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The robust appraisal of exploration drilling concepts is essential for establishing the economic viability of a prospective recovery field. This study evaluates the different concept selection methods that were considered for drilling operations at the Trym field in Norway. The construction of drilling rigs is a capital-intensive process, and it involves high levels of economic risk. These risks can be broadly categorised as aleatoric (i.e. those related to chance) and epistemic (i.e. those related to knowledge). Evaluating risks in the investment appraisal process tends to be a complicated process. Project risks are evaluated using Monte Carlo simulation (MCS) and are based on the fuzzy analytic hierarchy process (AHP). MCS provides a useful means of evaluating variabilities (i.e. aleatoric risks) in oil drilling operations. However, many of the economic risks in oil drilling processes are unanticipated, and, in some cases, are not readily expressible in quantitative values. The fuzzy AHP is therefore used to appraise the qualitatively defined indirect revenues comprising risks that affect future flexibilities, schedule certainty and health and safety performance. Both the Monte Carlo technique and the fuzzy AHP technique found that a cumulative revenue variation of up to 30% is possible in any of the considered drilling options. The fuzzy AHP technique estimates that the chances of profitability being less than NOK 1 billion over a five-year period is 0.5%, while the Monte Carlo technique estimates suggest a more conservative proportion of 10%. Overall, the fuzzy AHP technique is easy to use and flexible, and it demonstrates increased robustness and improved predictability.

This is a case study on the opportunities provided by Open Source library systems and the experience of delivering these systems through a shared service.

This chapter derives from desk research, interviews, and direct involvement in the project. The format is a case study, setting out a detailed timeline of events with information that can be applied in other settings.

This chapter presents reflections on the value and limitations of collaboration amongst libraries and librarians on an innovative approach to library systems and technologies. It also presents reflections on lessons learned from the processes and detailed discussion of the success factors for shared services and the reasons why such initiatives may not result in the outcomes predicted at the start.

Libraries and IT services considering Open Source and shared service approaches to provision will find material in this study useful when planning their projects.

The nature of collaboration and collaborative working is studied and observations made about the way that outcomes cannot always be predicted or controlled. In a genuine collaboration, the outcome is determined by the interactions between the partners and is unique to the specifics of that collaboration.

The case study derives from interviews, written material and direct observation not generally in the public domain, providing a strong insider’s view of the activity.

This chapter discusses how the real options theory can be useful for understanding the adoption of human resources management (HRM) practices. The authors review how the real options theory has provided insights into the processes through which firms manage uncertainties involved in the adoption of HRM practices. The authors offer propositions for future HRM research from the real options perspective. The authors contend that analyzing HRM practice adoptions through the lens of real options theory can enhance our understanding of the mechanisms through which firms choose which HRM practices to adopt and how they adjust the timing, scale, and methods of investment in these practices. Specifically, the authors suggest that differences in information relevant to valuation of HRM options are the source of distinct choices of HRM options across firms. Finally, the authors propose advancing knowledge on HRM practice adoptions by using a portfolio of options approach, as well as considering factors like competitors, path dependence, and switching options.

This chapter focuses upon operators' automation usage decisions (AUDs), choices in which people have the option of relying on automation or employing a manual or less technologically advanced means of control. Misuse, the over-utilization of automation, and disuse, the under-utilization of automation, result from inappropriate AUDs. Three causes of misuse and disuse were identified. Operators may: (1) not recognize that both automated and manual alternatives are available (recognition errors), (2) inaccurately estimate the utilities of the automated and/or manual options (appraisal errors), or (3) knowingly select the alternative with the lowest expected outcome (action errors). A decision-making model was used to organize the literature, identify new areas of inquiry, and examine the effects of a number of variables known to affect AUDs. These included machine reliability and consistency, performance feedback, trust in automation, self-confidence in manual control, perceived utility, and the automation bias.

Strategic Alliances (SAs) have become widely used by global businesses for pursuing strategic goals.¹ Because of the special nuances that can make these kinds of joint ventures (JVs) effective means for achieving challenging strategic goals, they are generally more difficult to establish and manage. Some of the larger, more successful users of SAs recognize the special nature of these relationships and some such as Cisco and Pfizer have even created high-level divisions or departments in their organization explicitly focused on planning, pursuing, and managing outside strategic partnerships. These units not only monitor the alliances (in some cases, dozens at a time) but also develop tools and insights that will allow the organization to engage in SA more successfully.

Consumer-Directed Health Plans (CDHPs) are proposed as an option to control healthcare costs. No research has addressed their applicability in rural settings. This study analyzes three years (2003–2005) of healthcare expenditure and utilization incurred by two employers and a national carrier providing data from a rural state, Kentucky. The study included two measures of expenditures (health care and prescription drugs) and three measures of utilization (physician visits, hospital admissions, and hospital inpatient days). In general, the CDHP successfully controlled the growth of medical costs. These findings suggest that CDHPs may be a viable alternative benefit structure for rural employers.

In Louisiana's coastal communities with traditions of heavy dependence on the oil industry, cycles of industrial uncertainty have become routine, eliciting a set of coping responses from local government and community institutions. However, recent industrial restructuring within the context of globalization, accompanied by shifts in the climate of federal and state policy, have significantly disrupted traditional support mechanisms and threatened their survival. This article explores the realities that two South Louisiana communities impacted by the offshore oil industry face at the close of the 20th century, with a focus on health service institutions. It also explores community efforts in managing local housing and workforce preparation issues.

The paper focuses on the question of the extent to which individual preference-based values are suitable in guiding environmental policy and damage assessment decisions. Three criteria for “suitableness” are reviewed: conceptual, moral and legal. Their discussion suggests that: (i) the concept of economic value as applied to environmental resources is a meaningful concept based on the notion of trade-off; (ii) the limitations of the moral foundations of cost-benefit analysis do not invalidate its use as a procedure for guiding environmental decision making; (iii) the input of individual preferences into damage assessment is compatible with the basic foundations of tort law; (iv) using individual preference-based methods provides incentives for efficient levels of due care; (v) determining standing is still very contentious for various categories of users as well as for aggregating non-use values. Overall, the discussion suggests that the use of preference-based approaches in both the policy and legal arenas is warranted provided that they are accurately applied, their limitations are openly acknowledged and they assume an information-providing rather than a determinative role.