scholarly journals A NETNOGRAPHY EXAMINATION OF TRIPADVISOR REVIEWS: A CASE STUDY OF THE ST REGIS HOTEL KUALA LUMPUR

2021 ◽  
Author(s):  
Izyanti Awang Razli ◽  
◽  
Mohd Noor Ismawi Ismail ◽  
Sharifah Damiah Husna Syed Amir Shah ◽  
Hanisah Ismail ◽  
...  
Keyword(s):  
Decision Making ◽  
Online Reviews ◽  
Future Research ◽  
Kuala Lumpur ◽  
Food And Beverages ◽  
Research Organizations ◽  
Guest Satisfaction ◽  
Customer Review ◽  
Product Decision

There has been a growing reliance on consumer generated content as a source of knowledge for hospitality product decision-making. People post their views, ratings, and reviews of products and services on such platforms, and companies and research organizations are interested in analyzing and extracting all of the comments. It is critical for hotels to take advantage of online customer review information in order to better understand their customers and enhance hotel efficiency. However, analyzing guest reviews is challenging as it contains abundance of data. Using The St Regis Kuala Lumpur as a case study, the objective of the paper is to profile the hotel online reviews using a Netnography approach, identify the hotel attributes that guest comment based on the hotel online reviews and examine the guest satisfaction attitude based on the hotel online reviews. A total of 388 reviews from TripAdvisor were collected. The findings revealed that most of the hotel guests who left comments were international tourists, and couples. Many of whom left excellent ratings for the hotel. The findings show there are nine attributes that are frequently mentioned namely, amenities, location, price, service, cleanliness, food and beverages, hotel and room environment. The results also show that guests left both positive and negative reviews in few common categories such as hotel cleanliness, hotel environment and amenities. Among all the attributes mentioned, satisfied guests tended to leave positive comments for things like hotel cleanliness, hotel and room environment, while dissatisfied guests emphasised the amenities or the lack thereof. The findings of this study make several theoretical and managerial inferences with regards to identifying hotel attributes that contribute to guest satisfaction and improves the understanding of what satisfies and dissatisfies guests from the comments left by the guests on TripAdvisor. The paper concludes with limitations and suggests future research.

scholarly journals An Integrated Best-Worst and Interval Type-2 Fuzzy TOPSIS Methodology for Green Supplier Selection

Mathematics ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 182 ◽  
Author(s):  
Melih Yucesan ◽  
Suleyman Mete ◽  
Faruk Serin ◽  
Erkan Celik ◽  
Muhammet Gul
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Fuzzy Topsis ◽  
Future Research ◽  
Negative Effects ◽  
Green Supplier Selection ◽  
Managerial Implications ◽  
Interval Type

Supplier selection is one of the most important multi-criteria decision-making (MCDM) problems for decision-makers in the competitive market. Today’s organizations are seeking new ways to reduce the negative effects they have on the environment and to achieve a greener system. Currently, the concept of green supplier selection has gained great importance for its ability to incorporate environmental or green criteria into classical supplier selection practices. Therefore, in this study, a multi-phase MCDM model based on the best-worst method (BWM) and the interval type-2 fuzzy technique for order preference by similarity to ideal solution (IT2F TOPSIS) is proposed. A case study in a plastic injection molding facility in Turkey was carried out to show the applicability of the proposed integrated methodology. The paper offers insights into decision-making, methodology, and managerial implications. Results of the case study are examined and suggestions for future research are provided.

scholarly journals A Novel Neutrosophic Data Analytic Hierarchy Process for Multi-Criteria Decision Making Method: A Case Study in Kuala Lumpur Stock Exchange

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 53687-53697 ◽  
Author(s):  
Desmond Jun Yi Tey ◽  
Yee Fei Gan ◽  
Ganeshsree Selvachandran ◽  
Shio Gai Quek ◽  
Florentin Smarandache ◽  
...  
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Stock Exchange ◽  
Multi Criteria Decision Making ◽  
Kuala Lumpur ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Data Analytic

Visitor Analysis on Effectiveness of Photographs towards Quality of Life: A case study of the Royal Museum Kuala Lumpur

2020 ◽  
Vol 5 (13) ◽  
Author(s):  
Zahari Zubir ◽  
Prince Favis Isip ◽  
Nurul Alia Ahamad ◽  
Nor Hayati Hussain
Keyword(s):  
Quality Of Life ◽  
Decision Making ◽  
Open Access ◽  
Publishing House ◽  
Kuala Lumpur ◽  
Research Findings ◽  
International Publishing ◽  
Open Access Article

This research investigates the effectiveness of photographs in enhancing, creating attachment and appreciation towards memories of historical events which took place in the former National Palace of Kuala Lumpur. The purpose of this research is to study the effectiveness of the use of photographs for the appreciation of the museum from the visitors' perspective.  The research findings provide recommendations to museum curators and administrators for better decision making on the utilization and display of photographs in the Royal Museum and other museums in general.Keywords: Royal Museum Kuala Lumpur; photographs; appreciation; effectiveness.eISSN: 2398-4287 © 2020. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. 

scholarly journals The effects of accounting knowledge, entrepreneurial traits, and subjective norms on the use of accounting information in investment decision making (case study on MSME actors in Gunungkidul Regency)

2020 ◽  
Vol 2 (2) ◽  
pp. 295
Author(s):  
Firdha Rahmiyanti ◽  
Reza Adellya Pratiwi ◽  
Heny Yuningrum ◽  
Muyassarah Muyassarah
Keyword(s):  
Decision Making ◽  
Quantitative Research ◽  
Investment Decision ◽  
Accounting Information ◽  
Investment Decisions ◽  
Subjective Norms ◽  
Future Research ◽  
Investment Decision Making ◽  
Independent Variable

<p class="IABSSS"><strong>Purpose</strong> - The purpose of this study is to determine the effects of accounting knowledge, entrepreneurial traits, and subjective norms on the use of accounting information on making investment decisions of MSME actors in Gunungkidul Regency.</p><p class="IABSSS"><strong>Method </strong>- This study uses quantitative research methodology by purposive sampling. The gathered data in this study were processed using the SPSS program. This study was carried out on 20 February to 20 March 2020. The population in this study was businessmen of MSMEs in Gunungkidul Regency who had used accounting documentation. The research took 60 respondents as a sample of the study.  </p><p class="IABSSS"><strong>Result</strong> - This study resulted that the variables of accounting knowledge and entrepreneurial traits have a positive and significant effect on the use of accounting information in making investment decisions of MSME actors in Gunungkidul Regency; While the subjective norms variable does not have a positive and significant effect on the use of accounting information in making investment decisions of MSME actors in the Gunungkidul Regency.</p><p class="IABSSS"><strong>Implication</strong> - Future research can expand the object of research in several other regencies and can add other research variables.</p><strong>Originality</strong> - The researchers added an independent variable that is subjective norms and entrepreneurial traits, whereas the previous researchers only used accounting knowledge as the independent variable.

Integration of Fuzzy Logic Techniques into DSS for Profitability Quantification in a Manufacturing Environment

2012 ◽  
pp. 242-261 ◽  
Author(s):  
Irraivan Elamvazuthi ◽  
Pandian Vasant ◽  
Timothy Ganesan
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Production Control ◽  
Future Research ◽  
Manufacturing Environment ◽  
Planning And Scheduling ◽  
Future Research Directions ◽  
Effective Decision ◽  
Effective Decision Making

Production control, planning, and scheduling are forms of decision making, which play a crucial role in manufacturing industries. In the current competitive environment, effective decision-making has become a necessity for survival in the marketplace. This chapter provides insight into the issues relating to integration of fuzzy logic techniques into decision support systems for profitability quantification in a manufacturing environment. The chapter is divided into five sections with a general introduction of the topic, followed by a thorough literature review on the existing techniques. Thereafter, fuzzy logic algorithms using logistic membership functions and resource variables for decision making aiming at quality improvement are discussed. A case study involving a textile firm is then described with the computational results and findings, and finally, future research directions are presented.

Integration of Fuzzy Logic Techniques into DSS for Profitability Quantification in a Manufacturing Environment

2012 ◽  
pp. 171-192 ◽  
Author(s):  
Irraivan Elamvazuthi ◽  
Pandian Vasant ◽  
Timothy Ganesan
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Production Control ◽  
Future Research ◽  
Manufacturing Environment ◽  
Planning And Scheduling ◽  
Future Research Directions ◽  
Effective Decision ◽  
Effective Decision Making

Production control, planning, and scheduling are forms of decision making, which play a crucial role in manufacturing industries. In the current competitive environment, effective decision-making has become a necessity for survival in the marketplace. This chapter provides insight into the issues relating to integration of fuzzy logic techniques into decision support systems for profitability quantification in a manufacturing environment. The chapter is divided into five sections with a general introduction of the topic, followed by a thorough literature review on the existing techniques. Thereafter, fuzzy logic algorithms using logistic membership functions and resource variables for decision making aiming at quality improvement are discussed. A case study involving a textile firm is then described with the computational results and findings, and finally, future research directions are presented.

Implementing an integrated ABC and TOC approach to enhance decision making in a Lean context

2014 ◽  
Vol 31 (8) ◽  
pp. 906-920 ◽  
Author(s):  
Majed Alsmadi ◽  
Ahmad Almani ◽  
Zulfiqar Khan
Keyword(s):  
Decision Making ◽  
Management Accounting ◽  
Real Life ◽  
Future Research ◽  
Research Approach ◽  
Accounting System ◽  
Product Mix ◽  
Content Type ◽  
Action Research Approach

Purpose – The purpose of this paper is to implement an integrated activity-based costing (ABC) and theory of constraints (TOC) approach to enhance decision making in a Lean company. Design/methodology/approach – Based on the literature, this paper proposes an integrated ABC and TOC approach and applies it to a Lean plastic manufacturing company to improve its product-mix decision. Findings – The results of the case study show that the current conventional product-mix decision used by the company and the proposed integrated approach can give significantly different results concerning the optimal product-mix and the associated bottlenecks. Moreover, the paper suggests that managers who implement Lean production without utilising a supportive management accounting system may experience disappointing financial results. Research limitations/implications – The validation of the suggested method is based on a single case study with an action research approach. For future research, the authors suggest the implementation of the approach in different industries. Practical implications – Overall, the integration of ABC and TOC provides managers with an accurate, timely and reliable tool that can help in making decisions about pricing, production line development, process improvements and product-mix. Originality/value – This paper contributes to Lean and management accounting literature by demonstrating the value of a method of integrating ABC and TOC. Also a case study is chosen for the empirical aspect of the study as there are no case studies available in the literature that illustrate a real life case of integrating ABC and TOC within Lean companies as an alternative to the current used cost accounting systems.

scholarly journals AN INTRODUCTION TO PROSPECTIVE MULTIPLE ATTRIBUTE DECISION MAKING (PMADM)

2016 ◽  
Vol 22 (2) ◽  
pp. 309-326 ◽  
Author(s):  
Sarfaraz HASHEMKHANI ZOLFANI ◽  
Reza MAKNOON ◽  
Edmundas Kazimieras ZAVADSKAS
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Multiple Attribute Decision Making ◽  
Future Research ◽  
New Approach ◽  
Multiple Attribute ◽  
The Future ◽  
Science Community ◽  
Future Topics

In recent years futures science has received a great deal of attention and has gained worldwide credibility in the science community as the science of tomorrows. The countless applications of futures studies in various fields have been a major breakthrough for mankind. Undoubtedly, decision making is one of the most significant aspects of shaping the future and an integral part of any credible future research. Multiple Criteria Decision Making (MCDM) in general and Multiple Attribute Decision Making in particular (MADM), are among the most remarkable subparts of the decision making process. The most recent model developed using the MADM method is the Dynamic MADM. The model does not specifically concentrate on the future actions and approaches and remains to be fully explored. This research presents a new concept and a new approach in the MADM field which is called the Prospective Multiple Attribute Decision Making (PMADM). The PMADM model can very well cover the DMADM concept but instead chooses to focus on future topics. The study also introduces two new approaches. The first research aims to elaborate the basis of this model and then evolves to deal with the future limiters as they potentially pop up and change the course of future actions. The new model based on future limiters is separated and categorized into two sections; one of which is looked upon without the probabilities rate and the other one with the probabilities rate. This approach is deemed priceless due to its major applicability in the ranking of the MADM methods such as: TOPSIS, VIKOR, COPRAS, ARAS, WASPAS and etc. Finally, a case study with the various applications of PMADM model in WASPAS methodology is put forth and illustrated.

“8A” framework for value stream selection – an empirical case study

2018 ◽  
Vol 31 (5) ◽  
pp. 1001-1026 ◽  
Author(s):  
Gopalakrishnan Narayanamurthy ◽  
Anand Gurumurthy ◽  
Roger Moser
Keyword(s):  
Decision Making ◽  
Future Research ◽  
Multi Criteria Decision Making ◽  
Case Study Methodology ◽  
Content Type ◽  
Value Stream ◽  
A Value ◽  
Educational Institute ◽  
Case Organization

Purpose Before initiating the implementation of change for transforming and improving an organization through lean thinking (LT), it has to first select a right value stream. Several implementation studies have been documented in literature, but not many studies have addressed this issue of value stream selection. The purpose of this paper is to propose and empirically validate a framework for selecting a value stream to implement LT. Design/methodology/approach 8A framework is proposed by reviewing the literature on LT implementation case studies. Single case study methodology has been adopted to validate the application of 8A framework for selecting a value stream in an Indian educational institute. Since multiple qualifiers are considered simultaneously, a multi-criteria decision-making approach has been employed for choosing the value stream. Findings Utility of the proposed 8A framework for value stream selection was confirmed through its successful application in an educational institute. Out of three alternatives in the case organization, the teaching alternative was chosen for further LT implementation based on the application of 8A framework. Qualitative cross-validation and sensitivity analysis also confirmed the robustness of the value stream selection made using the 8A framework. Research limitations/implications Framework proposed in this study comprehensively captures the important qualifiers that were overlooked by the widely adopted first tenet of LT. Future research can attempt to generalize the applicability of 8A framework in different contexts including manufacturing, healthcare, software development, etc. A further study can be carried out in two similar case organizations or in two value streams of the same case organization (say in two different plants) to compare the differences in the outcome of lean implementation when one chooses its value stream for LT implementation without the application of the proposed framework, while another chooses it by applying the 8A framework. Practical implications Through structured evaluation of the comprehensive set of qualifiers in 8A framework using a multi-criteria decision making model, an informed decision can be taken by the practitioners in selecting a value stream from the available alternatives before proceeding with the implementation of LT. Originality/value After questioning the existing procedure of value stream selection for LT implementation, this study is the first to propose and validate an 8A framework that overcomes the limitations of the existing procedure. Study is also unique in the choice of the case organization as not many research papers have documented implementation of LT from the context of educational institutes.

scholarly journals Exposure Elements in Disaster Databases and Availability for Local Scale Application: Case Study of Kuala Lumpur, Malaysia

2021 ◽  
Vol 9 ◽  
Author(s):  
Nurfashareena Muhamad ◽  
Siti Hasniza M. Arshad ◽  
Joy Jacqueline Pereira
Keyword(s):  
Decision Making ◽  
Open Access ◽  
Spatial Data ◽  
Local Scale ◽  
Informed Decision Making ◽  
Kuala Lumpur ◽  
National System ◽  
Basic Services ◽  
The City

Exposure elements in open-access disaster databases that are relevant to critical infrastructure and basic services in the Sendai Framework on Disaster Risk Reduction (SFDRR) were transformed into spatial data, to investigate the impact of flash flood hazards in Kuala Lumpur, Malaysia. In this era of big data and hyper-connectivity, the availability of open-access data on exposure elements across scales and systems is largely unknown. Information on exposure elements and hazard susceptibility provide important insights to enhance community resilience, to move away from merely managing disasters to managing the risk of disasters, in line with the SFDRR. The case study of Kuala Lumpur enabled an assessment of information availability in existing disaster databases and within the national system, to facilitate informed decision-making. Findings reveal that there are a total of 26 databases on the internet that provide information on disasters and related elements; of which 18 are global, three are regional and four provide information at the national scale. However, only ten databases are open access where the user is able to easily retrieve information while others provide a “view only option”. The coverage of exposure elements in disaster databases is very poor where only five databases carried such information; and it is not useful for local scale application. Thus, information was sought from multiple open data sources within the national system and transformed into spatial data, to develop an exposure element data inventory for the city. There are 509 exposure elements within Kuala Lumpur, covering 33 private and government hospitals and community clinics; 189 public and private schools and institutions higher education; 261 facilities that provide basic services; and 26 features that represent of social and economic aspects. The exposure elements, which is coherent with the SFDRR, benefits decision-making when overlain with existing flood hazard zones and susceptible areas. Moving forward, emerging hazards due to climate change will be evaluated to strengthen informed decision-making and build community resilience in the city. The empowerment of local level research has great potential to advance open sharing of information on disaster and climate risks in the region.

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