Leveraging open innovation to improve society: past achievements and future trajectories

Open innovation (OI) is an approach which describes a purposive attempt to draw together knowledge from different contributors to develop and exploit innovation. It has become clear that OI directly benefits organisations' economic performance and resilience, but researchers, practitioners, and policy makers became also convinced that OI might be the way forward to tackle the world’s most pressing societal challenges, representing unresolved Grand Challenges, which can only be weathered by diverse sets of collaborative partners that join forces. Although anecdotal evidence points at how OI practices can be employed to achieve societal impact not only in private firms but also in public organisations, very little understanding exists ‐beyond anecdotal‐ to link OI to societal impact. This special issue has the ambition to start the discussion and establish a framework as the stepping stone to tackle this complex research gap.     

The endoscopy scheduling problem: A case study with two specialised operating rooms

This research aims to build a feasible and efficient operating program for an endoscopy centre composed of two specialised operating rooms for one week, with the objective of both maximising the utilisation of the operating room and minimising the cost of overtime. First, a tactical planning model was built and solved by a column-generation-based heuristic (CGBH) procedure. Then, a daily scheduling problem is solved by the Gonzalez-Sahni algorithm in order to schedule the surgical cases assigned at the planning stage. Experimental data are randomly generated according to parameters derived from the Croix–Rousse tertiary hospital centre in Lyon, France.     

Science-to-Business collaborations: A science-to-business marketing perspective on scientific knowledge commercialization

Exchange between science and industry is a prerequisite for innovation (Kaufmann & Tödtling, 2001; Pittaway, Robertson, Munir, Denyer & Neely, 2004) and has attracted considerable interest to the role of relationships and interactions in the process of bringing ideas to the market and commercializing knowledge ( and ; Story, Hart & O'Malley, 2009). Despite enormous government financing, artificially supporting the development of such collaborative partnerships has proved difficult. This study extends industrial marketing's B-2-B model by looking at public sector participants in collaborations in order to examine the process of establishing scientific–knowledge–commercialization collaborations. It is based on 82 interviews in 17 collaborative-research projects in both Ireland and Germany. The findings suggest that retention is a catalyst for improving established collaborations to facilitate the commercialization of scientific knowledge through repeated projects. Retention results from loyal collaborators. Collaborators become loyal and committed because they are content with the overall relationship, commercialization service and quality. It is fundamental that all collaborators understand each other's roles and motive as incongruities hamper the development of productive collaborations. In addition, universities need to develop a greater appreciation of the role of satisfaction. Overall, the study shows the importance of repeat collaborations and the development of mutual benefits which facilitate scientific knowledge commercialization. The study also demonstrates how contextual differences impact on scientific knowledge commercialization in both Ireland and Germany.     

Regulating a reluctant profession: Holding solicitors to account

Solicitors are often placed in a position of trust where they hold money on behalf of their clients. Instances of the misuse of clients’ money have been a recurring feature in the history of the legal profession in England and Wales. Yet the legal establishment was slow to impose the same standards of accountability on its members which had long been expected of other members of society and continued to prevaricate many years after the need for financial regulations had been demonstrated through a series of scandals. This paper provides a detailed review of the evolution of basic accounting regulations governing the legal profession.     

The Impact of the Secondary Market on Life Insurers' Surrender Profits

Life insurers often claim that the life settlement industry reduces their surrender profits and leads to an adverse shift in their portfolio of insured risks; that is, high risks remain in the portfolio instead of surrendering. In this article, we aim to quantify the effect of altered surrender behavior––subject to the health status of an insured––in a portfolio of life insurance contracts on the surrender profits of primary insurers. Our model includes mortality heterogeneity by applying a stochastic frailty factor to a mortality table. We additionally analyze the impact of the premium payment method by comparing results for annual and single premium payments.     

MANAGEMENT CONTROL SYSTEMS IN FAMILY FIRMS: A REVIEW OF THE LITERATURE AND DIRECTIONS FOR THE FUTURE

Family firms play a significant role in the global economy. Although family firm literature has devoted much time and effort to investigating topics concerning corporate governance, leadership, ownership and succession, accounting issues have received relatively scant attention. In this paper, we assemble and critically review extant literature on the choice of management controls. This is an essential topic for firms as management control systems (MCS) are used to make sure subordinates behave in function of the goals of the firm. Family firms, however, have distinct features, such as differences in governance structures and goals, which can have a significant impact on whether and how MCS are used. We conclude this review paper by providing avenues for future research that can advance our understanding of both the determinants and the outcomes of the choice of MCS.     

Response measurement and optimization of direct mailings

Beginning with 1995, we discuss different studies that deal with response measurement and optimization of direct mailings. Most of these studies analyze data sets from mail order companies or charities. We classify various dependent and predictor variables and??w.r.t. the latter distinguish static and dynamic effects. Response models are divided into parametric and flexible models. Besides, we analyze important modeling aspects, i.e., latent heterogeneity and endogeneity. Optimization methods are presented according to whether they refer to static or dynamic objectives. Based on these modeling aspects we evaluate the different studies. Considering various studies of model evaluation it becomes evident that logit models frequently constitute a good choice. However, Bayesian neural nets and Tobit models turn out to be good alternatives. As predictor effects are concerned results vary. Authors do not completely agree on which variables are the most important. Furthermore, signs and significances of predictors vary across studies. The majority of studies neglect latent heterogeneity and endogeneity. Finally, results show that there are still plenty of interesting research possibilities, such as a comprehensive evaluation of models or new specifications of (mailing) variables.     

Agglomeration and social return to R&D: Evidence from French plant productivity changes

This paper investigates the effect of inter-firm and intra-firm spillovers on the productivity of firms, using French data. The Luenberger Productivity Indicator (LPI) is used to estimate the productivity and to break it down into several components (e.g. efficiency, biased technical progress, scales effects, etc.). Using this approach, negative productivity changes are found due to the unfavourable economic situation over 2000-2002. Diverse forms of intra- and inter-firm externalities are then investigated through a Maximum Likelihood Random Effect (MLRE) model. Spillover effects due to spatial agglomeration - influencing Total Factor Productivity (TFP) and its correspondent components, technological and efficiency changes, are found.     

On risk charges and shadow account options in pension funds

This paper studies the economic implications of regulatory systems which allow equityholders of pension companies to not only charge a specific premium to compensate them for their higher risk (compared to policyholders), but also to accumulate these risk charges in a so-called shadow account in years when they are not immediately payable due to e.g. poor investment results. When surpluses are subsequently reestablished, clearance of the shadow account balance takes priority over bonus/participation transfers to policyholders. We see such a regulatory accounting rule as a valuable option to equityholders and our paper develops a model in which the influence of risk charges and shadow account options on stakeholders’ value can be quantified and studied. Our numerical results show that the value of shadow account options can be significant and thus come at the risk of expropriating policyholder wealth. However, our analysis also shows that this risk can be remedied if proper attention is given to the specific contract design and to the fixing of fair contract parameters at the outset.