The Greek Crisis: Causes and Consequences

Greece has reached a point where, under any plausible macroeconomic scenario, public debt will continue growing faster than GDP. Fiscal consolidation alone cannot close the solvency gap. A substantial reduction in the stock of debt is needed. Even post-debt restructuring, there is no guarantee that the government will succeed in its dual goal of restoring fiscal solvency and closing the competitiveness gap. Yet we think Greece stands a better chance of accomplishing these goals from inside the EMU rather than outside it. This chapter takes stock of the factors that led to the explosion of public debt, the loss of competitiveness, and the failure of the first EU-IMF programme. We also present our views on the likely debt restructuring (and post-restructuring) scenarios.

Disclosing the role of IT Suppliers as Digital Innovation enablers for SMEs: a strategy analysis of the European IT Sales Channel

As Information Technologies (IT) play a growingly strategic role in several industries, Small and Medium Enterprises (SMEs) adopt IT solutions to trigger Digital Innovation supporting their processes and improving their products and services. SMEs' scarce resources and inadequate IT competencies forces them to demand support from IT suppliers in the IT adoption and Digital Innovation journey, however, little attention was paid to the business models and strategies of IT suppliers in the academic and professional literature, and SMEs find it difficult to assess and select IT suppliers that best responds to their needs and aims. This study's goal is to provide a detailed picture of the IT Sales Channel and its players in the European market. A classification framework is proposed and eleven different business models are identified. The study leverages multiple case studies relying on semi-standardized interviews with Chief Executive Officers and Marketing Managers of leading European IT suppliers

The Relationship between Open Innovation and Strategy: Data-Driven Analysis of the Mobile Value Services Industry

As academic and practitioner studies on the subject amassed in the last decade 2003 - 2013, Open Innovation (OI) has gained growing importance in the broad field of Management and Information Systems. However, existing literature lacks a comprehensive understanding of the relationship existing between OI and a firm's Strategy. Employing a data-driven research approach, based on forty-five qualitative interviews on firms operating in the Mobile Value Services Industry involved in OI undertakings, this study originally highlights six cross-themes the OI-Strategy relationship revolves around: 1) OI and Competitive Advantage, 2) OI and Strategic Positioning, 3) OI and Business Models, 4) OI in Networks, 5) OI and Co-opetition.; 6) OI and Resilient Business Advantages. For each theme, insights are provided concerning: sub themes, findings, criticalities, and areas of development. This reorganization of the real-world OI initiatives constitutes a comprehensive research agenda or roadmap, with value for both academics and practitioners

The Greek crisis: Causes and consequences

Greece has reached a point where, under any plausible macroeconomic scenario, public debt will continue growing faster than GDP. Fiscal consolidation alone cannot close the solvency gap. A substantial reduction in the stock of debt is needed. Even post-debt restructuring, there is no guarantee that the government will succeed in its dual goal of restoring fiscal solvency and closing the competitiveness gap. Yet we think Greece stands a better chance of accomplishing these goals from inside the EMU rather than outside it. This chapter takes stock of the factors that led to the explosion of public debt, the loss of competitiveness, and the failure of the first EU-IMF programme. We also present our views on the likely debt restructuring (and post-restructuring) scenarios

Business Model Adaptation: Evidence of Lean Experimentation in Digital Startups

Digital startups frequently adapt their business model, but in doing so they face resource scarcity and need to “make-do” in validating and implementing their design changes at a practical level. We thus argue that digital startups employ a Lean Experimental approach when adapting their BM to contextual conditions. By means of an exploratory multiple-case study on Digital startups, this research investigates the factors driving the deployment of an experimental approach and proposing some factors that may drive differences in its application. Results suggest that most startups dealing with BM adaptation engage in experimentation practices that can be identified with the Lean Startup Approaches (LSAs), although with different extents of application. In this sense, startups move from scarce resource availability in resembling selected elements of the framework, whereas those with higher resource availability seem to be more prone to adopting LSAs in a structured and customized way at the organizational level

What happens after market validation? Experimentation for scaling in technology-based startups

Scaling is one of the most critical phases in the lifecycle of technology-based startups: failure to scale often translates into failure to survive. Entrepreneurial experimentation has emerged as a method to reduce the likelihood of startup failure by anticipating market information. However, previous studies only described experimentation as the means to achieve market validation during the early stages of a startup's lifecycle. In our study, we have inductively investigated experimentation in technology-based startups after they had achieved market validation, conducting a comparative multiple-case study on four technology-based startups operating as digital platforms for financial and marketing services. Our findings conclude that technology-based startups continue to experiment extensively as they scale up. We present a process model of how experimentation for scaling focuses on probing for new customer segments, experimenting on customer relationships and channels, whilst carefully pacing and prioritizing experiments, and selecting the relevant growth metrics to monitor. Our study thus extends the current understanding of entrepreneurial experimentation beyond the accomplishment of market validation to the phase of scaling. This article also provides practical guidelines for technology entrepreneurs to direct their efforts towards experimentation during the challenging scaling phase

A comparative study on the impact of business model design & lean startup approach versus traditional business plan on mobile startups performance

usiness Model Design (BMD) & Lean Startup (LSA) approach are two widespread practices among entrepreneurs, where many Mobile startups declare to adopt them. However, neither of the two frameworks are well rooted in the academic literature; and few studies address the issue of whether they actually outperform traditional approaches to new Mobile Startups creation. This study's aim is to assesses the contribution to performance of the combined use of BMD and LSA for two startups operating in the highly dynamic Mobile Applications Industry; performances are then compared to those achieved by two Mobile Star-ups adopting the traditional Business Plan approach. Findings reveal how the combined use of BMD and LSA outperforms the traditional BP in the cases analyzed, thus constituting a promising methodology to support Strategic Entrepreneurship

Technological Scanning for Foresight: The case of Metaverse applications for Healthcare

The process of foresight, which allows companies and organizations to build scenarios and inform the creation and sustainment of their competitive advantage, relies on the integration of several steps. Scanning is a crucial step of foresight, as it informs and influences the results of the whole process and, thus, the strategic decision-making of the company. Sources and methods of scan- ning for foresight analysis can be diverse and lead to different results, although few studies investigate such differences: more specifically, the informative power of academic and non- academic articles and reports has not been assessed yet. This study aims to shed novel light on how the different analysis methods of full reading of records and text mining analysis isolate and gather forces of change differently, based on the source analyzed. The study’s empirical context is the metaverse and its application in healthcare. We find that each source and method by itself is unable to fully gather the whole set of forces of change; however, each source presents some topics that are specific to the target readers of the source, and each methodology presents some advantages as well as some limitations. From the comparison of the results, theoretical and managerial implications are drawn

Students’ Entrepreneurial Orientation in Italy: do digital and coding skills matter?

The literature presents several papers regarding students’ entrepreneurial intention. However, only a few papers have recently analyzed student entrepreneurship. This paper aims at improving our understanding on this by testing if digital and coding skills matter for entrepreneurial orientation and student entrepreneurship. Adopting a Human Capital and Social Capital Theory perspective, we hypnotized that these individual skills may have a statistically and positive impact on entrepreneurial orientation and student entrepreneurship. Based on Logit and Probit regression analyses on more than 2000 Italian university students, we confirmed our hypotheses