Related Complexes Research Articles

A global adoption of cryptocurrency and blockchain technology into the healthcare system

Abstract Background/Objectives Blockchain technology is revolutionizing various industries by enhancing security, transparency, and efficiency. In healthcare, its small-scale application demonstrates the potential to transform healthcare. This study explores how cryptocurrency and blockchain technology enhance healthcare financial stability, secure medical information exchange, increase payment recovery and interoperability. Methods Guided by the Diffusion of Innovations (DOI) Theory, this study reviews 34 articles on blockchain and cryptocurrency adoption in healthcare. We performed a thematic analysis focusing on empirical data, theoretical analyses, and existing implementations. Data were categorized by DOI elements: relative advantage, compatibility, complexity, trialability, observability, and social system. The findings were synthesized into a detailed framework for adopting these technologies in healthcare. Results Our analysis shows that cryptocurrency offers a secure, decentralized payment platform, eliminating the need for third-party intermediaries. Blockchain adoption enhances payment and patient record protection. Cryptographic methods ensure data integrity, transparency, and security, preventing modifications once recorded. Altering data requires consensus from the network majority, protecting healthcare providers from ransomware attacks. Conclusions Evidence suggests that cryptocurrency and blockchain will disrupt healthcare payments, data management, and accommodate interoperability within the next decade. These technologies promise improved security, improved public health research, and increased trust in the healthcare system. Key messages • Our research will be assessing the challenges of integrating digital coins and blockchain technology into the healthcare system. • Examine the potential benefits and risks of implementing blockchain technology in healthcare settings.

Synthesis, Structure, and Optical Property of Tris(biaryldiyl)metal Complexes Consisting of Group 9 Elements.

We report the synthesis and characterization of tris(biphenyl-2,2'-diyl)metal complexes of trivalent group 9 elements (1M, M = Co, Rh, Ir) and their nonplanarly π-extended analogs, tris(1,1'-binaphthyl-2,2'-diyl)metal complexes (2M, M = Rh, Ir). Single crystal X-ray crystallography reveals the distorted octahedral geometry with an approximate C3 symmetry of trianionic complexes 1M (M = Co, Rh, Ir) and 2M (M = Rh, Ir), which are contacted by three Li+ ions in the crystal. Complex 1Ir exhibits yellow luminescence in THF with a photoluminescence quantum yield (ΦPL) of up to 0.73, along with a distinctive photophysical property, namely, a concentration dependence of the emission wavelength from 530 to 580 nm. This is a characteristic property of 1Ir and has not been observed in its isoelectronic analog, tris(2-phenylpyridinato)iridium(III) (Ir(ppy)3). The concentration-dependent optical properties originate from the dissociation equilibria of Li+ ions from the anionic chromophore. Complex 2Ir also exhibits luminescence at 715 nm in THF, with a notable bathochromic shift from 1Ir through the π-extension. The findings offer insights into the photophysical properties of homoleptic organo-transition metal complexes, providing the foundation for the design of related transition metal complexes.

Exploring the role of AI-driven chatbots in patient care: a critical evaluation amidst healthcare staff shortages

Abstract Background Amidst the backdrop of staff shortages in healthcare systems, patients and their families are increasingly turning to chatbots, powered by Large Language Models (LLMs), for information about their medical conditions. These AI-driven chatbots, capable of generating human-like responses across a broad range of topics, have become a prevalent tool in the healthcare landscape. Given the proliferation of these chatbots, it is crucial to evaluate the quality and accuracy of the responses they provide. Methods We selected five freely accessible chatbots (Bard, Microsoft Copilot, PiAI, ChatGPT, and ChatSpot) for our study. These chatbots were posed questions spanning three medical fields: cardiology, cardio-oncology, and cardio-rheumatology. The responses generated by the chatbots were then compared against established guidelines from the European Society of Cardiology, American Academy of Dermatology, and American Society of Clinical Oncology. In addition to the content, the readability of the responses was evaluated using four different readability scales: the Flesch Reading Scale, Gunning Fog Scale Level, Flesch-Kincaid Grade Level, and Dale-Chall Score. To assess the accuracy of the responses in accordance with the medical guidelines, two independent medical professionals rated them on a 3-point Likert scale (0 - incorrect, 1 - partially correct or incomplete, 2 - correct). This allowed us to gauge the compliance of the chatbot responses with the medical guidelines. Results Results: In our study, we posed a total of 45 questions to each of the chatbots. Out of the five chatbots, Microsoft Copilot, PiAI, and ChatGPT were able to respond to all the questions. The length of the responses varied, with PiAI providing the shortest average response length of 7.26 words, and Bard providing the longest at 18.9 words. In terms of readability, the Flesch Reading Ease Scale scores ranged from 17.67 (ChatGPT) to 39.34 (Bard), indicating the relative complexity of the responses. The Flesch-Kincaid Grade Level, which reflects the academic grade level required to comprehend the text, ranged from 14.02 (PiAI) to 15.97 (ChatGPT). The Gunning Fog Scale Level, another measure of readability, varied from 15.77 (Bard) to 19.73 (ChatGPT). Lastly, the Dale-Chall Score, which assesses the understandability of the text, ranged from 10.24 (Bard) to 11.87 (ChatGPT). These results highlight the variability in the readability and complexity of responses generated by different chatbots. Readability analysis is presented in table 1. Conclusion This study indicates that chatbots vary in length, quality and readability. They answer each question in their way, based on data they have pulled from the network. Our data suggests that people who want information from a chatbot need to be careful and verify the answers they get.

High rate of macrolide resistance and closely genetically related Mycobacterium abscessus complex strains identified among both cystic fibrosis and non-cystic fibrosis patients within two countries.

This study highlights the importance of understanding Mycobacterium abscessus transmission because it poses a growing threat to vulnerable populations, especially young cystic fibrosis patients. Investigating how it spreads and which antibiotics work best is crucial for effective treatment. This research used whole genome sequencing to track M. abscessus and found evidence of potential transmission between patients, including across borders. The findings suggest that dominant strains are circulating and some patients may be infected through direct or indirect contact. This knowledge can inform infection control and treatment strategies.

THz-EPR-based Magneto-Structural Correlations for Cobalt(II) Single-Ion Magnets With Bis-Chelate Coordination.

New cobalt(II)-based complexes with [N2O2] coordination formed by two bis-chelate ligands were synthesized and characterized by a multi-technique approach. The complexes possess an easy-axis anisotropy (D<0) and magnetic measurements show a field-induced slow relaxation of magnetization. The spin-reversal barriers, i. e., the splitting of the two lowest Kramers doublets (UZFS), have been measured by THz-EPR spectroscopy, which allows to distinguish the two crystallographically independent species present in one of the complexes. Based on these experimental UZFS energies together with those for related complexes reported in literature, it was possible to establish magneto-structural correlations. UZFS linearly depends on the elongation parameter ϵT of the (pseudo-)tetrahedral coordination, which is given by the ratio between the average obtuse and acute angles at the cobalt(II) ion, while UZFS was found to be virtually independent of the twist angle of the chelate planes. With increasing deviation from the orthogonality of the latter, the rhombicity (|E/D|) increases.

Understanding mealtime behavioral problems in nursing home residents living with dementia: a group concept mapping approach

BackgroundPersons with dementia frequently experience mealtime behavioral problems that can result in reduced or lack of intake of food or fluids. Multiple underlying causes and expressions of mealtime behavioral problems complicate its interpretation and intervention, because problems originating from cognitive and functional decline and behavioral changes may interact. Healthcare professionals and family caregivers may encounter a variety of practical and moral dilemmas in dealing with these problems. We aimed at a better understanding of mealtime behavioral problems and related complex issues in nursing home residents with dementia from a daily practice perspective.MethodsWe used a mixed-method Group Concept Mapping approach in this study, and collected data online with a panel of 67 healthcare professionals, researchers and relatives from across The Netherlands. The participants contributed to either or all of the following phases: (1) the generation of ideas (brainstorm), (2) sorting, and (3) rating of the ideas. Subsequent phases included data analysis with Groupwisdom® software and interpretation of the results. Multidimensional scaling and hierarchical cluster analysis resulted in a concept map visualizing the coherence and importance of ideas. Bridging values were calculated, with low values indicating a distinct, clear concept.ResultsBrainstorming resulted in 285 statements representing 85 ideas. The concept map visualized three categories capturing ten clusters which describe the management of mealtime behavioral problems, causes of mealtime behavioral problems, and expressions and interpretations of mealtime behavioral problems. Concepts reflecting direct consequences, ethical components, and considerations to handle challenging situations overlapped on the concept map with the highest bridging values (range 0.58–0.87).ConclusionThis study added to unraveling the complex nature of mealtime behavioral problems, as perceived in practice. It is recommended to comprehensively analyze all components in the management of these problems, in particular being aware of ethical factors and align care for residents with dementia accordingly.

Visualizing Thermally Activated Conical Intersections Governing Non-Radiative Triplet Decay in a Ni(II) Porphyrin-Nanographene Conjugate with Variable Temperature Transient Absorption Spectroscopy.

Metalloporphyrins based on open-shell transition metals, such as Ni(II), exhibit typically fast excited-state relaxation. In this work, we shed light into the nonradiative relaxation mechanism in a nanographene-Ni(II) porphyrin conjugate. Variable temperature transient absorption and global fit analysis are combined to produce a picture of the relaxation pathways. At room temperature, photoexcitation of the lowest π-π* transition is followed by vibrational cooling in 1.6 ps, setting a short 20 ps temporal window wherein a small fraction of relaxed singlets radiatively decay to the ground state before intersystem crossing proceeds. Following intersystem crossing, triplets relax rapidly to the ground state (S0) in a few tens of picoseconds. By performing measurements at low temperature, we provide evidence for a competition between two terminal relaxation pathways from the lowest (metal-centered) triplet to the ground state: a slow ground state relaxation process proceeding in time scales beyond 1.6 ns and a faster pathway dictated by a sloped conical intersection, which is thermally accessible at room temperature from the triplet state. The overall triplet decay at a given temperature is dictated by the interplay of these two contributions. This observation bears significance in understanding the underlying fast relaxation processes in Ni-based molecules and related transition metal complexes, opening avenues for potential applications for energy harvesting and optoelectronics.

Arsenic-doped HgCdTe: FTIR photoluminescence and photoreflectance spectroscopy study

Photoluminescence (PL) and photoreflectance (PR) spectroscopy were used for the optical study of arsenic doping of HgCdTe grown by molecular beam epitaxy (MBE). Un-doped and arsenic-doped material with cadmium telluride molar fraction x = 0.29 grown under similar conditions and subjected to similar types of annealing was studied. The PL spectra of the un-doped material featured signatures of intrinsic defects associated with mercury vacancy, excessive tellurium, and related complexes. In the arsenic-doped material, optical signatures of these defects appeared to be suppressed. After arsenic activation, shallow (7–8 meV) acceptor levels were found in the material. These were attributed to the dopant activation, which was confirmed with electrical studies showing p-type conductivity with hole concentration ∼1016 cm−3. The studies showed that the actual pattern of arsenic doping in HgCdTe can be indeed screened by intrinsic defects, which are inherent to MBE-grown HgCdTe and tend to interact with the dopant.

Complex Permittivity Spectra of Granular Polymer Composites with Dispersed Ag-Coated Cu Flakes

AbstractConductive particle-containing granular composites with tuneable negative permittivity are being studied to improve the performance of electromagnetic devices, such as shielding materials. In this study, we investigated the relative complex permittivity and electrical conductivity of granular composites of polyphenylene sulfide (PPS) resin and Ag-coated Cu flakes in the radio- to microwave-frequency range and compared them with those of PPS/bare Cu flake composites. Electrical conductivity measurements revealed that the PPS/Ag-coated Cu flake composites have a lower percolation threshold (φc) than the PPS/bare Cu flake composites, whereas the electrical conductivity of the PPS/Ag-coated Cu flake composites in the percolated particle state was higher at the same particle volume fraction. At particle contents above φc, a low-frequency plasmonic state of conduction electrons was achieved in the percolated particle chains in both composites, and negative permittivity spectra were obtained. The percolated PPS/Ag-coated Cu flake composites had a negative permittivity up to a higher frequency than the percolated PPS/bare Cu flake composites. Furthermore, the Drude model was used to analyze the negative permittivity spectra of the composites in the percolated particle state. The plasma frequency of the composites with percolated Ag-coated Cu flakes was higher than that of the composites with percolated bare Cu flakes. Thus, coating Ag on Cu particles improved the conductivity of the composite, leading to negative permittivity up to higher frequencies. This study contributes to the enhancement of the negative permittivity achieved by granular composites, which is useful for microwave technology applications. Graphical Abstract

Equilibrium seeking of higher-order networks under facet cover constraints.

Agent intelligence involves specific requirements for social attributes. Intelligent agents make their decisions based on the groups they are part of, tend to satisfy co-members, and enlarge their own benefits. A fundamental question is whether this form of subgroup decision-making accommodate each individual's preferences. In this paper, we examine the evolution of an anticoordination game on a higher-order network in the form of a simplicial complex in relation to the facet cover problem, which ensures that each subgroup yields a positive benefit. We introduce and apply the facet update rule to regulate nodes' group-based interactions. We identify the payoff parameter condition that a strict Nash equilibrium (SNE) satisfies a facet cover. The proposed facet update rule enables the activated facet to reach a facet equilibrium, and all nodes would converge to an SNE with no more than 2m strategy switches, where m is the number of nodes in the simplicial complex. Additionally, we analyze the convergence of the asynchronous update rule, which can be seen as a special case of the facet update rule. Our simulations and extensive examples reveal that the SNE achieved by the facet update rule, on average, covers fewer nodes compared to the asynchronous update rule.

{Fe3} to {Fe6} clusters through changing flexible 1,3-propanediol to rigid ethylene glycol: Syntheses, structures and magnetic properties

Two related FeIII complexes [Fe3(μ3-O)(O2CPh)6(H2L1)2(H2O)](NO3)·2C3H8O2 (1 {Fe3}) and [Fe6(μ3-O)2(O2CPh)6(HL2)6](NO3)2·2CH3CN (2 {Fe6}) (H2L1 = 1,3-propanediol and H2L2 = ethylene glycol) were synthesized and characterized. Complex 1 consists of a [Fe3O(PhCO2)3] unit. Changing ethylene glycol to 1,3-propanediol, the final cluster 2 comprises two [Fe3O(PhCO2)3] triangular units connected by six mono-deprotonated μ2−1η:2η ethylene glycol. The result indicates that the syntheses of FeIII complexes is sensitive to the ligands. Variable-temperature (T) and field (B) solid-state direct current magnetization (M) studies show that complexes 1 and 2 show strong anti-ferromagnetic coupling between FeIII ions, resulting in ground-state spins of S = 1/2 for 1 and S = 0 for 2, which is also confirmed by the calculations.

Comparative Genomics of Conifer‐Associated Fusarium spp.

ABSTRACTRecent studies have shown numerous Fusarium spp. are associated with symptomatic conifer seedlings in both bareroot and container nursery systems. Some of these species have been found pathogenic to conifer seedlings (e.g., F. avenaceum, F. commune, F. oxysporum, F. solani, and F. verticillioides), but the mechanisms and shared evolutionary history of these conifer pathogenic species have not been well studied in these pathosystems. We compared whole genomes of 17 Fusarium spp. associated with conifer seedlings to elucidate putative shared pathogenicity/virulence gene profiles presumably expressed for roles in causing damping‐off and/or root disease of conifer seedlings. In addition, this work provides draft genomes of conifer‐associated Fusarium spp. and genomes not previously referenced in public databases (e.g., F. lactis, F. fredkrugeri, F. ipomoeae, and F. flocciferum). We identified pathogenicity/virulence genes associated with Fusarium spp. pathogens of conifers including effectors, the secreted in xylem (SIX) genes 2, 4, 9 and 14 and secondary metabolites, and the mycotoxins fumonisin and deoxynivalenol. We conclude that gene profiles are shared within Fusarium species complexes and among closely related Fusarium species complexes; however, these shared profiles are widely distributed across all Fusarium pathogens. These findings highlight potential targets for detecting and/or identifying Fusarium pathogens of conifers, but multiple methods and/or targets will be required depending on the species complexes and clades. More research is needed to determine the roles of expressed pathogenicity/virulence genes and the downstream metabolic products that result in pathogenesis to conifers.

A Framework of Foreseen and Unforeseen Harms in Transformative Service Systems

Transformative service systems (TSSs) are designed to uplift human well-being. Yet, paradoxically, by necessity and in design, TSSs can also generate unintended harms for system actors. Our conceptual paper builds on recent service literature, as well as that on unintended consequences from a range of fields, to advance an integrative framework of harms in TSSs. Through the enabling theory of the doctrine of double effect, our framework organizes harms in the transformative service context, identifying that unintended harms can be both foreseen and unforeseen. Additionally, we find that the mechanism underlying these harms is system emergence. Emergence arises from the relative complexity of the service system and the relative dynamism of the issue the TSS aims to address. Our framework demonstrates that greater service system complexity increases the likelihood of foreseen harms, while greater relative dynamism increases the likelihood of unforeseen harms arising. Furthermore, we show how these two factors combine to promulgate the emergence of harms. We find that in instances where harm arises, greater service system adaption is required to mitigate such harms. However, some TSS harms are an inevitable and unfortunate secondary outcome of doing good, and these harms necessitate acknowledgment and acceptance by service designers.

Adaptive Simultaneous Stochastic Optimization of the Escondida Mining Complex, Chile

AbstractThis paper presents the application of adaptive simultaneous stochastic optimization with a representative branching framework to generate a strategic mining plan for the Escondida mining complex, the world’s largest copper-production operation. This adaptive stochastic optimization considers geological uncertainty while integrating investment and operational alternatives in the production schedule of a mining complex. Mining complexes are comprised of interconnected components affected by multiple sources of uncertainty. Thus, they must be optimized simultaneously in order to maximize their value, manage environmental impacts, and minimize risk. Additionally, due to the extensive lives of assets and the dynamic and uncertain environment in which mining complexes operate, it is not reasonable to assume that the current strategic plan will remain optimal. Thus, an operationally feasible method to embed alternatives in the mine plan is used. The method utilized provides a strategic plan with representative branches for future possible investment decisions. Adaptive decisions are made sequentially over time, activating costs and effects over the model. The optimization process chooses the optimal strategic production plan accordingly, as well as the investments made and their timing. The Escondida mining complex is a multi-element, multi-pit operation with nine different processing destinations. Investment options considered herein are truck and shovel fleet sizing, adding a secondary crusher in one of the plants, and investing in a main crusher assigned to one of the pits. Additionally, operational alternatives at the mine and plant levels are included. The adaptive solution shows a substantial probability that the mine plan might change its design substantially due to geological uncertainty, presenting an increased expected net present value when compared to the previously developed stochastic mathematical programming formulation that does not consider adaptive decisions, thus generating a single static strategic production plan for the related mining complex. Further studies at the Escondida mining complex can consider adoptive solutions integrating capital investments pertinent to climate change issues.

Theoretical Study of Transition Metal Chemistry in Alkali Metal Complexes [K2M(COT)2]− (M=K, Rb, Cs)

AbstractThe transition metal properties of heavy alkaline earth metals have been extensively studied, and their neighbouring heavy alkali metals have been limited to the interactions with CO‐σ ligands. Based on this, the complexes [K2M(COT)2]− (M=K, Rb, Cs) interacting with heavy alkali metals and COT‐π ligands are theoretically designed in this paper. The electronic structure analysis showed that the three complexes had 10 occupied molecular orbitals (MOs), in which 8 of them were related to the atomic orbitals (AOs) of central alkali metals, including 4 d orbitals (dxy, dx2−y2, dxz, dyz), so they also exhibited the typical behaviors of transition metals. NBO analysis indicated that the central metals in these complexes are common valence of +1, the ligands are negative, so the electrostatic coulomb interaction between positive and negative ions makes them more stable. This can be reflected by the high binding energies of −585.8 to −594.0 kcal/mol, which are much higher than those of −6.5 to −63.3 kcal/mol for the trace amount of complexes combined by neutral metals and ligands. It would be a feasible strategy for the design of the macrosynthesis of related complexes by combining the positive ions and negative ligands, which can stabilize the complexes through the favorable Coulomb attractions.

Molecular glues that inhibit specific Zn2+-dependent DUB activity and inflammation.

Deubiquitylases (DUBs) play a pivotal role in cell signalling and are often regulated by homo- or hetero-interactions within protein complexes. The BRCC36 isopeptidase complex (BRISC) regulates inflammatory signalling by selectively cleaving K63-linked polyubiquitin chains on Type I interferon receptors (IFNAR1). BRCC36 is a Zn2+-dependent JAMM/MPN DUB, a challenging ubiquitin protease class for the design of selective inhibitors. We identified first-in-class DUB inhibitors that act as BRISC molecular glues (BLUEs). BLUEs inhibit DUB activity by stabilising a BRISC dimer consisting of 16 subunits. The BLUE-stabilised BRISC dimer is an autoinhibited conformation, whereby the active sites and interactions with the recruiting subunit SHMT2 are blocked. This unique mode of action leads to highly selective inhibitors for BRISC over related complexes with the same catalytic subunit, splice variants and other JAMM/MPN DUBs. Structure-guided inhibitor resistant mutants confirm BLUEs on-target activity in cells, and BLUE treatment results in reduced interferon-stimulated gene (ISG) expression in human peripheral blood mononuclear cells from Scleroderma patients, a disease linked with aberrant IFNAR1 activation. BLUEs represent a new class of molecules with potential utility in Type I interferon-mediated diseases and a template for designing selective inhibitors of large protein complexes by promoting protein-protein interactions instead of blocking them.

Contrasting Retromer with a Newly Described Retriever in Arabidopsis thaliana.

The tight regulation of protein composition within the plasma membranes of plant cells is crucial for the proper development of plants and for their ability to respond to a changing environment. Upon being endocytosed, integral membrane proteins can be secreted, sorted into multivesicular bodies/late endosomes, and degraded in the lytic vacuole, or recycled back to the plasma membrane to continue functioning. The evolutionarily conserved retromer complex has attracted the interest of plant cell biologists for over a decade as it has emerged as a key regulator of the trafficking of endocytosed integral plasma membrane proteins. Recently, a related recycling complex that shares a subunit with retromer was described in metazoan species. Named "retriever", homologs to the proteins that comprise this new recycling complex and its accessory proteins are found within plant lineages. Initial experiments indicate that there is conservation of function between metazoan and plant retriever proteins, suggesting that it is prudent to re-evaluate the available plant retromer data with the added potential of a plant retriever complex.

Moderating Effect of Innovativeness on Attitudes Toward E-Commerce Adoption by Small and Medium Enterprises in Kuwait

Many studies indicated that technological, organizational, and environmental organizational predictors as the key determinants for attitudes toward the adoption of E-commerce. However, a few studies focus on the innovativeness of these relationships. This study focuses on the moderating effect of innovativeness on the relationship between attitude toward the adoption of E-commerce and its determinants. Data were collected from 259 SME owners/managers through a self-administered questionnaire, and structural equation modeling was used to analyze the data. The results identified perceived relative advantage, compatibility, complexity, organizational readiness, IT knowledge, competitive pressure, and supplier and customer pressure as important drivers of managers' attitudes toward E-commerce adoption. Furthermore, the findings indicated a stronger positive relationship between compatibility, competitive pressure, and attitude for managers with high innovativeness as opposed to low levels of innovativeness. These results supported the view that innovativeness can shape managers' attitudes toward E-commerce adoption. The results will help SME owners/managers to plan and promote E-commerce adoption and grow their businesses. Governments can use the results of this research to develop more focused policies to encourage more favourable E-commerce adoption attitudes among managers of SMEs.

Unveiling the Puzzle of Social Media Adoption Among Small Grocery Retailers

This research is aimed to understand the intentions of small grocery retailers in adopting social media for marketing purposes. The research used an integrated TAM-TOE framework combined with an SOR framework for understanding factors influencing the intention of small grocery retailers to adopt social media. Mixed methods were used for the study. Initially, in-depth interviews were conducted with 55 retailers to develop a grounded model, which was verified through a survey of 874 retailers. Findings suggest that perceived usefulness and perceived ease of use were positively related to relative advantage, interaction, organizational competency and complexity, bandwagon effect, and competitive pressure. Retailer age and retail outlet also had moderation effects. Small grocery retailers who understand the relative advantage of social media are more likely to adopt it, influenced by the bandwagon effect. Intense competition is also pushing retailers to adopt social media to avoid losing customers and missing out on potential opportunities.

On the Difference of Mobile Shopping Behavior Between Locals and Expatriates: The Roles of Culture and Perceived Value

This study verifies a model linking the relative advantage and complexity of mobile shopping apps with perceived value and behavioral intentions. It also investigates the moderating role of the customers’ nationality in terms of expatriates vs. native citizens, a factor that has been scarcely considered in the marketing literature. The findings of this study have significant practical implications, contributing to the development of targeting strategies in marketing. This study also uncovers new paths, namely the moderation of cultural dimensions: uncertainty avoidance and collectivism. A survey was distributed using two sampling paths, namely intercepts combined with snowball sampling. The sample comprised 350 participants of various nationalities. The results revealed significant differences between expats and native citizens regarding the impact of relative advantage and complexity on perceived value, as well as the latter’s effect on behavioral intentions toward mobile shopping apps.