Article Critique on "Passyn, K., Diriker, M., & Settle, R"

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Passyn, K., Diriker, M., & Settle, R. (2011). Images of online vs. store shopping: Have the attitudes of men and women, young and old really changed? Journal of Business & Economics Research, 9(1), 99-110.

Benedicktus, R., Brady, M., Darke, P., & Voorhees, C. (2010). Conveying trustworthiness to online consumers: Reactions to consensus, physical store presence, brand familiarity, and generalized suspicion. Journal of Retailing, 86(4), 310-323.

Rajamma, R.K., Paswan, a.K., & Hossain, M. M. (2009). Why do shoppers abandon shopping cart? Perceived waiting time, risk, and transaction inconvenience. The Journal of Product and Brand Management, 18(3), 188-197.

To what degree do visions of difficulty, confusion, or frustration inhibit adoption of online purchasing?

Does manipulating generalized suspicion provide an especially challenging test for the effectiveness of consensus and brand cues in reassuring consumers, and also allows for the examination of a potential boundary condition?

Is convenience a critical factor in determining consumer behavior in general, is it considered as one of the most important predictors for the choice of online shopping?

Data-based marketing, catalogers and other direct marketers are well positioned to move quickly and effectively to online consumer marketing. As such, they intensify the threat they already pose to traditional, store merchandisers.

A measurement model was assessed using confirmatory factor analysis (CFA) and the results suggested that the measurement model offered good fit to the data (?2 = 132.33; df = 51

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; CFI = .99; TLI = .99; SRMR= .019).

After initial scrutiny of the data, 13 respondents were eliminated as they were not online shoppers. Selfadministered electronic questionnaires were used to collect the data for the study. The online methodology is appropriate for this research as online customers provide the sampling frame for this study.

Table 1 displays the demographic distributions of response for the entire sample. The similarities of proportions of respondentsof each sex reflect the sample quota specifications. The convenience sample of respondents tended to be more educated, affluent, and engaged in more up-scale occupations than the general population from which it was drawn.

The ANOVAs indicated significant main effects of the consensus manipulation on each measure (ps < .001). Scheffe's multiple comparisons indicate support for H1a -- c; higher consensus led to greater trust and higher purchase intentions.

Using split samples, the data was tested to ensure that the results are not affected by non-response error. Analysis of the demographic variables showed that there are no significant differences between genders, income categories or age categories with respect to their propensity to abandon shopping cart. For further analyses, composite score for each factor was computed.

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In "Conveying trustworthiness to online consumers: Reactions to consensus, physical store presence, brand familiarity, and generalized suspicion" the article discusses the competition etailers face from businesses that not only have websites, but also actual stores for customers to go into. Chains like Walmart are giving sites like Amazon and Ebay a decrease in sales due to having two versions of availability. So two studies have been made to investigate and research how etailers can give the impression of trust and reliability to consumers which will give increase to sales or desire to purchase in relation to their hybrid counterparts. Study 1 evaluates whether "consensus information (i.e., the extent of satisfaction agreement among previous customers) and brand familiarity exert independent or interactive effects on consumer perceptions across retailers that possess, or lack, a physical presence." (Benedicktus, Brady, Drake & Voorhees 2010) Study 2 attempts to test "a potential boundary condition of the effects of consensus information and brand familiarity by introducing generalized suspicion, which is a common condition for online buyers."(Benedicktus, Brady, Drake & Voorhees 2010)

The results specifically in the article presented manipulation checks that determined the manipulations were successful. In terms of the consensus manipulation, 97.2% of subjects recalled correctly the consensus scores within four percentage points of the manipulated figure. There was testing done in respect to the etailers and… READ MORE

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Quoted Instructions for "Passyn, K., Diriker, M., and Settle, R" Assignment:

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Read the following 3 empirical articles and summarize the articles using the table illustrated above. Then write a 3 pages critique of the use of regression and/or ANOVA used in one of the following articles.

Passyn, K., Diriker, M., & Settle, R. (2011). Images of online versus store shopping: Have the attitudes of men and women, young and old really changed? Journal of Business & Economics Research, 9(1), 99-110.

Benedicktus, R., Brady, M., Darke, P., & Voorhees, C. (2010). Conveying trustworthiness to online consumers: Reactions to consensus, physical store presence, brand familiarity, and generalized suspicion. Journal of Retailing, 86(4), 310-323.

Rajamma, R.K., Paswan, A.K., & Hossain,M. M. (2009). Why do shoppers abandon shopping cart? Perceived waiting time, risk, and transaction inconvenience. The Journal of Product and Brand Management, 18(3), 188-197.

Case assignment expectations

This case assignment will help you better understand how to summarize the literature relevant to a specific topic in a succinct way. This practice is usually the first step to integrate the literature for a research project. Usually the number of articles increases as the literature review goes in depth. Therefore, it is a good practice to organize the relevant articles in tables to help you quickly refer to the appropriate articles.

As noted, a critique is a review and commentary on a particular article or piece of research. It is not necessarily critical in the negative sense, although you may need to comment negatively on some aspects; both positive and negative aspects should be treated. Just because something appears in print, even in an A-list journal, does not make it free from possible errors or beyond criticism; nothing should be necessarily taken at face value. Your informed commentary and analysis is as important as your summary of the material in the article -- simply repeating what the article says does not constitute an adequate critique. You are also expected to use the terminology of path analysis and regression correctly and clearly.

In this case, your critique should address at least the following issues, as well as any other points that you find relevant and worthy of comment:

*****¢ The degree to which the data and an*****s in these studies systematically relate to the research questions being asked

*****¢ The correspondence between the data and the an*****s suggested by Cottingham et al. (2003).

*****¢ The reasons why regression and ANOVA continue to be described as largely separate models in most statistics texts and used as largely separate analysis procedures with a number of different formatting arrangements and even different reported coefficients in most statistical packages, including SPSS

*****¢ The difference between effect size and statistical significance, which we have touched on in earlier modules as well (note that there are somewhat different effect size coefficients for ANOVA and regression, although they can both be standardized to a measure like Cohen*****s d).

*****¢ How research courses such as this should approach the difference (if any) between the two procedures, and any suggestions you can make about ways in which the overall teaching of the general linear model could be improved to make it more comprehensible to you, and presumably to others.

*****¢ On the basis of your reading and observations and experience to date, which techniques are best adapted to the kinds of research questions with which you may be concerned when you approach your dissertation? Why?

Remember, this is an applied statistics course. Thus, explaining the statistical tools, interpreting coefficients, and understanding the properties of the data analysis are particularly important, and need your careful thought and comment, not just general or generic observations.

You are expected to present your critique in appropriate academic form and language, with citations to the readings where needed.

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How to Reference "Passyn, K., Diriker, M., and Settle, R" Article Critique in a Bibliography

“Passyn, K., Diriker, M., and Settle, R.” A1-TermPaper.com, 2012, https://www.a1-termpaper.com/topics/essay/passyn-k-diriker-m/5045170. Accessed 4 Oct 2024.

Passyn, K., Diriker, M., and Settle, R (2012). Retrieved from https://www.a1-termpaper.com/topics/essay/passyn-k-diriker-m/5045170

A1-TermPaper.com. (2012). Passyn, K., Diriker, M., and Settle, R. [online] Available at: https://www.a1-termpaper.com/topics/essay/passyn-k-diriker-m/5045170 [Accessed 4 Oct, 2024].

”Passyn, K., Diriker, M., and Settle, R” 2012. A1-TermPaper.com. https://www.a1-termpaper.com/topics/essay/passyn-k-diriker-m/5045170.

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[1] ”Passyn, K., Diriker, M., and Settle, R”, A1-TermPaper.com, 2012. [Online]. Available: https://www.a1-termpaper.com/topics/essay/passyn-k-diriker-m/5045170. [Accessed: 4-Oct-2024].

1. Passyn, K., Diriker, M., and Settle, R [Internet]. A1-TermPaper.com. 2012 [cited 4 October 2024]. Available from: https://www.a1-termpaper.com/topics/essay/passyn-k-diriker-m/5045170

1. Passyn, K., Diriker, M., and Settle, R. A1-TermPaper.com. https://www.a1-termpaper.com/topics/essay/passyn-k-diriker-m/5045170. Published 2012. Accessed October 4, 2024.