Smart Software Research Articles

Crowdsourcing as an Open Innovation Strategy in Knowledge-Based Smart City Management

A smart city is defined as an area that offers numerous opportunities for learning and innovation, relies on the creative potential of its inhabitants and institutions, and employs digital infrastructure for communicating and managing knowledge. An important related research direction to be considered is knowledge management for smart cities and urban innovation. The idea in this area is to collect and share knowledge in order to arrive at a collaborative approach towards the development of future urban environments. Open innovation is a new paradigm for building smart cities, where governments and software developers take advantage of the experience, skills, and knowledge of citizens to develop digital services that are relevant to users of the urban environment. Citizen involvement is a key to the successful development of cities, but empirical research into the nature and characteristics of this involvement remains scarce. The objective of this study is to explore the potential of open innovation strategies in knowledge-based smart city management and the role of the municipality herein. A limited set of crowdsourcing initiatives has been introduced to illustrate the open innovation strategies. This paper will tackle a part of this problem by adding to the understanding of generating, evaluating and selecting innovative ideas for smart city innovation by means of online crowdsourcing. The case studies research presented in this paper generates some empirical evidence with regards to the usage of crowdsourcing through an online platform in the context of trying to establish a smarter city. The study offers recommendations arising from the empirical research. An improved approach should consider citizens as active actors within the development process of smart cities. Citizens can collaborate in co-creating smart cities together with the private sector, governments, academia and knowledge institutes. One important element however still needs to be researched more in depth is user motivation. It remains an interesting research topic for future studies to investigate the optimal motivation for citizens in order to get them to share their knowledge.

Evaluation of modern technology on human resources management and sustainable development in Pharma industries

The essential purpose of this research study is to determine the impact of modern technology on human resources management and sustainable development in pharma industries. This research study is based on primary data analysis for measuring data to develop different questions related to modern technology and human resource management also sustainability development in pharma industries. To determine the research data used, smart PLS software generates different results such as smart PLS Algorithm, R square, F square, the discriminant validity, reliability, and presents the total effect between independent and dependent indicators. According to the overall research study, modern technology includes custom software development, virtual reality, and augmented reality. These are all considered independent variables. Human resource management is the main dependent variable. It includes training management, organizational change management, and performance management; these are sub-parts of dependent variables. Sustainable development is another dependent variable its presents the effect of modern technology. According to the overall research study, the result found that human resource management shows a positive and significant effect with modern technology. Virtual reality and augmented reality are directly related to human resource management and organizational performance.

Research on the application of information technology in the pharmaceutical sector

The basic purpose of this research study determines the research on the application of information technology in pharmaceutical sectors. This research study was conducted in the US pharmaceutical sectors. The research study is based on primary data analysis; these data were collected from different pharmaceutical sectors. Information technology is an independent variable, and pharmaceutical sectors, including organization performance, industrial innovation and production, and supply chain management, are all considered dependent variables. The research study used smart PLS software and presented different results, including composite reliability, validity analysis, R square values, indicators correlations, significant analysis, and the smart PLS Algorithm model. Overall results found that information technology plays a vital role in the pharmaceutical sector and presents that significant analysis with each other. In addition, the organization's performance shows a positive and significant relationship. Supply chain management also directly relates to industrial innovation, and production significantly affects industrial sectors.

A portable NIR system for nondestructive assessment of SSC and firmness of Nanguo pears

An accurate, nondestructive, and low-cost measurement system was developed using a portable near-infrared (NIR) spectrometer (DLP NIRscan Nano), a Raspberry Pi board, a display, a lithium battery, and a self-made three-dimensional printed shell. NIR data were collected through two measurement modes (column and Hadamard transform) based on digital light processing. With this equipment, detection models of soluble solid content (SSC) and firmness, essential quality indicators of the fruit, were established via quantitative analysis using chemometrics and a hybrid wavelength selection strategy. The SSC and firmness prediction model established through the combination of the synergy interval partial least squares and genetic algorithm (Si-GA-PLS) showed higher prediction accuracy, with coefficient of determination of prediction (RP2) values of 0.9406 and 0.9119, respectively, and root-mean-square error of prediction (RMSEP) values of 0.1655 and 5.5003, respectively. A comparison of the model performance of different monochromator principles was also explored; they were found to be non-statistically significant differences from one another. Finally, data fusion was used to improve prediction ability. The results obtained by mid-level data fusion presented a better performance than using models based on one technique. Overall, the developed novel handheld detector exhibits potential for smart software applications with high accuracy.

Training satisfaction relative to turnover intention: the mediating role of employee loyalty

PurposeThe purpose of this study is to focus on Turnover intention (TI) which is gaining significance in the Jordanian government sector as well as in many other international institutions. Organizations tend to seek valuable benefits from the human resource capital they have to achieve their competitive advantages. However, TI becomes a global issue as well as in Jordanian public context. The research framework of this study is based on the satisfaction and social psychological literature.Design/methodology/approachBy applying the convenience sampling method, data were collected through an online questionnaire; 354 respondents from the governmental sector participated in this study. Data were analyzed using the statistical software Smart PLS.FindingsResults revealed that mind wandering (MW) has a negative impact on training satisfaction (TS) while trainer efficacy (TE) has a positive impact on TS. Meanwhile, work–life conflict (WLC) was not significantly related to TS. TS has a negative impact on TI and a positive impact on employee loyalty (EL). However, EL has a negative impact on TI, and, at the same time, it mediates the relationship between TS and TI. Moreover, the study demonstrates sequential mediation for TI.Originality/valueThe research adds to the body of knowledge by testing a new framework. Moreover, it introduces sequential mediation for TI.

Leadership style, Environmental Factors, and Job Satisfaction as Correlates to Headmaster Performance in Selected High Schools in Jakarta

The performance of educational institutions is closely linked to the effectiveness of the headmasters’ performance. Thus, this study aims to analyse the direct or indirect influence of leadership style, environmental factors and job satisfaction on the performance of the high school heads in Jakarta. With a research sample of 240 teachers, this study examined the teachers’ perception on the variables studied. The study used path analysis with partial smart software at the square minimum. All tested data can be considered with r > 0.70. The result of the analysis showed direct influence of leadership style and environmental factors on job satisfaction, style of leadership, environmental factors and job satisfaction in relation to the performance of school leaders, the influence of leadership style through job satisfaction on the performance of school leaders indirectly and the outcome of environmental factors through job satisfaction on the performance of school leaders indirectly. Environmental factors at the site of learning activities during the pandemic require improvements for teachers and students.

Smart Software: The Real Force of Smart Things

Software is one of the most useful tools in today's world. A large number of activities are done by means of software, so if the software developed is to be a reliable facilitator, it must be as good as possible. Quality has been the differentiating factor of good software, although in recent years, the need to assure the sustainability of the software has proved to be an additional component to quality. However, over the last years, we have witnessed the incorporation of the “smart” concept into many technological elements. In this article, we reflect on the fact that most of the things classified as smart have software behind them, a consideration which in turn made us ponder that it may be the software that endows them with this smartness. From this hypothesis, we have produced a definition of what smart software should be.

Disruptive innovation: Designing business platforms for new financial services

Business platform models often achieve industry disruption through the elimination of barriers such as time and space by implementing smart and sophisticated software that captures, analyzes, and exchanges huge volumes of data. Central to business platforms is their online participative infrastructure that facilitates interaction between many external producers and consumers where the exchange of goods, services or social currency enables value creation for all involved. This study adopts an exploratory approach to improve existing understanding about the strategies that financial platforms implement. In addition, we explore what incumbents are doing to ‘survive’ and if the measures they are taking are sufficient to achieve survival. Further, we examine whether customer-focused strategies, such as Experience-Based Offerings (EBOs), provide the best solution for financial service firms to gain competitive advantage. The findings show that strategies can be implemented successfully by integrating technology to improve, personalize, and customize customer experiences, while managers and employees can add quality to experiences. This study contributes to our understanding of business platforms by identifying how they are designed and managed, and how incumbents can learn from them to respond to the challenges presented by today’s rapidly changing consumer behavior. Based on our findings, we extend existing conceptual models that can be used to achieve platform-based financial service goals.

Abstract 5035: Q-omics: smart software for assisting oncology and cancer research

Abstract Increased multi-level omics data has enabled data-driven studies on cancer drugs, targets and biomarkers. Thus, it is necessary to develop comprehensive tools for oncologists and cancer scientists to carry out extensive data mining without computational expertise. For this purpose, we have developed innovative software that enables user-driven analyses on cancer omics data, assisted by knowledge-based smart systems. Publicly available multi-level omics data of mutations, gene/protein expression, patient survival, immune score (tumor infiltrating cells), drug screening and RNAi (shRNA and CRISPR) screenings on patient samples and cell lines, were integrated from the TCGA, GDSC, CCLE, NCI and DepMap databases. Q-omics provides user-friendly interface for calculation and visualization of cross-associated data pairs retrieved from integrated datasets. The optimal selection of samples, datasets and/or other filtering options is guided by knowledge-bases of the software for the quick and easy finding of significant associations between data pairs. Furthermore, implemented smart algorithms prioritize significant hits based on consensus scoring methods. Consensus scoring using multiple statistical tests with varied sample (or lineage) selection, enriches noise-free, robust cross-associated pairs in the hit list. We believe that Q-omics provide simple but powerful tools for all areas of oncology and cancer research. The latest version of Q-omics software is available at http://qomics.sookmyung.ac.kr. Citation Format: Sukjoon Yoon, Euna Jeong, Sumin Jeong, Jieun Lee, Youngju Kim. Q-omics: smart software for assisting oncology and cancer research [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 5035.

Testing the Expectation Confirmation Theory on the Training Satisfaction Context: The Mediation Role of Mind Wandering

ABSTRACTThe purpose of this study is to shed light on training satisfaction in Jordan, which is an indicator for training program efficiency and reflects the trainees’ reactions towards the training offered by the respective organizations. The benefits organizations gain from the training could improve their employees’ skills, abilities and knowledge. Moreover, they contribute to the high performance that has achieved the organization’s objectives. Globally, organizations spend $200 billion annually on training programs. However, employees are not always satisfied with the training they receive, and this often has consequences for the quality of their work performance. The current research framework is based on expectation confirmation theory (ECT) and other training satisfaction literature. It applies the convenient sampling method. Data were gathered via an online questionnaire; of these, 354 completed questionnaires were retrieved from the government sector. By using the statistical software Smart PLS, the data were analysed. Findings indicate that expectation (EXP) has no effects on training satisfaction (TS), while it has a negative relationship to disconfirmation of beliefs (DOB). Perceived performance (PP) has a positive impact on DOB and an unexpected negative impact on TS. DOB has a positive impact on TS. Work-life conflict (WLC) has a negative impact on mind wandering (MW). Additionally, MW has a negative impact on TS, and it mediates the relationship between (WLC) and TS.

ANTECEDENTS CUSTOMER DELIGHT AND CONSEQUENCES IT (Study on Padang Restaurants and Sundanese Restaurants in Jakarta)

Urban people have a lifestyle of enjoying culinary as a tourist activity and sharing their dining experiences through social media. The purpose of this study was to determine whether 1) Perception of food authenticity, 2) Servicescape, 3) Service encounters affect local food experience, 4) Local food experience affects customer satisfaction, 5) Customer satisfaction affects 6) Revisit Intention and 7) Willingness to post and share photos to social media. This research method is a quantitative survey with an online questionnaire instrument with a purposive sampling technique to millennial consumers between 24 and 40 years old who live in Jakarta and surrounding areas in October 2021. The number of samples used is 160 and data analysis uses a Partial Least Square approach. -structural equation modelling using smart software pls 3.29. The results of this study indicate that there is an influence between the perception of food authenticity on the local food experience, there is an influence between the service atmosphere on the local food experience, there is an influence between the local food experience on customer satisfaction, there is an influence of customer satisfaction on the intention to return, as well as there is an influence customer satisfaction with the willingness to post and share photos on social media. However, there is no relationship between service encounters and local food experience.

ENGLISH TRANSLATION BASED COMMUNICATIVE E-MODULE DESIGN TRANSLATION APPROACH IN UNU-SMART DARING APPLICATION IN TRANSLATION COURSE

Research on e-Modules was present learning packaged in one form of teaching materials in a systematic, easy to understand, interesting way so that it was easy to learn independently. This was in accordance with the times in the digital world, on the other hand, there was still an outbreak of the COVID-19 pandemic. The purpose of this research was designed an e-Module as a teaching material for fifth semester students of English Education in the smart UNU application. E-Model was an experience for prospective teacher students and has the ability to translate after graduating from college. As a support for the learning model to easily produce products, namely; Analysis, Design, Development, Implementation, Evaluation (ADDIE Model). The research has 3 (three) steps; Introduction, Development and Assessment. In stage (1) the Preliminary Study includes; study of translation theory in Education, communicative translation approach (CTA theory), UNU Online Smart software, (2) designing e-Modules, developing module assessment instruments, evaluation instruments, and (3) Product Testing Phase and a module-based communicative translation approach for English Language Education courses. The average value obtained was 43.31 with a good category based on the results of the validation analysis.

PENGARUH KUALITAS PRODUK, DESAIN PRODUK DAN HARGA TERHADAP KEPUTUSAN PEMBELIAN PRODUK MOTOR HONDA BEAT

It is undeniable that technological advances are also felt in the automotive world. Technological advances in the automotive world can be seen by the many motorcycle manufacturers that produce motorized vehicles that have other advantages and advantages. The purpose of this study was to determine the effect of product quality, product design and price on purchasing decisions for Honda beat motorcycle products. The research method is to use a quantitative approach. The research conducted by the researcher refers to the use and measurement of the linkert scale which is calculated from 1 to 5. The number of samples used is 100 samples. This study uses descriptive analysis using Partial Least Square (PLS) and hypothesis testing using statistical methods supported by PLS 3.0 smart software. Based on the results of research that has been carried out by researchers, there are several conclusions. First, the results of this study have shown that there is a positive and significant influence between product quality variables on purchasing decisions. Second, the product design variable has a positive and significant influence on the purchasing decision variables. The three price variables have a positive and significant influence on the purchasing decision variables . DOI : https://doi.org/10.33005/jbi.v13i1.3075

Determining the impact of brand value on the credibility of influencers over the purchase decision of millennial consumers

Nowadays, social media influencers are one of the most important assets of many businesses that originate purchase decisions. The relevance of this paper is determined by the fact that it tries to fill in the research gap of literature determining the factors that might influence the purchase decisions of millennial consumers based on the theories of the constructs. The purpose is to determine the impact of brand value on the credibility of influencers over the purchase decision. Therefore, 412 millennial consumers from the city of Arequipa, Peru, were surveyed through an online form provided by Google. Then, the validation and descriptive statistics were made on the program SPSS. Additionally, the inferential statistics using the software Smart PLS. The results show a positive, significant, and direct relationship between the credibility of influencers and customers’ purchase decisions. Moreover, this relationship increases through the brand value when incorporated into the model as a mediator variable, facilitating the decision of consumers. In conclusion, it was estimated that consumers feel even more confident when social media influencers transmit the message showing specific brand attributes. AcknowledgmentsThe authors thank the Universidad Nacional de San Agustin de Arequipa for its support in developing this project.The present study has been self-financed by the authors.

THE INFLUENCE OF PRODUCT KNOWLEDGE, PRODUCT EXPERIENCE, AND PRODUCTS BENEFITS ON CUSTOMERS’ SATISFACTION AND ITS IMPACT ON E-WOM MS GLOW COSMETIC CUSTOMERS IN PALU CITY

This research aims to determine and analyze the influence of product knowledge, product experience and product benefits have significant effect on customers’ satisfaction and its impact on the E-Wom of MS Glow Cosmetics customers in Palu City. The research population were MS Glow Cosmetics customers in Palu City. The sample in this research were 80 respondents. This is causal descriptive research with the data analysis technique used is partial least square (PLS). The data analysis technique used a smart software program (PLS) 3.0. The results reveal that the product knowledge variable have positive and significant influence on customers’ satisfaction with MS Glow Cosmetics in Palu City with a Sig-t value of 0.003. Furthermore, the product knowledge variable has positive and significant influence on the E-Wom of MS Glow Cosmetic customers in Palu City with a Sig-t value of 0.002. The product experience variable has positive and significant influence on customer satisfaction with MS Glow Cosmetics in Palu City with a Sig-t value of 0.000. The product experience variable has an influence, but is not significant on the E-WOM of MS Glow Cosmetics customers in Palu City with a Sig-t value of 0.176. Furthermore, the product benefit variable has an influence, but is not significant on customer satisfaction with MS Glow Cosmetics in Palu City with a Sig-t value of 0.095. The product benefit variable has a positive and significant influence on the E-Wom of MS Glow Cosmetics customers in Palu City with a Sig-t value of 0.049. And finally, the customer satisfaction variable has a positive and significant influence on the E-WOM of MS Glow Cosmetics customers in Palu City with a Sig-t value of 0.010.
 Keywords : Product Knowledge, Product Experience, Product Benefits, Customer Satisfaction and E-Wom.

Leveraging machine learning tools and algorithms for analysis of fruit fly morphometrics

Analysis of landmark-based morphometric measurements taken on body parts of insects have been a useful taxonomic approach alongside DNA barcoding in insect identification. Statistical analysis of morphometrics have largely been dominated by traditional methods and approaches such as principal component analysis (PCA), canonical variate analysis (CVA) and discriminant analysis (DA). However, advancement in computing power creates a paradigm shift to apply modern tools such as machine learning. Herein, we assess the predictive performance of four machine learning classifiers; K-nearest neighbor (KNN), random forest (RF), support vector machine (the linear, polynomial and radial kernel SVMs) and artificial neural network (ANNs) on fruit fly morphometrics that were previously analysed using PCA and CVA. KNN and RF performed poorly with overall model accuracy lower than “no-information rate” (NIR) (p value > 0.1). The SVM models had a predictive accuracy of > 95%, significantly higher than NIR (p < 0.001), Kappa > 0.78 and area under curve (AUC) of the receiver operating characteristics was > 0.91; while ANN model had a predictive accuracy of 96%, significantly higher than NIR, Kappa of 0.83 and AUC was 0.98. Wing veins 2, 3, 8, 10, 14 and tibia length were of higher importance than other variables based on both SVM and ANN models. We conclude that SVM and ANN models could be used to discriminate fruit fly species based on wing vein and tibia length measurements or any other morphologically similar pest taxa. These algorithms could be used as candidates for developing an integrated and smart application software for insect discrimination and identification. Variable importance analysis results in this study would be useful for future studies for deciding what must be measured.

HUBUNGAN KECERDASAN EMOSIONAL, KETERAMPILAN KEPEMIMPINAN SITUASIONAL DAN KINERJA PENGELOLA FAKULTAS: STUDI PADA EKONOMI DAN MANAJEMEN UNIVERSITAS SAMAWA SUMBAWA BESAR

This research was conducted with the aim of knowing the effect of Emotional Intelligence and analyzing the Effect of Situational Leadership Skills on the Performance of Managers of the Faculty of Economics and Management, Samawa University. The type of research used is descriptive. The type of data in this study is quantitative with primary data used in the form of direct information obtained from questionnaires filled out by respondents from lecturers, TU staff and students of the Faculty of Economics and Management, Samawa University batch 21 and batch 22. The analytical tools used in this study is Software Smart PLS 3.0 M3. The results showed that emotional intelligence had no significant effect on the performance of the managers of the Faculty of Economics and Management, Samawa University, while situational leadership skills had a positive and significant effect on the performance of the managers of the Faculty of Economics and Management, Samawa University.

Impact of job stress on job performance of health worker with work life balance as mediating variable

The role of health professionals in a country is important to maintain health care society. The needs of health worker significantly increase in-line with the demand of the society towards improving quality of health. Increasing number of patients from day to day demands jobs for health worker also to be increase. That condition will be affecting the job stress level and the work life balance of the health worker which in turn affects their job performance. This research is using the quantitative method, to test hypothesis by using statistical methods. Data analysis technique in this research using the Structural Equation Model (SEM) by using software Smart PLS 3.0. In this research job stress and work life balance found to significantly affect job performance of health workers, and job stress found to significantly affect work life balance. This research also found the mediation effect of work life balance on the correlation from job stress on job performance.

Research on Marketing Management Risk Decision Model Based on LINEST Function

The primary purpose of this research study is to describe the research on the marketing management risk decision model based on the LINEST function. This research is conducted in China and is used for measuring the risk decision model using different questions related to marketing management. The nature of this research is primary, and data were collected from 100 plus responders related to the marketing management fields. The research participants included males, females, employees of marketing, and other people from marketing management organizations. We used smart PLS software to measure the data and ran different informative statistical analyses. For measuring the marketing, research management used techniques that included a test of equality, PLS algorithm model, LINEST model, least-square model, histogram analysis, and different graphs related to the marketing management performance. The marketing management used different subvariables, including strategic management analysis, marketing mix planning, implementation, and control. The risk decision model is used as a dependent variable based on the LINEST functions. The overall result found that the marketing management risk decision model shows a significant relationship with each other based on LINEST function marketing management, which plays a vital role in organizations.

Tata Pamong Kolaboratif dalam Pengembangan Agrowisata “Kebun Desa” di Desa Tulungrejo, Kota Batu

The development of the current development paradigm puts the government not only as a single actor but must be able to involve the community and other stakeholders. Collaborative governance can be used as one of the government's options in developing a model of government collaboration with stakeholders. However, the practice is not easy to apply, one of which is developing village garden agrotourism in Tulungrejo Village, Bumiaji District, Batu City. This study aims to identify factors that influence the collaborative governance model and measure the feasibility of the model in the development of Village Garden agrotourism. This research uses quantitative methods with a case study approach. The data were analyzed using a structural equation model (SEM) with the smart partial software tool least square-structural equation model (Smart PLS-SEM). The results showed that five factors affect collaborative governance, and it is known that commitment to process has the most significant real effect that is realized on the dependence between the factors involved and working together to achieve goals. As indicated by the normed fit index, the feasibility of the model is 48%, which is in the medium category. During the agrotourism research process, the Village Garden is still in the development stage and still requires further development. Keywords: Agrotourism, Collaborative governance, Kebun desa