Consumer purchase decisions
-
Lecture Electronic commerce - Chapter 4: Consumer behavior, market research, and advertisement learning objectives: Describe the factors that influence consumer behavior online. Understand the decision-making process of consumer purchasing online. Describe how companies are building one-to-one relationships with customers. Explain how personalization is accomplished online. Discuss the issues of e-loyalty and e-trust in EC. Describe consumer market research in EC.
55p caphesuadathemtac 09-11-2021 28 4 Download
-
The research focuses on consumer intentions for eWOM and purchase in the period of internet connection. Therefore, targeted objects are identified as individual consumers from over 18 years of age, who are currently using social networks or online communication platforms, and can independently making purchase decision (called for connected spenders).
24p trinhthamhodang1217 14-01-2021 34 3 Download
-
This study employs Conjoint Analysis to ask to know the preference of Women in Cars. Results of the study are discussed with future directions for research.
11p lucastanguyen 01-06-2020 16 4 Download
-
Increasing disposable income of the consumers has transformed the buying pattern to a greater extent. Before shopping by people was very rare phenomenon but nowadays shopping is part and parcel of most of the households in which shoppers spend substantial amount on impulse buying.
5p guineverehuynh 17-06-2020 28 4 Download
-
Changing market dynamics has led to Consumerization of Indian Automobile Industry posing innumerable challenges for the car manufacturers. The demand in the industry today is not just for a car as a product but a bundled “experience package.”
11p guineverehuynh 21-06-2020 44 4 Download
-
This paper, attempts to study empirically the extent to which merchandising and pricing strategies formulated, affect the consumer purchase decisions. A Survey of 366 valid data was examined using PLS-SEM (Partial Least Squares Structural Equating Modelling).
10p guineverehuynh 21-06-2020 32 5 Download
-
Opinions by other consumers influences considerably on consumers’ buying decisions as well as on post-purchase product perceptions. This is called word of mouth (WOM) and it is assumed to be more efficient than conventional marketing tools like advertising and personal selling.
9p guineverehuynh 21-06-2020 36 2 Download
-
The main goal of this study is to investigate the classification capability of several machine learning (ML) techniques, including decision tree (DT), multilayer perceptron (MLP) network, Naïve Bayes, radial basis function (RBF) network, and support vector machine (SVM) for predicting purchase decisions.
10p tohitohi 22-05-2020 48 4 Download