises face during their growth. Thanks to the analysis of the example of the realisation of the Internet sales process and the induction method, the axioms of automation of business processes in accounting systems were formed.

Findings: Regardless of the qualitative and quantitative transformation, modern DSSs still cannot solve all the enterprise’s problems, mainly due to the use of paper documents and the diversity of national legislation. By the example of the SAP ERP system, the optimal implementation of the business process of VAT liabilities was proposed by Ukrainian legislation for sales below cost price.

Practical Implications: Compliance with the established axioms of automation of business processes will reduce the cost of resources for their implementation, maintenance and correction of potential errors and, therefore, will provide an opportunity to process more transactions. Implementing the proposed algorithm for calculating VAT liabilities in SAP ERP for sales below the cost price will simplify the existing process and enable the fulfilment of other requirements within the framework of current legislation.

In the age of data, enterprises have more information available to them than ever before, yet many organizations still struggle to harness its full potential. In this chapter, we explore the data value equation and how it translates into an end-to-end data management strategy that enables enterprises to turn their business data into business value. Starting with the concept of “amount,” the chapter looks at the challenge of storing big data. The second element of the equation relates to the “quality” of data and its fundamental role in enabling confident decision-making. Finally, the third element of the equation focuses on the importance of the consumption of that data in analytics tools that not only visualize the data but proactively help users uncover, explore, and act on insights. By yielding the highest value at every stage of this equation, businesses can see more, understand more, and do more with their data.

Songkhla Lake is the largest lake in Thailand along the Bay of Thailand, situated at latitude 7°08′ and 7°50′ north and longitude 100°07′ and 100°37′ east (Fig. 4.1). The lake covers an area of approximately 1,042km², and consists of four interconnected lake ecosystems (Ratanachai & Sutiwipakorn, 2005): Thale Noi (approximately 27km²), Thale Luang (approximately 473km²), Thale Sap (approximately 360km²), and Thale Sap Songkhla (approximately 182km²).