Resources of an organisation (people, time, money, equipment, etc) are never endless. As such, a constant and continuous challenge for decision makers is to decide which projects should be given priority in terms of receiving critical resources in a way that the organisation's productivity and profitability is best guarantied. Previous literature has already developed a plenitude of project portfolio selection methodologies ranging from simple scoring to complex mathematical models. However, most of them too often fail to propose one integrated and seamless method that can simultaneously take into account three important elements: 1) prioritisation of selection criteria over each other, 2) uncertainty in decision-making, and 3) projects interdependencies. This paper aspires to fill this gap by proposing an integrated method that can simultaneously address all these three aspects. The proposed method combines Quality Function Development (QFD), fuzzy logic, and Data Envelopment Analysis (DEA) to accounts for prioritisation, uncertainty and interdependency. We then apply this method in a numerical example from a real word case to illustrate the applicability and efficacy of the proposed methodology.

E-learning has been widely used as a prominent solution to provide on demand learning opportunities to reduce training time and cost. While e-learning acceptance has received a significant attention in academic/student domain, little research has been conducted in organizational setting. This paper aims to contribute to understanding the underlying factors which influence employees' intention towards using e-learning systems, through developing and proposing a conceptual research model based on one of the most comprehensive behavioral theory, the Unified Theory of Acceptance and Use of Technology (UTAUT). The proposed conceptual model first examines the native UTAUT constructs and then, by borrowing insight from other theories in the literature, expands the UTAUT theory to account for more context-specific e-learning factors in a workplace setting, namely, perceived organizational support, e-learning self-efficacy, perceived e-learning content quality and e-learning satisfaction. The paper also identifies directions for an empirical examination of the proposed research model in future.

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The innovation of Search Engine Advertising (SEA) was first introduced in 1998. It soon became a very popular tool among practitioners for promoting their websites on the Web and turned into a billion dollar revenue source for search engines. In parallel with its rapid growth in use, SEA attracted the attention of academic researchers resulting in a large number of publications on the topic of SEA. However, no comprehensive review of this accumulated body of knowledge is currently available. This shortcoming has motivated us to conduct a systematic review of SEA literature. Herewith, we searched for and collected 101 papers on the topic of SEA, published in 72 journals from different disciplines and analyzed them to answer the research questions for this study. We have identified the historical development of SEA literature, predominant journals in the publication of SEA research, active reference disciplines as well as the main researchers in the field of SEA. Moreover, we have classified SEA literature into four categories and 10 research topics. We also uncovered a number of gaps in SEA literature and provided future research direction accordingly.