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.     

Contextualized Project Management Practice: A Cluster Analysis of Practices and Best Practices

The specificity of project management in different contexts and industries is recognized, but little empirical research encompasses a sufficiently broad range of contexts and project types to precisely identify these specificities. This article adopts such a wide perspective based on a large sample of data from an ongoing empirical investigation of project management practice. Contextual archetypes are identified (i.e., clusters of experienced practitioners that share similar organizational and project contexts). Archetypes of contextualized practice are then investigated through the study of the extent of use of empirically identified toolsets in each cluster. The results empirically confirm some well‐known assumptions about practice but also sharpen the knowledge and understanding of practice in real complex multidimensional contexts. A new concept of “performing‐maturity” emerged from the data. This concept sheds light on the entangled imbrications of maturity, competence, and success. Practices are regressed against performing‐maturity to reveal best contextualized practices.     

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.     

Pricing Internal Trade to Get a Leg up on External Rivals

The pricing of transfers from parent to subsidiary is an oft-explored issue. Linking the cost of internal transfers with external market prices is one common approach, typically justified when the market for the good is perfectly competitive. This paper shows that imperfect competition may also justify market-based transfer prices. Concern that transfer price will deviate from marginal cost and thereby distort subsidiary choices can lead a parent to undertake actions to influence the market price of the upstream good. Such efforts can provide a desirable strategic posture in the upstream market.     

Rater source factors represent important subcomponents of the criterion construct space, not rater bias

We contrast normative accuracy and ecological perspectives on applications of the multitrait–multimethod methodology to multisource performance ratings and review existing research that provides critical tests of these perspectives. Existing research supports the ecological perspective which proposes that the rater source effects that are typically found in analysis of multisource performance ratings do not represent mere halo biases but alternative, perhaps equally valid perspectives on ratee performance. We suggest that future research view multifaceted research designs in the broader context of a prototype multidimensional data relational system such as that proposed by Lance, Baranik, Lau, and Scharlau (Lance, C. E., Baranik, L. E., Lau, A. R., & Scharlau, E. A. (in press). If it's not trait it must be method: (Mis)application of the multitrait–multimethod design in organizational research. In C. E. Lance & R. J. Vandenberg (Eds.), Statistical and methodological myths and urban legends: Received doctrine, verity, and fable in the organizational and social sciences. Mahwah, NJ: Erlbaum).     

Attention to Fairness versus Profits: The Determinants of Satisficing Pricing

We investigate determinants of the competitive behaviour of satisficing, non‐profit‐maximizing pricing. Taking a behavioural approach, we argue that pricing decisions are motivated by fairness objectives as well as the desire to achieve economic objectives. We draw from the attention‐based view to build our theoretical model explaining the contextual conditions that are most likely to be associated with attention to fairness relative to attention to achieving maximum profits when setting prices. Our hypothesized predictors of satisficing pricing decisions encompass the institutional context in which the firm is embedded, the exchange context with customers and suppliers, and the context internal to the firm. Hypotheses are tested with survey data of over 3000 firms from 15 countries. We find that the decision to set prices at a satisficing level is remarkably common, and its prevalence is associated with contextual factors that are consistent with greater attention to fairness concerns.     

Transnational entrepreneurs,worldchanging entrepreneurs,and ambassadors: a typology of the new breed of expatriates

As barriers to globalization have steadily diminished, the number of entrepreneurial and noncommercial expatriates have grown from a trickle to a torrent. Much of what we know about expatriatism may not apply to this new breed of expatriates. A four-quadrant typology of expatriates draws attention to important differences in expatriate types. I make use of the notions of comparative fit and normative fit from self-categorization theory to validate the typology. Examining the experiences of 160 expatriates demonstrates that the proposed typology represents real differences and is invoked by expatriates in the field. Scholars may apply this typology to explain inconsistent findings in extant studies and as a guide for the development of new research questions.     

Group decision-making: Head-count versus intensity of preference

This paper puts forth a framework for reshaping the group decision-making process. The proposed framework extends from the usual one-issue-at-a-time decision-making to one that involves several related issues simultaneously. Weaknesses of the traditional majority voting mechanism are first identified, and then a different voting method that takes each individual voter's sentiment into account is discussed. Specifically, a decision-maker is asked to express his/her intensity of preference for the issues encountered. Three hierarchical structures—benefits, costs, and risks—are developed to evaluate the alternatives. Due to the nature of pairwise comparisons and synthesis, the proposed method is amenable to consensus building and has higher reliability and consistency. It can be used for candidate selection, e.g. governmental election, when a large population is involved. It is also effective for resource allocation and prioritization when a small group or business is concerned. We believe the proposed approach has potential for resolving deficiencies of the conventional voting mechanism, and can be applied to many real-world problems. Its implementation on the Internet is also discussed.