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The purpose of this paper is to investigate the emancipatory promises and realities of information and communication technology (ICT) in Egypt.

The combination of Habermasian and Foucauldian ideas implemented by a critical discourse analysis of the Egyptian Information Society Policy and interviews with employees of local decision support systems employees. Promises and rhetoric are contrasted with findings and questioned with regards to their validity.

On the policy level, analysis shows that the emancipating rhetoric of ICT is not followed through. ICT is mostly seen as a means of attracting foreign direct investment. Neither political participation nor educational benefits are promoted seriously. On the local level, culture and organisational realities prevent individuals from exploiting the emancipatory potential of the technology.

The combination of the Habermasian and Foucauldian approach exposes the problems of ICT use in developing countries. It shows that emancipation is used to legitimise ICT policies but is not taken seriously on a policy level in Egypt. Local implementations also fail to deliver on their promise. In order to have emancipatory effects, ICT policy and use will need to be reconsidered.

This research covers a rather unexplored area of customer relationship management (CRM) by questioning the mechanism between on the one hand the Pareto-principle and on the other hand traditional non-IT supported operational CRM processes. Thus, the paper aims to explore whether a minority of processes and process-aspects deserves credit for achieving a majority of CRM goals.

A qualitative approach is the most appropriate due to the assumption that access to the reality of a situation is only possible through social construction. A qualitative approach seeks to answer questions posed by studying different social settings. As noted by Berg, qualitative techniques make it possible for researchers to participate in understanding and perceiving others, as well as permitting them to discover how people structure their daily lives to make them more meaningful.

The questioned mechanism of on the one hand traditional non-IT supported operational CRM process-aspects and on the other hand the Pareto-principle is confirmed by the majority of interviewees who answered affirmatively to small things making big differences in customer contact.

Regarding the limitations of this study, the results are hard to generalise as the research context depends on a single case study. However, the high levels of detail that allows for greater insight into manufacturing SMEs in HGV-Trailer that want to adopt non-IT support operational CRM where there is lack of financial resources justify the choice of this case study.

This study is important for management to focus and develop social on top of technical competencies. This was clear from the importance of social intercourse as the glue that links all the non-IT supported operational processes from break down to invoices. It helps in removing the uncertainty from the view point of customers and highlights the importance of the care that companies need to give to the human side of the process more than objectifying things. Moreover, the finding provides an important implication for practitioners involved spare-parts purchasing process and the warranty claiming process should continuously assess whether they operate in support of a breakdown or not and subsequently use this insight to prioritize their tasks.

This research tried to answer how the Pareto-principle applies to traditional non-IT supported operational CRM process-aspects by concluding that the first social intercourse, as well as problem ownership, belongs – from a customers' viewpoint – to the “vital few” leading to “trivial many” results of rational and emotional nature. This is especially true in the breakdown process, and processes that operate in support of breakdowns.

The theoretical understanding of online shopping behaviour has received much attention. Less focus has been given to online retailing ethics. Therefore, the purpose of this paper is to develop and test a comprehensive model of online retailing ethics.

The study used a survey amongst a sample representative of universities across Egypt. In total, 310 questionnaire were collected and analysed using structure equation modelling using WarpPLS.

The results indicate that the consumer perceptions of online retailing ethics (CPORE) as a second-order construct is composed of five constructs (security, privacy, non-deception, fulfilment/reliability, and service recovery) and strongly predictive of online consumer satisfaction. Furthermore, the authors find a significant mediating effect of trust, and commitment on the relationship between CPORE and customer satisfaction. The results also show that individualism had moderate effects on the relationship between CPORE and customer satisfaction. Contrary to expectations, power distance had no significant effect.

Despite the contributions of this study some research limitations need acknowledgment. First, this study employed a convenience sample. The authors encourage future studies to use random sampling of general consumers. The ethics literature identifies some factors which influence ethical judgments of consumers (e.g. sex, age, and education). Such research could identify how each variable, individually and cooperatively, impacts consumer ethical evaluations of online retailing. The authors did not collect data from non-internet shoppers because the focus of this study was online consumers referring to their latest purchase online. It may be an interesting extension, however, to test this conceptual model for other populations like non-online consumers.

This study developed and empirically tested a comprehensive model of CPORE with its multidimensional constructs and evaluated its impact on both consumer satisfaction and repurchase intention via trust and commitment.

The purpose of this paper is to present a study of the understanding and usage of social networking sites (SNS) as a knowledge management (KM) tool in knowledge‐intensive enterprises.

In terms of research approach, the study has taken an interpretitivist framework, using a higher education (HE) institution as the case‐study, which is characterised by the need to generate process, share and use knowledge on a daily basis in order to remain competitive. The case study was analysed using qualitative research methodology, composed of interviews and utilised narrative analysis as a means of data analysis, thus deriving a characterisation of understandings, perceptions and acceptance of SNS as a KM tool.

The study provides evidence that even in HE, where it is generally acknowledged that there is a need to adequately capture, store, share and disseminate knowledge, as this can lead to greater innovation, creativity and productivity, participants were suspicious of the nature of the technology and the fact that it could intertwine their professional and social life. As a result, they were not prepared to invest the relatively high effort required in employing SNS as a KM tool as they also have difficulty in establishing the added value. Consequently, in order to employ SNS for KM purposes cultural, behavioural and organisational issues need to be tackled before even considering technical issues.

The paper provides an insight into KM and social networking in HE. This also highlights issue for international HE.

In response to a turbulent industrial environment, especially for small and medium enterprises (SMEs), organizations have widely adopted e-business to improve their processes. This study aims to propose a model that encapsulates the determinants and outcomes of e-business adoption.

The determinants and outcomes of e-business adoption were tested using data gathered from 282 managers and analysed using structural equation modelling techniques.

The results indicated that owner support, perceived ease of use and government support were important determinants that influence e-business adoption. Attitude, competitive pressureand relative advantage were not significant. Regarding outcomes, e-business adoption had a major impact on SME functioning and operational progress; however, it had no influence on competitive advantage.

By ascertaining the determinants and outcomes of e-business adoption, the findings provide e-business practitioners and managers with guidelines that can encourage more efficient and effective e-business adoption within their organizations. The results also provide a basis for more precise e-business studies to be conducted in developing countries.

Precast construction has become increasingly popular in the construction industry. Nonetheless, the logistics of construction materials has been a neglected topic, and this neglect has resulted in delays and cost overruns. Careful planning that considers all of the factors affecting construction logistics can ensure project success. The purpose of this paper is to examine the potential for using genetic algorithms (GAs) to derive logistics plans for materials production, supply and consumption.

The proposed GA model is based on the logistics of precast components from the supplier’s production yard, to the intermediate warehouse and then to the construction site. Using an activity-based costing (ABC) approach, the model not only considers the project schedule, but also takes into account the production and delivery schedule and storage of materials.

The results show that GAs are suitable for solving time-cost trade-off problems. The optimization process helps to identify the activity start time during construction and the delivery frequency that will result in the minimal cost. What-if scenarios can be introduced to examine the effects of changes in construction logistics on project outcomes.

This paper presents a method for using GAs and an ABC approach to support construction logistics planning decisions. It will help construction planners and materials suppliers to establish material consumption and delivery schedules, rather than relying on subjective judgment.

In today’s intricate and dynamic construction sector, traditional project management techniques, which view projects in isolation, are no longer sufficient. Project Portfolio Management (PPM) has proven to be an efficient alternative solution for handling multiple construction projects. As such, based on a Machine Learning (ML) approach, this study aims to explore the Critical Success Factors (CSFs) influencing the adoption of PPM, aiming to enhance PPM implementation in construction projects.

A questionnaire based on CSFs gathered from prior studies was developed and validated by experts. Afterward, exploratory data analysis is conducted to understand CSF–PPM relationships. Preprocessing techniques ensure uniformity in variable magnitudes. Lastly, ML techniques, namely Linear Discriminant Analysis (LDA), Logistic Regression (LR) and Extra Trees Classifier (ETC) are developed to model and investigate CSFs' impact on PPM adoption.

The findings pointed out that the ETC model marginally outperforms other ML models with a classification accuracy of 93%. Also, the project size, utilized PPM tool and resource allocation-related factors are the most significant CSFs that influenced the PPM performance by about 48.5%.

This study contributes to the existing body of knowledge by raising awareness among construction companies and other project stakeholders about the pivotal CSFs that must be considered when prioritizing projects and designing an optimal PPM approach.

This paper aims to propose an innovative building information modelling (BIM)-based framework for multi-objective and dynamic temporary construction site layout design (SLD), which uses a hybrid approach of systematic layout planning (SLP) and mathematical modelling.

The hybrid approach, which follows a step-by-step process for site layout planning, is designed to facilitate both qualitative and quantitative data collection and processing. BIM platform is usedto facilitate the determination of the required quantitative data, while the qualitative data are generated through knowledge-based rules.

The multi-objective layout model represents two important aspects: layout cost and adjacency score. The result shows that the model meets construction managers’ requirements in not only saving cost but also assuring the preferences of temporary facility relationships. This implies that the integration of SLP and mathematical layout modelling is an appropriate approach to deliver practical multi-objective SLD solutions.

The proposed framework is expected to serve as a solution, for practical application, which takes the advantage of technologies in data collection and processing. Besides, this paper demonstrates, by using numerical experimentation and applying Microsoft Excel Solver for site layout optimisation, how to reduce the complexity in mathematical programming for construction managers.

The original contribution of this paper is the attempt of developing a framework in which all data used for the site layout modelling are collected and processed using a systematic approach, instead of being predetermined, as in many previous studies.

Pipe‐spool module assembly involves a variety of uncertain factors and constraints, which complicate the assembly scheduling process. These factors also pose a challenge for the scheduler who struggles to produce a schedule that optimizes both the use of available resources (e.g. space) and meets the project's delivery deadlines. In the relatively quick production cycle of module assembly, the scheduling process plays an operative role. Thus, automation of the process would enhance productivity of the schedule updating process. This paper seeks to address this issue.

A simulation‐based approach is presented for scheduling pipe‐spool module assembly. This approach incorporates physical and logical constraints. General purpose simulation (GPS) is used to model these logical and heuristic constraints.

The application of the proposed model to an actual case study demonstrates the significant improvement in the assembly schedule when compared to traditional CPM‐based scheduling techniques.

The proposed model allows schedulers to experiment with various rules in order to improve the scheduling process by, for example, instantly updating the schedule.

Integrating construction and site layout planning in mechanized tunnel infrastructure projects is essential due to the mutual impacts of construction planning and site layout decisions. Simulation can incorporate site layout planning and construction planning of tunneling projects in a unified environment. However, simulation adoption by industry practitioners has remained relatively limited due to the special skills required for building and using simulation models. Therefore, this paper aims to create a simple-to-use simulation tool that supports site layout and construction operation planning of tunneling projects. This tool intends to promote the simulation application in site layout planning.

The current paper proposes simulation as a decision support tool (DST) to provide an integrated environment for modeling tunnel construction operations, site layout and capturing the mutual impacts. A special purpose simulation (SPS) tool was customized and developed for typical mechanized tunneling projects, by tunnel boring machines, to facilitate building the model and allow access to users with limited simulation knowledge.

The results show that the developed SPS tool is of great assistance to construction industry practitioners to analyze a variety of site layout and construction plan scenarios and make informed decisions based on its comprehensive and intuitive outputs.

The main contribution of this research is to promote simulation application in site layout planning of tunneling projects through the development of a simple-to-use tool, which has sufficient details for site layout planning and constraints. The developed DST enables planners to make decisions simultaneously on the site layout, other construction planning variables and identify the most efficient plan.