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This study aims to increase understanding regarding the transformation of traditional business models, integrating digital technologies. The significance of digitisation within business models has increased dramatically in recent years. Because of this, new knowledge on how to transform traditional business models into digital business models in a systematic way is needed. Digital technologies, embedded in previously non-digital goods, force companies to rethink their business models.

A design science research methodology was chosen for this study. A literature review and semi-structured interviews served as the theoretical foundation to integrate behavioural science into the design science process. From the design science perspective, an artefact is introduced to provide an architectural framework to manage business model innovation in a systematic way. The artefact's application is demonstrated through a case study conducted at a real company and evaluated afterwards by means of structured interviews with experts.

The authors propose a highly useable and valuable conceptual framework for systematic business model innovation. However, one limitation of the research is that it was conducted among construction professionals in Germany, and so the result might not hold true for other firms or industry branches.

The research was conducted among construction professionals in Germany, and this acts as a limitation, as the result might not hold true for other firms or industry branches.

The purpose of this study is to provide managers with a framework for business model innovation, helping them systematically integrate digital technologies to create customer-added value. The proposed framework presents an innovative conceptual analysis of systematic business model innovation, which has not been addressed in prior studies.

Problem specification is a key front-end step in the innovation process. This paper aims to introduce ‘purpose-context’ – a conceptual framework to systematically explore problem-specification across mapped contexts. The framework’s logic is operationalized by the inherent structure of language – its syntax/grammar, which enables the systematic exploration of problem-specification. The method showcases two approaches to structurally explore the vast textual databases available to us today for problem-specification in innovation science, thereby furthering the pursuit of innovation through its foundational elements.

The conceptualization of the purpose-context framework was guided by logic and the scholarship of integration applied to bodies of work including innovation, design and linguistics. Further, the key elements of the conceptual framework were unpacked and structured using the syntax of language. Two approaches to operationalize the method were developed to illustrate the systematicity of the process. The construct was then validated by using it to systematically specify problems in the technical context of Raman spectroscopy and in the socio-technical context of international development. Overall, this paper is a work of relational scholarship of integration that bridges academic-practitioner gaps.

The purpose-context framework is well-suited for application in the innovation process with applicability across several abstraction levels. One key contribution is the recognition that a broader problem-specification exercise covering one-one, one-many, many-one, many-many problem-context mappings expands the range of potential solutions (innovations) to address the problem-space. Additionally, the work finds that it is possible to provide structure to the cognitive elements of the innovation process by drawing inspiration from the structure inherent in other cognitive processes such as language (e.g., parts-of-speech, phrase composition). Drawing from language is particularly appropriate as language mediates communication in any collective pursuit of the innovation process and furthermore because a large amount of information exists in textual form. Finally, this paper finds that there is merit in approaching innovation science from its foundational elements – i.e. data, information and knowledge.

While the purpose-context framework is broadly applicable, the methodical approach to provide structure to the front-end cognitive process is ‘one’ fruitful approach. We suspect other approaches exist.

The purpose-context framework is simple in its framing yet provides innovators, scholars and thought leaders, the ability to specify the problem space with greater coverage and precision. Further, in the solution-space, it provides them the ability to choose the breadth of solution scope (e.g. targeted solution addressing a single problem, targeted solution addressing a set of problems, the combination of solutions addressing a single problem and combination of solutions addressing a combination of problems). In addition, by pairing the creative front-end innovation process with machine power, this study provides a formal method to scale-up the coverage of creativity (and potentially that of solutions to those problems) and reduces the chances of missed/blind-spots in problem-specification. Finally, evaluating purpose-contexts leads to ‘capability-contexts’ – a capability-oriented viewpoint informing capability development decisions such as the focus of R&D programs and related resource allocation decisions.

The paper uses logic to connect multiple bodies of research with a goal to provide systematicity to problem-specification – problem-specification, which is an under-addressed part of the innovation process. The use of data to systematically explore problem-space lends it systematicity (repeatability and measurability) and is therefore, valuable to innovation science. The proof-of-concept demonstrates the conversion of concept into a method for practical application.

The purpose of this study is to investigate whether the surprise components of systematic risk, which are useful in forecasting future investment opportunities, help explain the cross-section of average returns associated with portfolios sorted on size, book-to-market and accruals. This study also aims to examine the mispricing attributes of the size, value and accrual effects by investigating the relative economic relevance of aggregate risk factors, which are related to exogenous shocks in state variables, in the cross-sectional returns of triple-sorted portfolios.

This study uses innovations of systematic risk, which affect the cash flows and risk-adjusted discount rates of all firms in an economy and determines the expected returns of portfolios based on firm characteristics. This study uses independent sorts based on size, book-to-market and total accruals – all of which are measured at the firm level – and construct three-dimensional test portfolios. For unobserved innovations, this study estimates a triangular structural vector autoregressive system and obtain the exogenous innovations in state variables. The author uses Fama-MacBeth two-pass cross-sectional regressions and examines whether the structural innovations explain a significant part of the cross-sectional variation in the average returns of the test portfolios.

This study finds that variations in expected returns of testing assets are determined by differences in the underlying assets’ exposure to systematic risk innovation. The empirical evidence also shows that exogenous innovation in Fama-French (FF) risk factors leaves out important cross-sectional information about expected returns, and additionally, the FF-factor betas have lower cross-sectional power than the proxy for innovation betas. The cross-sectional differences in the test portfolios’ sensitivity to instruments such as the short-term Treasury bill rate and term spread survive the presence of FF-factor betas.

In contrast to the existing literature, this study uses structural innovations that are uncorrelated and thus exogenous in nature. The author creates test portfolios that display a wide range of average returns and are unlikely to show spurious variability in risk exposures. Unlike the existing research, where size, value and accrual anomalies have been analyzed in isolation, this study examine these pricing patterns jointly, focusing on the possible contributing role of structural innovation in economy-wide predictor variables. To the best of the author’s knowledge, this paper is the first attempt to link the sensitivity of portfolios sorted on size, book-to-market and accruals to exogenous structural innovation.

The main purpose of this review is to enhance the understanding of intellectual structure and outlook of management innovation research as an interesting and growing research field.

This systematic literature review examines the question, what is the relationship of management innovation with the performance of companies and with other types of innovation? The work also pursues to summarize theories, contexts, characteristics of the papers and methodologies with the purpose of facilitating further development and opportunities and priorities for future research.

The results suggest that management innovation is an interesting and growing research field; in its relation to different types of innovation and performance, it is a field explored with theoretical approaches, contexts and methodologies that begin to form a consolidated body of knowledge. However, through a critical analysis, this review highlights the gaps in the literature and provides suggestions for future studies to further explore the field. This revision contributes to the literature on management innovation summarizing the findings and contributions of research published in the field and its relationships with innovation and performance. It then identifies three comprehensive research streams, namely, future research on conceptualization, definitions and measurements; research on the level of analysis; and future research on management innovation drivers, antecedents and use as mediator/moderator variables.

Management innovation is an emerging research field that is characterized as a branch of research long ignored by more orthodox lines dedicated to technological innovation and topics in product and service development research.

Innovation in rural tourism and hospitality (RT) is a complex process that involves the exchange of knowledge and resources between many actors and the interrelationships between those actors in the business environment. The purpose of this paper is to provide structure to this “knowledge and resource ecosystem” through a thorough systematic review of the extant literature.

The current study uses a time-tested and reproducible systematic literature review process to identify and analyse 79 research papers that have discussed innovation in RT.

Through content analyses, this review identifies critical stakeholders in the innovation ecosystem, as well as the enabling and hindering roles these stakeholders play in innovation. The thematic analysis uncovers three key research foci: stakeholders and their roles, outcomes of innovation and business model innovation. The review also identifies types of innovation and critically analyses the bibliographical research profile. The authors summarise the findings in an RT innovation ecosystem model, which includes the various actors and their knowledge and resource sharing roles within the business environment.

This is one of the first systematic reviews to concentrate on RT innovation and, within that focus, on knowledge and resource networks in particular rather than on innovation in tourism in general, which was the focus of prior reviews. The authors encourage cross-pollination of ideas by introducing theories from the strategic management, innovation, knowledge management and business model innovation literature wherever appropriate. To consolidate and present the findings on the innovation process’s antecedents and outcomes, the authors present an ecosystem of innovation within the RT framework.

The purpose of this paper is to review current literature on knowledge management processes considering the relationship between the key knowledge processes of acquisition, sharing, storage, codification, creation, application and different types of innovation, through a systematic literature review.

This study follows systematic review protocols for management and organisational sciences and analyses 45 full papers on knowledge management processes and innovation.

Results not only show that all knowledge processes can directly support innovation but also that other organisational variables (e.g. organisational learning, absorptive capacity) mediate this relationship. Moreover, knowledge creation and knowledge application appear as two central processes through which knowledge acquisition, sharing, codification and storage influence innovation. Knowledge acquisition and knowledge sharing are the most frequently studied knowledge processes. The majority of the sample papers present traditional innovation definitions (product vs process, radical vs incremental and technical vs administrative). However, organisational innovation, innovation capability and innovation performance approaches emerge from the papers’ analysis.

The present review includes major scientific papers; however, the search is limited to the Web of Science^TM platform.

This literature review analyses high-quality, peer-reviewed papers, following a systematic methodology that can be tested and updated. Papers were divided based upon the knowledge process(es) being analysed and the innovation type/approach, providing a twofold contribution to knowledge management and innovation literature.

The purpose of this paper is to compare the implementation of 12 different organisation and management innovations (OMIs) in Swedish healthcare, to discover the generic and specific factors important for successful healthcare improvement change in a public health system.

Longitudinal cross‐case comparison of 12 case studies was employed, where each case study used a common framework for collecting data about the process of change, the content of the change, the context, and the intermediate and final outcomes.

Clinical leaders played a more important part in the development of these successful service innovations than managers. Strategies for and patterns of change implementation were found to differ according to the type of innovation. Internal organisational context factors played a significant role in the development of nearly all, but external factors did not. “Developmental evolution” better described the change process than “implementation”.

The 12 cases were all of relatively successful change processes: some unsuccessful examples would have provided additional testing of the hypotheses about what would predict successful innovation which were used in the case comparison. The cross‐case comparative hypothesis testing method allows systematic comparison if the case data are collected using similar frameworks, but this approach to management research requires considerable resources and coordination.

Management innovations that improve patient care can be carried out successfully by senior clinicians, under certain circumstances. A systematic approach is important both for developing and adapting an innovation to a changing situation. A significant amount of time was required for all involved, which could be reduced by “fast‐tracking” approval for some types of change.

This is the first empirical report comparing longitudinal and contextualised findings from a number of case studies of different organisational and management healthcare innovations. The findings made possible explanations for success factors and useful practical recommendations for conditions needed to nurture such innovation in public healthcare.

Service innovation (SI) is crucial for social and economic development. However, most of the studies about innovation relate to product/manufacturing. Aimed at enhancing the academic debate about SI, this paper intends to (1) assess the factors applied in empirical studies about SI from 2006 to 2020, (2) evaluate if researchers differentiate innovation in services from innovation in manufacturing, (3) evaluate if researchers differentiate innovation among distinct service segments within the heterogeneous service industry and (4) propose a categorization model for the factors that influence SI.

Our study employs a five-step approach for a systematic literature review of 99 relevant empirical papers from 2006 to 2020.

Our findings demonstrate a persistent lack of conceptual consolidation in the area, adding value to the ongoing dispute between opposite views on current SI's maturity level. Our results also evidence the non-observance of differentiation of innovation factors between service and manufacturing empirical papers. In addition, our paper shows an even higher lack of differentiation in the use of innovation factors among different service segments.

This paper provides the first more systematic verification of the lack of service differentiation within the empirical innovation study field. In addition, despite the abundance of factors that influence SI, the proposed categorization model offers the possibility to promote an area's conceptual consolidation. Our findings and categorization also support the debate about pathways for the field's development and help researchers in their future study designs and analyses.

The purpose of this paper is to address the possible future evolution of innovation from a human-only initiative, to human–machine co-innovation, to autonomous machine innovation and to arrive at a conceptual mind model that outlines the role of innovation regimes and innovation agents.

This is a concept paper where a theoretical “thought experiment” is done, using future thinking principles and data that originate from the literature.

A conceptual mind model is developed to facilitate a better understanding of complexity at the edge of innovation where intelligent machines will emerge as innovators of the cyber world. It was found that innovation will gradually evolve from a human-only activity, to human–machine co-innovation, to incidences of autonomous machine innovation, based on the growth of machine intelligence and the adoption of human–machine partnership management models in future.

Very little information is available in the literature on intelligent machines doing innovation. The work is based on a theoretical approach that presents new concepts to be debated, but have not been tested in engineering and technology management practice, except for a conference presentation and academic discussion.

The current world view is that future “smartness” is only possible through the creative abilities that humans have, but as machines are entering the workplace and our daily lives, not only as static robots on a manufacturing line, but as intelligent systems with the potential to replace lawyers and accountants, doctors and teachers, companions and partners, their role in innovation in complex environments needs to be explored.

Human–machine interaction is often an emotional social issue of concern in terms of the replacement of human intelligence with machine intelligence. It should be asked whether humans will or should remain in control of innovation? Artificial intelligence (AI) may complement and even substitute human intelligence, but huge value is embedded in the new goods, services and innovations AI will enable, especially in manufacturing, where value embedded in the project becomes complex and dynamic.

The thinking presented in this paper is original and should lead to debate to question the way innovation systems will work in future and inspires thinking about AI and innovation.

In this paper, the authors have used a systematic literature review methodology of 147 journal articles published in peer-reviewed journals. The analysis includes studies based on country of origin, the periodic proliferation of studies and the methodological design of the studies. As an outcome of the review, the studies are classified on the innovation in family firms under four broad categories – innovation input, family governance mechanisms, innovation output and the external environment. Some fruitful avenues of research are outlined in this domain.

The literature on innovation in family firms – the most dominant and ubiquitous form of organization across the world – is gaining pace. The influence of family by way controlling ownership, management and governance on, and in interaction with business acts as a complex proposition that shapes the strategic decision-making in the family firm including innovation. The purpose of this paper, therefore, is to advance the understanding of innovation in family firms and provide a list of future research questions of theoretical and practical value.

Based on this review, the authors provide future research directions pertaining to innovation in emerging economy family firms, effect of the institutional environment of family firm innovation as well family firms' innovativeness in the wake of pro-market reforms, different classes of ownership in family firms and innovation, family firm goal heterogeneity and innovation, and family firm dynamic capabilities and innovation.

The review provides a comprehensive understanding, trends and future research directions in the domain of innovation in family firms.