Futuristic Research Perspectives of IoT Platforms

Future IoT innovation patterns will assist offices with getting the greatest proficiency and efficiency out of their hardware and assembling parts. IoT is an essential element of digital transformation enterprises in business and industrial sections. Service suppliers and utilities have also been taking on IoT to get pioneering services to keep competitive. Services with security, power management, asset presentation, healthcare effectiveness, and threat and agreement management must be resolved properly in order to enhance the IoT effectively and efficiently. As new tech turns up, hackers prepare to capture the benefits of its potential flaws, and this is precisely why enhancing the precautions of associated strategy is the top IoT technology development. Objectives of this chapter are to analyze and access the future of IoT in healthcare, security, education, and agriculture. This chapter will focus on edge computing, a hybrid approach to process the data that allows connected devices to distribute, compute, examine, and maintain data locally.

Think human, act digital: activating data-driven orientation in innovative start-ups

PurposeThe study queries the drivers of innovation management in contemporary data-driven organizations/companies. It is argued that data-driven organizations that integrate a strategic orientation grounded in data, human abilities and proactive management are more effective in triggering innovation.Design/methodology/approachResearch reported in this paper employs constructivist grounded theory, Gioia methodology, and the abductive approach. The data collected through semi-structured interviews administered to 20 Italian start-up founders are then examined.FindingsThe paper identifies the key enablers of innovation development in data-driven companies and reveals that data-driven companies may generate different innovation patterns depending on the kind of capabilities activated.Originality/valueThe study provides evidence of how the combination of data-driven culture, skills' enhancement and the promotion of human resources may boost the emergence of innovation.

INNOVATIONS OF VILLAGE ASSET MANAGEMENT: A CASE OF THE BEST INDONESIAN VILLAGE

The purpose of this paper is to analyze Innovation Patterns in Utilizing Village Assets. The data collections were conducted by interviewing three village asset managers and implementing field observation on the research object. The study suggested that innovative asset management implemented in Panggungharjo successfully provided fundamental contributions to its community. The village assets have been successfully managed to increase the community’s earnings by creating innovative businesses such as technology-based business innovations and using exceptional business processes. This study was conducted in the Indonesian background. Nonetheless, the study results may not apply to village asset management in other countries, particularly the Western ones. At last, these findings are likely to have substantial implications for village asset managers from other villages in designing and implementing how to maximize village asset utilization for the benefit of the village community.

Regimes reloaded! A reappraisal of Schumpeterian patterns of innovation, 1977–2011

One of the most significant results of the empirical literature on innovation studies of the 1980s and 1990s was that innovation patterns were characterized by important inter-sectoral differences. This finding prompted a lively research agenda that: i) provided empirical characterizations of sectoral patterns of innovation by means of taxonomic exercises; ii) sought to interpret sectoral patterns of innovation as emerging properties of underlying selection and learning processes reflecting the structural properties of technical change at sectoral level (“technological regimes”). In this paper, we reconsider one of the landmark works on technological regimes (e.g., Breschi et al. 2000), reassess its findings, and perform a quasi-replication of their its exercise. Our conclusion is that the proposed distinction between Schumpeterian patterns of innovation (Mark I vs. Mark II) and their interpretation in terms of technological regimes has still the promise of yielding important insights concerning on the connection between inventive activities and industrial dynamics.

Territorial Innovation Patterns in Romania. Future Pathways for Smart Specialization

"This study examines the territorial patterns of innovation in Romania, a country labelled as ‘modest innovator’. Our main assumption is that the large heterogeneity in the sub-national innovation patterns is not captured in the typologies developed for the NUTS2 regions. Consequently, the study proposes a categorization of the Romanian NUTS3 counties according to their innovation performance and structural characteristics, by means of a two-step factor analysis combined with hierarchical cluster analysis. The results point to the existence of five territorial groupings with similar characteristics: knowledge-intensive hubs, technology-intensive platforms, diversified agglomerations, industrial production zones and structurally challenged regions. Taken together, the results suggest the need to prioritize structural transformation and embrace the broad-based innovation concept."

Upgrading Italy's Industrial Capacity: Industry 4.0 across Regions and Sectors

How are Industry 4.0 investments distributed across Italian regions and sectors? Which are the main drivers of diffusion? To address these questions, in this study we exploit rich firm survey data on the adoption of the new digital technologies and examine their adoption patterns. On the one hand, we produce novel insights into the drivers of structural change in the Italian economy, and on the other, we provide evidence on the technological upgrading of Italy's production capacity that is relevant for policy. The results of econometric tests on region-sector pairs indicate that corporate governance characteristics, innovation patterns and type of industrial relations are significant predictors of the uneven regional and sectoral distribution of Industry 4.0 investments.

Patterns of Introducing Innovations in the Digital Age and Their Impact on Managerial Staff and Employees

The modern digital era is characterized by rapid introduction of innovations in all spheres of society. The process of introducing innovations in the digital era does not happen by chance, there can be traced a number of regular patterns – steadily repeating, objective and significant trends. Some of these patterns have already been conceptualized and can be used as a methodological basis for studying the process of introducing innovation into the economic sphere. The article aims to consider the most important patterns of innovation introduction – dynamic equilibrium, the adaptation of innovation and the environment, the complication of organizational structures, changes in the innovative effect, the complexity of the innovative process, and social discomfort. The main research question is how much managers and employees are ready to accept innovations and how they respond to them. The authors also analyse how innovation patterns affect labour potential components of managers and employees: at the physical, mental and intellectual levels. It is concluded that it is vital to research further into the key patterns of innovation introduction as this contributes to better understanding of how managers’ and employees’ labour potential can be enhanced. One should not relate one or another component of labour potential to a specific pattern, they are most likely to manifest themselves comprehensively.