Template-Type: ReDIF-Article 1.0 Author-Name: Dávid Földes Author-X-Name-First: Dávid Author-X-Name-Last: Földes Author-Name: Csaba Csiszár Author-X-Name-First: Csaba Author-X-Name-Last: Csiszár Title: Personalised information services for bikers Abstract: Modal share of cycling is growing; however, information services are to be significantly improved. Our research aim was to reveal, how the available real-time data can be used to support bikers and to ease decision making by provision of personalised information. We have identified the categories of biker information services and then the route planner applications have been analysed in order to point out the exemplary solutions. The attributes of mobility and information management, as well as their correspondences have been revealed in order to develop appropriate information services. We have carried out a questionnaire survey to identify bikers' habits and expectations towards information services. An analysis method has been elaborated which is applicable to determine the correspondences between mobility and information management attributes. The results are to be applied as bases during development of adaptive, personalised information application aiding decisions. Journal: Int. J. of Applied Management Science Pages: 3-25 Issue: 1 Volume: 10 Year: 2018 Keywords: behaviour; cycling; decision support; route planner; information management; information service; personalisation. File-URL: http://www.inderscience.com/link.php?id=89944 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:10:y:2018:i:1:p:3-25 Template-Type: ReDIF-Article 1.0 Author-Name: Ludmiła Filina-Dawidowicz Author-X-Name-First: Ludmiła Author-X-Name-Last: Filina-Dawidowicz Author-Name: Teresa Gajewska Author-X-Name-First: Teresa Author-X-Name-Last: Gajewska Title: Examination of importance and range of comprehensive service for refrigerated containers in seaports Abstract: The article concerns the problems of comprehensive service for refrigerated cargo performed at maritime container terminals. It aims to determine the services range forming the comprehensive service of refrigerated containers in seaports and to examine the opinion of container terminals on customer satisfaction with the complexity of handling refrigerated containers. An approach to assess the customer satisfaction with the complexity of handling refrigerated containers has been proposed. The results of the survey conducted at five Polish maritime container terminals have been analysed. The research revealed that according to the seaports opinion the comprehensive service is important for their customers. The high-level customer satisfaction and shorter service time are the main benefits of service. The importance rating for services groups within comprehensive service of analysed cargo has been analysed. It was stated that seaports need to strengthen the implementation of logistic services group for refrigerated containers under their comprehensive service. Journal: Int. J. of Applied Management Science Pages: 26-43 Issue: 1 Volume: 10 Year: 2018 Keywords: comprehensive service; customer satisfaction; refrigerated containers; quality of services; seaports. File-URL: http://www.inderscience.com/link.php?id=89945 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:10:y:2018:i:1:p:26-43 Template-Type: ReDIF-Article 1.0 Author-Name: Sawssen Ben Ammar Author-X-Name-First: Sawssen Ben Author-X-Name-Last: Ammar Author-Name: Taicir Loukil Author-X-Name-First: Taicir Author-X-Name-Last: Loukil Author-Name: Mohamed Mahjoub Dhiaf Author-X-Name-First: Mohamed Mahjoub Author-X-Name-Last: Dhiaf Title: Multi-criteria approach for assessing the logistics performance of industrial purchase: empirical study of Tunisian manufacturing company Abstract: In this paper, a multi-criteria methodology of evaluation of the purchase logistics performance is developed. This methodology is based on the logic of logistics purchase decomposition in the form of processes and sub-processes. This elementary decomposition is the tool that will allow us to reach the levers that will generate the performance of the purchase within each process in order to carry out the determination of the performance of each process and after the overall performance of whole purchase. Achieving this goal has required the use of multi-criterion tools to support the decision - PROMETHEE II. The choice of this method is not arbitrary since it exceeded our research objectives. In addition, the validation of this approach has resulted in an industrial context in a furniture manufacturing group. The obtained results show that the purchase of this group is generally not performing. The sources of non-performance are due to malfunctions at the sub-processes levels 1 and 3 i.e. levels of flexibility, responsiveness, innovation and marketing-purchase. Journal: Int. J. of Applied Management Science Pages: 44-58 Issue: 1 Volume: 10 Year: 2018 Keywords: industrial purchase; performance; multi-criteria evaluation; PROMETHEE II; Tunisia. File-URL: http://www.inderscience.com/link.php?id=89946 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:10:y:2018:i:1:p:44-58 Template-Type: ReDIF-Article 1.0 Author-Name: Zhaoqiong Qin Author-X-Name-First: Zhaoqiong Author-X-Name-Last: Qin Author-Name: Charles J. Mambula I Author-X-Name-First: Charles J. Mambula Author-X-Name-Last: I Title: Price timing in new markets with strategic consumers Abstract: We analyse the competitive price timing decisions of both e-tailers (online sellers) and brick-mortar retailers for a new product. Firms may announce the price early (when the product's valuation for consumers is highly uncertain) or late (when the uncertainty of the product's valuation has been resolved). Both firms choose the timing and price level to maximise their own expected profits. We find that firms always choose to announce the price late when they monopoly the market. However, when both firms compete against each other and duopoly the market, both firms announce the price late when the uncertainty of the product's valuation is high and the online acceptance rate is low; by contrast, one of them takes a leadership role and announces the price early whereas the other one follows and announces late when the uncertainty of the product's valuation is low and the online acceptance rate is high. Journal: Int. J. of Applied Management Science Pages: 72-85 Issue: 1 Volume: 10 Year: 2018 Keywords: pricing timing; new markets; strategic consumers; online acceptance rate; competition. File-URL: http://www.inderscience.com/link.php?id=89952 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:10:y:2018:i:1:p:72-85 Template-Type: ReDIF-Article 1.0 Author-Name: Nesrine Zoghlami Author-X-Name-First: Nesrine Author-X-Name-Last: Zoghlami Author-Name: Besma Glaa Author-X-Name-First: Besma Author-X-Name-Last: Glaa Author-Name: Souad Rabah Author-X-Name-First: Souad Author-X-Name-Last: Rabah Author-Name: Mourad Abed Author-X-Name-First: Mourad Author-X-Name-Last: Abed Title: Healthcare decision support tool: multi-agent system for bed management Abstract: The effective management of the allocation of limited resources such as beds is a key to the delivery of timely, high quality and low cost healthcare. However, an efficient utilisation of beds is not easy to accomplish because of the complexity of the healthcare system and the higher amount of problems that the hospitals are facing such as the overcrowding. Moreover, in order to solve these problems, effective bed management remains one of the prominent solutions for the majority of hospitals. In this paper, a decision support system based on multi-agent systems has been proposed. The suggested tool will assist healthcare practitioners to manage beds in the hospitals and also to address the problem of bed management by offering a referral depending on availability of beds to avoid tension in hospitals. Journal: Int. J. of Applied Management Science Pages: 59-71 Issue: 1 Volume: 10 Year: 2018 Keywords: multi-agent system; MAS; decision support system; bed management. File-URL: http://www.inderscience.com/link.php?id=89954 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:10:y:2018:i:1:p:59-71 Template-Type: ReDIF-Article 1.0 Author-Name: Jerzy Michnik Author-X-Name-First: Jerzy Author-X-Name-Last: Michnik Title: The WINGS method with multiple networks and its application to innovation projects selection Abstract: The paper presents a comprehensive method for supporting important decisions with long-term consequences for an organisation. The proposed approach combines multiple weighted influence nonlinear gauge system (WINGS) networks into a single model comprising a broad analysis of benefits, opportunities, costs and risks (BOCR). Practicality of the presented solution is demonstrated with the illustrative example of selecting innovation projects. Journal: Int. J. of Applied Management Science Pages: 105-126 Issue: 2 Volume: 10 Year: 2018 Keywords: BOCR analysis; innovation projects selection; multiple criteria decision analysis; MCDA; multiple networks; risk analysis; system modelling; weighted influence nonlinear gauge system; WINGS. File-URL: http://www.inderscience.com/link.php?id=92077 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:10:y:2018:i:2:p:105-126 Template-Type: ReDIF-Article 1.0 Author-Name: Sarah Oufella Author-X-Name-First: Sarah Author-X-Name-Last: Oufella Author-Name: Djamila Hamdadou Author-X-Name-First: Djamila Author-X-Name-Last: Hamdadou Title: A collaborative spatial decision support system applied to site selection problems Abstract: Nowadays, urban areas face many challenging issues; one of the most demanding is site selection. Strategic site selection issues are typically complex problems that require consideration of multiple alternatives (sites), multiple criteria and multiple decision-makers with conflicting interests, preferences and desires. In this perspective we propose a new decision making framework based on three areas of high importance: multi-agent systems, geographic information system and multiple-criteria decision analysis. These three tools are combined in a manner so that the shortcoming of one tool is complemented by the strength of the others. To assist the decision makers in selecting the compromise alternative from a number of feasible alternatives, the proposed decision support system will be enriched with a protocol of negotiation based on argumentation approach, which allows agents (decision makers) to exchange complex justification positions rather than just simple proposals, this property of argumentation protocols can lead to faster and beneficial agreements to the group. Journal: Int. J. of Applied Management Science Pages: 127-156 Issue: 2 Volume: 10 Year: 2018 Keywords: geographic information systems; GIS; multi-criteria decision making; MCDM; multi-agent systems; MAS; argumentation-based negotiation; site selection problems; decision makers; DMs; group decision support system; GdSS; agreement option; analytic hierarchy process; AHP. File-URL: http://www.inderscience.com/link.php?id=92078 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:10:y:2018:i:2:p:127-156 Template-Type: ReDIF-Article 1.0 Author-Name: Abednico Lopang Montshiwa Author-X-Name-First: Abednico Lopang Author-X-Name-Last: Montshiwa Title: Regional automobile parts makers' competitive advantages analysis Abstract: This paper presents a comparative analysis study between Asian and North American automobile parts markers' perspective on competitive advantages. To undertake this task, the study introduced supply chain cooperation, risk ranking and business risk management in a three phase competitive advantages model adopted from the Barney (1995) model (<i>with slight differences</i>). Smart PLS 3.0.was employed to analyse data. In this survey, Asian companies accounted for 60% of the responses while the remaining 40% were from North America. Both Asian and North American companies highlighted the importance of resources availability (<i>big company size</i>) in organising the supply chain network. Asian companies indicated that supply chain cooperation significantly affects competitive advantages while the North American ones did not record any significant relationship. Finally, North American companies indicated that business risk management is crucial in attaining competitive advantages while their Asian rivals did not consider that vital. Journal: Int. J. of Applied Management Science Pages: 87-104 Issue: 2 Volume: 10 Year: 2018 Keywords: comparative analysis; competitive advantages; supply chain cooperation; SCC; risk ranking; business risk management. File-URL: http://www.inderscience.com/link.php?id=92079 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:10:y:2018:i:2:p:87-104 Template-Type: ReDIF-Article 1.0 Author-Name: Hassan Karimi Author-X-Name-First: Hassan Author-X-Name-Last: Karimi Author-Name: Atefeh Azarakhshi Author-X-Name-First: Atefeh Author-X-Name-Last: Azarakhshi Author-Name: Farzad Nobakht Author-X-Name-First: Farzad Author-X-Name-Last: Nobakht Title: A two-phase methodology based on MADM and zero-one programming for planning exhibition soccer matches Abstract: It is essential to choose proper teams for exhibition games by management of sports teams. The Iran soccer team as well as its opponents in the World Cup tournament needs some exhibition games. This study suggests a two-phase model for planning the exhibition football games to choose between 15 teams for exhibition games considering the cost of travels and the minimum values required for different parameters. The first phase uses multi attribute decision-making (MADM) technique in which each team is assigned scores based on the pre-defined parameters. Weights obtained in the first phase are used as input to the second phase. In the second phase, a mathematical optimisation model is proposed which is able to choose teams, organise the events and minimise the travel path from the origin to each destination and eventually to the origin (Iran). It is noteworthy that the second phase uses travelling salesman problem (TSP). Journal: Int. J. of Applied Management Science Pages: 157-171 Issue: 2 Volume: 10 Year: 2018 Keywords: MADM technique; exhibition games; travelling salesman problem; TSP; mathematical programming. File-URL: http://www.inderscience.com/link.php?id=92081 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:10:y:2018:i:2:p:157-171 Template-Type: ReDIF-Article 1.0 Author-Name: Shubin Xu Author-X-Name-First: Shubin Author-X-Name-Last: Xu Title: An adaptive penalty guided genetic algorithm for scheduling parallel batch processing machines Abstract: We study the problem of scheduling a set of jobs with non-identical capacity requirements on parallel non-identical batch processing machines to minimise the makespan. We formulate the problem as a nonlinear integer programming model. Given that this problem is NP-hard, we propose a genetic algorithm to heuristically solve it. An adaptive penalty is combined to guide the search process to explore promising feasible and infeasible regions. Random problem instances were generated to test the approach with respect to solution quality and run time. Computational results demonstrate the effectiveness of the proposed algorithm. Journal: Int. J. of Applied Management Science Pages: 247-268 Issue: 3 Volume: 10 Year: 2018 Keywords: scheduling; parallel machines; batch processing machines; makespan; mathematical programming; heuristics; genetic algorithms; penalty function. File-URL: http://www.inderscience.com/link.php?id=93784 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:10:y:2018:i:3:p:247-268 Template-Type: ReDIF-Article 1.0 Author-Name: Abdelaziz El Kfita Author-X-Name-First: Abdelaziz El Author-X-Name-Last: Kfita Author-Name: Omar Drissi-Kaitouni Author-X-Name-First: Omar Author-X-Name-Last: Drissi-Kaitouni Title: A hybrid fuzzy MCDM approach based on fuzzy revised DEMATEL and ANP to evaluate fleet maintenance management Abstract: This study shows to the importance of maintenance management to increase the vehicles fleet availability. In reality there are several factors related to the maintenance process and procedures, maintenance outsourcing, spare parts, fleet size, age and environment having a direct and indirect influence with varying degrees affecting fleet management. In this sense two methods have been combined: fuzzy revised DEMATEL and analytic network process (ANP), to evaluate the levels of interdependence as well as relative weight of selected factors and then a model was proposed with five dimensions and their relative weights were calculated. This proposed approach has been implemented in public administration as a strategic decision support. Following this study the result shows that, <i>Outsourced Maintenance Providers</i> dimension is the weighted factor affecting maintenance service. By contrast, the lowest weight factors were <i>Procedures</i> and <i>Technical Skills</i>. Journal: Int. J. of Applied Management Science Pages: 217-246 Issue: 3 Volume: 10 Year: 2018 Keywords: fuzzy revised-DEMATEL; analytic network process; ANP; fuzzy set theory; fleet maintenance management. File-URL: http://www.inderscience.com/link.php?id=93785 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:10:y:2018:i:3:p:217-246 Template-Type: ReDIF-Article 1.0 Author-Name: Bowon Kim Author-X-Name-First: Bowon Author-X-Name-Last: Kim Author-Name: Jaeseok Na Author-X-Name-First: Jaeseok Author-X-Name-Last: Na Author-Name: Sunghak Kim Author-X-Name-First: Sunghak Author-X-Name-Last: Kim Title: Effects of target firm's inventory turnover on post-merger and acquisition performance Abstract: Firms use merger and acquisition (M%A) as a strategic tool to restructure their business. We explore the factors that determine the success of M%A in manufacturing. The literature has highlighted financial variables as success factors. However the literatures have not considered how operational factors of target firm have effects on the post-M%A performance of the buyer firm. Thus, we hypothesise that operational factors of the target firm also affect the M%A performance. In particular, we look into three different types of inventory, i.e., raw material, work-in-process, and finished goods, simultaneously. Then, we put forth that the turnover of the target firm's work-in-process inventory, which directly reflects its operational efficiency, is the most important factor. Thus, we conclude that in addition to financial factors, the target firm's operational efficiency determines the M%A performance. We elaborate on the analysis results and discuss economic as well as managerial implications. Journal: Int. J. of Applied Management Science Pages: 173-191 Issue: 3 Volume: 10 Year: 2018 Keywords: work-in-process inventory; merger and acquisition; M%A; return on assets; ROA; inventory turnover; target firm; post-merger and acquisition performance. File-URL: http://www.inderscience.com/link.php?id=93800 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:10:y:2018:i:3:p:173-191 Template-Type: ReDIF-Article 1.0 Author-Name: Jafar Razmi Author-X-Name-First: Jafar Author-X-Name-Last: Razmi Author-Name: Reza Babazadeh Author-X-Name-First: Reza Author-X-Name-Last: Babazadeh Author-Name: Mohamad Amin Kaviani Author-X-Name-First: Mohamad Amin Author-X-Name-Last: Kaviani Title: Optimisation of dynamic hydrogen supply chain network: a mathematical programming approach Abstract: The recent studies on hydrogen supply chain (HSC) explicitly state that optimising the HSC flows is one of the main elements leads to have an efficient hydrogen supply network and plays a vital role in total costs minimisation of hydrogen production and transportation. Considering the importance of this issue, this study presents a mathematical programming optimisation model to help the HSC managers make robust strategic and tactical decisions related to HSC management. Generally, the HSC echelons include gathering raw material centres, production facilities and hydrogen distribution and storage centres. The proposed approach introduces a mix-integer linear programming (MILP) model optimising the HSC network at the strategic level of decision-making through minimising both capital and operational costs of the HSC. Furthermore, sensitivity analysis is accomplished on the transportation cost of materials within the HSC network which constitutes the major share of total costs. Moreover, a numerical example is performed to demonstrate the efficiency and validity of the proposed optimisation model. The obtained results confirm the capability of the presented model for HSC network optimisation. The main finding of the research indicated that hydrogen transportation cost is completely sensitive to HSC network structure. Journal: Int. J. of Applied Management Science Pages: 192-216 Issue: 3 Volume: 10 Year: 2018 Keywords: supply chain network design; hydrogen supply chain; mathematical modelling; optimisation; supply chain management; mixed-integer linear programming. File-URL: http://www.inderscience.com/link.php?id=93801 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:10:y:2018:i:3:p:192-216 Template-Type: ReDIF-Article 1.0 Author-Name: Mohammad Vardi Author-X-Name-First: Mohammad Author-X-Name-Last: Vardi Author-Name: Ali Ghorbanian Author-X-Name-First: Ali Author-X-Name-Last: Ghorbanian Title: Air cargo simultaneous weight and volume capacity planning with revenue management approach Abstract: Revenue management (RM) is a subfield of operations research with the aim to maximise the revenues acquired by selling perishable products/services. Due to the substantial growth in air cargo industry over the past few years, sophisticated techniques are needed to maximise revenue. In this paper, airline cargo capacity allocation problem in two cases, including cancellation possibility and impossibility have been investigated. Two capacity dimensions of the problem, volume and weight, is complicated the decision making about request acceptance policy. For the formulation of two problems, dynamic programming technique has been used. Since dynamic programming suffers from much memory consumption for large size problems, three heuristics including deterministic integer linear programming (DILP), bid price (BP) and dynamic programming decomposition (DPD) has been proposed for problems solving. Results of simulation showed that BP and DILP have the better performance comparing to other approaches. In addition, comparison of two problem's optimum values indicated that considering cancellation increase total revenue more than 10%. Journal: Int. J. of Applied Management Science Pages: 319-337 Issue: 4 Volume: 10 Year: 2018 Keywords: revenue management; air cargo; cancellation; overbooking. File-URL: http://www.inderscience.com/link.php?id=95324 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:10:y:2018:i:4:p:319-337 Template-Type: ReDIF-Article 1.0 Author-Name: Mongkol Kittiyankajon Author-X-Name-First: Mongkol Author-X-Name-Last: Kittiyankajon Author-Name: Danaipong Chetchotsak Author-X-Name-First: Danaipong Author-X-Name-Last: Chetchotsak Title: Group decision making for strategy prioritisation using hybrid aggregation: a case study of sugar industry in Thailand Abstract: Strategy prioritisation with multiple criteria decision analysis is well accepted. When group decision making is concerned however, the process to aggregate each of the experts' decisions into the group decision is complicated and challenging. The traditional geometric mean method is very common for group decision but it might ignore variations among the experts' decisions. This paper proposed an aggregation algorithm for group decision to be used for strategy prioritisation which considered the following features: 1) agreement among the individuals' decisions; 2) influence of persons who had greater preferential difference; 3) the ranks of alternatives by each expert; 4) the group decision be closest to the best alternative but farthest from the worst one. Simulated situations, sensitivity analysis, and a case study for the sugar industry in Thailand were provided as numerical examples along with discussions of results. The proposed method can be applied for strategy prioritisation as well as other kinds of ranking problems. Journal: Int. J. of Applied Management Science Pages: 338-361 Issue: 4 Volume: 10 Year: 2018 Keywords: strategy prioritisation; group decision; SWOT; AHP; ranking problems; sugar industry; Thailand. File-URL: http://www.inderscience.com/link.php?id=95325 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:10:y:2018:i:4:p:338-361 Template-Type: ReDIF-Article 1.0 Author-Name: Judit Oláh Author-X-Name-First: Judit Author-X-Name-Last: Oláh Author-Name: Steffen Nestler Author-X-Name-First: Steffen Author-X-Name-Last: Nestler Author-Name: Thomas Nobel Author-X-Name-First: Thomas Author-X-Name-Last: Nobel Author-Name: Mónika Harangi-Rákos Author-X-Name-First: Mónika Author-X-Name-Last: Harangi-Rákos Author-Name: József Popp Author-X-Name-First: József Author-X-Name-Last: Popp Title: Development of dry ports in Europe Abstract: Many German dry ports have already been successfully established and positioned in the past; however, several questions may arise. Can they keep pace with latest standards? Can they maintain their strong capabilities or are there locations in Europe, of whose achievements German dry ports can still 'learn'? What impulses come in turn from the German dry ports? The aim of this study was to illustrate the international logistics landscape and furthermore to give recommendations for the successful development of macro logistics concepts in Europe. The European ranking of 2015 is based in terms of its methodology on the scientific assessments of the authors. Therefore, it is evident that the results for example with use of a different weighting of the 40 evaluation criteria can certainly lead to different ranking results. In comparison to the first European Ranking 2010, there is no change among the TOP 3 in the ranking 2015. Journal: Int. J. of Applied Management Science Pages: 269-289 Issue: 4 Volume: 10 Year: 2018 Keywords: logistics services; dry port; macro logistics concept; hinterland; intermodal terminal; Europe. File-URL: http://www.inderscience.com/link.php?id=95330 File-Format: text/html File-Restriction: Open Access Handle: RePEc:ids:injams:v:10:y:2018:i:4:p:269-289 Template-Type: ReDIF-Article 1.0 Author-Name: Anton Talantsev Author-X-Name-First: Anton Author-X-Name-Last: Talantsev Author-Name: Aron Larsson Author-X-Name-First: Aron Author-X-Name-Last: Larsson Author-Name: David Sundgren Author-X-Name-First: David Author-X-Name-Last: Sundgren Title: A new method for context factors analysis in international development project planning Abstract: The long-term success or failure of a development project is largely shaped by the external context. Therefore, assessment of factors influencing fulfilment of long-term development outcomes is vital for better project planning. In recent decades, the logical framework (logframe) has de facto become a standard tool for planning and managing development interventions. While the logframe requires identification of assumptions and risks regarding the external context, it does not suggest ways to analyse them in a conventional risk assessment manner. Also, the log-frame has been criticised for ignoring uncertainty in project environment along with neglecting external opportunities. Therefore, in this paper we suggest a method for project context analysis that extends the log-frame with scenarios analysis and address aforementioned shortcomings. We implement and demonstrate the application of the method on an international aid development project, discuss the method's potential use-cases, specific limitations and future development. Journal: Int. J. of Applied Management Science Pages: 290-318 Issue: 4 Volume: 10 Year: 2018 Keywords: project success factors; context factors; project uncertainty; project risk analysis; logical framework approach; LFA; Monte Carlo simulation. File-URL: http://www.inderscience.com/link.php?id=95347 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:10:y:2018:i:4:p:290-318