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The purpose of this paper is to explore the extent to which hope and perceived goal attainment can be developed in subsistence entrepreneurs through the right training tools.

A longitudinal study of a subsistence entrepreneurship training program in three Central American countries was carried out. Participants were divided on the basis of their exposure to training (yes, no), and of the type of training received (none, business plan, business model). The authors carried out three assessments (just before the program, six months and one year after the program) of participants’ business goals and their hope of attaining them. Information was analyzed using linear regression.

Participants exposed to training reported significant increases in perceived goal attainment and in their hope levels. Training based on the business plan affected hope agency in the short term, as predicted by the logic of causation theory. Training based on the business canvas affected hope pathways, as predicted by the logic of effectuation theory.

Given the data collection process (a non-random sample and selection of participants), the findings are not generalizable without stringent procedures and further replication.

If hope is a reliable predictor of goal attainment, it should be promoted and measured. Given the limited means of gathering data and making reliable projections that most entrepreneurs endure, the business canvas’ contribution to entrepreneurs’ “emotional equipment” ceteris paribus should be more valuable for subsistence entrepreneurs.

This is the first study comparing the short- and long-term effects of two entrepreneurial learning devices on entrepreneurs’ hope and business goal attainment.

Men are often considered by the health care system to be a disengaged accessory when it comes to family planning. In reality they act as an equal part in the reproductive equation. Despite qualitative research suggesting some men currently do take primary responsibility for family planning, men are further marginalised being classed as an irrational variable in large national datasets. Reports ignore men in general by failing to record basic demographics, for example, age is not captured and ethnicity has two options: white and non-white. This leaves little ability to analyse men's family planning knowledge, attitudes and beliefs. Technological advancements have resulted in new forms of male contraceptive methods reaching phase III testing (from pills to gels), and the market is moving towards diversified options that will allow even more men to take primary contraceptive responsibility. Other advancements include the sexual enhancement product Viagra becoming available over the counter, and reproductive wellbeing apps have been created to allow men to test their fertility at home. Without research to understand the ever-changing landscape for men we are ill-prepared to understand what these new products and advancements mean for men's role. Using various forms of publicly available online data and previous empirical research, this chapter will review men's response to new contraceptives, sexual enhancement products, and reproductive wellbeing apps. The results will be discussed in relation to updating the Subjective Expected Utility (SEU) Theory, the Theory of Planned Behaviour and the integrated developmental and decision-making contraceptive models used by health psychologists.

To draw attention to a particular outsourcing risk that has not yet been adequately addressed in the literature, namely information leakage arising from acts of accidental disclosure or even purposeful betrayal by consultants that work for several client firms at the same time.

A review of the literature.

It illustrates how specialist IT service providers are playing pivotal roles in determining the extent to which unique firm specific skills and core competencies are being transferred to the wider industry context (via leakage) and becoming standard practices. It is shown that consultants face a dilemma as they are expected to spread cutting edge level expertise to their respective client firms, yet at the same time honour confidentiality commitments.

Conceptual rather than empirical.

A management tool is developed for managers to aid decision making.

A critique of the outsourcing literature and a warning to managers to be aware of the risk of information leakage.

Ground Penetrating Radar is a multidisciplinary Nondestructive Evaluation technique that requires knowledge of electromagnetic wave propagation, material properties and antenna theory. Under some circumstances this tool may require auxiliary algorithms to improve the interpretation of the collected data. Detection, location and definition of target’s geometrical and physical properties with a low false alarm rate are the objectives of these signal post-processing methods. Basic approaches are focused in the first two objectives while more robust and complex techniques deal with all objectives at once. This work reviews the use of Artificial Neural Networks and Machine Learning for data interpretation of Ground Penetrating Radar surveys. We show that these computational techniques have progressed GPR forward from locating and testing to imaging and diagnosis approaches.