This study empirically examines individual and organizational factors that influence expatriates’ cross-cultural adjustment and job performance. The study was a quantitative research from 117 Thai expatriates who work in Thai multinational companies (MNC) located in Indonesia. The results of the study indicated that financial perceived organizational support influence positively towards Thai expatriates’ overall cross-cultural adjustment in Indonesia. This study found that cross-cultural training influenced positively towards Thai expatriates’ adjustment. A causal relationship between the predicting variables of crosscultural adjustment and Thai expatriates’ job performance was not found. Results suggest important consequences for management strategies providing support to Thai expatriate employees increasing their adjustment in Indonesia. Keywords: Cross-Cultural Adjustment; Job
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Author supplied: "This paper gives a linearised adjustment model for the affine, similarity and congruence transformations in 3D that is easily extendable with other parameters to describe deformations. The model considers all coordinates stochastic. Full positive semi-definite covariance matrices and correlation between epochs can be handled. The determination of transformation parameters between two or more coordinate sets, determined by geodetic monitoring measurements, can be handled as a least squares adjustment problem. It can be solved without linearisation of the functional model, if it concerns an affine, similarity or congruence transformation in one-, two- or three-dimensional space. If the functional model describes more than such a transformation, it is hardly ever possible to find a direct solution for the transformation parameters. Linearisation of the functional model and applying least squares formulas is then an appropriate mode of working. The adjustment model is given as a model of observation equations with constraints on the parameters. The starting point is the affine transformation, whose parameters are constrained to get the parameters of the similarity or congruence transformation. In this way the use of Euler angles is avoided. Because the model is linearised, iteration is necessary to get the final solution. In each iteration step approximate coordinates are necessary that fulfil the constraints. For the affine transformation it is easy to get approximate coordinates. For the similarity and congruence transformation the approximate coordinates have to comply to constraints. To achieve this, use is made of the singular value decomposition of the rotation matrix. To show the effectiveness of the proposed adjustment model total station measurements in two epochs of monitored buildings are analysed. Coordinate sets with full, rank deficient covariance matrices are determined from the measurements and adjusted with the proposed model. Testing the adjustment for deformations results in detection of the simulated deformations."
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PurposeSelf-initiated expatriates (SIE) women's career decisions are often based on the establishment of close personal relationships in various spheres of life. This paper aims to explore the effects of social isolation in times of crisis on SIE women's work, psychological and general adjustment.Design/methodology/approachThe model of expatriate women's adjustment by Caligiuri and Lazarova (2002) is reviewed and adapted to account for the impact of social isolation and loneliness on SIE women's adjustment and professional development in a crisis context. The interplay between duration and intensity of crisis and acculturative stress over time is highlighted; danger zones for potential maladjustment are identified, and adjustment-as-a-crisis context are incorporated into the model.FindingsThe spillover effects between different life spaces in times of isolation have a negative impact on SIE women's ability to develop supportive relationships in different life spaces. The organization becomes the main point of contact with the host culture, but pressure to perform, uncertain contracts, gendered role division and the experience of a double crisis add to the existing acculturative stress which may lead to maladjustment or further fit-dependent crisis over time.Originality/valueThe authors contribute to the theoretical understanding of the impact of social isolation on a single, vulnerable acculturating group, by expanding on an existing static model of adjustment, to account for the temporal (time) and spatial (multi-dimensional crisis context) constraints faced by SIE women which has not been done before.
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Agent-based modeling (ABM) is a widely used method for evaluating demand response (DR) strategies. To comprehensively assess the impact of DR strategies on a district cooling system, the integration of building managers’ DR behavior is essential. However, most ABM studies focus on technical optimization while overlooking the behavioral factors that may exist in building managers’ decision-making processes. To address this gap, this paper introduces an agent-based model using the belief-desire-intention (BDI) framework to simulate building managers’ air-conditioning setpoint adjustment behavior under DR, integrating the reasoning capabilities and irrational behavior factors.
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With summaries in Dutch, Esperanto and English. DOI: 10.4233/uuid:d7132920-346e-47c6-b754-00dc5672b437 "The subject of this study is deformation analysis of the earth's surface (or part of it) and spatial objects on, above or below it. Such analyses are needed in many domains of society. Geodetic deformation analysis uses various types of geodetic measurements to substantiate statements about changes in geometric positions.Professional practice, e.g. in the Netherlands, regularly applies methods for geodetic deformation analysis that have shortcomings, e.g. because the methods apply substandard analysis models or defective testing methods. These shortcomings hamper communication about the results of deformation analyses with the various parties involved. To improve communication solid analysis models and a common language have to be used, which requires standardisation.Operational demands for geodetic deformation analysis are the reason to formulate in this study seven characteristic elements that a solid analysis model needs to possess. Such a model can handle time series of several epochs. It analyses only size and form, not position and orientation of the reference system; and datum points may be under influence of deformation. The geodetic and physical models are combined in one adjustment model. Full use is made of available stochastic information. Statistical testing and computation of minimal detectable deformations is incorporated. Solution methods can handle rank deficient matrices (both model matrix and cofactor matrix). And, finally, a search for the best hypothesis/model is implemented. Because a geodetic deformation analysis model with all seven elements does not exist, this study develops such a model.For effective standardisation geodetic deformation analysis models need: practical key performance indicators; a clear procedure for using the model; and the possibility to graphically visualise the estimated deformations."
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This study utilized the Dutch translation of the Adjustment Scales for Early Transition in Schooling (ASETS), assessed in 323 kindergarten children across 30 regular schools in the Netherlands. Culturally-tailored, context-informed assessments are essential to address childhood adaptation challenges in early schooling. The analysis included EFA and CFA, revealing three behavioral problem categories: Aggressive/Oppositional (α = .86), Withdrawal/Low energy (α = .87), and Hyperactive/Attention seeking (α = .92). In addition, three situational contexts were identified: Contexts Requiring Discipline (α = .84), Contexts of Teaching and Learning (α = .85), and problems in Contexts Requiring Engagement (aka Disengagement) (α = .80). The 3-factor situational model demonstrated a good fit, RMSEA = .056, CFI = .97, and Pearson correlations highlighting distinct associations between behavioral dimensions and situational requirements.
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Accurate modeling of end-users’ decision-making behavior is crucial for validating demand response (DR) policies. However, existing models usually represent the decision-making behavior as an optimization problem, neglecting the impact of human psychology on decisions. In this paper, we propose a Belief-Desire-Intention (BDI) agent model to model end-users’ decision-making under DR. This model has the ability to perceive environmental information, generate different power scheduling plans, and make decisions that align with its own interests. The key modeling capabilities of the proposed model have been validated in a household end-user with flexible loads
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The Dutch government and leading academics in the field of circular economy propose that “repurposing”, i.e., finding new usages for discarded material, is important to reduce resource usage. Waste collectors, municipalities and start-ups increasingly find ways to develop circular business models, aiming for minimum loss of material integrity. Repurpose is a circular business model strategy which entails using a discarded product or its parts in a new product with a different function.The aim of this research is to gain a better understanding of this promising but academically underexposed circular strategy by empirically exploring its key characteristics and developing a taxonomy that reflects the scope and potential of the concept. The taxonomy development was based on clustering and comparing 96 case examples using key characteristics and critical factors empirically collected by means of 11 semi-structured expert interviews. The taxonomy was iteratively refined and validated by means of workshops with experts.This paper proposes a taxonomy and a comprehensive definition for repurposing. The Repurpose taxonomy distinguishes three main categories with increasing levels of material integrity: “Reprocess”, “Reshape” and “Recontextualize”. The taxonomy provides a refinement of existing circular business model patterns and frameworks for closing material loops strategies. It shows how repurposing may exploit the creative potential of design to fill the gap between reuse and recycling by retaining previously added value with three levels of physical adjustment.
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Artificial Intelligence (AI) offers organizations unprecedented opportunities. However, one of the risks of using AI is that its outcomes and inner workings are not intelligible. In industries where trust is critical, such as healthcare and finance, explainable AI (XAI) is a necessity. However, the implementation of XAI is not straightforward, as it requires addressing both technical and social aspects. Previous studies on XAI primarily focused on either technical or social aspects and lacked a practical perspective. This study aims to empirically examine the XAI related aspects faced by developers, users, and managers of AI systems during the development process of the AI system. To this end, a multiple case study was conducted in two Dutch financial services companies using four use cases. Our findings reveal a wide range of aspects that must be considered during XAI implementation, which we grouped and integrated into a conceptual model. This model helps practitioners to make informed decisions when developing XAI. We argue that the diversity of aspects to consider necessitates an XAI “by design” approach, especially in high-risk use cases in industries where the stakes are high such as finance, public services, and healthcare. As such, the conceptual model offers a taxonomy for method engineering of XAI related methods, techniques, and tools.
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This research investigates the factors influencing the capital structure of 271 non-financial firms listed on the Korean Stock Exchange (KSE) over a broad period from 1995 to 2021, encompassing both stable and crisis conditions. Employing a dynamic panel data model and the generalized method of moments (GMM) estimation, we address the endogeneity issue introduced by the inclusion of lagged dependent variables. Our research integrates firm-specific internal factors with macroeconomic external variables to provide a comprehensive understanding of the influence of varying economic environments on capital structure. Our study suggests that in times of economic stability, the capital structure decisions of a firm are more influenced by internal factors such as profitability. However, in periods of economic downturns, it is the external macroeconomic market conditions that tend to have a greater impact on these decisions. It is also noteworthy that both book leverage (BL) and market leverage (ML) exhibit quicker adjustments during stable periods as opposed to periods of crisis. This indicates a higher agility of firms in adapting their capital structures in stable, normal conditions. Our findings contribute to the existing literature by offering a holistic view of capital structure determinants in Korean firms. They underscore the necessity of adaptable financial strategies that account for both internal dynamics and external economic conditions. This study fills a gap in current research, presenting new insights into the dynamics of capital structure in Korean firms and suggesting a multifaceted approach to understanding capital structure in diverse economic contexts.
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