Development Process Research Articles

Iterative Problem Development Process in Startup Innovation Contests

Iterative Problem Development Process in Startup Innovation Contests

New Product Development Process of Frugal Innovations in Healthcare

New Product Development Process of Frugal Innovations in Healthcare

Patient-Led Research to Develop a Training Programme for Restoring Musical Joy in Cochlear Implant Recipients: A Reflexive Process Evaluation.

The role of patients in healthcare research is slowly evolving, although patient roles in the research process are limited. This paper reports on a patient-led research project aiming to develop a musical hearing training programme for patients with a cochlear implant (CI): the Musi-CI programme. A CI is an inner ear prosthesis that allows people with severe hearing loss to hear. However, while speech can be understood, CI users cannot fully enjoy music or feel aversion to it. The Musi-CI programme aims to reduce this music aversion to ultimately improve music enjoyment and social participation. The development of the Musi-CI programme was supported by a consortium of professionals in CI rehabilitation and research. The aim of this paper is to describe and evaluate the Musi-CI programme development process and its impact on professional CI rehabilitation and research. Programme development was described using a 3-layered process model of action research, distinguishing the CI user process, the healthcare professional process and the research process. To evaluate perceptions on the programme development process, consortium partners provided written commentsand participated in a reflexive evaluation session that was video-recorded. Reflexive evaluation aims for collective learning and strengthening collaboration among participants. Written comments and video data were analysed using template analysis. The involvement of an expert by experience was perceived as challenging but rewarding for all consortium partners, opening up new perspectives on CI-rehabilitation practice and research. Data analysis revealed two themes on the programme development process, professional space and acknowledgement, and two themes on the outcomes on CI rehabilitation and research: critical reflection and paradigm shift. Experts by experience represent a different knowledge domain that may contribute to change in rehabilitation and research. The development of the programme was initiated by a professional musician and CI user who organized the funding, had a leading role throughout the research process, including the write-up of the results, and co-authored this paper.

Repetitive shock waves generated by a single long pulse underwater arc discharge

The electrohydraulic effect induced by underwater arc discharge is an efficient way to generate controllable, high-intensity shock waves. However, the development process of underwater arc discharge involves the complex coupling of plasma arc, gas bubble, and liquid medium, of which the evolution mechanism is not well understood. In this paper, the underwater arc discharge process at a millisecond pulse (>50 ms) was investigated by high-speed shadow imaging and colorimetric temperature measurement, and a simulation model of bubble pulsation was proposed to quantitatively estimate the state variation and energy transfer of the gas bubble. The results indicate that the whole arc discharge process can be categorized into three successive stages: short-period oscillation, long-period oscillation, and quasi-steady state. The vapor inside the bubble can reach a supercritical state (827 K and 140 MPa) at the minimum bubble radius. The simulation shows that the light radiation absorption and the heat conduct loss through metal electrodes are the two dominant factors influencing the pulsation of the bubble, and further analysis indicates that the dynamic evolution of the arc determines the bubble pulsation mode. Our findings demonstrate why and how repetitive electrohydraulic shock waves can be generated by a single long pulse underwater arc discharge, providing a low-cost way of shock wave generator based on an AC/DC high-voltage power source.

What is the critical impact of strategic alliances on innovation, product development, and organizational performance? Three studies in SMEs-An Indian context

ABSTRACT This study addresses the dynamic interaction of strategic alliances (SA) on innovation (IN), product development (PD) and organisational performance (OP) in the Indian small and medium enterprises sector. Three empirical studies (Study 1: N = 170; Study 2: N = 185; Study 3: N = 200) were conducted to test the impact of SA on IN, PD and OP. The questionnaire was distributed to the top- and middle-level managers in Indian SMEs. Furthermore, we applied regression and correlation analysis to explore the relationship between our study variables. The result of Study 1 indicates that there is a significant relationship between SA and IN. In addition, resource integration (RI) plays a significant mediator role between SA and IN. The result of Study 2 indicates that there is a positive impact of SA on PD. In contrast, knowledge sharing (KS) has an insignificant effect on the relationship between SA and PD. The result of Study 3 reveals that there is a positive impact of IN, sustainability (SU) and environmental factors (EF) on OP. This study provides a critical and practical contribution to SA by examining the impact of SA on the organisational performance development processes (IN, PD and OP).

Advancements in field development planning through mathematical analysis for reserves estimation, casing design, accidental events and carbon dioxide storage

The objective of this work is to introduce novel methodologies in specific parts of Field Development Plans (FDPs) by leveraging contemporary technological advancements, industry best practices, and accumulated knowledge. The proposed methodologies comprise volumetric analysis by conducting stochastic simulations within a Monte Carlo framework to evaluate the associated uncertainties and a piston-like CO2 storage scheme (based on the material balance approach) aiming to enhance natural gas production and at the same time store CO2, mitigating climate change. Optimization of drilling operations based on appropriate material selection from commercial casing tables and assignment of a failure probability of casing configuration are also included. Another proposed methodology involves spatial risk analysis simulating accidental events based on the points of interest (POIs) and the distance from the event. Finally, a stochastic analysis of project economics is conducted showing uncertainties of cashflows throughout the economic life of the project and assessing the outcomes using various probabilistic performance metrics. The integration of these methodologies offers a robust framework for enhancing the effectiveness of FDPs and their applications, aligning with the evolving demands and complexities of the oil and gas sector. Such methodologies, rooted in mathematical tools aiming to quantify uncertainty in various ways, can increase production, potentially reducing costs through carbon tax incentives and benefit the environment. The applicability of the proposed methodology is demonstrated at the Frigg field, a natural gas reservoir situated in the Norwegian sector of the North Sea. Given its historical development in the 1970s and 1980s, the Frigg field serves as a rich repository of data and information for comparative analysis and fine-tuning of the proposed methodologies. The present study bridges the gap between theoretical advancements and practical applications, promoting innovation and efficiency within the oil and gas field development processes.

“Open data means business”: Infrastructural and economic implications of opening up data in smart London

Around 2009–2010, opening up public data was a governmental strategy in the UK, as part of the implementation of the Transparency Agenda, based on the assumption that unfettered access to government data would inexorably lead to transparency, accountability and participation. Following this conjecture, and in an attempt to create an alternative to the corporate-driven smart city discourse, the Greater London Authority prioritised open data in its initial smart city plans to facilitate a ‘citizen-centred’ smart city. However, subsumed within the digital economy, open data was eventually promoted and implemented primarily for its lucrative potential to create new businesses, rather than prioritising the aspirations of transparency and participation. In this article, I explore the implications of this shift and the nature of open data- driven smart city making by focusing on a transport app, Citymapper that is built on open data released by Transport for London (TfL). By closely studying the app's product development process to generate profit together with its struggle to raise funding through venture capital and crowdfunding, I arrive at two main arguments. First, I argue that open data driven smart city making in London was a form of experimentation instead of a formal and rigid planning as it saw open data as an end in itself without much understanding of what this process would lead to in practice. As such, the case of Citymapper shows that the contingent process of opening up public transport data meant opening up public infrastructure in the city. Second, by examining the app's unsustainable business models and detailing its struggle to maintain revenue and profitability, I outline how open data-driven products are ultimately subsumed within the logic of platform capitalism rather than creating an alternative digital economy.

Recent Advances in Nanocarrier-based Approaches to Atopic Dermatitis and Emerging Trends in Drug Development and Design.

Atopic dermatitis (AD), commonly known as Eczema, is a non-communicable skin condition that tends to become chronic. The deteriorating immunological abnormalities are marked by mild to severe erythema, severe itching, and recurrent eczematous lesions. Different pharmacological approaches are used to treat AD. The problem with commercial topical preparations lies in the limitation of skin atrophy, systemic side effects, and burning sensation that decreases patient compliance. The carrier-based system promises to eliminate these shortcomings; thus, a novel approach to treating AD is required. Liposomes, microemulsions, solid lipid nanoparticles (SLNs), nanoemulsions, etc., have been developed recently to address this ailment. Despite extensive research in the development method and various techniques, it has been challenging to demonstrate the commercial feasibility of these carrier- based systems, which illustrates a gap among the different research areas. Further, different soft wares and other tools have proliferated among biochemists as part of a cooperative approach to drug discovery. It is crucial in designing, developing, and analyzing processes in the pharmaceutical industry and is widely used to reduce costs, accelerate the development of biologically innovative active ingredients, and shorten the development time. This review sheds light on the compilation of extensive efforts to combat this disease, the product development processes, commercial products along with patents in this regard, numerous options for each step of computer-aided drug design, including in silico pharmacokinetics, pharmacodynamics, and toxicity screening or predictions that are important in finding the drug-like compounds.

ITER TF Load Transfer and Precompression Assembly Process Development

ITER TF Load Transfer and Precompression Assembly Process Development

Quantification of human intravenous immunoglobulin from plasma and in process samples by affinity chromatography

Advances in affinity chromatography now make it possible to analyze immunoglobulin G from plasma and its fractions with a simple chromatographic method. Ligands derived from camelid antibodies have been developed which have affinity to all 4 subclasses of human IgG without a cross reactivity to other immunoglobulins. The commercially available Capture Select FcXL is the basis for a simple method for direct quantification of immunoglobulin G from plasma or from fractions from cold ethanol precipitation. After direct injection of the sample into the column the unbound proteins are washed out with equilibration buffer and eluted with a pH-step. The elution the peak is integrated, and quantity is derived form a standard curve. The limit of detection with 40 µg/mL, and a linearity up to 250 µg/mL allows an analysis of samples ranging from 0.04 to 50 mg/mL using varying injection volume without further dilution and the two-wavelength detection. A full cycle is completed within five minutes. This method can serve as orthogonal method for in-process control but also for process development.

Reshaping the World with Computer Technologies and Their Impact on the Development of Processes in the Field of Real Estate Trading

Purpose: This study examines artificial intelligence (AI) impact on real estate, highlighting its role in improving processes, enhancing customer experiences, and ensuring competitiveness while prioritising data protection and security. Methodology/Approach: A comprehensive literature review compared AI technologies in real estate, including drones, the Internet of Things (IoT), cloud computing, big data, 3D scanning, wearables, virtual and augmented realities, and robotics. It examines their impact on operations, focusing on AI in Heating, Ventilation and Air Conditioning (HVAC) systems for energy efficiency and comfort. Findings: AI enhances real estate development by optimising operations, transforming customer relationships, and improving energy efficiency and comfort with AI-controlled HVAC systems. Benefits include automated data processing, better decision-making, and optimised marketing strategies. Research Limitation/Implication: AI has great potential, but its implementation is in the early stages, including in real estate. Challenges include data protection, security, costs, and new hardware for HVAC systems. Broader real-case testing is needed. Originality/Value of paper: This paper broadens the perspective on AI's impact on real estate, showing how to implement AI in various processes. It improves performance and transforms customer experiences, setting new standards for property management.

Strengthening Democracy and Law Post The 2024 Elections in Indonesia

A strong democracy will create broader public participation in the development process through transparent and accountable democratic mechanisms. Thus, democracy is a political system that ensures inclusive and sustainable economic growth and creates solid social stability. As individuals and communities, we are responsible for strengthening democracy to realize equitable and sustainable national development through active involvement in democratization and support for policies that favor social justice and shared prosperity. After the 2024 elections, polarization in society due to the power struggle is still felt, so the role of political parties and the government is crucial in maintaining political stability and the country's future development. This research will analyze the factors that can be used to strengthen democracy. The results show that the rule of law determines the process of strengthening democracy, the role of political parties, community involvement, and the professionalism of election organizers to achieve common goals and national progress.

Optimization of basic chemistry learning: Validation of stem-based problem-based learning materials for chemical equilibrium

Background: The objective of this study is to create Basic Chemistry learning materials focused on the topic of Chemical Equilibrium using a STEM Problem-Based Learning approach. Effective learning is necessary to enhance students' understanding of complex chemistry concepts. Method: This study adopts the STEM Problem-Based Learning material development method, utilizing the ADDIE model, which consists of five steps: analysis, design, development, implementation, and evaluation. After the development process, the learning materials were assessed through an expert review stage. Evaluation was conducted to assess the validity of the design, pedagogical validity, and content validity using Aiken's coefficient as an indicator. Results: The expert review evaluation results showed high Aiken's coefficients: 0.98 for design validity, 0.95 for pedagogical validity, and 0.96 for content validity. These findings confirm that the developed learning materials comprehensively meet validity standards. Conclusion: Based on these evaluation results, it can be concluded that the developed Basic Chemistry learning materials, particularly on Chemical Equilibrium using the STEM Problem-Based Learning approach, meet the validity criteria. Therefore, these learning materials are considered suitable for use in the Basic Chemistry learning process. Novelty/Originality of this study: This study integrates the STEM Problem-Based Learning approach into developing Basic Chemistry learning materials, specifically on Chemical Equilibrium. Using the ADDIE model and comprehensive validation, this study presents a new framework for designing learning materials that simultaneously meet design, pedagogical, and content standards.

Gamify with caution – a three-pronged model to alleviate the dark side of gamification in learning and development

Purpose The primary objective of this study is to highlight the three important aspects of effective gamification at work. The three-pronged model discussed in the study provides an opportunity to adopt a more balanced view of gamification and its use rather than just following the hype and trend concerning it. Design/methodology/approach While there is promising growth in the adoption of gamification in different L&D processes, the issue of the dark side of gamification cannot be ignored. This article approaches the issue with the help of a three-pronged model. This model has been developed after the review of recent studies focusing on the use of gamification in training and L&D process. Findings Gamification can be highly effective in engaging the upcoming generation of employees who are digital natives. However, managers should use gamification with caution. The three-pronged model discussed above can be used to evaluate the effectiveness of gamification for Learning and Development processes. The model provides a balanced view for the use of gamification. The essence of the model is to use gamification to enhance the L&D process and outcome along with enhancing employee motivation and engagement. It is vital to understand that it is a tool and its effectiveness depends upon its right use, by the right person, at the right place and time. Originality/value While there is promising growth in the adoption of gamification in different L&D processes, the issue of the dark side of gamification cannot be ignored. This article approaches the issue with the help of a three-pronged model.

Analysis of the effect of Boezem development as flood control in Dukuh Kupang Surabaya

Background: Flooding is a frequent problem in Dukuh Kupang, Surabaya, causing material losses and disrupting daily activities. The construction of boezems, which are retention ponds to temporarily store rainwater, is considered a potential solution to control flooding in this area. This study aims to analyze the effect of boezem construction on flood control in Dukuh Kupang with the hope of providing new insights into the effectiveness of boezem as flood control infrastructure and providing recommendations for improved flood management strategies in the future. Methods: This study used a descriptive method. Data were collected through questionnaires and scored using a Likert scale. Finding: The results revealed that the feasibility score of boezem construction was 60.2%, indicating that boezem construction is considered quite feasible as a flood control solution, but there is still room for improvement. Conclusion: Respondents in this study recognized the benefits of boezem construction, but also expressed concerns or factors that are not yet fully supportive. There is a negative stigma among the community regarding the construction of boezems, which is largely due to the lack of socialization and community participation in the development process. Novelty/Originality of this study: A study on the effectiveness of booze in Surabaya evaluates technical aspects and considers community perceptions, providing a holistic approach to assessing flood control infrastructure.

Penerapan Model Design Thinking Pada Perancangan Aplikasi Informasi Desa Wisata Kabupaten Bantul

Tourism actors in the current technological era have implemented information systems. With the rapid growth of tourist villages in Bantul Regency, there is a need for promotion and digital information delivery media. However, in developing digital media it is also necessary to pay attention to aspects of the users who are the target market. The design of the application called sidewi mobile (mobile tourist village information system) is based on user experience and needs, using the Design Thinking methodology which has five stages as follows: Empathize, Define, Ideate, Prototype, and Test. The design of the Sidewi mobile application was created using FIGMA software. This research has direct benefits, namely that it can be used as a benchmark for design needs before the development process. The results of the design are then tested using the usability testing method. Using a user friendly design approach and conducting testing using usability testing with the results of five users being able to complete the testing proves that when it was created using user experience there were no significant difficulties when used and it covered all needs.

Determinants Of Total Loans Disbursed By Rural Banks In Indonesia

The financial sector can influence the process of economic development, one of which is through banking by carrying out its intermediary function. One of the banks that have the function of channelling credit and collecting public funds is the Rural Bank. By using the VECM (Vector Error Correction Model) approach model, this study was conducted to determine the long-term and short-term effects of external factors such as Inflation and BI rate and also on internal factors such as the amount of deposits and non-performing loan rates on the amount of credit in the period 2008 - 2022. The results showed both in the long and short term that the internal factors of deposits and non-performing loans had a significant and negative effect on the amount of credit disbursed. External factors such as Inflation and BI rates do not affect the loan disbursed.

Attenuation of endoplasmic reticulum stress improves invitro growth and subsequent maturation of bovine oocytes

Endoplasmic reticulum (ER) stress interferes with developmental processes in oocyte maturation and embryo development. Invitro growth (IVG) is associated with low developmental competence, and ER stress during IVG culture may play a role. Therefore, this study aimed to examine the effect of tauroursodeoxycholic acid (TUDCA), an ER stress inhibitor, on the IVG of bovine oocytes to understand the role of ER stress. Oocyte-granulosa cell complexes (OGCs) were collected from early antral follicles (1.5–1.8 mm) and allowed to grow in vitro for 5 days at 38.5 °C in a humidified atmosphere containing 5 % CO2. Basic growth culture medium was supplemented with TUDCA at various concentrations (0, 50, 100, 250, and 500 μM). After IVG, oocyte diameters were similar among groups, but the antrum formation rate tended to be higher in the TUDCA 100 μM group. The mRNA expression levels of ER stress-associated genes (PERK, ATF6, ATF4, CHOP, BAX, IRE1, and XBP1) in OGCs were downregulated in the TUDCA 100 μM group than those in the control group. Moreover, the TUDCA 100 μM group exhibited reduced ROS production with higher GSH levels and improved in vitro-grown oocyte maturation compared with those in the control group. In contrast, no difference in the developmental competence of embryos following invitro fertilization was observed between the control and TUDCA 100 μM groups. These results indicate that ER stress could impair IVG and subsequent maturation rate of bovine oocytes, and TUDCA could alleviate these detrimental effects. These outcomes might improve the quality of oocytes in IVG culture in assisted reproductive technology.

How to Make the Low-Powered Incentives Mode of the Public Sector Play a High-Powered Incentive Effect- Evidence from China's Government Performance Management Reform

Most challenging is motivating bureaucrats who perform duties during their jobs. Public organizations gain more from low-powered incentives than private sector incentives because of multitasking and lack of rivalry. Political and financial incentives dominate public sector motives, much below private sector incentives. Thus, scholars have concentrated on low-powered incentives to boost public sector incentives. This paper examines performance evaluation scheme-optimized incentive system design and operation. The case study of West Lake District, Hangzhou City, China, shows structure, process, and leadership-based organisational motivation development in performance management reform. The findings suggest that scientifically sound reward schemes necessitate effective interaction between many subjects under the current incentive structure. Transformational leadership defines incentive targets and requires high-quality incentive plans to turn reward plans into organisational incentive power. Performance review employing “classified assessment and classified incentive” can boost incentive power. How subordinate government civil servants view the performance evaluation scheme's fairness will affect their "performance recognition". and organisational incentive. This study improves China's performance-based incentive power system and low-powered incentives. The study indicated that fairness perception strengthens organisational incentives and transformative leadership. The study's district focus may restrict its value. Confirming the findings and studying transformative leadership in other public sectors requires research.

Aspiring to Aspirate: L2 Acquisition of English Word-Initial /p/ Over 10 Years.

This short report describes a longitudinal examination of the acquisition of English-aspirated stops by an initial cohort of 24 adult Slavic-language (Russian, Ukrainian, and Croatian) speakers. All had arrived in Canada with low oral English proficiency, and all were enrolled in the same language instruction program at the outset. Initial bilabial stops in CVCs were recorded at eight testing times: six during the first year of the study, again at year 7, and finally at year 10. Intelligibility was evaluated through a blind listening assessment of the stop productions from the first seven testing times. Voice onset times (VOT) were measured for /p/ from all eight times. Mean /p/ intelligibility improved-mainly during a proposed Window of Maximal Opportunity for L2 speech acquisition-but remained below 100%, even after 7 years. For some speakers, early /p/ productions were minimally aspirated, with VOT increasing over time but remaining intermediate between L1 English and L1 Slavic-Language values at 10 years. However, inter-speaker variability was dramatic, with some speakers showing full intelligibility throughout the study and others showing many unintelligible productions at all times. Individual learning trajectories tended to be non-linear and often non-cumulative. Overall, these findings point to a developmental process that varies considerably from one learner to another. It also demonstrates the serious drawbacks of relying on group means to characterize the process of L2 segmental learning.