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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.

For over a decade now, various stakeholders in accounting education have called for the integration of technology competencies in the accounting curriculum (Association to Advance Collegiate Schools of Business (AACSB), 2013, 2018; Accounting Education Change Commission (AECC), 1990; American Institute of Certified Public Accountant (AICPA), 1996; Behn et al., 2012; Lawson et al., 2014; PricewaterhouseCoopers (PWC), 2013). In addition to stakeholder expectations, the inclusion of data analytics as a key area in both the business and accounting accreditation standards of the AACSB signals the urgent need for accounting programs to incorporate data analytics into their accounting curricula. This paper examines the extent of the integration of data analytics in the curricula of accounting programs with separate accounting AACSB accreditation. The paper also identifies possible barriers to integrating data analytics into the accounting curriculum. The results of this study indicate that of the 177 AACSB-accredited accounting programs, 79 (44.6%) offer data analytics courses at either the undergraduate or graduate level or as a special track. The results also indicate that 41 (23.16%) offer data analytics courses in their undergraduate curriculum, 61 (35.88%) at the graduate level, and 12 (6.80%) offer specialized tracks for accounting data analytics. Taken together, the findings indicate an encouraging trend, albeit slow, toward the integration of data analytics into the accounting curriculum.

For the past decades, issues concerning the impact of economic integration on financial integration, especially exchange rate integration, has been criticized among several regions such as ASEAN. This chapter intends to: (i) test for the exchange rate integration among the ASEAN-5, including Indonesia, Philippines, Malaysia, Singapore, and Thailand, using panel data techniques; and (ii) determine the impact of economic integration on the level of exchange rate integration among the ASEAN-5 countries. The purchasing power parity (PPP) is tested using panel unit root tests on monthly data. The results confirm the PPP among the ASEAN-5 countries due to lower transaction costs from ASEAN agreements. The chapter applies Multivariate GARCH (M-GARCH) models using daily data to determine the level of exchange rate integration among the ASEAN-3, including Malaysia, Singapore, and Thailand. The results of panel cointegration tests using quarterly data of economic integration and exchange rate integration confirm the impact of international trade openness on exchange rate integration. With free trade agreements leading to lower trade barriers, lower transaction costs, and low transportation costs, the economic integration among ASEAN countries practically leads to a higher degree of exchange rate integration. The findings imply that trade liberalization has the strongest effect on the real exchange rate. As such, regulators of ASEAN countries should pay more attention to the exchange rate policies of each other because of the interdependence of their exchange rates.

The Balanced Scorecard (BSC) emphasizes on the of information system to track a limited number of balanced metrics (measures and indicators) that are closely aligned with organization's goals. This study investigates how system integration in different forms is related to the success of using the BSC for performance measurement. The use of a BSC in performance evaluation is considered in five contexts: determining cost, measuring efficiency, ensuring quality and customer satisfaction measure, promoting continuous innovation and monitoring contract negotiation. The findings indicate that system integration defined in the study positively relates to the success of using the BSC in all five decision perspectives. The findings conclude that hospitals need a streamlined, information integration across the continuum of care to better assess the operation results, in both organizational and technical perspectives.

An increased understanding of the capabilities needed for HR Analytics and how to build synergies from these capabilities is of practical and academic importance. Using the lens of Systems Theory, an explorative case study is performed in a multinational food distribution company that is building its HR Analytics Capabilities. In this study, the synergistic enablers and mechanisms have been examined in practice for the domain of HR Analytics and the BA Capabilities involved (clustered into Technology, Governance, Analytic Practices and Processes, People and Culture). Examples of (in)compatibilities, integration efforts, mechanisms and synergistic outcomes are given from the case organization. This study provides insights on how in practice the interaction between BA Capabilities can lead to synergistic relationships and synergistic outcomes and through what mechanisms and enablers this is being facilitated. The study contributes to HR Analytics and IS literature in terms of the use of synergistic enablers and mechanisms in practice.

Industries’ projects are associated with large amounts of data throughout the project lifecycle. As the size of the projects grows, so does the data associate with the projects. To generate useful information from Big Data, appropriate predictive analysis and data visualisation tools are required. Therefore, the use of visualisation techniques will target this expected evolution of big data. Thus, this study aims to give an overview of the migrations of an existing computer-based application, used to analyse multidata sources of enterprises, to a web-based application. Essential development aspects were concerned with the process of application development, platform development, software utilisation, and efficient display interface according to the enterprise’s requirement. Two solutions such as Microsoft Power Business Intelligence (BI) and the Dynamic Web System have been presented that proven to be widespread because these solutions have met the enterprises’ requirements in terms of expenses, policy, security, maintenance, and interactive interface. Also, an assessment of these solutions and challenges to adopting has been presented. Eventually, the system developed on the web overcomes computer-based systems in solving their problems such as deploying and maintaining applications and providing efficient and richer user interfaces for users. The web-based visualisation application has wide beneficial features; it provides high-performance real-time data analysis, data multimodal visualisation, and friendly to use. Web-based applications will increase confidence in decision-making based on data visualisation, which will positively reflect on comprehensive data analysis processes for project success.

This chapter focuses on the empirical research on the resource-based view of the firm (RBV), and its main purpose is to analyse the use of mixed methods in this perspective. The recent advance of the RBV has posed new challenges, and the issue need not be quantitative versus qualitative methods, but rather how to combine the strengths of each in a mixed methods approach. This study carries out a literature review about the use of mixed methods in the RBV and provides an examination of opportunities and challenges associated with the application of mixed methods in order to improve RBV research. Moreover, the chapter seeks to introduce mixed methods research in order to familiarize to strategic management and the RBV scholars about this type of research and its terminology, procedures, designs and purposes.