A dynamic programming approach of finding an optimal broadcast schedule in minimizing total flow time

We study the problem of (off-line) broadcast scheduling in minimizing total flow time and propose a dynamic programming approach to compute an optimal broadcast schedule. Suppose the broadcast server has k pages and the last page request arrives at time n. The optimal schedule can be computed in O(k³(n+k)^k−1) time for the case that the server has a single broadcast channel. For m channels case, i.e., the server can broadcast m different pages at a time where m < k, the optimal schedule can be computed in O(n^k−m) time when k and m are constants. Note that this broadcast scheduling problem is NP-hard when k is a variable and will take O(n^k−m+1) time when k is fixed and m ≥ 1 with the straightforward implementation of the dynamic programming approach. The preliminary version of this paper appeared in Proceedings of the 11th Annual International Computing and Combinatorics Conference as “Off-line Algorithms for Minimizing the Total Flow Time in Broadcast Scheduling”.     

Informational impediments to the use of capital budgeting models

The primary purpose of this study was to empirically examine whether or not informational impediments impair or alter decision making, with specific focus on capital budgeting decisions. Based on detailed interviews of senior corporate executives, it appears that management information systems (MIS) are less than adequate in providing the information items required to utilize the non-naive methods of capital budgeting. It is therefore suggested that the MIS concept be vastly broadened in regard to such decisions.     

Stability and Complexity of Inter-Firm Co-operation:: The case of Multi-Point Alliances

The authors examine alliances involving inter-firm co-operation which they term ‘multi-point alliances’. These are first defined and considered in varying degrees of complexity. A typology of multi-point alliances is produced, and interviews conducted with French and Spanish corporations followed by a two-stage questionnaire survey of France's largest corporations. The dynamics of multi-point co-operation were then examined. The results include support for the authors' research hypothesis that both business complexity (scope) and organizational complexity (structure) impact the evolution of co-operation: the higher the complexity, the more likely the co-operative arrangement will diverge from its initial objective.     

The folly of theorizing “A” but testing “B”: A selective level-of-analysis review of the field and a detailed Leader–Member Exchange illustration

Leadership research has recently begun to emphasize the importance of examining the level of analysis (e.g., individual, dyad, group, organization) at which phenomena are hypothesized to occur. Unfortunately, however, it is still not commonplace for theory to clearly specify, and for investigations to directly test, expected and rival level-of-analysis effects. This article first selectively reviews a cross-section of theories, models, and approaches in leadership, showing generally poor alignment between theory and the level of analysis actually used in its testing. A multiple levels of analysis investigation of the Leader–Member Exchange (LMX) model is next presented. This theory has as its foundation the dyadic relationship between a supervisor and his or her subordinates. Yet, less than 10% of published LMX studies have examined level of analysis—and none has employed dyadic analysis. Using within- and between-entities analysis (WABA) and two different samples, four LMX level-of-analysis representations are tested, which involve monosource data; three of these models are then tested using heterosource data. Overall, good support is found for the LMX approach at the within-groups and between-dyads levels. Implications for aligning theory with appropriate levels of analysis in future research are considered.     

Great Expectations. Part I: On the Customizability of Generalized Expected Utility

We propose a generalization of expected utility that we call generalized EU (GEU), where a decision maker’s beliefs are represented by plausibility measures and the decision maker’s tastes are represented by general (i.e., not necessarily real-valued) utility functions. We show that every agent, “rational” or not, can be modeled as a GEU maximizer. We then show that we can customize GEU by selectively imposing just the constraints we want. In particular, we show how each of Savage’s postulates corresponds to constraints on GEU.     

Gender conformity,self-objectification,and body image for sorority and nonsorority women: A closer look

Sororities have been identified as placing young women at risk for body image concerns due to a focus on traditional gender role norms and objectification of women. Objective: This study assessed the relationship between conformity to feminine gender role norms, self-objectification, and body image surveillance among undergraduate women. Participants: In a random sample of undergraduates, the authors examined data from sorority and nonsorority women. Methods: In a random sample of undergraduate women, the authors assessed the impact of traditional feminine gender role norms on self-objectification, body image, and feedback regarding physical appearance for sorority and nonsorority undergraduate women. Results: Three linear regressions were conducted, and only conformity to feminine gender role norms contributed significantly in each regression model. Conclusions: Regardless of sorority membership, conformity to feminine gender role norms was found to significantly contribute to increased body consciousness, negative body image, and feedback on physical appearance.