The phenomenon of sponsored search advertising—where advertisers pay a fee to Internet engines be displayed alongside organic (nonsponsored) Web results—is gaining ground as the largest source revenues for engines. Using unique six-month panel data set several hundred keywords collected from large nationwide retailer that advertises on Google, we empirically model relationship between different metrics such click-through rates, conversion cost per click, and ranking advertisements. Our paper...

The phenomenon of paid search advertising has now become the most predominant form online in marketing world. However, we have little understanding impact engine on consumers' responses presence organic listings same firms. In this paper, model and estimate interrelationship between advertisements. We use a unique panel data set based aggregate consumer response to several hundred keywords over three-month period collected from major nationwide retailer store chain that advertises Google....

We propose a structural model to study the effect of online product reviews on consumer purchases experiential products. Such are characterized by limited repeat purchase behavior same item (such as book title) but significant past usage experience with other products type books genre). To cope uncertainty in quality item, we posit that consumers may learn from their and others' experiences item. review credibility precision which reflect consumer's own evaluation. The higher precision, more...

A consumer's preference for an offering can be influenced by the preferences of others in many ways, ranging from social identification and inclusion to benefits network externalities. In this article, authors introduce a Bayesian spatial autoregressive discrete-choice model study interdependence among individual consumers. The specification reflect patterns heterogeneity which influence propagates within across networks. These cannot modeled with standard random-effect specifications...

Word-of-mouth (WOM) plays an increasingly important role in shaping consumers' attitudes and buying behaviors. Prior work marketing has mainly focused on the aggregate impact of WOM product sales as well generation WOM. Very little attention been paid to consumption or usage In this paper, utilizing a unique data set that collects information from automobile category whether consumer generates others uses for making purchase decisions, we build discrete-choice model study decisions...

Crowdsourcing contests are by which organizations tap into the wisdom of crowds outsourcing tasks to large groups people on Internet. In an online environment often characterized anonymity and lack trust, there inherent uncer

People consume products in a variety of environments. They drink beer, for example, by themselves, with close friends, on the beach, when playing cards, at tailgate parties, and while having dinner their boss. Within these environments, an individual may prefer Schaefer beer drinking alone, Budweiser party, Corona lying Heineken dining out. Preferences change across environments because benefits sought consumer change. Consumers feel thirsty they want to display refined tastes Moreover,...

The phenomenon of sponsored search advertising – where advertisers pay a fee to Internet engines be displayed alongside organic (non-sponsored) web results is gaining ground as the largest source revenues for engines. Using unique 6 month panel dataset several hundred keywords collected from large nationwide retailer that advertises on Google, we empirically model relationship between different metrics such click-through rates, conversion cost-per-click, and ranking advertisements. Our paper...

Utility maximizing solutions to economic models of choice for goods with either discrete quantities or non-linear prices cannot always be obtained using standard first-order conditions such as Kuhn-Tucker and Roy's identity. When are discrete, there is no guarantee that derivatives the utility function equal budget constraint. Moreover, when nonlinear, in case quantity discounts, can associated minimum rather than maximum value utility. In these cases, must directly evaluated determine its...

When making product choices, consumers are influenced by the preferences of other consumers, such as family members, friends, neighbors, and colleagues. Preference interdependence among members is likely to be significant because cohabitation strong emotional ties. To estimate preference interdependence, we specify a simultaneous equation model propose Bayesian estimation approach. Unlike existing models that use spatial autoregressive structure capture consumer preferences, able potential...

In this article, the authors propose a Bayesian method for estimating disaggregate choice models using aggregate data. Compared with existing methods, advantage of proposed is that it allows analysis microlevel consumer dynamic behavior, such as impact purchase history on current brand choice, when only aggregate-level data are available. The essence approach to simulate latent consistent observed When augmented made available in each iteration Markov chain Monte Carlo algorithm, dynamics...

Aim This study aimed to explore the effect of organisational innovation climate on nurse behaviour and mediating role psychological empowerment. Background Encouraging nurses generate more innovative behaviours has become an important development direction for improving quality nursing services. Method We employed a self-report questionnaire collect data in Jinan City, China. A total 2018 valid surveys were obtained. Hierarchical multiple regression model analysis was conducted test...

The phenomenon of paid search advertising has now become the most predominant form online in marketing world. However, we have little understanding impact engine on consumers' responses presence organic listings same firms. In this paper, model and estimate inter-relationship between advertisements using a unique panel dataset based aggregate consumer response to several hundred keywords over three months collected from major nationwide retailer store chain that advertises Google....

Commonly, a coupon can be applied to one of several vertically differentiated products sold at different prices within the same product line brand. With such product-line coupon, consumers need decide on specific buy, resulting in levels consumer spending. One field data set and four lab experiments demonstrate that relationship between face value spending level may not always intuitively positive; under certain circumstances, it could take an inverted U-shape. The authors develop...

In this paper, we develop a simultaneous model of consumer brand choice and negotiated price in the highly relevant marketing context automobile transactions. Consumer is modeled as multinomial probabilistic outcome, individual consumer-level transaction to be consistent with Nash bargaining solution. Our introduces natural way account for endogeneity microlevel setting when paid specific correlated idiosyncratic preference buyer. It also accounts potential selectivity bias studying by...

The phenomenon of sponsored search advertising - where advertisers pay a fee to Internet engines be displayed alongside organic (non-sponsored) web results is gaining ground as the largest source revenues for engines. Despite growth advertising, we have little understanding how consumers respond contextual and on Internet. Using unique panel dataset several hundred keywords collected from large nationwide retailer that advertises Google, empirically model relationship between different...

Quantitative models in marketing typically focus on the household as unit of analysis while ignoring individual family members' behavior and behavioral interactions among members. However, knowledge such intrahousehold interaction enables marketers to target their communications more effectively. In this article, authors propose a modeling framework capture based actual consumption over time. The develop model multiple agents' (more than two individuals') simultaneous choice decisions...

Carbon peaking in the transportation industry is of great significance to achieving goals carbon peaks and neutrality. By correcting energy consumption data Shaanxi province’s China, adding non-operating vehicles total consumptions building a more accurate calculation model for emissions provincial industry, this paper studies contribution population size, economic growth, intensity, structure, industrial scale emissions, respectively, through construction Logarithmic Mean Divisia Index...