𝔖 Bobbio Scriptorium
✦   LIBER   ✦

The influence of internet-retailing factors on price expectations

✍ Scribed by Dhruv Grewal; Jeanne L. Munger; Gopalkrishnan R. Iyer; Michael Levy


Publisher
John Wiley and Sons
Year
2003
Tongue
English
Weight
167 KB
Volume
20
Category
Article
ISSN
0742-6046

No coin nor oath required. For personal study only.

✦ Synopsis


Abstract

Internet retailing has significantly changed the character of retail competition. More and more often, ordinary consumers, not just the technologically savvy ones, are making purchases over the Internet. The extent to which e‐tailers can build trust will significantly influence the willingness of consumers to make purchases over the Internet. As a result, it is important to better understand the factors that influence consumers' trust in e‐tailers. This research models the effects of store name, on‐line security guarantee, and money‐back guarantee on price expectations and willingness to buy. The results suggest that value‐enhancing approaches, like assurances of security encryption and money‐back guarantees, are more important for less well‐known e‐tailers than for their more famous competitors. © 2003 Wiley Periodicals, Inc.


📜 SIMILAR VOLUMES


When do high-level managers believe they
✍ Benjamin B. Dunford; Wendy R. Boswell; John W. Boudreau 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 176 KB

## Abstract Stock based rewards are often used to motivate high‐level managers to take actions to increase the stock price of the firm. However, numerous constraints may weaken the perceived link between individual effort and stock price appreciation for many recipients. This study introduces a new

The Influence of Personal Expectations o
✍ George J. Wan; Michael A. Counte; David F. Cella 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 136 KB 👁 3 views

The role of personal expectations on reports of health-related quality of life (HRQL) in the context of a set of other variables commonly thought to affect patient report of HRQL was examined. The complete set of predictor variables included: (1) patient factors including age, gender, race, educatio