Small- and medium-sized enterprises (SMEs) play an important role in the European economy. A critical challenge faced by SME leaders, as a consequence of continuing digital technology revolution, is how to optimally align business strategy with fully leverage potential offered these technologies pursuit longevity growth. There paucity empirical research examining e-leadership SMEs drives successful alignment between fostering To address this gap, paper we develop empirically derived model....

Recently proposed q-rung orthopair fuzzy set (q-ROFS) is a powerful and effective tool to describe fuzziness, uncertainty vagueness. The prominent feature of q-ROFS that the sum square membership non-membership degrees are allowed be greater than one with qth pow er degree power less or equal one. This characteristic makes more useful intuitionistic (IFS) Pythagorean (PFS). aim this paper develop some aggregation operators for fusing information. As Muirhead mean (MM) considered as...

Clinical pathway is an approach to standardise care processes support the implementations of clinical guidelines and protocols. It designed management treatment including non-clinical activities, resources also financial aspects. provides detailed guidance for each stage in a patient with aim improving continuity coordination across different disciplines sectors. However, practical process, lack knowledge sharing information accuracy paper-based pathways burden health-care staff large amount...

Effective and rapid triaging from primary care into secondary plays a pivotal role in providing patients with timely treatment managing increasing demands for healthcare resources. Existing methods to are labor-intensive processes that involve manually reviewing referral data multiple sources can cause long time. There has been no research using machine learning automatically analyzes heterogeneous including letters recognize regularities support the triage. In this paper, we propose...

The recently proposed picture fuzzy set (PFS) is a powerful tool for handling fuzziness and uncertainty. PFS characterized by positive membership degree, neutral negative making it more suitable useful than the intuitionistic (IFS) wh en dealing with multi-attribute decision (MADM). aim of this paper to develop some aggregation operators fusing information. Considering Muirhead mean (MM) an technology which can consider interrelationship among all aggregated arguments, we extend MM context...

Abstract Study related to the extractive sector still plays a limited role in mainstream international business (IB) and management literature, with even less focus on ongoing liberalization digitalization industry. This article was motivated by question of how collaboration between foreign indigenous oil gas (O&G) companies can support small‐sized medium‐sized technological development. The main contribution this is development model that explains different actors cocreate value...

Introduction: COVID-19 pneumonia presented a unique problem for healthcare systems with the potential to overwhelm hospitals and lead unnecessary morbidity mortality. Safe triage follow up are required manage this unprecedented demand. Methods: We designed pathway assessment of patients based on their resting oxygen saturations response 30 metre rapid walking test. admitted ‘Virtual Ward’ remote oximetry monitoring from Emergency Department, step down inpatient wards local Primary Care ‘Hot...

Social comparison is a universal social phenomenon that profoundly influences aggressive behaviours among young adults. Based on the general aggression model, this study investigated relationship between and aggression, mediating role of relative deprivation. To further explore mechanism underlying influence, covert narcissism was examined as moderator in relationship, based deprivation theory. The results from current using total 726 Chinese college students showed positively correlated...

The hospital outpatient non-attendance imposes a substantial financial burden on hospitals and roots in multiple diverse reasons. This research aims to build an advanced predictive model for predicting regarding the whole spectrum of probable contributing factors that could be collated from heterogeneous sources including electronic patients records external non-hospital data. We proposed new prediction based deep neural networks machine learning models. approach works upon sparse stacked...

Smart healthcare is a complex domain for systems integration due to human and technical factors heterogeneous data sources involved. As part of smart city, it such area where clinical functions require smartness multi-systems collaborations effective communications among departments, radiology one the areas highly relies on intelligent information communication. Therefore, faces many challenges regarding its interoperability as collision, sources, policy obstacles, procedure mismanagement....

Word vector representation is widely used in natural language processing tasks. Most word vectors are generated based on probability model, its bag-of-words features have two major weaknesses: they lose the ordering of words and also ignore semantics words. Recently, neural-network models CBOW Skip-Gram developed as continuous-space for high dimensional real-valued vectors. These representations recently demonstrated promising results various NLP tasks because their superiority capturing...

The management of mixed traffic that consists robot vehicles (RVs) and human-driven (HVs) at complex intersections presents a multifaceted challenge. Traditional signal controls often struggle to adapt dynamic conditions heterogeneous vehicle types. Recent advancements have turned strategies based on reinforcement learning (RL), leveraging its model-free nature, real-time operation, generalizability over different scenarios. We introduce hierarchical RL framework manage through precise...

This paper focuses on multi-attribute group decision-making (MAGDM) course in which attributes are evaluated terms of interval-valued intuitionistic fuzzy (IVIF) information. More explicitly, this introduces new aggregation operators for IVIF information and further proposes a MAGDM method. The power average (PA) operator the Muirhead mean (MM) two powerful effective technologies. most attractive advantage PA is its to combat adverse effects ultra-evaluation values results. prominent...

Autonomous driving has gained significant advancements in recent years. However, obtaining a robust control policy for remains challenging as it requires training data from variety of scenarios, including rare situations (e.g., accidents), an effective architecture, and efficient learning mechanism. We propose ADAPS producing policies autonomous vehicles. consists two simulation platforms generating analyzing accidents to automatically produce labeled data, memoryenabled hierarchical policy....