bluuebunny/crossref_metadata_2025 huggingface dataset:
Changes in Students’ Perceptions Regarding Adolescent Vaccinations through a Before–After Study Conducted during the COVID-19 Pandemic: GIRASOLE Project Study
Authors: Restivo Vincenzo , Bruno Alessandra , Minutolo Giuseppa , Pieri Alessia , Riggio Luca , Zarcone Maurizio , Candiloro Stefania , Caldarella Rosalia , Immordino Palmira , Amodio Emanuele , Casuccio Alessandra
Published: September 2023

The COVID-19 pandemic caused a reduction in vaccination coverage for all age groups, especially in non-infant age. The main objective of the present study is to evaluate the effectiveness of an online intervention conducted among adolescents during the COVID-19 pandemic in increasing knowledge and positive attitudes toward vaccinations. The study, which took place online from March to May 2021, involved 267 students from six lower secondary schools in Palermo city (Italy); they filled out the questionnaire before and after the intervention. The questionnaire was based on the protection motivation theory (PMT), which estimates the improvement in vaccination-related knowledge and attitudes. The pre- and post-intervention comparison showed a significant increase in the perception of the disease severity: strongly agree pre-intervention n = 150 (58.6%) and post-intervention n = 173 (67.6%, p < 0.001), rated on a five-point Likert scale. In a multivariate analysis, the factor associated with the improvement in the score after the intervention was the school dropout index (low vs. very high dropout index OR 4.5; p < 0.03). The educational intervention was more effective in schools with lower early school leaving rates, an indirect index of socio-economic status. The topic of vaccination has caught the adolescents’ attention, it is, therefore, important that interventions tackling teenagers are tailored to reduce their emotional tension about the perception of adverse effects and improve vaccination coverage.
Different Safety Pattern of an Inactivated SARS-CoV-2 Vaccine (CoronaVac®) According to Age Group in a Pediatric Population from 3 to 17 Years Old, in an Open-Label Study in Chile
Authors: Le Corre Nicole , Abarca Katia , Astudillo Patricio , Potin Marcela , López Sofía , Goldsack Macarena , Valenzuela Vania , Schilling Andrea , Gaete Victoria , Rubio Lilian , Calvo Mario , Twele Loreto , González Marcela , Fuentes Daniela , Gutiérrez Valentina , Reyes Felipe , Tapia Lorena I. , Villena Rodolfo , Retamal-Díaz Angello , Cárdenas Antonio , Alarcón-Bustamante Eduardo , Meng Xing , Xin Qianqian , González-Aramundiz José V. , Álvarez-Figueroa María Javiera , González Pablo A. , Bueno Susan M. , Soto Jorge A. ,   on behalf of the PedCoronaVac03CL Study Group, Perret Cecilia , Kalergis Alexis M.
Published: September 2023

During the COVID-19 pandemic, the importance of vaccinating children against SARS-CoV-2 was rapidly established. This study describes the safety of CoronaVac® in children and adolescents between 3- and 17-years-old in a multicenter study in Chile with two vaccine doses in a 4-week interval. For all participants, immediate adverse events (AEs), serious AEs (SAEs), and AEs of special interest (AESIs) were registered throughout the study. In the safety subgroup, AEs were recorded 28 days after each dose. COVID-19 surveillance was performed throughout the study. A total of 1139 individuals received the first and 1102 the second dose of CoronaVac®; 835 were in the safety subgroup. The first dose showed the highest number of AEs: up to 22.2% of participants reported any local and 17.1% systemic AE. AEs were more frequent in adolescents after the first dose, were transient, and mainly mild. Pain at the inoculation site was the most frequent AE for all ages. Fever was the most frequent systemic AE for 3–5 years old and headache in 6–17 years old. No SAEs or AESIs related to vaccination occurred. Most of the COVID-19 cases were mild and managed as outpatients. CoronaVac® was safe and well tolerated in children and adolescents, with different safety patterns according to age.
WEB-BASED SPP PAYMENT INFORMATION SYSTEM WITH MIDTRANS PAYMENT GATEWAY
Authors: Aditya Mulyadi , Sulistyowati Daning Nur
Published: September 2023

ABSTRACT- The tuition payment system at Taufiq Islamic Middle School is still manually using ledger media in transaction activities and data recap. The system still needs to be revised and is prone to errors in calculating incoming payments and reporting payment data. This research was conducted to facilitate the school in the payment management process so that the recording error rate no longer occurs. The system development method used in this study is the Waterfall model and uses the Midtrans payment gateway in the online payment process. The results of this study are in the form of a tuition payment website that can facilitate all parties, both the school and students. This system makes the payment and recording process better and more efficient.
Keywords: information system, waterfall, payment gateway, Midtrans.
IMPLEMENTATION OF DATA MINING MODELS WITH ALGORITHMS K-NEAREST NEIGHBOR IN MONITORING THE NUTRITIONAL STATUS OF CHILDREN AND STUNTING
Authors: - Mutammimul , Fachrurrazi Sayed , Rizal Reyhan Achmad , - Mauliza , - Syarkawi
Published: September 2023

Information systems are needed in the development of children in the developmental period and especially in the world of health. Monitoring of children's nutritional status and stunting is necessary to determine children's weight and meet the criteria for children's nutritional status. Pukesmas Muara Satu, North Aceh District, is an implementing element or assistant to the duties of Poskesdes and Midwives in the Health of children's nutritional status and stunting in Paloh Punti Village, which is one of the agencies under the Ministry of Health. This study aims to monitor the growth and development of children such as measuring weight, height, measured to detect early if unwanted things occur such as malnutrition. The problem in this study is designing and monitoring an Information system for child nutritional status and stunting that is integrated with a web application. The purpose of this study is to find out staff and employees in managing, monitoring and accessing data. So that the data at the puskesmas is recorded in the system, and can quickly determine data on the nutritional status of children and stunting. The results of this study are to be able to find out an information system that is able to reduce problems that occur in managing data on the nutritional status of children and stunting at the Muara Satu Health Center. This system is very important because it can make it easier for staff to record the nutritional status of children and stunting at the Health Center. then the results of the KNN (K-Nearest Neighbor) model classification with the recapitulation of the value of new cases with old cases in the first test section is 0.6944, the second test is 0.6388, the third test is 0.555, the fifth test is 0.6388.
Some Remarks on the Manuscripts of the Collatio Alexandri et Dindimi: Addenda and Corrigenda to Ross’s Check-list of Alexander Texts
Authors: Steinmann Martin
Published: September 2023

The Collatio Alexandri et Dindimi, an apocryphal letter exchange in Latin (early fifth century) between Alexander the Great and Dindimus, king of the Indian brahmins, is transmitted in about 100 manuscripts. After a summary of the contents of this philosophical dispute the present article gives corrections to the data initially provided by D. J. A. Ross for the Collatio manuscripts. Furthermore, 22 newly detected manuscripts are added together with their relevant data for the Collatio.
Jean Mielot und Seine Vie et miracles de saint Josse
Authors: Delarue Dominic
Published: September 2023

The manuscript Brussels, KBR, ms. 10958 once belonged to the library of the Burgundian duke Philip the Good. It assembles texts on the life of saint Judoc which were translated from Latin into French by the cleric Jean Miélot in 1448/ 49. This article surveys the role of the translator in the production of the man uscript, especially his contribution to the pictorial programme at the beginning of the codex. So Jean Miélot can be identified as one of two scribes and as the inventor of the manuscript’s abundant picture cycle. The close relationship in iconographies and pictorial motifs to the minute of his translation of the Speculum humanae salvationis (Brussels, KBR, ms. 9249-50) is of vital importance for the argument put forward.
The Impact of COVID-19 on e-Commerce Through a Systematic Review
Authors: Khumalo Sithembiso , Mlotshwa Mduduzi Mlotshwa , Khumalo Zanokuhle Khumalo , Raphalo Omphile Raphalo
Published: September 2023

The novel coronavirus (COVID-19) has changed the world in a catastrophic way. The impact of COVID-19 brought in regulative measures such lockdown and human movement restrictive regulations; safety precautions needed to be put in place to help people stay safe from the virus infection. Some of the regulation included limiting traveling and implementing lockdown. The business sector was heavily affected and needed a solution immediately. The supply chain needed to continue to function hence the application of e-commerce was the most lucrative opportunity. The purpose of this study was to determine the impact of COVID-19 on e-commerce, both the negative and positive impacts were considered for this study. The suitable and utilised research approach for this study was the systematic review known as the PRISMA Protocol (PRISMA-P). Qualitative research method was chosen for this research paper, using search strings on the Emerald database to collect data. 50 Journal articles from the Emerald Insight database search were identified, these articles were further screened by analysing the title and abstract of the articles to assess their eligibility to be included in the study final analysis. After the eligibility criteria and exclusion process, 4 article were fully assessed and included in the study. This process of exclusion was done through the Mendeley website and the captured in the PRISMA flow diagram. The research findings indicate a correlation between the proliferation of the COVID-19 pandemic and the profitability of businesses conducting online transactions. Findings further indicate that COVID-19 improved digitisation, online shopping, and sales. In conclusion, this study has shown ways in which the e-commerce industry benefited from Covid-19, highlighting on the increase in sales and the use of digital platforms. Also, the novel coronavirus led to the increased digitisation of business processes and services.
Understanding Social Responsibility in Portuguese Companies: Characteristics, Innovations, and Stakeholder Perspectives
Authors: Dieguez Teresa , Ferreira Isabel , Loureiro Paulo
Published: September 2023

Social responsibility has emerged as a crucial topic in the corporate landscape, recognized by market perception as a valuable asset for gaining a competitive advantage. This voluntary initiative by companies is driven by social and ethical engagement, leading management to seek shared values and positive interactions with stakeholders. This study aims to identify the characteristics of companies adopting social practices and evaluate innovative social responsibility practices in Portuguese companies. Furthermore, it explores the understanding of social responsibility among companies and stakeholders, examines motivations behind employing these practices, analyses the benefits of their inclusion, and identifies the main challenges hindering their implementation. Data were collected through questionnaires administered via the Google Forms platform. The findings reveal that most respondents consider social responsibility relevant to the company's growth and development, placing emphasis on human capital as a vital organizational asset. Motivations primarily revolve around worker welfare and satisfaction. Key benefits include proactive positioning, strategic integration, and decision-making incorporating social concerns. Major obstacles include the absence of direct profitability, resistance from older employees, limited resources and time for action and innovation, lack of participation, employee mistrust, and inert mindsets. The article concludes by discussing limitations and suggesting avenues for future research
Intelligent Organization Through the Lenses of Entrepreneurship and Project Management Approaches
Authors: Kordel Piotr , Fernandes Gabriela
Published: September 2023

The main research question of the paper is what is the concept of an intelligent organization as a critical area in the field of building modern socio-technological concept of organization with resiliency as its central feature. The research method is systematic literature review in the field of management and intelligent organization concept discussion in the light of entrepreneurship and project management research streams. The outcome of the research is the cybernetic and network based theoretical concept of intelligent organization. According to approach taken in the paper intelligent organization is revealing as the result of paradoxical process of effectuation and causation synthesis.
A Tale of Two: How Network Agency Influences Network Creation for Start-ups
Authors: Kwazu Chiamaka
Published: September 2023

There is an existing consensus that networks positively impact start-ups. New ventures gain access to market information, funding, emotional support and improved legitimacy from networking. However, existing efforts at articulating network creation and impact on new ventures are skewed due to a strong focus on structural properties. Although these properties contribute to understanding network creation and impact, they often ignore the individual who is either a network beneficiary or broker. This study examines the role of the network actor’s agency in entrepreneurial network creation. Understanding agency is critical for explaining how individuals make sense of network opportunities available within their context. Network agency reveals how entrepreneurial networks are created, what influences actor motives and behaviour, and the brokerage methods adopted to meet these motives. This study explores network agency in two contexts: the interventionist incubator context and the location-induced cluster context. The Lagos Technology Ecosystem comprised of different incubator models and cluster is examined. 31 semi-structured interviews with start-ups from both contexts were conducted to get a nuanced view of how the context influences entrepreneurs' network agency. This paper reveals that network motives like personality, reciprocity, and legitimacy as the main motives for tenant firms to engage in network activities. Conversely, cluster firms listed trust, and the need to access knowledge, information and opportunity as key reasons for engaging in network action. In both contexts, direct and indirect brokerage is utilised to meet the motives triggered. However, the dynamics and nature of these brokerage methods are different across the two contexts. Tenant firms demonstrate a tertius Iugnes behaviour, while cluster firms demonstrate separation behaviour.
Transforming the Network of Co-working Spaces for Start-ups into an Open Knowledge Ecosystem
Authors: Jucevicius Giedrius , Grazelyte Jurgita
Published: September 2023

The paper focuses on the issues of transforming the geographically spread co-working spaces of start-up firms into the open knowledge ecosystems, i.e. hubs of growth-focused organizations characterised by sharing and generating new industrial knowledge. The presented insights are based on the combination of theoretical review and empirical survey of 92 managers of start-ups and SMEs in Lithuania. This is an emergent community of regional start-up firms with rudimentary linkages and elements of knowledge sharing. The paper looks into the key issues that could contribute to strengthening the knowledge-based collaborations and synergies in such community, while assessing both the current situation and the evolutionary potential of such collaborations. We present the critical discussion in the light of ecosystem-as-structure vs. ecosystem-as-affiliation (Adner, 2017) approaches. Ecosystem-as-affiliation approach stresses the affiliation of ecosystem actors (to the network or focal actor), while ecosystem-as-structure views ecosystem through the lense of value proposition that network actors are co-creating. The first view has a more open-ended network perspective where spontaneous collaborations may lead to different outcomes and the network welcome different members with no prior objective in sight. The second view is more focused on aligning the resources and activities of multilateral set of partners for materialising specific value propositions, and members are invited to join based on these specific needs. The research has shown that, on one hand, the emergent start-up community relies on institutional coordination while retaining the element of openness. On the other hand, there is an explicit need for leadership in building the shared vision and designing the knowledge partnerships for delivering the shared value propositions. One should stress the importance of focal organizations and boundary spanners - both in terms of the organizational and knowledge boundaries. The shared business interests, network leadership and trust have been identified as the key cornerstones for further development of network into an open knowledge ecosystem, yet they are also associated with the greatest challenges to sustained knowledge sharing in the network.
Startup Competitions Decoded: Unpacking the Phenomenon's Dimensions
Authors: Elmi Malek , Bertella Giovanna , Castriotta Manuel
Published: September 2023

Drawing on a typological theorizing style (Cornelissen, 2017), this paper investigates and deconstructs the fuzzy nature of startup competitions (Cornelissen, Höllerer and Seidl, 2021). Despite the pivotal role that startup competitions play in promoting innovation and shaping policies related to business creation and welfare there exists a scarcity of comprehensive research that thoroughly investigates the organizational architecture and overall effects of these contests on entrepreneurial ecosystems’ actors. Furthermore, the presence of conceptual fragmentation necessitates a process of synthesis to prevent the dispersion of scientific efforts and to enhance understanding of the essence and constituents of the phenomenon (Ferreira, Fernandes and Ratten, 2016; Howard and Crayne, 2019; Law, Wong and Mobley, 1998). The methodology utilized in this study is a validated approach that combines a systematic literature review with subsequent inductive analysis of the selected articles (Thomas and Tee, 2022). This article makes two distinct contributions to the existing body of literature. First, this study contributes to the startup competitions and entrepreneurship literature by providing a typological theoretical framework that examines the conceptual dimensions of this phenomenon. Additionally, this research seeks to identify the key actors involved in these competitions and emphasize the potential of utilizing such events as intervention tools at micro and macro-organizational levels. Furthermore, this study makes a valuable contribution to the existing body of literature that examines the intersection of entrepreneurship and organizational studies. This study presents a theoretical framework that focuses on the unique characteristics of organizational actors involved. It illustrates the potential design of multiple SUCs architectures based on the objectives and deliberate impacts that these actors aim to achieve. From the perspective of managerial implications, this work provides fuel for thought and a practical instrument for all organizations that intend to conduct a startup competition on purpose. This paper functions as an in-depth guide for all relevant stakeholders, including organizers, participants, accelerators, incubators, and other involved actors. This phenomenon illustrates how each actor is prompted to take action upon acquiring a specific scope.
The Potential Utilisation of Artificial Intelligence (AI) in Enterprises
Authors: Leddy Marie , McCreanor Niall
Published: September 2023

Artificial Intelligence (AI) is a part of computer science that aims to create and develop intelligent machines. For AI to function and perform, it involves the development of algorithms and models that enable computers to learn from the data, identify patterns, and make predictions. Research indicates that AI can increase private industry output, decision-making, and effectiveness. AI can analyse vast amounts of data quickly and precisely, as well as identify patterns and trends (Marr, 2018). This makes AI well-suited for occupations requiring data processing and analysis, such as data entry, analysis, and customer service (Sharma, 2019). AI can also be used to automate processes and tasks (Sharma, 2019). Research implies that AI will impact jobs (WEF, 2018). This may involve providing individuals with training to improve their skills and knowledge to prepare them for occupations involving AI technology, as well as developing regulations and processes to ensure that AI is utilised in a fair, transparent, and accountable manner (WEF, 2018). An evaluation of AI's limitations and to ensure forecasting data is accurate and trustworthy (Marr, 2018). It is also crucial to consider the possibility of bias in AI systems and adopt precautions (WEF, 2018). Furthermore, AI offers many benefits but also presents problems, including the prospect of job loss, the likelihood of bias in AI algorithms, privacy, security, and ethical concerns (WEF, 2018).  By identifying how enterprises are utilising AI, what is the impact of implementing AI in enterprise operations, how does it affect the efficiency, productivity, and overall performance of the business. This exploratory research begins with an insight into understanding AI, addresses how AI has been utilised and implemented into businesses, the ethical and societal considerations, and potential benefits and challenges businesses may confront. Ten interviews with leading industry experts using AI, followed by focus groups, have generated information. opinions, and key insights. By utilising the software Nvivo this quantitative research presents key themes and content findings to assist in educating enterprise personnel during AI decision-making and implementation stages.
Social Entrepreneurship and Innovation in Low-Density Territories: The i3Social Project
Authors: Salgado Manuel , Daniel Ana , Braga Ascensão , Copeto João , Tracana Rosa Branca , Castro Cristina , Roque Vitor
Published: September 2023

The last decade has seen a significant increase in economic and social inequalities, especially in Portugal's inland territories. As a consequence, the increase in social needs is increasingly evident in low-density territories. In this sense, social entrepreneurs have an important role in society, to the extent that, by having more direct contact with their surroundings, they are also more alert to identify needs, which until then have not had the necessary response from public policies. Thus, social entrepreneurship, allied with innovation, can serve as a "tool" to meet social needs, as well as help combat depopulation. Thus, this work shows the social entrepreneurship activities developed within the i3Social project, which aims to clarify the aspects and dynamics of social entrepreneurship to create social businesses. In this sense, this work also seeks to give an overview of what social entrepreneurship involves, i.e., in practical terms, to show that there is a path that should and must be followed for the business idea to become effective and successful in the social intervention market.
A Value Proposition Analysis of Emerging Circular Economy Business Models in the WEEE Sector
Authors: Woldeyes Tirufat Dejene , Muffatto Moreno , Ferrati Francesco
Published: September 2023

Due to the rapid economic growth, growing demand for high-tech products, and decreasing service life of products, global waste generation from the electrical and electronic equipment sector is increasing. From the environmental and economic perspective, the circular economy (CE) emphasizes e-waste prevention as it is one of the fastest-growing waste streams having both valuable and rare materials as well as toxic substances. It is common to manage electrical products at their end-of-life through circular practices however, knowledge and implementation of CE in the waste electrical and electronic equipment (WEEE) sector still need to be improved. End-of-life practices center on recycling, and the percentage of valuable resources recovered is low. There is a missing insight into the business opportunities for alternative end-of-life options such as reusing, repairing, and re-manufacturing that hold stakeholders from implementing circular strategies. To fill the gaps identified, we developed a research question for investigating and analyzing the services offered and the electrical products adaptable to CE business models (CEBMs) of young companies operating in the WEEE. This study aims to explore the business models (BMs) of circular practice-based business options such as buyers and sellers of used and refurbished electronic devices, information technology asset dispositions (ITADs) companies, and e-waste recyclers to enhance other researchers with a better understanding of business options toward end-of-life e-waste handling and emerging issues in this industry. We conduct a literature review on CEBMs in the WEEE and conduct a multiple-case analysis of 412 emerging circular companies in the WEEE selected from the Crunchbase database to explore their BMs. Key findings show that most young WEEE companies focus on IT and telecom equipment and consumer electronics. Emerging WEEE companies mostly involve asset management and e-waste Recycling service, followed by ITAD services, trade-in/buyback, and reselling of preowned and refurbished electrical devices service, and e-waste collection, recycling, and disposal service. These companies provide unique offerings such as information security, compliance, trustworthiness, convenience, quality, social responsibility, and charitable purpose. Studies in the future may explore other dimensions of these BMs to gain a comprehensive picture and support the design of CEBMs.
Corporate Effectuation in the Digital Age: the Role of Absorptive Capacity and Digital Skills
Authors: D'Angelo Stefano , Ghezzi Antonio , Cavallo Angelo , Rangone Andrea , Marchetti Luca
Published: September 2023

Effectuation has become a highly influential decision-making logic for entrepreneurs. While most studies have viewed effectuation as an approach to managing resource constraints in the new venture context, few of them have directly investigated the effects of effectuation as an approach to absorptive capacity (AC) in the corporate context. Specifically, the relationship between the usage of an effectual logic and its impact on the knowledge of individuals remains underexplored in corporate entrepreneurship (CE), i.e., entrepreneurship in incumbent organisations. Moreover, in a digital world characterised by the growing proliferation of digital technologies, digital skills can support the learning and knowledge absorption process of individuals in incumbent organisations facilitating the development of corporate innovation. By using the survey data from employees of an incumbent firm, we test hypotheses developed to examine the relationship between effectuation and entrepreneurial orientation (EO) as well as the mediating role of AC and the moderator role of digital skills in this relationship. The empirical results generally support our hypotheses by showing that (i) effectuation positively influences AC, and (ii) digital skills have a positive moderating effect on the relationship between effectuation and AC. No significant results emerged concerning hypothesis (iii) AC mediates the relationship between effectuation and EO. Drawing upon the findings of this study, we reframe effectuation as a concrete activity that enhances knowledge absorption and enlarges the scope of opportunities, and in turn fosters entrepreneurial actions in organisations. In doing so, we advance the extant understanding of corporate effectuation in the digital era, providing also managerial implications.
Patterns of Successful Founding Team Composition and Funding Outcomes
Authors: Ferrati Francesco , Kim Phillip , Muffatto Moreno
Published: September 2023

When it comes to assessing a startup’s chance of success, equity investors apply a specific set of criteria to minimize risk. In their decision-making process, most venture capitalists (VCs) agree with giving priority to the team composition, hence the popular saying: “Always consider investing in a grade-A team with a grade-B idea. Never invest in a grade-B team with a grade-A idea.” In this paper, we explore the profile of technology-based startup teams that are most likely to secure a Series-A funding round from VCs. From a methodological point of view, we applied a strongly quantitative approach, integrating several data mining techniques according to a multidisciplinary perspective, between data science and entrepreneurship. As for the company information, we used Crunchbase as our primary source, considering a set of U.S.-based startups founded from 2000 to 2017. For each venture we algorithmically integrated team-related information from the founders’ public LinkedIn profiles. Overall, we analysed more than 2,100 teams, involving a total of about 4,600 founders. Each founders’ experience was analysed by considering their professional background. Overall, more than 29,000 work experiences have been taken into consideration. Statistical analysis was carried out on both individual founders and their team organization. Both founders and teams were evaluated in terms of heterogeneity of prior experience and similarity of co-founder profiles using the Gini coefficient and Jaccard index, respectively. Statistics are expressed according to the companies’ sector and their fundraising profile. In fact, the different sectors are mapped on a 4-quadrant chart to identify different combinations between founders’ profiles (specialists VS generalists) and teams characteristics (combining co-founder with similar or diverse background). Results reveal the impact of team similarity and variety in terms of prior working experience. The findings provide valuable insights for scholars dealing with tech-driven startups teams, aspiring entrepreneurs looking for co-founders and for VCs seeking to invest in promising startups.
Advancing Sustainable-Smart Innovations Through a Transdisciplinary Learning Intervention: Insights From The Quintuple Helix Model
Authors: Van den Berg Carolien , Verster Belinda
Published: September 2023

The urgent need to shape the future of societies necessitates complex collaborative partnerships that co-create sustainable solutions. This whilst maintaining a balance between ecological, economic, and sociocultural concerns. The aforementioned creates complexity, calling for a transdisciplinary focus to circumvent the narrow lenses of disciplinary boundaries to develop new systems for educating young professionals. Within this context, we explore how a transdisciplinary learning intervention can result in sustainable-smart innovations that address real-world community challenges. To engage this question, we draw on findings from a longitudinal Design-Based Research (DBR) study that commenced in February 2020. Two iterations of this study have been completed and the third iteration commenced in 2023. Data is drawn from student project artefacts and reflections. This study utilises the potential of transdisciplinary student projects, between urban planning and information system students, and other stakeholders, to develop sustainable-smart innovations. It focuses on community challenges related to SDG 11 as experienced by marginalised township communities in Cape Town, South Africa. The study is founded on key concepts: Education for Sustainable Development, Transdisciplinary, Digital Social Innovations, Society 5.0,  and Inclusive collaborative partnerships. These concepts allow the interrogation of the complexities that reside in wicked problems related to the localisation of SDGs. The introduction of the quintuple helix model during the project's third iteration to analyse the wider contribution from different stakeholders and the shift to Mode 3 knowledge application in innovation is of special value. This model lends itself to transdisciplinary methodologies specifically to merge many voices toward sustainable-smart innovations. The co-creation of sustainable-smart innovations involves unifying various stakeholders from academia, industry, government and the community, to jointly develop and implement sustainable and technology-enabled solutions. The contribution of this paper lies in the expansion of discourse on innovations for sustainability through our engagement with the quintuple helix model in a transdisciplinary learning intervention.
Socioscientific Issues Approach on Entrepreneurial Science Thinking among Fifth Graders: Socioscientific Issues Approach on Entrepreneurial Science Thinking
Authors: Siew Nyet Moi
Published: September 2023

This research was conducted to examine the effects of the socioscientific issue approach (SSI) with thinking wheel map (TM) on entrepreneurial science thinking (EST) and the constructs of Observation, New Ideas, Innovation, Creativity, and Value. A teaching and learning (TL) module was developed to guide teachers in implementing the infusion of SSI with TM TL approach on EST among fifth graders. A quasi-experimental quantitative research was conducted on 345 fifth graders in urban primary schools in Malaysia. A total of three TL groups were assigned randomly; namely, i) SSI-TM approach (n=115), ii) SSI (n=115) and iii) Conventional approach (CONV, n=115). The Entrepreneurial Science Thinking Test Instrument (ESTT) was developed to measure the level of entrepreneurial science thinking. Data analysis was performed using MANCOVA, ANCOVA, and Effect Size. The results of the MANCOVA analysis showed a significant effect across the three groups of TL approach for EST. Meanwhile, the ANCOVA analysis results showed a significant effect of the SSI-TM TL approach compared to SSI and CONV on EST and in all constructs of EST. The SSI-TM TL approach showed a higher post-test mean score than the SSI, and then the SSI post-test mean score was significantly higher than the CONV in all constructs studied except the Observation. The findings prove that the SSI-TM TL approach positively impacts the cultivation of EST among fifth graders.
Technology Complexity and Firm Performance: The Moderating Effect of Design Innovation
Authors: Hur Jisoo , Kim Kyeungoui
Published: September 2023

In today’s highly competitive markets, firms can no longer ensure competitive advantage through the development of highly complex technologies or differentiation based solely on technological and functional factors. Simultaneously, there is growing recognition that design and aesthetic factors can contribute to firms’ competitive advantage and profitability. Hence, this study examines the effects of design innovation, captured by formal design registration, on firms’ financial performance. We investigated the relationship between technology complexity, design innovation, and firm performance to unveil design innovation’s role in exploiting complex technologies. Our main hypothesis is that design innovation positively moderates the negative effect that technology complexity yields on firm performance. We used a unique dataset that aggregates all patent data published by US-headquartered publicly-traded firms to the parent company level. We combined this with firms’ financial information and design patent data from the Computat and PATSTAT databases based on their matching firm identifier. Focusing on 1,765 US firms from 1980 to 2015, we calculated firm-level technology complexity based on the structural diversity of technologies. The results confirmed our hypotheses. This study contributes to firms’ resource-based view by recognizing design as a strategic resource that firms can utilize to gain a competitive advantage and by discovering design innovation’s role in generating economic profits.
Representations of Entrepreneurship in Local Media: A Comparative Analysis
Authors: Rinkinen Satu , Konsti-Laakso Suvi
Published: September 2023

Entrepreneurial culture is a key element of the success of entrepreneurial ecosystems. Previous studies have shown that regional levels of entrepreneurial activity tend to remain persistent over long periods of time and that cultural attitudes in favour of entrepreneurship and rooted in the history of the region can influence innovation activity and new business formation today. Prior research has studied the entrepreneurial culture investigating individuals’ perceptions, attitudes, values, and entrepreneurial personality fit. However, such approaches fail to address the importance of social representations of entrepreneurship as a part of entrepreneurial culture. The aim of this study is to increase understanding about the local entrepreneurial culture within entrepreneurial ecosystems by analysing local media representations of entrepreneurship as indications of local entrepreneurial cultures in the entrepreneurial ecosystem context. The research was carried out as a comparative study of two Finnish regions: Päijät-Häme and South Karelia. The primary research data consists of 120 newspaper articles from regional daily newspapers. The results suggest that in the studied regions local media particularly helps transmit entrepreneurial success stories as an ecosystem service. Also, narratives of entrepreneurial ambition, innovativeness and risk acceptance were transmitted to the local audiences. Some regional differences were also detected, which might reflect the different historical backgrounds and regional levels of entrepreneurial activity. This paper presents the preliminary results of the study which are of value for both ecosystem actors and policymakers designing initiatives to strengthen the local entrepreneurial culture and public discourse promoting entrepreneurship.
Navigating the New Product Development Process: A Case Study of a Startup’s Journey from Ideation to Commercializatio
Authors: Mendez Andrine , Johnston Kate , McCardle Maeve
Published: September 2023

New Product Development (NPD) is a critical yet challenging aspect of business development, with failure rates ranging from 40% to 80%. This challenge is particularly pronounced in startups, which form the backbone of most developed economies. Despite their importance, startups often struggle with NPD, with some studies suggesting a failure rate as high as 90%. This research paper contributes to the existing literature by examining the NPD journey of a technology startup, Plugable. Plugable, an Irish enterprise in the mobility sector, aims to create a platform similar to Airbnb for private Electrical Vehicle (EV) chargers. The paper traces the journey of two products the company attempted to launch. The first product did not reach the launch stage, leading the business to revise its strategy and develop Plugable. At the time of writing, Plugable is at the prototype stage, having secured €50,000 in external funding and won several national business awards. The case study provides several key learnings for entrepreneurs in the NPD space. It underscores the importance of accurately defining the problem statement, the critical role of validation, and the significance of assembling the right team to develop an effective go-to-market strategy. These findings contribute to the emerging body of knowledge on NPD within the startup context, providing practical insights into the application of established NPD models. Furthermore, the study offers valuable insights into technology startups' unique challenges during the NPD process.
Barriers, Challenges, and Benefits: Gender Diversity in Technology-Based New Venture Team Innovation
Authors: Yalina Nita , Graham Gary , Ghobadi Shahla
Published: September 2023

This paper introduces the early phase of research designed to unpack the phenomenon of gender diversity intechnology new venture teams including its barriers, potential benefits, and challenges. We present some preliminary casestudy findings from 13 interviews with team members from three technology new ventures in Indonesia. This researchsetting allows us to investigate a unique cultural context in a developing country. The present study addresses a significantresearch gap by elucidating various viewpoints of new ventures towards gender diversity within the same institutionalcontext, thereby enabling a nuanced understanding of their ability to leverage the potential benefits of gender-diverse teamsfor innovation. Specifically, our findings reveal that new ventures have different abilities to navigate the barriers andchallenges associated with gender diversity. This study identified three distinct barriers, namely the acquisition of genderbalancedapplicants, the mitigation of gender-specific bias, and the effective management of dynamics team composition.In addition to the potential benefits of having a gender-diverse team, such as enhanced collaboration, balanced thinking,and inter-group competition, our research has identified three significant challenges. These include the need to overcomecultural and social norms that hinder gender diversity, effectively managing diversity management practices, and improvingemployee engagement and a sense of belonging. The initial results of our study offer some practical and theoreticalimplications for enhancing the potential of new ventures to leverage the advantages of gender-diverse teams to promoteinnovation. These we aim to study further as the doctoral investigation advances further through more extensive case studyanalysis.
ALGORITMO DE BUSCA DISPERSA PARA RESOLUÇÃO DE PROBLEMAS DE OTIMIZAÇÃO DISCRETOS E CONTÍNUOS
Authors: MENDES GARCIA ANDRÉ
Published: September 2023

Optimization problems are very complex to be solved, as they can present multiple optimal solutions and, in certain cases, only a globally optimal solution. The mathematical formulation of these problems is composed of continuous and discrete variables with linear and nonlinear functions. The solution of these problems by mathematical modeling through solvers may not converge to a feasible solution or may demand much computational time, when many variables are considered. Thus, using metaheuristics to solve these problems is desirable according to the literature. The scatter search (SS) metaheuristic algorithm has been highlighted in the literature as an excellent combinatorial optimization algorithm for dealing with quality and diversity solutions. This work aims to present two methods using the SS algorithm to solve problems with continuous and discrete variables. Therefore, the SS algorithm is implemented to solve the traveling salesperson problem (TSP), which is a problem that contains only discrete variables, and also, another version of SS is implemented to solve the optimal power flow (OPF) problem, which has continuous and discrete variables. Two instances of the TSP and three instances of the OPF problem were used. The results show that the SS solves both problems efficiently and presents better results in some cases than the solutions of the same problems using classical mathematical models through solvers. It is concluded that implementing the SS algorithm does not require much effort and that good results can be achieved for solving optimization problems with variables of any nature.
ANALISA PEMBOROSAN BAHAN BAKAR MINYAK AKIBAT KEMACETAN PADA RUAS JALAN DI KOTA MATARAM (STUDI KASUS JALAN DR. WAHIDIN REMBIGA KOTA MATARAM)
Authors: PURNATA I NENGAH AGUS , MAHENDRA MADE , KARYAWAN I DEWA MADE ALIT
Published: September 2023

The increase in the population of Mataram City resulted in an increase in traffic volume, due to the increase in the use of private vehicles for various community activities. This is the cause of traffic problems, especially congestion on several road sections, one of which is the Rembiga Road Section. Congestion causes losses to road users, judging from the use of vehicle fuel oil. In connection with this problem, research was conducted with the aim of finding out how much waste of fuel oil caused by congestion. Analysis of vehicle fuel oil consumption using PdT-15-2005-B Highways guidelines and analysis of vehicle fuel oil waste by determining the difference in the value of fuel oil consumption, congestion current conditions and free flow conditions. From the results of the analysis, it was found that the value of fuel oil waste on Monday 341 lt / km / day with fuel costs of Rp. 3,242,056.00 / km / day, Saturday 240 lt / km / day (Rp. 2,294,864.00 / km / day) and Sunday 135 lt / km / day (Rp. 1,296,993.00 / km / day). On Monday there is a high waste of fuel oil due to rush hour heavy traffic volume and high level of side obstacles, so travel time increases due to low vehicle speed.
Construction of reliable albedo time series
Authors: Jääskeläinen Emmihenna
Published: September 2023

A reliable satellite-based black-sky albedo time series is a crucial part of detecting changes in the climate. This thesis studies the solutions to several uncertainties impairing the quality of the black-sky albedo time series. These solutions include creating a long dynamic aerosol optical depth time series for enhancing the removal of atmospheric effects, a method to fill missing data to improve spatial and temporal coverage, and creating a function to correctly model the diurnal variation of melting snow albedo. Mathematical methods are the center pieces of the solutions found in this thesis. Creating a melting snow albedo function and the construction of an aerosol optical depth time series lean on a linear regression approach, whereas the process to fill missing values is based on gradient boosting, a machine learning method that is in turn based on decision trees. These methods reflect the basic nature of these problems as well as the need to take into account the large amounts of satellite-based data and computational resources available.
Možnosti a limity radiouhlíkového datování se zaměřením na netypické archeologické vzorky
Authors: Bíšková Jarmila , Brychová Veronika , Demján Peter , Dreslerová Dagmar , Frank Danielisová Alžběta , Hošková Kristýna , John David , Koštová Nikola , Limburský Petr , Molnár Mihály , Moravcová Alice , Pachnerová Brabcová Kateřina , Petrová Markéta , Světlík Ivo , Šneberger Jiří , Tecl Josef , Valášek Vojtěch
Published: September 2023

Radiouhlíkové datování je etablovanou metodou, která pomáhá určit absolutní stáří archeologických nálezů. Tento tematický přehled prezentuje základní principy radiouhlíkové metody, předpoklady pro výběr vzorků z archeologických situací, způsob zacházení se vzorky před zasláním do radiouhlíkové laboratoře, laboratorní postupy úpravy vzorků, průběh AMS měření a kalibraci výsledků. Dále jsou vysvětleny faktory, které omezují výsledky radiouhlíkového datování, zejména radiouhlíková plata a rezervoárový efekt, a jak lze jejich vliv rozpoznat a případně eliminovat. Hlavním cílem článku je kriticky zhodnonit aplikaci radiouhlíkové metody na méně obvyklé archeologické vzorky (lipidy uchované v pórech keramiky, spálené kosti, zubní kámen, železné předměty a železné strusky, malta, pylové a fytolitové koncentráty vyextrahované ze sedimentů či půd), jejichž datace otevírá nové možnosti pro chronologické ukotvení přírodních i kulturních procesů a událostí v minulosti.