Context Of Technologies Research Articles

Research on the Construction of Innovation and Entrepreneurship Platform for College Students in the Context of Digital Technology

Amidst the thriving backdrop of digital progression, the entrepreneurial pursuits of university students are revealing unprecedented vitality and promise. This study delves into the construction of an innovation and entrepreneurship platform tailored for college students within the context of digital technology. It explores the evolving landscape of digital advancement, particularly how it has transformed the traditional paradigms of innovation and entrepreneurship among university students. The study highlights the unprecedented vigor and potential that digital technologies such as big data and artificial intelligence have unleashed in fostering entrepreneurship among the youth. The research focuses on the methodologies, trajectories, and ecological environments that have been significantly altered by the integration of digital technologies into the innovation and entrepreneurship ecosystem. It analyzes how these technologies reshape the way students approach problems, collaborate, and create new ventures. Additionally, the study examines the opportunities and challenges that arise from this digital transformation, discussing potential strategies to overcome barriers and maximize the benefits for student entrepreneurs. By providing a comprehensive analysis of the current state and future implications of digital technology in innovation and entrepreneurship education, this thesis aims to contribute to the existing knowledge base and inform the design of more effective platforms that foster the growth and success of student entrepreneurs.

Conceptualisation and Role of Market Access in Pharmaceutical Industry: A Scoping Review.

Understanding the concept and dynamic process of the evolution of professional identity and roles of market access (MA) in the pharmaceutical industry (pharma) is critical to personal, interpersonal, and professional levels of development and impact. The aim was to carry out a scoping review of the conceptualisation of MA within pharma. BioMed Central, WorldCat.org, and Directory of Open Access Journals were searched from 2003 to 2023. All articles on concepts or definitions and other surrogate terms on MA in pharma were selected. Keywords generated from an initial cursory literature search on MA in pharma were used in conjunction with AND/OR as search terms. Using the data charting method, key findings were mapped and summarised descriptively. inductive analysis was performed, allowing codes/themes that are relevant to the concept to emerge. Arskey and O'Malley's six-stage framework and the PRISMA extension for scoping reviews extension checklist were used as the review and reporting templates. The databases search yielded 222 results. Following title and abstract screening, a total of 146 papers were screened, and 127 of them were excluded. Full-text review was conducted for 19 papers that were deemed by two reviewers to meet the eligibility criteria. One of the authors arbitrated on disputed papers for inclusion. Only 14 of the included papers were found to meet the criteria for the final analysis. Five conceptual dimensions of MA in pharma were identified as "right products", "right patient", "right price", "right point" (time), and "right place" (setting). Market access in pharma is a process that commences with the development and availability of the right products that are proven to be efficacious and disease/condition-specific (including medications, medical devices, and vaccines); specifically produced for the right patients or end users who will maximise best clinical outcomes and economic value; delivered at the right point in a timely, sustained, and efficient manner, given at the right price (commercially viable or reimbursed price that represents good value); and conducted within the economic, policy, societal, and technological contexts, with the overarching goal of achieving the best patient outcomes and ensuring product profitability.

Adoption Intention of Employees Towards AI in Technology

The rapid advancement of artificial intelligence (AI) technology has led to its increasing adoption by businesses, promising transformative changes across various industries. However, despite its potential benefits, many organizations are still in the early stages of AI adoption, grappling with complexities and uncertainties surrounding its integration into operations. Concerns about the future of work, including issues related to data privacy, human value, biases, and transparency, have accompanied the rise of enterprise AI. Nevertheless, there is also optimism regarding AI's potential to enhance decision-making, stakeholder relationships, and innovation. Top management support plays a crucial role in facilitating AI adoption within organizations, with strong leadership seen as essential to overcoming adoption-related challenges. The technology-organizational-environment (TOE) framework provides a useful lens for understanding the adoption of AI within socioenvironmental and technological contexts. Despite significant progress in understanding AI adoption from an organizational perspective, the perspectives of employees remain relatively understudied. This research aims to address this gap by exploring how employees' cognitive and affective attitudes toward AI influence their behavioral responses during the pre-adoption phase. By utilizing the cognitive appraisal theory, this study seeks to uncover the factors shaping employees' attitudes toward AI and their intentions to use or leave organizations. Understanding these dynamics is essential for promoting a conducive environment for AI adoption and fostering creativity and innovation in the workplace. Additionally, this study utilized a Google Form questionnaire to collect data from employees.

Analysis of the Relationship Between E-Commerce Business and Technology-Based Accounting Information Systems with Company Audit Needs

This study explores the relationship between E-commerce business operations, Technology-Based Accounting Information Systems (AIS) adoption, and corporate audit needs through a quantitative analysis approach. Drawing on data collected from 234 participants representing E-commerce firms and audit professionals, the study employs Structural Equation Modeling (SEM) with Partial Least Squares (PLS) to analyze the relationships among key variables. The findings reveal significant positive associations between E-commerce characteristics and Technology-Based AIS adoption, as well as between Technology-Based AIS adoption and corporate audit needs. Furthermore, mediation analysis demonstrates that Technology-Based AIS adoption partially mediates the relationship between E-commerce characteristics and corporate audit needs. Additionally, moderation analysis indicates that firm size and industry type moderate these relationships, with larger firms and those in technology-intensive industries exhibiting stronger associations. These findings underscore the importance of technological innovation and organizational context in shaping audit readiness and effectiveness within E-commerce environments.

“Research on Music Emotion Analysis and Dance Creation Based on Neural Network”

The one-of-a-kind avenues for self-expression that dancing provides as a form of physical art. Movements of the body, both internal and external, and other forms of expression make up the bulk of a dancer's lexicon. Through passive observation, the viewer is able to catch up on the dancer's intended meaning through their body language. It's the one-of-a-kind way that each dancer finds to convey feeling and story through their body. In this piece, we intelligently oversee dance training and take on challenging nonlinear control problems by combining AI technology and the BP neural networks (BPNN) approach.In this study, the training dance teachers receive in dance language, talking music for dancing, and stage art was evaluated using the BPNN technique and the PCA-BPNN strategy. Median accuracy for the BPNN research model is 85.35 percent as age 80 approaches, whereas for the PCA-BPNN research model it is just 65.64 percent. This demonstrates that the BPNN grading model provides more precise results than the PCA-BPNN model. Using BPNN algorithm-based dancing performed within the context of artificial intelligence technology is one way to attain two goals: the spread and pleasure of beauty, and the harmonious combination of athletics and the arts. These two aims are not mutually exclusive.

Informed Ignorance as a Form of Epistemic Injustice

Ignorance, or the lack of knowledge, appears to be steadily spreading, despite the increasing availability of information. The notion of informed ignorance herein proposed to describe the widespread position of being exposed to an abundance of information yet lacking relevant knowledge, which is tied to the exponential growth in misinformation driven by technological developments and social media. Linked to many of societies’ most looming catastrophes, from political polarization to the climate crisis, practices related to knowledge and information are deemed some of the most imminent and daunting modern threats, evidenced by the latest report of the World Economic Forum, which has named misinformation the most severe short-term global risk. This paper’s epistemic perspective links the properties of today’s information culture and the ways in which it interacts with individual capacities and limitations in current technological and socio-political contexts. Such a position is analyzed through the lens of epistemic principles as a contemporary epistemic phenotype that emerges from an environment of ill-adapted and excessive information inputs and leads to a distinctive type of social injustice that is primarily epistemic in nature. While equity and accessibility are widely discussed as important contributing factors to epistemic discrepancies, other overlooked but fundamental issues underlying epistemic injustices are considered, such as information manipulation, cognitive limitations, and epistemic degradation. To effectively face this elusive threat, we propose an inclusive viewpoint that harnesses knowledge from cognitive science, science and technology studies, and social epistemology to inform a unifying theory of its main impacts and driving forces. By adjusting a modern epistemic framework to the described phenomena, we intend to contextually outline its trajectory and possible means of containment based on a shared responsibility to maintain ethical epistemic standards. In a time of international unrest and mounting civil acts of violence, it is pertinent to emphasize the ethical principles of knowledge systems and authorities and suggest policy adaptations to maintain a social contract based on the shared values of truth and freedom.

The Influencing Factor of Big Data Adoption for Indonesia Open Government

The development of digital technology in the industrial revolution 4.0 has made all aspects change, including in the field of government. This is a pressure and challenge for public organizations, as well as an opportunity to reform and adapt through Open Government. Open Government is the starting point of the Big Data era along with the Open Data process as a direct implication of openness in government. Big Data is one of the main elements of Open Government required to be adopted in government business processes. Therefore, the readiness of public organizations in adoption is an important thing to be followed up. This study aims to deliver a literature review the influencing factor of organizations readiness for Big Data adoption with the TOE (Technology, Organization, and Environment) conceptual framework. From the literature review, it is known that for the context of technology, several factors, including advantage, compatibility, complexity, scalability, and information security technology infrastructure influence the readiness in Big Data adoption. From the organizational context, the top management support, financial, human resources are also concluded to have a positive influence. Finally, from the environment point of view, the availability of laws and regulations and the focus on public services are external support systems for Big Data adoption.

OPERATION OF PISTON-CYLINDER ASSEMBLY IN GAS ENGINE COMPRESSORS

Gas engine compressors are indispensable components in a wide array of industrial processes, serving to compress gases for various applications such as power generation, manufacturing, and refrigeration. The efficient operation of these compressors is contingent upon the meticulous orchestration of their internal mechanisms, with the cylinder piston assembly standing as a pivotal nexus of functionality. Comprising a dynamic interplay of precision-engineered components—including the cylinder, piston, piston rings, and connecting rod-the assembly plays a foundational role in facilitating the compression process with reliability and efficacy. This article embarks on a comprehensive exploration of the vital elements constituting the cylinder piston assembly, aiming to unravel the intricate nuances of its design, operation, and optimization. By delving into the nuanced functionalities and structural intricacies of each component, this study endeavors to offer a nuanced understanding of the assembly's significance within the broader context of gas engine compressor technology. Furthermore, the article endeavors to dissect the manifold challenges encountered by the cylinder piston assembly during operation, ranging from issues of thermal management to mechanical wear and misalignment. Through a meticulous examination of these challenges, coupled with an analysis of contemporary methodologies and best practices, this study seeks to unearth actionable insights for enhancing the functionality and longevity of gas engine compressors. By distilling complex engineering concepts into practical insights, this article aims to equip industry practitioners, researchers, and stakeholders with the knowledge and tools necessary to navigate the complexities of gas engine compressor technology with confidence and proficiency. Keywords: cylinder piston assembly, piston rings, crankshaft, connecting rod, gas.

Postcolonialism, culture, and values in evaluating scientific collaborations with minority-serving institutions

Postcolonial theory can be paired with a values-engaged educative evaluation approach to resist imperialism and colonialism in evaluation spaces, de-Westernize conceptualizations of diversity, equity, and inclusion, and extend the capacity of culturally responsive evaluation. Beyond the joining of the values-engaged educative approach and postcolonial theory, Collaboration Research Network theories offer another distinct but complementary avenue for exploring structural power imbalance and invisible hierarchies in science, technology, engineering, and mathematics evaluation contexts. Using these three theories, values-engaged educative, Collaboration Research Network, and postcolonial theory, this qualitative study examined the perceptions and experiences of faculty and students at three minority-serving institutions participating in a science, technology, engineering, and mathematics Center. This study aims to bridge theories traditionally used in research with evaluation frameworks to reconceptualize concepts of diversity, equity, and inclusion.

Validation and extension of two domain-specific information privacy competency models

The purpose of this paper is to validate two domain-specific information privacy competency models (IPCMs); the first for online consumers and the second for users of mobile applications (apps). For the validation of the competency models, we conducted qualitative research, using interviews to collect feedback by a group of nine information privacy experts. Regarding the evaluation, the experts commented largely positively for the structure and content of the IPCMs, as well as for the extent to which they achieve the intended goals. They also provided several points for improvements, which resulted in enhancing the quality of both IPCMs. The validation of the domain-specific demonstrated that this is the first study to empirically examine the privacy competencies that users of specific technological contexts should hold. The IPCMs can be used not only by educators and privacy policy makers for the design of privacy interventions, but also by e-commerce and mobile-apps providers, who could gain important insights into the way that they can be more reliable for their users. Both consumers and users of mobile-apps could benefit from IPCMs by acquiring the necessary privacy competencies through training programs for the protection of their information privacy.

Confidentiality in the Care of Adolescents: Technical Report.

Confidentiality is a foundational element of high-quality, accessible, and equitable health care. Despite strong grounding in federal and state laws, professional guidelines, and ethical standards, health care professionals and adolescent patients face a range of complexities and barriers to seeking and providing confidential care to adolescents across different settings and circumstances. The dynamic needs of adolescents, the oftentimes competing interests of key stakeholders, the rapidly evolving technological context of care, and variable health care billing and claims requirements are all important considerations in understanding how to optimize care to focus on and meet the needs of the adolescent patient. The following assessment of the evolving evidence base offers a view of the current state and best practices while pointing to numerous unmet needs and opportunities for improvement in the care experiences of youth as well as their health outcomes.

The adoption of Industry 4.0 technologies by using the technology organizational environment framework: The mediating role to manufacturing performance in a developing country

AbstractThe study aspires to identify the factors conditioning the adaptation of the fourth industrial revolution (4IR) within the manufacturing industries in Bangladesh, embracing Industry 4.0 (I4.0) technology led by the technology‐organizational‐environment (TOE) framework that links a number of conditioning variables in the manufacturing industries of Bangladesh. I4.0 is going to drastically change the landscape of the extended TOE framework to relate demographics with research variables for implementing I4.0 technology in a developing country. The findings of the study are analyzed using SMART PLS SEM 4.0 and SPSS 29 in order to diagnose technological contexts (IT resource availability, technology readiness, and relative advantage), organizational contexts (strategy and leadership, organizational capabilities, and technology infrastructure), and environmental contexts (market pressure, government support, and technology innovation decision making). The study's data, which were collected with a bootstrap confidence range of 95%, offered evidence in favor of both proposed mediating effects. A statistically significant indirect effect of adaptation of I4.0 technology on manufacturing/industry performance was seen in the analysis. This study is conducted to examine the mediating function of manufacturing performance, which enhances the comprehensiveness of the study. Through the application of the TOE framework, this study investigates the impact of I4.0 technology adoption on manufacturing performance. The theoretical framework of the study has been validated by the TOE model, which aims to heighten manufacturing performance by integrating I4.0. The practical implications of this study, organizations, governments, and practitioners engaged in the implementation of I4.0 technologies within developing nation contexts.

LAB Antagonistic Activities and Their Significance in Food Biotechnology: Molecular Mechanisms, Food Targets, and Other Related Traits of Interest

The ongoing occurrence of foodborne diseases and the imperative need for efficient spoilage and pathogen control in food products constitute a critical challenge for the food industry. The rising demands of consumers for safe, healthy, and clean-label food products have led to an increased interest in natural antimicrobial alternatives. Lactic acid bacteria (LAB) have proven their value in the food industry in recent years, also in reason of their antagonistic properties against undesired microbes and their significant related protechnological attributes. The natural antimicrobial compounds produced by LAB exhibit inhibitory effects on pathogens and effectively inhibit the activities of food spoilage-related organisms. Applying secondary metabolites of LAB, notably bacteriocins, organic acids, and others, has found commercial utility across multiple food sectors, effectively preventing the proliferation of undesirable microorganisms and simultaneously enhancing the sensory properties and overall quality of various food products. This review comprehensively explores the natural microbial compounds produced by LAB, specifically focusing on their antimicrobial action in supporting effective and sustainable microbial management. Additionally, it highlights their strategic application across various technological contexts within the food industry.

Evaluation of Structural, Electronic, Optical and Mechanical Properties of Na-based Oxide‐Perovskites NaXO3 (X = Co, Be, Ba): A DFT study

Here, we employed density functional theory-based first-principles computations to examine the structural, electrical, optical, and mechanical properties of NaXO3 (X = Co, Be, Ba) materials. The ideal lattice constants for each of the three materials were fitted using the Birch-Murnaghan method. These compounds have cubic structures with Pm3m-221 space group. According to investigations of the energy band distributions, all of these compounds have indirect band gaps. Calculations also show that NaCoO3 and NaBaO3 compounds have wide bandgap semiconductor properties, while NaBeO3 shows an insulator performance. The degree of electron localization in particular bands is confirmed by TDOS and PDOS. These compounds absorb light more strongly in the ultraviolet region. We discovered that all of these compounds have a mixture of ionic and covalent bonding behavior. We also discovered that the mechanical stability of each of the compounds is simplified by their cubic shapes. These findings not only advance our knowledge of NaxO3 compounds but also create new opportunities for the materials' possible use in a variety of technological contexts. Additionally, these results offer a theoretical foundation for additional experimental research on these materials.

Assessment of microbial water treatment by direct solar radiation disinfection approach

Abstract The solar sterilization treatment innovation method can be implemented within households to address water pollution, especially those contaminants caused by microorganisms that may lead to waterborne illnesses. During review, water sources in the local area were assessed for turbidity and microbial quality. It was found that river water had turbidity levels of less than 30 NTU (Nephelometric Turbidity Units) during the dry season and typically up to 50 NTU during the wet season. This review aimed to understand the impact of these findings on the local area and its technological context. This study researched the utilization of sun-based radiation to clean the microbial mass tracked down in untreated water. Temperature and length of the openness are the two normal factors that were distinguished. The first water with a microbial heap of 40–55 (CFU) was presented to solar radiation at a temperature of above 44.5 °C outcome 0 (CFU) at the openness season of 6 h. The size and kind of materials utilized for this process were PET bottles of 1.5 L capacity with a half-dark tone. The factual examination at a 95% certainty information stretch has a p-value of <0.0001.

Technological literacy in using Learning Management System among students in higher education institutions Tanzania: the case of two selected universities

This paper aims to test the predictive power of facilitative conditions and technological literacy skills in using the Learning Management System (LMS) for learning in a Tanzanian university setting. The paper adopts a quantitative approach in which data were analysed using the linear regression model after securitising for multicollinearity, linearity, normality of data, homoscedasticity, and measurement reliability. The study’s findings indicate that the environmental context had more predictive power for technological literacy among students than the technological and organisational context. The paper provides insights to educational practitioners in HLIs to strengthen their systems so that the technological learning environment aligns with the student's technological literacy development needs. The findings also highlight the need for university authorities to adopt new technological innovations that could be used to enhance students’ digital literacy skills development and be able to cope with 21st-century skills. By examining the level of technological literacy, the research can shed light on the potential barriers students face in using LMS and point out some areas where interventions are needed. This, in turn, can enhance educational outcomes by improving students’ digital skills and their ability to engage with online learning resources.

Communities of quantum technologies: Stakeholder identification, legitimation and interaction

This paper focuses on stakeholder identification as per the value sensitive design (VSD) approach applied to the context of quantum technologies (QT) and contributes to a better understanding of the complex and dynamic nature of the QT landscape. We provide two comprehensive lists of stakeholders as starting points for VSD researchers and practitioners. These lists encompass a diverse range of organizations, including private companies, government agencies, NGOs, partnerships and professional/trade organizations. Our aim is to facilitate the recognition, legitimation and understanding of stakeholder interactions in the development of QT. These stakeholder lists lay a foundation for designing and implementing policies and strategies that promote the ethical and responsible development of QT, considering the values and interests of various stakeholders. Furthermore, these lists enable empirical and technical studies on specific QT innovations using an ethics-by-design approach like VSD.

Adaptation and psychometric properties of a brief version of the general self-efficacy scale for use with artificial intelligence (GSE-6AI) among university students

BackgroundIndividual beliefs about one’s ability to carry out tasks and face challenges play a pivotal role in academic and professional formation. In the contemporary technological landscape, Artificial Intelligence (AI) is effecting profound changes across multiple sectors. Adaptation to this technology varies greatly among individuals. The integration of AI in the educational setting has necessitated a tool that measures self-efficacy concerning the adoption and use of this technology.ObjectiveTo adapt and validate a short version of the General Self-Efficacy Scale (GSE-6) for self-efficacy in the use of Artificial Intelligence (GSE-6AI) in a university student population.MethodsAn instrumental study was conducted with the participation of 469 medical students aged between 18 and 29 (M = 19.71; SD = 2.47). The GSE-6 was adapted to the AI context, following strict translation and cultural adaptation procedures. Its factorial structure was evaluated through confirmatory factorial analysis (CFA). Additionally, the factorial invariance of the scale based on gender was studied.ResultsThe GSE-6AI exhibited a unidimensional structure with excellent fit indices. All item factorial loads surpassed the recommended threshold, and both Cronbach’s Alpha (α) and McDonald’s Omega (ω) achieved a value of 0.91. Regarding factorial invariance by gender, the scale proved to maintain its structure and meaning in both men and women.ConclusionThe adapted GSE-6AI version is a valid and reliable tool for measuring self-efficacy in the use of Artificial Intelligence among university students. Its unidimensional structure and gender-related factorial invariance make it a robust and versatile tool for future research and practical applications in educational and technological contexts.

Extending the technology acceptance model and empirically testing the conceptualised consumer goods acceptance model

The technology acceptance model (TAM) has not been applied beyond the technological context, despite its widespread applications. This study extends the TAM to consumer goods and validates the conceptualised consumer goods acceptance model (CGAM) using tea-to-go as a proxy for consumer goods. An exploratory research approach based on a quota sample is used to adjust and test the CGAM, showing that the adjusted CGAM and its measures are reliable and valid, thus supporting the hypothesis that extending the TAM to a non-technological context is possible. The results are discussed in light of the data collection, which is based on a cross-sectional setting, assuming consumers’ knowledge of the good and forcing answers based on assumptions. The results show that despite major changes to the exogenous variables, the difference in variance levels between perceived usefulness (PU) and perceived ease of use (PEOU) is in accordance with TAM 3. Thus, PU is the strongest predictor of behavioural intention (BI), supporting the choice of constructs influencing PU. This also indicates that usefulness outweighs ease of use. The findings demonstrate that each variable category has a favourable influence on PU and PEOU. Specifically, cognitive instrumental processes (CIP) and value-related aspects (VRA) are significant predictors of PU, whereas CIP is the most critical driver, highlighting that consumer actions are driven by factors correlated with lifestyle, trends, and price. VRA_1 had the strongest impact on PU, accentuating the high potential of functional ingredients, such as vitamins. Furthermore, the results show that the anchor variables have a stronger impact on PEOU than the adjustment variables, emphasising the importance of enjoyment and indulgence in consumer goods, especially tea-to-go. These findings show that the empirically tested and adjusted CGAM provides a solid basis for measuring the acceptance of consumer goods and identifying key drivers.

Microinclusions: Treating women as respected work partners increases a sense of fit in technology companies.

When people enter new work settings, we theorized that they are vulnerable to questioning whether they will be received in ways that allow them to contribute to shared goals. If so, treatment that clarifies the stance that others take toward the self, which we call microinclusions, that convey a receptivity and supportiveness to one's contributions may bolster a sense of fit. Further, in examining this question in technology contexts, we theorized that such microinclusions may be particularly impactful for women for whom underrepresentation and negative stereotypes make opportunities to contribute especially fraught. Four primary experiments (N = 1,861, Nwomen in STEM = 1,430) tested this theorizing. In Experiment 1, both men and women at a large technology company anticipated greater fit in a work group described with microinclusions, yet this effect was greatest for women. Experiments 2-4 replicated this effect among women science, technology, engineering, and mathematics (STEM) professionals and college students considering a career in technology and showed that women's anticipated fit arose over and beyond socially warm treatment (Experiment 2); arose more when the microinclusion came from a man (vs. another woman; Experiment 3); and arose even when observing another woman receive a microinclusion (Experiment 4). Microinclusions also increased women's commitment to the company (Experiments 2 and 4) and reduced their anticipated experience of stereotype threat (Experiment 3). This research highlights the ambiguity women face in technology settings about whether they will be received in ways that allow them to contribute to shared work goals and the importance of treatment from coworkers that affirms this opportunity. (PsycInfo Database Record (c) 2024 APA, all rights reserved).