A Hybrid Multiattribute Decision Making Model for  Evaluating Students’ Satisfaction towards Hostels

Krishnan, Anath Rau; Bakar, Engku Muhammad Nazri Engku Abu; Kasim, Maznah Mat

doi:10.1155/2015/801308

Cited by 6 publications

(3 citation statements)

References 30 publications

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“…Hostel users face a lot of storage problems due to limited space in the wardrobe; they cannot store their clothes, shoes, and other storage accessories [19]. The prior study indicated that some students were not satisfied due to the availability of CCTV cameras in their residences and the effectiveness of security guards [8]. [4] concluded that staff was the most important dimension in explaining the willingness to recommend hostels.…”

Section: Literature Reviewmentioning

confidence: 99%

Determinants of Residents Satisfaction from Hostel Facilities

Komal

Ahmad

Ahmed

et al. 2023

AEMPS

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Residents satisfaction of students depends on quality residential facilities, quiet study environment and positive roommate relationships. For this purpose, the present study aims to analyze determinants of residents satisfaction with hostel facilities by using a convenience sampling to collect 500 residents of public and private hostels from a metropolitan city of Pakistan i.e. Faisalabad. The logistic regression model was employed to estimate the impact of hostel facilities on resident satisfaction. The Results infer that different facilities; mess, kitchen, washroom, electricity, water supply, cleanliness, staff, security, accommodation, and bedroom, have a significant impact on the residents satisfaction. However, a non-significant level of certain variables exposed that these variables are not playing an important role in the resident's satisfaction, so the hostel administration does not need to spend money and time to provide these facilities for hostel residents. The present study results implied that the management should focus on those factors where the residents are assigning positive values to increase resident satisfaction. It will have a significant impact on the revenue streams of the hostel business.

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Section: Literature Reviewmentioning

confidence: 99%

Determinants of Residents Satisfaction from Hostel Facilities

Komal

Ahmad

Ahmed

et al. 2023

AEMPS

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“…Khatri designed and assessed the solar PV Plant in the girls' hostel at MNIT University, India. (Krishnan et al, 2015) used a hybrid MCDM technique to determine the satisfaction of the hostel students. The weights of the criteria were determined through Mikhailov's fuzzy analytical hierarchy process (MFAHP).…”

Section: Related Workmentioning

confidence: 99%

Assessing the qualitative and quantitative performance of hostels and mess for an HEI through multi-criteria decision making

Panwar,

Pant

2023

Int J Syst Assur Eng Manag

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Performance measurement of a unit or an organization is a concrete step for maintaining quality services and should be done periodically to assess the strengths and weaknesses of an organization. The assessment of performance depends on several criteria and is basically a multi-criterion decision-making (MCDM) problem for which various techniques are available in the literature. In the present study, the objective is to measure the performance of hostels and mess facilities of a Higher Educational Institute (HEI) through multi-criteria decision-making methods. On the basis of a survey conducted, a total of 13 criteria are identi ed which affect the performance of the hostel and mess. Two well-known MCDM techniques, data envelopment analysis (DEA) and analytic hierarchy process (AHP), are used for analyzing the results. While DEA is used for the quantitative analysis, AHP is used for the qualitative analysis. Further, the relevant performing factors for hostels and mess are also identi ed through AHP and sensitivity analysis-DEA (DEA-SA).

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“…Internal ambiance aspects such as good lighting, air-conditioning, and spatial layout of a restaurant could help in creating a better dining experience for customers to repurchase (Harris & Goode, 2010). Overall safety factor of a restaurant can be assessed from whether the restaurant has basic features such as CCTVs, smoke detectors, fire extinguisher, and emergency exits (Krishnan et al, 2014). External appearance is the first observation that the clients will experience even before getting restaurant (Rande, 1995); Worn-off paint or burnt-out lights may create a poor impression of the restaurant.…”

Section: Table 1 Continuedmentioning

confidence: 99%

Identifying the Image Attributes of Fast-Food Restaurants Using Delphi Survey

Siew¹,

Krishnan²,

Hamid³

2018

LBIBF

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Peopleâ€™s hectic routines have now led to mushrooming of fast-food restaurants (FFRs), especially in urban areas. Therefore, FFR owners need to find ways to control the demand of the market. Image is one of the drivers that influences customer satisfaction, behavior intention, trust, and loyalty. FFR owners should therefore take into account all possible attributes that may affect their image, before executing any improvement strategies. Unfortunately, the image evaluation attributes proposed in past scholarly works appear to be either incomprehensive or highly redundant to each other. This study thus aims at introducing a set of attributes, which are all-inclusive yet distinctive from one another other, which could be utilised by any future studies to evaluate the image of FFRs without too much revision. The study begins by extracting an initial list of image attributes by reviewing pertinent past literature. This tentative list was then verified via a two-round Delphi survey that was participated by 10 well-experienced fast-food restaurateurs. The contribution and limitation of the study are summarised in the conclusion section.

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A Hybrid Multiattribute Decision Making Model for Evaluating Students’ Satisfaction towards Hostels

Cited by 6 publications

References 30 publications

Determinants of Residents Satisfaction from Hostel Facilities

Determinants of Residents Satisfaction from Hostel Facilities

Assessing the qualitative and quantitative performance of hostels and mess for an HEI through multi-criteria decision making

Identifying the Image Attributes of Fast-Food Restaurants Using Delphi Survey

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