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Recently, Internet activity by consumers adopting innovation or purchasing products has increased markedly. To understand this phenomenon, our study focuses on the correlation between purchase behavior and search activity. Utilizi...
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Recently, Internet activity by consumers adopting innovation or purchasing products has increased markedly. To understand this phenomenon, our study focuses on the correlation between purchase behavior and search activity. Utilizing the product classifications established in previous studies, we classify physical products into durable, nondurable, and industrial goods. We then empirically analyze case studies to determine the correlation between Internet searches and product purchases. Our research results show that the correlation between sales and search traffic is more significant for consumer goods than for industrial goods; furthermore, in the consumer goods category, search traffic is a particularly strong predictor of sales in the case of consumer durable goods. These results may be self-evident, implicit in the definition of each product category. However, the presented findings confirm that even among nondurable goods, search traffic can be a significant predictor of purchases, depending on both price and frequency of purchases. In contrast, for durable goods, search traffic may not be strongly indicative of actual purchases for new products, for which traffic simply reflects rising interest. We also show that PC searches are a stronger predictor of sales than mobile searches. The conclusions drawn from this study provide an important foundation for effectively using search statistics in technology business management to formulate marketing strategies as well as to forecast and analyze the adoption of new technology based on real-time monitoring of the changing involvement with each product. (C) 2016 Elsevier Inc All rights reserved.
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The continuous growth of e-commerce makes it critical for firms to understand consumers' search behavior so that e-commerce Web sites and the underlying information systems can be designed to better cater to consumers' needs. This...
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The continuous growth of e-commerce makes it critical for firms to understand consumers' search behavior so that e-commerce Web sites and the underlying information systems can be designed to better cater to consumers' needs. This paper extends the classic search model to analyze online consumer search behavior. The analytical results suggest how consumers' search depth is influenced by a variety of factors such as search cost, individual consumer difference, and product characteristics. Evidence is provided using clickstream data of online searches and purchases of music CDs, computer hardware, and airline tickets during the period from July 2002 to December 2002 collected by an Internet marketing company, ComScore Inc. Compared with the search depth reported in previous works, this study finds that consumers are searching more intensely before purchasing online. This reflects the evolution of Internet users and the growth of online retail business.
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This study examined the cross-cultural generalizability of the Theory of Planned Behavior (TPB) as applied to job seeking, by comparing samples of native Dutch and Turkish individuals in The Netherlands. Results support the equiva...
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This study examined the cross-cultural generalizability of the Theory of Planned Behavior (TPB) as applied to job seeking, by comparing samples of native Dutch and Turkish individuals in The Netherlands. Results support the equivalence of the measures used. Moreover, the TPB relationships are found to be comparable across the two samples. Contrary to the predictions, intentions of Turkish individuals are not affected more by subjective norms and less by job search attitudes than those of native Dutch individuals.
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This paper presents the results of a study of the utility of several popular search engines and of two newer search engines with respect to librarian-selected lists of Web resources and internet searching behaviors. This study add...
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This paper presents the results of a study of the utility of several popular search engines and of two newer search engines with respect to librarian-selected lists of Web resources and internet searching behaviors. This study addresses whether said resources are returned where internet searchers could reasonably be expected to find them and whether the search engines employed serve as acceptable substitutes for the expert advice of librarians. Search engines included in the study were Google, MSN.com, Yahoo, Lycos, AskJeeves, Icerocket, and Acoona. Searches for the study were based on the topics/titles of the “Internet Resources” columns from College and Research Libraries News for 2004. Finally, the paper addresses methodological concerns and proposes possible directions for further research.
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We introduce and test a behavioral model of consumer product search that extends a baseline normative model of sequential search by incorporating nonnormative influences that are local in the sense that they reflect consumers' und...
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We introduce and test a behavioral model of consumer product search that extends a baseline normative model of sequential search by incorporating nonnormative influences that are local in the sense that they reflect consumers' undue sensitivity to recently encountered alternatives. We propose two types of such local behavioral influences that, at each stage of a search process, can manifest themselves both in which of the products inspected up to that point is deemed to be the most preferred one (the product comparison decision) and whether to terminate the search at that stage (the stopping decision). The first of these influences is that consumers respond excessively to the attractiveness of the currently inspected product, at the expense of all others ("focalism"). The second proposed behavioral influence is that consumers overreact to the difference in attractiveness between the current product and the one encountered just prior to it ("local contrast"). Converging evidence from two experiments, which combine to guarantee both high internal and high external validity, provides support for the proposed behavioral influences. Our findings demonstrate that consumers' product comparison and stopping decisions in sequential product search are jointly governed by normative principles and by the proposed local behavioral influences.
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Current research on Web search has focused on optimizing and evaluating single queries. However, a significant fraction of user queries are part of more complex tasks [Jones and Klinkner 2008] which span multiple queries across on...
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Current research on Web search has focused on optimizing and evaluating single queries. However, a significant fraction of user queries are part of more complex tasks [Jones and Klinkner 2008] which span multiple queries across one or more search sessions [Liu and Belkin 2010; Kotov et al. 2011]. An ideal search engine would not only retrieve relevant results for a user's particular query but also be able to identify when the user is engaged in a more complex task and aid the user in completing that task [Morris et al. 2008; Agichtein et al. 2012]. Toward optimizing whole-session or task relevance, we characterize and address the problem of intrinsic diversity (ID) in retrieval [Radlinski et al. 2009], a type of complex task that requires multiple interactions with current search engines. Unlike existing work on extrinsic diversity [Carbonell and Goldstein 1998; Zhai et al. 2003; Chen and Karger 2006] that deals with ambiguity in intent across multiple users, ID queries often have little ambiguity in intent but seek content covering a variety of aspects on a shared theme. In such scenarios, the underlying needs are typically exploratory, comparative, or breadth-oriented in nature. We identify and address three key problems for ID retrieval: identifying authentic examples of ID tasks from post-hoc analysis of behavioral signals in search logs; learning to identify initiator queries that mark the start of an ID search task; and given an initiator query, predicting which content to prefetch and rank.
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This study examined the task type as an important factor in collaborative information seeking activities, devoting special attention to its impacts on collaborative information seeking behavior, awareness and sentiment. Collaborat...
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This study examined the task type as an important factor in collaborative information seeking activities, devoting special attention to its impacts on collaborative information seeking behavior, awareness and sentiment. Collaborative information search experiments were conducted on a collaborative search system-Coagmento-for three different types of task (informational, transactional and navigational). System log, surveys and semi-structured interviews were used to collect data, with quantitative and qualitative analyses carried out on the data which related to 12 participants in four groups. Quantitative analysis employed SPSS 20, while qualitative analysis was carried out using ATLAS.ti. Through our research, we found that the task types have impact on users' collaborative information seeking behavior in terms of web page browsing, search and image using, as well as interact with task awareness. A collaborative team approach is more suitable for completing the informational task than transactional and navigational tasks, while the task type also influences the sentiment. Concretely speaking, the transactional task causes more negative emotions.
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The main purpose of this paper is to explore Taiwanese firms' risk behavior when investing in China. Firms' investment decision-making in relation to risk propensity may be affected by its (1) aspiration performance, (2) looming b...
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The main purpose of this paper is to explore Taiwanese firms' risk behavior when investing in China. Firms' investment decision-making in relation to risk propensity may be affected by its (1) aspiration performance, (2) looming bankruptcy, (3) sound operating resource, and/or (4) investment behavior within an industry. There is no reason to believe that a consensus of risk behavior is shared among various industry sectors. Nevertheless, little empirical evidence exists on this issue in the academic world. Apart from risks associated with globalization, firms in Taiwan, unlike those of other nations, face very high political risk owing to the cross-strait political tension with China. Past researchers have taken variables such as innovation or R&D expenditure as proxies in testing the risk behavior of firms, and yet the reliability of these two variables to represent risk behavior remains arguable. The authors use China investment as the proxy for risk behavior of firms in Taiwan to study the decision-making behavior of two groups: One group in electronic and information technology (EIT) industry and another group in the nonelectronic and information technology (nonEIT) industry. Empirical results show that (1) China investment is significantly affected by peer investment; (2) the EIT firms are more aggressive in resource utilization; and (3) R&D expenditure has a significant positive relationship with China investments in Taiwanese firms with strong past performance.
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The Internet has significantly impacted the information search behavior of consumers. Many consumers regularly consult Internet sources for information on product categories, brands, manufacturers, and retailers, particularly when...
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The Internet has significantly impacted the information search behavior of consumers. Many consumers regularly consult Internet sources for information on product categories, brands, manufacturers, and retailers, particularly when making a purchase decision about major durable goods. Automobiles are one example of such goods. The Internet has become a major source for information on automobile brands, attributes, and dealers. While much research has been done on the impact of the Internet on automobile information search behavior and search costs, there is limited work on the relationship between Internet use and the ultimate automobile choice. This type of relationship may have interesting managerial implications for both manufacturers of automobiles and firms that provide information on automobiles. This paper attempts to address this gap. It examines whether Internet use is associated with different choice patterns for automobiles. Using discrete choice analysis on automobile choice data, we explore whether there will be differences in the salience of specific information types for online versus offline consumers. We find that Internet users rely more on ratings while non-Internet users rely more on recommendations when making automobile choices. Our findings have several useful managerial implications for information provision, both online and offline.
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We develop a prototypical stochastic model for a local search around a given home. The stochastic dynamic model is motivated by experimental findings of the motion of a fruit fly around a given spot of food but will generally desc...
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We develop a prototypical stochastic model for a local search around a given home. The stochastic dynamic model is motivated by experimental findings of the motion of a fruit fly around a given spot of food but will generally describe the local search behavior. The local search consists of a sequence of two epochs. In the first the searcher explores new space around the home, whereas it returns to the home during the second epoch. In the proposed two-dimensional model both tasks are described by the same stochastic dynamics. The searcher moves with constant speed and its angular dynamics is driven by a symmetric α-stable noise source. The latter stands for the uncertainty to decide the new direction of motion. The main ingredient of the model is the nonlinear interaction dynamics of the searcher with its home. In order to determine the new heading direction, the searcher has to know the actual angles of its position to the home and of the heading vector. A bound state to the home is realized by a permanent switch of a repulsive and attractive forcing of the heading direction from the position direction corresponding to search and return epochs. Our investigation elucidates the analytic tractability of the deterministic and stochastic dynamics.Noise transforms the conservative deterministic dynamics into a dissipative one of the moments. The noise enables a faster finding of a target distinct from the home with optimal intensity. This optimal situation is related to the noise-dependent relaxation time. It is uniquely defined for all α and distinguishes between the stochastic dynamics before and after its value. For times large compared to this, we derive the corresponding Smoluchowski equation and find diffusive spreading of the searcher in the space. We report on the qualitative agreement with the experimentally observed spatial distribution, noisy oscillatory return times, and spatial autocorrelation function of the fruit fly. However, as a result of its simplici
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