Search results

Software defect prediction (SDP) is a critical aspect of software quality assurance, aiming to identify and manage potential defects in software systems. In this paper, we have proposed a novel hybrid approach that combines Gray Wolf Optimization with Feature Selection (GWOFS) and multilayer perceptron (MLP) for SDP. The GWOFS-MLP hybrid model is designed to optimize feature selection, ultimately enhancing the accuracy and efficiency of SDP. Gray Wolf Optimization, inspired by the social hierarchy and hunting behavior of gray wolves, is employed to select a subset of relevant features from an extensive pool of potential predictors. This study investigates the key challenges that traditional SDP approaches encounter and proposes promising solutions to overcome time complexity and the curse of the dimensionality reduction problem.

The integration of GWOFS and MLP results in a robust hybrid model that can adapt to diverse software datasets. This feature selection process harnesses the cooperative hunting behavior of wolves, allowing for the exploration of critical feature combinations. The selected features are then fed into an MLP, a powerful artificial neural network (ANN) known for its capability to learn intricate patterns within software metrics. MLP serves as the predictive engine, utilizing the curated feature set to model and classify software defects accurately.

The performance evaluation of the GWOFS-MLP hybrid model on a real-world software defect dataset demonstrates its effectiveness. The model achieves a remarkable training accuracy of 97.69% and a testing accuracy of 97.99%. Additionally, the receiver operating characteristic area under the curve (ROC-AUC) score of 0.89 highlights the model’s ability to discriminate between defective and defect-free software components.

Experimental implementations using machine learning-based techniques with feature reduction are conducted to validate the proposed solutions. The goal is to enhance SDP’s accuracy, relevance and efficiency, ultimately improving software quality assurance processes. The confusion matrix further illustrates the model’s performance, with only a small number of false positives and false negatives.

Multinational business deliver value via multiple sites with similar operational capacities. The age of the Fourth Industrial Revolution (4IR) delivers significant opportunities for the deployment of digital tools for business optimization. Therefore, this study aims to study the Industry 4.0 implementation for multinationals.

The key objective of this research is multi-site systems integration using a reproducible, modular and standardized “Cyber Physical System (CPS) as-a-Service”.

A best practice reference architecture is adopted to guide the design and delivery of a pioneering CPS multi-site deployment. The CPS deployed is a cloud-based platform adopted to enable all manufacturing areas within a multinational energy and petrochemical company. A methodology is developed to quantify the system environmental and sustainability benefits focusing on reduced carbon dioxide (CO₂) emissions and energy consumption. These results demonstrate the benefits of standardization, replication and digital enablement for multinational businesses.

The research illustrates the ability to design a single system, reproducible for multiple sites. This research also illustrates the beneficial impact of system reuse due to reduced environmental impact from lower CO₂ emissions and energy consumption. The paper assists organizations in deploying complex systems while addressing multinational systems implementation constraints and standardization.

The purpose of this paper is to provide a comprehensive review of a non-contact full-field optical measurement technique known as digital image correlation (DIC).

The approach of this review paper is to introduce the research pertaining to DIC. It comprehensively covers crucial facets including its principles, historical development, core challenges, current research status and practical applications. Additionally, it delves into unresolved issues and outlines future research objectives.

The findings of this review encompass essential aspects of DIC, including core issues like the subpixel registration algorithm, camera calibration, measurement of surface deformation in 3D complex structures and applications in ultra-high-temperature settings. Additionally, the review presents the prevailing strategies for addressing these challenges, the most recent advancements in DIC applications across quasi-static, dynamic, ultra-high-temperature, large-scale and micro-scale engineering domains, along with key directions for future research endeavors.

This review holds a substantial value as it furnishes a comprehensive and in-depth introduction to DIC, while also spotlighting its prospective applications.

The purpose of this paper is to establish a supported and validated reference point for Machiavellianism as an antecedent to the contemporary management philosophy of business process reengineering (BPR).

This paper analyzes BPR and Machiavellianism by using the seminal work of Hammer and Champy (1993) on BPR and the original writings of Machiavelli coupled with the personal correspondence of Machiavelli with his contemporaries.

The findings of this research indicate that the constructs of Machiavellian thought transcend the five centuries since the publication of The Prince, and can be found in the contemporary managerial framework of BPR. This comparison of historical leadership frameworks demonstrates how recent management decisions in companies show the rise of Machiavellian as BPR. In an analysis of these theories, the authors show similarities in five significant tenets of business leadership and argue how these repackaged ideas and prescriptions undermine employee-centric advances.

This comparison reviews the managerial frameworks presented in Machiavelli’s The Prince and Hammer and Champy’s book Reengineering the Corporation through the theoretical tenets of leadership.

Employment of Machiavellianism and BPR results in an expendable utilization of followers and employees. Implications abound for modern managers, as the authors emphasize the elements and outcomes which lead to deleterious organizational outcomes.

In an analysis of these theories, the authors argue how these strategies undermine employee-centric advances within human relations by embracing these repackaged ideas and concepts.

This research leverages historical perspective to provide a qualitative understanding of the follies of recycled versions of Machiavelli’s ideas. The overall study and inquiry of BPR from a leadership perspective is not robust and leaves antecedents and influences critically unevaluated.

Job embeddedness is considered crucial for organizational success, as it promotes social capital and helps to reduce turnover. A holistic review of job embeddedness remains elusive despite gaining researchers' and practitioners' attention. Therefore, this study aims to synthesize the past literature to understand the concepts and emerging themes in the domain. Further, it helps identify future research avenues and proposes a comprehensive conceptual framework.

The study used bibliographic data of 263 Scopus-indexed publications from inception, i.e. 2001 to 2021, which were subsequently analyzed using diverse bibliometric and content analysis (TCCM) framework and software like Microsoft Excel, Vosviewer and “Biblioshiny” package in R language.

The study analyzes the domain via performance analysis which sheds light on the increasing publication trends and different significant contributors (authors, publications, countries, journals and universities). Science mapping techniques such as keyword analysis identifies author keyword evolution and trends. The content analysis showcases the dominance of diverse psychological theories applied in the domain. Also, the bibliographic-coupling analysis highlights major clusters and associated research publications. The study provides future research avenues, followed by a conceptual framework highlighting the antecedents, moderators and outcomes of job embeddedness.

This study is the first bibliometric and content analysis exploring job embeddedness and will aid in developing a comprehensive understanding of the research topic.

Due to the enormous increase in economic development, structural steel material gives an advantage for the construction of stadiums, factories, bridges and cities building design. The purpose of this study is to investigate the behaviour of bending, buckling and torsion for I-beam steel section with and without web opening using non-linear finite element analysis.

The control model was simulated via LUSAS software with the four main parameters which included opening size, layout, shape and orientation. The analysis used a constant beam span which is 3.5 m while the edge distance from the centre of the opening to the edge of the beam is kept constant at 250 mm at each end.

The analysis results show that the optimum opening size obtained is 0.65 D while optimum layout of opening is Layout 1 with nine web openings. Under bending behaviour, steel section with octagon shapes of web opening shows the highest yield load, yield moment and thus highest structural efficiency as compared to other shapes of openings. Besides, square shape of web opening has the highest structural efficiency under buckling behaviour. The lower buckling load and buckling moment contribute to the higher structural efficiency.

Further, the square web opening with counter clockwise has the highest structural efficiency under torsion behaviour.

Small- and medium-sized enterprises (SMEs) carry huge economic importance worldwide. At the same time, SMEs face specific challenges, some of which may be alleviated by employing accountants. However, research on the role and impact of accountants in SMEs has long remained fragmented and scarce. This paper aims to encourage more research on accountants in SMEs by providing the first comprehensive and systematic review of relevant research.

Based on systematic review methods, the authors critically examine 68 research articles dealing with accountants in SMEs.

The review identifies three dominant roles for accountants in SMEs: providers of reporting services, sources of SME owners’ self-validation and translators between capital providers and SMEs and advisors. Implicitly, many studies assume a value-enhancing effect of employing accountants in SMEs regardless of these specific roles. At the same time, available studies seldom make use of existing theoretical frameworks to more closely analyze the value-enhancing potential of human resources such as accountants. The authors, thus, propose the resource-based view as a robust theoretical framework to improve theory building in research on accountants in SMEs.

To the best of the authors’ knowledge, this paper is the first systematic review of accountants in SMEs. In addition, the authors develop a resource-based model on accountants in SMEs to guide future research on this topic.

There is a growing interest in the use of HR-based Industry 4.0 technologies for equality, diversity, and inclusion (EDI) issues yet the emerging trends of Industry 4.0 in EDI implementations and interventions are not fully covered. This chapter investigates the emerging themes regarding EDI and Industry 4.0 interaction through Google-based big data that show the actual interest in Industry 4.0 and EDI. Drawing on a web analytics method that tracks the real click behaviours of web users through querying combined sets of keywords, the study explores the trends and interactions between Industry 4.0 technologies and EDI-related HR practices. Our search engine results page (SERP) analyses find a high volume of queries and a significant interest between EDI elements and artificial intelligence (AI) only. In contrast to the suggestions of the extant literature, no significant user interest in other Industry 4.0 applications for EDI implementations was observed. The authors suggest that other Industry 4.0 technologies such as machine learning (ML) and natural language processing (NLP) for EDI implementations are in their early stages.

This study aims to discover how domain familiarity and language affect the cognitive load and the strategies applied for the evaluation of search engine results pages (SERP).

This study used an experimental research design. The pattern of the experiment was based upon repeated measures design. Each student was given four SERPs varying in two dimensions: language and content. The criteria of students to decide on the three best links within the SERP, the reasoning behind their selection, and their perceived cognitive load of the given task were the repeated measures collected from each participant.

The evaluation criteria changed according to the language and task type. The cognitive load was reported higher when the content was presented in English or when the content was academic. Regarding the search strategies, a majority of students trusted familiar sources or relied on keywords they found in the short description of the links. A qualitative analysis showed that students can be grouped into different types according to the reasons they stated for their choices. Source seeker, keyword seeker and specific information seeker were the most common types observed.

This study has an international scope with regard to data collection. Moreover, the tasks and findings contribute to the literature on information literacy.

This study aims to fill several gaps in the literature. First, it examines the Umrah industry from the supply side, investigating the pivotal factors for travel agencies’ performance. Second, it empirically investigates service leaders’ competencies specific to the hospital and tourism industry. Third, it clarifies whether there is a direct impact of organisational service orientation on business performance. Fourth, it explores the influence of network capabilities in a service context, specifically in travel agencies, which has rarely been discussed.

This is a mixed-method study with sequential explanatory research design. First, a quantitative approach was conducted with 150 authorised travel agencies in Indonesia, with two manager-level employees representing each agency. The data were analysed using descriptive statistics and structural equation modelling. A qualitative study was conducted to enrich the findings by interviewing the Director of Umrah and Hajj Development of the Ministry of Religious Affairs of the Republic of Indonesia and three other respondents.

Service leaders’ competencies and resource capacity significantly influence organisational service orientation, leading to enhanced perceived service quality and performance. In addition, resource capacity influences network capabilities, improving performance.

This study identifies factors affecting the performance of Umrah travel agencies in an intensely competitive environment, which has rarely been discussed. This sheds light on how travel agencies can survive and succeed in this competitive industry. Moreover, this study provides evidence regarding the role of network capabilities in the tourism industry and the impact of organisational service orientation, both directly and indirectly, on performance.