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Investigates time as a factor that influences consumer preferences for innovative technological services such as the Internet. Specifically, the case of consumer adoption of the Internet for home use is explored. Examines the effect of time of adoption of Internet based services on preferences at the individual consumer level. The key research question is “What is the effect of time of adoption on consumer preferences for a technological service such as the Internet?” The primary contribution of this research is to demonstrate that existing time preference frameworks, previously applied to consumer durable products, can also be applied to technological service innovations, such as the Internet. An empirical examination is conducted using data from a survey of consumers in the initial stages of Internet adoption.

The purpose of this paper is to examine factors affecting consumers' acceptance of mobile marketing in China.

The authors draw on technology acceptance and uses and gratifications theories to develop a conceptual model of antecedent factors (including risk acceptance related to the mobile platform and personal attachment related to mobile devices) and marketing‐related and value‐based mobile activity related to the acceptance of mobile marketing practice. The conceptual model is tested using data collected among Chinese youth consumers.

The results confirm the importance of risk acceptance and personal attachment in influencing mobile marketing acceptance, and support the “priming” effect of regular mobile phone usage on orienting consumers toward accepting mobile marketing initiatives.

The study is limited to a specific sample of youth consumers in China. The findings illustrate the role of antecedent factors – including personal attachment and risk acceptance – related to acceptance of mobile marketing in the Chinese market and they emphasize the role of marketing‐related and value‐based mobile activity in mediating the relationships between antecedent factors and mobile marketing acceptance.

The findings illustrate the importance of recognizing the drivers of, and obstacles to, mobile marketing acceptance. These factors included the likelihood of providing information, likelihood of accessing content, likelihood of sharing content, level of risk acceptance, and level of personal attachment to one's mobile phone.

The paper adds to the growing literature on Chinese youth consumers by examining their acceptance of mobile marketing. The study reveals several implications for theory and practice relating to the antecedents of mobile marketing acceptance among the youth consumer segment within China, a large and emerging market.

Examines consumer preferences for forthcoming technological innovations. Studies consumer response to different levels of technology over time. Looks at preferences for existing and intermediate technologies when future ones are expected. Focuses on technological consumer durables that are expected to evolve over time. The primary contributions of this research are: an understanding of how consumer preferences for a technology are affected by the time of adoption; an understanding of the value to consumers of obtaining different levels of a technology, at different points in time; and the utilization of parsimonious indices to assess consumer response to different levels of technology over time. An empirical examination is conducted for high definition television (HDTV). Using survey data, the study explores consumer preferences for HDTV, and for interim television technologies. Managerial implications to aid product design, and the timing of introduction of evolving technological innovations, are also discussed.

Examines how marketing research affects cycle time (the time from product conceptualization to product introduction), in technology‐driven industries. The key research question to be examined in this study is: how do the collection, dissemination and utilization of marketing research information affect cycle time? Focuses on the telecommunications industry as an industry in which technology often drives the dynamics in the marketplace. Presents an empirical examination of the key research question in an exploratory study of hardware firms in the telecommunications industry. The results suggest that the collection of marketing research does not impact cycle time significantly. However, increased frequency of dissemination of the information collected via marketing research can increase cycle time. Finds also that, while the utilization ofmarketing research in designing products can increase cycle time, utilization of marketing research for strategy development can actually reduce cycle time. Thus, incorporation of marketing research in new product development can aid the introduction of new products in a timely manner.

The primary objectives of this study are to determine if consumer expectations and perceptions of airline service quality vary by nationality. The study also examines whether the relative importance attributed to service quality dimensions in domestic settings can be replicated internationally. An empirical examination of airline passengers is conducted for airlines competing on the transatlantic corridor using a survey instrument in three languages. The study is the first application of an existing model, SERVQUAL, to examine consumer expectations and perceptions in an international environment. It differs from earlier published SERVQUAL research in two significant respects; first, it applies the model internationally in a general classification of business, i.e. international airline service, rather than to individual domestic business enterprises. Second, it applies a portion of the SERVQUAL model to assess service quality by comparing the expectations and perceptions that European and US airline passengers have of both European and US airline groups.

The purpose of this paper is to assess how the study of consumer behavior can benefit from the presence of Big Data.

This paper offers a conceptual overview of potential opportunities and changes to the study of consumer behavior that Big Data will likely bring.

Big Data have the potential to further our understanding of each stage in the consumer decision-making process. While the field has traditionally moved forward using a priori theory followed by experimentation, it now seems that the nature of the feedback loop between theory and results may shift under the weight of Big Data.

A new data culture is now represented in marketing practice. The new group advocates inductive data mining and A/B testing rather than human intuition harnessed for deduction. The group brings with it interest in numerous secondary data sources. However, Big Data may be limited by poor quality, unrepresentativeness and volatility, among other problems.

Managers who need to understand consumer behavior will need a workforce with different skill sets than in the past, such as Big Data consumer analytics.

To the authors ' knowledge, this is one of the first articles to assess how the study of consumer behavior can evolve in the context of the Big Data revolution.

The impact of e‐business on export management companies (EMCs) has been debated for some time and several reasons for their survival have been forwarded. Based upon the resource‐based perspective of the firm, this study provides a far more fundamental reason for the survival of the well‐established EMCs‐their market‐based assets. Furthermore, this study analyzes the impact of e‐business proliferation on the well‐established EMCs transaction creating and physical fulfillment exporting services and their efficiency and effectiveness.

The purpose of this paper is to examine the characteristics of e‐shopping malls by using Kano's two‐dimensional quality model; also to determine the salient quality attributes, including those attributes that increase customer satisfaction and technological characteristics that are essential for the use of e‐shopping malls, to provide important strategic implications.

In this regard, the paper is divided into Study 1 and Study 2. Study 1 uses Kano's two‐dimensional quality model to determine the characteristics of e‐shopping malls, whereas Study 2 analyzes the relationship among e‐shopping malls' characteristics, customer satisfaction, flow experience, and trust.

According to the results of Study 1, communication quality and marketing activity reflected one‐dimensional quality attributes. In addition, brand recognition was an attractive quality attribute, whereas interface quality, system security, and information quality were must‐be quality attributes. According to the results of Study 2, communication‐related attributes of e‐shopping malls did not have significant effects on customer satisfaction, whereas other attributes such as brand recognition, marketing activity, interface quality, system security, and information quality directly influenced customer satisfaction.

The results also have important implications for researchers. First, the quality dimensions of e‐shopping malls can be identified through an empirical analysis based on Kano's model. This indicates that the quality attributes of e‐shopping malls can be better examined by using a two‐dimensional quality model than by using a one‐dimensional quality model. Second, the authors not only extracted the quality dimensions based on Kano's model but also examined customer satisfaction, flow experience and trust to verify their relationships, providing a better understanding of the effective quality management of e‐shopping malls.

Previous studies considering various types of e‐shopping malls have focused on the design and functions of e‐shopping mall web sites; the elements that vitalize e‐commerce and the key factors influencing the success of e‐commerce; and the factors influencing customer satisfaction and purchase intentions. Most of the literature on e‐shopping malls have typically approached this topic by using a one‐dimensional method relying on whether the physical/technological attributes of e‐shopping malls are fulfilled. This paper expands the horizon by incorporating a systematic approach to web service qualities using Kano model, which is a multi‐dimensional model.