Search results

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.

The purpose of this paper is to clarify the concept of innovation capability and to show how the linkage between innovation capability and performance measurement can be formed.

The study is based on current literature of innovation capability and performance measurement and matching these two to find out how the measurement of innovation capability should be organized.

The paper describes the concept of innovation capability and presents a performance measurement framework for the measurement of innovation capability and its effects. As a result, a conceptual framework with five perspectives for measuring the relationship between innovation capability and business performance is presented. Also, the link between innovation capability and an organization's business performance is disclosed.

The paper shows a way forward of how to define measures of business performance in such a way that they are led from the development of innovation capability.

Information and communications technology (ICT) offers enormous opportunities for individuals, businesses and society. The application of ICT is equally important to economic and non-economic activities. Researchers have increasingly focused on the adoption and use of ICT by small and medium enterprises (SMEs) as the economic development of a country is largely dependent on them. Following the success of ICT utilisation in SMEs in developed countries, many developing countries are looking to utilise the potential of the technology to develop SMEs. Past studies have shown that the contribution of ICT to the performance of SMEs is not clear and certain. Thus, it is crucial to determine the effectiveness of ICT in generating firm performance since this has implications for SMEs’ expenditure on the technology. This research examines the diffusion of ICT among SMEs with respect to the typical stages from innovation adoption to post-adoption, by analysing the actual usage of ICT and value creation. The mediating effects of integration and utilisation on SME performance are also studied. Grounded in the innovation diffusion literature, institutional theory and resource-based theory, this study has developed a comprehensive integrated research model focused on the research objectives. Following a positivist research paradigm, this study employs a mixed-method research approach. A preliminary conceptual framework is developed through an extensive literature review and is refined by results from an in-depth field study. During the field study, a total of 11 SME owners or decision-makers were interviewed. The recorded interviews were transcribed and analysed using NVivo 10 to refine the model to develop the research hypotheses. The final research model is composed of 30 first-order and five higher-order constructs which involve both reflective and formative measures. Partial least squares-based structural equation modelling (PLS-SEM) is employed to test the theoretical model with a cross-sectional data set of 282 SMEs in Bangladesh. Survey data were collected using a structured questionnaire issued to SMEs selected by applying a stratified random sampling technique. The structural equation modelling utilises a two-step procedure of data analysis. Prior to estimating the structural model, the measurement model is examined for construct validity of the study variables (i.e. convergent and discriminant validity).

The estimates show cognitive evaluation as an important antecedent for expectation which is shaped primarily by the entrepreneurs’ beliefs (perception) and also influenced by the owners’ innovativeness and culture. Culture further influences expectation. The study finds that facilitating condition, environmental pressure and country readiness are important antecedents of expectation and ICT use. The results also reveal that integration and the degree of ICT utilisation significantly affect SMEs’ performance. Surprisingly, the findings do not reveal any significant impact of ICT usage on performance which apparently suggests the possibility of the ICT productivity paradox. However, the analysis finally proves the non-existence of the paradox by demonstrating the mediating role of ICT integration and degree of utilisation explain the influence of information technology (IT) usage on firm performance which is consistent with the resource-based theory. The results suggest that the use of ICT can enhance SMEs’ performance if the technology is integrated and properly utilised. SME owners or managers, interested stakeholders and policy makers may follow the study’s outcomes and focus on ICT integration and degree of utilisation with a view to attaining superior organisational performance.

This study urges concerned business enterprises and government to look at the environmental and cultural factors with a view to achieving ICT usage success in terms of enhanced firm performance. In particular, improving organisational practices and procedures by eliminating the traditional power distance inside organisations and implementing necessary rules and regulations are important actions for managing environmental and cultural uncertainties. The application of a Bengali user interface may help to ensure the productivity of ICT use by SMEs in Bangladesh. Establishing a favourable national technology infrastructure and legal environment may contribute positively to improving the overall situation. This study also suggests some changes and modifications in the country’s existing policies and strategies. The government and policy makers should undertake mass promotional programs to disseminate information about the various uses of computers and their contribution in developing better organisational performance. Organising specialised training programs for SME capacity building may succeed in attaining the motivation for SMEs to use ICT. Ensuring easy access to the technology by providing loans, grants and subsidies is important. Various stakeholders, partners and related organisations should come forward to support government policies and priorities in order to ensure the productive use of ICT among SMEs which finally will help to foster Bangladesh’s economic development.

The purpose of this paper is to devise recommendations for firms to formulate modes of value capture for their product innovations, ex ante. More specifically, the research question is: how can innovators try to maximize, ex ante, the appropriation of the rent they can derive from their innovating projects?

A theoretical framework is developed and proposed to assess modes of value capture of product innovations and two illustrations are provided to show how the framework can work in practice for innovation projects.

This paper presents a practitioner's view based on the development of an original concept of rent configuration and appropriable rent.

In terms of research limitations, the possible endogeneity of intellectual property protection and the timing of were not considered.

The framework allows a set of predictions regarding modes of value capture for product innovators.

The paper's contribution lies in the proposal of an integrative framework based on the concept of rent configuration, separating analytically three dimensions of innovation value, namely volume, profit and duration. This concept allows the authors to present a richer set of recommendations in comparison to previous frameworks, in order to avoid adopting the form of a yes/no decision tree that tends to over simplify the issues at stake. The authors also contemplate not only erosion effects, but also amplification effects on the rent, which constitutes another contribution of this paper.

This paper aims to present an assessment framework which captures the essential characteristics and holistic success factors for disruptive innovation based on the original theory of Christensen, a number of clarifications as reported in the literature and a study of known, successful cases in the literature.

The framework was designed based on the improved understanding of disruptive innovation challenges and on the holistic consideration of innovation as a dynamic process. It consists of structured questions which could be used to guide detailed data collection and analysis needed to answer the key questions which constitute the assessment framework. They are grouped under market positioning, technology and other favourable drivers.

A simple yet comprehensive assessment framework for disruptive innovation has been developed. Two of the known successful cases, namely the steel minimill of Nucor and the 3.5 inch disk drive of Conner/Seagate, were presented in more detail to illustrate the use of this systematic framework in assessing the success potential of these cases of disruptive innovations in either the low‐end or new markets. A third and fairly new example, that of the limited mobile phone system/product of UTStarcom, was then presented to illustrate a case where the framework revealed reasons for potential failure. A fourth example of Google's web‐based office applications then illustrated how the framework might be used to study the disruptive potential of a new product.

This paper enables a more accurate and systematic assessment of disruptive innovation. The framework also has the potential to be further developed into a systematic tool for answering the question of whether the disruptive innovation theory could indeed be used to provide ex ante prediction of the success of a new disruptive innovation.

This paper aims to propose an assessment framework to evaluate companies' innovation capability in the context of industrial clusters.

The assessment framework was built based on the Graph-Theoretic Approach (GTA) to measure the influence of the factors and sub-factors of innovation capabilities. To quantify the level of interdependence between factors and sub-factors of innovation capability Delphi method was adopted. The authors developed five case studies in firms from an Information and Communications Technology and Creative Economy cluster in Northeastern Brazil to test the framework's applicability.

The results showed that identifying and evaluating the factors of innovation capability allows a larger understanding of what affects these capabilities to a greater or lesser extent and contributes to strategic decision-making.

The framework evaluates the innovation capability of each firm, not providing an index for the whole industrial cluster. Besides, the framework does not consider the innovations developed by the companies through the innovation's capabilities. As the Delphi technique was adopted to analyze the levels of influence or interdependence between factors and sub-factors of innovation capability, different experts may lead to different results.

Among the managerial implications, the authors can highlight the innovation capability index as a practical performance measure to stimulate improvement initiatives regarding innovations in industrial clusters. Besides, as the proposed framework is generic, research organizations, public institutions and regional governments can adopt it to analyze innovation capabilities in cluster-based companies.

Previous industrial cluster studies have concentrated on knowledge transfer as the main attribute influencing innovation capabilities. The literature also presents assessment frameworks focusing on qualitative analyses or innovation capabilities outcomes (patents and products). Differently, the authors proposed a quantitative assessment framework considering specific factors (and sub-factors) of innovation capabilities in industrial clusters.

While the trade sector has long been the backbone of growth followed by real estate development in Dubai, the impact of reduced oil revenues in the Gulf Cooperation Council (GCC) has affected Dubai. GCC countries have identified innovation and transitioning to a knowledge-based economy as critical components of sustainable growth in the post-oil world. The purpose of this chapter is twofold: (1) to examine UAE’s competitiveness relative to four economies for which we can draw meaningful conclusions (Qatar, Singapore, Norway, and Switzerland) and (2) to integrate macro- and micro-level findings in an actionable framework. Using the composite Knowledge Economy Index (KEI) developed by the World Bank (2008, 2012), we conclude that UAE should prioritize three key areas to ­transition to a knowledge-based economy: the regulatory regime, innovation, and human capital. These findings are consistent with a recent study by the UAE Department of Economic Development/INSEAD, which highlights two areas that need addressing: “Creation” (knowledge creation) and “Anchoring” (institutional environment for innovation). We integrate these macro-level findings with research at the innovation ecosystem level (and particularly survey-based research completed by Wamda Research Lab) to propose a comprehensive action framework across all ecosystem stakeholders (i.e., government, entrepreneurs, academia, support ecosystem, and corporates). The action matrix allows individual stakeholders to drive corresponding actions and prioritize across short- and long-term initiatives.

The purpose of this paper is to explore the role of context in service innovation by developing a conceptual framework that illuminates the key elements and trends in context change.

The paper adopts a service ecosystem lens for understanding how elements and trends in context foster service innovation. A conceptual framework identifying the role of context change in fostering service innovation is developed and justified through illustrations across industry settings of health, retailing, banking and education.

Context change is conceptualized by three trends – speed, granularity and liquification – that provide an analytical foundation for understanding how changes in the elements of context – space, resources and institutional arrangements – can foster service innovation. The analysis indicates emerging patterns across industries that allow exploring scenarios, grounded in emerging trends and developments in service innovation toward 2050.

Managers are offered a framework to guide service innovation and help them prepare for the future. The paper also suggests areas for further research.

The paper contributes with a new conceptualization of context change to identify and explain service innovation opportunities. Managers are offered a framework to guide service innovation and help them prepare for 2050. The paper also suggests areas for further service innovation research, zooming in on contextual changes to prepare for 2050.

The purpose of this paper is to suggest how firms could use big data to facilitate product innovation processes, by shortening the time to market, improving customers’ product adoption and reducing costs.

The research is based on a two-step approach. First, this research identifies four potential key success factors for organisations to integrate big data in accelerating their product innovation processes. The proposed factors are further examined and developed by conducting interviews with different organisation experts and academic researchers. Then a framework is developed based on the interview outputs. The framework sets out the key success factors involved in leveraging big data to reduce lead times and costs in product innovation processes.

The three determined key success factors are: accelerated innovation process; customer connection; and an ecosystem of innovation. The authors believe that the developed framework based on big data represents a paradigm shift. It can help firms to make new product development dramatically faster and less costly.

The proposed accelerated innovation processes demand a shift in traditional organisational culture and practices. It is, though, meaningful only for products and services with short life cycles. Moreover, the framework has not yet been widely tested.

This paper points to the vital role of big data in helping firms to accelerate product innovation processes. First of all, it allows organisations to launch new products to market as quickly as possible. Second, it helps organisations to determine the weaknesses of the product earlier in the development cycle. Third, it allows functionalities to be added to a product that customers are willing to pay a premium for, while eliminating features they do not want. Last, but not least, it identifies and then prioritises customer needs for specific markets.

The research shows that firms could harvest external knowledge and import ideas across organisational boundaries. An accelerated innovation process based on big data is characterised by a multidimensional process involving intelligence efforts, relentless data collection and flexible working relationships with team members.

Seeking to distil and integrate a range of previous definitions, models, frameworks and classifications relating to types of innovation, this paper aims to make a contribution to clarity in innovation research and practice through offering insights into the definitions of the different types of innovation, and, specifically, the relationships between them.

This theoretical paper is based on a review of extant models and frameworks of types of innovation, which includes earlier foundation models, and more recent integrative models.

This distillation results in a diagrammatic representation of the key frameworks, which is used as a platform to propose a new framework of types of innovation.

This paper draws on all the terminologies used for types of innovation and creates an innovation type‐mapping tool that can be used to clarify the various definitions and terminologies of the innovation type concept.