The Sleepy Consumer and Variety Seeking

Huang, Zhongqiang; Liang, Yitian; Weinberg, Charles B.; Gorn, Gerald J.

doi:10.1177/0022243718811334

Cited by 29 publications

(32 citation statements)

References 76 publications

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“…This study used topic modeling in machine learning to measure variety-seeking behavior in UGCs production. Existing studies have proposed various methods to measure variety-seeking in the domain of traditional products; the common method is to select the number of brands that do not repeat in a certain number of products ( Levav and Zhu, 2009 ; Huang et al, 2019 ). However, as UGCs are text, previous methods are difficult and inappropriate for measuring the variety of UGCs.…”

Section: Discussionmentioning

confidence: 99%

“…Previous research has put forward many methods to measure the variety-seeking in consuming or buying products; one of the most commonly used measurements is to measure the number of non-repeating brands in a certain number of products ( Levav and Zhu, 2009 ; Huang et al, 2019 ). But the number of products is structured data and UGCs are unstructured data and often in the millions, even hundreds of millions, which means the previous measurement of variety-seeking are not applicable.…”

Section: Methodsmentioning

confidence: 99%

“…This is because the body temperature is lower in the morning, along with a low level of arousal, which leads to a low need for variety. Huang et al (2019) showed that if consumers feel sleepy, they will require arousal, and variety can provide stimulation; then, sleepy consumers will show variety-seeking behaviors in consuming or buying.…”

Section: Variety-seekingmentioning

confidence: 99%

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Why Are User-Generated Contents So Varied? An Explanation Based on Variety-Seeking Theory and Topic Modeling

Wei

Liu

et al. 2022

Front. Psychol.

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In online communities, such as Twitter, Facebook, or Reddit, millions of pieces of contents are generated by users every day, and these user-generated contents (UGCs) show a great variety of topics discussed that make the online community vivid and attractive. However, the reasons why UGCs show great variety and how a firm can influence this variety was unknown, which had been an obstacle to understanding and managing UGCs’ variety. This study fills these two gaps based on variety-seeking theory and topic modeling, which is a technique in machine learning. We extract, quantitatively, the topic of the UGCs using topic modeling and divide UGCs into two types: single topic and multiple topics. The user’s tendency to choose the type of UGC is used to measure variety-seeking behavior. We found that users have an intrinsic preference for variety when producing UGCs; the more single topic UGCs were produced in the past, the higher the probability of producing multiple topics UGC and the lower the probability of producing single topic UGC would be in the next, and vice versa. Furthermore, we discussed the effect of language/linguistic style matching (LSM) between firm feedbacks and UGCs on users’ variety-seeking tendencies in UGCs’ production. This study makes three contributions: (1) broadening variety-seeking theory to new behavior, that is content production behavior, and the results demonstrated that people would show a variety-seeking behavior in producing UGCs. (2) a new feasible method to measure the variety of UGCs by using topic modeling to extract the topics of UGCs and then measure the variety-seeking behavior in producing UGCs by analyzing the choice between single topic and multiple topics. (3) guidance for the firm to alter LSM of feedbacks to influence the variety of UGCs.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Variety-seekingmentioning

confidence: 99%

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Why Are User-Generated Contents So Varied? An Explanation Based on Variety-Seeking Theory and Topic Modeling

Wei

Liu

et al. 2022

Front. Psychol.

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“…The attractiveness of a hypothesis stems from the type of effects that are examined. For instance, interaction effects are far more exciting than main effects, as they consider the complexity of investigated phenomena; therefore, they are frequently encountered in manuscripts submitted to highly ranked journals (Huang, Liang, Weinberg, and Gorn, 2019).…”

Section: Conceptual Backgroundmentioning

confidence: 99%

Academic Research on Marketing in Central and Eastern Europe: A Comparative Analysis of Scholarly Papers Published in Polish versus International Journals

Karpińska-Krakowiak¹,

Rudawska²,

Mróz-Gorgoń³

et al. 2021

ERSJ

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Purpose: Poland, as one of the largest countries in Central and Eastern Europe, is still in its early stages when it comes to scholarly development, particularly in the field of marketing. Even though Polish marketing scholars have been improving their research accomplishments for years now, they are still learning how to publish their work in highly ranked journals and how to make their work attractive to international audiences. This study was therefore designed to gain insights into scholarly practice of preparing manuscripts in Poland and to compare them with publications in highly ranked international journals. Design/Methodology/Approach: A content analysis was conducted on a sample of 93 papers taken from two distinctive publishers (i.e., 48 papers published in a Polish journal versus 45 manuscripts drawn from an international journal with a moderate impact factor). Findings: Our content analysis allowed to assess the methodology behind academic papers published in both outlets. The results reveal systematic differences between the papers, and they show how the manuscripts vary on many levels (including research design, data analysis and conceptual backgrounds). Practical Implications: This study could be potentially helpful for Polish scholars, as well as scholars from other emerging European markets, in increasing their chances to get their work published in good journals. Originality/Value: This is the first empirical attempt to investigate the quality of research in one of the largest countries from Central and Eastern Europe (Poland), and to make comparisons with more advanced scholarly markets. Prior studies on scientific excellence and research evaluation referred mostly to bibliometrics. Little has been done, however, to examine qualitative aspects of research practices in various countries.

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“…The pattern of switching among brands can be induced by manipulation of marketing variables by the desire for variety [16,15]. After the inventory of product is running out, customers may purchase other brands (consider as variety-seeking behavior).…”

Section: The Model Extensionmentioning

confidence: 99%

Extending the Queue Question to Customer Purchase Rate to Predict the Probability of Customer Inactive

Huang¹

2019

AJDMKD

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In the rapidly changing market, there is a never-ending sequence of marketing actions and competitive reactions. Customer may consume much volume to stockpile more than they need when the price promotion or some benefit that retail gives. Thus this paper explores the customer purchase rate, the speed of product consumption and the inactive probability with extending queue model. A real data set from the customer purchase behavior in two electronic business retailers website includes purchase volume, the duration of customer consumption (which is the interpurchase time between purchase behavior with the same product in the same brand) and the duration of variety-seeking (which is defined as customer purchase the same categories but different brand of product) to estimate the parameters and calculate the expectation value of product consumption and product stockpile volume. This result can make application for other industries such as e-commerce.

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The Sleepy Consumer and Variety Seeking

Cited by 29 publications

References 76 publications

Why Are User-Generated Contents So Varied? An Explanation Based on Variety-Seeking Theory and Topic Modeling

Why Are User-Generated Contents So Varied? An Explanation Based on Variety-Seeking Theory and Topic Modeling

Academic Research on Marketing in Central and Eastern Europe: A Comparative Analysis of Scholarly Papers Published in Polish versus International Journals

Extending the Queue Question to Customer Purchase Rate to Predict the Probability of Customer Inactive

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