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The purpose of this article is to examine why US companies outsource software development offshore and to present the factors to be considered to determine if the benefits of offshore outsourcing outweigh the drawbacks. Is offshoring worth it in terms of cost savings and quality? What are the risks associated with offshoring software development, and how can you hedge against such risks? What types of software should be considered for offshoring? How can you recognize the danger signs of offshore work going awry? Are there alternatives to outsourcing software development offshore, or are there alternative ways to offshore? Offshore outsourcing of software development may not be worth the risk in all cases. However, in the cases that it is worth moving offshore, this paper makes suggestions about how to help ensure success. This article presents advantages, disadvantages, risks and alternatives to offshore outsourcing of software development. Also, it provides alternatives for offshore outsourcing that will be useful for any company or individual considering offshore outsourcing.

This study aims to compare the impact of Australian onshore and offshore immigration detention centres (IDCs) on detainees’ health and health-care events.

It uses data extracted from the Australian Government’s quarterly health reports from 2014 to 2017. These reports contain a range of data about the health and well-being of detainees, including complaints/presenting symptoms and number of appointments and hospitalisations. To compare onshore and offshore data sets, the authors calculated the rate of health events per quarter against the estimated quarterly onshore and offshore detention population. They ran a series of two-proportion z-tests for each matched quarter to calculate median z- and p-values for all quarters. These were used as an indicator as to whether the observed differences between onshore and offshore events were statistically significant.

The results suggest that adults detained onshore and offshore have substantial health needs, however, almost all rates were far higher in offshore detention, with people more likely to raise a health-related complaint, access health services and be prescribed medications, often at two to three times the rate of those onshore.

This paper adds to a modest body of literature that explains the health of people detained in Australian IDCs. To the best of the authors’ knowledge, this is the first paper to explore health service utilisation and a range of other variables found in the Australian Government’s quarterly health reports. These findings bolster the evidence which suggests that detention, and particularly offshore detention is particularly harmful to health.

This chapter examines why U.S. offshore wind farms do not exist and identifies sites most suitable for development based on European offshore wind farms. A survey of current literature indicates that U.S. development is stalled due to a lack of government and financial support. The literature identifies common attributes associated with the successful deployment of European offshore farms and provides a basis for a multi-criteria decision analysis of potential U.S offshore wind farm sites. A review of European wind farms indicates that a small, 10–50 MW farm located in shallow waters of less than 20 m might be more successful than previous U.S. development efforts. The review also identifies common European attributes deemed critical for success. These attributes are modified, taking into account unique U.S. factors, and a set of nine critical attributes are derived for use in a multi-criteria decision analysis model of suitable U.S. locations. The nine critical attributes (wind quality, water depth, shore distance, state support, public support, industrial support, population density, weather, and energy costs), along with associated utility function values, are applied to 23 past and current proposed U.S. sites. The model identified three sites, in Galveston Island, TX, Port Isabel, TX, and Block Island, RI, as being most favorable for a small wind farm.

For the first time since the “limits to growth” debate of the 1970s, we hear serious talk about the prospect of the world running out of oil. In the United States, concerns about reducing dependence on foreign oil have incited debate over the viability of alternative energy sources versus the oil industry's search for new oil “frontiers.” The rancorous dispute over drilling in the Arctic National Wildlife Refuge (ANWAR) has captured the spotlight in this debate. Less controversial, but more significant for the future of U.S. oil production, are the bountiful “deepwater” reserves of the Gulf of Mexico (GOM). Offshore is central to the history of the petroleum industry over the last 50 years, and the GOM is the most explored, drilled, and developed offshore petroleum province in the world. In recent decades, revenue from offshore leasing has been second only to federal income taxes in value to the U.S. treasury. During the last 30 years, the search for oil and gas has continually moved into deeper waters and into new offshore environments. Still, the GOM remains the primary laboratory for technological innovation and regulatory practices. The recent and spectacular revival in production there thanks to deepwater discoveries has strongly reinforced this demonstration effect. As offshore oil assumes a high profile in national development strategies around the world, any effort to analyze the political, social, and economic aspects of offshore exploration and development must use the GOM as a historical precedent or basis of comparison.

We use experiential learning theory to develop new conceptual insights into offshore outsourcing of innovation. In particular, we show how offshore vendor firms are able to overcome liability of outsidership and eventually learn how to innovate on behalf of their onshore clients as a result of their embedment with clients across multiple teams. We theorize that the cross-border relocation of innovative activities from a client firm to an offshore vendor is only possible when teams within the vendor team have assumed a double-loop learning capability from the client allowing them to determine governing variables relating to the client’s organizational environment. Through direct on-the-job experience working with each other, international teams comprised in part from the vendor and in part from the client can undergo different learning transitions, which we classify as either relationship-oriented or task-oriented. These transitions determine the extent to which double-loop learning can be developed in offshore locations and are influenced by intra-team dynamics and the way the joint teams organize and manage themselves. Our perspective has implications for our understanding of organizational designs associated with both client and vendor multinational enterprises seeking to benefit from innovation in offshore outsourcing.

Despite being the standard against which all other offshore work sites are compared, the male-dominated work culture of the Gulf of Mexico has received little attention from social scientists. Drawing on the literature on women and work in the United States, on women in the U.S. South, in the military, and in the oil field, and on interviews with hundreds of individuals this paper explores the roles of women in the development and maintenance of the offshore oil and gas industry in southern Louisiana.

The purpose of this study is to develop an integrated model for the stochastic multiproject scheduling and material ordering problems, where some of the prominent features of offshore projects and their environmental-degrading effects have been embraced as well. The durations of activities are uncertain in this model. The developed formulation is tri-objective that seeks to minimize the expected time, total cost and CO₂ emission of all projects.

A new version of the multiobjective multiagent optimization (MOMAO) algorithm has been proposed to solve the amalgamated model. To empower the MOMAO, various procedures of this algorithm have been modified based on the multiattribute utility theory (MAUT) technique. Along with the MOMAO, this study has employed four other meta-heuristic methodologies to solve the model as well.

The outputs of the MOMAO have been put to test against four other optimizers in terms of convergence, diversity, uniformity and computation times. The results of the Mean Ideal Distance (MID) metric have revealed that the MOMAO has strongly prevailed its rival optimizers. In terms of diversity of the acquired solutions, the MOMAO has ranked the first among all employed optimizers since this algorithm has offered the best solutions in 56.66 and 63.33% of the test problems regarding the diversification metric and hyper-volume metrics. Regarding the uniformity of results, which is measured through the spacing metric (SP), the MOMAO has presented the best SP values in more than 96% of the test problems. The MOMAO has needed more computation times in comparison to its rivals.

A real case study comprising two concurrent offshore projects has been offered. The proposed formulation and the MOMAO have been implemented for this case study, and their effectiveness has been appraised.

Very few studies have focused on presenting an integrated formulation for the stochastic multiproject scheduling and material ordering problems. The model embraces some of the characteristics of the offshore projects which have not been adequately studied in the literature. Limited capacities of the offshore platforms and cargo vessels have been embedded in the proposed model. The offshore platforms have spatial limitations in storing the required materials. The vessels are also capacitated and they also have limited shipment capacities. Some of the required materials need to be transported from the base to the offshore platform via a fleet of cargo vessels. The workforces and equipment can become idle on the offshore platform due to material shortage. Various offshore-related costs have been integrated as a minimization objective function in the model. The cargo vessels release CO₂ detrimental emissions to the environment which are sought to be minimized in the developed formulation. To the best of the authors' knowledge, the MOMAO has not been sufficiently employed as a solution methodology for the stochastic multiproject scheduling and material ordering problems.

This study aims to develop a model for coordination and communication overhead in distributed software development through case study analysis in the Indian outsourcing software industry. The model is based on business knowledge, which can be classified as domain, regulatory, strategic, business process and operation process knowledge as per existing literature.

Double case study method was used to verify an existing knowledge–management framework of software development from the literature. The stakeholders of both the cases were interviewed, and project documents were verified to reach conclusions.

The findings supported the business knowledge classification from the literature. The concept can be used to analyze the software project in a distributed environment.

The research work findings are based only on two case studies. The study findings cannot be generalized and should be used as a learning tool. There can be large variations of project characteristics with differences in business knowledge requirements. The research shows the importance of business knowledge transfer in global software development.

Projects managers in the distributed software development environment can use the findings in project planning and work allocation for better control over cost and schedule, etc.

There is little research works attempted to study the business knowledge classification in the global software industry making the research novel.

While strategic outsourcing decisions are crafted by senior executives, they are executed by middle managers and staff who may not share the vision or enthusiasm of their senior leadership team. The purpose of this paper is to provide a deep understanding of the effects of outsourcing on one of those stakeholder groups – the client project managers – responsible for the implementation of outsourcing strategies, and to identify practices to better empower and enable them.

Interviews with 67 client project managers in 25 organizations responsible for integrating suppliers into project teams.

Client project managers report 27 effects of outsourcing on their roles, including six positive effects and 21 negative effects.

Senior executives who implemented the following practices had more success with their outsourcing decisions: provide enough resources to implement the sourcing strategy, be willing to change internal work practices, build social capital with key supplier executives and seek independent assessment of sourcing strategy effectiveness.

The paper presents an original framework to categorize the effects of outsourcing on client project managers. The framework addresses six areas of concern: organizational support, project planning, knowledge transfer, process standards, managing work and managing people. The paper identifies four practices senior executives use to align and empower their employees to deliver the expected business benefits from strategic outsourcing decisions.

The purpose of the paper is to find out the knowledge requirements and its effect on both onsite and offshore project work division for development, re-engineering and maintenance projects in Indian outsourcing software industry in different phases of software development.

This study employs an expert interview approach in Indian software industry to find out knowledge requirement for project execution and division of work between onsite and offshore locations. The requisite data were collected through expert interviews and direct observations.

The study found that the development projects require higher level of domain, strategic, business process and operation process knowledge in comparison to re-engineering and maintenance projects. So there is a need of higher onsite presence in development projects. The maintenance work is taken up at the offshore location in a phase-wise manner.

The implication of the study is in the development of a broad framework of knowledge requirements and work division in on-shore and offshore locations for Indian software outsourcing projects. As the study is based on expert opinion in the context of India, it cannot be generalized for outsourcing scenarios elsewhere.

The software project manager can use the findings to get more insight into the project and divide the software team between onsite and offshore location.

The study is novel, as there is little attempt at finding the knowledge requirement to execute various kinds of business software development in outsourcing environment in the context of India.