<p> </p><p><em>Purpose</em></p><p>Our purpose is to develop a model, based on theoretical framework regarding expansion strategies and cultural differences and see if it can explain the establishment of Swedish staffing companies in Oslo, Norway.</p><p><em>Theoretical Framework</em></p><p>The theoretical framework presents theories within the field of cultural and social beha-vior, internationalization in general and two different approaches of international expan-sion. Each theory is explained and referred to entrepreneurial expansion.</p><p><em>Method</em></p><p>This study has been based on three Swedish staffing companies and their expansion to Oslo, Norway. The research done has been both quantitative with surveys and qualita-tive with semi-structured interviews.</p><p><em>Findings</em></p><p>According to the study, reasons to expand to Oslo for a Swedish staffing company are mainly due to the cultural similarities and the lucrative possibilities within the market. Expansion is preferable done with an incremental approach in line with the Uppsala model. Furthermore, no major barriers exist. The models of International New Venture and Born Globals are not applicable, while the theory of Hofstede is partially supported. Scott‟s theory is unworkable to consider due to lack of differences, while the intervie-wees support the theory of Rundh in terms of internationalization. It is the belief of the authors that their own model, supported by the empirical findings, also can be used by other companies, acting in other industries, in order to get a comprehensive overview of the factors that should be taken into account before going international. One should though keep in mind, that the cultural differences normally are bigger than in the case with Sweden and Norway.</p><p> </p> / <p> </p><p><em>Syfte</em></p><p>Vårt syfte är att utveckla en modell som bygger på teori gällande expansionsstrategier och kulturella skillnader för att se om det kan förklara etableringen av svenska bemanningsföretag i Oslo, Norge.</p><p><em>Teori</em></p><p>Författarnas teoretiska ramverk presenteras genom teorier om kulturella och sociala skillnader, samt internationalisering i allmänhet som presenteras genom två olika strategier. Varje teori förklaras och återknyts till företagsexpansion.</p><p><em>Metod</em></p><p>Den här studien är baserad på tre svenska bemanningsföretag och deras expansion till Oslo, Norge. Undersökningen som utförts har varit både kvalitativ, i form av semistrukturerade intervjuer, samt kvantitativ genom en undersökning.</p><p><em>Resultat</em></p><p>Enligt studien är skälen till att svenska bemanningsföretag väljer att expandera till Norge främst de kulturella likheterna länderna emellan, samt de lukrativa möjligheter som finns inom den norska marknaden. Expansion till Norge görs vanligtvis med ett successivt tillvägagångssätt i linje med Uppsala-modellen. Inga större hinder med expansion har påvisats. Vidare visar studien att modellerna International New Venture och Born Globals inte är tillämpliga, medan teorin av Hofstede får visst stöd. De två intervjuade deltagarna stödjer dock Rundh‟s teorier angående internationalisering. Författarnas uppfattning är den egna modellen, utvecklad med hjälp av det empiriska materialet, även kan användas av företag i andra branscher för att få en överskådlig bild av de faktorer som kan komma att påverka valet gällande en eventuell utlandsexpansion. De måste dock vara medvetna om</p><p> </p>

'Operational Effectiveness and Staffing' Breakout session from the Living the Future 8 Conference, April 23-24, 2012, University of Arizona Libraries, Tucson, AZ.

Operations research and queue theory have many different applications, providing tremendous value for different organizations. With the rise of fast computers and better data, stochastic processes can be better modeled into simulations to provide results of higher quality. The application of Operations Research is a very interesting intersection of mathematics, statistics, computer science and management science. In this project, the benefits of using point wise stationary approximations and stationary independent period by period approximationsto simulate staffing requirements at LAX (Los Angeles International Airport) in conjuction are examined with the motivation of reducing arrival processing times. This paper then examines the performance of different airport layouts, utilizing a discrete event simulation.

This dissertation comprises three essays in which we develop optimization, econometric, and simulation models to help traditional retailers improve in-store operations. Our modeling efforts aim to tackle inventory record inaccuracy (IRI) and suboptimal staffing levels, both of which are pervasive problems in retailing and cause non-trivial profit loss. In the first essay, we devise two optimization models that represent current practices in industry to minimize costs induced by IRI: daily-fraction and all-or-none inspection. We further perform a case study to identify deficiencies of store operating practices given different risk preferences. Our findings provide practical guidelines for managers to design cost-efficient inspection policy. In the second essay, we develop a dynamic simulation model to analyze multiple antecedents of IRI. Based on simulation results, we derive two hypotheses on the association between IRI and labor. The panel data analysis shows that both the level and the mix of store labor have strong impacts on IRI. Our analysis derives qualitative insights for retail managers to prevent the occurrence of IRI. Finally, in the third essay, we perform an empirical study to improve staffing decisions in retailing. We first develop a response function to quantify the impact of labor and traffic on sales. Grounded on the function we propose a traffic-based staffing heuristic, which performs closely to the optimal and outperforms existing staffing levels in counterfactual experiments. A major contribution of our study is to quantify the benefits of delivering labor plans based on traffic information. Also, the staffing approach is easy to use and saves the need for traffic forecasting.

Thesis (M.H.A.)--University of Michigan, 1977.

Thesis (M.H.S.A.)--University of Michigan, 1983.

Thesis (M.H.S.A.)--University of Michigan, 1983.

Thesis (M.H.A.)--University of Michigan, 1977.

We investigate a multinational corporation's (MNC) decision to appoint host-country national (HCN) managers to foreign subsidiaries based on the institutional context of and familiarity with the host country. HCN managers are commonly associated with specialized knowledge, superior responsiveness, and higher legitimacy. Yet, we argue that local familiarity of HCNs can also be perceived as risky or harmful by MNC parents. We analyze how formal and informal institutions affect the trade-off between positive effects and potential costs associated with HCN managers ("Local allies" vs. "Trojan horses"). We find that legal institutions protect foreign MNCs from potential costs, encourage the use of HCNs and reinforce their benefits. Corruption and corruption distance, however, increase perceived costs associated with HCN managers up to a point at which they outweigh their perceived benefits.

Master of Agribusiness / Department of Agricultural Economics / Jason S. Bergtold / Technical support for products after the sale is commonplace in today’s businesses. Original Equipment Manufacturers (OEMs) provide technical support to their dealer channel for resolution of complex product issues. Technical support staffing levels can vary by product type, product complexity, and production volumes, and case volumes. This research seeks a better understanding of appropriate staffing levels between three product lines for one OEM. The objective of this paper is to develop a model for monthly and weekly average case volumes for the three product lines, based off of historical case volume data. This data is used to predict a product line’s (platform’s) workload based off the month of the year. The output of each platform’s monthly case volume is then used in an optimization model to determine optimal staffing levels for each platform, based off the time of the year. The models developed for each platform use a linear relationship which regresses workload on a set of binary variable for the months of the year. Each of the models developed provided statistically significant coefficients for months which contain the platform’s highest workload. The outputs from these models are used in a mixed integer nonlinear programming optimization model to determine staff level of full time equivalent (FTE) employees at each platform. Each of the three scenarios utilized in this research provide similar trends and staffing levels for each of the three product lines. Results of this research are of interest for the management of technical support staffing.