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Healthcare innovations for bottom-of-pyramid populations face considerable risks and few economic incentives. Can entrepreneurial innovators provide new solutions for global health? This chapter examines how a technology enterprise built a collaborative network and supportive ecosystem making it possible to steer an innovation for TB patients through discovery, development, and delivery. Ecosystem resources were mobilized and upstream and downstream co-innovation risks were mitigated to commercialize a new diagnostic test. Detailed evidence on this innovation for TB care uses ecosystem analysis to clarify core issues in the context of joint value creation. The case study shows how resources from private and public partners can be leveraged and combined by the focal firm to build joint value and to lower execution, co-innovation, and adoption risks in healthcare ecosystems combating diseases of poverty.

The purpose of this paper is to present a framework for helping inventors and start‐ups identify and acquire the technical, market, financial, and human resources they need if they are to create and grow new ventures that can realise market opportunities.

The method for this paper is a case study of a non‐profit company and four of its business clients.

The paper finds that a resource assessment framework has proven effective for assisting early stage ventures when it is combined with helping them to identify business opportunities and to improve their resource position in order to exploit these opportunities.

This research contributes to theory and practice by highlighting the value of creative coupling of resources and opportunities for entrepreneurs and by demonstrating a novel and effective framework customized for the needs of new emerging technology ventures.

The buyers' perspective of mergers and acquisitions (M&A) has been heavily researched, yet it has produced surprisingly few prescriptive findings. Given the limited amount of prior research from the sellers' perspective, inductive methods appear to be the most appropriate to research this phenomenon (Eisenhardt, 1989; Yin, 2003; Miles & Huberman, 1994). Using the model outlined by Carlile and Christensen (2005), the overall goal of the project reported here is to build a theoretical framework based on empirical observations. This will eventually facilitate the examination of this phenomenon and enhance knowledge as well as theory building for further research.

Family status is often regarded as an important factor determining female labor force participation as well as outcomes of that participation such as wages and occupational standing. Indeed, employment status can be expected to have implications for the work patterns of both men and women, through timing or scheduling conflicts, and other constraints related to the roles of parent and spouse. In this article the relationship between underemployment and family status is examined in a multivariate framework. Underemployment is measured here as a combination of unemployment, involuntary part‐time work, overeducation, and low wages, using data from the 1972 and 1982 March Current Population Survey. The findings suggest that family status is important for both men and women, although the most salient role for men is that of spouse, while for women the parental role has the strongest effect. Both men and women experience negative work outcomes related to single parenthood.

The UK's Department of Employment latest Research Paper (No. 43) is entitled “Part‐time employment and sex discrimination legislation in Great Britain” and is written by Olive Robinson and John Wallace.

The purpose of this paper is to examine the relationship among firm characteristics, innovation, financial resilience and survival of financial institutions in Uganda.

This paper employs a cross-sectional research design, and responses from 143 officers of 40 financial institutions are analyzed using Statistical Package for the Social Sciences. The authors used ordinary least squares regression in testing the hypotheses.

The authors find that firm characteristics of size, age, innovation and financial resilience have a predictive force on survival of public interest firms such as financial institutions.

The implication drawn here is that a combination of firm characteristics, firm innovation and financial resilience explains a significant contribution in the survival chances of financial institutions. However, as much as firm characteristics and financial resilience are significant, innovation explains more of the variances in financial institutions’ going concern appropriateness.

This paper adds to the limited financial institutions literature and provides the first empirical evidence of the efficacy of innovation and financial resilience on financial institutions survival. The auditing profession could consider more seriously the innovation activities and financial resilience of financial institutions in their test for the going concern assumption of such firms.

In today’s marketplace, accountants must understand and master Big Data and data analytics, and many educators have devised approaches to help students acquire these critical skills. At our university, we have worked closely with our accounting advisory council to develop an adaptable classroom case where students not only gain a broad understanding of what data analytics means to the profession but also what specific tools are available to analyze an accounting-centered problem – cash collections. Using patterns and behaviors discovered in their data analyses, students develop collection procedures and controls for a case firm. Such a project begins to fulfill the profession’s initiative that accountants must exploit Big Data and data analytics for organizational growth and opportunity.