A fast method for analysing and improving complex software processes

This paper presents a simple, fast method (or management tool) for the analysis and improvement of software-intensive complex products and systems (CoPS) called software analysis-software improvement (SA-SI). The tool relies on outside intervention, rapid data collection and structured in-company workshops. The distinctive feature of the method is that it focuses on the 'soft', human side of the software development process and examines and compares formal (or rational) processes ('what should be') with real, actual practices ('what is'), in order to identify problems, their causes and strategies for improvement. The tool complements existing formal approaches by delivering a 'bottom up', grass roots, practitioner view of real processes in action. The purpose of SA-SI is to help overcome the severe problems of measuring, analysing and improving performance in large scale, complex software projects. An illustrative case example (Company X) is used to show how the tool is applied and how it confronts the problem of actual/real processes differing from ideal/formal processes. It also shows how SA-SI is used to identify process 'hot spots'(severe problems), analyse their causes and identify solutions. The paper provides guidance on typical problems encountered in running SA-SI and how to overcome them. It also shows how the tool has been modified and extended to deal with other complex domains and innovation management issues. Although SA-SI cannot be a substitute for a change programme, it can play a useful part in complementing ongoing improvement activities. From a research perspective, the method helps link up studies from the organisational development and software fields and assists in 'closing the loop' between innovation research and business practice.     

Models with graphical representation for innovation management: a literature review

In the last decades, the management of innovation has achieved increasing importance in both academic and business environments. For the companies, an effective engagement in innovation efforts involves the adoption of management models to guide the definition of organizational processes to conduct innovation opportunities throughout the organization. In this context, graphical representations can strongly communicate the central propositions of each model, accelerating the diffusion and influence of such models in both academic and business environments. Based on an academic database search, and snowball procedure, models were selected considering the unique characteristics of their graphical representation. This article contributes to the knowledge in the field by proposing a typology of innovation management models, highlighting model's biases, gaps, strengths and weaknesses, and by identifying important tensions among models that spillover to the innovation management field in both research and practice. This article discusses conflicts regarding the limits of the innovation process (events that start and end the process and complementary approaches), the limits of focusing on processes, the differentiation of research and development and new product development activities. In the end, the article addresses emerging approaches related to radical innovation, design thinking and startups, and stresses contributions for research and practice.     

Towards an integrated framework for managing the process of innovation

Innovation has become a major driving force for business growth and success. However, successful and sustained innovation represents challenges rooted in technological uncertainties, ambiguous market signals and embryonic competitive structures. Notably, in the management of innovation, many challenges still remain in both theory and practice, which demand improved managerial approaches. In this context, the development of a practical and explicit management framework for the process of innovation could be beneficial. This research sets out to develop the concept of ‘Innovation Readiness Levels’ (IRL), an explicit model for managing the process of incremental innovation. Basically, IRL is a framework depicting the development of an innovation over its lifecycle. Within the emerging framework proposed in this paper, five key aspects that determine the effective implementation of innovation are identified. The lifecycle of innovation is then divided into six phases, and for each phase, associated assessment aspects and criteria are identified. By providing better monitoring and control, IRL is intended to help implement innovation over the lifecycle more effectively. It is also expected to apply as a management tool, for which guidance of use is suggested.     

Managing innovation in a knowledge intensive technology organisation (KITO)

This study aims to add to the existing knowledge of how innovation works in organisations. By understanding how to assess/evaluate processes that support and enable innovation, managers can better manage innovation as a business process. This paper addresses elements of organisational behaviour that relate to people management where innovation and technology management is concerned. Perception plays a crucial role in driving behaviour and therefore the widely accepted business scorecard methodology has been used to measure innovation practices in the organisation. The research was done in a knowledge intensive technology organisation (KITO) in South Africa. Interviews with managers of R&D were conducted. These interviews were used to adapt an existing audit instrument to suit the technology–based organisation. Thereafter, a comprehensive audit of innovation was conducted at three different management levels using the adapted instrument. Over 100, mostly R&D managers, were asked to complete a scorecard–based questionnaire and to draw a visual representation (VR) of innovation. The results of the interviews, audit and VRs were used to produce a management framework that is not only applicable to a KITO, but can also be used widely to improve innovation through enhanced visual understanding of any technology–based organisation. The results of the study indicate that measuring innovation through a validated instrument is highly valuable. The Holistic System Framework for innovation and the measurement instrument facilitated (1) management of, and (2) organisational learning about innovation. The comprehensive audit indicated, on a strategic level, the strengths and weaknesses of the innovation process as practised in the organisation. The instrument is valuable at a strategic management level as it indicates where in the organisation the gaps exist regarding the management of the process of innovation with the aim to create a competitive advantage.     

Network picturing: An action research study of strategizing in business networks

Our paper is concerned with how managers understand their surrounding network and what strategic actions they take based on this insight. Recent research in the areas of network management and business relationships shows increasing interest in the interplay between cognition and action, particularly on how managers relate perceptions about their business network (“network picturing”) to decision-making and strategizing activities. In this study, we apply a novel research approach combining process research and action research methodology. Our sample is introduced to business network theories and concepts, and the use and adaptation of these concepts results in managerial options being articulated and applied. Our findings add new insight in the field of network strategy and network picturing. Network picturing represents a way to understand the boundaries of the firm and how this understanding affects managers' decisions. This differs from the fundamental distinction between the external and the internal environments of classical strategy analysis. In terms of network picturing, strategizing is a way to understand the resulting actions or network outcomes that managers see as viable within their surrounding network. We also provide a conceptual process exercise as an example of how this insight can be relevant for managers in their decision-making processes.     

Management innovation in complex products and systems: The case of integrated project teams

This paper examines the process of a management innovation in complex products and systems (CoPS). Prior literature offers limited theoretical and empirical insights into how an inter-organizational relationship delivers CoPS by moving towards ‘integrated project teams’ over time. The research is based on an in-depth, longitudinal case study, drawing on 34 semi-structured interviews and secondary data from following a client-contractor relationship in the UK water industry over time. The study draws out the various management innovation development phases. It also provides detailed insights in the developments and benefits of setting up integrated project teams. The study contributes to extant literature and practice by linking previously separate research streams of organizational design and management innovation with the management of CoPS.     

A Review of Longitudinal Research in the Product Innovation Field,with Discussion of Utility and Conduct of Sequence Analysis

This paper examines how longitudinality is investigated in innovation research. A review of longitudinal methods in innovation articles, published between 2000 and 2011, is undertaken. Our findings show that longitudinal approaches to data collection are gaining some credence, in line with increased criticism of the overuse of positivist methods to study process‐based phenomena. However, results demonstrate a dearth of systematic longitudinal analytical methods employed in product innovation research. Static analytical methods are prominent. These inevitably lead to static presentation of results, and this is borne out in our findings. Second, the paper discusses the conduct and utility of a specific technique for product innovation research: sequence analysis. By drawing on two studies, which apply sequence analysis in product innovation research, sequence analysis is shown to be a useful technique to achieve rigor in analyzing longitudinal data. The paper concludes by discussing how such systematic methods for analyzing longitudinality in the innovation field demand greater usage and exploration.     

User Involvement throughout the Innovation Process in High‐Tech Industries

The feedback and input of users have been an important part of product innovation in recent years. User input has been studied from different approaches and is applied through different methods in particular phases of the innovation process. However, these methods are not integrated into the whole innovation process and are used only in particular phases or on an ad hoc basis. New developments in technology, social media, and new ways of working closer with customers have opened up new possibilities for firms to gain user input throughout the whole innovation process. However, the impact that these new developments in technology offer for user input innovation in high‐tech firms is unclear. Therefore, we study how high‐tech firms collect and apply user feedback throughout the whole innovation process. The paper is based on a comparative case study of eight cases in the high‐tech industry, in which qualitative data collection was applied. The key contribution of the paper is a conceptual framework on user data‐driven innovation throughout the innovation cycle. This framework gives insight into user involvement types and approaches to collect and apply user feedback throughout the innovation process.     

Configurations of social media-enabled strategies for open innovation,firm performance,and their barriers to adoption

The use of social media offers tremendous innovation potential. Yet, while current research emphasizes success stories, little is known about how firms can leverage the full potential of their social media use for open innovation. In this paper, the authors address this gap by conducting a configurational analysis to develop an integrative taxonomy of social media-enabled strategies for open innovation. This analysis stems from the integration of internal and external variables such as social media communication activities, organizational innovation seekers, potential innovation providers, the stages of the open innovation process, and their relationship with different performance outcomes and barriers to social media adoption for open innovation. Through an empirical study of 337 firms based in eight countries, four clusters have been identified that are characterized as distinct strategies: “marketing semi-open innovators,” “cross-department semi-open innovators,” “cross-department full process semi-open innovators” and “broad adopters open innovators.” The findings reveal the trade-offs associated with different strategies for implementing social media for open innovation and provide insights of the use of these strategies. By doing so, they suggest a more nuanced approach that contrasts with the traditionally positive (or even rosy) depiction of the effects of social media on open innovation. Accordingly, managers are encouraged to contemplate their organizational competencies, capabilities, and their strategic intent when drafting social media strategies for open innovation. Selective approaches, along with greater adoption leading to greater benefits, are shown to be more rewarding than a middle way that spreads things too thin. Avenues for further research include qualitative explorations of the trajectories unfolding through implementing social media strategies for innovation activities and the use of objective performance measures rather than subjective perceptions from informants to understand the complex relationships between social media adoption and performance.     

Extending community management to industry-university-government organizations

There has been an emergence of collaborative research networks of industry-university-government relationships, or so-called Triple Helix (TH) organizations. Many TH organizations strive for research and innovation community management. In the innovation and knowledge management literature, community management offers open, participatory, and distributed innovation processes. How community management elements manifest, how they evolve, and what are related contingencies remain poorly understood, especially in the case of TH organizations. Our study examines how two TH organizations in Finland have adopted community management elements, how these elements have evolved, and the contingencies that have affected adoption and evolution. We report on the first 6 years of operations in two different TH organizations. Community-management elements have accommodated divergent interests in TH organizations, but they have also been subject to considerable degrees of conflict and tension. We extend the innovation community management literature by explicating community management elements in a TH context, we illustrate how TH organizations adopt and evolve these elements, and we identify two contingencies for community management elements in a TH context.     

Exploring open innovation practice in firm-nonprofit engagements: a corporate social responsibility perspective

This paper examines the concept of open innovation within the context of corporate social responsibility. It demonstrates how the practice of open innovation unfolds in inter-organizational collaborations that involve the voluntary or charitable sector, outlining the findings of an explorative collective case study of eight voluntary dyadic partnerships between corporate and nonprofit organizations in the United Kingdom, which have resulted in innovation outcomes. Two generic approaches to open innovation were witnessed: firstly, a more exploratory approach to dyadic engagement activities that resulted in an emergent innovation process, and secondly, a focused and pre-determined search activity to exploit the resources of the nonprofit partner that demonstrated a more planned innovation process. Two distinct boundary-spanning roles were identified: in dyads exhibiting few organizational linkages, the role was associated with formal responsibilities from senior management to 'manage' innovation opportunities and outcomes. In dyads exhibiting high linkages, there was no such formality; the role was a 'conduit' to facilitate search and exploration to locate opportunities for innovation through idea exchange. Overall, this research demonstrates the value of an open innovation approach driven by the need to address societal and social issues (rather than those purely economic). Such practice broadens a firm's 'search' activities and delivers innovations in exchange for enhanced social legitimacy – acting innovation capital for future enterprising activities and market advantage.     

An Organizational Learning Approach to Product Innovation

This article examines product innovation as an organizational learning process. It provides a framework allowing managers and scholars to relate product-innovation learning skills to organizational goals. Daryl McKee shows how different types of organizational learning skills are involved in incremental innovation, discontinuous innovation and institutionalization of innovation within the organization. This conceptualization can help scholars and managers diagnose an organization's learning skills and how they relate to new product management; direct the organization toward learning more efficient and effective product innovation; and provide scholars with a structure for future research.     

Development of a Technical Innovation Audit

Measuring performance is helpful, but it's only part of the story. To learn from our past successes and failures, we need to understand how they came about. To continually improve, we must examine not only our innovation performance, but the processes with which we develop and exploit these innovations. Vittorio Chiesa, Paul Coughlan, and Chris Voss present a framework for auditing technical innovation management. Their auditing methodology goes beyond performance measurement by highlighting problems and needs, and providing information that can be used in developing action plans for improving performance. The foundation of their audit methodology is a process model of technical innovation. The model addresses the managerial processes and the organizational mechanisms through which innovation is performed. Underlying this method is the notion that success in innovation is related to good practice in the relevant management processes. The model identifies four core processes: concept generation, product development, process innovation, and technology acquisition. Supporting these core processes are three enabling processes: the deployment of human and financial resources, the effective use of appropriate systems and tools, and senior management leadership and direction. The outcome from these core and enabling processes is performance in terms of innovation and the resulting competitiveness in the marketplace. This model provides the basis for a detailed audit of current innovation practice and performance. The audit has two dimensions: the process audit assesses whether the processes necessary for innovation are in place and the degree to which best practice is used; and the performance audit focuses on the outcomes of each core and enabling process and of the overall process of technological innovation and its effect on competitiveness. The performance audit helps identify needs and problems, but it doesn't explain why gaps exist between current and required performance and it doesn't provide an action plan for closing these gaps. The process audit meets these needs. The audit methodology uses a two-level approach: a rapid assessment based on innovation scorecards and an in-depth audit. These scorecards provide an overview of the company's strengths and weaknesses with regard to technical innovation management, highlighting those areas that require in-depth examination. The in-depth audit identifies not only the processes, but the areas within each requiring attention.     

Entrepreneurship through relationships – navigating from creativity to commercialisation

This paper explores the role of relationships in the emergence of a network's value creation structure. The strategic navigation from creative exploration to global exploitation through the use of so-called transformation networks is particularly highlighted. The creativity phase requires a creator with visionary leadership. The commercialisation phase, on the other hand, requires technology integration and global marketing excellence. Realising that this requires more than a bright inventor, the creator of Anoto brought in the right complementary assets at distinct phases of the commercialisation process. Our case illustrates how integrator and marketeer profiles were brought into a networked act of entrepreneurship for joint navigation across an ocean of relationships that gave birth to a global standard for digital writing. By combining theories on open innovation and networking, a theoretical framework is developed to analyse the different nature of the networks (or the value creation structure) in which complementary assets can be accessed, transferred and transformed into commercialised innovation. The analysis suggests that the value of complementary assets are embedded in and unlocked by three distinct types of networks: creativity networks, transformation networks and process networks. It also suggests that the ideal approach to accessing complementary assets shifts over the research and development management process, and happens through these three different types and levels of networks, requiring fundamentally different approaches to leadership and relationship management. Current literature describes open and networked innovation as a continuous – not dynamic – process of exploration and exploitation without any distinction of how types and structures of networks evolve and interact in the process.     

What Keeps Managers Away from a Losing Course of Action? Go/Stop Decisions in New Product Development

The purpose of this experimental study is to test whether specific approaches can reduce escalation of commitment—namely, decision‐makers' tendency to persist with an innovation project despite negative feedback that the initial investment has not reached its goals. This study focuses on the decision process for 137 research and development managers who must decide whether to abandon previously chosen courses of action or to continue in the face of probable and increasing losses in a stage‐gate system. The results show that visual decision aids and consultant advice reduce managers' decisions to continue funding a losing course of action. The results also show that using both approaches simultaneously has the strongest effect. Finally, the study reveals that the escalation of commitment issue can be reduced more effectively before an innovation project is commercialized while using both approaches.     

Product Development as Core Competence: How Formal Product Development Practices Differ for Radical,More Innovative,and Incremental Product Innovations

Although universally recognized as an important consideration in building product development (PD) competency, the effect of a firm's ability to vary its PD practices to develop winning products has been given scant attention in large‐scale, multiorganizational, quantitative studies. This research explores differences in formal new PD practices among three project types—incremental, more innovative, and radical. Using a sample of 380 business units, this research investigates how development practices differ across these three classes of innovation with respect to the formal PD process, project organization, PD strategy, organizational culture, and senior management commitment. Our results diverge from several commonly held beliefs about formal PD processes and the management of radical versus incremental innovations. Our results indicate that radical projects are managed less flexibly than incremental projects. Instead of being an offshoot of less strategic planning, radical projects are just as strategically aligned as incremental projects. Instead of being informally introduced entrepreneurial adventures, radical projects are often the result of more formal ideation methods. While these results may be counterintuitive to suppositional models of how to radical innovation happens, it is the central theme of this research to show how radical innovation actually happens. Our findings also provide a foundation for reexamining the role of control in the management of innovation. As the level of innovativeness increased, so too did the amount of controls imposed—e.g., less flexibility in the development process, more professional, full‐time project leadership, centralized executive oversight for new products, and formal financial assessments of expected NP performance.     

Leveraging External Sources of Innovation: A Review of Research on Open Innovation

This paper reviews research on open innovation that considers how and why firms commercialize external sources of innovations. It examines both the “outside‐in” and “coupled” modes of open innovation. From an analysis of prior research on how firms leverage external sources of innovation, it suggests a four‐phase model in which a linear process—(1) obtaining, (2) integrating, and (3) commercializing external innovations—is combined with (4) interaction between the firm and its collaborators. This model is used to classify papers taken from the top 25 innovation journals, complemented by highly cited work beyond those journals. A review of 291 open innovation‐related publications from these sources shows that the majority of these articles indeed address elements of this inbound open innovation process model. Specifically, it finds that researchers have front‐loaded their examination of the leveraging process, with an emphasis on obtaining innovations from external sources. However, there is a relative dearth of research related to integrating and commercializing these innovations. Research on obtaining innovations includes searching, enabling, filtering, and acquiring—each category with its own specific set of mechanisms and conditions. Integrating innovations has been mostly studied from an absorptive capacity perspective, with less attention given to the impact of competencies and culture (including “not invented here”). Commercializing innovations puts the most emphasis on how external innovations create value rather than how firms capture value from those innovations. Finally, the interaction phase considers both feedback for the linear process and reciprocal innovation processes such as cocreation, network collaboration, and community innovation. This review and synthesis suggests several gaps in prior research. One is a tendency to ignore the importance of business models, despite their central role in distinguishing open innovation from earlier research on interorganizational collaboration in innovation. Another gap is a tendency in open innovation to use “innovation” in a way inconsistent with earlier definitions in innovation management. The paper concludes with recommendations for future research that include examining the end‐to‐end innovation commercialization process, and studying the moderators and limits of leveraging external sources of innovation.     

Global Outsourcing Relationships and Innovation: A Conceptual Framework and Research Propositions

Increasing globalization and the rapid growth of information technologies, including the Internet, have resulted in drastic changes in international activities of companies. Once limited to manufactured goods, currently, global outsourcing encompasses a wide variety of knowledge‐based services, such as accounting, financial services, taxation, customer service, information technology, engineering drawings, human resources, research and development (R&D), data processing, and sales. The domain of outsourcing knowledge‐based services is the focus of this paper. Moving beyond the inevitability of global outsourcing, this research takes the perspective of the outsourcer and focuses on managing its transition to providers in the context of innovation. In addition to delivering projected cost benefits to outsourcers, effective transition management can facilitate the generation of innovations. This research attempts to extend the current academic research on global outsourcing in three ways: (1) It offers a framework for understanding the transition process in outsourcing and its relationship to innovation; (2) it takes a broader perspective of outsourcing, including globalization, knowledge‐based services, and core activities of the firm; and (3) using a parsimonious set of theoretical concepts based on control theory, it develops several research propositions to clarify the linkages between variables. Based on our theorizing, outsourcing top management should ask two questions when planning outsourcing of knowledge‐based services to generate innovations in a globalized world. These two questions are: (1) How close is the task to our core competence? And (2) how much tacit knowledge is involved in doing the outsourced task? Next, managers must identify global providers and then spend considerable thought in operational execution of the transition of the task for that is the only time that both complete teams will work together. For tasks that are close to core competence, rigid‐explicit behavioral controls should be put in place; however, for tasks that have high tacit knowledge content, high norms‐based relational control would be more effective. These different types of controls would lead to different innovation outcomes. Rigid‐explicit behavioral controls would produce incremental innovation while relational norms‐based controls would encourage radical innovation.     

Design,Meanings, and Radical Innovation: A Metamodel and a Research Agenda*

Recent studies on design management have helped us to better comprehend how companies can apply design to get closer to users and to better understand their needs; this is an approach usually referred to as user‐centered design. Yet analysis of design‐intensive manufacturers such as Alessi, Artemide, and other leading Italian firms shows that their innovation process hardly starts from a close observation of user needs and requirements. Rather, they follow a different strategy called design‐driven innovation in this paper. This strategy aims at radically change the emotional and symbolic content of products (i.e., their meanings and languages) through a deep understanding of broader changes in society, culture, and technology. Rather than being pulled by user requirements, design‐driven innovation is pushed by a firm's vision about possible new product meanings and languages that could diffuse in society. Design‐driven innovation, which plays such a crucial role in the innovation strategy of design intensive firms, has still remained largely unexplored. This paper aims at providing a possible direction to fill this empty spot in innovation management literature. In particular, first it proposes a metamodel for investigating design‐driven innovation in which a manufacturer's ability to understand, anticipate, and influence emergence of new product meanings is built by relying on external interpreters (e.g., designers, firms in other industries, suppliers, schools, artists, the media) that share its same problem: to understand the evolution of sociocultural models and to propose new visions and meanings. Managing design‐driven innovation therefore implies managing the interaction with these interpreters to access, share, and internalize knowledge on product languages and to influence shifts in sociocultural models. Second, the paper proposes a possible direction to scientifically investigate the management of this networked and collective research process. In particular, it shows that the process of creating breakthrough innovations of meanings partially mirrors the process of creating breakthrough technological innovations. Studies of design‐driven innovation may therefore benefit significantly from the existing body of theories in the field of technology management. The analysis of the analogies between these two types of radical innovations (i.e., meanings and technologies) allows a research agenda to be set for exploration of design‐driven innovation, a relevant as well as underinvestigated phenomenon.