Smart Software Research Articles

The influence of empowerment on collaboration and knowledge sharing and their influence on project success.

The purpose of this research is to evaluate the effects that empowerment has on the sharing of information and cooperation in an effective project management setting. The purpose of this study is to investigate the direct impacts of empowerment, which will be evaluated based on autonomy and responsibility, on efficiency of cooperation between members of a team, the sharing of information, and the accomplishment of the project. A total of 228 Pakistani project managers were surveyed via the use of questionnaires, and the results were analyzed through the use of SPSS 25.0 and SMART software PLS 4. The findings demonstrated that empowerment has a beneficial impact on the cooperation and information sharing that occurs between team member exchanges and other project teams, which in turn has a favorable influence on the success of the project. While the responsibility of collaborators reflects positively in cooperation and information sharing, the autonomy that is assigned to the exchanges that take place between members of the project team encourages the sharing of knowledge and facilitates the success of the project. Not only do these findings help to the enhancement of theoretical understanding about project management, but they also enhance the practice of project team management. There is an increase in the likelihood of the project being successful as a result of their guidance to project managers on the delegation of autonomy and responsibility to team member exchanges. The research makes a contribution to the cultivation of improved project management techniques and highlights the significance of leadership abilities in the accomplishment of successful project outcomes.

Big Data Capabilities, Strategic Flexibility and Competitive Performance: Evidence from Vietnam Tourism and Hospitality

This study aims to investigate the impact of big data capability and strategic flexibility on competitive performance. Structural equation modelling software Smart PLS 4.0 was used to analyse a sample of 138 tourism and hospitality enterprises in Vietnam. Empirical findings show that big data capabilities positively impact competitive performance. Strategic flexibility mediates the link between big data capabilities and competitive performance. Indeed, both reactive and proactive strategic flexibility positively mediate the relationship between big data capability and competitive performance. Moreover, compared to proactive strategic flexibility, reactive strategic flexibility has a more robust mediating effect on the link between big data capabilities and competitive performance. This research contributes to the literature by showing that big data capability and strategic flexibility are the strongest predictors of competitive performance in hospitality and tourism enterprises. The implications for the development of big data analytics capabilities combined with a flexible strategy to achieve improvements in competitive effectiveness in the hotel and tourism industry are suggested.

Management Control System and Firm Performance: A Strategic Approach

This research aims to examine the relationship between management control systems and firm performance through firm capability. The research used a survey method in processing industrial companies with a population of 137. The number of samples analyzed was 63 samples. The analytical tool used to test the hypothesis is Partial Least Square (PLS) with the help of smart PLS software version 4.0. The research results succeeded in proving a direct relationship between the management control system affecting firm capability, the management control system on firm performance, and firm capability on firm performance. Apart from that, the results of this research also prove that firm capability can mediate the relationship between the management control system and firm performance. This indicates that the company’s success in achieving optimal performance and achieving competitive advantage lies in the strategy of implementing the management control system and firm capability. Therefore, the company continues to improve its management control system and capability so that firm performance can improve and achieve competitive advantage.

Analysis of the Factors Influencing the Intention to Share Information: Word-of-Mouth About Fast-Food Restaurants.

In a highly competitive market, word-of-mouth (WOM) has become one of the most effective ways to attract new customers, as consumer opinions are seen as reliable and have a direct impact on their consumption habits. Based on this premise, the present study aimed to analyze the factors that influence fast-food restaurant consumers in Chile in their intention to share word-of-mouth information. A quantitative approach was adopted for this analysis, using a cross-sectional and correlational design, which included 739 Chilean fast-food consumers, who were given a 25-item questionnaire. This questionnaire was developed from previous research in the field and validated by a panel of experts in marketing and research. The data analysis was conducted using the statistical software Smart PLS 4, allowing for the evaluation of the model's convergent and discriminant validity, as well as facilitating hypothesis testing through structural equation modeling. The results showed that the physical atmosphere of the restaurants generates both hedonic and utilitarian value for consumers, which increases their satisfaction and reinforces their intention to recommend these restaurants. In conclusion, this study provides valuable insights into consumer behavior, offering a solid foundation for strategic decision making that could enhance the positioning of restaurants in the market and create a loyalty cycle among customers.

Explanation of the Opportunity Identification Model Based on Gender Restrictions Affecting Women's Entrepreneurial Identity

Background: Stereotypical beliefs and gender biases play a limiting and discouraging role in the development of women's entrepreneurship, which can have a significant impact on women's willingness to become entrepreneurs. Methods: This research aims to identify and analyze the gender-based limitations affecting the entrepreneurial opportunities of female entrepreneurs using a mixed-methods approach. This research is applied in terms of its objective. In the qualitative phase, 14 experts were selected using a purposeful sampling method. Data collection was conducted through library studies and semi-structured interviews. In this section, the data were analyzed in three stages: open, axial, and selective coding, which resulted in the identification of 51 indicators and 12 components. The research questionnaire was designed based on these indicators. In the quantitative section, the statistical population was all female entrepreneurs in the pharmaceutical companies under study, which totaled 425 people. Using Cochran's formula and a simple random sampling method, 170 people were selected as the sample size. Data collection was carried out using a researcher-made questionnaire, whose reliability was confirmed with a Cronbach's alpha coefficient of 0.89 and validity using expert opinion. Data analysis was performed using SPSS23 and PLS3 Smart software. Results: Based on the research findings, 12 components of social, cultural, economic, educational, legal, behavioral, personality, individual, commercialization, knowledge enhancement, entrepreneurial awareness, and market recognition limitations were identified under the title of dimensions and components of gender-based limitations affecting women's entrepreneurial opportunities. The results also showed that social limitations (β=-0/578), cultural limitations (β=-0/429), economic limitations (β=-0/408), educational limitations (β=-0/346), legal limitations (β=-0/297), behavioral limitations (β=-0/215), personality limitations (β=-0/189), and individual limitations (β=-0/138) have a negative and significant impact on entrepreneurial opportunities

The utility of smart government services apps solutions in the post-pandemic era

Purpose The main purpose of this study is to determine the antecedent factors of smart government service apps intention and its impact on actual use by extending the unified theory of acceptance and use of technology (UTAUT) in the Jordanian context. Design/methodology/approach To achieve the main purpose, a quantitative method was used to test collected data, and hypotheses testing through using statistical package for social sciences (SPSS) and smart partial least squares software. Findings The findings indicate that social media advertising has a positive effect on both social influence and peer influence. Furthermore, it demonstrated a significant effect of social influence on performance expectancy. In addition, there is a direct correlation between the government capacity, effort expectancy, facilitating conditions and the intention to use e-government services. Lastly, the results mainly show that the actual use of e-government services is significantly and positively influenced by intention and self-isolation. Next, as expected, self-isolation moderated the relationship between intention to use and actual use of e-government services via the Sanad application, and hence the related hypothesis was supported. Originality/value This study provides practical recommendations for the policy-makers in the Jordanian e-government and Ministry of Digital Economy and Entrepreneurship (MoDEE) in Jordan.

Technology-Based Education Marketplace Software for Adult Learning

The objectives of this research are: 1) to describe the empirical conditions of learning needs at the Community Learning Centre (CLC) in Indonesia; and 2) to explain how the marketplace model is used to address learning needs. Benefits from the education marketplace can assist learners in meeting their learning needs, connecting to various learning materials, and ensuring they can study and remain productive. From December 2022 to May 2023, the research methodologies used, i.e., mixed methods with qualitative and quantitative approaches, were carried out to 228 CLC students in 77 CLCs all over Indonesia. The findings of this study have resulted in prototypes of physical models and narrative models that can be used to address the community's learning needs in the CLC institutional context via the Education Marketplace software Smart Store. As an adult learner, the intelligent store marketplace has given adults the ability to select roles, i.e. as a learning resource. This study suggests that technology can enable and enhance lifelong learning, and that everyone can learn to meet their knowledge demands through technology.

The Influence of Personal Selling and Promotion on Increasing Sales Through Brand Image in MSMEs Medan Food Court

The aim of this research is to analyze the influence of personal selling and promotions with brand image moderating variables on increasing sales at Medan Foodcourt MSMEs . The population in this research was 46 MSMEs, taking illustrations using a saturated sampling method with a total of 46 illustrations. This research used SEM PLS analysis procedures tested using software smart PLS. The results of this research show that personal selling has a positive influence and has a big impact on brand image. The promotion has a positive and significant influence on Brand Image. Personal selling has a positive and significant influence on increasing sales. The promotion has a positive and significant influence on increasing sales. Brand Image has a positive and significant influence on Increased Sales. Personal selling through Brand Image has a positive and insignificant effect on increasing sales. Promotion through Brand Image has a positive and significant influence on increasing sales. The implications of this research suggest that Foodcourt MSMEs must focus on developing personal selling and promotional strategies that can improve brand image to achieve long-term sales growth

Adopsi Teknologi Sistem Cad/Cam Pada Industri Tekstil Dan Garmen

Industry of textile and garment is one of the national priorities, but the industrial growth slowing down, this is due to the condition of an old machine. In industry of textile and garment, techgnology CAD/CAM system is relative new technology and has been provided by the vendors CAD/CAM systems, however the adoption rate is still low. Therefore, it is necessary to measure the extent of the influence from the factors that influence adoption technology CAD/CAM systems. This study aims to identification factors that affect the adoption technology CAD/CAM systems and develop a model CAD/CAM systems adoption. This model was developed from basic models the technology organization environment (TOE) framework and individual context. Ten hypotheses were develop in this study and data processing use method Partial Least Square (PLS) with software Smart PLS 4.0 Survey was conducted using questionnaires, successfully raised as much as 94 respondent from large textile and garment companies. Results of this research are proofing factors positive effect to adoption technology CAD/CAM systems are Relative Advantage, Compability, Complexity, Cost, Top Management Support, Technical Skill, Export Orientation, External Pressure, External Support and CEO’s or CIO’s Knowledge Level.

Advancements and Best Practices in Hard Disk Drives (HDDs) Repair: A Comprehensive Review of Diagnostic Techniques, Repair Methods, and Preventive Strategies

Hard Disk Drives (HDDs) remain a crucial component of data storage systems despite the advent of Solid State Drives (SSDs). However, the mechanical and electronic nature of HDDs makes them susceptible to various failures over time. This article provides a comprehensive examination of HDD repair, focusing on the anatomy and function of these devices, common causes of failure, diagnostic techniques, and effective repair methods. Mechanical failures, such as head crashes and spindle motor issues, electronic failures like PCB damage, and logical failures including file system corruption and bad sectors are explored in detail. Diagnostic approaches utilizing visual inspection, diagnostic software tools, hardware-based diagnostics, and SMART monitoring are discussed to aid in identifying issues accurately. Repair methods covered include data recovery techniques, mechanical repairs, electronic component replacement, and firmware fixes. Real-world case studies illustrate practical challenges and solutions in HDD repair, highlighting the complexities involved. Additionally, best practices and safety measures for handling and maintaining HDDs are provided to prevent future failures and ensure data integrity. This article aims to equip data recovery professionals, IT technicians, and tech enthusiasts with the knowledge and skills necessary to diagnose and repair HDD issues effectively. By integrating technical insights and practical approaches, it serves as a valuable resource for enhancing the reliability and longevity of HDDs in various applications.

The Mediation Effect of Customer Satisfaction in the Relationship between CSR and Financial Performance: An Empirical Study in Large Companies in Serbia

Although corporate social responsibility (CSR) can be examined from the point of view of the fundamental philosophy of business and society, many companies focus solely on profit. The main goal of this research is the investigation of the relationship between CSR and organizational financial performance, and the role of customer satisfaction in the proposed relationship. To investigate the proposed relationships, PLS–SEM analysis was performed using the statistical software Smart PLS. The sample used for this study consists of 165 large companies that operate in the Republic of Serbia, each with more than 250 employees (large organizations). The obtained results showed that in companies in Serbia, there is a positive and statistically significant relationship between CSR and customer satisfaction and a positive but statistically insignificant relationship between CSR and financial performance. Regarding the mediating role of customer satisfaction in explaining the relationship between CSR and financial performance, a positive full mediation relationship was found. Theoretical and managerial implications are also provided.

Investigating Factors Affect Perceived Value And E-Word Of Mouth (E-WOM) In Choosing Islamic Digital Banks

The Covid-19 pandemic has sped up the need for digitalization in doing daily activities including banking. Thus, banks is now in competition to give the best digital platform to serve their customers. One of the most effective form of promotion to introduce a new services is word of mouth. This study aims to investigate the effect of E-word of mouth (E-WOM) on customer decisions to choose an Islamic Bank: A Case Study of Indonesia’s Islamic Digital Banks. This research includes survey research by taking samples and using questionnaires as the main data. The study targetted 130 customers who have active accounts in the form of savings or time deposits. Primary data processing by factor analysis by testing the research model and the hypothesis of the relationship between variables, this processing uses smart PLS statistical software with the Structural Equation Modeling method with Partial Least Squares. The results of the analysis show that religious motivation and service quality have a positive effect on consumer ratings, where consumer ratings and service quality have a positive effect on E-word of mouth while convenience has no positive effect on consumer ratings and E-word of mouth on respondents. The current study contributes novelty to adjust the existing model with Islamic Digital Bank (IDB).

The Role of Self-Efficacy as a Mediator Between Active Organization and Job Readiness

The world of work requires students to have abilities and work skills as a basis for negotiation since willingness to work is the basis. At the same time, the organization promotes students' self-efficacy, making them more mature and career-ready. This study aims to determine the importance of self-efficacy as a mediator between organizational activities and work readiness. The research method uses a quantitative approach. The subjects were 95 students from the Faculty of Economics and Management, Mulawarman University, who were selected through simple random sampling. The data collection method uses three types of scales: work readiness scale, organizational activity scale, and self-efficacy scale. Structural Equation Modeling analysis technique and statistical software Smart PLS are adopted. The research results show that self-efficacy can play a partial role as a mediator between organizational activity and students' job readiness, organizational activity can directly affect students' work motivation, and Organizational activity can affect students' self-efficacy. This study concludes that self-efficacy plays a vital role in improving students' job readiness, directly or indirectly, in the current millennium.

Fine-grained vulnerability detection for medical sensor systems

The Internet of Things (IoT) has revolutionized the healthcare system by connecting medical sensors to the internet, while also posing challenges to the security of medical sensor networks (MSN). Given the extreme sensitivity of medical data, any vulnerability may result in data breaches and misuse, impacting patient safety and privacy. Therefore, safeguarding MSN security is critical. As medical sensor devices rely on smart healthcare software systems for data management and communication, precisely detecting system code vulnerabilities is essential to ensuring network security. Effective software vulnerability detection targets two key objectives: (i) achieving high accuracy and (ii) directly identifying vulnerable code lines for developers to fix. To address these challenges, we introduce Vulcoder, a novel vulnerability-oriented, encoder-driven model based on the Bidirectional Encoder Representations from Transformers (BERT) architecture. We propose a one-to-one mapping function to capture code semantics through abstract syntax trees (AST). Combined with multi-head attention, Vulcoder achieves precise function- and line-level detection of software vulnerabilities in MSN. This accelerates the vulnerability remediation process, thereby strengthening network security. Experimental results on various datasets demonstrate that Vulcoder outperforms previous models in identifying vulnerabilities within MSN. Specifically, it achieves a 1%–419% improvement in function-level prediction F1 scores and a 12.5%–380% increase in line-level localization precision. Therefore, Vulcoder helps enhance security defenses and safeguard patient privacy in MSN, facilitating the development of smart healthcare.

Technology-Based Music Interventions to Reduce Anxiety and Pain Among Patients Undergoing Surgery or Procedures: Systematic Review of the Literature.

Hospitalized patients undergoing surgery or procedures may experience negative symptoms. Music is a nonpharmacological complementary approach and is used as an intervention to reduce anxiety, stress, and pain in these patients. Recently, music has been used conveniently in clinical situations with technology devices, and the mode of providing music is an important factor in technology-based music interventions. However, many reviews have focused only on the effectiveness of music interventions. We aimed to review randomized controlled trials (RCTs) of technology-based music interventions for reducing anxiety and pain among patients undergoing surgery or procedures. We examined the clinical situation, devices used, delivery methods, and effectiveness of technology-based music interventions in primary articles. The search was performed in the following 5 electronic databases: PubMed, MEDLINE (OvidSP), CINAHL complete, PSYCINFO, and Embase. This systematic review focused on technology-based music interventions. The following articles were included: (1) RCTs, (2) studies using interactive technology (eg, smartphones, mHealth, tablets, applications, and virtual reality), (3) empirical studies reporting pain and anxiety outcomes, and (4) English articles published from 2018 to 2023 (as of January 18, 2023). The risk of bias was assessed using the Cochrane Risk of Bias tool version 2. Among 292 studies identified, 21 met the inclusion criteria and were included. Of these studies, 9 reported that anxiety scores decreased after music interventions and 7 reported that pain could be decreased before, during, and after procedures. The methodology of the music intervention was important to the results on anxiety and pain in the clinical trials. More than 50% (13/21, 62%) of the studies included in this review allowed participants to select themes themselves. However, it was difficult to distinguish differences in effects depending on the device or software used for the music interventions. Technology-based music interventions could help reduce anxiety and pain among patients undergoing surgery or procedures. The findings of this review could help medical teams to choose a practical methodology for music interventions. Future studies should examine the effects of advanced technology-based music interventions using smart devices and software that promote interactions between medical staff and patients.

Motivation's influence on credit decisions: unveiling the moderating effect of brand awareness in PT Bank Syariah Indonesia Tebing Tinggi branch

The number of MSMEs in Indonesia is very large, but the portion of credit financing to MSMEs is still very small when compared to the percentage of the number of MSMEs. Therefore, this study aims to analyze the effect of MSME customer motivation on credit decisions at PT Bank Syariah Indonesia through brand awareness as a moderating variable. This research is a quantitative descriptive study conducted on 250 MSME customers of PT Bank Syariah Indonesia, who have credit with current status and are willing to be respondents. Sampling method with accidental sampling. This study uses primary data collected by questionnaires distributed to respondents. Respondents' perceptions were measured using a Likert scale. Research with SEM model, data processing with PLS 3.0 smart software. The results showed that motivation and brand awareness has a significant effect on MSME customer credit decisions at PT Bank Syariah Indonesia Tebing Tinggi branch. Brand awareness can be a moderating variable in the influence of motivation on credit decisions of MSME customers of PT Bank Syariah Indonesia Tebing Tinggi Branch. The implication of this research is targeting the policy of increasing Islamic bank credit financing that is oriented towards brand awareness.

Global Supply Chain Operations for Investment Locations Selection in Climate Change Variation

A livable city is a city where people can live comfortably and peacefully. The success of a livable city is achieved not only by physical advantage factors but also by social and economic factors. Livable cities must be investment-friendly to support economic functions. Investment-friendly cities will be the preferred locations for multinational corporations. Urban planners, designers, and managers need to devise urban development strategies that attract investors. This research aims to identify pivotal factors that drive investors' decision-making in selecting investment locations. This study focuses on the influence of global supply chain operations on investment location selection in the era of climate change, which is still relatively rare as it attempts to formulate regional development policies based on a demand-side approach. A demand-based approach requires identifying the investor's point of view in the investment location selection process. The Electronics and Automotive industry in the JABABEKA Industrial Area, Jakarta, Indonesia, is used as a case study. Primary data was collected from the respondents' perceptions and analyzed using the Structural Equation Model (SEM) method, applied in the software Smart PLS 3.2.8. The structural model used in this approach is formative. On a global scale, the choice of Indonesia as an investment location is influenced by (i) aspects of physical, social, and economic advantages related to cross-border trade and (ii) aspects of the supply chain related to the impact of climate change.

Blockchain-Powered Secure Communication Protocol for the Internet of Medical Things (IoMT)

The Internet of Medical Things (IoMT) through network technology provides smart medical devices, equipment, and software to connect different patients and users with medical information. Integrating Blockchain technology into IoMT-based healthcare IoT solutions increases security and privacy. Blockchain’s decentralized architecture ensures data integrity, confidentiality, and traceability of patient information throughout its entire lifecycle. It solves deficiencies in data storage, transmission, and computation in the IoT ecosystem by using encryption technology and smart contracts. This integration provides real-world benefits such as creating tamper-proof documents and building trust between patients and doctors. The research helps improve the security of healthcare systems and highlights the important role of Blockchain in protecting sensitive medical data in the IoT environment.

Development of Smart Software Program for Production and Order Tracking in the Textile Industry

Development of Smart Software Program for Production and Order Tracking in the Textile Industry

Autonomous Trash Tracking System

Our revolutionary waste management project introduces a comprehensive solution leveraging cutting-edge technology to transform traditional waste disposal systems. By integrating a smart mobile application and sensor-equipped trash cans, our initiative aims to streamline the waste disposal process, addressing challenges such as timing issues, accessibility concerns, and data management inefficiencies. The mobile app empowers users with real-time information on bin availability, optimal disposal times, and recycling practices, fostering a sense of responsibility and environmental sustainability among communities. Sensor-equipped trash cans strategically placed in public spaces communicate with the mobile app and municipal waste management systems via the Internet of Things (IoT), providing accurate, up-to-date data on bin statuses. This data-driven approach allows for dynamic optimization of waste collection routes, minimizing operational costs and environmental impact. Furthermore, municipalities can utilize real-time data insights to allocate resources efficiently, schedule maintenance based on usage patterns, and implement targeted educational campaigns. Overall, our technology-driven solution not only enhances efficiency in waste management but also contributes to reducing environmental pollution and promoting sustainable waste disposal practices. Keywords—Smart dustbins, proximity sensors, moisture sensors, App development, software and hardware integration