International Journal of Modelling in Operations Management (4 papers in press)
Mobile Social Media Shopping: A Partial Least Squares-Structural Equation Modelling (PLS-SEM) Approach
by Zhi Yin Mooi
Abstract: As mobile technologies continue to advance with social media evolution, a new platform has been made available for consumers to purchase goods or services online. Mobile social media shopping (m-SMS) is an emerging information technology service, where its critical success factor is greatly dependent on the users. Thus, it is vital to decipher the users behavioral intention (BI). The main objective of this research examines the factors that influence consumers BI in adopting m-SMS. 200 valid data were assessed and analyzed using partial least squares structural equation modeling (PLS-SEM). Findings revealed that perceived playfulness (PP), compatibility (CP) and TS (training and support) have significant impact on BI. Moreover, CP has also displayed significant influence on PU and PEOU. However, TS has shown to have significant impact on PU alone, instead of PEOU. Findings of this study are anticipated to contribute to both theoretical and practical world.
Keywords: Mobile social media shopping; diffusion of innovation; technology acceptance model; partial least square structural equation modeling.
Selection of a spouse for females using hybrid multi-criteria decision making model in India
by Ankur Chauhan
Abstract: From the inception of humanity the marriages have been an integral part of all societies across the world. There are different customs, traditions, and rituals, followed up to organise and complete a marriage ceremony. The happening of a marriage is basically dependent on a male and a female partner. Unlike western world, Indians have different way to choose their partner, especially for females. In the past, there were few opportunities available to females for the selection of their partner due to limited access to their geographical area and poor information flow. Today, with the emergence of information technology and various marriage websites females, especially corporate working, receive many profiles of the partner candidates. Therefore, to assist the females in their decision making for an appropriate life-partner selection this study has been carried out. The ten important criteria have been identified with the help of a review of literature and field survey. Along with this, the Analytic Hierarchy Process (AHP) and Technique for Order Preference and Similarity to Ideal Solution (TOPSIS) method have been applied to calculate the importance of each criterion and rank the various alternatives (candidate profiles), respectively. The results of a real case study show that the application of AHP and TOPSIS leads to better decision making for a female in the multi-criteria decision making scenario such as this.
Keywords: Society; AHP; TOPSIS; Marriage; Matrimonial websites; Decision Making.
Mathematical modeling of the vehicle hybrid locating-routing problem in three-tier supply chain
by Reza Ehtesham Rasi, Meysam Karamipour, Rahman Noormohammadi
Abstract: One of the important issues that has been widely used in recent decades and has been raised to improve efficiency of transportation systems is Vehicle Routing Problem (VRP). Vehicle Routing Problem refers to a set of issues in which a number of vehicles concentrated in one or more locations are required to provide services a set of customers who each has a specific demand. This study has examined a complex integer math model in a three-level supply chain. In this paper, a three-objective mathematical model was presented for the location and routing problem. The model presented was raised in a three-tier supply chain in which products are shipped from manufacturers to distribution centers and from distribution centers to customers. In this study, we aim to design a three-level supply chain network that we want to reduce costs, which results in increased profits, and also to maximize the quality of products. In the present study, the above problem was introduced and a MILP multi objective mathematical model is provided. The exact method (by GAMS software) is used to solve MILP model. The results show that the total cost of the system, including transport costs, maintenance, etc., reduced and as well as a balanced distribution of costs and quality will increase.
Keywords: Location-Routing; Supply Chain; Hybrid Algorithm; Simulation; VRP.
Developing a multi-commodity multi-period mathematical model based on the traveling salesman problem for solving bike sharing rebalancing problem
by Bahareh Mohammadi, Hadi Shirouyehzad
Abstract: The rebalance problem in the bike sharing system includes operational decisions to respond to demand fluctuations in the kidneys Bicycle stations, so that by redistributing bikes among the stations with a balancing fleet, users can be satisfied. In recent years, considering the cities growth and development and also traffic challenges it has been one of the major needs of the urban transportation network. In particular, the use of bicycles on intra-city trips In addition to reducing the heavy traffic volume, it also leads to positive ecological and environmental impacts. On the other hand, combining this balancing process with minimal cost can have positive economic effects for communities, and encourage users to use these systems more frequently. In this research, the development of a mathematical model based on Travelling Salesman problem (TSP) has been devised that this is multi-objective model, with considering excessive constraints and the lack of permissible and different types of bikes at these stations, and in multi-period mode, is able to minimize slacks and surpluses in stations, in addition to minimizing stations balancing costs. Also, to validate the model and demonstrate its efficiency and performance, comprehensive examples have been solved using an exact solution approach.
Keywords: Bike Sharing System; Bike Sharing Rebalancing Problem; Multi Objective Mathematical Model; Vehicle Routing Problem.