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Companies are increasingly leveraging digital technologies toward innovation strategies that deliver novel features to customers sequentially through successive new product generations (i.e., successive innovation). Extant literature examining successive innovation is both limited and fragmented across marketing and management literatures. Our goal is to synthesize literature on concepts related to successive innovation (such as versioning and upgrades) to identify the core dimensions of successive innovation and provide a cohesive framework to guide future research in this domain.

Given the equivocality in understanding the conceptual domain of successive innovation, we review and synthesize literature across three disciplinary domains: marketing, management, and information and decision sciences. Based on the emerging patterns from the literature review, we develop a conceptual framework of successive innovation with the aim of moving the discussion toward greater theoretical clarity.

Based on the literature review and synthesis, we identify three core-dimensions that define successive innovation and compare these across digital and physical product realms: coexistence, embeddedness, and adoption controllability.

Our proposed conceptual dimensions of successive innovation, and discussion of differences across physical and digital product domains, offer important directions for future research and a common vocabulary.

As physical and digital successive innovations can differ in coexistence, embeddedness, and adoption controllability, firms need to consider relevant barriers to adoption of successive product generations and select appropriate strategies to promote and communicate successive innovation. Our proposed successive innovation conceptual dimensions help managers comprehend the complexity of arranging such innovation in business and consumer segments.

Our contribution to the emerging literature on successive innovation is threefold. First, by conducting a comprehensive literature review, we integrate insights from different fields of inquiry (i.e., marketing, management, and information and decision sciences). Second, based on the synthesis of the literature, we offer a conceptual framework of successive innovation, which aims to move the discussion toward greater theoretical clarity. Third, based on our review and conceptual framework, we discuss a set of future research directions to guide academic research efforts.

The purpose of this paper is to measure the separate and interrelated effects of three aspects of intellectual capital (human, social and organizational capital) on innovation generation and adoption.

Data were collected from 318 respondents’ of chemical firms. This study used multiple regression analysis to analyze the influence of human, organizational and social capital on innovation generation and adoption.

Results suggest that organizational capital exerts significantly positive impact on innovation adoption. In the same vein, social capital exerts significantly positive impact on both innovation generation and adoption. Moreover, interaction of social capital further strengthens the influence of organizational capital on innovation adoption. Contrary to hypotheses, human capital does not exert significant influence on innovation generation. However, interaction of social capital further strengthens the impact of human capital on innovation generation.

Findings offer implications for modern managers to utilize the knowledge that resides in firm’s different locations. It also enhances managerial ability to identify and apply these knowledge resources to expedite innovation generation and adoption.

Innovation generation and adoption plays a critical role in firm’s acquiring success and competitive advantage, yet the influence of intellectual capital on innovation generation and adoption mostly remains as unexplained puzzle. This study contributes to knowledge-innovation literature by examining the missing link between different types of knowledge and innovation generation and adoption. It also helps to comprehend the enabling factors through which firms capitalize upon, and obtain, a sustainable competitive advantage.

The purpose of this paper is to clarify the generation–innovation relationship in family firms. The study acknowledges that the degree of family influence on a firm varies over generations and tests if the generation–innovation relationship is affected by two defining characteristics of family influence (family management and intention to transfer family control). Based on recent research that deconstructed a family’s influence, this paper seeks to contribute to disentangling the ambivalent findings on family firm innovation.

The study draws on the Community Innovation Survey and analyzes a comprehensive data set of German family firms. The analysis builds on a structural equation model and tests if the two defining characteristics of family influence serve as mediators in the generation–innovation relationship.

The study suggests that family firms raise their innovation output over generations. Yet, a considerable fraction of the increase occurs via indirect paths – particularly via the intent to transfer family control to succeeding generations. The results indicate that increased family influence has positive and negative effects on innovation, reinforcing the need for careful application of the family firm definition.

The sample is exclusively composed of German firms and the generalizability of the findings is limited. Future researchers may also overcome further limitations related to the survey data used.

The results urge family firm leaders to recognize the vital role of succession planning and non-family management involvement in an innovation context.

The study deconstructs the varying degree of family influence over generations and adds to the fields of family firm innovation, family firm definitions and typologies.

The current research aimed to investigate the external enablement role of Digital Infrastructures (DI) in the interplay of entrepreneurial cognitions and innovation.

Data from the Global Entrepreneurship Monitor (GEM) and Digital Economy and Society Index (DESI) were used for analyses. This yielded a sample of 8,601 Generation Z entrepreneurs operating in 25 European countries.

Applying hierarchical moderated regressions showed that socio-cognitive components of an entrepreneurial mindset (self-efficacy, risk propensity, opportunity identification) affect innovation among Generation Z entrepreneurs. More importantly, DI plays an external enablement role in the interplay of cognitions and innovation among Generation Z entrepreneurs.

This study contributes to the socio-cognitive theory of entrepreneurship by integrating an external enablement perspective into the study of cognitions and entrepreneurial outcomes (here, innovation). It contributes to the digital technology perspective of entrepreneurship by connecting the conversation about the socio-cognitive perspective of entrepreneurship regarding the role of cognitions in innovation to the conversation in information systems (IS) regarding technology affordances and constraints. This study extends the application of the external enabler framework to the post-entry stage of entrepreneurial activity and integrates a generational perspective into it.

The purpose of this study is to develop a theoretical model for examining how innovation speed mediates the relationship between knowledge management (KM) and performance and empirically tests the proposed model using data collected in the USA and China over three years.

To avoid common method bias and increase ability to draw causal effects of KM on performance, data were collected over three years. KM data were collected by survey; innovation speed data were collected in the following year; and sales growth and gross margin data were collected over the next three years. After merging the three data sets, the final empirical data used for this study contained data from 354 USA and 647 Chinese firms. Multiple regression analyses were used to test the research hypotheses. Sobel mediation tests were performed to test the mediating effects of innovation speed on the relationship between KM and performance.

Innovation speed has a U-shaped relationship with performance in both US and Chinese firms. Knowledge generation has an inverted U-shaped relationship with innovation speed in both US and Chinese firms. Knowledge dissemination increases innovation speed in US firms but not in Chinese firms. While knowledge application increases innovation speed in the US firms, it decreases innovation speed in Chinese firms.

This study is among the first to propose and empirically test the KM-innovation speed-performance relationship. This paper advances the KM literature by demonstrating that there is an inverted U-shaped relationship between knowledge generation and innovation speed and that there is a U-shaped relationship between innovation speed and performance. In addition, this study contributed to the cross-national study of KM.

The complex and changeable working environment makes individual cross-boundary activities inevitable. Yet, how employee's boundary-spanning behavior (BSB) stimulates innovation performance remains to be further explored. This study aims to analyze the intermediary mechanism and boundary conditions between employee's BSB and innovation performance based on knowledge integration theory.

The authors collected data in two waves (July and August 2017) and from two hierarchical levels (from the final sample of 286 employees and their 29 direct supervisors) within ten manufacturing firms located in Nanjing and Anhui, China.

The results indicate that creative ideas generation mediates the relationship between employee's BSB and innovation performance. Moreover, employees with higher levels of team task interdependence (TTI) lead to a stronger relationship between ideas generation and innovation performance compared to lower levels of TTI (positively moderates the second stage of mediation).

By verifying the key effects of ideas generation and TTI between employee's BSB and innovation performance, the findings of this study provide practical guidance for enterprises to improve the efficiency of employee's BSB.

First, the authors use knowledge integration theory (Grant, 1996a) to deduce the formation process of the mechanism between employee's BSB and his/her innovation results, which clearly shows the driving forces and integral power of the formation process within an individual knowledge integrating system. The authors’ second contribution is further exploring the conditions under which engaging innovative ideas generated by the integration of employee's BSB is more likely to lead to ideas for implementation by examining TTI as a team-level moderator.

In order to understand today's innovation models, we need to look at the historical development of these models. This chapter describes the succession of the R&D management generations and discusses the innovation models in each generation (Section 2). The shortcomings of these models and the requirements for improved versions are summarized in Section 3. In Section 4, we will explain why new models of innovation should be circular and multi-layered.

In a dynamic environment where underlying competition is “for the market,” this chapter examines what happens when entrants and incumbents can instead negotiate for the market. For instance, this might arise when an entrant innovator can choose to license to or be acquired by an incumbent firm (i.e., engage in cooperative commercialization). It is demonstrated that, depending upon the level of firms’ potential dynamic capabilities, there may or may not be gains to trade between incumbents and entrants in a cumulative innovation environment; that is, entrants may not be adequately compensated for losses in future innovative potential. This stands in contrast to static analyses that overwhelmingly identify positive gains to trade from such cooperation.

In today's digitalized world, platform leadership is a novel leadership style that facilitates employee innovation. However, the impact mechanism of platform leadership on employee innovation passion has not been explored.

In this study, based on the theory of a self-organizing objective system, 591 new-generation employees were surveyed to explore the impact of platform leadership on the harmonious innovation passion of new-generation employees.

The results showed that platform leadership stimulates the harmonious innovation passion of employees by promoting the integration of organizational and employee objectives. This mechanism was found to be weakened by the internal integrated organizational culture and strengthened by the external adaptive organizational culture.

This study explores the mechanism by which platform leadership style influences the harmonious innovation passion of new-generation employees and provides theoretical guidance and practical insight into ways to improve the innovation capability of new-generation employees.

The purpose of this study is to offer implications and future research directions related to new organizational forms like crowds. Organizations are increasingly relying on online crowds to innovate through mechanisms such as crowdsourcing, open innovation, innovation challenges and tournaments. To leverage the "wisdom of crowds", crowdsourcing platforms that enable heterogeneous knowledge sharing in crowds lead to novel solution generation by individuals in the crowd. Based on the associative variety memory model of creativity, the authors hypothesize that when a crowd contributes a heterogeneous knowledge in form of a variety of knowledge associations, individual crowd members tend to generate solutions that are more novel. In contrast to the brainstorming view that focuses on ideas as knowledge, the authors propose, test, find and elaborate on implications of crowd sharing of heterogeneous knowledge for the generation of innovation, i.e. novel ideas. The authors coded and analyzed all the posts in 20 innovation challenges leveraging online temporary crowds that were structured to foster knowledge sharing as part of the idea generation process. The analysis shows a positive relationship between the variety of knowledge associations contributed by the crowd and the generation of novel solutions by individuals in the crowd. Further, the variety of knowledge associations contributed by the crowd has a stronger relationship with novel solution generation than the number of associations generated by the crowd, i.e. variety of knowledge has a greater impact than either the quantity of knowledge or the number of solution-ideas shared. The authors offer four implications and several future directions for research on the new organizational form of online crowds.

The authors coded and analyzed all the posts in 20 innovation challenges. They also designed and ran these challenges in collaboration with corporate sponsors. The ideas in the challenge were rated by senior executive at each company using a creative forecasting method.

The variety of knowledge associations contributed by the crowd has a stronger relationship with novel solution generation than the number of associations generated by the crowd, i.e. variety of knowledge has a greater impact than either the quantity of knowledge or the number of solution-ideas shared.

The authors offer four implications and several future directions for research on the new organizational form of online crowds.

The authors propose several ways in which companies running innovation challenges can moderate and encourage crowd to generate a variety of knowledge.

The authors believe that we are the first empirical paper to emphasize and show that associative variety of knowledge sharing in crowds has impact on novel idea generation by crowds. This view is counter to "electronic brainstorming" view where crowd is asked to just generate these ideas and often just submit their ideas to the sponsor. Their view also goes beyond knowledge refinement of ideas by crowds to more of knowledge integration by crowds.