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Despite the common understanding that business model (BM) innovation is of vital importance for securing competitive positioning in the market place, managers still seem to lack appropriate frameworks and tools which can support them in renewing and rejuvenating their company’s existing BM. The purpose of this paper is to develop a structural and comprehensive toolbox of available BM configurations, from which companies can choose, to innovate their BM upon, and to design an appropriate BM innovation framework which can facilitate them in re-designing, selecting, and implementing new BM configuration possibilities.

A structured literature review is conducted to identify all the relevant BM configurations. Then, a value driver analysis is performed to group these BM configurations into appropriate categories. Finally, an ontological classification scheme and a structural and workable process, i.e. a BM innovation framework, are inductively developed.

The paper systematically develops a list of 71 BM configurations and groups them into an ontological classification scheme according to five groups: Value Proposition, Value Segment, Value Configuration, Value Network, and Value Capture. The paper illustrates how the BM innovation framework, enabled by this ontological classification scheme, provides a platform for identifying BM innovation routes for companies, allowing managers to envisage radical, disruptive, and new-to-the-world BM configuration ideas, or apply existing configurations from other industrial settings in what may be deemed new-to-the-industry innovation.

The paper enriches the amount of potential BM configurations available for managers to choose from when innovating their BMs, and extends the analysis to five core BM configuration categories. Moreover, the BM innovation framework suggested highlights the strong relationships among the value drivers, thus presenting the opportunity for managers to assess potential conflicts or synergies between various value drivers, and to align the BM management process as a whole.

Environmental and social sustainability are becoming key competitive priorities for companies, but the way in which they are integrated in operations strategies remains an open issue. The purpose of this paper is to determine whether established operations strategy configuration models (i.e. price-oriented, market-oriented and capability-oriented models) are modified to include environmental and social priorities and whether different operations strategy configuration models are equally successful in the short and long term.

Analyses were performed using data from the International Manufacturing Strategy Survey (2009), including companies in the assembly industry in 21 different countries. According to previous studies, cluster analysis of competitive priorities and ANOVA analysis of the business strategy and short- and long-term performance were performed.

The results show that traditional operations strategy configuration models are slightly modified. Market-oriented and capability-oriented operations strategies are complemented by environmental and social sustainability priorities. These operations strategies are adopted by companies with a differentiation and innovation business strategy. Moreover, capability-oriented companies, which are the most committed to environmental and social sustainability, perform better in both the short and long term.

This research shows to companies that traditional operations strategies focusing on specific competitive priorities (e.g. low price) are being replaced by more holistic strategies that include sustainability priorities. However, environmental and social priorities contribute to competitive advantage when complementing capability-oriented operations strategies.

This paper extends operations strategy configuration models highlighting how environmental and social sustainability priorities can be deployed together with traditional competitive operations priorities.

This study applies asymmetric rather than conventional symmetric analysis to advance theory in occupational psychology. The study applies systematic case-based analyses to model complex relations among conditions (i.e., configurations of high and low scores for variables) in terms of set memberships of managers. The study uses Boolean algebra to identify configurations (i.e., recipes) reflecting complex conditions sufficient for the occurrence of outcomes of interest (e.g., high versus low financial job stress, job strain, and job satisfaction). The study applies complexity theory tenets to offer a nuanced perspective concerning the occurrence of contrarian cases – for example, in identifying different cases (e.g., managers) with high membership scores in a variable (e.g., core self-evaluation) who have low job satisfaction scores and when different cases with low membership scores in the same variable have high job satisfaction. In a large-scale empirical study of managers (n = 928) in four (contextual) segments of the farm industry in New Zealand, this study tests the fit and predictive validities of set membership configurations for simple and complex antecedent conditions that indicate high/low core self-evaluations, job stress, and high/low job satisfaction. The findings support the conclusion that complexity theory in combination with configural analysis offers useful insights for explaining nuances in the causes and outcomes to high stress as well as low stress among farm managers. Some findings support and some are contrary to symmetric relationship findings (i.e., highly significant correlations that support main effect hypotheses).

This chapter shows how to construct and test case-based macro models. The chapter makes use of national data to examine influences on quality-of-life of national cultures as complex wholes and entrepreneurship activities in Brazil, Russia, India, China, Germany, and the United States (the six focal nations) plus Denmark (a small-size, economically developed, nation). The study tests McClelland’s (1961) and more recent scholars’ proposition that some cultural configurations nurture entrepreneur startups, while other cultures are biased toward thwarting startups. The study applies complexity theory to develop and empirically test a general theory of cultures’, entrepreneurship’s, and innovation’s impact on quality-of-life across nations. Because culture represents a complex whole of attitudes, beliefs, values, and behavior, the study applies a set-theoretic approach to theory development and testing of alternative cultural configurations. Each of 28 economical developed and developing nations is scored for the level of the national cultures for each of six focal countries. The study selected for the study enables multi-way comparisons of culture-entrepreneurship-innovation-QOL among large- and small-sized developing and developed nations. The findings graphically present the complex national cultural configuration (x-axis) with entrepreneur nurture/thwart (y-axis) of the 28 nations compared to the six focal nations. The findings also include recognizing national cultures (e.g., Switzerland, the United States) nurturing entrepreneurial behavior versus other national cultures (e.g., Brazil and India) thwarting entrepreneurial behavior. The study concludes with a call to recognize the implicit shift in culturally implicit thinking and behavior necessary for advancing national platforms designed to successfully nurture entrepreneurship. Entrepreneur strategy implications include the observation that actions nurturing firm start-ups by nations low in entrepreneurship will unlikely to be successful without reducing such nations’ high levels of corruption.

This paper aims to apply complexity theory tenets to deepen understanding, explanation and prediction of how configurations of national cultures and need motivations influence national entrepreneurial and innovation behavior and nations’ quality-of-life (QOL). Also, the study examines whether or not high national ethical behavior is sufficient for indicating nations high in quality-of-life.

Applying core tenets of complexity theory, the study constructs asymmetric, case-based (nations), explanations and predictive models of cultures’ consequences (via Schwartz’s seven value dimensions) and implicit need motivations (via McClelland’s three need motivations) indicating national entrepreneur and innovation activities and subsequent national quality-of-life and ethical behavior. The study includes testing configurational models empirically for predictive accuracy. The empirical examination is for a set of data for 24 nations in Asia, Europe, North and South America and the South Pacific.

The findings confirm the usefulness of applying complexity theory to learn how culture and motivation configurations support versus have negative consequences on nations’ entrepreneurship, innovation and human well-being. Nurturing of entrepreneur activities supports the nurturing of enterprise innovation activity and their joint occurrence indicates nations achieving high quality-of-life. The findings advance the perspective that different sets of cultural value configurations indicate nations high versus low in entrepreneur and innovation activities.

High entrepreneur activities without high innovation activity are insufficient for achieving high national quality-of-life. Achieving high ethical behavior supports high quality-of-life.

This study is one of the first to apply complexity theory tenets in the field of entrepreneurship research. The study here advances the perspective that case-based asymmetric modeling of recipes is necessary to explain and predict entrepreneur activities and outcomes rather than examining whether variable relationships are statistically significant from zero.

This study identifies and characterizes configurations of generic business models for logistics service providers (LSPs) in the context of industrial additive manufacturing (AM). A literature-based framework of the AM service supply chain (SC) is developed to embed the generic configurations in their SC context.

Following an exploratory research design, 17 interviews were conducted with LSPs, LSPs' potential partners and customers for industrial AM services.

Six generic configurations are identified, the LSP as a Manufacturer, Landlord, Logistician, Connector, Agent and Consultant. The authors outline how these configurations differ in the required locations, partners and targeted customer segments.

The current discussion of reshoring and shorter, decentralized AM SCs confronts LSPs with novel challenges. This study offers guidance for managers of LSPs for designing business models for industrial AM and raises awareness for LSPs' resource and SC implications.

This study contributes to the scarce literature on AM business models for LSPs with in-depth empirical insights. Based on the six identified configurations, this study sets the ground for theorizing about the business models, in particular, the value creation, value proposition and mechanisms for value capture of the business models. In addition, this study suggests how the generic configurations fit the features of specific types of LSPs.

This paper aims to explore the use of the knowledge management (KM) perspective for configuration projects. Configuration projects implement configurators as information technology systems that help companies manage the specification process of customised products. An effective method of retrieving and formalising knowledge for configurators is essential, because it can reduce the risk of unsuccessful implementation and the time and effort required for development. Unfortunately, no standard KM frameworks are available specifically for configuration projects. This study identifies the knowledge necessary for different phases of a configuration project (which knowledge, for what purpose and from what sources), examines how it is transformed during a configuration project (what KM activities and tools are used) and establishes how the knowledge can be documented for future maintenance and updates.

This paper proposes a four-step framework for making the KM process more efficient in configuration projects. The framework is based on the literature, developed in collaboration with industrial partners and tested on four configuration projects in two engineering companies. The framework is a structured KM approach designed to save time for both domain experts and the configuration team. The authors have used a qualitative exploratory design based on multiple data sources: documentation, workshops and participant observation.

The proposed framework comprises four steps: determination of the system’s scope, to establish the project’s goal based on stakeholders’ requirements and prioritise the required products and processes; knowledge acquisition, to classify the knowledge according to the desired output and identify different knowledge sources; modelling and knowledge validation; and documentation and maintenance, to ensure that the KM system can be maintained and updated in the future.

Because the framework is tested on a limited number of cases, its generalisability may be limited. However, focusing on a few case applications allows us to assess the effectiveness of the framework in detail and in depth to identify the practical challenges of applying it. The results of the tests support the framework’s validity. Although the framework is designed mainly for engineering companies, other industries could benefit from using it as well.

The individual steps of the framework create a structured approach for the KM process. Thus, the approach can save both time and resources for companies, without the need for additional investment.

A standard framework is lacking in the literature on KM for configuration projects. This study fills that gap by developing a KM framework for configuration projects, based on KM frameworks developed for IT projects, and KM tools.

Two drawbacks to current management information practices are identified. First, the level of abstraction from which internal management disclosures are constructed using current frameworks is too generic; and second, the current process of identifying relevant management disclosures is outdated. The purpose of this paper is, therefore, to discuss whether contemporary conceptions of value creation from the field of business models can improve the currently applied frameworks used for generating internal management disclosures on intellectual capital. Hence, this paper offers a timely critique of the balanced scorecard, and other performance measurement concepts developed over the last 25 years.

The paper reviews contemporary literature on the balanced scorecard, and related concepts, for generating internal management disclosures relating to intellectual capital. Furthermore, the problems that balanced scorecard type frameworks have as vehicles for constructing relevant internal management disclosures are explored.

This essay argues that internal management disclosures need more precise underpinnings of value creation than offered by current frameworks. An empirically validated structure that establishes alignment between value creation and internal management disclosures, through the mechanism of business model configurations, is applied to overcome the two identified drawbacks of current practices.

This is a conceptual/normative offering.

Following the critique, this essay prompts a new way forward for identifying internal management disclosures and performance measures, their validation, and subsequent benchmarking by expanding upon the concept of business model configurations. This concept offers a value driver platform with related clusters of KPIs connected to each of the 71 identified business model configurations as a starting point for management’s identification of relevant KPIs, and their analysis, benchmarking, and application for performance management.

The arguments offered in this essay illustrate how it is possible to enhance the relevance of internal management disclosures by challenging and changing the normative level of abstraction applied.

This research was aimed at investigating the fire performance of LSF wall systems by using 3-D heat transfer FE models of existing LSF wall system configurations.

This research was focused on investigating the fire performance of LSF wall systems by using 3-D heat transfer finite element models of existing LSF wall system configurations. The analysis results were validated by using the available fire test results of five different LSF wall configurations.

The validated finite element models were used to conduct a parametric study on a range of non-load bearing and load bearing LSF wall configurations to predict their fire resistance levels (FRLs) for varying load ratios.

Fire performance of LSF wall systems with different configurations can be understood by performing full-scale fire tests. However, these full-scale fire tests are time consuming, labour intensive and expensive. On the other hand, finite element analysis (FEA) provides a simple method of investigating the fire performance of LSF wall systems to understand their thermal-mechanical behaviour. Recent numerical research studies have focused on investigating the fire performances of LSF wall systems by using finite element (FE) models. Most of these FE models were developed based on 2-D FE platform capable of performing either heat transfer or structural analysis separately. Therefore, this paper presents the details of a 3-D FEA methodology to develop the capabilities to perform fully-coupled thermal-mechanical analyses of LSF walls exposed to fire in future.

The purpose of this paper is to contribute to the development of a general theory of the market, by defining markets as configurations and exploring: how market configurations emerge and evolve in a business‐to‐business context; how a market actor can influence market configurations; and what kinds of market configuration capabilities actors need to develop.

The topic is approached by theoretical analysis and conceptual development.

Markets can be viewed as configurations of market actors engaging in market practices. Market configurations are perpetually dynamic as new actors enter the context, and as actors introduce ideas and business model elements to the network. As a result the configuration's marketness evolves towards higher levels of configurational fit, resulting in increased value co‐creation opportunities. An actor wanting to influence the market configuration can do so by working on its mental models and business models. The power of the actor's mental and business models is mediated by the actor's network position, its clout, and the fact that a change in any element evokes reactions from other actors. Actors need to develop new sets of market capabilities, such as value sensing, the ability to measure markets, price formation and pricing logics, and market scripting.

For a scholarly audience the paper contributes to the discussion on how markets are redefined from being places where demand and supply meet and reach equilibrium, to being spaces where actors integrate resources to co‐create value. For a practitioner audience it offers ideas on how firms can shape their markets in their favour.