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The European Union’s Digital Markets Act (DMA) calls for far-reaching changes to the way economic activity will occur in EU digital markets. Before its remedies are imposed, it is critical to assess their impacts on individual markets, the digital sector, and the overall European economy. The European Commission (EC) released an Impact Assessment in support of the DMA that purports to evaluate it using cost/benefit analysis.

An economic evaluation of the DMA should consider its full impacts on dynamic competition. The Impact Assessment neither assesses the DMA's impact on dynamic competition in the digital economy nor evaluates the impacts of specific DMA prohibitions and obligations. Instead, it considers benefits in general and largely ignores costs. We study its benefit assessments and find they are based on highly inappropriate methodologies and assumptions. A cost/benefit study using inappropriate methodologies and largely ignoring costs cannot provide a sound policy assessment.

Instead of promoting dynamic competition between platforms, the DMA will likely reinforce existing market structures, ossify market boundaries, and stunt European innovation. The DMA is likely to chill R&D by encouraging free riding on the investments of others, which discourages making those investments. Avoiding harm to innovation is critical because innovation delivers large, positive spillover benefits, driving increases in productivity, employment, wages, and prosperity.

The DMA prioritizes static over dynamic competition, with the potential to harm the European economy. Given this, the Impact Assessment does not demonstrate that the DMA will be beneficial overall, and its implementation must be carefully tailored to alleviate or lessen its potential to harm Europe’s economic performance.

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.

To investigate how the United Kingdom’s public museums, libraries and archives (collecting institutions) might, in the future, take strategic advantage of the dramatic changes in individual and social behaviours and expectations driven by the socio-technical determinism of the Internet since 2000.

The chapter summarises the evidence and outcomes of PhD research completed in 2015 that used the tools of hermeneutic phenomenology and systems theory to examine the current state of digital strategy within the United Kingdom’s collecting institutions and to compare this with the Internet’s fundamental drivers of change and innovation. The research sought not to predict the future, but to define the key opportunities and challenges facing collecting institutions in face of sustained socio-technical change to maintain strategic fit, delivering maximum value in the digital space.

The outcomes of the research demonstrated that libraries, like museums and archives, are ill-prepared to face continued socio-technical determinism. The key drivers of the Internet are single channel convergence, rapid innovation, instant two-way communication driving social interaction and dramatic change in the relationship between the supplier and the user. Collecting institutions, on the other hand, operate within vertically integrated silos restricting horizontal collaboration that has led to fragmentation of developments and constraints on strategy across and within the various institutional sectors. The major challenges that libraries must consider are summarised.

The research takes an approach that has never before been attempted, either in scope or depth of analysis. The conclusions may not make comfortable reading for practitioners, but they offer an agenda for new ways of thinking about how public institutions must change to sustain their strategic fit in a digital future.

The global shipping industry has been rocked by a wave of disruptive innovation driven by a thriving ecosystem of digital technology start-ups that have emerged in the last few years and set up offices in Greece. After the appearance of COVID-19, entrepreneurial leadership has grown in importance for guiding commercial shipping through times of exceptional circumstances. The problem is that there is a lack of understanding of the experiences of Greek digital entrepreneurs launching their tech start-ups within the maritime sector – from the initial vision to a real-world innovative business disruptor. We aim to answer the questions of who the Greek digital entrepreneur in the maritime sector is and how their entrepreneurial actions contribute to a growing knowledge base of digital entrepreneurship for future theoretical research and professional practice. This single-subject, archival case study demonstrates the social and commercial value of the “who” and “how” of digital entrepreneurship in the maritime sector through the case of Harbor Lab, an Athens-based start-up that disrupted the maritime industry through innovative use of emerging technologies to calculate disbursements (port expenses) and through the establishment of a horizontal, empathetic, open workplace culture. The outcomes of this study contributed a fresh perspective of scholarly knowledge on digital entrepreneurship for future theoretical research and professional practice.

Digital disruption no longer ensures the security or longevity of established firm structures and business models. Instead, it necessitates that firms reinvent their business models, including business processes, people, and technologies that align with the organizational goals. Despite the exponential growth of digital disruption, prior literature indicates that the concept of business model innovation is poorly understood in developing economies. Furthermore, little is known about how low-tech firms in developing economies should adapt and reinvent their business models to cope with and shape digital disruption as it unfolds. Grounded in two overarching theoretical frameworks, namely the theory of disruptive innovation and the resources–processes–values (RPV) framework, this chapter addresses this void in prior literature. Based on multiple case study analyses of 10 low-tech firms in diverse industries in Sri Lanka, the findings indicate that successful disruptive business model innovation in low-tech firms in Sri Lanka is predicated on an effective technology management strategy, suitable organizational structure, compatible organizational culture, and devoted corporate governance. Moreover, external influences like changing market dynamics, competition, and shifts in consumer behavior also significantly influence disruptive business model innovation of selected firms. This chapter acts as a springboard for future researchers by extending the theory of disruptive innovation and RPV framework to low-tech industries in developing economies.

• Retail agglomerations are predestined to capitalise on the combination of the strengths of traditional retailing and digital service innovations.

• Digital touchpoints can enhance the visitor experience throughout the whole customer journey, that is not only on-site but also before reaching as well as after having left the agglomeration.

• Digital service innovations can provide additional value to visitors of a retail agglomeration through four elements of the digital marketing mix: Information, orientation, communication and atmosphere.

• Technologies like augmented reality (AR) or virtual reality (VR) can create unique and memorable customer experiences, ensuring that retailers and service providers as well as the retail agglomeration as a whole continue to thrive.

• Key success factors for the implementation of digital services in the context of retail agglomerations include participative innovation processes, cooperation and the communication of clear benefits to stakeholders.

Retail agglomerations are predestined to capitalise on the combination of the strengths of traditional retailing and digital service innovations.

Digital touchpoints can enhance the visitor experience throughout the whole customer journey, that is not only on-site but also before reaching as well as after having left the agglomeration.

Digital service innovations can provide additional value to visitors of a retail agglomeration through four elements of the digital marketing mix: Information, orientation, communication and atmosphere.

Technologies like augmented reality (AR) or virtual reality (VR) can create unique and memorable customer experiences, ensuring that retailers and service providers as well as the retail agglomeration as a whole continue to thrive.

Key success factors for the implementation of digital services in the context of retail agglomerations include participative innovation processes, cooperation and the communication of clear benefits to stakeholders.

The concept of Industry 5.0 is not just one more revolution but calls for a tectonic shift in digitization and operationalizing technology with connected value chain across sectors. It is human centric that promotes talents, diversity and empowerment coupled with resilience leading to agile and adaptable technologies with prime focus on sustainability. The COVID-19 pandemic has given impetus to digital transformation and accelerated the focus on other challenges of present time and with extended importance on people, planet and societal concepts. This study shall attempt to examine the nature of association between revolution of Industry 5.0 with perspectives to digital innovation and its implications toward bringing sustainable business model. The main objective of this chapter shall be to uncover interrelated questions in terms of sustainability perspectives of industries in framing business models. This study shall serve as a primer to significance of digital transformation with relevance to businesses that can lead to efficient use of scarce resources and optimal feasible solutions to the business models, given the institutional and organizational frameworks. Further, an attempt shall also be made to underpin the key facets of effects of Industry 5.0 on the knowledge economy. It shall delve into how digital innovations can yield benefits to industry in terms of competitiveness and sustainability with focus on Society 5.0 that attempts to balance economic development with the resolution of societal and environmental problems. It is not restricted to the manufacturing sector but addresses larger social challenges based on the integration of physical and virtual spaces.

Innovation challenges are increasingly complex, cutting across distributed actors from different disciplines, organizations, and fields. Solving such challenges requires creating the capacities of opening up for innovation to access and develop a greater amount and variety of knowledge and resources. Perspectives on open source, open innovation, and interorganizational collaboration have explored such capacities, but from different origins and scopes of analysis. Our practice-based integrative framework of “opening innovation” helps highlight these differences and connect their relative strengths. Through a critical literature review paired with an analysis of different empirical cases from Hacking Health, a non-profit organization helping drive digital health innovation, the authors reveal the user-centric, firm-centric, and field-centric approaches to opening innovation that progressively connect a greater variety of actors and resources. The authors show how specific new relational practices they produce address the new relational dynamics these connections bring to accumulate more resources for innovation to keep progressing.