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Electronic-commerce has become an important channel for conducting business. Researchers as well as market executives are trying to better understand online consumer behavior. One model used by researchers to understand behavior in the information systems field in general is the technology acceptance model (TAM). The TAM variables are perceived usefulness, perceived ease of use, and intentions. In this study, we suggest the extension of the TAM for its application in the E-commerce field. The original TAM will be extended, by adding four predictor variables. The four predictor variables are process satisfaction, outcome satisfaction, expectations, and E-commerce use. In addition, the TAM will be extended by measuring actual behavior as opposed to measuring intentions as a substitute for actual behavior in previous TAM application studies. We suggest measuring actual use variable in terms of four criterion variables, namely, purchase, access number, access total time, and access average time. The extended TAM is expected to better explain actual behavior in E-commerce environments than the original TAM.

Do personalized offerings enabled by big data only bring economic benefits to firms but not to consumers? In this paper, we seek to address this question by examining a particular category of personalized offerings provided by algorithmic product recommendation systems. While the economic value of algorithmic product recommendations to firms is mostly understood, their benefits to consumers are not well quantified in the literature. We conduct a randomized field experiment on an apparel retailer’s website in the US to estimate the benefits of recommendations to consumers. We find that recommendations helped consumers discover lower-priced products on the website, which results in a higher probability of product purchase (lower likelihood of failed search efforts) and a lower price of purchased products. Specifically, an additional recommended product page view due to recommendations leads to a 15 percent increase in purchase probability and a $1.59 decrease in the purchase price. The product recommendations are particularly beneficial to consumers for product categories with a higher relative price dispersion and a higher proportion of niche products. Due to these benefits, consumers substitute 0.14 keyword search page views and 0.63 product category page views for each recommended product page view under recommendations. The recommendations generated a surplus of $56,631 (3.8 percent of the total sales), two-thirds of which the retailer captured as additional revenue, and the remaining one-third the consumers as price savings.

In this paper, we develop and test a behavioral theory of lost leadership. Using insights from the literature on goals as reference points and prospect theory, we predict that former leaders exert more effort compared to otherwise identical competitors. We test this prediction using two contexts. The first, quasi-laboratory, data comes from an educational business game. The second setting draws on field data from a two-month banking sales contest. We find that provision of effort increases following the loss of leadership. We also explore whether past leaders exert more effort in general or simply shift effort from other, potentially less-salient goals. We find evidence of both mechanisms. Finally, we investigate the temporal effects and find that having been a leader has an attenuating effect on subsequent behavior.

This paper develops a method to flexibly adapt interpolation grids of value function approximations in the estimation of dynamic models using either NFXP (Rust, Econometrica: Journal of the Econom etric Society, 55, 999– 1 033, 1987) or MPEC (Su & Judd, Econometrica: Journal of the Econometric Society, 80, 2213–2230, 2012). Since MPEC requires the grid structure for the value function approximation to be hard-coded into the constraints, one cannot apply iterative node insertion for grid refinement; for NFXP, grid adaption by (iteratively) inserting new grid nodes will generally lead to discontinuous likelihood functions. Therefore, we show how to continuously adapt the grid by moving the nodes, a technique referred to as r-adaption. We demonstrate how to obtain optimal grids based on the balanced error principle, and implement this approach by including additional constraints to the likelihood maximization problem. The method is applied to two models: (i) the bus engine replacement model (Rust, 1987), modified to feature a continuous mileage state, and (ii) to a dynamic model of content consumption using original data from one of the world’s leading user-generated content networks in the domain of music.

When people experience threats to important aspects of their self-concept (e.g., power, intelligence, sociability), they often compensate by consuming products that symbolize success, mastery, or competence on the threatened self-domain (within-domain compensatory consumption). Our research examines whether such compensatory consumption is effective in repairing the self-concept. Across seven experiments, we show that whether compensatory consumption is effective depends on the extent to which the connection between the compensatory products and the threatened domains is made explicit. When the connections are made explicit (e.g., through product names and marketing slogans), self-repair is impeded, but when the connections are only implicit (product is inherently symbolic of self-threat domain), self-repair can be successful. We further show that these differential effects of product connection explicitness are mediated by rumination: explicit connections induce rumination about the self-threat, which undermines self-repair, whereas implicit connections cause no rumination, facilitating self-repair. Our research provides a reconciliation of conflicting findings on self-repair in previous research, and also shows that despite the differences in efficacy, consumers compensate regardless of whether product connections are implicit or explicit, which has implications for consumer well-being.

Although the level of power held by the marketing department can determine key organizational outcomes, including firm performance, this power often is modest and, in many firms, diminishing. To address this apparent disconnect, the authors propose that the board of directors is a critical but overlooked driver of marketing department power. In particular, directors’ marketing exposure through board service at other firms (i.e., board-interlocked firms) may affect the marketing department’s power in the firms on whose boards they also serve. With a sample of 4,422 firms, spanning 2007–2013, this study reveals that marketing department power in board-interlocked firms significantly and positively drives marketing department power in the focal firms. Consistent with an information sharing view, the magnitude of this effect varies with the focal firm’s network position in the board-interlocked network, such that it strengthens as the focal firm’s network centrality (information amount) and network brokerage (information quality) increase. These robust results suggest that board members and their social networks significantly influence marketing department power; if marketing wants to increase its power, it should get the board “on board.”

While single-brand reward programs encourage customers to remain loyal to that one brand, coalition programs encourage customers to be “promiscuous” by offering points redeemable across partner stores. Despite the benefits of this “open relationship” with customers, store managers face uncertainty as to how rewards offered by partners influence transactions at their own stores. We use a model of multi-store purchase incidence to show how the value of points shared among partner stores can explain patterns in customer-level purchases across them. The model is used to empirically test hypotheses on how reward spillovers among partners are driven by: (1) differences in policies on reward redemption, (2) the overlap in product categories between stores, and (3) geographic distance between stores within a city. In addition, we leverage variation generated by a natural experiment, i.e., a devaluation of the program's points, to demonstrate how the value of points influences the positioning of partner stores within the coalition and the purchasing patterns across them. We conclude by delineating some managerial implications for the design of a coalition's reward policies, including a simulation showing that customer-centric targeted rewards can be an effective strategy to compensate for the devaluation.

Online crowdfunding is a popular new tool for raising capital to commercialize product innovation. Product innovation must be both novel and useful (1-4). Therefore, we study the role of novelty and usefulness claims on Kickstarter. Startlingly, we find that a single claim of novelty increases project funding by about 200%, a single claim of usefulness increases project funding by about 1200%, and the co-occurrence of novelty and usefulness claims lowers funding by about 26%. Our findings are encouraging because they suggest the crowd strongly supports novelty and usefulness. However, our findings are disappointing because the premise of crowdfunding is to support projects that are innovative, i.e. that are both novel and useful, rather than projects that are only novel or only useful.

This paper reviews several streams of research on market category formation. Most past research has largely focused on established category systems and the antecedents and consequences of categorical positioning (i.e., categorical purity vs. spanning; combination vs. replacement) but relatively ignored the formative processes leading to new categories. In this review, we address this lacuna to posit that scholarship would benefit from clearly disentangling category emergence from category creation. We analytically describe the differences between the two and elaborate the boundary conditions that guide and define which process is more likely to occur in a given market. Our review contributes to illuminating the role of organizational agency and strategic actions in market categories and their formation, which deserve greater attention as a result of their theoretical and practical implications.

International audience; The digital economy has now a widespread impact on the whole economy and leads companies to transform and adopt new competition rules. The objectives of this paper are (1) to analyze these evolutions; and (2) to understand the role of information systems in these changes. The authors have investigated two opposite environments: a pure Internet player selling a SaaS offering, and a traditional business that distributes products through a physical network of thousands of outlets. Our results show that both the Internet players and traditional companies experience changes in the industry value chain, a growing importance of services, and develop new business models focused on an extended value proposition and cooperation with customers. The role of information systems is characterized by the evolution of the IT infrastructure, the expansion of inter-organizational information systems and digital platforms and the development of new IT capabilities.

Previous research suggests that when social exclusion is communicated in an explicit manner, consumers express preferences for helping, whereas when it is communicated in an implicit manner, they express preferences for conspicuous consumption. However, this may not always hold true. In the present research, we put forward a theoretical framework explaining that exclusion effects depend on the extent to which exclusion is communicated in a culturally normative or counter-normative manner, rather than whether it is communicated in an explicit or implicit manner. We show that exclusion communicated in a cultural norm-congruent manner produces preferences for helping, whereas exclusion communicated in a cultural norm-incongruent manner produces preferences for conspicuous consumption. We further show that the differential needs—self-esteem and power threatened by normative and counter-normative exclusion explain these distinct preferences.

In incentive-alignment choice experiments, each decision is realized with some prob- ability prob < 1. Incentive alignment induces truth telling, i.e., respondents do not consciously lie, given the information they have processed. However, based on the psychological distance literature and the bounded rationality literature, we predict that prob < 1 is not necessarily enough to induce consumers to process information and choose as they would if choices were realized with certainty (prob = 1). In three eye tracking experiments, we vary the probability prob that choices will be realized, from 0 to 1, and study the impact on attention, information processing, and choice. Consistent with our hypotheses, we find that as prob is increased from 0 to 1, consumers: process the choice-relevant information more carefully and in a way that is more consistent with a compensatory decision process; become less novelty seeking; become more price sensitive. These findings have implications for the ecological validity of incentive-aligned preference measurement surveys. While it is not feasible to systematically use questions with high prob in the eld, we further predict and find that placing a higher-probability question (such as an external validity task) at the beginning rather than the end of a questionnaire has a desirable carryover effect on attention, information processing and choice throughout the questionnaire.