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Article
Publication date: 19 September 2019

Pedro Jácome de Moura Jr. and Carlo Gabriel Porto Bellini

The purpose of this study is to contribute to the literature on team management and flow theory by framing shared flow in teams (SFT) as a unique construct of much interest for…

473

Abstract

Purpose

The purpose of this study is to contribute to the literature on team management and flow theory by framing shared flow in teams (SFT) as a unique construct of much interest for team performance, as well as by proposing team vibration as a metaphor and measurable property of SFT.

Design/methodology/approach

An inductive approach is used to identify the occurrence of SFT by means of team vibration, and scale development procedures are used to offer an instrument to measure team vibration.

Findings

The current state of knowledge does not allow researchers and team leaders to assume that flow in teams depends on team members being in full flow too. Accordingly, it is shown that SFT is an emergent phenomenon of the complex interaction of team members, thus not corresponding to the mere aggregation of flow of individual team members. Moreover, it is also shown that the emergent property of team vibration is an efficient surrogate measure for SFT because it enables better communication in measurement.

Practical implications

Team managers should hire professionals that contribute to high levels of vibration in teams because this is expected to leverage desirable team processes and outcomes. Such individuals possess an ideal balance of individual and group focus. However, the authors warn that managers should be careful in assuming that individuals in full state of flow are necessary for the occurrence of flow in teams.

Originality/value

This study frames SFT as a unique construct in the literature of flow in groups, in addition to developing a metaphor and surrogate measure (team vibration) and a measurement instrument.

Details

Team Performance Management: An International Journal, vol. 25 no. 7/8
Type: Research Article
ISSN: 1352-7592

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Article
Publication date: 2 December 2019

Pedro Jácome de Moura Jr and Carlo Gabriel Porto Bellini

The purpose of this paper is to review three decades of the literature on flow measurement and propose issues to advance research on the measurement of social flow at work.

864

Abstract

Purpose

The purpose of this paper is to review three decades of the literature on flow measurement and propose issues to advance research on the measurement of social flow at work.

Design/methodology/approach

In a systematic literature review, the authors analyzed 143 articles published in the first three decades (1983–2013) of scholarly publications on flow measurement, of which 84 articles used scales to measure flow and 16 articles used scales to measure flow at work.

Findings

The main findings are: flow is frequently measured in association with other constructs or by means of proxies; flow measurement is highly dependent on a study’s purposes and context; flow is mostly studied at the level of the individual and, when studied beyond the individual, the measurement of flow in groups is simplified as an aggregation of individual-level measures; and social flow at work is an underresearched construct that nevertheless impacts organizations in important ways, thus deserving a specific research agenda.

Research limitations/implications

The first limitation refers to the databases included in the review. There is always the possibility that important works were ignored. Another limitation is that the coding procedure was highly dependent on the authors’ discretion, as it did not include independent coding and formal assessment of agreement among coders. But the greatest limitation may refer to our very perspectives on flow, flow measurement and social flow at work, as they are highly attached to current models instead of seeing the issues with different lenses. This limitation is also present in the literature.

Practical implications

Reviewing three decades of scholarly publications on how flow has been measured contributes to organizations in their planning for person-job fit. The measurement of flow can reveal if and when flow correlates with personal characteristics and organizational events, thus serving to inform initiatives on personnel development, acculturation and job design. However, considering that flow as a social phenomenon has been conceived in superficial terms, that a vast number of empirical studies were developed with non-professional subjects, and that flow measurement involves significant adaptations to each situation, organizations are thus advised to be careful in adopting extant instruments.

Originality/value

This study provides a rich account on how flow measurement has been addressed in the scholarly literature, and it calls attention to research opportunities on social flow at work.

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Article
Publication date: 7 December 2020

Pedro Jácome de Moura Jr and Cecília Lauritzen Jácome Campos

This paper aims to build around an abductive argument: the epistemological value of the Arts-derived knowledge is equivalent and may be supplementary to that of science…

213

Abstract

Purpose

This paper aims to build around an abductive argument: the epistemological value of the Arts-derived knowledge is equivalent and may be supplementary to that of science, contributing to the literature on the epistemological mistrust between both systems of knowledge.

Design/methodology/approach

This essay proposes a conceptual model – a tool, in Kuhn’s terms – grounded on the sociology of knowledge (Berger and Luckmann, 1967; Schütz, 1951), to frame the apprehension of reality from a social perspective, and the philosophical pragmatism (Peirce, 2012), considering the fixation of beliefs as the seminal concept that leads to the legitimation of knowledge in society. The proposed conceptual model guides analysis on the epistemological value of the knowledge derived from the Arts and supports reflection on the commonalities between both finite provinces of meaning.

Findings

Reproducibility, doxastic grounding, community/membership, intersubjectivity and evidence are criteria identified as commonalities between the Arts and Science. Acceptance and legitimation across finite provinces of meaning emerge to produce minimally acceptable objectivity, made possible by the mutual validation of impressions.

Research limitations/implications

The discussion on greater levels of aesthetic appreciation has been eclipsed by the authors’ intention to find specific epistemological properties of knowledge derived from the Arts.

Practical implications

As practitioners in applied social science, management researchers are supposed to have mastery over how to apply what they know. So, the findings suggest participation (becoming accepted, first of all) in communities of practice, learning from and contributing to distinct finite provinces of meaning. The role of organizations in the understanding of knowledge derived from the Arts and its application might be that of a protagonist, promoting creativity and innovation through openness to new perspectives on knowledge.

Originality/value

This essay rescues knowledge as not a justified true belief, but the result of fixed beliefs continuously and socially legitimated. This rescue escapes previous attempts that appeal to Gettier-type counterexamples. A conceptual model was proposed to frame knowledge from a philosophical and sociological perspective and represent a methodological contribution of this essay. The proposition of third-order interdisciplinarity, also represents a contribution, of conceptual nature.

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Article
Publication date: 22 June 2021

Pedro Jácome de Moura Jr

Data science lacks a distinctive identity and a theory-informed approach, both for its own sake and to properly be applied conjointly to the social sciences. This paper’s purposes…

525

Abstract

Purpose

Data science lacks a distinctive identity and a theory-informed approach, both for its own sake and to properly be applied conjointly to the social sciences. This paper’s purposes are twofold: to provide (1) data science an illustration of theory adoption, able to address explanation and support prediction/prescription capacities and (2) a rationale for identification of the key phenomena and properties of data science so that the data speak through a contextual understanding of reality, broader than has been usual.

Design/methodology/approach

A literature review and a derived conceptual research model for a push–pull approach (adapted for a data science study in the management field) are presented. A real location–allocation problem is solved through a specific algorithm and explained in the light of the adapted push–pull theory, serving as an instance for a data science theory-informed application in the management field.

Findings

This study advances knowledge on the definition of data science key phenomena as not just pure “data”, but interrelated data and datasets properties, as well as on the specific adaptation of the push-pull theory through its definition, dimensionality and interaction model, also illustrating how to apply the theory in a data science theory-informed research. The proposed model contributes to the theoretical strengthening of data science, still an incipient area, and the solution of the location-allocation problem suggests the applicability of the proposed approach to broad data science problems, alleviating the criticism on the lack of explanation and the focus on pattern recognition in data science practice and research.

Research limitations/implications

The proposed algorithm requires the previous definition of a perimeter of interest. This aspect should be characterised as an antecedent to the model, which is a strong assumption. As for prescription, in this specific case, one has to take complementary actions, since theory, model and algorithm are not detached from in loco visits, market research or interviews with potential stakeholders.

Practical implications

This study offers a conceptual model for practical location–allocation problem analyses, based on the push–pull theoretical components. So, it suggests a proper definition for each component (the object, the perspective, the forces, its degrees and the nature of the movement). The proposed model has also an algorithm for computational implementation, which visually describes and explains components interaction, allowing further simulation (estimated forces degrees) for prediction.

Originality/value

First, this study identifies an overlap of push–pull theoretical approaches, which suggests theory adoption eventually as mere common sense, weakening further theoretical development. Second, this study elaborates a definition for the push–pull theory, a dimensionality and a relationship between its components. Third, a typical location–allocation problem is analysed in the light of the refactored theory, showing its adequacy for that class of problems. And fourth, this study suggests that the essence of a data science should be the study of contextual relationships among data, and that the context should be provided by the spatial, temporal, political, economic and social analytical interests.

Details

Kybernetes, vol. 51 no. 7
Type: Research Article
ISSN: 0368-492X

Keywords

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