Sources, uses, and forms of data in the new product development process

This paper presents qualitative and exploratory research investigating the role that managing knowledge and information plays in new product development (NPD). A set of 20 in-depth interviews uncovered eight basic types of information used throughout the NPD process and three general approaches to managing information needed in the NPD process. Although some exemplary companies seem to do an outstanding job of collecting and disseminating information, the majority of firms struggle. NPD process automation solutions tackle part of the problem, ignoring nonquantitative data forms and the full picture of information use throughout the entire development process.     

The “Iron Law of Paternalism” in Employee Grievances and Arbitration? A Comparison of Disciplinary and Nondisciplinary Cases

In the criminology literature, the iron law of paternalism suggests that women receive less serious sanctions in the judicial system. This examination of three years of grievance outcomes (n= 1216) and arbitration outcomes (n= 1146) tests this iron law in the context of organizational disciplinary and dispute resolutions. These data, across several levels of outcomes (win, lose, compromise), controlling for the severity of grievances (disciplinary/nondisciplinary) and arbitrations (termination/nontermination) provide no support for the paternalistic thesis. Moreover, we find no support for the paternalistic thesis with regard to either the incidence or length of suspensions as a function of gender.     

Public–private partnerships in Social Impact Bonds: facilitating competition or hindering transparency?

ABSTRACT

The use of Social Impact Bonds (SIBs), which introduces the potential for investor profit in public service provision, has been widely discussed. Some argue that SIBs might promote government transparency because outcome data collection and evaluation are part of contractual terms. On the other hand, some argue that SIBs might hinder government transparency because more contractual parties might lead to more uncertain data ownership and because the profit motive transforms information into a competitive advantage. This paper looks at SIBs in five countries, examining how transparency differed between SIB and non-SIB financed programmes at the same social service provider. On the positive side, SIBs led to more and longer collection of outcome data and the publication of evaluations. On the negative side, it was found that SIBs tend to generate significant obstacles to the release of data to academic researchers and that sponsored evaluations do not measure impacts.     

The impact of consumer health information on the demand for health services

This paper empirically examines whether consumers use health information, from non-physician information sources, as a substitute or complement for health services – namely for physician visits and emergency room (ER) visits. An indicator of patient trust in physicians is developed and used as a proxy for potential unobserved heterogeneity that may drive both consumers’ propensity to seek information and to use physician services. The results, after correcting for sample selection bias and controlling for unobserved heterogeneity, concur with the literature, that consumer health information increases the likelihood of visiting a physician as well as the frequency of visits on average. However, low-trust consumers tend to substitute self-care through consumer health information for physician services. Further, better-informed consumers make significantly fewer ER visits suggesting that information may be improving efficiency in the market.     

Charitable Donations: Evidence of Demand for Environmental Protection?

Using data from the 2001 Giving and Volunteering in the United States survey, I examine household charitable donations to environmental organizations. Household income has a positive impact on environmental giving. While the tax price affects overall charitable contributions, it does not affect environmental giving. More education, being female, homeownership, and voting are also associated with a greater likelihood of contributing to the environment. African-Americans and Latinos are less likely to contribute to the environment, although conditional on giving, Latinos give more. Retired persons and households with children are less likely to contribute to the environment. Larger households give less to the environment. Households from the Northeast are the most likely to make environmental contributions while households from the South are the least likely.

Supply Chain Management Competency and Firm Financial Success

Supply chain management (SCM) plays a major role in creating (or destroying) shareholder value by influencing the three major drivers of firm financial performance: revenue, operating costs, and working capital. Yet, the relationship between SCM competency and firm financial performance is not well‐established. Drawing on the resource‐based view of the firm, this study assesses this relationship using Delphi‐style opinion data from AMR Research’s Supply Chain Top 25 rankings to assess SCM competency and Altman’s (1968) Z‐score statistic as the measure of financial success. The study findings show that firms recognized by industry experts for SCM competency have significantly higher Z‐scores than their close competitors and industry averages.     

Fair welfare maximization

We consider the general problem of finding fair constrained resource allocations. As a criterion for fairness we propose an inequality index, termed “fairness ratio,” the maximization of which produces Lorenz-undominated, Pareto-optimal allocations. The fairness ratio does not depend on the choice of any particular social welfare function, and hence it can be used for an a priori evaluation of any given feasible resource allocation. The fairness ratio for an allocation provides a bound on the discrepancy between this allocation and any other feasible allocation with respect to a large class of social welfare functions. We provide a simple representation of the fairness ratio as well as a general method that can be used to directly determine optimal fair allocations. For general convex environments, we provide a fundamental lower bound for the optimal fairness ratio and show that as the population size increases, the optimal fairness ratio decreases at most logarithmically in what we call the “inhomogeneity” of the problem. Our method yields a unique and “balanced” fair optimum for an important class of problems with linear budget constraints.