Smart Software Research Articles

The Role of Thriving and Determinants of Adaptive Performance: A Moderated Mediated Model in the Health Sector of Pakistan

Changes in organizational architecture (e.g., a change toward team-based management, downsizing) and technology innovation are becoming more complicated difficulties that workers must deal with. Opportunities and changing environmental demands that are required by the workers to adopt otherwise work processes have become less formalized. Finding and locating the “right person for the right job” has become extremely necessary for organizations. Nevertheless, who is the “right” choice? How should the capabilities of the employees be unbridled by the organization? Imprecise human solutions and uncertainty can lead which is a predicament. This study examined the determinants of adaptive performance in the healthcare sector of Pakistan. Also, examined the mediating role of the thriving and moderating role of psychological capital. Data were collected from 420 doctors working in private and government hospitals having experience in middle-level and upper-level management based on the convenience sampling technique. Statistical software SPSS and SMART PLS were used for data analysis. Results validates the hypothesis and question for the research to achieve the aims of the study. Based on the findings for direct and indirect hypothesized relationships found strong empirical support. This research contributes to a more in-depth understanding of the constructs, Abusive supervision, Workplace Incivility, Pro-Social Motivation, Thriving, Psychological Capital, and Adaptive Performance. Limitations suggested some guidelines for future studies. Research implications (theoretical and practical) were provided.

A review of harmonization methods for studying dietary patterns.

Data harmonization is the process by which each of the variables from different research studies are standardized to similar units resulting in comparable datasets. These data may be integrated for more powerful and accurate examination and prediction of outcomes for use in the intelligent and smart electronic health software programs and systems. Prospective harmonization is performed when researchers create guidelines for gathering and managing the data before data collection begins. In contrast, retrospective harmonization is performed by pooling previously collected data from various studies using expert domain knowledge to identify and translate variables. In nutritional epidemiology, dietary data harmonization is often necessary to construct the nutrient and food databases necessary to answer complex research questions and develop effective public health policy. In this paper, we review methods for effective data harmonization, including developing a harmonization plan, which common standards already exist for harmonization, and defining variables needed to harmonize datasets. Currently, several large-scale studies maintain harmonized nutrient databases, especially in Europe, and steps have been proposed to inform the retrospective harmonization process. As an example, data harmonization methods are applied to several U.S longitudinal diet datasets. Based on our review, considerations for future dietary data harmonization include user agreements for sharing private data among participating studies, defining variables and data dictionaries that accurately map variables among studies, and the use of secure data storage servers to maintain privacy. These considerations establish necessary components of harmonized data for smart health applications which can promote healthier eating and provide greater insights into the effect of dietary patterns on health.

Software Bug Number Prediction Based on Complex Network Theory and Panel Data Model

Accurate software bug number prediction makes software test resource allocation, maintenance, and release time cost efficient. However, it is a challenge to accurately predict the number of software bugs when there fluctuations caused by many uncertain factors faced by the complex software. Considering this, a new method for software bug number prediction based on a panel data model from the perspective of complex networks is proposed in this article. Using complex network theory, we constructed the software code network and calculated the static metrics of the network structure, and the percolation threshold of change in the network structure based on percolation theory as a dynamic metric. These network metrics were then normalized as inputs and a panel data model was used for bug prediction. The proposed method can predict the number of bugs for both within-project and cross-project. Empirical studies were performed on data obtained from 120 releases of eight open-source software projects (Lua, SQLite, Redis, Linux kernel, ant, jmeter, poi, and tomcat), the experimental results indicated that network metrics are effective bug indicators, and the proposed method outperformed ten baseline methods (with an average improvement of 28.05%). This article is expected to provide insights into more smart software quality and reliability assurance.

ANALISIS KINERJA PEGAWAI PAJAK YANG DIDETERMINASI OLEH SISTEM PERPAJAKAN DAN GAYA KEPEMIMPINAN

This study discusses tax system and the leadership style on employee performance. Problems that occur in the Tax Office Pratama Majalaya Bandung in taxation system that still have weaknesses such as gray areas that make tax employees KPP Majalaya Bandung violate Rules of the tax system and a different style of leadership of each leadership in the service and supervision and not exactly in the selection of leadership styles. This study aims to test how the influence of tax system and leadership style on employee performance in Tax Office Pratama Majalaya Bandung. The research method used is descriptive analysis method verifikatif with quantitative approach with unit analyzed analysis is Tax Office Pratama Majalaya Bandung. And the population of 78 employees using saturated samples. Data analysis techniques used are descriptive and verification analysis assisted by smart software PLS 3.The result of the research shows that Tax system has significant effect on Employee Performance with positive relationship, Leadership style has a significant effect on Employee Performance with positive relationship

Design and Implementation of an IoT-Based Smart Classroom Incubator

Ambient conditions influence human health, emotions, and mental power. Therefore, numerous studies have been conducted in different disciplines on the measurement and control of ambient conditions in classrooms. Moreover, a number of studies identify some physical and mental performances of students simultaneously or for informative purposes by utilizing various hardware and software. However, these studies did not consider automatic control processes and individuality in fulfilling classroom ambient conditions, which influence students’ behavior. This study aims to reduce the adverse impacts of environmental factors on learning and control more necessary physical parameters with higher accuracy using the latest technology and methods. Thus, a new smart classroom incubator (SCI) algorithm, including hardware, software, and experimental studies, in which individual differences could be considered even in the same classroom environment, and its implementation were presented. The system enables access and monitoring of data wherever there is Internet connection. Moreover, it was designed based on IoT because it allows for data transfer over web services or data-dependent operations. All the necessary equipment was placed in the classroom without affecting the learning environment and distracting the class. Cronbach’s α coefficient, which indicates the reliability of the implemented model, was 0.891.

Development of Smart Software for the Selection and Design of Local Ventilation Systems based on the Visual Basic Programming Language

Development of Smart Software for the Selection and Design of Local Ventilation Systems based on the Visual Basic Programming Language

Analysis of Economic Performance Determination in Supporting Community Welfare of District/City in Bali Province

The purpose of economic development is aimed to improve the community welfare. To realize the welfare community life, the government of Bali Province has implemented several effort through the work program with supported the existing budget. From the literature studies known that the financial performance, capital expenditure and the economic performance has influenced on the community welfare. The purpose of this research is analysis (1) the effect of financial performance and capital expenditure on the economic performance; (2) the effect of financial performance, capital expenditure and economic performance on the community welfare; and (3) analysis of the non-direct effect of financial performance and the capital expenditure on the community welfare through the economic performance on the District/city of Bali Province. This research is using panel data which are the combination between data of cross section which consists of 9 District with the data of time series 2010-2019. The data that used in this research is secondary data which is in the form of data which obtained from the financial data of the district/city of Bali province. The data managing and analysis is implemented with PLS Smart Software. The results and data analysis shows that (1) financial performance and capital expenditure has positive and significant influenced on the economic performance; (2) capital expenditure and economic performance has positive and significant influenced on the community welfare but the financial performance is not significant; and (3) financial performance is indirectly positive and significant influenced on the community welfare through the economic performance while the capital expenditure is not significant. The financial performance is able to improve the economic performance but unable to increase the community welfare, the financial performance holds the important and financial performance will be optimally on the community welfare if mediated by the economic performance on district/city of Bali Province.

Discussion on Application of Embedded Operating System in Dual-Core Smart Electric Meter

The new generation of smart meters need to realize the requirements of flexible expansion of advanced applications and transplantation of application software across hardware platforms. The software platform composed of operating system and middle layer service components is conducive to reducing the cost of software and hardware development and management. This paper first introduces the research and development background of the new generation smart meter, then introduces its overall software and hardware architecture and management unit hardware development platform, then introduces the construction of development environment and development tools and the basic functions based on the software platform, and finally introduces the development practice of application software. The large-scale promotion of the new generation of smart meters has become a development trend. This paper has a good reference for the application software development based on the new generation of smart meter software platform and is conducive to promoting the large-scale application of the new generation of smart meters.

A Model for Evaluating the Effectiveness of Precise Governance of Social Assistance from a Management Perspective and Environment of Public Health.

The research study describes the assessment model and its effect of precise governance of social assistance related to management's perspective. This research study was conducted in Chinese organizations which are related to the precise governance of social assistance. This research study is based on primary data analysis for gathering the data using specific questions related to social assistance and management. In this research study, the precise governance of social assistance is considered an independent variable, and management's perspective is the dependent variable. The planning, designing, leading, the growth of the organization process, and system control are all subparts of management's perspective. To measure the data, this study used 100 plus respondent persons who know social assistance related to governance and management. To measure the data, smart PLS software, and AMOS software and run informative results included growth curve model, the smart algorithm model, the regression weighted analysis, the correlation, covariance, minimization history, and assessment of normality. The overall result found that precise governance of social assistance shows positive and significant effects in the management perspectives.

“ТУРИЗМ 4.0”: “САНОАТ 4.0” ТЕХНОЛОГИЯЛАРИНИ ТУРИЗМ СОҲАСИДА ҚЎЛЛАШ ИМКОНИЯТЛАРИ

The process of digitization, which continued the era of the Third Industrial Revolution, paved the way for a new era called “Industry 4.0” (the 4th Industrial Revolution). Based on the dynamics of Industry 4.0 development, the Tourism 4.0 concept now reinforces the perception of technology-based changes in the tourism industry that are highly interconnected and similar to figital (real-world and digital technology combinations) systems. Therefore, the purpose of this study is to identify the potential impacts (positive and negative) of Industry 4.0 and its components on the tourism industry, to study and analyze the stages of development of tourism in the context of "Industry 4.0" and web technologies, as well as to form a list of proposals for the integration of tourism into technologies of "Industry 4.0". The study also highlighted the importance of training smart device and software developers in the field of tourism and the development of conceptual, technical and innovative skills of industry professionals in the management of technological infrastructure.

ASCP-IoMT: AI-Enabled Lightweight Secure Communication Protocol for Internet of Medical Things

The Internet of Medical Things (IoMT) is a unification of smart healthcare devices, tools, and software, which connect various patients and other users to the healthcare information system through the networking technology. It further reduces unnecessary hospital visits and the burden on healthcare systems by connecting the patients to their healthcare experts (i.e., doctors) and allows secure transmission of healthcare data over an insecure channel (e.g., the Internet). Since Artificial Intelligence (AI) has a great impact on the performance and usability of an information system, it is important to include its modules in a healthcare information system, which will be very helpful for the prediction of some phenomena, such as chances of getting a heart attack and possibility of a tumor, from the collected and analysed healthcare data. To mitigate these issues, in this paper, a new AI-enabled lightweight, secure communication scheme for an IoMT environment has been designed and named as ASCP-IoMT, in short. The security analysis of ASCP-IoMT is performed in different ways, such as an informal way and a formal way (through the random oracle model). ASCP-IoMT performs better than other similar schemes and provides superior security with extra functionality features as compared those for the existing state of art solutions. A practical implementation of ASCP-IoMT is also performed in order to measure its impact on various network performance parameters. The end to end delay values of ASCP-IoMT are 0.01587, 0.07440 and 0.17097 seconds and the throughput values of ASCP-IoMT are 5.05, 10.88 and 16.41 bps under the different considered cases, respectively. For AI-based Big data analytics phase, the values of computation time (seconds) for decision tree, support vector machine (SVM), and logistic regression are measured as 0.19, 0.23, and 0.27, respectively. Moreover, the different values of accuracy for decision tree, SVM and logistic regression are 84.24%, 87.57%, and 85.20%, respectively. From these values, it is clear that decision tree method requires less time than the other considered techniques, whereas accuracy is high in case of SVM.

Boosting operational performance through logistics drivers: Evidence from manufacturing industry

The aim of the study was to examine the impact of logistics drivers on the operational performance of large manufacturing industries in Ethiopia. To this end, the researchers employed an explanatory research design with a mixed approach. To select the case industries the researchers used the census sampling technique and stratified sampling technique for respondents’ selection. Both primary and secondary data were accessed about the issue to analyze. After the data collection process, the study used a partial least square structural equation model (PLS-SEM) to find the relationships between the hypothesized constructs. In this study, inferential analysis was made with the support of smart PLS software. The result of the finding depicts that the product of R2 Value specifies that 69.1% of enhancement in an endogenous variable (i.e., Operational performance) is caused by the joint results from the exogenous variable (i.e. Transportation, Inventory, and facility Management). The finding also shows that there are raw materials and currency problems that made the industries produce below their capacity.

A Smart Software Defined Network Controller Based Routing Adaptation for Enhancing Qoe of Video Streaming

A Smart Software Defined Network Controller Based Routing Adaptation for Enhancing Qoe of Video Streaming

Factors that Influence the Public Sector Universities Performance in Pakistan

Purpose: The perceived performance of the public sector universities mainly depends upon on academia particularly the faculty members’ potential contribution, quality of teaching and knowledge generation. HRM practices are designed in such a way to accelerate performance of employees, for attaining organizational aims and objectives with organizational justice. Whereas the workforce of any organization is deemed as dynamic asset to contribute for institutional performance. Therefore, career success of the faculty members has been taken as mediating variable in the study.
 Design/Methodology/Approach: For crafting the research study, faculty members were chosen from Pakistan’s public-sector universities. Whereas, to establish the conceptual framework, the researchers have applied the Dynamic Capabilities Theory (DCT) as the underpinning theory for this construct. For sampling purposes, proportionate stratified sampling has been designed; random sampling was utilized to select the respondents within each stratum. The questionnaire was distributed among individuals personally. Afterword, data were cleaned for missing values, outliers, aberrant values and tested for normality, reliability, and validity.
 Findings: Hypotheses were tested by applying partial least squares - structural equation modelling (SEM) technique through statistical software SMART PLS licenced version 3. The construct in the context of Pakistan in amongst the preliminary studies.
 Implications/Originality/Value: The findings will be helpful for higher education commission of Pakistan for designing strategies.

Effect of Pandemic on Women Entrepreneur Sustainability and Post Pandemic Opportunity on SMEs: Case Study of South Punjab

Purpose: The pandemic posed a major challenge to entrepreneurs around the world. Women entrepreneurs contribute significantly to economic growth. The recent pandemic situation impacted their reach to some extent, but women entrepreneurs, with their strong dedication against the crisis, succeeded during this process. Effect of pandemic on women entrepreneur sustainability is examined in this study. Design/Methodology/Approach: Entrepreneurship, Institutional and Social learning theories were used in this study. For conducting this research, the data is gathered from 309 respondents. SPSS is used for descriptive analysis and inferential analysis using the software Smart PLS 3. The provided hypothesis was analyzed in two-step approach using partial least squares structural equation modeling (Smart-PLS 3). Findings: The results show a significant link between the variables. While the pandemic as a moderator showed an insignificant relationship between women's entrepreneur orientation and women's entrepreneur sustainability in SMEs, the moderating role has significant moderation on the relationship between SMEs' growth and women's entrepreneur sustainability in SMEs. Implications/Originality/Value: Increases in women's entrepreneur orientation and SME growth resulted in increases in women's entrepreneur sustainability in SMEs, but the novelty of this study is to describe how pandemics play as moderator roles in women's entrepreneur orientation, SME growth, and women's entrepreneur sustainability in SMEs.

Pengaruh Sistem Informasi Akuntansi Manajemen, Gaya Kepemimpinan, Trust, dan Ketidakpastian Lingkungan terhadap Kinerja Manajerial

This study aims to examine the effect of the information systems of management accounting, leadership style, trust, and environmental uncertainty on managerial performance. The test was carried out on forty managers of sharia cooperatives in Lombok. The type of research is associative. The type of data used in this research is quantitative using primary data. Data processing techniques in this study were calculated by SEM-based variants (SEM PLS) using a smart PLS software application. The results of this study showed that environmental uncertainty has a significant effect on managerial performance, while the information system of management accounting, leadership style, and trust have an effect but not significant on managerial performance. The results of the finding of this study have an implication for sharia cooperatives, both sharia cooperative managers, supervisors, and members of sharia cooperatives in general, especially in Lombok in making decisions to formulate policies related to the implementation of management accounting information systems, leadership style, trust and being able to anticipate environmental uncertainty and can create right decisions to improve managerial performance.

Bionic for Training: Smart Framework Design for Multisensor Mechatronic Platform Validation.

Home monitoring supports the continuous improvement of the therapy by sharing data with healthcare professionals. It is required when life-threatening events can still occur after hospital discharge such as neonatal apnea. However, multiple sources of external noise could affect data quality and/or increase the misdetection rate. In this study, we developed a mechatronic platform for sensor characterizations and a framework to manage data in the context of neonatal apnea. The platform can simulate the movement of the abdomen in different plausible newborn positions by merging data acquired simultaneously from three-axis accelerometers and infrared sensors. We simulated nine apnea conditions combining three different linear displacements and body postures in the presence of self-generated external noise, showing how it is possible to reduce errors near to zero in phenomena detection. Finally, the development of a smart 8Ws-based software and a customizable mobile application were proposed to facilitate data management and interpretation, classifying the alerts to guarantee the correct information sharing without specialized skills.

PENGARUH LINGKUNGAN KERJA FISIK DAN DISIPLIN TERHADAP KINERJA DENGAN MOTIVASI KERJA SEBAGAI VARIABEL MODERATING PADA PEGAWAI DI KANTOR CAMAT KABUPATEN KERINCI

This study aims to determine the effect of the physical work environment and discipline on employee performance at the Kerinci district office with work motivation as a moderating variable. The population in this study were 55 employees at the Kerinci District Head Office from 3 sub-district offices, namely the Keliling Danau, Sitinjau Laut and Gunung Raya sub-district offices. The sampling technique is full sampling. In this study, there are two stages of analysis that will be carried out, namely First, SEM analysis based on variance (Component based SEM) or Partial Least Square (PLS) with the help of Visual software Smart PLS (Partial Least Square) version 3.0 then with Moderated Structural Equation analysis. Modeling (MSEM). The results showed that the value of the R-Square of performance was 0.543, which means that 54.3% of the variance of the performance variable can be explained by the variables of the physical work environment, discipline and work motivation. The value of the R-Square motivation of 0.219 can be interpreted that 21.9% of the variance of the work motivation variable can be explained by the physical work environment and discipline variables

Practical State of Critical Thinking Skills of Da Nang High School Students

Critical thinking has been the goal of education for centuries. According to World Economic Forum, critical thinking is the most important skill of workers. The modern educational environment in this digital age is equipped with smart devices and software to help develop students’ thinking and stimulate creativity. Students will have access to many sources of knowledge and rich cultures. Thus, students need to construct new knowledge independently, build their own opinions, have the ability to evaluate and refute facts, opinions, and events in a scientific and creative manner, actively attain and master scientific knowledge, etc. Especially in the current trend of globalization and information explosion, it is no longer appropriate for students to passively accept the views given by teachers without consideration. The development of critical thinking for students in schools has become extremely necessary. The Research about the Practical State of Critical Thinking Skills of Da Nang High School Students is a project to approach the above trend, this study will focus on surveying the current situation and level of critical thinking skills of high school students in Da Nang City, and from there proposes some measures to support the improvement of appropriate critical thinking skills.

Modeling Supply Chain Resilience in Industrialized Construction: A Hong Kong Case

Given the heightened imperatives for supply chain resilience (SCR) in industrialized construction (IC) in Hong Kong, this study modeled the dynamic impact of supply chain vulnerabilities (SCVs) and supply chain capabilities (SCCs) on IC supply chains. The data collected through expert surveys, interviews, and case studies were analyzed using social network analysis (SNA) and system dynamics modeling (SDM) to develop the research models. Onsite assembly was identified as the most vulnerable supply chain phase, and anticipation as the most influential capability. Further, the use of an interoperable smart software package and other suggested strategies were shown to enhance IC’s resilient capabilities. As key practical contributions, these findings provide evidence-based insights for adopting well-focused performance-enhancing measures to achieve SCR in IC. Moreover, this is the first initiative to explore the potential applications of SDM and SNA to assess IC supply chain dynamics, targeting a goal of enhanced resilience. This study, therefore, contributes substantially to the IC and SCR knowledge domains. Findings should also motivate and provide insights for scholars pursuing similar industry-specific improvements in other jurisdictions.