Software Selection Research Articles

Improvement of the scientific bases of creating means of automation of documentation of devices of railway automation and telemechanics

The scientific principles of improvement of automation information for appliances of automation and telemechanics system consisting of integration of technology of conducting, use of the uniform standard format and reference information, succession of databases of technical documentation information is created. As a result, the possibility of optimal selection and functional completeness of software for monitoring operational and technological processes was created. The principles and methods of building electronic document management systems using the decomposition of the documentation process to a set of elements and their relationships are developed. The system of organization, control and use of technical documents in the field of automation and telemechanics, systematized through the characteristics of the created scenarios and technical documents of device control and their information, is considered.

USAGE OF ACCOUNTING SOFTWARE ON COST CONTROL OF LISTED DEPOSIT MONEY BANKS IN NIGERIA

The ability to implement and maximize the use of accounting software to ensure reliable and efficient cost control among firms have become one of the complex challenges faced by many firms in contemporary business operations. The impact of accounting software on cost control among firms in the service sectors of Nigerian economy using listed deposit money banks was examined in this study. The study employed field survey design, via structured questionnaire administered to 120 respondents in Nigeria’s financial services sector. A total of 107 representing 89.7% were retrieved usable copies. Cronbach’s alpha test showed that the instrument had a value of 0.967 which is greater than 0.70, which implied that the research instrument was reliable. Purposive sampling technique was used for sampling size estimation of the descriptive and inferential statistics while regression analysis was used for the data analysis. The results of the study revealed that accounting software proxied by (software efficiency, software reliability, software easiness, software accuracy and data quality) significantly affected responsibility accounting (R2 = 0.600; F(5, 114) = 32.758; p-value =0.000. as well as activity based costing (R2 = 0.810; F(5, 114) = 91.489; p-value = 0.000). The study therefore concluded that accounting software deployment and implementation has a significant positive impact on cost control in listed deposit money banks. In particular, the study found that software operational easiness and its associated accuracy are the two principal elements that drive cost control effectiveness of listed deposit money banks in Nigeria. Consequently, the study recommended that when considering selection of accounting software for organization-wide deployment and implementation, owners and management of deposit money banks should ensure that software operational easiness and accuracy are used as the primary selection criterion to facilitate cost control effectiveness and by extension optimal revenue returns.

Towards the Development of Emotions through the Use of Augmented Reality for the Improvement of Teaching-Learning Processes

This research aims to determine how the use of Augmented Reality technology propiciates learning achievements through generate emotions in students. The metodology used for development of this research was the selection and application of ARToolKit open-source software, specialized in augmented reality implementation, after that, we implemented a 3D model on the topic “Cell Biology” developed in “Unity3D”. A Likert scale test according to main emotions is applied to a sample of 50 students selected through simple random sampling from a total population of 100 students. The sample is divided into two groups, 25 students for the experimental group and 25 students for the control group. In experimental group, Augmented Reality will be used during three learning sessions. In control group Augmented Reality is not used. In both cases the Likert scale test will be applied after each learning session. At the end of the three learning sessions, a competency-based evaluation is applied according to selected criteria. The results show that 80% of the 25 students in the experimental group improved their academic performance with respect to the control group, which maintained a standard average academic performance of 50%. In conclusion, we can say that the use of Augmented Reality technology in the development of sessions in teaching-learning process, generate emotions in students who are enable to improve their learnings.

Open-Source and Proprietary Library Automation Software: A Comparative Academic Librarian's Perspective

The purpose of this study was to get an understanding of how academic librarians perceive open-source and proprietary library software. The researchers used a survey research approach and a self-constructed questionnaire as data collection tool. The study targeted 103 library professionals working at HEC-recognized degree awarding institutions (DAIs) and universities in Lahore, both public and private sectors, yielding an 84% response rate. To meet research objectives, descriptive and inferential statistics were applied. Study findings explored that library software should have the facility of advanced searching, library standards, and a user-friendly interface. Comparative analysis revealed that open-source library software contains more modules and requires highly skilled employees. On the other hand, human resources with minor skills can use proprietary software. Factors that prevent adopting OSS for academic libraries include a lack of technical support, skilled and motivated library professionals, inadequate cooperation between supervisors and subordinates, and insufficient training opportunities. Experienced library professionals should guide and offer full cooperation in the selection and implementation of software. Library schools and associations should play a decisive role through school curriculum and professional development programs in preparing graduates and practitioners for embracing modern technologies. Open-source software developers should also organize training programs for software users to work independently in libraries.

Optimal Phase-Balancing in Three-Phase Distribution Networks Considering Shunt Reactive Power Compensation with Fixed-Step Capacitor Banks

The black hole optimization (BHO) method is applied in this research to solve the problem of the optimal reactive power compensation with fixed-step capacitor banks in three-phase networks considering the phase-balancing problem simultaneously. A master–slave optimization approach based on the BHO in the master stage considers a discrete codification and the successive approximation power flow method in the slave stage. Two different evaluations are proposed to measure the impact of the shunt reactive power compensation and the phase-balancing strategies. These evaluations include a cascade solution methodology (CSM) approach and a simultaneous solution methodology (SSM). The CSM approach solves the phase-balancing problem in the first stage. This solution is implemented in the distribution network to determine the fixed-step capacitor banks installed in the second stage. In the SSM, both problems are solved using a unique codification vector. Numerical results in the IEEE 8- and IEEE 27-bus systems demonstrate the effectiveness of the proposed solution methodology, where the SSM presents the better numerical results in both test feeders with reductions of about 32.27% and 33.52%, respectively, when compared with the CSM. To validate all the numerical achievements in the MATLAB programming environment, the DIgSILENT software was used for making cross-validations. Note that the selection of the DIgISLENT software is based on its wide recognition in the scientific literature and industry for making quasi-experimental validations as a previous stage to the physical implementation of any grid intervention in power and distribution networks.

Machine learning computational tools to assist the performance of systematic reviews: A mapping review

BackgroundWithin evidence-based practice (EBP), systematic reviews (SR) are considered the highest level of evidence in that they summarize the best available research and describe the progress in a determined field. Due its methodology, SR require significant time and resources to be performed; they also require repetitive steps that may introduce biases and human errors. Machine learning (ML) algorithms therefore present a promising alternative and a potential game changer to speed up and automate the SR process. This review aims to map the current availability of computational tools that use ML techniques to assist in the performance of SR, and to support authors in the selection of the right software for the performance of evidence synthesis.MethodsThe mapping review was based on comprehensive searches in electronic databases and software repositories to obtain relevant literature and records, followed by screening for eligibility based on titles, abstracts, and full text by two reviewers. The data extraction consisted of listing and extracting the name and basic characteristics of the included tools, for example a tool’s applicability to the various SR stages, pricing options, open-source availability, and type of software. These tools were classified and graphically represented to facilitate the description of our findings.ResultsA total of 9653 studies and 585 records were obtained from the structured searches performed on selected bibliometric databases and software repositories respectively. After screening, a total of 119 descriptions from publications and records allowed us to identify 63 tools that assist the SR process using ML techniques.ConclusionsThis review provides a high-quality map of currently available ML software to assist the performance of SR. ML algorithms are arguably one of the best techniques at present for the automation of SR. The most promising tools were easily accessible and included a high number of user-friendly features permitting the automation of SR and other kinds of evidence synthesis reviews.

Exploring facilitators of the implementation of electronic health records in Saudi Arabia

IntroductionThe introduction of information technology was one of the key priorities for policy-makers in health care organisations over the last two decades due to the potential benefits of this technology to improve health care services and quality. However, approximately 50% of those projects failed to achieve their intended aims. This was a result of several factors, including the cost of these projects. The Saudi Ministry of Health (MoH) planned to implement an electronic health record system (EHRS) in approximately 2100 primary health care centres nationwide. It was acknowledged that this project may face hurdles, which might result in the failure of the project if implementation facilitators were not first determined. According to the Saudi MoH, previous electronic health record system implementation in primary health care centres failed as a consequence of several barriers, such as poor infrastructure, lack of connectivity and lack of interoperability. However, the facilitators of successful electronic health record system implementation in Saudi primary health care centres are not understood.AimTo determine the facilitators that enhance the success of the implementation of an EHRS in public primary health care centres in SA.MethodA mixed methods approach was used with both qualitative and quantitative methods (qualitative using semistructured interviews and quantitative with a closed survey). The purpose of the utilisation of exploratory mixed methods was to identify a wide range of facilitators that may influence EHRS implementation. The data were obtained from two different perspectives, primary health care centre practitioners and project team members. A total of 351 practitioners from 21 primary health care centres participated in the online survey, and 14 key informants at the Saudi Ministry of Health who were directly involved in the electronic health record system implementation in the primary health care centres agreed to be interviewed face to face.ResultsThe findings from both studies revealed several facilitators. Among these facilitators, financial resources were found to be the most influential factor that assisted in overcoming some barriers, such as software selection. The size of the primary health care centres was the second facilitator of successful implementation, despite the scale of the project. Perceived usefulness was another facilitator identified in both the interviews and the survey. More than 90% of the participants thought that the electronic health record system was useful and could contribute to improving the quality of health care services. While a high level of satisfaction was expressed towards the electronic health record system’s usability and efficiency, low levels of satisfaction were recorded for organisational factors such as user involvement, training and support. Hence, system usability and efficiency were documented to be other facilitators of successful electronic health record system implementation in Saudi primary health care centres.ConclusionThe findings of the present study suggest that sufficient financial support is essential to enhance the success of electronic health record system implementation despite the scale of the project. Additionally, effective leadership and project management are core factors to overcome many obstacles and ensure the success of large-scale projects.

Analysis of Enterprise Resource Planning system using VIKOR Method

Enterprise Resource Planning (ERP) When implementing settings, most of the companies faced some problems, one of them is their requirements and how to decide the best ERP software that meets expectations Choosing Best Custom ERP Software has been around for a long time an important issue, Because the wrongly selected ERP software requires time and A company’s expenses and Impact on market share. On the other hand, ERP software selection is Several criteria are used to make the decision MCDM Problems in literature, to assess this type of problem Several methods have been intro-duced, one of them is Analytical Hierarchy Process (AHP), It is widely used in MCDM selection problems. COPRAS (Complex Proportionality Assessment) and Based on the concepts of AHP (Analytic Hierarchy Process). A new fuzzy MCDM method is proposed to evaluate the potential maintenance strategy. To estimate ratings and weights Linguistic terms are used. Fuzzy AHP estimation used to calculate the weights of criteria; then, fuzzy set theory and A ranking of al-ternatives is calculated based on COPRAS. The COPRAS method using for Enterprise Resource Planning (ERP) soft-ware selection. It includes General System Specifications (GSS), Manufacturing Module (PM), Financial Management Module (FMM), Quality Management Module (QMM), Sales and Distribution Module (SDM), Maintenance Manage-ment Module (MMM), We are taken erp, risk, quality, effectiveness, efficiency, user satisfaction, best, worst is alterna-tives. We are taken corporate vision, technology and system architecture, product functionality, service and support are evaluation parameter. Alternative: ERP, Risk, Quality, effectiveness, Efficiency, User satisfaction. Evaluation Preference: Corporate vision, Technology and system architecture, Product functionality, Service and support. In this from analysis VIKOR method is the most ideal solution Short-distance and negative-best The solution with the longest distance from the solution Determines, but the comparison of these distances Does not consider importance. From the result it is seen that ERP is got the first rank where as is the Effectiveness is having the lowest rank.

Creative Economy: A Worldwide Research in Business, Management and Accounting

Due to its adaptability in being relevant to the economies of different countries, industries, and research fields, the creative economy (CE), a driving force behind the national economy for sustainable development, has recently garnered the attention of the academic community. This research examines the intellectual structure of this field using the Scopus database in the subject area of business, management and accounting. This study uses bibliometric analysis, a cutting-edge and rigorous technique for the exploration of scientific data. The employed methodology entails an organized and open procedure broken down into four phases: (1) search criteria; (2) selection of database and documents; (3) selection of software and data pre-processing; and (4) analysis of results. We use two approaches to learn about their structure by evaluating performance and observing their various connections through bibliometric mapping. The findings indicate that the creative economy is a burgeoning area of research, with 687 articles, 1340 authors, and 64 nations represented. In addition, the creative economy, the cultural industry, human capital, management, entrepreneurship, and business models are research topics. This study has several implications because it offers an up-to-date and comprehensive overview of the trends in this topic, making it a helpful tool for researchers. It also identifies gaps in the literature that lead to possible lines of investigation in future studies.

A systematic literature review on trust in the software ecosystem

The worldwide software ecosystem is a trust-rich part of the world. Throughout the software life cycle, software engineers, end-users, and other stakeholders collaboratively place their trust in major hubs in the ecosystem, such as package managers, repository services, and software components. However, as our reliance on software grows, this trust is frequently violated by bad actors and crippling vulnerabilities in the software supply chain. This study aims to define software trust in the worldwide SECO, that is, to determine what signifies a trustworthy system, actor, or hub. We conduct a systematic literature review on the concept of trust in the software ecosystem. We acknowledge that trust is something between two actors in the software ecosystem, and we examine what role trust plays in the relationships between end-users and (1) software products, (2) package managers, (3) software producing organizations, and (4) software engineers. Two major findings emerged from the systematic literature review. To begin, we define trust in the software ecosystem by examining the definition and characteristics of trust. Second, we provide a list of trust factors that can be used to assemble an overview of software trust. Trust is critical in the communication between actors in the worldwide software ecosystem, particularly regarding software selection and evaluation. With this comprehensive overview of trust, software engineering researchers have a new foundation to understand and use trust to create a trustworthy software ecosystem.

EDUCATORS' PERSPECTIVES ON THE APPROPRIATENESS OF TECHNOLOGY INTRODUCTION PRACTICES FOR EARLY CHILDHOOD CHILDREN THROUGH THEIR CREATIVE THINKING APPROACH

Technology is widely recognized as an important factor in early childhood education and can play an important role in the education of young children. To make effective use of technology in young children's learning, the extent to which, how, and when digital media are integrated is important. Reflecting on how children discover uses of technology helped professionals to question the purpose of ICT and to formulate, reflect, define, reflect, and ensure changes in pedagogy. This study explores the potential technology learning practices that prospective educators would choose to introduce early childhood children to the use of technology through their creative thinking approach. Based on the research findings, it is clear how future educators will attempt to introduce children to the use of technology. 519 prospective educators participated in the survey as part of their studies at the Faculty of Early Childhood Education and Care in Greece. The prospective educators seem to prefer teaching methods that give the child room for initiative and self-activity. On the contrary, the more traditional methods exploited to teach the use of digital media do not seem to be the most effective in the long run, as the trainee educators do not seem to believe in their effectiveness. Of particular interest is the observation that the selection of software to promote creativity correlates positively with didactic practices of self-discovery. This is a research indicator that examines and analyzes the methods that future educators believe to be more effective, suggesting that these methods will be used in the future because they are professionals who have a critical impact on the education and care of children in early childhood.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0261/a.php" alt="Hit counter" /></p>

A study of the classification and main functions of BIM software

This paper starts by studying the seven characteristics of BIM and the essential functions of BIM software and divides BIM software into three categories, modelling software, functional software, and platform software. The definitions and basic applicable requirements of the three classifications of software are given, the detailed functions of the commonly used software in the three classifications are introduced, and the classification of commonly used BIM software in China is summarized to solve the problem of correct selection of BIM software in practical applications by engineers and technicians, and to facilitate the understanding and learning of relevant BIM software by engineers.

Selection of ERP system and the best practice by hybrid method: A case study of Thai automotive supply chain network

Enterprise Resource Planning (ERP) gives an organization a competitive edge by centralizing organization data and collaborating among supply chain networks. There are many types of software packages available, so most of the research proposed methods for prioritizing the best system. However, they did not suggest how to implement it, or which practices should be employed. So, this paper aims to propose a framework and a method for the selection of an ERP system and the best practice for implementation at the same time. A hybrid method of Logarithmic Fuzzy Preference Programming (LFPP) and Decision-Making Trial and Evaluation Laboratory (DEMATEL) is presented for solving the problem. LFPP is reliable in obtaining weights, while DEMATEL can capture interrelationships between practices. It was applied to a case study supply chain network of a Thai automotive parts manufacturer to demonstrate the applicability; it could establish the priorities of criteria, rank alternatives, and select the appropriate practices at the same time. There is no study about software and practice selection by use of this proposed method before. The comparison of LFPP and the Fuzzy Full Consistency Method (FUCOM-F) was also performed. It shows that FUCOM-F uses a smaller number of pairwise comparisons than LFPP, but the obtained weights of LFPP are more consistent with the evaluation matrix than using FUCOM-F.

Digitalization of climate adaptation planning: the potential of simulation software tools for landscape design

Climate change plays a significant role in the landscape architecture discipline seeking to solve the problems related to floods and heatwaves. Climate adaptation planning deals with a high level of uncertainty while precipitating future climate events to prepare adaptable landscape designs. However, digital technologies are rarely implemented into landscape design projects with deep environmental concerns. Meanwhile, digital tools have the potential to improve climate adaptation planning while calculating and simulating the adaptive capacity of design. Therefore, this research investigates the capabilities and limitations of software tools suitable for climate adaptation projects. The software tools are evaluated using the ISO 25010 framework comparing their capabilities. The main method used for this research is based on objective experiments while implementing different software tools to conceptual landscape design on a case study project. The experiment revealed that the implementation process deals with many limitations including interoperability and data loss. Moreover, this research conducted in-depth interviews with project stakeholders including planners and clients to identify their problems, needs and expectations regarding software tools. Finally, the roadmap on the software selection resulting from this research provides the guidelines on how to select the most suitable tool for various climate adaptation projects.

Management of the longwall face advance on the stress-strain state of rock mass

Purpose is to study influence of a longwall face advance on the geomechanical situation in the neighbourhood of a mining site based upon determination of changes in standard and critical subsidence of the immediate roof rocks. Methods. To study a geomechanical situation in the neighbourhood of a mining site the authors have applied software product GeoDenamics Lite developed at Dnipro University of Technology. The software product relies upon a calculation procedure of stress-strain state of rocks by Professor O.V. Savostianov. Expediency of the software selection is based upon the supported control and adaptation of a coal mining technique to changes in geodynamic stress fields in the anisotropic rock-coal medium impacting temporal and spatial changes in the technological parameters. Findings. The basic problems have been singled out connected with certain changes in a longwall face advance. For the first time, an analytical scheme of tangential stresses within the immediate roof rocks has been developed for Lisova mine of SE Lvivvuhillia under the conditions of coal seam mining by means of the paired longwalls which makes it possible to determine both physical and geometrical parameters of standard loads within the formation. Originality. Dependencies of temporal and spatial changes in subsidences and horizontal displacements of rock layers of the immediate roof have been defined being 5.2 m for the upper rock pack and 3.9 m for the lower pack if the longwall longwall face advance is 1.9 up to 4.8 m/day. Both physical and geometrical parameters of the reference pressure have been defined as well as the parameters of lower sandstone pack in the process of the main roof subsidence. Impact of the extra pressure forces on the immediate roof rocks has been analyzed at the moment of critical lowerings of the immediate roof rocks. In this context, standard loading from the overlying formation in addition to tangential stresses in the roof result in rock failure due to vertical cracks above a longwall face. Practical implications. The engineering methods have been developed making it possible to identify impact parameters of a longwall face advance on the geomechanical situation in the neighbourhood of a mining site. In future, it will help forecast changes in the reference pressure around a longwall face while preventing emergency settlement of the powered support.

Digital data transformation: optimizing CGT processes and accelerating scale-up & tech transfer for manufacturing success

Bridging the data gap between R&D and manufacturing with purpose-built softwareBest practices on using technology to ensure highly complex CGT processes are successfully replicated and controlledEstablishing reasonable expectations for data visibility and sharing in sponsor/CMO relationshipsIdentifying the right time to build a digital data strategy and key IT requirements when choosing a software platformTeodor has 14 years of expertise as a scientist in biotech process development, design, optimization, and validation. His successful track record building and managing technology roadmaps for GMP manufacturing, including software selection, qualification, and implementation, position him as a respected advisor on maximizing operational efficiency to accelerate scale-up, tech transfer, and commercial release. Before joining IDBS, Teo served as Process Development Scientist at Emergent BioSolutions, where he led science and technology for a newly developed orphan disease vaccine. Previously at Merck Healthcare, his roles spanned Bioprocess Development Scientist and Compliance Specialist for Downstream Processing. Teo holds a BS in Biomedical Engineering from Yale University and an MS in Biotechnology and Bioengineering from EPFL (Swiss Federal Institute of Bioengineering).

SUBSTANTIATION OF SOFTWARE FOR AUTOMATION OF ACCOUNTING AT THE YALTUSHKIVSKA EXPERIMENTAL BREEDING STATION OF THE INSTITUTE OF BIOENERGY CROPS AND SUGAR BEETS OF THE NATIONAL ACADEMY OF AGRARIAN SCIENCES OF UKRAINE

The article presents a qualitative assessment of the current accounting system at the enterprises of the Institute of Bioenergy Crops and Sugar Beets of NAAS of Ukraine on the example of Yaltushkiv Experimental Breeding Station. It has been found that in recent decades, digital transformation has become relevant not only at the enterprise level, but also at the level of individual sectors of the economy and even the state. It is designed to simplify the work with large data sets, automate almost all activities, improve the interaction of citizens with the state, customers with companies, enterprises and the state as a whole. Peculiarities of the introduction of the modern information technologies for conducting automated accounting at enterprises are investigated. The characteristics of modern software products on the domestic market are given, which allowed to make proposals for the selection of software for automation of accounting at ESIC «Ukrainian Scientific-Educational Consortium» (Yaltushkiv Experimental Breeding Station of the Institute of Bioenergy Crops and Sugar Beets NAAS of Ukraine) in favor of BAS «Accounting». The importance of the automated form of accounting, which optimizes the work of the accounting department, will ensure the maximum savings of working time, the highest productivity and most importantly – information security of the enterprise. It is noted that the human factor also plays an important role in the development of the digitalization system, as special attention needs to be paid to continuous staff improvement, development and skills development. Prospects for the use of the domestic software products, which are the basis for creating a highly organized environment, where at a new, high quality level, will be able to conduct daily operations and monitor and analyze the state of the enterprise, which will allow to make the science-based management decisions.

Business Intelligence’s Self-Service Tools Evaluation

The software selection process in the context of a big company is not an easy task. In the Business Intelligence area, this decision is critical, since the resources needed to implement the tool are huge and imply the participation of all organization actors. We propose to adopt the systemic quality model to perform a neutral comparison between four business intelligence self-service tools. To assess the quality, we consider eight characteristics and eighty-two metrics. We built a methodology to evaluate self-service BI tools, adapting the systemic quality model. As an example, we evaluated four tools that were selected from all business intelligence platforms, following a rigorous methodology. Through the assessment, we obtained two tools with the maximum quality level. To obtain the differences between them, we were more restrictive increasing the level of satisfaction. Finally, we got a unique tool with the maximum quality level, while the other one was rejected according to the rules established in the methodology. The methodology works well for this type of software, helping in the detailed analysis and neutral selection of the final software to be used for the implementation.

Online Loan Default Prediction Model Based on Deep Learning Neural Network.

With the rapid development of Internet loans and the demand for Internet loans, Internet-based loan default prediction is particularly important. P2P online lending is based on Internet technology. With the popularization of personal PCs and mobile terminals, the borrower's financing cost has been reduced to a large extent, and the efficiency of the borrower's capital utilization has also been improved to a considerable level. Making full use of the existing data of the online lending platform, integrating third-party data, and predicting the default behavior of users are the major directions of future development. This paper mainly studies the network loan default prediction model based on DPNN. This paper first analyzes the problems and risks of the P2P online lending platform, then introduces the principle and characteristics of BPNN in detail, and determines the credit risk rating process for online lending based on BPNN. With the help of data analysis and processing software, after cleaning and variable selection of credit customer data provided by lending clubs, a set of corresponding online lending default risk assessment models are established through BPNN. This paper simulates the network loan default assessment model of the BPNN model and compares it with the support vector machine and regression model. The experimental results show that the highest accuracy rate of the BPNN model is 98.01% and the highest recall rate is 99.82%, which is better than the other two models; the AUC value of BPNN is 0.79, which is significantly higher than that of support vector machine and regression model. The above results show that the online loan default prediction model based on DPNN has high application value in practice. Predicting the probability of customer default risk in advance will help reduce the risk of P2P companies and lenders, improve the competitiveness of P2P lending institutions, and promote the development of domestic P2P platforms to be more stable.

Avoiding Algorithm Error in Computer-Aided Text Analysis: Selecting Text Analysis Software

The use of computer-aided text analysis as a tool to quantify qualitative information continues to grow in management research. Academia increasingly develops guiding principles that aid scholars in addressing reliability and validity issues. However, there is little guidance in selecting a proper software solution that aligns the features of the software with the features of the underlying construct. Further guidelines are particularly relevant because computer-aided text analysis is highly software dependent. This paper demonstrates a systematic software selection process using two illustrative constructs: a theoretically complex construct (value- based management sophistication) and a more straightforward construct (firm’s future orientation). The paper develops generalizable principles for selecting proper software solutions. After reviewing relevant literature, this paper compares the algorithmic proximity of frequently applied software solutions in management research, performing analysis of variance and convergent validity analysis. The results demonstrate that the algorithmic performance depends on the construct type. The analysis of variance indicates statistically significant differences in mean values between various software solutions. However, these differences do not lead to substantial deviations in convergent validity results between the applied software solutions. This paper contributes to the literature by assisting scholars in choosing a proper software solution when conducting computer-aided text analysis.