Jan-Michael Becker

Journal of Marketing Analytics Doi: https://doi.org/10.1057/s41270-025-00414-6

Covariance-based structural equation modeling (CB-SEM) enables researchers to estimate models with hypothesized cause-effect relationships between latent variables (i.e., constructs), each of which is operationalized by several items (i.e., indicators). To conduct CB-SEM analyses, researchers can rely on a range of software applications. However, many of these applications require researchers to engage in sometimes complicated and error-prone programming tasks. While IBM SPSS AMOS provides a graphical user interface (GUI), it does not fully meet the expectations of contemporary software. In order to address these challenges, the statistical SmartPLS 4 software has recently introduced a new CB-SEM module, which improves the user experience through a modern and intuitive graphical interface and comprehensive result reports. This tutorial describes the key CB-SEM analysis steps (i.e., model setup, estimation, and results evaluation) using the SmartPLS software.

Journal of the Academy of Marketing Science 53 p. 279-299 Doi: https://doi.org/10.1007/s11747-024-01055-4

Endogeneity in regression models is a key marketing research concern. The Gaussian copula approach offers an instrumental variable (IV)-free technique to mitigate endogeneity bias in regression models. Previous research revealed substantial finite sample bias when applying this method to regression models with an intercept. This is particularly problematic as models in marketing studies almost always require an intercept. To resolve this limitation, our research determines the bias’s sources, making several methodological advances in the process. First, we show that the cumulative distribution function estimation’s quality strongly affects the Gaussian copula approach’s performance. Second, we use this insight to develop an adjusted estimator that improves the Gaussian copula approach’s finite sample performance in regression models with (and without) an intercept. Third, as a broader contribution, we extend the framework for copula estimation to models with multiple endogenous variables on continuous scales and exogenous variables on discrete and continuous scales, and non-linearities such as interaction terms. Fourth, simulation studies confirm that the new adjusted estimator outperforms the established ones. Further simulations also underscore that our extended framework allows researchers to validly deal with multiple endogenous and exogenous regressors, and the interactions between them. Fifth, we demonstrate the adjusted estimator and the general framework’s systematic application, using an empirical marketing example with real-world data. These contributions enable researchers in marketing and other disciplines to effectively address endogeneity problems in their models by using the improved Gaussian copula approach.

Journal of Interactive Marketing 59(3) p. 273-293 Doi: https://doi.org/10.1177/10949968231215362

Companies spend large amounts of money to induce word of mouth (WOM) and spread it among consumers. This research introduces the concept of “WOM relevance,” which measures the importance of WOM for consumers’ purchase-decision process in a specific category. It uses three studies to develop and validate a parsimonious scale to measure WOM relevance at the consumer level across various product categories and different types of WOM, and applies the scale in an additional set of five studies. Specifically, this research disentangles the consumer-level and category components of WOM relevance; shows that the consumer-level variation is (much) larger than the category-level variation; and provides insights into differences in WOM relevance across categories, consumers, and WOM types. It also empirically shows that electronic WOM relevance relates to consumers’ search behavior and consideration-set formation in an online-shopping environment. Furthermore, it demonstrates that the proposed scale predicts choices as well as a more sophisticated choice model does. Finally, this research shows that WOM relevance influences not only consumers’ own purchase-decision process but also their intentions to retransmit others’ WOM messages.

Data Base for Advances in Information Systems 54(3) p. 75-118 Doi: https://doi.org/10.1145/3614178.3614183

Prior information system research remains inconsistent of the effects of system certifications. In their current use, certifications are often reduced to graphical seals. This approach fails to incorporate detailed assurance information emanating from the certification process. To address this gap, we adopt a design science approach and deploy a four-phase research design to clarify how to design impactful IS certification presentations. First, we identify sources of users’ limited understanding of seals and formulate a design proposal for a certification presentation by drawing upon the elaboration likelihood model. In the second phase, we formulate and validate a set of design meta-requirements and guidelines to improve certification presentation, using cognitive load theory and Toulmin’s model of argumentation as kernel theories. In the third phase, new certification presentations that comply with the proposed guidelines are developed and evaluated for their effectiveness. We show that presentations that augment seal-based certification presentations with richer assurance information improve certification effectiveness. This increases users’ assurance and trust perceptions when the presentations align with the users’ cognitive information processing needs in ways that reduce their cognitive load and enhance argument quality of assurance information.

European Journal of Information Systems 33(1) p. 80-96 Doi: https://doi.org/10.1080/0960085X.2022.2115949

This paper employs a longitudinal perspective to examine continued system use (CSU) by individuals in utilitarian, volitional contexts when alternative systems are present . We focus on two key behavioural antecedents of CSU – habit and continuance intention – and theorise how the relationships between CSU and these antecedents evolve over time. In addition, we hypothesise how the interaction effect of habit and intention on CSU evolves temporally. Our theorising differs from extant literature in two important respects: 1) In contrast to the widespread acceptance of the diminishing effect of continuance intention on CSU in the information systems (IS) literature, we hypothesise that in our context, its impact increases with time; and 2) In contrast to the negative moderation effect of habit on the relationship between intention and CSU proposed in the literature, we posit a positive interaction effect. We collect longitudinal survey data on the use of a higher education IS from students in a European university. Our results suggest that the impact of continuance intention on CSU as well as the interaction effect between habit and intention are increasing over time. We further introduce a methodological innovation – the permutation approach to conduct the multi-group analysis with repeated measures – to the literature.