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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.

This study examines challenges to the retrospective financial evaluation of continuous improvement (CI) activities. Through a review of the literature and active engagement with CI implementations, we identify several issues that may lead to divergence between operational and financial assessments. Out of this conflict emerges a set of concepts that we find important − the delineation of soft versus hard capacity benefits, the distinction between capacity used and capacity paid for, and the data gaps that relate to these benefits – and recognize operational improvement and financial improvement as distinct, yet interrelated, theoretical constructs. This study helps explain a series of persistent gaps in the management accounting literature: Conflict between operations and accounting managers, the divergent perspectives of Johnson and Kaplan after their publication of Relevance Lost (Johnson & Kaplan, 1987), and the need for both operational control (including detailed capacity control) and accounting control in CI firms. Instead of one control system being at odds with the other, or co-existing despite each other, each of these systems support a different component of the financial improvement process. Operational control systems in CI firms emphasize non-financial information and social and behavioral controls that empower decision-making by employees, while accounting control systems seek to motivate and translate operational gains into financial gains. Soft and hard benefits linked to capacity play an integral role in understanding the difference in focus of each control system, while data limitations help to explain why these systems remain loosely coupled in practice (or absent, as seems to be the case with detailed Capacity Management Systems).

Introduction: Traditional recruitment system relied heavily on the applicants’ curriculum vitae (CV). This system, besides becoming redundant, has proved to be a futile exercise leading to the hiring of candidates that eventually turn out to be ‘misfits’. CVs were the only source of candidates’ data available for the recruiters a few years back. Face-to-face interviews was considered to be the ultimate solution for hiring suitable candidates. However, evidence suggests that interview scores and job performances do not complement each other. Advancement in artificial intelligence (AI) has introduced several techniques in the recruitment process.

Purpose: This chapter underscores the drawbacks of the traditional recruitment process. Evidence suggests that the traditional recruitment process is prone to subjectivity and is time-consuming. Surprisingly, despite the disadvantages, the integration of AI into the recruitment process is still slow. This chapter highlights the need to harness AI and the advantage technology could bring to the recruitment process. Some of the techniques that are garnering attention and widely used by organisations, such as chatbots, gamification, virtual employment interviews, and resume screening are described to enable the readers to understand with less effort. Chatbots and gamification techniques are described through process flow charts. We also describe the various types of interviews that could be conducted through virtual platforms and the modality by which the resume screening technique operates. Today, we are at a juncture wherein it is pertinent to acknowledge the superiority of technology-driven processes over traditional ones. This chapter will help the readers to understand the modus operandi to implement chatbots, gamification, virtual interviews and online resume screening techniques besides their advantages.

Scope: Although chatbots, resume screening, virtual interviews, and gamification are used in other areas, too, such as training and development, marketing, etc., in this chapter, we restrict solely to employee recruitment processes.

Methodology: Scoping review is used to examine the existing literature from various databases such as Google Scholar, IEEE, Proquest, Emerald, Elsevier, and JSTOR databases are used for extracting relevant articles.

Findings: Automation and analytics in recruitment and selection remove bias which is otherwise increasingly found in manual hiring processes. Also, previous studies have observed that candidates engage in impression management tactics in traditional face-to-face interviews. However, through automated recruitment processes, the influence of these tactics can be eliminated. AI-based virtual interviews reduce human bias. It also helps recruiters to hire talents across the globe. Gamification improves the candidate’s perception of the work and work environments. Through gamified techniques, the recruiters can understand whether a candidate possesses the required job skills. Chatbots are an interactive technique that can respond to interviewees’ queries. Resume screening techniques can save the recruiter’s time by screening and selecting the most appropriate candidates from a large pool. Hence, the chosen candidates alone can be referred to the next stage of the recruitment cycle. AI improves the efficiency of the recruitment process. It reduces mundane tasks. It saves time for the human resources (HR) team.

Long-term stewardship (LTS), the caretaking of hazardous materials, is one of the main unanticipated challenges of high modernity. LTS refers to the process of protecting public health and the environment through the effective management of systems or materials over multiple generations, in some cases over many many generations. It arises from the recent realization that the full remediation of contaminated waste sites is beyond scientific knowledge, best technologies, or available resources.¹ Some materials will demand care and risk management over several generations while others, such as high-level nuclear waste, will require a succession of generations that exceeds the longevity of any civilization known to history.

Hotel classification systems are used to convey information about facilities and services. Yet, they have been prone to criticism for overemphasizing facilities at the expense of other matters of importance to service quality. In contrast, online travel agents (OTAs) use innovative methods to evaluate satisfaction with hotels. Conventional systems will lose relevance if they do not step up to consider service aspects associated with customer satisfaction. This chapter probes five hotel classification systems along with one OTA and leverages the literature to propose an improved framework classification. This is based on nine critical areas that include service quality, infrastructure, facilities and services, human resources, sustainability, safety and security, accessibility, quality systems, and online hotel ratings.

This paper offers a personal perspective on the author's experience working with issues relating to the long-term management of nuclear contaminated sites, from the programmatic to the site-specific. Long-term care is and will be far more challenging than remediation activities; thus, the dynamics of long-term care require different approaches to problem solving. The need for nonlinear thinking will challenge management that has traditionally relied on linear approaches. Integrated risk management potentially offers some powerful and flexible tools for identifying and managing uncertainties. Managing uncertainties involves not only traditional budget, schedule, cost, and worker safety issues, but also other influences that are not easily quantifiable, including regulatory, cultural, social, political, legal, and “quality” issues. Understanding and incorporating changes in social context is critical to the planning and implementation processes of long-term care; the Department of Energy (DOE) must utilize processes that have consistency over time and that involve the public throughout the process. Management in the long term must reflect an understanding of how human systems function and how they couple with technological systems. DOE's relative success with its Uranium Mill Tailings Remedial Action Program exhibits some of these components. Many are now recognizing these components as key needs for any long-term care program for long-lived hazards.