scholarly journals The Achilles tendon of dynamic pricing –– the effect of consumers' fairness preferences on platform's dynamic pricing strategies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yong Wang ◽  
Tianze Tang ◽  
Weiyi Zhang ◽  
Zhen Sun ◽  
Qiaoqin Xiong
Keyword(s):  
Decision Making ◽  
Dynamic Pricing ◽  
Design Methodology ◽  
Repeated Game ◽  
Decision Making Process ◽  
Pricing Strategies ◽  
Content Type ◽  
Fair Game ◽  
Game Dynamic ◽  
Repeated Game Theory

PurposeIn this paper, the authors study the effect of consumers' fairness preferences on dynamic pricing strategies adopted by platforms in a non-cooperative game.Design/methodology/approachThis study applies fair game and repeated game theory.FindingsThis study reveals that, in a one-shot game, if consumers have fairness preferences, dynamic prices will slightly decline. In a repeated game, dynamic prices will be reduced even when consumers do not have fairness preferences. When fairness preferences and repeated game are considered simultaneously, dynamic prices are most likely to be set at fair prices. The authors also discuss the effect of platforms' discounting factors, the consumers' income and alternative choices of consumption on the dynamic prices.Research limitations/implicationsThe study findings illustrate the importance of incorporating behavioral elements in understanding and designing the dynamic pricing strategies for platforms and the implications on social welfare in general.Originality/valueThe authors developed a theoretical model to incorporate consumers' fairness preference into the decision-making process of platforms when they design the dynamic pricing strategies.

Evaluation of barriers in the adoption of halal certification: a fuzzy DEMATEL approach

2019 ◽  
Vol 14 (1) ◽  
pp. 153-174 ◽  
Author(s):  
Shahbaz Khan ◽  
Mohd Imran Khan ◽  
Abid Haleem
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Specific Region ◽  
Integrative Approach ◽  
Decision Making Process ◽  
Management Support ◽  
Fuzzy Dematel ◽  
Content Type ◽  
Certification System ◽  
Expert’S Opinion

PurposeHigher level of customer satisfaction for halal products can be achieved by the effective adoption of halal certification through assessment and accreditation (HCAA). There are certain issues that seem detrimental towards the adoption of HCAA. The purpose of this paper is to identify the major barriers towards the adoption of HCAA and evaluate inter-relationships among them for developing the strategies to mitigate these barriers.Design/methodology/approachThe barriers towards the adoption of HCAA are identified through an integrative approach of literature review and expert’s opinion. The inter-relationship among the identified barriers is evaluated using fuzzy-based decision-making trial and evaluation laboratory (fuzzy DEMATEL) technique, which categorises them into influential and influenced group.FindingsThe evaluation of inter-relationship among barriers using fuzzy DEMATEL indicates four influencing barriers and six influenced barriers towards the adoption of HCAA. Further, findings suggest an extensive government, and management support is vital in terms of commitment, resources and actions to realise the benefits attributed with HCAA.Research limitations/implicationsThe inter-relationship among barriers is contextual and based on the perception of experts which may be biased as per their background and area of expertise. This study pertains to a specific region and can be extended to the generalised certification system.Originality/valueThe empirical base of the research provides the inter-relationship among the barriers towards the adoption of HCAA which can be effectively used as input in the decision-making process by producers, manufacturers and distributor. The policy maker can analyse the cause group and effect group of barriers to formulate policies that would help in the adoption of HCAA.

Evaluation of the adaptive reuse potential of historic buildings and proposition of preventive-protective measures

2020 ◽  
Vol 38 (3) ◽  
pp. 493-507
Author(s):  
Ali Asghar Sharifi ◽  
Amir Hossein Farahinia
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Qualitative Method ◽  
Adaptive Reuse ◽  
Decision Making Process ◽  
Historic Buildings ◽  
Protective Measures ◽  
Content Type ◽  
Viable Solution ◽  
Useful Life

PurposeThis study aims to render a pattern for heritage restoration in the context of reusing historic buildings, to assist the authorities with decision-making process on the most appropriate time during the building’s life cycle. Here, the adaptive reuse potential (ARP) model is used to find the most appropriate time for adaptive reuse and calculating the useful life as well as the potentiality of the Amir Nezam House so a viable solution can be put forward.Design/methodology/approachIn this research, a quantitative and qualitative method is adopted to evaluate the useful life and potentiality of the Amir Nezam House of Tabriz to determine the most appropriate time for next intervention.FindingsResults show that the potential (ARP score) of the Amir Nezam House is increasing, the value of which will be greater than 50 percent by the next few years. Evaluations show that the most appropriate time for further intervention is the year 2035.Originality/valueThe significance of this research lies within the objective of proposing a preventive and protective schedule for historic buildings before they reach their life expectancy with an emphasis on environmental, economic, social and functional sustainability as well as environmental impacts. ARP model has been applied to implement this concept in the Amir Nezam House, Tabriz, Iran.

An enhanced algorithm for calculating the degree of greyness of interval grey numbers and its application

Kybernetes ◽  
2019 ◽  
Vol 49 (6) ◽  
pp. 1721-1740
Author(s):  
Shuaishuai Geng ◽  
Yu Feng ◽  
Yaoguo Dang ◽  
Junjie Wang ◽  
Rizwan Rasheed
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Decision Making Process ◽  
Content Type ◽  
Operational Mechanism ◽  
Operation Process ◽  
Algebraic Operations ◽  
Grey Number ◽  
Operation Results ◽  
Selection Of

Purpose This paper aims to propose an enhanced algorithm and used to decision-making that specifically focuses on the choice of a domain in the calculation of degree of greyness according to the principle of grey numbers operation. The domain means the emerging background of interval grey numbers, it is vital for the operational mechanism of such interval grey numbers. However, the criteria of selection of domain always remain same that is not only for the calculated grey numbers but also for the resultant grey numbers, which can be assumed as unrealistic up to a certain extent. Design/methodology/approach The existence of interval grey number operation based on kernel and the degree of greyness containing two calculation aspects, which are kernel and the degree of greyness. For the degree of greyness, it includes concepts of domain and calculation of the domain. The concepts of a domain are defined. The enhanced algorithm is also comprised of four deductive theorems and eight rules that are linked to the properties of the enhanced algorithm of the interval grey numbers based on the kernel and the degree of greyness. Findings Aiming to improve the algorithm of the degree of greyness for interval grey numbers, based on the variation of domain in the operation process, the degree of greyness of the operation result is defined in this paper, and the specific expressions for algebraic operations are given, which is relevant to the kernel, the degree of greyness and the domain. Then, these expressions are used to the algorithm of interval grey numbers based on the kernel and the degree of greyness, improving the accuracy of the operation results. Originality/value The enhanced algorithm in this paper can effectively reduce the loss of information in the operation process, so as to avoid the situation where the decision values are the same and scientific decisions cannot be made during the grey evaluation and decision-making process.

Use of dynamic pricing strategies by Airbnb hosts

2018 ◽  
Vol 30 (1) ◽  
pp. 2-20 ◽  
Author(s):  
Chris Gibbs ◽  
Daniel Guttentag ◽  
Ulrike Gretzel ◽  
Lan Yao ◽  
Jym Morton
Keyword(s):  
Dynamic Pricing ◽  
Design Methodology ◽  
Sharing Economy ◽  
Host Factors ◽  
Pricing Strategies ◽  
High Demand ◽  
Content Type ◽  
Multiple Markets ◽  
Hotel Managers ◽  
Practical Implications

Purpose The purpose of this paper is to provide a comprehensive analysis of dynamic pricing by Airbnb hosts. Design/methodology/approach This study uses attribute and sales information from 39,837 Airbnb listings and hotel data from 1,025 hotels across five markets to test different hypotheses which explore the extent to which Airbnb hosts use dynamic pricing and how their pricing strategies compare to those of hotels. Findings Airbnb is a unique and complex platform in terms of dynamic pricing where hosts make limited use of dynamic pricing strategies, especially as compared to hotels. Notwithstanding their limited use, hosts who own listings in high-demand leisure markets, manage entire places, manage more listings and have more experience vary prices the most. Practical implications This study identified a great need for Airbnb to encourage dynamic pricing among its hosts, but also warned of the potential perils of dynamic pricing in the sharing economy context. The findings also demonstrated challenges for hotel managers interested in actionable information related to Airbnb as a competitor. Originality/value This is the first Airbnb study to use a comprehensive set of data over a continuous period in multiple markets to look at a number of listing and host factors and determine their relation with dynamic pricing strategies.

Taking librarians off the desk: one library changes its reference desk staffing model

2015 ◽  
Vol 16 (1) ◽  
pp. 18-27 ◽  
Author(s):  
Timothy Peters
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Statistical Data ◽  
Decision Making Process ◽  
Service Model ◽  
Content Type ◽  
Staffing Model ◽  
Central Michigan University ◽  
Reference Service

Purpose – This paper is a case study of the decision at Central Michigan University to take librarians off the reference desk. Departmental data on reference desk traffic and other ancillary functions of the reference department was used to make the case for removing the librarians from the desk. Data collected since the decision was made has supported the decision to move to an on-call reference desk staffing model. The paper aims to discuss these issues. Design/methodology/approach – The department reviewed and analyzed data on reference desk transactions of all types from previous years to inform its decision making. Data trends and an analysis of the nature of the questions asked at the reference desk were instrumental in the analysis. Findings – The department determined that the statistical data justified the removal of the librarians from the reference desk. Data collected since moving to the on-call model supports the earlier decision. Originality/value – This paper provides libraries considering their own desk staffing models with a discussion of another library’s decision-making process and evidence of a successful migration to a new reference service model.

Reducing construction material cost by optimizing buy-in decision that accounts the flexibility of non-critical activities

2018 ◽  
Vol 25 (8) ◽  
pp. 1092-1108 ◽  
Author(s):  
Junna Meng ◽  
Jinghong Yan ◽  
Bin Xue ◽  
Jing Fu ◽  
Ning He
Keyword(s):  
Neural Network ◽  
Decision Making ◽  
Design Methodology ◽  
Construction Material ◽  
Decision Making Process ◽  
Content Type ◽  
Material Cost ◽  
Starting Date ◽  
The Right ◽  
Start Dates

Purpose The goal of making buy-in decisions is to purchase materials at the right time with the required quantity and a minimum material cost (MC). To help achieve this goal, the purpose of this paper is to find a way of optimizing the buy-in decision with the consideration of flexible starting date of non-critical activities which makes daily demand adjustable. Design/methodology/approach First, a specific algorithm is developed to calculate a series of demand combinations modeling daily material demand for all the possible start dates. Second, future material prices are predicted by applying artificial neural network. Third, the demand combinations and predicted prices are used to generate an optimal buy-in decision. Findings By comparing MC in situation when non-critical activities always start at the earliest date to that in situations when the starting date is flexible, it is found that making material buy-in decision with the consideration of the flexibility usually helps reduce MC. Originality/value In this paper, a material buy-in decision-making method that accounts non-critical activities’ flexible starting date is proposed. A ternary cycle algorithm is developed to calculate demand combinations. The results that making material buy-in decision considering non-critical activities’ flexible starting date can reduce MC in most times indicates that contractors may consider non-critical activities’ flexibility a part of the buy-in decision-making process, so as to achieve an MC decrease and profit increase.

Utilising ontology for “heteregeneous data analysis in organizational goals”

2019 ◽  
Vol 15 (3) ◽  
pp. 310-323
Author(s):  
Tengku Adil Tengku Izhar ◽  
Bernady O. Apduhan ◽  
Torab Torabi
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Design Methodology ◽  
Decision Making Process ◽  
Time Data ◽  
Content Type ◽  
Organizational Goals ◽  
Dependency Relationship ◽  
Operational Level ◽  
The Relationship

Purpose The purpose of this paper is to assess the level of the organizational goal accomplishment by assessing the reliance relationship between organizational data and organizational goals. Design/methodology/approach The evaluation of the organizational goals is based on design and operational level, which can serve in ranking of the organizational goals achievement and hence assist the decision-making process in achieving the organizational goals. To achieve this aim, the authors propose an ontology to develop the relationship between organizational data and organizational goals. Findings Data goals dependency shows the dependency relationship between organizational data and organizational goals. At the same time, data goals dependency assists the process of identifying data attributes, where the authors suggest that these data attributes are relevant in relation to the organizational goals. Originality/value The contribution of this paper will serve as the first step to evaluate the relevance of organizational data to assist decision-making in relation to the organizational goals.

Planning for relocation in recovery after the Great East Japan Earthquake

2014 ◽  
Vol 5 (3) ◽  
pp. 243-259 ◽  
Author(s):  
Elizabeth Maly ◽  
Eiko Ishikawa
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Direct Observation ◽  
Design Methodology ◽  
Great East Japan Earthquake ◽  
Decision Making Process ◽  
International Context ◽  
Content Type ◽  
Key Issues ◽  
Post Disaster

Purpose – This paper aims to consider the current situation of relocation in Japan after the 2011 Great East Japan Earthquake (GEJE) in the context of past examples and post-disaster housing relocation projects in other countries. Design/methodology/approach – Information about international cases of post-disaster housing relocation was gathered though desk and literature review, supplemented by field visits to the sites for direct observation and interviews with people involved in the relocation projects. Findings – To be successful, residential relocation must consider livelihood, especially in regards to location. Involvement of the residents in the planning and decision making process creates housing relocation projects that better meet residents’ needs. Japan faces some unique challenges, yet shares commonalities with other countries, for example, in tsunami-stricken fishing areas. Housing relocation in Tohoku must strive to be accountable to the needs of the residents and the specific contexts of their communities. Originality/value – There is still a limited amount of literature in English that considers the issues of relocation in recovery after the GEJE in an international context, especially comprehensive comparisons with multiple countries. Although this paper does not deal with each international case in great detail, the comparison provides a good overview of the key issues for residents in post-disaster relocation, and suggests how lessons from international cases could be applied to the challenges that Japan currently faces in relocation planning in the Tohoku region.

scholarly journals A decision-making support model for enterprises localization strategies

2014 ◽  
Vol 16 (1) ◽  
pp. 33-59
Author(s):  
Marzia Morena ◽  
Maria Luisa Del Gatto ◽  
Anna Gornati
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Location Choice ◽  
The Other ◽  
Location Decisions ◽  
Decision Making Process ◽  
Key Factors ◽  
Content Type ◽  
Development Scenarios ◽  
The One

Purpose – The paper aims at describing a supporting model for the decision-making process that may steer the location decisions of international businesses. This is made possible by a measurement system where the characteristics of a territory are assessed with reference to some key factors that are internationally known to investors, to the aim of spotting the best location to implement a property investment. Design/methodology/approach – The surveys analysed when producing this paper highlighted the presence of internationally renowned and shared factors that the enterprises generally take into consideration in their decision-making process, and which strongly influence the decision to locate a business in a territory to the detriment of another. By adopting and organizing these “key factors” in a systemic way, the model introduced in this paper supports enterprises in their location choice. It analyses and measures some territorial contexts (with no limits regarding their size) based on the scores assigned to these contexts after the analysis of the 12 key factors. Findings – The analysis had two outputs: on the one hand, its results allowed to check whether the areas are actually in line with the expectations and with the requirements of a potential investor, with reference to the activity that such investor is willing to promote; on the other, the identification of the characteristics of the area provides the basis to define the vocation of the areas under examination, thus helping the drawing of future development scenarios. Originality/value – The surveys analysed when producing this paper highlighted the presence of internationally renowned and shared factors that the enterprises generally take into consideration in their decision-making process, and which strongly influence the decision to locate a business in a territory to the detriment of another.

The efficacy of the theory of planned behavior for predicting intentions to choose a travel destination: a review

2016 ◽  
Vol 71 (2) ◽  
pp. 135-147 ◽  
Author(s):  
Sergey Yuzhanin ◽  
David Fisher
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Theory Of Planned Behaviour ◽  
Decision Making Process ◽  
Comprehensive Understanding ◽  
Planned Behaviour ◽  
Content Type ◽  
Behavioural Intentions ◽  
Travel Destination ◽  
Tpb Model

Purpose The theory of planned behaviour (TPB) considers the interrelationship between such concepts as beliefs, attitudes, norms, intentions and behaviour (Ajzen, 1991; Ajzen and Fishbein, 1975). Based on a review of academic sources, this paper aims to analyse the efficacy of the TPB for predicting people’s intentions when choosing a travel destination. Design/methodology/approach Surprisingly, only 15 studies were identified that used TPB to predict the choice of travel destination, though the theory has been used in other areas of tourism analysis. Findings Mixed results were found in the studies. Therefore, the adequacy of the TPB for predicting travellers’ intentions of choosing a destination may be questioned. However, there is nothing in the TPB suggesting that all the constructs of the model must contribute equally, significantly and simultaneously to behavioural intentions. Originality/value To achieve a more comprehensive understanding of the intentions in question, the TPB model may have to be extended to suit different settings. The decision-making process of choosing a destination is a complicated one; therefore, researchers’ attention should not only consider travellers’ intentions but also the direct effect of intentions on the actual behaviour.

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