Perceived Influence and Friendship as Antecedents of Cooperation in Top Management Teams: A Network Approach

Using the relational dyad as unit of analysis this study examines the effects of perceived influence and friendship ties on the formation and maintenance of cooperative relationships between corporate top executives. Specifically, it is argued that perceived influence as well as friendship ties between any two managers will enhance the likelihood that these managers collaborate with each other. Additionally, a negative interaction effect between perceived influence and friendship on cooperation is proposed. The empirical analyses draw on network data that have been collected among all members of the top two organizational levels for the strategy-making process in two multinational firms headquartered in Germany. Applying logistic regression based on QAP the empirical results support our hypotheses on the direct effects between perceived influence, friendship ties, and cooperative relationships in both companies. In addition, we find at least partial support for our assumption that perceived influence and friendship interact negatively with respect to their effect on cooperation. Seemingly, perceived influence is partially substituted by managerial friendship ties.

Approaching Migrant Youth Marginalization through the Capabilities Approach: Methodological Proposals

Adopting the capabilities approach and the terminology that has been respectively developed, we could assume that Amartya Sen’s “capabilities” consist in the actual living that people manage to achieve (“functionings”) as a result of actual free will. Sen’s freedom does not “only [depend on the] mere degree of the presence or absence of coercion or interference (from others)” (Otto and Ziegler 2006) but also on “the range of options a person has in deciding what kind of life to lead” (Dreze and Sen 1995, 10). In his book, Identity and Violence, Sen, without explicitly connecting the capabilities approach with his views on “genuine multiculturalis” (Sen 2007), in fact, introduces this extended conception of freedom in the way we examine identity matters. Since freedom becomes perceptible as the range of options a person has, concerning the kind of life he wishes to live, cultural freedom can be defined through the concept of the multiplicity of belonging. In other words, cultural freedom constitutes itself a capability, which is realized when nothing and no one, not even myself, can tie me down to a kind of cultural rigidity that tends to exclude and marginalize me. This latent connection of “capabilities” with “multiple identities” (Sen 2007) challenges us to search for the contribution Sen’s approach could have in the understanding and confrontation of issues concerning migrants, away from theoretical patterns that overemphasize the cultural otherness as an impediment to inclusion. Besides, Sen himself, without of course focusing exclusively on migrants, has already approached the matter of social exclusion with terms of his capabilities approach (Sen 2000).

Fuzzy Multi-Objective Linear Programming and Simulation Approach to the Development of Valid and Realistic Master Production Schedule

Master production schedule (MPS) plays an important role in an integrated production planning system. It converts the strategic planning defined in a production plan into the tactical operation execution. The MPS is also known as a tool for top management to control over manufacture resources and becomes input of the downstream planning levels such as material requirement planning (MRP) and capacity requirement planning (CRP). Hence, inappropriate decision on the MPS development may lead to infeasible execution, which ultimately causes poor delivery performance. One must ensure that the proposed MPS is valid and realistic for implementation before it is released to real manufacturing system. In practice, where production environment is stochastic in nature, the development of MPS is no longer simple task. The varying processing time, random event such as machine failure is just some of the underlying causes of uncertainty that may be hardly addressed at planning stage so that in the end the valid and realistic MPS is tough to be realized. The MPS creation problem becomes even more sophisticated as decision makers try to consider multi-objectives; minimizing inventory, maximizing customer satisfaction, and maximizing resource utilization. This study attempts to propose a methodology for MPS creation which is able to deal with those obstacles. This approach takes into account uncertainty and makes trade off among conflicting multi-objectives at the same time. It incorporates fuzzy multi-objective linear programming (FMOLP) and discrete event simulation (DES) for MPS development.