Business models and information systems for sustainable development

Businesses are expected to explore market opportunities in the area of sustainable development, thus contributing to finding solutions aiming at sustainable quality of life. This will require adaptation and innovation of business models and information systems, with challenges of particular interest to the business modeling and software design community. This paper briefly discusses two relevant topics in this respect, namely (i) goal and value modeling, and (ii) model-driven development. We mention existing work that can be taken as a starting point for addressing sustainability issues, and we make some observations that may be taken into account when extending existing work

Understanding business strategies of networked value constellations using goal- and value modeling

In goal-oriented requirements engineering (GORE), one usually proceeds from a goal analysis to a requirements specification, usually of IT systems. In contrast, we consider the use of GORE for the design of IT-enabled value constellations, which are collections of enterprises that jointly satisfy a consumer need using information technology. The requirements analysis needed to do such a crossorganizational design not only consists of a goal analysis, in which the relevant strategic goals of the participating companies are aligned, but also of a value analysis, in which the commercial sustainability of the constellation is explored. In this paper we investigate the relation between strategic goal- and value modeling. We use theories about business strategy such as those by Porter to identify strategic goals of a value constellation, and operationalize these goals using value models. We show how value modeling allows us to find more detailed goals, and to analyze conflicts among goals

Knowledge management, innovation and big data: Implications for sustainability, policy making and competitiveness

This Special Issue of Sustainability devoted to the topic of “Knowledge Management, Innovation and Big Data: Implications for Sustainability, Policy Making and Competitiveness” attracted exponential attention of scholars, practitioners, and policy-makers from all over the world. Locating themselves at the expanding cross-section of the uses of sophisticated information and communication technology (ICT) and insights from social science and engineering, all papers included in this Special Issue contribute to the opening of new avenues of research in the field of innovation, knowledge management, and big data. By triggering a lively debate on diverse challenges that companies are exposed to today, this Special Issue offers an in-depth, informative, well-structured, comparative insight into the most salient developments shaping the corresponding fields of research and policymaking

Eco‐Holonic 4.0 Circular Business Model to Conceptualize Sustainable Value Chain Towards Digital Transition

The purpose of this paper is to conceptualize a circular business model based on an Eco-Holonic Architecture, through the integration of circular economy and holonic principles. A conceptual model is developed to manage the complexity of integrating circular economy principles, digital transformation, and tools and frameworks for sustainability into business models. The proposed architecture is multilevel and multiscale in order to achieve the instantiation of the sustainable value chain in any territory. The architecture promotes the incorporation of circular economy and holonic principles into new circular business models. This integrated perspective of business model can support the design and upgrade of the manufacturing companies in their respective industrial sectors. The conceptual model proposed is based on activity theory that considers the interactions between technical and social systems and allows the mitigation of the metabolic rift that exists between natural and social metabolism. This study contributes to the existing literature on circular economy, circular business models and activity theory by considering holonic paradigm concerns, which have not been explored yet. This research also offers a unique holonic architecture of circular business model by considering different levels, relationships, dynamism and contextualization (territory) aspects

Service Quality and Customer Loyalty in a Post-Crisis Context. Prediction-Oriented Modeling to Enhance the Particular Importance of a Social and Sustainable Approach

Research into the influence of service quality on customer loyalty has typically focused on confirming isolated direct causal influences regarding particular dimensions of quality, usually undertaken in the context of positive, firm-customer relations. The present study extends analysis of these factors through a new lens. First, the study was undertaken in a market context following a crisis that has had far-reaching consequences for customers’ relational behaviors. We explore the case of the Spanish banking industry, a sector that accurately reflects these new relational conditions, including a rising demand for more socially responsible banking. Second, we propose a holistic model that combines the effects of four key factors associated with service quality (outcome, personnel, servicescape and social qualities). We also apply an innovative predictive methodological technique using partial least squares (PLS) and qualitative comparative analysis (QCA) that enables us not only to determine the direct causal effects among variables, but also to consider different scenarios in which to predict customer loyalty. The results highlight the role of outcome and social qualities. The novelty of the social qualities factor helps to underscore the importance of social, ethical and sustainable practices to customer loyalty, although personnel and servicescape qualities must also be present to improve the predictive capability of service quality on loyalty

Review of Life Cycle Assessment in Agro-Chemical Processes

Life Cycle Assessment (LCA) is a method used to evaluate the potential impacts on the environment of a product, process, or activity throughout its life cycle. Today’s LCA users are a mixture of individuals with skills in different disciplines who want to evaluate their products, processes, or activities in a life cycle context. This study attempts to present some of the LCA studies on agro-chemical processes, recent advances in LCA and their application on food products and non-food products. Due to the recent development of LCA methodologies and dissemination programs by international and local bodies, use of LCA is rapidly increasing in agricultural and industrial products. The literatures suggest that LCA coupled with other environmental approaches provides much more reliable and comprehensive information to environmentally conscious policy makers, producers, and consumers in selecting sustainable products and production processes. For this purpose, a field study of LCA of biodiesel from Jatropha curcas has been taken as an example in the study. In the past, LCA has been applied primarily to products but recent literature suggests that it has also the potential as an analysis and design tool for processes and services. In general, all primary industries use energy and water resources and emit pollutants gases. LCA is a method to report on and analyze these resource issues across the life cycle of agro-chemical processes. This review has the importance as a first part of a research project to develop a life cycle assessment methodology for agro-chemical industries. It presents the findings of a literature review that focuses on LCA of agriculture and chemical engineering literatur

Predicting the value of product service-systems for potential future implementers: results from multiple industrial case studies

The great impact played by Product/Service-Systems (PSS) on industry and academia can be motivated by the need for modernizing business models, carrying out internal companies' reconfiguration, enhancing environmental sustainability. Despite the large number of objectives pursued by PSS, sparks of criticism have recently emerged, as well as the results ensuing from PSS adoption have not been rigorously assessed. In particular, the authors highlight a lack of quantitative analysis concerning the service aspects of PSS and hurdles in service modeling and evaluation. The paper's objective is to contribute in this field by individuating factors, advantages and disadvantages that are not directly measurable in monetary terms by companies. This kind of assessment might result crucial, as the implementation of PSS-oriented strategies require a not negligible amount of commitment, besides propensity to risk. A first activity was carried out thanks to a pilot group of firms that have not implemented any PSS initiative so far, which have been exposed to business reconfiguration scenarios underpinning PSS. A model for generalizing pros and cons of future PSS implementation has been subsequently experimented by a larger group of industrial organizations. Such a model has represented the backbone for the creation of a tentative quantitative estimation tool, which assesses and forecasts the added value of services featured by the introduction of PSS and hence represents a candidate criterion for undertaking decisions concerning the implementation of PSS strategies. The paper clarifies which assumptions are introduced in order to achieve this result

A BIM-based PSS approach for the management of maintenance operations of building equipment

The service-centered economy has grown considerably in the last few years, shifting from product-based solutions towards service centered offerings, i.e., Product-Service System (PSS) solutions. Such an approach is also emerging in the context of building equipment, where maintenance activities play a fundamental role in facility management. In this field, Building Information Modeling (BIM) based tools are diffusely used to improve the performances of facility management. However, few studies have addressed the above issues while considering a shift from product-based approaches in favor of more advanced servitization models. The study aims at integrating BIM based approaches in a PSS context for the improvement of the management of maintenance operations of building equipment. A general framework for maintenance management has been developed, merging the implementation of the PSS components in a BIM model for the definition of maintenance management. A first application of this methodology to a real case study concerning the elevators of an existing building has shown the efficacy of the proposed approach. The study highlighted the benefits that can be achieved, especially in terms of reduced periods of equipment unavailability, reduced costs and augmented customer satisfaction, while enhancing the information exchange between the PSS actors. Hence, although further research is still needed for its validation, the proposed approach can offer practical insights for the development of promising BIM-based PSS solutions for facility management in the construction industry