Explore the vast range of titles available.

This study aimed to clarify the longitudinal goal negotiation and collaboration process of achieving activity- and participation-level goals. We conducted a qualitative study using the trajectory equifinality model. Nine occupational therapists with experience in setting and achieving activity- and participation-level goals were recruited and interviewed about their clients. We identified two phases and four pathways in the setting and attainment process for activity- and participation-level goals. Throughout the longitudinal goal-setting process, when the occupational therapist and client had difficulty discussing activity- and participation-level goals, the therapist respected the client’s expectations, explained the purpose of occupational therapy in detail, and conducted individual face-to-face interviews. When it was difficult to provide work-based interventions, the occupational therapist made flexible use of functional training, elemental movement training, occupation-based practice, and environmental modifications. The results of this study may assist in supporting clients to improve their activity and participation in home rehabilitation.

Employing a developmental psychopathology framework, we tested the utility of the hormesis model in examining the strengthening of children and youth through limited levels of adversity in relation to internalizing and externalizing outcomes within a brain-by-development context. Analyzing data from the Adolescent Brain and Cognitive Development study ( = 11,878), we formed latent factors of threat, deprivation, and unpredictability. We examined linear and nonlinear associations between adversity dimensions and youth psychopathology symptoms and how change of resting-state functional connectivity (rsFC) in the default mode network (DMN) from Time 1 to Time 5 moderates these associations. A cubic association was found between threat and youth internalizing problems; low-to-moderate family conflict levels reduced these problems. Deprivation also displayed a cubic relation with youth externalizing problems, with moderate deprivation levels associated with fewer problems. Unpredictability linearly increased both problem types. Change in DMN rsFC significantly moderated the cubic link between threat levels and internalizing problems, with declining DMN rsFC levels from Time 1 to Time 5 facilitating hormesis. Hormetic effects peaked earlier, emphasizing the importance of sensitive periods and developmental timing of outcomes related to earlier experiences. Strengthening through limited environmental adversity is crucial for developing human resilience. Understanding this process requires considering both linear and nonlinear adversity-psychopathology associations. Testing individual differences by brain and developmental context will inform preventive intervention programming.

The prediction of hydrological phenomena using simpler hydrological models requires less computing power and input data compared to the more complex models. Ordinarily, a more complex, white-box model would be expected to have better predictive capabilities than a simple grey box or black-box model. But complexity may not necessarily translate to better prediction accuracy or might be unfeasible in data scarce areas or when computer power is limited. Therefore, the shift of hydrological science towards the more process-based models needs to be justified. To answer this, the paper compares 2 hydrological models: (a) the simpler tank model; and (b) the more complex TOPMODEL. More precisely, the difference in performance between tank model as a lumped model and the TOPMODEL concept as a semi-distributed model in Atari River catchment, in Eastern Uganda was conducted. The objectives were: (1) To calibrate tank model and TOPMODEL; (2) To validate tank model and TOPMODEL; and (3) To compare the performance of tank model and TOPMODEL. During calibration, both models exhibited equifinality, with many parameter sets equally likely to make acceptable hydrological simulations. In calibration, the tank model and TOPMODEL performances were close in terms of ‘Nash-Sutcliffe efficiency’ and ‘RMSE-observations standard deviation ratio’ indices. However, during the validation period, TOPMODEL performed much better than tank model. Owing to TOPMODEL’s better performance during model validation, it was judged to be better suited for making runoff forecasts in Atari River catchment.

The goal of this paper is to determine holistic archetypes of information technology (IT) outsourcing strategy. It does this through an overarching theoretical framework that integrates three dominant theories of interorganizational relations in the IT outsourcing literature, namely transaction cost economics, resource dependency, and social exchange theories. A contingency fit theoretical framing is married to a configurational approach to explicate the intricate relationships that spring up between a focal firm and its outsourcing vendors when they are working toward specific strategic objectives under varying contingencies. In line with this theoretical objective, we used qualitative comparative analysis (QCA), a set-theoretic configuration method that can handle the interdependent complexity among multiple elements of IT outsourcing. The technique was applied to a sample of 235 companies that have outsourced some or all of their IT functions. Findings at the project level of analysis empirically reveal two sets of configurations of strategic IT outsourcing elements, one set of configurations resulting in high economic benefit and the other set leading to high strategic benefit. Next, we compare similarities and differences among multiple, equifinal configurations and infer archetypes of IT outsourcing strategy internally congruent in terms of the strategic objectives as well as matching specific contextual contingencies. Our holistic archetypes take the form of theoretical propositions integrating the previous fragmented and inconsistent knowledge in IT outsourcing resulting from the causal ambiguity and complexity inherent in IT outsourcing projects as well as from divergent theories in the literature. Furthermore, by defining specific contingency boundaries, our archetypes provide managers with context-specific guidelines for strategic decisions regarding their relationships with outsourcing vendors, helping different sized firms to effectively succeed in IT outsourcing, contingent on the IT type being outsourced. Finally, we discuss new insights and implications of this study for complementing and extending the extant theories in IT outsourcing.

PurposeTo date, it remains unclear whether the experiences of large corporations with regard to knowledge transfer and process formalization can be successfully replicated in small companies. In this paper, the authors seek to contribute to the specialized literature on internal knowledge transfer processes and their degree of formalization in the context of small-sized innovative firms.Design/methodology/approachThe authors adopt a multiple case study approach to perform an in-depth comparative analysis of processes deployed to transfer knowledge internally and their degree of formalization, relying on rich narratives shared by informants during the data gathering stage. This sample is composed of five small innovators operating in the software industry in Quebec and Ontario.FindingsThe authors identify seven knowledge transfer processes in our sample, namely communities of practice, within project teams, across project teams, non-project related meetings, in-house exchanges with clients, technological devices, and playful activities. Uncovering a high cross-case variation in terms of process formalization, the findings imply that the degree of formalization of intra-firm knowledge transfer processes has no direct bearing on the innovative success of small software companies.Originality/valueThe study sheds new light on the topic of heterogeneity of small organizations from the perspective of knowledge transfer endeavors and provides empirical evidence in support of equifinality for a subset of small-sized innovators from the software sector.

In the past 35 years, developmental psychopathology has grown into a flourishing discipline that shares a scientific agenda with contemporary psychiatry. In this editorial, which introduces the special issue, we describe the history of developmental psychopathology, including core principles that bridge allied disciplines. These include (1) emphasis on interdisciplinary research, (2) elucidation of multicausal pathways to seemingly single disorders (phenocopies), (3) description of divergent multifinal outcomes from common etiological start points (pathoplasticity), and (4) research conducted across multiple levels of analysis spanning genes to environments. Next, we discuss neurodevelopmental models of psychopathology, and provide selected examples. We emphasize differential neuromaturation of subcortical and cortical neural networks and connectivity, and how both acute and protracted environmental insults can compromise neural structure and function. To date, developmental psychopathology has placed greater emphasis than psychiatry on neuromaturational models of mental illness. However, this gap is closing rapidly as advances in technology render etiopathophysiologies of psychopathology more interrogable. We end with suggestions for future interdisciplinary research, including the need to evaluate measurement invariance across development, and to construct more valid assessment methods where indicated. •Psychiatry and developmental psychopathology share common research agendas.•Interdisciplinarity, equifinality, multifinality, and research across levels of analysis are common principles.•All of these principles address etiological complexity.•Developemntal psychopathology places more emphasis on neuromaturation than psychiatry, but this is changing rapidly.•We discuss the complexity of emerging psychopathology across the lifespan by way of selected examples.

Zooarchaeologists have long relied on linear traces and pits found on the surfaces of ancient bones to infer ancient hominid behaviors such as slicing, chopping, and percussive actions during butchery of mammal carcasses. However, such claims about Plio–Pleistocene hominids rely mostly on very small assemblages of bony remains. Furthermore, recent experiments on trampling animals and biting crocodiles have shown each to be capable of producing mimics of such marks. This equifinality—the creation of similar products by different processes—makes deciphering early archaeological bone assemblages difficult. Bone modifications among Ethiopian Plio–Pleistocene hominid and faunal remains at Asa Issie, Maka, Hadar, and Bouri were reassessed in light of these findings. The results show that crocodiles were important modifiers of these bone assemblages. The relative roles of hominids, mammalian carnivores, and crocodiles in the formation of Oldowan zooarchaeological assemblages will only be accurately revealed by better bounding equifinality. Critical analysis within a consilience-based approach is identified as the pathway forward. More experimental studies and increased archaeological fieldwork aimed at generating adequate samples are now required.

Maturity models can be used as tools to depict the developmental trajectories of entity classes in domains and evaluate the relative position of an entity within this framework. However, their development process has been the focus of researchers and practitioners ever since, resulting in different procedures, development approaches, and conceptual models. Thus, a major criticism of maturity models is the often missing conceptual and theoretical grounding when it comes to the interpretation of the concept of maturity. To address this shortcoming, our research approach focuses on the rigorous development of a multiple-pathway maturity model. By following a sequential, theoretically grounded process, the resulting maturity model can be viewed as an instantiation of the predefined conceptual components and characteristics in a predefined domain. We present and discuss the instantiated sector and size-specific maturity model for innovation capability in small industrial firms, which is developed by applying configurational methods on a dataset and thereby offers multiple pathways to maturity. This concept of equifinality is central to our approach. It has rarely been considered in maturity model development research, although it offers the potential to build more realistic models with greater applicability, especially in domains with many interdependencies.

Ecologists are increasingly familiar with Bayesian statistical modeling and its associated Markov chain Monte Carlo (MCMC) methodology to infer about or to discover interesting effects in data. The complexity of ecological data often suggests implementation of (statistical) models with a commensurately rich structure of effects, including crossed or nested (i.e., hierarchical or multi-level) structures of fixed and/or random effects. Yet, our experience suggests that most ecologists are not familiar with subtle but important problems that often arise with such models and with their implementation in popular software. Of foremost consideration for us is the notion of effect identifiability, which generally concerns how well data, models, or implementation approaches inform about, i.e., identify, quantities of interest. In this paper, we focus on implementation pitfalls that potentially misinform subsequent inference, despite otherwise informative data and models. We illustrate the aforementioned issues using random effects regressions on synthetic data. We show how to diagnose identifiability issues and how to remediate these issues with model reparameterization and computational and/or coding practices in popular software, with a focus on JAGS, OpenBUGS, and Stan. We also show how these solutions can be extended to more complex models involving multiple groups of nested, crossed, additive, or multiplicative effects, for models involving random and/or fixed effects. Finally, we provide example code (JAGS/OpenBUGS and Stan) that practitioners can modify and use for their own applications.

Heavy episodic drinking (HED) is a major public health concern, and youth who engage in HED are at increased risk for alcohol-related problems that continue into adulthood. Importantly, there is heterogeneity in the onset and course of adolescent HED, as youth exhibit different trajectories of initiation and progression into heavy drinking. Much of what is known about the etiology of adolescent HED and alcohol-related problems that persist into adulthood comes from studies of predominantly White, middle-class youth. Because alcohol use and related problems vary by race/ethnicity and socioeconomic status, it is unclear whether previous findings are relevant for understanding developmental antecedents and distal consequences of adolescent HED for minoritized individuals. In the current study, we utilize a developmental psychopathology perspective to fill this gap in the literature. Using a racially and economically diverse cohort followed from adolescence well into adulthood, we apply group-based trajectory modeling (GBTM) to identify patterns of involvement in HED from age 14 to 17 years. We then investigate developmental antecedents of GBTM class membership, and alcohol-related distal outcomes in adulthood (∼ age 31 years) associated with GBTM class membership. Results highlight the importance of adolescent alcohol use in predicting future alcohol use in adulthood.