Axiomatic Based Decomposition for Conceptual Product Design

This paper describes a structured methodology for decomposing the conceptual design problem in order to facilitate the design process and result in improved conceptual designs that better satisfy the original customer requirements. The axiomatic decomposition for conceptual design method combines Alexander's network partitioning formulation of the design problem with Suh's Independence Axiom. The axiomatic decomposition method uses a cross‐domain approach in a House of Quality context to estimate the interactions among the functional requirements that are derived from a qualitative assessment of customer requirements. These interactions are used in several objective functions that serve as criteria for decomposing the design network. A new network partitioning algorithm is effective in creating partitions that maximize the within‐partition interactions and minimize the between‐partition interactions with appropriate weightings. The viability, usability, and value of the axiomatic decomposition method were examined through analytic comparisons and qualitative assessments of its application. The new method was examined using students in engineering design capstone courses and it was found to be useable and did produce better product designs that met the customer requirements. The student‐based assessment revealed that the process would be more effective with individuals having design experience. In a subsequent assessment with practicing industrial designers, it was found that the new method did facilitate the development of better designs. An important observation was the need for limits on partition size (maximum of four functional requirements.) Another issue identified for future research was the need for a means to identify the appropriate starting partition for initiating the design.     

Evaluating the Deming Management Model of Total Quality in Services*

This article uses the Deming management model developed by Anderson et al. (1994b) as an initial template to analyze total quality in services. While the literatures addressing quality management have developed separately for products and services, the founders of total quality portrayed this management philosophy as universally oriented. Our study first replicates two earlier studies that tested the Deming management model in manufacturing industries. Using hospitals as our unit of analysis, we realized findings similar to the earlier manufacturing studies. Next, we used contributions from the MBNQA literature to test an enhanced model. Our subsequent findings support the MBNQA concept that “leadership drives the system that creates results” and provides evidence of the ubiquitous importance of leadership for ensuring the success of a quality improvement program. Finally, an anomaly of this study and those published earlier is the inability to find support for the relationship between continuous improvement and customer satisfaction. Integrating the substantial work in the service quality literature focused on customer satisfaction measurement is recommended to future researchers to help resolve this issue and further enhance the model.     

Determining Uses and Gratifications for the Internet

Uses and gratifications (U&G) is a media use paradigm from mass communications research that guides the assessment of consumer motivations for media usage and access. It has been used previously in research and decision making related to the promotion of emerging radio and television media. Recent adaptations of U&G research to the Internet are incomplete and have not identified important new Internet‐specific gratifications. This paper empirically derives dimensions of consumer Internet use and usage gratifications among customers of a prominent Internet Service Provider (ISP). Results describe three key dimensions related to consumer use of the Internet, including process and content gratifications as previously found in studies of television, as well as an entirely new social gratification that is unique to Internet use. All three dimensions of gratification are relevant to managing the Internet as a commercial medium, and measures developed from the gratification profiles identified here can serve as trait‐valid scales in future Internet and e‐commerce research.     

THE PLANT LOCATION DECISION IN MULTINATIONAL MANUFACTURING FIRMS: AN EMPIRICAL ANALYSIS OF INTERNATIONAL BUSINESS AND MANUFACTURING STRATEGY PERSPECTIVES

The paper combines perspectives from international business and manufacturing to examine multinational plant location decisions. The location choice in manufacturing is between integrated and independent plants, while the international choice is between a foreign and domestic plant relative to their headquarters' country. The study empirically investigates whether these choices have different plant location determinants using data from a survey of plant managers of large, multinational firms. We find more evidence that the manufacturing choices benefit from consideration of international business issues than vice versa. However, managers rank determinants associated with manufacturing strategy considerably higher than those associated with intemational business.     

OUTCOME UNCERTAINTY,FAN TRAVEL,AND AGGREGATE ATTENDANCE

The uncertainty of outcome hypothesis (UOH) informs economists' understanding of consumer decisions to attend sporting events and team revenue generation. We develop a model of fan behavior based on standard expected utility methods which incorporates fan heterogeneity in terms of decisions to travel to away games and strong preferences for wins. The model reflects aggregate attendance outcomes across local and visiting fans, generates predictions consistent with the UOH, and gives rise to concave league-wide revenue functions. Empirical analysis of game outcomes and attendance at regular season National Basketball association games from 1979 to 2013 supports key predictions of the model. (JEL L83, D12, Z20)     

A BAYESIAN APPROACH TO PLANT-LOCATION DECISIONS*

The paper addresses the problem of plant location in the formal context of decision making under uncertainty and presents a framework employing Bayesian analysis in the collection and assessment of information. As a general model, the Bayesian approach is shown to subsume two practical approaches common to plant-location literature: satisficing and spatial hierarchy of plant-site characteristics.