Alessandro Carollo, Seraphina Fong, Giulio Gabrieli, Claudio Mulatti and Gianluca Esposito
Among the growing interest towards market segmentation and targeted marketing, the current study adopted a scientometric approach to examine the literature on wine selection and…
Abstract
Purpose
Among the growing interest towards market segmentation and targeted marketing, the current study adopted a scientometric approach to examine the literature on wine selection and preferences. The current review specifically attempts to shed light on the research that explores the determinants of wine preferences at multiple levels of analysis.
Design/methodology/approach
CiteSpace was used to compute a Document Co-Citation Analysis (DCA) on a sample of 114,048 eligible references obtained from 2,846 publications downloaded from Scopus on 24 May 2021.
Findings
An optimized network of 1,505 nodes and 4,616 links was generated. Within the network, impactful publications on the topic and thematic domains of research were identified. Specifically, two thematic macro-areas were identified through a qualitative analysis of papers included in the 7 major clusters. The first one - “Methods of Wine Making” - included clusters #0, #3, #5, #6 and #18. The second one - “Consumers' Attitudes and Preferences Towards Wine” - included clusters #1 and #2. The first thematic macro-area included more technical aspects referring to the process of wine making, while the second thematic macro-area focused more on the factors influencing individuals' preferences and attitudes towards wine. To reflect the aims of the current paper, publications giving light to the “Consumers' Attitudes and Preferences Towards Wine” macro-area were analyzed in detail.
Originality/value
The resulting insights may help wine makers and wine sellers optimize their work in relation to market segments and to the factors influencing individuals' purchasing behaviors.
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Lelio Raffa and Gianluca Esposito
E-Procurement (EP) can be defined as using the Internet in the purchasing process (de Boer, Harink & Heijboer, 2002). This paper focuses on the EP implementation process. Such…
Abstract
E-Procurement (EP) can be defined as using the Internet in the purchasing process (de Boer, Harink & Heijboer, 2002). This paper focuses on the EP implementation process. Such process is defined as the way new technologies are absorbed by organizations and become part of their routines (Capaldo, Raffa & Zollo, 1994; Leonard-Barton, 1988; Leonard & Spring, 2002). This paper illustrates the preliminary results of an explorative study focused on the implementation process of an e-procurement system in the Italian-public-health-care system. Drawing on the ICT implementation process literature, this research aims at contributing to the identification of a set of conditions under which different EP forms appear appropriate in different purchasing and organizational settings (Min & Galle, 1999; Emiliani, 2000).
Alberto Battocchi, Ayelet Ben‐Sasson, Gianluca Esposito, Eynat Gal, Fabio Pianesi, Daniel Tomasini, Paola Venuti, Patrice Weiss and Massimo Zancanaro
Tabletop interfaces are a novel class of technologies that are particularly suited to support co‐located collaboration. The Collaborative Puzzle Game (CPG) is a tabletop…
Abstract
Tabletop interfaces are a novel class of technologies that are particularly suited to support co‐located collaboration. The Collaborative Puzzle Game (CPG) is a tabletop interactive activity developed for fostering collaboration skills in children with Autism Spectrum Disorders (ASD). The CPG features an interaction rule called Enforced Collaboration (EC); in order to be moved, puzzle pieces must be touched and dragged simultaneously by the two players. Two studies were conducted to test the effect of EC on collaboration. In Study I, 70 typically developing boys were tested in pairs to characterise the way they respond to EC; in Study II, 16 boys with ASD were tested in pairs. Results suggest that EC has a generally positive effect on collaboration and is associated with more complex interactions. For children with ASD, the EC interaction rule was effective in triggering behaviours associated with co‐ordination of the task and negotiation.
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Michele Posa, Ivano De Turi, Antonello Garzoni and Gianluca Zanellato
The rising focus on effective pathways to sustainable development has led to the conceptualization of the sustainable development goals (SDGs) as an institutionalization of public…
Abstract
Purpose
The rising focus on effective pathways to sustainable development has led to the conceptualization of the sustainable development goals (SDGs) as an institutionalization of public value. However, further exploration of public value creation processes, particularly through the lens of public (dis)value, is now advocated by scholars and policymakers. This study aims to understand the role of local ecosystems in enabling sustainable development within local communities through a public value regeneration process.
Design/methodology/approach
This research uses a case study methodology to examine Fattoria dei Primi, a social agriculture and urban regeneration initiative led by the Italian social cooperative Semi di Vita, with the mission to transform confiscated assets into new public goods.
Findings
A framework is developed to facilitate practices of public value regeneration and sustainable development. This framework offers a structured approach to understanding the actors, roles and stages involved in the regeneration process, identifying enablers and triggers across the stages of (1) value destruction, (2) value regeneration and (3) new value creation.
Practical implications
The findings offer valuable guidelines for public administration managers, institutions and policymakers to support public regeneration initiatives and progress toward the sustainable development in alignment with the UN Agenda 2030.
Originality/value
This study provides an initial examination of the mechanisms driving public value regeneration, demonstrating how collaboration among various stakeholders, including public, private and hybrid organizations, can facilitate regenerative processes and advance the SDGs.
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Paolo Esposito, Gianluca Antonucci, Gabriele Palozzi and Justyna Fijałkowska
Artificial intelligence (AI) can help in defining preventive strategies in taking decisions in complex situations. This paper aims to research how workers might deal with…
Abstract
Purpose
Artificial intelligence (AI) can help in defining preventive strategies in taking decisions in complex situations. This paper aims to research how workers might deal with intervening AI tools, with the goal of improving their daily working decisions and movements. We contribute to deepening how workers might deal with intervening AI tools aiming at improving their daily working decisions and movements. We investigate these aspects within a field, which is growing in importance due to environmental sustainability issues, i.e. waste management (WM).
Design/methodology/approach
This manuscript intends to (1) investigate if AI allows better performance in WM by reducing social security costs and by guaranteeing a better continuity of service and (2) examine which structural change is required to operationalize this predictive risk model in the real working context. To achieve these goals, this study developed a qualitative inquiry based on face-to-face interviews with highly qualified experts.
Findings
There is a positive impact of AI schemes in helping to detect critical operating issues. Specifically, AI potentially represents a tool for an alignment of operational behaviours to business strategic goals. Properly elaborated information, obtained through wearable digital infrastructures, allows to take decisions to streamline the work organization, reducing potential loss due to waste of time and/or physical resources.
Research limitations/implications
Being a qualitative study, and the limited extension of data, it is not possible to guarantee its replication and generalizability. Nevertheless, the prestige of the interviewees makes this research an interesting pilot, on such an emerging theme as AI, thus eliciting stimulating insights from a deepening of information coming from respondents’ knowledge, skills and experience for implementing valuable AI schemes able to an align operational behaviours to business strategic goals.
Practical implications
The most critical issue is represented by the “quality” of the feedback provided to employees within the business environment, specifically when there is a transfer of knowledge within the organization.
Originality/value
The study focuses on a less investigated context, the role of AI in internal decision-making, particularly, for what regards the interaction between managers and workers as well as the one among workers. Algorithmically managed workers can be seen as the players of summarized results of complex algorithmic analyses offered through simpleminded interfaces, which they can easily use to take good decisions.
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Anna Visvizi, Radosław Malik, Gianluca Maria Guazzo and Vilma Çekani
Against the background of the I50 paradigm, this paper queries in what ways blockchain and blockchain-based applications deployed in the smart city context facilitate the…
Abstract
Purpose
Against the background of the I50 paradigm, this paper queries in what ways blockchain and blockchain-based applications deployed in the smart city context facilitate the integration of the I50 paradigm in smart urban contexts.
Design/methodology/approach
A mixed methods approach is applied. First, by means of desk research and thematic literature review, a conceptual model integrating the I50 paradigm, smart city and blockchain-based solutions is built. Second, science mapping bibliometric analysis (SciMat) based on keywords’ co-occurrence is applied to a sample of 491 research articles to identify key domains of blockchain-based applications’ use in smart city. Third, a semi-systematic literature review complements insights gained through SciMat. Fourth, the findings are interpreted through the precepts of the conceptual model devised earlier.
Findings
The key blockchain-based applications in smart cities pertain to two domains, i.e. the foundational, service facilitation-oriented domain, including security (and safety), networks, computing, resource management and the service delivery-oriented domain, including mobility, energy and healthcare. Blockchain serves as the key building block for applications developed to deliver functions specific to each of the thus identified domains. A substantial layering of blockchain-based tools and applications is necessary to advance from the less to the more complex functional domains of the smart city.
Originality/value
At the conceptual level, the intricacies of the (making of the) I50 paradigm are discussed and a case for I50 – smart city – blockchain nexus is made. Easton’s input–output model as well as constructivism is referenced. At the empirical level, the key major domains of blockchain-based applications are discussed; those that bear the prospect of integrating the I50 paradigm in the smart city are highlighted. At the methodological level, a strategic move is made aimed at restoring the literature review’s role as subservient to the key line of exploration, to justify and ultimately support it, rather than to showcase the literature review as the ultimate purpose for itself.
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Mariavittoria Cicellin, Mario Pezzillo Iacono, Alessia Berni and Vincenza Esposito
The purpose of this paper is to interpret employees’ resistance using the perspective of a Foucaultian/post-structuralist approach in critical management studies. The authors…
Abstract
Purpose
The purpose of this paper is to interpret employees’ resistance using the perspective of a Foucaultian/post-structuralist approach in critical management studies. The authors examine the relationship between management of diversity, based on employment contract, emotional construction of identity and processes of resistance. The authors explore the ways in which temporary agency nurses understand and experience their contract, respond to tensions regarding temporary employment, develop collective emotions and show processes of resistance.
Design/methodology/approach
The study adopted an interpretive and qualitative approach. The authors analysed empirical material collected in the Haematology Department of a hospital in Naples, Italy, to illustrate actual experiences in the workplace.
Findings
Fear turns out to be the discursive resource through which resistance is actually exerted. Through emotions, temporary nurses build a community of coping and enhance their collective identity. They use fear to develop solidarity and to mobilize collective resistance in the workplace. Although no traditional resistance behaviours are reported, they aim to undermine the reputation of top managers and challenge and re-write the prevailing discourses of the organization.
Originality/value
The paper contributes to the critical literature because the authors analysed a relationship that is rarely theoretically and empirically examined in literature, that between employment contract, collective identity-building dynamics and processes of resistance. We showed that the creation of a community of coping enabled minorities to voice their distance from and opposition to management.
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Gianluca Solazzo, Gianluca Elia and Giuseppina Passiante
This study aims to investigate the Big Social Data (BSD) paradigm, which still lacks a clear and shared definition, and causes a lack of clarity and understanding about its…
Abstract
Purpose
This study aims to investigate the Big Social Data (BSD) paradigm, which still lacks a clear and shared definition, and causes a lack of clarity and understanding about its beneficial opportunities for practitioners. In the knowledge management (KM) domain, a clear characterization of the BSD paradigm can lead to more effective and efficient KM strategies, processes and systems that leverage a huge amount of structured and unstructured data sources.
Design/methodology/approach
The study adopts a systematic literature review (SLR) methodology based on a mixed analysis approach (unsupervised machine learning and human-based) applied to 199 research articles on BSD topics extracted from Scopus and Web of Science. In particular, machine learning processing has been implemented by using topic extraction and hierarchical clustering techniques.
Findings
The paper provides a threefold contribution: a conceptualization and a consensual definition of the BSD paradigm through the identification of four key conceptual pillars (i.e. sources, properties, technology and value exploitation); a characterization of the taxonomy of BSD data type that extends previous works on this topic; a research agenda for future research studies on BSD and its applications along with a KM perspective.
Research limitations/implications
The main limits of the research rely on the list of articles considered for the literature review that could be enlarged by considering further sources (in addition to Scopus and Web of Science) and/or further languages (in addition to English) and/or further years (the review considers papers published until 2018). Research implications concern the development of a research agenda organized along with five thematic issues, which can feed future research to deepen the paradigm of BSD and explore linkages with the KM field.
Practical implications
Practical implications concern the usage of the proposed definition of BSD to purposefully design applications and services based on BSD in knowledge-intensive domains to generate value for citizens, individuals, companies and territories.
Originality/value
The original contribution concerns the definition of the big data social paradigm built through an SLR the combines machine learning processing and human-based processing. Moreover, the research agenda deriving from the study contributes to investigate the BSD paradigm in the wider domain of KM.
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Giustina Secundo and Gianluca Elia
– This paper aims at proposing a performance measurement system (PMS) for academic entrepreneurship.
Abstract
Purpose
This paper aims at proposing a performance measurement system (PMS) for academic entrepreneurship.
Design/methodology/approach
The PMS has been developed through action research carried out within an Italian higher education and research centre on the basis of the literature background, focus groups and interviews.
Findings
The study presents a new PMS based on an input–output model for academic entrepreneurship. As a result, a multidimensional framework for measuring technology entrepreneurship is proposed together with a set of key performance indicators (KPIs) to assess the “third mission” of universities. The application of the framework allows demonstration of its validity in public settings.
Research limitations/implications
Because the research was conducted in a specific organisation, the possibility of generalizing the results to similar institutions is a key issue. Hence, it is important to distinguish between what is general in scope and what is case-specific.
Practical implications
This study contributes to the extant literature on performance measurement of entrepreneurship process within research and higher education institutes that is traditionally focussed at the firm level. From a practitioner perspective, the model can be used both by universities which are interested in measuring their entrepreneurial capital and by other stakeholders who are interested in evaluating the value generation performances of universities. Implications for the society are clarified as well.
Social implications
As for the society, the proposed model allows evaluation of the university’s pivotal role in the social and economic development of the region where it is located, especially in terms of new employments and new technology-intensive firms.
Originality/value
The PMS is developed according to a process-oriented perspective of the academic entrepreneurship by identifying, for each step, a set of KPIs to meet the information needs of different stakeholders. The proposed PMS allows monitoring each phase of the technology entrepreneurship and managing the results in terms of social and economic impact developed. Contributions in PMS and intellectual capital literature are identified.