Drivers of autonomous vehicles-analyzing consumer preferences for self-driving car brand extensions

Autonomous cars are considered to be the next disruptive innovation that will affect consumers. It can be expected that not only traditional automakers will enter this market (e.g., Ford) but also technology companies (e.g., Google) and newer companies dedicated to self-driving cars (e.g., Tesla). We take a brand extension perspective and analyze to what extent consumers prefer autonomous cars from these brand categories. Our empirical study is based on discrete choice experiments about adopting autonomous vehicles in a purchase scenario and in a renting context. Our findings show that brands play a central role when making autonomous driving decisions. Brand preferences differ systematically when buying versus renting a self-driving car. While technology brands are most preferred overall, consumers favor automaker brands over new brands only when purchasing, not when renting. We further disentangle the brand strength into the marginal effects of image associations. For example, Google's strong brand positioning can be explained by experiences with the parent brand, but it could still improve brand strength by highlighting the relevance of the associated brand portfolio for self-driving cars. The effect of these brand extension success factors differs between parent-brand categories and also between the renting and purchasing scenarios, which requires a dedicated brand management

Spatial correlations of singularity strengths in multifractal branching processes

The n-point statistics of singularity strength variables for multiplicative branching processes is calculated from an analytic expression of the corresponding multivariate generating function. The key ingredient is a branching generating function which can be understood as a natural generalisation of the multifractal mass exponents. Various random multiplicative cascade processes pertaining to fully developed turbulence are discussed.Comment: REVTeX, 18 pages, 5 PS figs, submitted to PR

Measuring Welfare with Massive Online Choice Experiments: A Brief Introduction

GDP is a measure of production, and yet it is widely used as a proxy for well-being. It is particularly ill-suited for assessing the contributions of digital goods which are free to consumers and thus excluded from GDP measures. This underscores the need to develop new measures of well-being which can assess not only the contributions of digital goods but also welfare more generally. In Brynjolfsson, Eggers, and Gannamaneni (2017), we propose a new way of measuring consumer welfare using massive online choice experiments. This brief paper motivates the need for such an approach and introduces the method

The Strategic Implications of Scale in Choice-Based Conjoint Analysis

Choice-based conjoint (CBC) studies have begun to rely on simulators to forecast equilibrium prices for pricing, strategic product positioning, and patent/copyright valuations. Whereas CBC research has long focused on the accuracy of estimated relative partworths of attribute levels, predicted equilibrium prices and strategic positioning are surprisingly and dramatically dependent on scale: the magnitude of the partworths (including the price coefficient) relative to the magnitude of the error term. Although the impact of scale on the ability to estimate heterogeneous partworths is well known, neither the literature nor current practice address the sensitivity of pricing and positioning to scale. This sensitivity is important because (estimated) scale depends on seemingly innocuous market-research decisions such as whether attributes are described by text or by realistic images. We demonstrate the strategic implications of scale using a stylized model in which heterogeneity is modeled explicitly. If a firm shirks on the quality of a CBC study and acts on incorrectly observed scale, a follower, but not an innovator, can make costly strategic errors. Externally valid estimates of scale are extremely important. We demonstrate empirically that image realism and incentive alignment affect scale sufficiently to change strategic decisions and affect patent/copyright valuations by hundreds of millions of dollars

Drivers of internationalization success:a conjoint choice experiment on German SME managers

Internationalization is a common growth strategy for small and medium-sized enterprises (SMEs). However, SMEs face several challenges within the internationalization process. As SMEs are characterized by limited resources, managers are constantly involved in a decision-making process concerning the allocation of the SMEs' resources. Therefore, internationalization can be understood as a complex, multidimensional decision process. Based on a set of 2244 internationalization decisions made by German SME managers, the present study examines how eight strategic and structural factors drive the perceived international success of SMEs. When applying conjoint choice analysis, the results suggest that especially equity financing in the internationalization process, an appropriate market selection as well as proactive motives, and a long-term scope can drive SMEs' international success. Moreover, it becomes evident that strategic factors are more relevant for successful internationalization than structural factors

The effects of cultural differences on consumers' willingness to share personal information

Consumer information is an increasingly valuable resource in the digitally interconnected modern world. Globally, the number of firms collecting and exploiting consumer information to optimize their marketing efforts is increasing rapidly. The authors determine how four cultural dimensions—power distance, masculinity, uncertainty avoidance, and long-term orientation—affect consumers’ willingness to share their personal information with firms (WTS). The authors empirically test the direct effect of national culture on WTS, as well as its moderating effect on the link between WTS and two of its key drivers, privacy concerns and perceived benefits. Drawing on regulatory focus theory, the authors develop a conceptual framework and test it using multilevel modeling on data from 15,045 consumers across 24 countries. The empirical findings demonstrate that national culture directly affects WTS and moderates the effects of both privacy concerns and perceived benefits on WTS. These results highlight the need for managers and marketers to consider international cultural differences when collecting consumer information

How Does De‐Globalization affect location decisions? A Study of managerial perceptions of risk and return

Our understanding of how managers take international location decisions is still scarce. Building on the microfoundations view, we explore managers’ perceptions of risk and return in a discrete choice experiment with 2,618 decisions in 2013 (a globalizing world) and 2017 (a de‐globalizing world). While managerial perceptions vary over time due to economic and political changes, such as the current de‐globalization trend, decision heuristics remain remarkably stable: locations perceived as least risky offer the highest expected returns. We also find that distance is a good proxy for managerial perceptions. Investigating the microfoundations of decision‐making we show that international experience, risk‐taking propensity and shareholder status affect heuristics. In sum, our study provides novel insights into the microfoundations of location decisions and extends the behavioral perspective on internationalization

Consumers’ privacy calculus:The PRICAL index development and validation

Although collecting personal information about consumers is crucial for firms and marketers, understanding of when and why consumers accept or reject information collection remains limited. The authors conceptualize a privacy calculus that represents a consumer's trade–off of the valence and uncertainty of the consequences of the collection, storage, and use of personal information. For example, usage-based car insurance requires drivers to share data on their driving behavior in exchange for a discount (certain benefit) but at the risk of third parties intercepting location data for malicious use (uncertain disadvantage). Building on this conceptualization, the authors develop the privacy calculus (PRICAL) index. They empirically confirm the validity of the items (Study 1) and the index as a whole (Study 2). The PRICAL index is generally applicable and improves the explanation of behavioral intentions (Study 2) and actual behavior (Study 3), compared with currently used constructs (e.g., privacy concern, trust). Overall, the PRICAL index allows managers to understand consumers’ acceptance of information collection regarding financial, performance, psychological, security, social, and time-related consequences, which the authors demonstrate using the top five most valuable digital brands (Study 4)

The market for privacy:Understanding how consumers trade off privacy practices

In recent years, firms’ privacy practices have received increasing attention from consumers. While firms largely see this development as a threat, as consumers might prohibit collection or use of data, we suggest that it can also represent an opportunity for firms. On the “market for privacy,” firms can gain a competitive advantage by differentiating and actively promoting preferred privacy practices. In this context, the authors study how consumers trade off five privacy elements, three relating to distributive fairness (i.e., information collection, storage, use) and two relating to procedural fairness (i.e., transparency, control). Moreover, they analyze how the impact of these elements differs among four industries that vary in information sensitivity and interaction intensity. By using discrete choice experiments, the authors show that all privacy elements matter to consumers, even when in a trade-off with price. In highly sensitive industries, differences in information collection and use matter more, while storage matters less, for differentiation. When consumers have less frequent interactions with companies, they require more transparency about their privacy practices. The authors demonstrate empirically that optimizing privacy practices can lead to robust changes in market shares (Study 1) and higher revenues in equilibrium (Study 2) when firms embrace the market for privacy