1,721,062 research outputs found

    The emotional and social side of analytics professionals: an exploratory study of the behavioral profile of data scientists and data analysts

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    Purpose Analytics technologies are profoundly changing the way in which organizations generate economic and social value from data. Consequently, the professional roles of data scientists and data analysts are in high demand in the labor market. Although the technical competencies expected for these roles are well known, their behavioral competencies have not been thoroughly investigated. Drawing on the competency-based theoretical framework, this study aims to address this gap, providing evidence of the emotional, social and cognitive competencies that data scientists and data analysts most frequently demonstrate when they effectively perform their jobs, and identifying those competencies that distinguish them. Design/methodology/approach This study is exploratory in nature and adopts the competency-based methodology through the analysis of in-depth behavioral event interviews collected from a sample of 24 Italian data scientists and data analysts. Findings The findings empirically enrich the extant literature on the intangible dimensions of human capital that are relevant in analytics roles. Specifically, the results show that, in comparison to data analysts, data scientists more frequently use certain competencies related to self-awareness, teamwork, networking, flexibility, system thinking and lateral thinking. Research limitations/implications The study was conducted in a small sample and in a specific geographical area, and this may reduce the analytic generalizability of the findings. Practical implications The skills shortages that characterize these roles need to be addressed in a way that also considers the intangible dimensions of human capital. Educational institutions can design better curricula for entry-level data scientists and analysts who encompass the development of behavioral competencies. Organizations can effectively orient the recruitment and the training processes toward the most relevant competencies for those analytics roles. Originality/value This exploratory study advances our understanding of the competencies required by professionals who mostly contribute to the performance of data science teams. This article proposes a competency framework that can be adopted to assess a broader portfolio of the behaviors of big data professionals

    Organizing for transformative innovation policies: The role of social enterprises. Theoretical insights and evidence from Italy

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    Transformative innovation policies can provide systemic solutions to socio-environmental challenges because of their "experimental", "reflexive" and "inclusive" character. We contend that social enterprises can act as catalysts for transformative innovation for the geographically and socially marginalized. Thus, including social enterprises in transformative innovation policies can mitigate the negative effects of innovation-based growth, making policies more socially and geographically inclusive. Following a syncretic approach to the literatures on trans -formative innovation policies and social entrepreneurship, this paper identifies the key dimensions of social enterprises' transformative innovation potential: directionality (i.e., social goals as the purpose of innovation); social and geographical inclusiveness (i.e., the inclusion of marginalized areas and individuals in the provision of goods or services); reflexivity (in terms of participatory governance and monitoring the achievement of goals); and experimental character (in terms of establishing partnerships with heterogeneous actors). We then assess this capacity through an exploratory cluster analysis of Italian social enterprises. We identify three distinct groups that suggest a range of entrepreneurial approaches from largely transformative to not at all. The transformative innovation readiness of social enterprises has implications for policymakers seeking to undertake pilot schemes and implement actions that support an appropriately transformative innovation ecosystem

    The individual side of ambidexterity: Do individuals' perceptions match actual behaviors in reconciling the exploration and exploitation trade-off?

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    The paper addresses the issue of the exploration-exploitation dilemma, adopting a micro level of analysis. Unlike the extensive literature on ambidexterity that investigates the organizational solutions that allow firms to pursue the balance between the two kinds of learning orientation, this research draws attention to the as yet barely analyzed individual dimension of ambidexterity. Specifically, in investigating personal ambidexterity we point to the relevance of individuals’ perceptions on what their role requires of them and the actual behaviors they perform. Drawing on an inductive multiple case study carried out on managers who face daily a strong pressure to balance exploration and exploitation and are expected to perform ambidextrous behaviors, we identify four different situations at the individual level, depending on the consistency/inconsistency between individuals’ role perceptions and their actual behaviors: enacted personal ambidexterity, dominant learning orientation, perceived personal ambidexterity and full personal ambidexterity. Moreover, our study adds to the ambidexterity literature by suggesting theoretical propositions on how individual characteristics, namely prior work experience and behavioral competency profile, may impact on the different situations of personal ambidexterity we identified and how the consistency/inconsistency between individuals’ perceptions and behaviors may contribute to sustaining or jeopardizing full personal ambidexterity

    Leadership style scale: Conceptualization and initial validation

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    This paper describes the development and validation of a scale to measure leadership styles that lead to resonant or dissonant organizational environment. Differently from other scales that focus their attention on one specific style, we offer a holistic approach that considers a broader range of behaviours. Based on theory, a pilot study, and questionnaires, we developed a tool to assess six styles of leader behaviours (Inspirational, Supportive, Aggregating, Democratic, Demanding, and Authoritarian). We tested the model in a sample of students and practitioners. We also run a non-parametric test that confirms that resonant styles of leadership have a positive impact on projects’ performance. The results supported the validity and reliability of the six-dimensional items. We thereby contribute to the literature by providing a practical tool of 36-item instrument, labelled the Behavioral Leadership Styles Evaluation (BELEADER) Questionnaire

    Breathing shoes and complementarities: How Geox has rejuvenated the footwear industry

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    This paper explores the process that dynamically links the whys, hows and whats of supply network internationalization. We propose a theoretical framework based on the internationalization process literature and apply it to analyze nine case studies of Italian footwear and apparel companies involved in relocating some segments of their supply networks to Romania. Cross-case analysis highlights three different processes of supply network internationalization: 1) traditional subcontracting; 2) co-ordinated subcontracting, and 3) supply system relocation. Empirical findings contribute delineating the roles of the technological knowledge needed to be transferred to run foreign operations, and of the international supply network context of the focal firm to fully understand the process of supply network internationalization. It is the different balance of such two variables that explains why, moving from the first to the third internationalization process, companies can make it harder for rivals the imitation of the whole set of managerial decisions underpinning their internationalization strategies

    Competent Production Supervisors

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    While the manufacturing sector is vanishing in most European and North American regions, North East Italian firms have successfully contrasted global competition thanks to superior manufacturing capabilities grounded, among other things, on people’s competencies. Applying non-parametric statistical analysis on data from 212 behavioral event and 44 repertory grid interviews, the research presented in this note investigates the nature of these competencies for production supervisors in North East Italian firms. We identify four threshold and nine distinctive competencies and offer insights on the relationship between these competencies and North East Italian firms’ manufacturing capability. We also suggest how to use competency tools to design skill development policies in industrial clusters and implement effective human resource management practices in small and medium sized enterprises
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