Dalam organisasi tentunya sudah pasti memiliki proses bisnis yang menopang kegiatan atau aktivitas bisnis didalamnya guna mecapai visi dan misi yang teridentifikasi. Saat ini proses bisnis yang berjalan di Sahabat Hutama Mandiri atau SHM Purwokerto sudah dibantu dengan sistem inventory akan tetapi sistem tersebut masih memiliki banyak kekurangan seperti kurangnya fitur-fitur sehingga admin harus membuat pencatatan secara manual untuk bagian yang belum memiliki fitur. Maka dari itu perlu dibuat Business Process Model and Notation (BPMN) yang bertujuan untuk mengetahui proses bisnis yang terjadi di SHM Purwokerto dan, meminimalisir kesalahan yang sering terjadi pada sistem yang ada di Sahabat Hutama Mandiri Purwokerto. Hasil dari penelitian ini adalah perlu ada nya penambahan beberapa fitur-fitur seperti fitur return atau pengembalian barang yang rusak, sistem penentuan harga yang ada di sistem inventori pada Sahabat Hutama Mandiri.
Frontal analysis of the activities of medical and preventive institutions on the basis of the process model involves an objective assessment of the activities of all sections of preventive and therapeutic and diagnostic work, identification of shortcomings and reserves, foresight on this basis of the results of the work of medical and preventive institutions.
AbstractThis work considers a class of canonical neural networks comprising rate coding models, wherein neural activity and plasticity minimise a common cost function—and plasticity is modulated with a certain delay. We show that such neural networks implicitly perform active inference and learning to minimise the risk associated with future outcomes. Mathematical analyses demonstrate that this biological optimisation can be cast as maximisation of model evidence, or equivalently minimisation of variational free energy, under the well-known form of a partially observed Markov decision process model. This equivalence indicates that the delayed modulation of Hebbian plasticity—accompanied with adaptation of firing thresholds—is a sufficient neuronal substrate to attain Bayes optimal inference and control. We corroborated this proposition using numerical analyses of maze tasks. This theory offers a universal characterisation of canonical neural networks in terms of Bayesian belief updating and provides insight into the neuronal mechanisms underlying planning and adaptive behavioural control.
We analyze observations and develop a hierarchy of models to understand heat waves – long-lived, high temperature anomalies – and extremely high daily temperatures during summertime in the continental extratropics. Throughout the extratropics, the number of extremely hot days found in the three hottest months is much greater than expected from a random, single-process model. Furthermore, in many locations the temperature skewness switches from negative on daily timescales to positive on monthly timescales (or shifts from positive on daily timescales to higher positive values on monthly timescales) in ways that cannot be explained by averaging alone. These observations motivate a hierarchy of models of the surface energy and moisture budgets that we use to illuminate the physics responsible for daily and monthly averaged temperature variability. Shortwave radiation fluctuations drive much of the variance and the negative skewness found in daily temperature observations. On longer timescales, precipitation-induced soil moisture anomalies are important for temperature variability and account for the shift toward positive skewness in monthly averaged temperature. Our results demonstrate that long-lived heat waves are due to (i) the residence time of soil moisture anomalies and (ii) a nonlinear feedback between temperature and evapotranspiration via the impact of temperature on vapor pressure deficit. For most climates, these two processes give rise to infrequent, long-lived heat waves in response to randomly distributed precipitation forcing. Combined with our results concerning high-frequency variability, extremely hot days are seen to be state-independent filigree driven by shortwave variability acting on top of longer-lived, moisture driven heat waves.
This study aims to understand the influence of COVID-19 on consumers' fears and self-protection motivations. Furthermore, the study seeks to understand the effects of these fears and motivations on consumers' intentions to use omnichannel retailing. A modified theoretical model is proposed by integrating protection motivation theory (PMT) and extending the extended parallel process model (E-EPPM). A total of 398 valid questionnaires are collected and used for further structural equation modeling analysis. The results suggest that the perceived severity, perceived vulnerability, and health anxiety positively impact perceived fears surrounding COVID-19. Furthermore, it is found that perceived fear, self-efficacy, and response efficacy will affect the protection motivation of consumers and ultimately contribute to their behavioral intention to use omnichannel retailing. The findings theoretically enrich the research on COVID-19, PMT, and E-EPPM and empirically provide managerial implications for omnichannel retail service providers.
This paper aims to present empirical test to analyse a structural process model based on the constructs of absorptive capacity considering sustainability aspects. It integrates dynamic capability perspective to strengthen the existing literature. Findings of the study may help organisations to renovate business processes related to absorptive capacity and improve decision-making considering sustainability attributes.
Sample for data analysis covers 389 managers of firms demonstrating some traits of sustainability orientation and operating in a developing economy like India. Structural equation modelling is applied to test a casual model.
Result of this study reveals that a formal system that drives knowledge sharing, storing and exploitation of knowledge, a structured way to appropriate and reward intellectual property rights can be fundamental to development of absorptive capacity. Such a system conducive to knowledge exploration and acquisition must lead to exploration of new knowledge sources and new knowledge. A firm’s knowledge acquisition system shall be able to deliver to acquire external as well as internal knowledge spread across departments.
This study considers commercial output as an aspect of innovative capability, so this attribute is not included in absorptive capacity.
The study may help organisations to develop a systemic approach to evolve decision-making and develop suitable processes linked to absorptive capacity considering sustainability challenges and uncertain market conditions.
The study presents a comprehensive view of absorptive capacity considering societal stakeholder’s knowledge in addition to technological and market knowledge.
There are hardly any research articles which link absorptive capacity, dynamic capability and sustainability strategies.