Integrating expected coverage and local reliability for emergency medical services location problems

Daskin's MEXCLP model [Daskin M. A maximum expected covering location model: formulation, properties, and heuristic solution. Transportation Science 1983;17:48-70] was one of the first efforts to capture the stochastic nature of emergency medical services (EMS) location problems within a mixed-integer formulation. With their subsequent introduction of MALP, ReVelle and Hogan [The maximum availability location problem. Transportation Science 1989;23:192-200] offered two key advances, local vehicle busyness estimates and the α-reliability objective. While these constructs have influenced many subsequent EMS location models, they have been subjected to relatively little empirical analysis. To address this, we introduce the LR-MEXCLP, a hybrid model combining the local busyness estimates of MALP with the maximum coverage objective of MEXCLP. We then solve a series of problems with all three models and employ simulation to estimate aggregate service levels. We find that LR-MEXCLP leads to modest but consistent service gains over both MALP and MEXCLP. These results support the merits of local busyness estimates, but they also suggest that the α-reliability objective may be inappropriate when seeking to maximize aggregate system response capabilities. More generally, our research underscores the utility of (a) linking modeling assumptions and goals with real-world application contexts, and (b) employing simulation or other techniques to validate theoretical results.     

Mobile technology usage and B2B market performance under mandatory adoption

This paper investigates the relationship between mandatory adoption of mobile information technology and market performance in the business-to-business (B2B) setting. This study presents and tests the B2B technology satisfaction model (TSM), including perceived loss of control as the mandatory technology acceptance-specific variable. The results of this study reveal that integrating perceived loss of control with user satisfaction and the TAM (technology acceptance model) in a single model can better explain the B2B market performance model. The empirical results suggest that perceived loss of control has a negative effect on user satisfaction and perceived market performance is influenced by user satisfaction and perceived usefulness. Managerial implications of the study are discussed.     

Sales force automation systems: An analysis of factors underpinning the sophistication of deployed systems in the UK financial services industry

This study investigates organizational and strategic context variables that are linked to the sophistication of sales force automation systems in UK financial services firms. We find that increasing sophistication in SFA deployment, evaluated as a count of the number of types of results of sales campaigns that are measured, is driven directly by the information orientation of the host firm. We also find that the “sophistication” of deployed systems is, in fact, limited — the information held on the systems cannot underpin the strategic goals of the sales/marketing managers. We theorise that adoption of SFA systems is driven by managerial imperatives and that these have resulted in sales force resistance — shown by the paucity of information held on adopted SFA systems.     

Strategizing in industrial networks

This paper provides an overview of the implications for strategizing offered by an industrial network perspective and a comparison of this view with strategic management thinking. We argue that it is crucial for a company to relate its activities to those of other firms in order to enhance its performance, and it is through the continuous combining and recombining of existing resources that new resource dimensions are identified and further developed within business relationships. From the standpoint of a single company, strategizing from an industrial network perspective implies that the heterogeneity of resources and interdependencies between activities across company boundaries, as well as the organized collaboration among the companies involved, must be considered simultaneously.     

Changes in sponsorship value: Competencies and capabilities of successful sponsorship relationships

The sponsorship relationship has evolved considerably over the past few years. As a result, the value delivered to both sponsors and the sports entities with which they form relationships needed to be redefined. While some of these partners have made the necessary leap forward, some sponsors have also been confronted with resistance on the part of sport entities to adapt to evolving perceptions of value. Based on a qualitative study aimed at canvassing the views of some of the most prominent experts in the field and spanning 4 years and four continents, we document this evolution of sponsorship value and identify those key competencies that differentiate successful sponsors from less successful ones. Our research provides insights for other inter-firm relationships, particularly those in the service sector.     

Business partnering—a driving force for innovation

Win-Win situations are used and also created by companies which cooperate with each other, complement each other on a synergy basis and work together fairly and competently. Today, business partnering has therefore become a key qualification for companies. This should not depend alone on the commitment of individual persons.This article describes how Siemens has organized its company, services and products using partnering solutions and how it has installed this concept as an intrinsically dynamic process. Thanks to institutionalized partnering, B2B interfaces have been established to form a rational alliance, offering benefits to all involved, and can be used regardless of the size of the company. These offerings generate Win-Win situations themselves—and provide individual employees in large companies with a structural framework for a personal partnering initiative.     

Foreign direct investment: A genetic algorithm approach

This paper proposes a genetic algorithm (GA) approach as an analytical tool with a carefully defined fitness function for variable selection. Discriminant analysis will be used as a parameter evaluation method for the analysis of inward foreign direct investment (FDI) in China. Results indicate that the proposed GA method is more efficient in classifying “successful or unsuccessful” inward FDI by providing higher accuracy rates while using fewer variables than previous efforts. An implication of this result is that, given a scarcity of resources and the need to promote FDI, the proposed GA may provide a more efficient way to concentrate on those fewer variables found to be important determinants of “successful” FDI inflow.