Fareena Sultan

Are the Drivers and Role of Online Trust the Same for All Web Sites and Consumers?: A Large-Scale Exploratory Empirical Study

This research investigates the determinants and role of consumer trust in e-business. It examines consumer perceptions of trust in a Web site and addresses the following key research questions: What factors influence consumer trust in a Web site and what specific Web site trust cues are associated with these factors? How does trust affect consumer behavioral intent on a Web site? To address these questions, we develop a conceptual model that links consumer perceptions of Web site characteristics, consumer characteristics and demographics to perceptions of trust in a Web site, and trust to behavioral intent related to a Web site. We also examine whether trust mediates the relationship between Web site and consumer characteristics and behavioral intent related to the Web site. We test our hypotheses in a large-scale empirical study that estimates this model from 6831 consumers across 25 Web sites and eight industry categories. We validate the model using a holdout sample. The results show that Web site, consumer, category and demographic variables can explain 76% of the variance in trust. Web site characteristics such as privacy and security, navigation, presentation, brand, and advice account for as much as 98% of this explained variance in Web site trust. Surprisingly, over 80% of the explained variance in Web trust is due to factors other than privacy and security-mainly navigation, brand, advice, absence of errors, and presentation. We also find that trust mediates the relationships between Web site and consumer characteristics and behavioral intent related to Web sites. The results offer important implications for Web site strategies that include the manipulation of factors influencing Web site trust to favorably impact consumer behavior at the Web site

International service variants: airline passenger expectations and perceptions of service quality

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.

Consumer preferences for Internet services over time: initial explorations

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.

Big Data and consumer behavior: imminent opportunities

Purpose – The purpose of this paper is to assess how the study of consumer behavior can benefit from the presence of Big Data. Design/methodology/approach – This paper offers a conceptual overview of potential opportunities and changes to the study of consumer behavior that Big Data will likely bring. Findings – 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. Research limitations/implications – 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 oth...

Consumer preferences for forthcoming innovations: the case of high definition television

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.

How marketing research affects cycle time: a case of the telecommunications industry

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.