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Computer simulation is one of several technologies available to improve competitiveness, and simulation is thus often used as a design and/or decision tool in various industries including supply chain systems. The presumed difficult and time‐consuming statistical analysis of simulation data is often avoided while doing simulation studies by supplying deterministic input data to simulation models. This article addresses this issue in order to make managers aware of the risks involved with this practice. Embracing any technology that is new to the organisation requires responsibility. A theoretical comparison of deterministic simulation versus stochastic simulation is conducted and the theoretical results are substantiated with empirical results obtained from a simple logistic simulation model using deterministic input as one alternative and stochastic input as a second alternative.

The corporate Web site is an indispensable part of any e‐commerce venture. If users find it difficult to do electronic transactions, they will visit another online source, or go to a physical source instead. Evaluating the performance of e‐commerce Web sites has received some attention in the past few years, but there is still a pressing need for a more comprehensive approach. This paper attempts to address this need by providing an e‐commerce Web site evaluation framework and method built on solid business principles, and using multidimensional scaling to analyse evaluation data and present the results in a graphic manner for easy interpretation.

This chapter shows how a weighted average of a forward and reverse Jackknife IV estimator (JIVE) yields estimators that are robust against heteroscedasticity and many instruments. These estimators, called HFUL (Heteroscedasticity robust Fuller) and HLIM (Heteroskedasticity robust limited information maximum likelihood (LIML)) were introduced by Hausman, Newey, Woutersen, Chao, and Swanson (2012), but without derivation. Combining consistent estimators is a theme that is associated with Jerry Hausman and, therefore, we present this derivation in this volume. Additionally, and in order to further understand and interpret HFUL and HLIM in the context of jackknife type variance ratio estimators, we show that a new variant of HLIM, under specific grouped data settings with dummy instruments, simplifies to the Bekker and van der Ploeg (2005) MM (method of moments) estimator.

This study aims to examine the factors that affect individuals’ intention of participating in donation crowdfunding in the context of Oman.

This study used the self-determination theory. A total of 250 respondents from Oman participated. The data is collected by online survey and analyses by using the partial least squares technique.

The results illustrate that sense of self-worth, perceived donor effectiveness and moral obligation positively affect donation intention (DI) towards crowdfunding projects. Furthermore, subjective norms and perceived behavioural control positively impact individuals’ intention to contribute to donation crowdfunding.

The results contribute to the literature on donation crowdfunding by identifying the driving forces of individuals’ DI to crowdfunding projects in Oman.

Now and into the foreseeable future, both effective leadership and creativity are going to be important when addressing complex problems. The connection between effective leadership and creativity will be critical as leaders look to turn big ideas into innovative solutions. However, it seems that there is often a disconnect between the two constructs of creativity and effective leadership. The article draws upon scholarly research within the field to address this gap and better understand the power of humility to mitigate this disconnect. The goal of this article is to encourage the field of Leadership Education to look inward into how we as a community are creating an environment where creative leaders can be developed.

This survey presents the recent and rapidly expanding literature, which analyses the economic impacts of the COVID-19 pandemic, by means of Computable General Equilibrium (CGE) modelling. It does so not only by contrasting and assessing the different methodological approaches, and the key findings of the simulation exercises, but also by putting the various contributions in a historical perspective. This is necessary because each CGE-based study should be evaluated while keeping in mind when it was realised, since questions, priorities, expectations have been constantly changing during the spreading of the pandemic.

This paper aims to explore the demographic and psychographic characteristics of Bruneians in relation to charitable donation behaviour.

Data were collected via an intercept approach at five major intersections of the central business district in the city of Brunei. Data were analysed using SPSS, with factor analysis being conducted before applying a series of t-tests and ANOVAs.

Overall there is no relationship between age, income and gender, and donating behaviour. Results show that perceived generosity does not play an important role in Brunei compared to previous studies. The cause of this phenomenon could be due to the influence of the Bruneian culture. That is, the government takes a large responsibility for charitable events in Brunei and for this reason charitable donations from citizens are limited. Analysis also showed the importance of religion in predicting donation behaviour.

Further research in this paper should attempt to make more cross-cultural comparisons of donor characteristics. This would provide a more holistic perspective on donor behaviour and thus assist managerial decisions in the marketing of charities. The effects of religiosity on donation behaviour should be further analysed to ascertain the variances of donation behaviour across cultures with high dominance of religion.

The principal contribution of this paper is that it provides insights into the nuances and characteristics of Bruneians in relation to attitudes and behaviour towards charitable donations.

The idea of implementing supply chain management (SCM) principles for the construction industry was embraced by construction stakeholders to enhance the sector's performance. The analysis from the literature revealed that the implementation of SCM in the construction industry enhances the industry's value in terms of cost-saving, time savings, material management, risk management and others. The construction supply chain (CSC) can be managed using the pull or push system. This chapter also discusses the origin and proliferation of SCM into the construction industry. The chapter revealed that the concept of SCM has passed through five different eras: the creation era, the use of ERP, globalisation stage, specialisation stage and electronic stage. The findings from the literature revealed that we are presently in the fourth industrial revolution (4IR) era. At this stage, the SCM witnesses the adoption of technologies and principles driven by the 4IR. This chapter also revealed that the practice of SCM in the construction industry is centred around integration, collaboration, communication and the structure of the supply chain (SC). The forms and challenges hindering the adoption of these practices were also discussed extensively in this chapter.