Findings Of Study Research Articles

Unveiling the toxicological effects and risks of prometryn on red swamp crayfish (Procambarus clarkii): Health assessments, ecological, and molecular insights

Prometryn is commonly used in agricultural and non-agricultural settings. However, possible harm to aquatic organisms remains a persistent concern. Prometryn was also the only one of the 26 triazine herbicides detected in this study. Numerous studies have assessed the harmful effects of prometryn in teleost fish and shrimp. There is a lack of information regarding the ecological and human health risks, as well as the toxic mechanisms affecting crayfish. In this study, human health risk assessment (THQ) and ecological risk assessment (RQ) were conducted on P. clarkii in the rice-crayfish co-culture (IRCC) farming model. The 96 h of exposure to 0.286 mg/L and 1.43 mg/L prometryn was conducted to investigate the potential effects and molecular mechanisms of hepatopancreatic resistance to prometryn in P. clarkii. The original sample analysis revealed that the THQ calculated from the prometryn levels in the muscle and hepatopancreas was below 0.1, suggesting no threat to human health. However, the calculated RQ values were >0.1, indicating a risk to P. clarkii. Histological analysis and biochemical index detection of the experimental samples revealed that the hepatopancreatic injury and oxidative damage in P. clarkii were caused by prometryn. Moreover, transcriptome analysis identified 2512 differentially expressed genes (DEGs) after 96 h of prometryn exposure. Prometryn exposure caused significant changes in metabolic pathways, including oxoacid metabolic processes and cytochrome P450-associated drug metabolism. Further hub gene analysis via PPI indicated that exposure to prometryn may inhibit lipid synthesis, storage, and amino acid transport and affect glucose metabolic pathways and hormone synthesis. Additionally, we hypothesized that prometryn-triggered cell death could be linked to the PI3K-Akt signaling cascade. This study's findings have significant meaning for the efficient and logical application of herbicides in IRCC, ultimately aiding in advancing a highly productive agricultural system.

A Pragmatic Analysis of Wish Strategies Used by Iraqi EFL Learners

The present study aimed to examine the challenges encountered by Iraqi EFL university learners when using 'wish expressions' at both the recognitive and productive levels. This study aimed to offer a theoretical overview of the syntactic constructions of explicit and implicit wish expressions, along with their semantic and pragmatic functions. The study identified a lack of awareness among Iraqi EFL University learners regarding strategies for expressing 'wish'. Many learners in Iraqi EFL universities tend to use explicit expressions rather than implicit ones when communicating. In order to fulfil the objectives of the study and validate its hypotheses, the researcher devised a diagnostic test consisting of two sections: productive and precognitive. The researcher asked the study sample to express their 'wish' in various situations. The recognitive part of the study involved situations where respondents were required to identify illocutionary forces associated with the expression of 'wish'. The study's findings clearly showed that the majority of participants in the sample expressed their wishes explicitly rather than implicitly. The study drew several conclusions. Firstly, the results of the study revealed that wishes can convey both positive and negative desires, like the intention to bless or curse someone. Secondly, the study conclusively validated its hypotheses by demonstrating that the subjects performed better at the production level than at the precognitive level.

Investigating the cardiotoxicity of N-n-butyl haloperidol iodide: Inhibition mechanisms on hERG channels

The human Ether-à-go-go-Related Gene (hERG) encodes a protein responsible for forming the alpha subunit of the IKr channel, which plays a crucial role in cardiac repolarization. The proper functioning of hERG channels is paramount in maintaining a normal cardiac rhythm. Inhibition of these channels can result in the prolongation of the QT interval and potentially life-threatening arrhythmias. Cardiotoxicity is a primary concern in the field of drug development. N-n-Butyl haloperidol iodide (F2), a derivative of haloperidol, has been investigated for its therapeutic potential. However, the impact of this compound on cardiac toxicity, specifically on hERG channels, remains uncertain. This study employs computational and experimental methodologies to examine the inhibitory mechanisms of F2 on hERG channels. Molecular docking and molecular dynamics simulations commonly used techniques in computational biology to predict protein-ligand complexes' binding interactions and stability. In the context of the F2-hERG complex, these methods can provide valuable insights into the potential binding modes and strength of interaction between F2 and the hERG protein. On the other hand, electrophysiological assays are experimental techniques used to characterize the extent and nature of hERG channel inhibition caused by various compounds. By measuring the electrical activity of the hERG channel in response to different stimuli, these assays can provide important information about the functional effects of ligand binding to the channel. The study's key findings indicate that F2 interacts with the hERG channel by forming hydrogen bonding, π-cation interactions, and hydrophobic forces. This interaction leads to the inhibition of hERG currents in a concentration-dependent manner, with an IC50 of 3.75 μM. The results presented in this study demonstrate the potential cardiotoxicity of F2 and underscore the significance of considering hERG channel interactions during its clinical development. This study aims to provide comprehensive insights into the interaction between F2 and hERG, which will may guid us in the safe use of F2 and in the development of new derivatives with high efficiency while low toxicity.

Perceptions and Satisfaction of E-Health Applications: An Analytical Cross-Sectional Study in a Rural Health Center at Tiruvallur District, Tamil Nadu.

Introduction E-health, defined as the utilization of information and communication technologies for health services, has become integral in enhancing healthcare delivery and accessibility. This study focuses on user satisfaction and perceptions of e-health applications in rural health centers, with special focus on Tamil Nadu, India. E-health technologies have proven to be effective in addressing challenges to healthcare accessibilityand improving patient outcomes, at reduced costs. Despite these benefits, there is a need to understand user experiences in rural settings to optimize the implementation of e-health solutions. Methods A cross-sectional study was conducted among 383 patients registered in a non-communicable disease(NCD) clinic and specialty clinic in the rural health center of a tertiary care hospital in Tiruvallur district. Participants were selected using a consecutive sampling method from the NCD and specialty clinic registers. A semi-structured questionnaire was used to collect data on their perception and satisfaction with e-health applications. Data was entered in (Microsoft) MS Excel (Microsoft Corporation, Redmond, Washington, United States) and analyzed using IBM SPSS Statistics for Windows, Version 25 (Released 2017; IBM Corp., Armonk, New York, United States). Results The overall mean age was 49.45 ± 7 years. Among the study participants, females constituted 57.3% compared to males who constituted 42.7%. 58.3% of the participants had comorbid conditions. More than half of the study participants were educated up to the high school level. According to BG Prasad's classification, 86.9 % of the participants belonged tomiddle class and below. Among the study participants, more than half of them use their smartphones as devices for internet access to use e-health applications. The study participants who had no co-morbid conditions were 3.3 times the odds of having poor perception and satisfaction when compared to the other categories (OR = 3.3, CI = 2.1 - 5.1) in using e-health applications, and this difference was found to be statistically significant (p = 0.01). Conclusion This study's findings reveal that gender, socio-economic status, occupation, and the presence of comorbid illnesses play significant roles in shaping users' perceptions and satisfaction levels. This study's findings underscore the importance of tailored e-health interventions to address these barriers and enhance healthcare delivery in rural areas.

Digital Marketing as A Strategy to Increase Sales and Consumer Satisfaction

The objective of this paper is to conduct a conceptual review of the literature studies that focus on the link between application-based digital marketing methods and the development of consumer satisfaction and sales. The study's findings indicate that digital marketing is a marketing strategy that capitalizes on the advancement of information and digital technology. Implementing this strategy in a business must consider various internal and external factors to determine the suitability and most appropriate digital marketing strategy for maximum results according to the set objectives. Online systems are not constrained by time, and they have the ability to determine the timing, audience, location, and duration of their marketing campaigns. This presents a significant opportunity for business growth. Digital marketing provides a plethora of engaging, practical, and limitless content, and digital technology enables business owners to quantify the impact of their content on sales. Additionally, business owners have the ability to visit an unlimited number of online platforms, such as social media, web pages, and other accounts, which can attract loyal customers and increase profits. This paper reviews conceptually based on literature studies on the relationship between application-based digital marketing strategies in expanding sales and customer satisfaction. For further research, we can examine the efficiency of implementing digital marketing strategies and the factors that influence them so that they can be input and recommendations for business actors or companies in implementing digital-based and internet-connected marketing systems so that they can increase consumer satisfaction.

Performance improvement model in a manufacturing company: job satisfaction as mediator

This study’s goal is to determine the effect of work placement and work discipline on performance with job satisfaction as an intervening variable among a manufacturing company during the COVID-19 pandemic. This study design is causal-comparative with a quantitative approach with 100 respondents. The study's findings indicated that work placement had a direct impact on performance, work discipline had a direct impact on performance, job satisfaction had a direct impact on performance, work discipline had a direct impact on job satisfaction, and work placement had a direct impact on job satisfaction. Work discipline did not significantly have an indirect effect on performance.

Prefeasibility study on optimal site location for Power‐to‐X: An experiment for the Danish energy system

Denmark has set ambitious goals to cut greenhouse gas emissions by 70 % by the year 2030, and in an effort to reach this, the Danish Energy Agency has proposed a Power-to-X strategy that involves an overall capacity target of 6 GW of electrolysis by 2030. The objective of the following study was to identify the optimal site location for siting an electrolyser for Power-to-X as a prefeasibility analysis. The results indicated that Jammerbugt was an ideal area, for an add on solution to an already existing wind turbine, with 1303 h of excess wind energy available for Power-to-X. A financial analysis showed that there was an NPV of - €126,032 after a 20-year period, which improves with a theoretical 20 % governmental subsidy to €16,662. Therefore, it was found that Power-to-X is still currently reliant on governmental support as a viable business case. The study's findings highlight the importance of this support for Power-to-X to be a viable business case, such as the decision to allocate 1.25 billion DKK for hydrogen production by 2030.

Environmental forcing and policy synergy: A multidimensional approach in the governance of air pollution and carbon emission

Policy synergies effectively contribute to the integrated management of air pollution and carbon emissions, which is crucial for safeguarding ecosystem stability and public health. This study uses the causal network model of Gaussian process regression to analyze the combined impacts of dynamic and static carbon emission reduction and air quality policies on carbon emissions and air quality. The causal effects of policy measures and their synergistic effects are also examined. The study results indicate: (1) There is significant geographical heterogeneity in the implementation of environmental policies and regional economic development, with the economically developed eastern coastal regions adopting more stringent carbon emission and air pollution control measures, while the western provinces adopt relatively lax environmental policies. (2) The synergistic effect of carbon emission reduction policies and air quality policies exists, and the two types of static policies are substitutable for managing carbon dioxide emissions and air pollution. (3) Policies' forced effect exists, where the exacerbation of environmental problems leads to the formation and implementation of policies. (4) The value added by the secondary industry is a key motivation for forming carbon emission reduction policies and air quality control policies. Additionally, the value added by the secondary industry directly impacts the incidence of respiratory diseases (e.g., tuberculosis). Finally, dynamic and synergistic policy recommendations are proposed based on the study's findings.

Unpacking the dark side of positive online destination brand engagement: effects on stress, disengagement, and switching intention

ABSTRACT The brand engagement has always been a key objective for destination marketers due to its positive outcomes. However, using the Job Demands-Resources (JD-R) theory, this study delves into an unexplored area by investigating the detrimental effects of positive online destination brand engagement (DBE) on perceived stress, disengagement, and destination-switching intention. The study also delves into the sequential mediation effects of perceived stress and consumer disengagement between online DBE and destination-switching intention. The authors conducted an experimental study with three levels of engagement (low, moderate, and high) in an online DBE scenario. They analysed data from 278 consumers using SmartPLS. The study's findings reveal that online DBE positively impacts perceived stress, which in turn leads to consumer disengagement, ultimately resulting in destination-switching intention. The results validate sequential mediation, indicating that the online DBE's indirect effect on destination-switching intention, as mediated through perceived stress and consumer disengagement. Importantly, the experimental manipulation demonstrated that a moderate level of engagement with destination brands yields more favourable outcomes compared to low and high levels, thereby enhancing the study's practical relevance. The study's findings offer valuable insights for destination marketers, underlining the need to manage online brand engagement effectively to avoid negative consequences.

ANALISIS KEMAMPUAN PEMECAHAN MASALAH MATEMATIKA MATERI BANGUN DATAR SISWA KELAS V SEKOLAH DASAR

The purpose of this study is to characterize and understand the mathematical problem-solving skills of fifth-grade students at SDN 1 Tanjung Sari, particularly with regard to narrative problems with flat forms. This study employs a qualitative descriptive methodology that focuses on close observation and in-depth examination of the research participants, who are SDN 1 Tanjung Sari fifth-grade pupils. Two primary methods were used in this study to gather data: assessments of students' mathematical problem-solving skills and interviews. The Miles and Huberman Model, which has three primary stages data reduction, data presentation, and conclusion drawing was used to conduct the data analysis. The technique of eliminating extraneous or useless data is known as data reduction. Data presentation is the process of arranging and displaying information in a way that is simple to understand. Drawing conclusions from study results entails analyzing data and drawing judgments. The study's findings indicate that pupils' average proficiency in solving mathematical problems involving flat shapes is 75.78, falling within the middle range. This indicates that although there is still need for development, pupils' grasp of the notion of flat forms is adequate. The study indicated that, when considering learning interest, students' average mathematical problem-solving skill was 87.22 for high learning interest students, 74.85 for moderate learning interest students, and 57.80 for low learning interest students. This demonstrates that students' aptitude for solving mathematical puzzles is greatly influenced by their learning interests. Overall, this study offers significant new information on how learning interests might influence students' ability to solve mathematical problems. Future instructional materials for more efficient learning can be developed using these findings as a foundation

The Effect of Customer Reviews on Impulsive Buying at Tik Tok Stores (Study Generation Z in Indonesia)

The purpose of this study is to ascertain how online customer reviews, which are influenced by price consciousness, risk perception, and trust, affect impulsive online purchases on Tik Tok. Generation Z is the group of people who have made purchases on Tik Tok and are now patrons of the Tik Tok online store. Purposive random sampling was the approach used for sampling. First, they must be members of Generation Z; second, they must have made a purchase on TiK Tok. A sample of 135 members of the Z generation was acquired. Smart-PLS was used to analyze the data. The study's findings indicate that: 1) customer reviews have a favorable impact on impulsive online purchases made on Tik Tok; and 2) customer reviews have a negative impact 3) risk perception positively impacts impulsive buying; 3) risk perception positively impacts trust; 4) customer reviews positively impacts trust; 5) trust positively impacts impulsive buying; and 6) customer reviews positively impacts impulsive buying decisions made online. The relationship between customer reviews and impulsive buying is moderated by price consciousness.

Exploring mathematical reasoning skills of middle school students

This study was conducted to determine the types of mathematical reasoning skills of 7th-grade (12–13 age) students. The research was conducted with twelve participants selected from among the 7th-grade students of two different teachers. This study used A qualitative research approach, and a holistic case study design was applied to the research design. The Mathematical Reasoning Skill Test prepared by the researchers was used as a data collection tool. The findings of semi-structured interviews also supported the data obtained from that test. For the student's mathematical reasoning skills, descriptive analysis was used based on the analysis chart created by Lithner (2005, 2008). The study's findings showed that these 7th-grade students used algorithmic mathematical reasoning more frequently, which is one of the imitative reasoning types, despite also using various types of reasoning in the face of the problems they encountered.

The Influence of Self Efficacy and Job Satisfaction on Employee Performance in HR Management PT Mitra Adiperkasa

In order to better understand the impact of self-efficacy on PT Mitra Adiperkasa employees' performance, as well as the ways in which work satisfaction and self-efficacy interact with one another, this research will examine both variables alone and in combination. Topics addressed by this study's quantitative approaches include descriptive data analysis, causation, and the use of primers derived from surveys given to PT Mitra Adiperkasa's HR Management staff. Saturated sampling, in which 62 people are chosen at random from the whole population, was used for the sampling process. This study makes use of multiple linear regression as its method of data analysis. Both self-efficacy and work satisfaction are deemed positive by descriptive study. Simultaneous hypothesis testing, however, found that both self-efficacy and work satisfaction had an effect on productivity. Employee performance is partly influenced by the self-efficacy variable, according to this study's findings. The coefficient of determination shows that self-efficacy and work satisfaction account for 35.7% (or 0.357) of the variance in employee performance. At the same time, variables not included in the analysis account for 64.3% of the variance in employee performance.

Lessons of the COVID-19 Pandemic for Ambulance Service in Kazakhstan.

Emergency medical services (EMS) are intended to provide people with immediate, effective, and safe access to the healthcare system. The effects of pandemics on emergency medical services (EMS) have not been studied sufficiently. The aim of this paper is to assess the frequency and structure of calls at an ambulance station in Kazakhstan during the period of 2019-2023. A retrospective analysis was conducted to estimate the incidence of emergency assistance cases from 2019 to 2023. An analysis of the structure and number of ambulance calls before the pandemic, during the pandemic, and post-pandemic period did not reveal significant changes, except for calls in urgency category IV. Patients of urgency category IV handled by an ambulance decreased by 2 and 1.7 times in 2020 and 2021, respectively, which appears to be related to quarantine measures. In 2022 and 2023, category IV calls were 4.7 and 4.5 times higher than in 2019. This study's findings suggest no changes in the dynamics of ambulance calls, except urgency category IV calls. The number of category IV urgent calls decreased significantly during the COVID-19 pandemic and increased in the post-pandemic period.

Local synthesis of estradiol in the rostral ventromedial medulla protects against widespread muscle pain in male mice.

Animal studies consistently demonstrate that testosterone is protective against pain in multiple models, including an animal model of activity-induced muscle pain. In this model, females develop widespread muscle hyperalgesia, and reducing testosterone levels in males results in widespread muscle hyperalgesia. Widespread pain is believed to be mediated by changes in the central nervous system, including the rostral ventromedial medulla (RVM). The enzyme that converts testosterone to estradiol, aromatase, is highly expressed in the RVM. Therefore, we hypothesized that testosterone is converted by aromatase to estradiol locally in the RVM to prevent development of widespread muscle hyperalgesia in male mice. This was tested through pharmacological inhibition of estrogen receptors (ER), aromatase, or ER-α in the RVM which resulted in contralateral hyperalgesia in male mice (C57BL/6J). ER inhibition in the RVM had no effect on hyperalgesia in female mice. As prior studies show modulation of estradiol signaling alters GABA receptor and transporter expression, we examined if removal of testosterone in males would decrease mRNA expression of GABA receptor subunits and vesicular GABA transporter (VGAT). However, there were no differences in mRNA expression of GABA receptor subunits of VGAT between gonadectomized and sham control males. Lastly, we used RNAscope to determine expression of ER-α in the RVM and show expression in inhibitory (VGAT+), serotonergic (tryptophan hydroxylase 2+), and μ-opioid receptor expressing (MOR+) cells. In conclusion, testosterone protects males from development of widespread hyperalgesia through aromatization to estradiol and activation of ER-α which is widely expressed in multiple cell types in the RVM.Significance Statement This study's findings reveal, for the first time, that testosterone protects males from development of widespread muscle hyperalgesia through aromatization to estradiol and activation of ER-α within the RVM. The findings also show, for the first time, ER-α expression in the RVM in male mice, and the distribution patterns of this expression among multiple cell types. Thus, together our data suggest a unique endogenous mechanism in the RVM for protection against widespread pain in males only.

A Bibliometric Analysis: The Influence of Service Profit Chain (SPC) on the Hospitality Industry

In the hospitality industry, the service-profit chain establishes relationships between profitability, customer loyalty, employee satisfaction, loyalty, and productivity. It shows that focusing on employee engagement and customer satisfaction might boost a company's financial performance. This relates to how well the company supports and assists its employees. Several studies have empirically investigated the relationship between practices in the service profit chain and their impact on the tourism and hospitality industries. The service profit chain is based on the premise that market leadership requires an emphasis on managing value drivers that are the most important determinants of success: employee retention, employee satisfaction, and employee productivity, which have the greatest impact on success and provide the most benefit to customers. Bibliometric studies that organize production in this field, however, are still scarce. The study's goal is to analyze the influence of service profit chain practices in hospitality industry using VOSviewer software that is related to marketing. This will be achieved by analyzing articles published on the SCOPUS platform to determine state-of-the-art trends and other relevant indicators. Researcher obtained a sample of 57 materials for analysis. The author processed the data and used the VOSviewer software to graphically illustrate the results. The study examines country-wise productivity, most productive source titles, most-cited sources on the topic, top-most keyword occurrences, and yearly productivity research output trends in this area. The study findings indicate that the United States, China, Australia, Germany, India, Egypt, Malaysia, and Brazil are the most productive countries in the field of research output on the topic. The investigation also reveals that the top-most source title on the topic is “International Journal of Contemporary Hospitality Management,” and frequently used keywords are "articles,” “customer satisfaction,” and “service profit chain." On this topic, the USA is the leading country. However, research on the service profit chain and hospitality in Asia has shown that South Korea and China are the most successful countries in this field. Only the SCOPUS database contains the study's findings. The study's findings are useful for academicians, researchers, and policymakers looking for answers to the topic.

Lipocalin-2 as a marker of inflammation, bone density, and triglyceride-glucose index for new-onset arthritis patients in Mosul, Iraq.

Lipocalin-2 is an acute phase-associated adipokine that can serve as an inflammatory and biomarker indicator of cartilage deterioration in osteoarthritis. However, its role in the musculoskeletal system remains not fully understood. Hence, this study aimed to evaluate lipocalin-2 and its relationship with markers of inflammation (Interferon-gamma, ESR, and CRP), bone density (vitamin D3 and calcium), and the triglyceride-glucose index in new-onset arthritis patients in Mosul, Iraq. This study included 125 participants aged 20 to 65, divided into two groups. The Arthritis Patient Group comprised 70 participants (37 females and 33 males) attending the Bone Diseases Consultation Unit at the Ibn Sina Teaching Hospital in Mosul, Iraq. The Control Group comprised 31 females and 24 males. Ethical approval was obtained from the Iraqi Ministry of Health - Nineveh Health (No. 2022095). Commercial ELISA kits were used to measure serum lipocalin-2, Interferon-gamma, ESR, and CRP as inflammation markers, vitamin D3, and calcium as bone density markers. Moreover, the Triglyceride Glucose (TYG) Index was evaluated. The findings revealed a significant increase in lipocalin-2 levels in males compared to females, with LCN-2 increasing with age. Arthritis patients showed a significant increase (72%) in lipocalin-2 levels. Inflammatory indicators (erythrocyte sedimentation rate, C-reactive protein, interferon-gamma) displayed significant increases (46%, 1200%, and 581%, respectively). Glucose (23%), triglycerides (71%), and TYG index (21%) also exhibited significant increases. Meanwhile, bone density indicators (vitamin D3 and calcium) found a significant decrease (53% and 20%, respectively) in arthritis patients. Linear correlation coefficient (R) analysis revealed a significant positive relationship between lipocalin-2 and indicators of inflammation, glucose, TG, and TYG index. This study's findings suggest that LCN-2 serum levels were higher in patients with new-onset arthritis than in controls in Mosul, and LCN-2 serum increased in males compared with females and getting older serum LCN-2 increased for the patients and control groups. Furthermore, a significant correlation was found between the Triglyceride Glucose Index, which measures metabolic disorders, and serum LCN-2 levels and inflammatory indicators in new-onset arthritis patients in Mosul, Iraq.

Boosting Students’ ESP Vocabulary by Utilizing AI Chatbot

Technology integration in foreign language learning is a must today. One of the issues is the utilization of artificial intelligence (AI) Chatbot in English language teaching. Some studies have mentioned the benefits and advantages of using AI Chatbot. Nonetheless, none of the studies examines deeply on hoe ESP vocabulary. To fill the gaps, this study examines the effect of AI Chatbot especially Dialogflow enhanced the ESP vocabulary acquisition. The experimental comparison of two groups—an experience group and a control group—is the backbone of this study in order to accomplish that purpose. Both groups underwent pre-tests and post-tests to assess the effectiveness of utilizing AI chatbot in learning ESP vocabulary. The chatbot content was meticulously constructed to incorporate vocabulary features such as synonyms and concise explanations of word meanings. The study's findings revealed that utilizing chatbots significantly improves the acquisition of ESP vocabulary. It was found that students in the experimental group that used Dialogflow, a chatbot, performed better than students in the control group. To add, the study suggests that chatbots could be utilized in many situations to enhance language learning in general or in specific ESP courses. A chatbot provides a stimulating setting to facilitate positive interactions where the negotiation of meaning occurs explicitly, which appears to greatly benefit learners in advancing their second language lexical development.

Exploring post-usage behaviour in app-based ride-sourcing services: Evidence from Egypt

Despite numerous studies focusing on ride-sourcing services, most have concentrated on users' pre-usage behaviour. This study explores users' post-usage behaviour, aiming to identify significant factors affecting existing users' intentions to continue using app-based ride-sourcing services in Egypt. Integrating the Expectation-Confirmation Model (ECM), the Technology Acceptance Model (TAM), and the Technology Readiness Model (TRM), this research identifies key determinants influencing users' perceptions and continued usage intentions. An online questionnaire collected empirical data from 381 respondents, analysed using partial least squares structural equation modelling (PLS-SEM). The results highlight the essential roles of optimism, innovativeness, discomfort, and insecurity in shaping users' perceptions of ride-sourcing apps' usefulness. Additionally, perceived ease of use is determined by innovativeness and discomfort. Furthermore, users' continuance usage intention is significantly associated with satisfaction level, perceived usefulness, and perceived ease of use. This study's findings offer valuable insights for service providers, aiding their understanding of variables influencing users' decisions to continue using ride-sourcing apps and enabling them to retain and satisfy their current users effectively.

Mapping the risks in technology integration for sustainable outcomes

PurposeTechnology uptake in supply chains frequently encounters challenges when immediate, tangible benefits are not evident. Therefore, this article's central objective is to pinpoint the risks affecting the integration of supply chain technologies for enduring outcomes. Subsequently, these risks will be organized into a hierarchical structure, facilitating a clearer comprehension of their direct and indirect interconnections.Design/methodology/approachA combined TISM and quantitative approach has been used to build the hierarchal structure and to validate the direct, and indirect relationship among risks adopting supply chain technologies. A total of 41 respondents participated in the TISM survey, which resulted in creating a level hierarchical structure. Further, 233 responses are used for the quantitative study using SEM to validate the model obtained from TISM.FindingsThe study's findings indicated the social risks come out with the highest driving power. This includes the fear of job displacement, community disparity and change in the work culture of an organization. At the same time, technological risks can cause system integration, scalability issues, obsolesce compatibility issues, system failures and supply chain sustainability issues.Originality/valueThe novelty of the study can be found in the developed framework and its subsequent confirmation via quantitative evaluation. TISM provides the theoretical foundation, while a quantitative investigation is carried out to verify this theory.