Developing the Causal Model of Online Store Success

This article introduces an Online Store Success Model (OSM) that reflects the characteristics of information systems, marketing, and e-commerce, and then empirically test the model. The OSM has five dimensions: system quality, information quality, service quality, trust, and customer loyalty. The model posits the causal relationships between the dimensions. In order to empirically test the model, a research model is developed and empirically analyzed by structural equation modeling using data from 244 customers on 69 online store websites. The results show that system quality significantly influences service quality and trust; information quality significantly influences service quality and customer loyalty; service quality also significantly influences trust and customer loyalty; and trust has a significant influence on customer loyalty.     

Can commodity futures risk factors predict economic growth?

This paper examines whether commodity futures risk factors can predict future economic growth. We test risk factors capturing various spot or term premia and find that only three factors capturing term premia on the basis-momentum, basis, and change in slope are robust predictors for future economic growth, especially for long horizons. Our findings highlight the importance of the term premia, rather than the spot premia on which the literature has mainly focused. Moreover, we find that possible explanations for predictability of commodity factors—the intertemporal asset pricing model and information diffusion explanation—are all inconsistent with our empirical results.     

Adding a freight network to a national interstate input–output model: a TransNIEMO application for California

The state of the nation’s infrastructure is the subject of widespread discussion and comment because it is thought to include many deteriorating and unsafe bridges. Ever since the terrorist attacks of 9/11, there has been increasing concern over the extent to which an attack on infrastructure could result in serious economic disruption. This research develops a model to analyze the economic consequences of an attack on a major element of the highway network. We add a freight network to a national multiregional economic impact model and make freight traffic flows endogenous. The use of a sub-national interstate model recognizes that most infrastructure planning is at the state level and most political leaders’ interest is local. We base our approach on the National Interstate Economic Model (NIEMO) and refer to an elaboration that we name Transportation network and the National Interstate Economic Model (TransNIEMO). The new model enables us to study the state-specific and industry-specific economic impacts of some significant changes in the nature of highway freight movements. We tested the model for selected freight movements in and out of California. The results are entirely plausible and encourage us to elaborate and test the model for hypothetical disruptions of freight traffic throughout the US.     

Seeing Without Looking: The Effects of Hemispheric Functioning on Memory for Brands in Computer Games

The authors hypothesize that the effectiveness of in-game advertising is influenced by two inborn traits, bisected hemispheric functioning and physiological arousal, that are at the core of human behavior. A 2 (preattentive processing type) × 2 (arousal level) between-subjects design was employed in both Experiment 1 (well-known brand placement) and Experiment 2 (lesser-known brand placement). The results from the two experiments reveal that people show better recognition memory for in-game ads when brand names are presented peripherally in the right visual field and brand images are embedded peripherally in the left visual field. In addition, people can remember more brand ads when they experience less arousal (Experiment 1). This effect, however, is attenuated when unfamiliar brands are placed in the game (Experiment 2). Implications are discussed for further investigation.     

Moderating effect of capital intensity on the relationship between leverage and financial distress in the U.S. restaurant industry

During the recent and ongoing economic turmoil, countless businesses have been facing financial distress and many have filed for bankruptcy. This issue is especially critical for the restaurant industry due to restaurants’ sensitivity to economic fluctuations. Therefore, the purpose of this study is to examine the financial distress issue in the U.S. restaurant industry. In particular, the study examines a moderating effect of capital intensity on the relationship between a firm's leverage and degree of financial distress. The dataset includes publicly traded U.S. restaurant firms during the period 1990–2008. The study measures the degree of financial distress by modified Z-scores, and findings suggest a positive moderating effect of capital intensity on the relationship between leverage and financial distress.     

Measuring festival quality and value affecting visitors’ satisfaction and loyalty using a structural approach

Perceived value is understood to be a precursor of customer satisfaction and loyalty and is itself impacted by product quality. The linkages between quality, value, satisfaction, and loyalty have been gaining increasing attention in the marketing field. Accordingly, this study examines whether quality dimensions have an impact on perceived value, which, in turn, affects satisfaction and loyalty, in the context of the Punggi Ginseng festival.     

Why do satisfied customers switch? Focus on the restaurant patron variety-seeking orientation and purchase decision involvement

Company efforts to make customers switch from competitive brands to their own or induce them to repurchase their own brands are very important in their marketing activities and in this regard studies of customer variety-seeking orientation and level of involvement in decision making play a crucial role in explaining customers’ product selection activities. The purpose of this study intends to examine interrelationships among customer satisfaction, loyalty, and switching intent in family restaurants and verify the moderating effect of customer variety-seeking orientation and purchase decision involvement. A total of 305 patrons in Korea participated. The results showed a positive relationship between customer satisfaction and loyalty. Participants expressing a high level of satisfaction were more likely to switch restaurants. Whether customers feel loyalty determines their switching intent. There were moderating effects related to customer variety-seeking orientation in the causal relationships between customer loyalty and switching intent. Limitations and future research directions are also discussed.     

An SAO‐based text‐mining approach for technology roadmapping using patent information

A technology roadmap (TRM) links technologies with a company's strategic objectives and so supports acquisition of required technologies in advance of needs. It is a powerful tool for strategic planning and technology management. Because technology is changing rapidly and market competition is fierce, the role of a TRM is becoming increasingly important. To support the role of a TRM, many firms and governments that use roadmapping are becoming interested in reducing costs while retaining objectivity during TRM development. One suggestion to achieve these goals is to use the keyword‐based quantitative approach to creating a TRM, but the information provided by the approach is limited because of the characteristics of keyword information. To solve this limitation, this research uses the concept of ‘function’ to support quantitative analysis for developing a TRM. The concept of function can provide information on the uses and purposes of a technology. To represent a function, a subject–action–object structure is commonly used. The suggested approach allows research and development (R&D) managers to extend the views of product and technology during development of a TRM. In addition, by reducing the time required to develop a TRM, the proposed approach supports quick and accurate decision‐making by R&D managers.     

Estimating the Economic Impact of Convention and Exhibition Businesses,Using a Regional Input–Output Model: A Case Study of the Daejeon Convention Center in South Korea

Past research on the economic impact of convention and exhibition businesses has neglected disaggregated expenditures of these consumer groups. The primary reason for this neglect is that estimating the economic impacts of these businesses is complicated and requires comprehensive surveys of various consumer groups. Thus, this study estimated expenditures based on surveys to different consumers such as convention and exhibition visitors, convention and exhibition organizers, and exhibitors. This study also employed a regional input–output (I–O) model and then matched the types of expenditure patterns with the I–O table. Survey results show that exhibition visitors spent the largest amount (US$153 million), followed by convention attendees (US$48 million), convention organizers (US$47 million), exhibition organizers (US$3.3 million), and exhibitors (US$2.8 million). The results of the I–O model indicate that the Daejeon Convention Center generated US$488 million of output impact, US$102 million of income impact, US$233 million of value added impact, and 10,211 jobs.     

ESTIMATING A DYNAMIC SPATIAL EQUILIBRIUM MODEL TO EVALUATE THE WELFARE IMPLICATIONS OF REGIONAL ADJUSTMENT PROCESSES: THE DECLINE OF THE RUST BELT

This article develops and estimates a new dynamic spatial equilibrium model to study the regional transition dynamics and its impact on individual and aggregate welfare. The model consists of a multiregion, multisector economy comprised of overlapping generations of individuals with heterogeneous skills and mobility costs. The empirical findings suggest that a large fraction of the decline of the Rust Belt can be attributed to the reduction in its region‐specific comparative advantage in the goods‐producing sector. This decline generated significant differences in welfare across regions. Policy experiments show that such inequality can be significantly reduced through place‐based policies.