ENVIRONMENTALLY SUSTAINABLE BUSINESS PROCESS MANAGEMENT – DEVELOPING A GREEN BPM READINESS MODEL

During the last half decade, various theories, concepts, and models have been established to make organizations more environmentally sustainable. The IS community had their share with the Green IS/IT domain. As it turned out most of these concepts took a very functional approach, not making a good fit for business process oriented organizations. To fill this gap the research stream of Green Business Process Management (GBPM) arose. In this paper we develop and discuss various capabilities that organizations should have in order to actually take advantage of GBPM. We call these capabilities GBPM readiness

Too Much of a Good Thing? An Experimental Investigation of the Impact of Digital Technology-enabled Business Models on Individual Stress and Future Adoption of Sustainable Services

The pervasive diffusion of digital technologies affords the development of innovative and sustainable business models. With increased connectivity, options arise for enabling sharing-based services with pay-per-use pricing. Besides the merits that these services gather, e.g., concerning sustainability, flexibility and economics, less is known about the potential adverse impacts on individuals. Thus, we employed an experimental research design to examine how digital technology-enabled business models affect individual stress and perception concerning the future usage of these services. Specifically, we investigated the context of car sharing, a service that has recently been advanced by the use of digital technologies and received increasing adoption rates. The empirical results indicate that digital technology-enabled business model designs significantly influence psychological stress in an unfavorable manner, and hence, negatively affect the willingness to use car sharing. Thus, our investigation points to the importance of accounting for potential dysfunctional societal effects of information systems in sustainability transformation

Less is Sometimes More – The Impact of In-Vehicle Information Systems on Perceived Range Stress

Recent research has emphasized a new dimension of driver stress, the concern of getting stranded with an electric vehicle due to a depleted battery, referred to as range stress. One promising solution is seen in the appropriate provision of relevant information through in-vehicle information systems. We aim to investigate how individuals perceive the interaction of these systems with a particular focus on range stress. Thus, we employed an experimental research design in real traffic situations consisting of 70 participants. We put participants in a critical range situation and showed that the provision of volatile and too much range-related information leads to increased range stress perception, and hence, negatively affects the willingness to use electric vehicles. This research contributes to the existing body of knowledge, as it points to the importance of accounting for potential dysfunctional consequences of increased use of information systems

Generating Rental Data for Car Sharing Relocation Simulations on the Example of Station-Based One-Way Car Sharing

Developing sophisticated car sharing simulations is a major task to improve car sharing as a sustainable means of transportation, because new \ algorithms for enhancing car sharing efficiency are formulated using them. \ \ Simulations rely on input data, which is often gathered in car sharing systems or artificially generated. Real-world data is often incomplete and biased while artificial data is mostly generated based on initial assumptions. Therefore, developing new ways for generating testing data is an important task for future research. \ \ In this paper, we propose a new approach for generating car sharing data for relocation simulations by utilizing machine learning. Based on real-world data, we could show that a combined methods approach consisting of a Gaussian Mixture Model and two classification trees can generate appropriate artificial testing data

What Determines the Adoption of Digital Innovations by Digital Natives? – The Role of Motivational Affordances

Previous IS research analyzing the adoption of digital innovations has not yet distinguished between digital natives and digital immigrants. Thus, there is still a limited understanding of the special needs regarding digital innovation design and the adoption behavior of individuals identified as digital natives. Therefore, we used a motivational theory perspective from psychological studies to examine the individual needs of digital natives concerning the design of a digital innovation. We conducted a mental simulation experiment with 637 participants. Our findings shed light on the importance of digital nativeness as a predictor of attitudes towards using digital innovations, and the relevance of applying socio-psychological design principles for developing digital innovations

Understanding the Scene Data- Pavement Area Grouping in Images

Modern societies are clearly en route towards digitalization. Natural scene images particularly could provide many value added applications and services. In this paper, we address the challenges that arise with pavement detection in rural, urban, and unstructured scenes. We use an approach combining region similarity, split and merge, and pairwise assignment, to merge image regions according to a homogeneity criteria, and group pavement regions in images. Homogeneity criteria is based on color and texture feature types. In successive steps a distance matrix based on varying kernel is created. The approach is numerically simple, yet retains the ability to merge similar regions. Assignment with Hungarian method is used to achieve hierarchical region merging. As a result, pavement area grouping could be handled. Evaluations on relevant datasets show that our approach allows successful merging and recognition of image regions belonging to the pavement area for various scenes and surface types

HOW TO GOVERN YOUR GREEN IT? - VALIDATING A CONTINGENCY THEORY BASED GOVERNANCE MODEL

Although practitioners have begun to implement Green IT into their companies, the governance of sustainable information systems varies significantly. Only little has been done to explain these differences in Green IT governance. Building upon contingency theory and IT governance, we develop a contingency model for Green IT governance which demonstrates the fit between contingencies and the company-specific configuration of Green IT. In the first step, three archetypes of Green IT governance reaching from centralized over federal to decentralized are presented. In the second step, we identify from literature eight contingency factors determining the ideal type of Green IT governance. The contingency model is validated by a questionnaire using factor and regression analysis With the enhanced understanding of how Green IT governance is shaped by contingency factors, organizations are able to select the most successful Green IT governance form

Unraveling the Interaction of Information Systems and Ecosystems - A Comprehensive Classification of Literature

Pervasive digitalization substantially influences how contemporary firms interact with their business environments. Increasing connectivity of firms, things, and people lead to more complex interrelations, rendering an ecosystem perspective relevant. Accordingly, research increasingly points to the value of the ecosystem construct for explaining the phenomena of digital transformation. Although prominent in most recent studies, the challenge of achieving a clear understanding of this construct and its interaction with information systems remains a relevant obstacle for progress in current research. Therefore, we systematically identified and analyzed high quality literature on ecosystems and information systems, resulting in a set of 42 relevant journal publications. Our findings summarize the current state of knowledge and highlight important gaps in the literature. Moreover, we derive valuable insights on the role of information systems in ecosystem genesis as well as development and, by drawing on the origins in biology, offer interesting avenues for further research

An Acceptance Model for User-Centric Persuasive Environmental Sustainable IS

In the recent years Green IS research aims to utilize information systems (IS) to influence people towards sustainable behavior change in a user-centric manner. Emerging pervasive technologies such as smartphones, wearables, and the diffusion of Internet of Things (IoT) devices offer manifold innovative opportunities to address people and influence behavior. Lately, the design of persuasive IS became popular in IS research aiming to optimize the utilization of these new technologies to further improve the behavioral influence of people. While few implementations with the goal to foster environmental sustainability already show positive potentials – substantial limitations exist. A major shortcoming of existing user-centric Green IS studies is that these systems are primarily used in experimental settings. Thus, system use is predominantly mandatory. In this study we focus on the acceptance of user-centric persuasive Green IS and show the positive potentials of persuasive design principles on the acceptance of environmental sustainable IS