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This chapter explores authentic leadership at the ‘edge of chaos’ – a transitional period from one kind of stability to another triggered by the emergence and implementation of newness. The authors argue that continuous, abrupt or unpredictable change at the edge of chaos impacts authentic leadership, resulting in the development of new values, new perspectives on legitimacy and new identities. Kinyanjui and Turcan identify four leader legitimation strategies, when introducing newness at the edge of chaos: feedback loop; conformance; familiar cues; and consistency and repetition. Kinyanjui and Turcan call for future research into the co-emergence of newness at the edge of chaos to equip decision-makers and policy-makers with a better understanding of legitimation strategies in the implementation of newness.

In this paper we appraise the ways in which use of closed-system proprietary product architectures versus open-system modular product architectures is likely to influence the dynamics and trajectory of new product market formation. We compare the evolutions of new markets in China for gas-powered two-wheeled vehicles (G2WVs) based (initially) on closed-system proprietary architectures and for electric-powered two-wheeled vehicles (E2WVs) based on open-system modular architectures. We draw on this comparison to suggest ways in which the use of the two different kinds of architectures as the basis for new kinds of products may result in very different patterns and speeds of new market formation. We then suggest some key implications of the different dynamics of market formation associated with open-system modular architectures for both the competence-based strategic management (CBSM) of firms and for technology and economic development policies of governments.

Specifically, we suggest how the use of open-system modular product architectures as the basis for new products is likely to result in dynamics of new market formation that call for new approaches to the strategic management of innovation and product creation. We also suggest technology and economic development policies favoring use of open-system modular architectures may stimulate new market formation and related economic development by providing platforms for accelerating technology development and dissemination, facilitating the formation of an industrial base of assemblers and component suppliers, assisting new firms in building customer relationships, enabling more geographically diffused economic development within countries, and facilitating development of export markets. We also suggest directions for further research into the potential for open-system modular product architectures to enable bottom-of-the-pyramid innovation processes, frugal engineering in developing economies, and development of low-cost product variations more generally.

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 application of network theory and social network analysis (SNA) to tourism and hospitality is recent. Nonetheless, several authors have been applying the method contributing to regional planning, local-level tourism networks, tourism policy and governance, innovation, entrepreneurship, knowledge transfer, and learning. This chapter aims to characterize the use of SNA in tourism and hospitality research. Specifically, it intends to: (i) present the framework of SNA in a methodological perspective; (ii) perform a bibliometric analysis of SNA use in tourism and hospitality research; (iii) systematize the dimensions and metrics that researchers can use to apply SNA, namely the relevance for tourism; and (iv) present a case study analyzing tourism innovation networks. This chapter brings important contributions to tourism and hospitality research and practice, by focusing on the theoretical framework and practical application of SNA, providing relevant conceptual and practical knowledge that will empower researchers to use this method in tourism and hospitality studies.

This paper examines three issues. First, do multiple possible paths to high versus low new product performance (NPP) occur among European, high-tech, industrial manufacturing firms? Second, what are the upstream influences on high NPP? For example, what background factors affect the levels of the KSFs? Third, do consistent country-level differences occur among Austrian, German, and Swedish executives in their evaluations of antecedents and high-tech NPP? To probe these issues, a total of 771 chief operating officers and project managers participated in face-to-face long interviews (McCracken, 1988) covering 241 less and 264 more successful than average industrial NPD projects. The empirical findings support the propositions that: (1) multiple paths lead to high versus low NPP; (2) unique antecedent variables affect the KSFs for high NPP; and (3) for several upstream and direct influences, consistent national differences occur among executives’ assessments of NPP. A key implication of the study for NPD executives is to recognize the possibility of alternative paths leading to successful NPD.

As the hospitality industry is shifting its focus from service to experience, customers are becoming co-creators of the perceived value of a hospitality service because experiences customers obtained when consuming a hospitality service involve the participation of the customers. Thus, more research is needed to examine the relationships among consumer’s personal factors and their evaluations of hospitality services. This study developed and tested hypotheses that examined the effects of customers’ intrinsic characteristics on their evaluations of a restaurant service. Data were collected from college students in the United States (n = 220) and China (n = 254) using a scenario approach. Findings reveal that customers’ gender, personality, and cultural background had significant effects on their evaluations of a restaurant service. Specifically, female customers rated the same service higher than male customers on the reliability dimension of service quality and overall service quality; customers with personalities of extroversion, conscientiousness, agreeableness, and openness rated the service higher than customers with neuroticism personality on the responsiveness dimension; and customers in individualistic cultures rated the service higher than those in collectivistic cultures on most of the service evaluation measures. Implications of the study’s findings are discussed.