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Examines management development requirements in small companies within the software industry, and suggests that firms′ effectiveness in this sector in the long term requires the presence of a significant proportion of managers who can demonstrate both managerial and technical expertise. Based on the findings from a study of training practices and management development needs within 24 software firms in Northern Ireland. The training needs identified are the building blocks which are being used to design a suite of post‐experience courses for middle managers in the software sector in Northern Ireland. It is hoped that the framework adopted will be useful to other training providers who are considering training provision on a sectorial basis.

The aim of this paper is to present a holistic approach to training, that clearly demonstrates cost savings with improved effectiveness and efficiencies that are aligned to business objectives.

Extending Kirkpatrick's evaluation framework with Phillips's return‐on‐investment (ROI) concepts, the paper conveys a number of successes; including trainee satisfaction and the capturing of improved knowledge and skills.

The paper includes case studies of how, and to what extent this knowledge has been applied with examples of resulting efficiency savings. The paper shows that there is growing agreement that one of the primary drivers, if not the key driver of long‐term organisational effectiveness, is the ability of an organisation to learn effectively. The methodology requires some additional assessment and course preparation to establish a basis from which to demonstrate learning effectiveness. The financial benefits of the applied learning are far greater than the additional preparatory costs.

Learning organisations that anticipate, react to change and learn, are likely to maintain a competitive advantage. These organisations are constantly looking for more effective and efficient ways of training. Paradoxically, other organisations will often slash training budgets in times of hardship, as training departments are unable to demonstrate the effectiveness of their programmes.

The paper presents a practical example of how training should be applied to truly demonstrate its value in the workplace

The purpose of this study is a bibliometric and descriptive review of the literature on instruction planning of training offered in the e-learning modality in work corporations to identify methodologies and experiences that will serve as a model for professionals working in planning e-learning training in the corporate context.

The timeline from 2010 to 2020 was adopted. Data were extracted from five databases and were compiled in the software Zotero. Based on defined criteria, 260 productions were identified. The interrelation and metric presentation of the data from these studies were done in the software VosViewer. Subsequently, were selected only free access papers, resulting in 64 publications. From these, the authors chose six empirical studies for a descriptive analysis based on specific criteria.

The range of hardware and software platforms has stimulated the use of virtual reality (VR) and augmented reality and artificial intelligence (AI) resources in corporative training. The use of management tools such as voice of customer (VOC) and quality function deployment (QFD), can support those responsible for instructional planning. The literature presented important elements that should be considered for the proper planning of an e-learning training: learner: feedback, control of self-learning process, classification of cultural profiles in the case of courses in which participants are geographically distant and training management: content and delivery mode of instruction.

The authors selected six empirical studies that presented models, systems or experiences on training planning to support decisions in this area. This study contributes to the area of T&D showing an updated context of practices for the implementation of training systems that have been adopted in several countries. The authors present quantitative indicators of scientific production using two additional software to support the bibliometric review, namely, Zotero and VosViewer. This study used five databases and a research equation to systematically present the current panorama of research on training planning from the perspective of the areas of management and organizational psychology.

Part 1 described the growth in end‐user computing and the problems which it presents for training and general computer literacy, highlighting a number of elements necessary to achieve a basic level of computer literacy, i.e. awareness, skill and knowledge. Part 2 explores a number of other important issues. Specifically, focuses on learning style and end‐user training and proposes a general training model. Outlines a case‐study of end‐user computing in an academic environment.

The main purpose of this work is a bibliometric and descriptive review of the literature on instruction planning of training offered in the e-learning modality in work corporations to identify methodologies and experiences that will serve as a model for professionals working in planning e-learning training in the corporate context.

The timeline from 2010 to 2020 was adopted. Data were extracted from five databases and were compiled in the software Zotero. Based on defined criteria, 260 productions were identified. The interrelation and metric presentation of the data from these studies were done in the software VosViewer. Subsequently, were selected only free access papers, resulting in 64 publications. From these, we chose 6 empirical studies for a descriptive analysis based on specific criteria.

The range of hardware and software platforms has stimulated the use of virtual reality (VR) and augmented reality (AR) and artificial intelligence (AI) resources in corporative training. The use of management tools, such as Voice of Customer (VOC) and Quality Function Deployment (QFD), can support those responsible for instructional planning. The literature presented important elements that should be considered for the proper planning of an e-Learning training: learner: feedback, control of self-learning process, classification of cultural profiles in the case of courses in which participants are geographically distant and training management: content and delivery mode of instruction.

We selected 6 empirical studies that presented models, systems or experiences on training planning to support decisions in this area. This article contributes to the area of T&D showing an updated context of practices for the implementation of training systems that have been adopted in several countries. We present quantitative indicators of scientific production using two additional software to support the bibliometric review: Zotero and VosViewer. This article used five databases and a research equation to systematically present the current panorama of research on training planning from the perspective of the areas of management and organizational psychology.

The purpose of this paper is to look at how customer input was used in a front‐end needs assessment to formulate a training package that covered the necessary elements of product use, and how the training material was presented in a manner best suited for the trainees and their perceived needs.

A quasi‐experimental study was designed to compare the number of help desk calls for groups trained using the needs‐based training approach with the number of help desk calls from the most recent training groups that were trained with the standard training package.

Groups trained using a training package developed around their initial perceived needs had significantly fewer help desk calls than those who received the standard training. The number of help desk calls was reduced by over 75 percent from previous training sessions.

Verification of transfer of training in other applications, with other products and other learner groups, would further validate that the needs‐based training approach is more effective.

All reasonable effort that can lead to more effective training will improve the customer's overall perception of the organization and will contribute to customer retention. Both customer satisfaction and retention are critical elements in the ongoing success of any company.

The demonstration of effectiveness and the utilization of assessment data for continuous improvement may have both practical and legal implications for the future; including enhancing customer satisfaction and retention, and reducing the likelihood of successful legal claims for negligence, particularly negligent training.

Discusses the problems of trying to match the information systems learning needs of small and medium sized enterprises (SMEs) to what higher education can offer. Most higher education institutions are directly trying to address the training needs of SMEs, spurred on by various Government initiatives. Much of the available funding is targeted at the introduction and development of new technologies in SMEs. The information systems education and training requirements of SMEs are reviewed and examined against the changing face of Higher Education. A series of studies was undertaken to examine the information systems learning needs of a small number of diverse SMEs. The results of these studies are discussed and compared with the outcomes of previous research into learning in SMEs and similarities and dissonances highlighted. The paper concludes with a discussion as to whether higher education can meet some of the information systems learning needs of SMEs.

The purpose of this paper is to test the existing theoretical argument that the Indian software industry is a case of uneven and combined development by examining the workforce.

The paper is based on a survey conducted in two software organizations located in Bangalore. Data were collected through a combination of quantitative (114 questionnaires) and qualitative methods (62 semi‐structured interviews). Respondents were selected randomly from the work floor.

The paper observes that the workforce is uneven in nature and directly integrated with the global market. The workforce appears homogeneous. A typical software worker in India is a young male; hails from an urban and a semi‐urban locality; follows Hinduism, and belongs to the upper socio‐economic stratum of Indian society. He holds an undergraduate engineering degree, not necessarily in computer science, from a second‐grade educational institution. He is trained by the employers as per the needs of the Western market, and works for longer hours than required. He earns more than his counterparts in the other industries, and is promoted periodically based on work experience.

The paper suggests that Indian future policy initiatives should recognize the need for inclusion of the disadvantaged in this growing sector. Also, conclusions drawn from the study are useful for the developing countries that imitate Indian software industry to develop inclusive development policies.

From the existing literature, it is not known whether the employment‐related benefits are reaching all the social groups, or uneven and combined development is reflected at the workforce as well. The paper fills the gap using triangulation of methods.

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.

Studies show that building information modelling (BIM) technology can improve construction productivity regarding the design, construction and maintenance of a project life cycle in the 21st century. Revit has been identified as a frequently used tool for delivering BIM in the built environment. Studies about BIM technology via Revit are scarce in training middle-level workforce higher education institutions. Thus, this study aims to investigate the relevance of BIM technology and offer measures to promote digitalisation in Nigeria’s built environment polytechnic undergraduates via Revit.

Given the unexplored nature of training the middle-level workforce in Nigeria, 37 semi-structured virtual interviews were conducted across Nigeria, and saturation was achieved. The participants were knowledgeable about construction-related BIM. The researchers used a thematic analysis for the collected data and honed them with secondary sources.

Improved visualisation of design, effective and efficient work productivity, automatic design and quantification, improved database management and collaboration and data storage in the centrally coordinated model, among others, emerged as BIM’s benefits. BIM technology via Revit is challenging, especially in Nigeria’s polytechnic education curriculum. The 24 perceived issues were grouped into government/regulatory agencies-related, polytechnic management-related and polytechnic undergraduate students-related hindrances in Nigeria’s built environment.

This study is limited to BIM implications for Nigeria’s built environment polytechnic undergraduates.

This study contributes to the literature paucity in attempting to uncover perceived issues hindering the implementation of BIM technology via Revit in training Nigeria’s built environment polytechnic undergraduates via a qualitative approach.