On the System Setup and the Scheduling Problem in a Flexible Manufacturing System (FMS)

In this paper we present a model which unifies several existing models with respect to two phases of the planning process of a Flexible Manufacturing System. These phases are the system setup phase and the scheduling phase and in literature they usually are considered separately. We give a mathematical formulation encompassing both phases. From this formulation several existing approaches can be deduced. We also describe some heuristic methods for our model and present the computational results.     

DOMESTIC AND INTERNATIONAL INNOVATION PARTNERSHIPS: DO THEY MATTER FOR INNOVATION OUTCOMES OF SOUTH AFRICAN FIRMS?

This paper studies the impact of the diversity of domestic and international innovation partnerships on the innovation outcomes of South African firms. A number of competing hypotheses are formulated and tested empirically using a sample of South African firms in manufacturing and services by applying Ordinary Least Squares regression analyses. Results show that having an innovation partnership, particularly an international partnership, is beneficial to innovation outcomes. However, it also emerges that too diverse a set of international partnerships is detrimental to innovation outcomes. The paper concludes with a discussion and a number of proposals for future research.     

Sectoral Patterns of Interactive Learning: An Empirical Exploration of a Case in a Dutch Region

This paper pursues the development of a theoretical framework that explains interactive learning between innovator firms and external actors in both the knowledge infrastructure and the production chain. The research question is: What kinds of factors explain the interactive learning of innovator firms with distinct external actors? Our theoretical framework extends the resource-based perspective, which is predominant in network theory, with both an activity-based and a structural account of interactive learning. We contend basically that higher technological dynamics induce more complex innovative activities. But, more complex innovative activities increase the probability of internal resource deficits/shortages in the innovator firms. The lower the alignment of the innovative activities with the quality of the internal resource base, the higher the resource deficits/shortages and the more likely the search for complementary resources externally, which increases the likeliness of external relationships. In order to test the generality of our theoretical claims we analyse our models in four sectors with distinct technological dynamics as distinguished by Pavitt. For each sector we explore five models of the level of interactive learning of innovator firms with: (1) the public knowledge infrastructure (difficult to access, demands high internal competencies to utilize scientific knowledge), (2) the production chain (easy to access), (3) their users, (4) their suppliers, (5) their competitors. These analyses allow for a comparison between interactive learning with different external actors and give deeper insights into the differentiated interaction patterns involving innovation. Our findings show that patterns of interactive learning between sectors differ. Some are more resource based and others are more affected by the complexity of innovative activities. Particularly the patterns of interactive learning between, on the one hand, firms and the knowledge infrastructure, and on the other hand of firms with the production chain show important differences.     

Do We Follow the Leader or the Masses? Antecedents of the Willingness to Pay Extra for Eco‐Products

This paper reports on an experiment that tests for the existence of peer effects in consumers' willingness to pay (WTP) for sustainable products. More specifically, we investigate whether the premium for an eco‐labeled laundry detergent is sensitive to receiving information about the premium paid by other members of one's social group. The information manipulations in the experiment test for two distinct types of social influence, i.e., conformist and payoff‐biased transmission. We find strong empirical evidence for a conformist transmission. Participants informed about the positive premium paid by the majority of their peers reported a higher premium than individuals not receiving any information. This result shows that previous studies on the WTP for sustainable products, which explain premiums by attitudinal measures and sociodemographic traits, unwarrantedly provide an under‐socialized account. The inclusion of social influence variables significantly increases the explanatory power of the model.     

Alliance portfolio diversity,radical and incremental innovation: The moderating role of technology management

In this paper we test whether the use of a set of technology management tools (TM-tools), a specification of alliance portfolio capability, influences the relationship between alliance portfolio diversity and a firm's innovation outcomes. With this model, we add to the theoretical literature on the performance effects of alliance portfolio diversity and specific contingencies allowing to appropriate benefits from this diversity. Based on a sample of South African firms, we first confirm the inverted U-shaped relation between alliance portfolio diversity and a firm's innovation outcomes found by earlier research. We also show that the shape of this inverted-U differs for incremental and radical innovation outcomes. Subsequently, we test the moderating effect of the use of TM-tools on this relationship, for which find a strong positive moderating effect. In particular, for firms intensively using TM-tools, the negative effect of high levels of alliance portfolio diversity on innovation outcomes turns into a positive effect. This suggests that the use of formal technology management practices is beneficial to manage highly diverse alliance portfolios.     

Sectoral Patterns of Interactive Learning: An Empirical Exploration of a Case in a Dutch Region

This paper pursues the development of a theoretical framework that explains interactive learning between innovator firms and external actors in both the knowledge infrastructure and the production chain. The research question is: What kinds of factors explain the interactive learning of innovator firms with distinct external actors? Our theoretical framework extends the resource-based perspective, which is predominant in network theory, with both an activity-based and a structural account of interactive learning. We contend basically that higher technological dynamics induce more complex innovative activities. But, more complex innovative activities increase the probability of internal resource deficits/shortages in the innovator firms. The lower the alignment of the innovative activities with the quality of the internal resource base, the higher the resource deficits/shortages and the more likely the search for complementary resources externally, which increases the likeliness of external relationships. In order to test the generality of our theoretical claims we analyse our models in four sectors with distinct technological dynamics as distinguished by Pavitt. For each sector we explore five models of the level of interactive learning of innovator firms with: (1) the public knowledge infrastructure (difficult to access, demands high internal competencies to utilize scientific knowledge), (2) the production chain (easy to access), (3) their users, (4) their suppliers, (5) their competitors. These analyses allow for a comparison between interactive learning with different external actors and give deeper insights into the differentiated interaction patterns involving innovation. Our findings show that patterns of interactive learning between sectors differ. Some are more resource based and others are more affected by the complexity of innovative activities. Particularly the patterns of interactive learning between, on the one hand, firms and the knowledge infrastructure, and on the other hand of firms with the production chain show important differences.     

Social influence on sustainable consumption: evidence from a behavioural experiment

Although social influence on consumers’ behaviour has been recognized and documented, the vast majority of empirical consumer studies about sustainable products considers mainly, if not only, individual characteristics (socio‐demographic attributes, individual environmental attitudes, etc.), to explain the decision to buy sustainable products. Making use of experimental methods, this paper studies the social influence that peer groups like colleagues, family and friends may exert in the decision to choose for environmentally friendly products rather than conventional ones. We also test for different types of social influence, in particular for ‘herd behaviour’ vs. ‘social learning’. In our experimental setting, the relevance of peer effects is corroborated. We find clear evidence for ‘herd behaviour’ and the data indirectly support the presence of ‘social learning’ effects. The results also suggest heterogeneous impact of specific social groups.     

R&D Cooperation in a Transaction Cost Perspective

This paper investigates R&Dcooperation between buyers and suppliers, drawing bothon transaction cost theory and resource-based theoryof the firm. Results of logistic regression analyses,using a unique firm-level database containing 689manufacturing firms located in a Dutch region, supportassumptions of transaction cost theory. Frequentknowledge transfer and moderate and high levels ofasset specificity increase probabilities of R&Dcooperation. In particular, Williamson's assumptionsconcerning the moderating influences of uncertainty onbilateral governance are confirmed. Extending theoriginal transaction cost model with indicatorsderived from resource based theory of the firmincreases the performance of the model.