This paper addresses the topic of knowledge discovery from data in the context of Arts. In particular, the paper aims to examine the “distant listening” approach to uncover and interpret patterns and rules behind archaeology-inspired music. This approach employs quantitative data mining and graphical visualisation tools to identify and present discovered patterns in music data. For the purpose of the current study, a set of classical music pieces motivated by UNESCO-listed world heritage ‘stecci’ was collected and used as a source of arts data. The collected data were stored in a spreadsheet file and then analysed using Palladio software for network analysis and visualisation. The resulting relational graph enabled easy visual exploration of associations between stecci and musical forms and styles inspired by these archaeological artefacts. However, these findings need to be interpreted with caution due to present limitations. Further research is necessary that would replicate and extend current study to other contexts and questions.

This manuscript investigates how Business Analytics (BA) may be practically exploited within the Knowledge Management process or activities to improve decision making. In particular, we developed a case study within a European private hospital in which we applied Process Mining – an emerging type of BA – to a six-month event dataset of the emergency department hip fracture diagnosis process for identifying delays linked to knowledge sharing issues. The evidences showed that, in over one case out of three, knowledge-sharing-related issues hindered the hospital in complying with the emergency department time targets and led to inefficient decision making. Hence, we proposed two preliminary solutions that may cope with such issues and that might decrease the patient’s Length of Stay and reduce the corresponding costs.

In recent years, the widespread adoption of Hospital Information Systems is enabling hospitals to measure and record an ever-growing volume and variety of patient and process-related data. In such context, analytics are emerging as suitable tools and methods for extracting and analyzing such data and for providing useful insights to assist decision-making. The Emergency Department (ED) is one of the functional areas that could profit from the implementation of such tools and methods. However, the complex and dynamic nature of EDs makes the application of analytics a very challenging task which is attracting increasing attention from both academic researchers and practitioners. This work represents a first attempt to demonstrate the suitability of predictive analytics in ED environment. Specifically, we aim at developing a multi-level classification model to predict patients’ length of stay (LOS), by exploiting historical information about ED patients and the advanced machine learning techniques. Given the high variability affecting patient LOS, we determined a set of candidate predictors from the data, including patients’ characteristics, temporal factors and, system-based factors (e.g., the system workload, the abandon rate and the probability of treatments’ execution like radiology, laboratory and consultancy). Preliminary results show that the multi-level model achieves promising values of accuracy, outperforming the single-level classification model. It allows the early identification of patients likely to experience a long LOS in ED. Such patients may require a dedicated monitoring by ED service providers who should take appropriate actions to shorten their stays. Accordingly, predicting LOS can help ED management to dynamically monitor the crowding level of the system and make informed decisions about resource allocation.

The tendency of supporting organizational decision-making has moved from traditional industries also to the private healthcare sector, becoming more and more essential, as requirements towards up-to-date and reliable information have increased. Business analytics tools can be considered as one of the solutions to satisfy the growing needs of supporting organizational data-driven decision-making. Also, one of the goals of business analytics is to understand and improve business processes, leading to enhanced performance of the organization. The aim of this paper is to study, how business analytics (BA) can support the future requirements of enhanced decision-making in the private healthcare in Finland. In addition, this paper provides valuable insight into the future of business analytics tools utilization in the private healthcare sector, furthermore discovering the potential for new business practices. The research includes private healthcare organizations, BI-vendors and management consultants in Finland. In addition, one of leading Business Analytics tools vendors in Finland and in the world was chosen for the study. The empirical data was collected during 2017-2019. In total thirty nine thematic interviews of key-personnel responsible for BA were conducted, to gain understanding on the future potential of BA in the Finnish private healthcare industry. Data-driven decision-making, operational excellence and seeking for new business opportunities are currently one of the most discussed topics when considering benefits of business analytics. This study is putting together the future potential of BA utilization in the private healthcare sector, both in decision-making and discovering new business opportunities. The suggested approach has significant novelty value in the context of a Finnish private healthcare. However, it is focusing primarily on the organizational aspect of BA utilization in the private healthcare in Finland, not including clinical data aspects. There are two practical outcomes of this study. The first outcome will provide understanding on the role of the future BA utilization in the private healthcare sector in Finland. The second outcome of this research provides valuable insight into the data-driven decision-making and potential of new business practices, enabled by utilizing new analytics capabilities.

To find tools and methods to research how we can create an entrepreneurial ecosystem in our turbulent and digital time which can be used for further economical growth of the regions and countries. We propose an approach to analyse the current situation with creation of entrepreneurial ecosystem. This methodology puts in evidence several examples of successful profiting from using of entrepreneurship ecosystem in the frame of current digital economics. The entrepreneurship ecosystem approach has emerged as a response. It recognises that HGFs flourish in distinctive types of supportive environment. Distinguishing features of entrepreneurial ecosystems include the following: a core of large established businesses, including some that have been entrepreneur-led (entrepreneurial blockbusters); entrepreneurial recycling – whereby successful cashed out entrepreneurs reinvest their time, money and expertise in supporting new entrepreneurial activity; and an information-rich environment in which this information is both accessible and shared. A key player in this context is the deal-maker who is involved in a fiduciary capacity in several entrepreneurial ventures. Entrepreneurial ecosystems emerge and evolve in response to specific circumstances, usually operating in combination. In some cases it is triggered by the contraction or closure of an established company The outcomes of the application can be used in business environment for the new innovative companies working in digital business (IT-technologies, Big Data applications etc)

The paper is devoted to examining the possibility of developing digital technologies through academic entrepreneurship, which can in its turn boost digital economy implementation. Nowadays, universities are under the process of increasing their part in regional and national socio-economic growth. That objective can be reached with universities’ technologies commercialization and Triple Helix collaboration. In Russia, this process is far from the level established by the government. At the same time, Russian authorities put forward ambitious goals for digital economy development. In the government’s strategic plans, universities are considered as one of the pillars for that. Universities’ administrations have to identify ways to facilitate digital technologies transfer, which forces them to intensify academic entrepreneurship as well. That will require implementing of new forms of management, new official and unofficial organizational rules, and specific support system. Nevertheless, academic entrepreneurship based on digital technologies has a number of advantages. Part of them is attributed to lower consumption of the resources needed to commercialize such technologies. Another advantage comes from young people’s and commercial organizations’ craving for digitalization. Three forms of academic entrepreneurship (creating spin-offs, joint research and licencing) are reviewed as methods of digital technologies commercialization. In the last section of the paper, a few hypotheses for the future research are formulated. The goal of the research is to assess differences in perception of business creation and academic entrepreneurship among the respondents from two prominent universities: St. Petersburg State University and ITMO University.

This study investigates the effect of cross-country differences on online hotel reviews. More in details, it investigates differences in the way Italians, Americans, and Chinese travelers perceive and emphasize hotel attributes. Based on a random sample of 9,000 online reviews, the study used text link analysis to extrapolate the frequencies of predefined hotel attributes on which further multivariate analyses and tests were performed. Answers are provided to two research questions: Do travelers from different countries place different emphasis on hotel attributes? Do travelers from different countries perceive hotel attributes differently? Findings suggest that the differences in perceptions and emphasis are significant. The adopted text-mining method could be useful for hotel business managers to hear the voices of consumers and include them in performance evaluation and service design processes.

Food consumer behavior has changed substantially over the past decades. The contemporary food consumer has become more critical and outspoken, demanding more relevant, accurate and reliable information necessary for his/her food decision making or learning. This new context makes research studies on the relationship between the behaviours of food consumer and food information user quite important. Several studies addressed the role of food information in food consumption activities. However, literature lacks of a holistic overview of the dimensions impacting on consumer’s perception of the value of food information when he/she is involved in food a food consumption process. The recent wave of the so-called “Internet-of-Food” (IoF) provide consumer with countless mobile apps and food-related objects and devices which are augmented with sensing, computing and communication capabilities in order to provide advanced information services. Nevertheless, the available research lacks in defining an approach capable to analyze the value of information provided to targeted audiences by Food Information Services (FISs).This paper intends to fill these gaps through a literature review of scientific research that combines knowledge on food consumer’s and food information user’s behaviours to identify main value dimensions in food information services that constitute a base for a multidimensional framework to identify the value proposition of a FIS.

As a growing field of analysis in management studies, several scholars have been looking at the role of human resource management (HRM) practices in boosting a firm’s entrepreneurial orientation (Tansky et al., 2009). On the other hand, entrepreneurial orientation has been repeatedly proven to positively impact firm performance both at the organizational level, but also at the level of enterprise clusters. This means that within high-entrepreneurial orientation firm clusters, both the overall cluster and the firms’ individual performances are positively affected (Yao et al., 2009). However, existing literature provides little guidance on how HRM practices could help firms improve their performance through fostering entrepreneurial orientation. This paper aims to shed more light on how human resource management could become a major driver of firm performance while leveraging on learning to translate individual and collective abilities into value adding entrepreneurial actions. For this purpose, this paper follows a systematic literature review as a recognized evidence-based tool for theory building (Tranfield et al., 2003). The objective is to develop an integrative theoretical framework that explains how HRM practices provide firms with superior performance, using entrepreneurial orientation as an intermediate construct. A ‘grounded theory’ approach was used to build higher-order theoretical constructs and the assumptions underpinning their relationships (Glaser and Strauss, 1967). We therefore followed an inductive process based on a comparative analysis to synthesize the gathered information from the systematic literature review, build on to emphasize the meaning of each concept, and then develop the propositions underpinning the relationships between the studied constructs, which in turn form the foundations of the integrative theoretical framework.

The role of social capital in entrepreneurship has become an increasingly prominent topic in business literature, and the debate about pros and cons has become increasingly complex. This study aims to shed light on the pre-conditions (the so called ‘genius loci’) that, by leveraging social capital, favour forms of participatory territorial governance aimed at enhancing regional development and wellbeing, also through the spur of high-tech startups. We focused on a paradigmatic case study: the Marche Region, (Italy). Indeed, in the age of the so-called “Italian economy miracle”, the Marche region was an example of flexible specialisation and the development of industrial clusters and districts, investigated by renowned researchers. The case we have explored focuses on innovative Marche startups and aims to understand if and how the sharing of shared values linked to the history of the territory can still be the source of social capital that allows new businesses to benefit from positive externalities. From our analysis, focused on the behaviour of three key players of the entrepreneurial ecosystem of the Marche region (the PA, the new crowdfunding platforms and universities), evidence would appear to confirm what has already emerged from other research.. Indeed, social capital is the glue that decrees, at a meso-level, the success of local development thanks to the form of governance and territorial social responsibility promoted by networks of local actors, public and private, who are oriented to sustainable development.

Recent innovation in digital technologies have triggered public sector organisation in search for improvement of their performance. Social media and participatory web are allowing public sector organisations to implement new form of civil engagements for citizens and to enhance their performance, contributing to the growth of the community. The paper aims to investigate if and how IT tools (web and social media) affect performance management systems in public-sector cultural organisations, provoking also changes in the relationship with visitors, donors and the local community. The paper adopts a case-study approach, investigating the Archaeological Park of Paestum (PAE), an autonomous museum of the Italian Ministry of Cultural Heritage and Tourism. Relying on interviews to top-management and consultants as well as on questionnaire to visitors, triangulated with data from official documents, we found that digital technologies have a positive impact of on the performance of PAE, in terms of revenue, donations and sponsorship received, number of visitors, and changes in internal routines. Findings from the study provide interesting implications for policy-makers regarding the effectiveness of digital technologies, highlighting that public sector entities can improve their global performance investing in innovations and social media.

The rise of sharing economy, made possible by technological evolution, has changed the way people make use of underutilized goods and has also changed the competition dynamics between incumbents and new players of many sectors. One sector that has been more revolutionized by the sharing economy is the tourism industry, given the rise of many new intermediaries and new players. Among them, Airbnb, an online marketplace that enable people to list, find and book rooms around the world, has very quickly changed the rule of competition of the hospitality industry. Given the strong position in the tourism sector, Airbnb has become a new competitor of hotels, that need to understand how to react and to compete against it. Previous research has already analysed some perspectives of AirBnB rise phenomenon, but the results vary a lot depending on the context and they are still far to be somehow conclusive regarding the systematic description of sector behaviour. Thus, given the previous outcomes on the possible disruptive effect of Airbnb on the hotel industry have not reached a final and unique conclusion, and given the importance for hotels to constantly update their strategic choices, the present study has the aim of replying to the following two research questions: “Does Airbnb impact negatively the hotel economic performance?” and “What are the key moderators among hotel’s online and offline positioning strategies, capabilities, and characteristics of the Airbnb’s local supply?”. Overall, the present study contributes to the emerging literature debate on the economic impacts of sharing economy on the incumbent hotel industry across an even broader variety of consumer markets. From a managerial point of view, this study informs hotels that they are no longer just competing with other hotels in their markets. They are also competing with Airbnb, and other home-sharing services, in their neighbourhood. A way to succeed, as demonstrated by this study, is to develop the appropriate capabilities to defend their economic performance and to look closely at why Airbnb is succeeding, to fight back and protect their investment.

Knowledge is the most important resources of an organization as depicted in the knowledge-based theory of the firm. Systems to gather knowledge and process it to be useful for decision making are vital. Further, knowledge is time sensitive and hence loses relevance as environment changes. Agriculture and especially seed sector in Africa is one sector which require creation of a seed business knowledge ecosystem to aid in timely exchange of knowledge across, governments, seed companies, supply chain partners and farmers. When knowledge is exchanged between the aforementioned entities, it allows humans to relay thoughts, relay perceptions of environment and adapt hence take advantage of opportunities or minimize potential threats in their operating environments, leading to production and distribution of the required amount of seeds to enhance agricultural productivity and hence reduce hunger and poverty in the African continent. The paper used cross sectional survey design of papers published in the African seed sector as at end of March 2019. The aim of the review was to establish key findings and recommendations advanced with view of providing a workbench to find out whether the recommendations and the findings have been made use of by the time of writing the paper. The authors make the conclusion that its not easy to establish the readers of each report published and value of the information derived from reading the paper and implementing the appropriate recommendations. Due to the shortcomings of housing knowledge in published reports, the authors propose an ICT based seed knowledge ecosystem which will allow aggregation and disaggregation of seed information for ease of decision making. The proposed ecosystem to be dubbed the Africa Seed Sermo will provide an interactive dynamic adaptive system which will enable conversions between actors, online surveys, opinion poling, voting issues, management of awards/pay-outs/registration fees possible. Additionally it will change the landscape of seed related literature to make data gathering, storage, processing and archiving easy creating a solid base for information generation which when integrated with the intellectual capacity of interpretation, comparison, connections and conversations build the intended knowledge for agricultural transformation.

We are living the era of the ecosystem, a concept whose use in management studies has grown exponentially in recent years. On the other hand, the ecosystem is becoming a fuzzy concept. In particular, following Teece (2007), many scholars define the business ecosystem in a rather generic way as an environment that includes the subjects that have some impact on the firm’s competitive advantage. Others scholars associate the concept of business ecosystem with the strategy that leads to the creation of a new market space through an (ecosystem) platform. In this paper, we compare this platformation strategy with two other disruptive strategies meant as strategies that create an uncontestable market space: exaptation and brokerage. We conclude that the (ecological) niche construction offers a particularly appropriate metaphor (rather than ecosystem) for the three strategies discussed in the paper.

Antecedents of Business Model Innovation (BMI) may be many, different in nature, placed at several levels, and they can be internal or external to the firm. The current debate has barely connected such antecedents to the type of innovation of the Business Model (BM), if modular or architectural. To fill this gap, our study draws on an exploratory case study of an innovative firm operating in the Space Industry that over time developed various BMs capable of creating value by exploiting Earth Observation big data. The Copernicus Programme has in fact opened a vast amount of Earth Observation daily data to the world, giving firms the opportunity to compete in new ways and allowing the development of an ever-increasing number of downstream products and services. As a result, Big Data from Space has changed considerably the Space Industry and firms are now in need to reconsider their BMs configurations. On the premises that big data in the Space Industry joins the incomplete conversation about the antecedents of BMIs, our study builds on complexity theory and innovation theory as interpretative theoretical lenses, with the aim of developing a research agenda directed towards the development of a theoretical framework for BMI by mean of explorative multiple case study from firms mainly operating in the Space Industry. Our findings, show the relevance of external antecedents to the BMI. These findings are then organized around a set of propositions, which enforce the up to now scant literature about antecedents and BMI.

This paper presents the results of an exploratory literature review on Knowledge governance. Looking at the literature this concept was starting be located at firm level and has evolving towards ontological multilevel integration. The challenge is to build a conceptual framework by using the lens defined by article´s objectives: a) Identify Knowledge Governance definition(s); b) Identify main concepts; and c) Identify the main background theories. This article add theoretical contributions to value existing knowledge, as well as understanding and shaping the knowledge base of the Education, Science, Innovation, Ecosystem and Policy ecosystem, which range from different financial to non-financial types of impacts.

The purpose of this paper is to examine how positive emotions might influence on innovative competencies in the Multi Business Model Innovation (MBMI). Strengthening of the participating individuals’ positive emotions such as happiness, gratitude, joy, love, optimism, hope, mindfulness seems to be important to higher the level of creativity during the business model innovation process in the MBMI conceptualization phase. The paper is based on a combination of the MBMI cube process conceptualization (Lindgren, 2018), and the positive psychology’s stressing of positive emotions (Garland et al, 2010; Fredrickson, 2001, 2004a, 2004b, 2009, 2013; Fredrickson & Losada, 2005; Flarup & Wivel, 2013, 2018, Flarup et al, 2017, Lyubormirsky, 2007; Sheldon & Lyubomirsky, 2007); and how this wellbeing influences on the will to create and the will to learn (Seligman, the PERMA Model, 2014; Knoop, the Wellbeing Model in Education, 2013, 2017) in the business model (Valter, 2018). The evidences of the paper is based on a research project on 41 mechanical engineering students at the Aarhus School of Engineering, Aarhus University, which for the first examine whether it is possible to strengthen positive emotions and how. Secondly, whether this strengthening of positive emotions influences on the students’ positive experience of teamwork; thirdly, how these results can be transferred on MBMI processes. Findings from this research project illustrate that 1) it is possible to strengthen positive emotions by simple individual exercises. The choice of gratitude and mindfulness techniques points out that in particular gratitude exercises seem to have a stronger impact on positivity in comparison to mindfulness exercises. 2) Positivity leads to several positive emotions (joy, happiness, creativity, gratitude, mindfulness, love etc.), which finally has an impact on the students’ positive experience of a challenging teamwork. 3) There are highly relevant implications for MBMI innovative processes, since they draw on positive emotional competencies such as creativity, hope, optimism, courage and others. Thus, the paper suggests that further research has to be elaborated in the field of positivity and creativity as individual competencies, together with gratitude exercises, and in the framework of MBMI.

This paper is part of a series of papers aimed at creating knowledge about Multi Business Model Innovation (MBMI) Process Management in a special designed Business Lab with the purpose to develop a framework for facilitating university students (and Businesses) in doing Multi Business Model Innovation according to the MBMI concept developed by professor Peter Lindgren (Lindgren & Jørgensen, 2012); (Lindgren & Rasmussen, 2013); (Lindgren, 2016, 2017, 2018). The research includes Master Engineering students at Aarhus University Herning doing MBMI in three Business Labs during a business case competition. Twenty students worked in three mixed teams with their business cases for three days in the Labs and were observed by 360-degreee cameras to explore what kind of interpersonal verbally and non-verbally communication processes appear and could be relevant for a Process Manager. The Process Managers seem to facilitate the MBMI processes and the students team work in a three-dimensional guidance continuum by communicating through different types of comments, e.g. comments regarding their work processes, provocative comments, and investigating, praising and guiding comments. Yet mostly through open and investigative questions. Moreover, the Process Managers use body language in an active, smiling and happy way that creates a positive, comfortable atmosphere with positive emotions in the Labs. Finally, the Process Managers use the MBMI B-Lab and tools to show the students how the infrastructure and the tools can help them structure, analyse and create knowledge (new BM’s) through the BMI case work.

The study seeks to investigate the impact of explicit and implicit knowledge sharing on business model innovation of IT Companies in Lahore (Wu et al., 2013), Pakistan through intervention of innovation speed and innovation quality. Based on the tentative deductions derived from Knowledge Based View (KBV) of information technology companies, this paper employs Partial Least Square for Structured Equation Modeling in order to investigate these hypotheses. Sample in the intended cross-sectional study contains empirical analysis performed on primary data collected from knowledge workers employed in IT companies. This envisioned investigation highlights the vivacious role of knowledge sharing within IT based firms that with the sharing of both implicit and explicit knowledge capital entrenched in the form of hidden intangible experiences, perceptions, behaviors, attitudes and as well as coded information in the documents and systems promote the strengthening of innovation capability of their existing business models. Thus, it has been found that business model innovation of IT companies can only be achieved when these firms quickly and more effectively come up with novel and breakthrough ideas, develop and launch new products & services, design and adopt new business processes and solve business problems as compared to their competitors supported by critical knowledge sharing comprising of explicit and implicit knowledge. This study has significant practical implications for the knowledge workers working in IT based firms committed to increase the innovation capacity of their business model and process through common perspectives of shared experiences and information platforms. Knowledge sharing will thus help them utilize the integrated and collective information capital in order to produce effective, efficient, high speed and superior quality driven innovation in their IT services to reach and equally meet their customers’ demands. Thus through resultant innovation in their firms’ business model, IT managers can help their organizations gain sustained edge ahead of their competitors. Customer satisfaction and long-standing competitive advantage can be evidently achieved through sharing of innovation building explicit and implicit critical knowledge throughout the organization.

The present research aims to propose a Knowledge Management Model for the Oswaldo Cruz Foundation, seeking, from its structure, to characterize its importance to support the innovation process both in the Institution and in Organizations of Science, Technology and Innovation in Health, due to its similar characteristics. In the development of the work, it is sought to understand if there is a relationship between knowledge management (KM) and innovation management (IM), what the difference is among data, information, knowledge and intelligence, if the implementation of a knowledge management model can help achieving the organizational innovation objectives and some existing KM models. At the end, it is proposed to identify the main critical success factors, benefits and challenges for a KM implementation in public institutions of Science, Technology and Innovation and the main steps of a model that meets the requirements of the ISO Norm 30401: 2018 that supports an Innovation Policy.