Research on the topic of entrepreneurial orientation (EO) continues to proliferate. Nonetheless, the conceptualization and measurement of this construct are matters of ongoing discussion and debate, ...and construct-specific advice with respect to the generation high value-added EO research is sparse. This editorial is aimed at providing guidance to EO researchers in three areas: (a) EO’s conceptualization(s) and position as they relate to the larger set of corporate entrepreneurship-related constructs, (b) EO’s measurement challenges and possibilities, and (c) suggested guidance and directions for future EO research.
Full text
Available for:
BFBNIB, FZAB, GIS, IJS, KILJ, NUK, OILJ, SAZU, SBCE, SBMB, UKNU, UL, UM, UPUK
After reviewing the various ways employee recovery from work has been conceptualized in existing literature as well as the predominant theoretical frameworks used to study recovery, we meta-analyze ...the relationships between employee recovery, demands, resources, well-being, and performance. We also quantitatively examine the conceptualizations of recovery as activities, experiences, or states in terms of both their intercorrelations and differing effects with demands, resources, well-being, and performance. Results of meta-analyses using a total of 198 empirical samples indicated general support for the hypothesized positive relationships between employee recovery and resources, well-being, and performance as well as a negative relationship with demands. However, the size and consistency of observed effects differed markedly based on the conceptualization utilized. Additionally, various conceptualizations of recovery were shown to be only modestly related, while recovery experiences and the state of being recovered were shown to have substantial temporal consistency. Implications of these findings for scholars studying recovery and practitioners are discussed.
Full text
Available for:
NUK, OILJ, SAZU, UKNU, UL, UM, UPUK
We review the three prevailing approaches—specificity, cumulative risk, and dimensional models—to conceptualizing the developmental consequences of early-life adversity and address fundamental ...problems with the characterization of these frameworks in a recent Perspectives on Psychological Science piece by Smith and Pollak. We respond to concerns raised by Smith and Pollak about dimensional models of early experience and highlight the value of these models for studying the developmental consequences of early-life adversity. Basic dimensions of adversity proposed in existing models include threat/harshness, deprivation, and unpredictability. These models identify core dimensions of early experience that cut across the categorical exposures that have been the focus of specificity and cumulative risk approaches (e.g., abuse, institutional rearing, chronic poverty); delineate aspects of early experience that are likely to influence brain and behavioral development; afford hypotheses about adaptive and maladaptive responses to different dimensions of adversity; and articulate specific mechanisms through which these dimensions exert their influences, conceptualizing experience-driven plasticity within an evolutionary-developmental framework. In doing so, dimensional models advance specific falsifiable hypotheses, grounded in neurodevelopmental and evolutionary principles, that are supported by accumulating evidence and provide fertile ground for empirical studies on early-life adversity.
Full text
Available for:
NUK, OILJ, SAZU, UKNU, UL, UM, UPUK
Corporate social responsibility (CSR) focuses on many types of stakeholders and outcomes, including stakeholders outside of the organization and outcomes that go beyond financial results. Thus, CSR ...expands the notion of work to go beyond a task, job, intraindividual, intraorganizational, and profit perspective and provides an ideal conduit for individuals to seek and find meaningfulness through work. We adopt a person-centric conceptualization of CSR by focusing on sensemaking as an underlying and unifying mechanism through which individuals are proactive and intentional agents who search for and find meaningfulness through work. Our conceptualization allows us to understand variability in CSR effects due to variability in employee sensemaking and the meaningfulness employees experience from CSR; highlight synergies across disconnected theories and streams of research originating in different disciplines and at the intraindividual, intraorganizational, and extraorganizational levels of analysis; and propose new research directions for the future in the form of propositions and research questions. By using sensemaking as a unifying underlying process, the proposed conceptualization explains how individuals find meaningfulness through work and, consequently, when and why employees experience CSR in a particular manner—resulting in more or less positive outcomes for themselves, their organizations, and external stakeholders. Our proposed model could also be used in other individual-level research domains that would benefit from (a) placing people and their search for meaningfulness center stage and (b) focusing on the role that same-level and cross-level interactions among intraindividual, intraorganizational, and extraorganizational sensemaking factors play in the process.
Full text
Available for:
NUK, OILJ, SAZU, UKNU, UL, UM, UPUK
Interest has burgeoned, in recent years, in how social networks influence individual creativity and innovation. From both the theoretical and empirical points of view, this increased attention has ...generated many inconsistencies. In this article we propose that a conceptualization of the idea journey encompassing phases that the literature has so far overlooked can help solve existing tensions. We conceptualize four phases of the journey of an idea, from conception to completion: idea generation, idea elaboration, idea championing, and idea implementation. We propose that a creator has distinct primary needs in each phase: cognitive flexibility, support, influence, and shared vision, respectively. Individual creators successfully move through a phase when the relational and structural elements of their networks match the distinct needs of the phase. The relational and structural elements that are beneficial for one phase, however, are detrimental for another. We propose that in order to solve this seeming contradiction and the associated paradoxes, individual creators have to change interpretations and frames throughout the different phases. This, in turn, allows them to activate different network characteristics at the appropriate moment and successfully complete the idea journey from novel concept to a tangible outcome that changes the field.
Full text
Available for:
BFBNIB, IZUM, KILJ, NMLJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
Advanced theory-of-mind (AToM) development was investigated in three separate studies involving 82, 466, and 402 elementary school children (8-, 9-, and 10-year-olds). Rasch and factor analyses ...assessed whether common conceptual development underlies higher-order false-belief understanding, social understanding, emotion recognition, and perspective-taking abilities. The results refuted a unidimensional scale and revealed three distinct AToM factors: social reasoning, reasoning about ambiguity, and recognizing transgressions of social norms. Developmental progressions emerged for the two reasoning factors but not for recognizing transgressions of social norms. Both social factors were significantly related to inhibition, whereas language development only predicted performance on social reasoning. These findings suggest that AToM comprises multiple abilities, which are subject to distinct cognitive influences. Importantly, only two AToM factors involve conceptual development.
Full text
Available for:
BFBNIB, DOBA, FZAB, GIS, IJS, IZUM, KILJ, NLZOH, NMLJ, NUK, OILJ, PILJ, PNG, SAZU, SBCE, SBMB, SIK, UILJ, UKNU, UL, UM, UPUK
Experimental psychopathology has been the primary path to gaining causal knowledge about variables maintaining mental disorders. Yet a radically different approach to conceptualizing psychopathology ...promises to advance our understanding, thereby complementing traditional laboratory experiments. In contrast to viewing symptoms as reflective of underlying, latent categories or dimensions, network analysis conceptualizes symptoms as constitutive of mental disorders, not reflective of them. Disorders emerge from the causal interactions among symptoms themselves, and intervening on central symptoms in disorder networks promises to foster rapid recovery. One purpose of this article is to contrast network analysis with traditional approaches, and consider its strengths and limitations. A second purpose is to review novel computational methods that may enable researchers to discern the causal structure of disorders (e.g., Bayesian networks). I close by sketching exciting new developments in methods that have direct implications for treatment.
•Latent variable approaches to mental disorder are conceptually flawed.•Network analysis views disorders as causal systems of interacting symptoms.•Network analysis has clinical implications.
Full text
Available for:
GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK, ZRSKP
Comments on an article by A. J. B. Fugard & H. W. W. Potts (see record 2015-45455-007). Fugard and Potts (2015) tool for determining sample sizes in TA research has great intuitive appeal; it ...provides a life-raft to cling to in the sea of uncertainty that is qualitative research. For Fugard and Potts’ model to work, a very particular idea of what a theme is, and how it can be identified, is required. Essentially, the model has to conceptualise themes as ontologically real, discrete things, out there in the world (or the data), identifiable by researchers – like diamonds scattered in the sand, waiting to plucked-up by a lucky passer-by. Fugard and Potts’ model, at least, does not reiterate another very common and in our view problematic conceptualisation of a ‘theme’: the reporting not of themes, but of topics or domains of discussion, albeit claiming them as themes. Such analysis often effectively provides descriptive summaries of the responses around the topic or focus of the so-called theme – combining a wide range of, potentially radically different, meanings. Fugard and Potts’ model not only essentially meaningless but also deeply troubling – especially if it becomes a voice of authority that trumps the voices and internal logic of researchers operating within a qualitative paradigm.
Full text
Available for:
BFBNIB, DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, UILJ, UKNU, UL, UM, UPUK
Although much is known about the representation and processing of concrete concepts, knowledge of what abstract semantics might be is severely limited. In this article we first address the adequacy ...of the 2 dominant accounts (dual coding theory and the context availability model) put forward in order to explain representation and processing differences between concrete and abstract words. We find that neither proposal can account for experimental findings and that this is, at least partly, because abstract words are considered to be unrelated to experiential information in both of these accounts. We then address a particular type of experiential information, emotional content, and demonstrate that it plays a crucial role in the processing and representation of abstract concepts: Statistically, abstract words are more emotionally valenced than are concrete words, and this accounts for a residual latency advantage for abstract words, when variables such as imageability (a construct derived from dual coding theory) and rated context availability are held constant. We conclude with a discussion of our novel hypothesis for embodied abstract semantics. (Contains 7 footnotes, 3 tables, and 9 figures.)
Full text
Available for:
CEKLJ, FFLJ, NUK, ODKLJ, PEFLJ, UPUK
Management research increasingly recognizes omitted variables as a primary source of endogeneity that can induce bias in empirical estimation. Methodological scholarship on the topic overwhelmingly ...advocates for empirical researchers to employ two-stage instrumental variable modeling, a recommendation we approach with trepidation given the challenges associated with this analytic procedure. Over the course of two studies, we leverage a statistical technique called the impact threshold of a confounding variable (ITCV) to better conceptualize what types of omitted variables might actually bias causal inference and whether they have appeared to do so in published management research. In Study 1, we apply the ITCV to published studies and find that a majority of the causal inference is unlikely biased from omitted variables. In Study 2, we respecify an influential simulation on endogeneity and determine that only the most pervasive omitted variables appear to substantively impact causal inference. Our simulation also reveals that only the strongest instruments (perhaps unrealistically strong) attenuate bias in meaningful ways. Taken together, we offer guidelines for how scholars can conceptualize omitted variables in their research, provide a practical approach that balances the tradeoffs associated with instrumental variable models, and comprehensively describe how to implement the ITCV technique.
Full text
Available for:
NUK, OILJ, SAZU, UKNU, UL, UM, UPUK
PDF
