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People seem to function according to different models, which implies that in business and social sciences, heterogeneity is a rule rather than an exception. Researchers can investigate such heterogeneity through multigroup analysis (MGA). In the context of partial least squares path modeling (PLS-PM), MGA is currently applied to perform multiple comparisons of parameters across groups. However, this approach has significant drawbacks: first, the whole model is not considered when comparing groups, and second, the family-wise error rate is higher than the predefined significance level when the groups are indeed homogenous, leading to incorrect conclusions. Against this background, the purpose of this paper is to present and validate new MGA tests, which are applicable in the context of PLS-PM, and to compare their efficacy to existing approaches.

The authors propose two tests that adopt the squared Euclidean distance and the geodesic distance to compare the model-implied indicator correlation matrix across groups. The authors employ permutation to obtain the corresponding reference distribution to draw statistical inference about group differences. A Monte Carlo simulation provides insights into the sensitivity and specificity of both permutation tests and their performance, in comparison to existing approaches.

Both proposed tests provide a considerable degree of statistical power. However, the test based on the geodesic distance outperforms the test based on the squared Euclidean distance in this regard. Moreover, both proposed tests lead to rejection rates close to the predefined significance level in the case of no group differences. Hence, our proposed tests are more reliable than an uncontrolled repeated comparison approach.

Current guidelines on MGA in the context of PLS-PM should be extended by applying the proposed tests in an early phase of the analysis. Beyond our initial insights, more research is required to assess the performance of the proposed tests in different situations.

This paper contributes to the existing PLS-PM literature by proposing two new tests to assess multigroup differences. For the first time, this allows researchers to statistically compare a whole model across groups by applying a single statistical test.

Immersive virtual reality (IVR) has been frequently proposed as a promising tool for learning. However, researchers have commonly implemented a plethora of design elements in these IVR systems, which makes the specific aspects of the system that are necessary to achieve beneficial outcomes unclear. Against this background, this study aims to combine the literature on presence with learning theories to propose that the ability of IVR to present 3D objects to users improves the presence of these objects in the virtual environment compared with 2D objects, leading to increased learning performance.

To test this study’s hypotheses, the authors conducted a 2 (training condition: approach vs avoid) x 2 (object presence: high vs low) between-subjects laboratory experiment that used IVR with 83 female participants.

The results support this study’s hypotheses and show that training with high object presence leads to greater reactions to cues (chocolate cravings) and improved health behaviour (chocolate consumption).

This study shows that increased object presence leads to unique experiences for users, which help reinforce training effects. Moreover, this work sheds further light on how immersive computer technologies can affect user attitudes and behaviour. Specifically, this work contributes to IVR research by showing that learning effects can be enhanced through an increased degree of object presence.

Toxic behavior in multiplayer video games diminishes the potential revenue of gaming companies by spreading a bad mood, negatively affecting game play, and subsequently leading to the churn of players. However, research investigating why toxic behavior occurs is still scarce. To address this issue, this study disjunctively tests three different theoretical approaches (social cognitive theory, theory of planned behavior, and online disinhibition effect) to explain toxic behavior and propose a unified theory of toxic behavior.

In total, 320 respondents participated in a questionnaire study. This study analyzes the data with covariance-based statistics (i.e. regression analysis and structural equation modelling), and the approach is twofold. First, the hypotheses of three theories are disjunctively tested. Second, a unified theory of toxic behavior is proposed.

The results of this study indicate that online disinhibition best explains toxic behavior, whereby toxic behavior victimization, attitude, and behavioral control also play an important role.

The findings of this study offer an opportunity to better understand a contemporary and especially meaningful form of negative behavior online.

To maintain revenue and popularity, the computer game industry can use the findings of this study to prevent and better address toxic behavior and its negative consequences.

Toxic behavior among video game players is a relatively new and unexplored phenomenon; therefore, this study makes a valuable contribution to the research field by testing the explanatory power of three theoretical approaches and proposing a unified theory of toxic behavior.

This study sought to distinguish characteristics of cognitive processes while using information technology. In particular, it identifies similarities and differences between mind wandering and cognitive absorption in technology-related settings in an effort to develop a deeper understanding of the role that mind wandering plays when using information technology.

Data was gathered using an online survey including responses from 619 English-speaking adults in 2019. We applied a confirmatory factor analysis and used a robust variant of maximum likelihood estimator with robust standard errors and a Satorra–Bentler scaled test statistic. The data analysis procedure was conducted with the R environment using the psych package for descriptive analysis, and lavaan to investigate the factorial structure and the underlying correlations.

We discuss the benefits of carefully differentiating between cognitive processes in Information Systems research and depict avenues how future research can address current shortcomings with a careful investigation of neurophysiological antecedents.

To date, mind wandering has been explored as a single phenomenon, though research in reference disciplines has begun to distinguish varieties and how they distinctly impact behavior. We demonstrate that this distinction is also important for our discipline by showing how two specific types of mind wandering (i.e. deliberate and spontaneous mind wandering) are differently correlated with sub-dimensions of cognitive absorption, a well-studied construct.

Open process innovation – drawing from the literature on open innovation and business process management (BPM) – promotes the study of how to systematically make use of knowledge that lies outside of an organization's boundaries for process‐innovation initiatives. Open innovation has been heavily studied for product innovation; however, process innovation has not yet been researched from such perspective. This paper aims to address these issues.

Against this background, the paper seeks to investigate into variables that impact on the qualities of open process innovation taking the example of the public sector domain. This paper examines how personnel‐resource scarcity exerts influence on the involvement of: customers (here citizens and local companies); and consultants (here management and software consultants) in public sector BPM. Based on the findings, implications for theory and practice are discussed, including implications for studies on BPM maturity or on business process design.

The multi‐method analysis shows that personnel resource scarcity has consequences for BPM‐related collaboration schema as it restricts the involvement of customers.

The paper calls for a governance‐theory perspective on process innovation as a fundamental basis for understanding and designing the institutions that shape collaboration in open process innovation.

BPM managers find information about potential pitfalls in BPM maturization.

The paper provides a conceptualization of open process innovation and integrates the body of literature on open innovation and BPM.

Business process management (BPM) networks have become an important theme in both research and practice. Drawing from governance theory, this paper seeks to provide a theoretical understanding of BPM networks and introduce three types of BPM governance: market, network, and hierarchy. Subsequently, it aims to study the impact of BPM maturity, organization size, and financial stress (independent variables) on the three types of BPM governance (dependent variable).

After a thorough literature analysis a quantitative study is conducted. Comprehensive data of 538 local public administration in Germany and Japan is comparatively studied by means of a PLS (model and multi group) analysis.

The empirical study provides evidence for the significant dependence of BPM governance on contextual variables: the configuration of the BPM network relies on the BPM maturity and the perceived financial stress. Also, such dependence does vary between the two countries. Higher financial stress leads to more higher network sourcing in Germany and to higher market sourcing in Japan, respectively.

This study suggests that the role of process managers changes over time. In immature organizations, process managers appear to work alone and struggle for resources. However, once organizations start to mature, the role changes to that of an “orchestrator of different actors.” Process managers in future public organizations (assuming a positive development of capabilities), both in Asian and European settings, must be able to collaborate with actors from different governance mechanisms.

First, the paper provides a governance‐theory based understanding of BPM networks. It introduces market‐type, network‐type, and hierarchy‐type BPM governance and thereby provides greater conceptual and theoretical clarity of this important phenomenon. So far, this research area has been under‐theorized. Second, the paper provides a theory that explains BPM network governance. Here, relevant contextual variables are taken into account, including the BPM maturity of an organization. Third, the paper contributes comprehensive empirical insights into BPM networks structures, governance mechanisms, and their dependence on contextual variables (especially the BPM maturity of an organization). Fourth, it provides an ample comparative theory‐based analysis of BPM networks in two different countries. Such an endeavor, as to the author's best knowledge, has not yet been undertaken so far.

The purpose of this paper is to analyze the status quo with regards to business process management (BPM) and collaboration and to show potential fields of future research in the area of collaborative BPM.

To obtain results, authors employ the method of a systematic literature review using relevant existing guidelines. They not only search leading journals and conferences in the fields but also in ISI web of knowledge's web of science. Subsuming, 39 relevant articles are selected and analyzed with regards to concepts identified upfront.

The paper finds that collaborative BPM is a growing trend in information systems research, but that there still exist significant research gaps. Hence, it proposes a research agenda consisting out of five action fields pointing at potentially fruitful directions for future research.

First, this paper provides an overview of the status quo in the field of collaborative BPM to young scholars. Second, it identifies five distinct research gaps that could be worth studying. However, this paper may be limited by the choice of dimensions and the selection of relevant articles.

This paper informs practitioners about the status quo of research on collaborative BPM. Here, especially the analysis in the dimensions collaboration partner and BPM goals can help to evaluate the practitioner's strategy.

The results of this paper present the status quo of collaborative BPM literature. Hence, it also identifies research gaps and derives a research agenda.

The paper seeks to investigate into the shared services phenomenon in the context of government reforms. It especially aims to address the emergence and shaping of shared services. The paper seeks to develop the notion of shared service centres (SSCs) and shared service networks (SSNs).

An interview‐ and document analysis‐based multiple case study was conducted in Germany. The qualitative analysis covered two shared service projects on the local government level.

Important preconditions for shared service emergence are identified, including cost pressure as motive, the existence of key actors as well as the existence of prior cooperation. Moreover, the paper provides evidence that the structure of previous cooperation exerts influence on if shared services are organized in a centralised (SSC) or decentralised format (SSN).

The case selection is a possible limitation of the presented study. The selected cases give an insight into the topic of shared service configuration. The findings derived constitute indicators of possible patterns, which have to be approved by further research in order to identify reliable causal relationships and improve generalisablity of the results presented here.

An insight into conditions of adaptation and shaping of shared services is given, suggesting causal relationships for further theory testing and development.

Business process management (BPM) is a key concept in information systems (IS) research that helps to connect business strategy with the use of technology in an organization. Contemporary BPM research is no longer only about methods, procedures, or tools for managing or modeling processes but about assessing and developing BPM capability in organizations. For this purpose, a vast collection of maturity models has been designed by practitioners and scholars alike. Such models are used to assess the status quo and benchmark it against other organizations, and, most important, to guide the development of BPM capability. With this study, the paper challenges the maturity model perspective of such development models.

In this study, methods of qualitative IS research are employed to address the research objectives.

The paper shows that maturity model-based guidance would be inadequate. Instead, other concept-external factors resulting from organizational and environmental characteristics appear to be important indicators. The theory discussion introduces alternative takes on BPM capability development, lays out implications for BPM practice, and presents potentially fruitful paths for future research in the area of BPM capability development.

This paper challenges the current perspectives and contributes a new direction for conceptualizing BPM capability development.