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1 – 10 of over 24000
Article
Publication date: 8 May 2017

Krisztina Rita Dörnyei, Athanasios Krystallis and Polymeros Chrysochou

This paper aims to investigate the impact of assortment size and attribute quantity on the depth and content of consumer information searches.

1778

Abstract

Purpose

This paper aims to investigate the impact of assortment size and attribute quantity on the depth and content of consumer information searches.

Design/methodology/approach

For a computer-aided experiment using an information display board, participants (n = 393) were placed in a simulated shopping situation that involved choosing a product among three sets of frequently purchased, low-involvement, FMCG alternatives.

Findings

The findings show that when the assortment size increases, consumers acquire information from more products and cues but sacrifice product attributes. In particular, this sacrifice comes at the expense of secondary product attributes (e.g. nutrition information, country of origin), whereas primary product attributes (e.g. brand name, price) remain constant. Attribute quantity does not have a significant effect on information search.

Practical implications

Provided that several strategies rely on providing more information to consumers with the aim of making more deliberate and better choices, the findings suggest that they may have a limited effect in product categories in which the assortment size is wide. The authors discuss the implications for category management and public policy.

Originality/value

Information searches are measured by means of three different variables (searched cues, searched products and searched attributes), which enable a more complex exploration of the consumer information search process.

Details

Journal of Consumer Marketing, vol. 34 no. 3
Type: Research Article
ISSN: 0736-3761

Keywords

Article
Publication date: 11 September 2017

Karen Xie and Zhenxing Mao

With the prevalence of the sharing economy phenomenon, there are an increasing number of hosts on Airbnb who manage more than one listing. Managing more listings likely…

4437

Abstract

Purpose

With the prevalence of the sharing economy phenomenon, there are an increasing number of hosts on Airbnb who manage more than one listing. Managing more listings likely makes hosts more seasoned in terms of serving guests, but it may undermine host quality due to hosts’ constrained capability. This paper aims to examine the effects of host quality attributes and the number of listings per host on the reservation performance of these listings.

Design/methodology/approach

Using a large-scale but granular data set of 5,805 active listings of 4,608 Airbnb hosts in Austin, Texas, this study estimates the effects of host attributes (host quality and listing quantity) on the performance of the hosts’ Airbnb listings through a blend of regression models.

Findings

This study evidences that host quality attributes significantly influence listing performance through cue-based trust. In addition, this study finds a “trade-off” between host quality and the quantity of their listings. As the number of listings managed by a host increases, the performance effects of host quality diminish.

Research limitations/implications

The business implications of this study include the suggestion that sharing economy businesses such as Airbnb should sustain service quality through incentivizing hosts to improve host quality while balancing the quantity of listings managed.

Originality/value

This study contributes to the literature through its meaningful theoretical extension in the sharing economy context and unique data-driven insights enabled by an analytical approach. It addresses the critical but less researched topic of host quality and listing quantity and generates important practical business and policy implications.

Details

International Journal of Contemporary Hospitality Management, vol. 29 no. 9
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 4 September 2007

Yee‐Ming Chen and Pei‐Ni Huang

This paper seeks to propose a new approach for tackling the uncertainty and imprecision of identifying suitable supplier offers, evaluating these offers and choosing the…

1747

Abstract

Purpose

This paper seeks to propose a new approach for tackling the uncertainty and imprecision of identifying suitable supplier offers, evaluating these offers and choosing the best alternatives in bi‐negotiation. In a build‐to‐order supply chain, the handling of uncertainties is addressed by a real time information sharing system and appropriate supplier selection.

Design/methodology/approach

A methodology integrated analytic hierarchy process (AHP) with bi‐negotiation agents based on the multi‐criteria decision‐making approach and software agent technique is then developed to take into account both qualitative and quantitative factors in supplier selection.

Findings

During the decision‐making between buyer and suppliers, the AHP process matches product characteristics with supplier characteristics. Next, agents assist the user in the debate to negotiate a joint representation of the supplier chosen and automatically justify proposals with this joint representation.

Originality/value

This study focused on a multi‐attribute negotiation mechanism including qualitative conditions, which enables automated negotiation on multiple attributes. Finally, a fuzzy membership function represented the joint representation's cognition for each condition such as quantity, price, quality, and delivery for the outsourced component. A case study in a high‐end computer manufacturing company is given to demonstrate the potential of the methodology.

Details

Benchmarking: An International Journal, vol. 14 no. 5
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 4 January 2013

Heng Ma and Hung‐Yu Cheng

The purpose of this paper is to effectively deal with querying of classification with membership.

Abstract

Purpose

The purpose of this paper is to effectively deal with querying of classification with membership.

Design/methodology/approach

The authors propose a scheme comprising a layer of Bloom filter for membership checking and a second layer based on neural network for dealing with the classification requirement.

Findings

Not only could false positives be dramatically decreased, but also classification could be achieved with the proposed scheme.

Research limitations/implications

The experimental data were randomly generated instead of real‐world ones.

Practical implications

It is difficult to implement this scheme in a real‐world environment, such as the internet. Second, the neural network requires time to converge to a satisfactory level.

Social implications

Internet ethic might be compromised by hackers once they find a way around the filtering mechanism.

Originality/value

The neural network was moditified and utilized for the first time to be suitable for our purpose. Second, the two‐layer design shows effectiveness.

Details

Kybernetes, vol. 42 no. 1
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 3 April 2017

Christopher Bitter and Andy Krause

The purpose of this study is to examine the impact of neighborhood design templates on residential home values in King County, WA, USA. Previous research examines a number…

Abstract

Purpose

The purpose of this study is to examine the impact of neighborhood design templates on residential home values in King County, WA, USA. Previous research examines a number of individual design factors; this study combines these factors into typologies and tests for the impacts of the composite set of design features.

Design/methodology/approach

The study analyzes over 27,000 home sales with a hedonic price model to measure the impacts across three large, regional submarkets. Neighborhood design categories are developed using a cluster analysis on a set of individual neighborhood attributes.

Findings

The key finding from this research is that the impact of more traditional (“urban”) design packages on home values is highly contextual. For the older and denser neighborhoods in the study area, a more traditional design results in a significantly positive impact on home values. In the new and more suburban regions of the study area, this effect is not found.

Originality/value

Prior work focused on valuing design attributes individually. The study argues that neighborhood design is better conceived of as a “package”, as the value of a given design element may depend on other co-located attributes. This is the first study, to the authors’ knowledge, to treat physical neighborhood design variables as a composite whole and to attempt to value their impact on home values as such.

Details

International Journal of Housing Markets and Analysis, vol. 10 no. 2
Type: Research Article
ISSN: 1753-8270

Keywords

Article
Publication date: 1 February 1997

Edward Shinnick

Reviews the development of Irish housing policy from the eighteenth century to the present. Emphasizes the importance of measuring quality in housing, where housing may be…

1334

Abstract

Reviews the development of Irish housing policy from the eighteenth century to the present. Emphasizes the importance of measuring quality in housing, where housing may be described by a vector of measured characteristics. Undertakes a detailed price determination of these various characteristics using a hedonic model. Explains observed house prices in terms of the various housing characteristics using a hedonic model, from which a set of implicit or “hedonic” prices emerges. Reviews the theoretical basis of such an approach and develops a model specifically for aggregated data, as other studies in this area used disaggregated models. Obtains quantitative estimates of the qualitative and quantitative characteristics of the housing bundle before and after a series of model transformations. The results indicate the premium associated with certain housing characteristics. They emphasize, in particular, the importance of floor area and location in determining new Irish estate house prices.

Details

Journal of Economic Studies, vol. 24 no. 1/2
Type: Research Article
ISSN: 0144-3585

Keywords

Article
Publication date: 3 May 2019

Fernando Antonio Monteiro Christoph D’Andrea, Filipe Rigon, Ana Carolina Lopes de Almeida, Bertran da Silveira Filomena and Luiz Antonio Slongo

The purpose of this paper is to qualitatively analyze and compare people’s objectives when participating in two sets of co-creation initiatives – business-to-consumer…

1780

Abstract

Purpose

The purpose of this paper is to qualitatively analyze and compare people’s objectives when participating in two sets of co-creation initiatives – business-to-consumer (B2C) and business-to-business (B2B) – to what the theory in the field states about that participation.

Design/methodology/approach

A qualitative approach has been adopted; it uses laddering, a qualitative technique, in a novel manner through the analysis of an abstract product: the co-creation process.

Findings

Results in B2C point to a disconnection between the motivation of participants and what the theory suggests that should be expected from a co-creation agenda. In the B2B setting, the disconnections are much smaller.

Research limitations/implications

The research used small and narrow samples. Additionally, the research considers only the consumers’ perspective.

Practical implications

Considering the context in which they compete (industrial or consumer market), companies must come up with better selection criteria for co-creators and must be more specific in setting and pursuing the goals of the co-creation projects. By doing so, organizations can achieve more fruitful results in those innovation initiatives.

Originality/value

The present study is innovative in the use of laddering to understand not a product nor a service, but a process: co-creation. The study reveals that, despite the buzz about co-creation, practical examples suggest that this process may not be as fruitful or satisfying as the theories suggest.

Details

Marketing Intelligence & Planning, vol. 37 no. 6
Type: Research Article
ISSN: 0263-4503

Keywords

Article
Publication date: 25 October 2021

Danni Chen, JianDong Zhao, Peng Huang, Xiongna Deng and Tingting Lu

Sparrow search algorithm (SSA) is a novel global optimization method, but it is easy to fall into local optimization, which leads to its poor search accuracy and…

159

Abstract

Purpose

Sparrow search algorithm (SSA) is a novel global optimization method, but it is easy to fall into local optimization, which leads to its poor search accuracy and stability. The purpose of this study is to propose an improved SSA algorithm, called levy flight and opposition-based learning (LOSSA), based on LOSSA strategy. The LOSSA shows better search accuracy, faster convergence speed and stronger stability.

Design/methodology/approach

To further enhance the optimization performance of the algorithm, The Levy flight operation is introduced into the producers search process of the original SSA to enhance the ability of the algorithm to jump out of the local optimum. The opposition-based learning strategy generates better solutions for SSA, which is beneficial to accelerate the convergence speed of the algorithm. On the one hand, the performance of the LOSSA is evaluated by a set of numerical experiments based on classical benchmark functions. On the other hand, the hyper-parameter optimization problem of the Support Vector Machine (SVM) is also used to test the ability of LOSSA to solve practical problems.

Findings

First of all, the effectiveness of the two improved methods is verified by Wilcoxon signed rank test. Second, the statistical results of the numerical experiment show the significant improvement of the LOSSA compared with the original algorithm and other natural heuristic algorithms. Finally, the feasibility and effectiveness of the LOSSA in solving the hyper-parameter optimization problem of machine learning algorithms are demonstrated.

Originality/value

An improved SSA based on LOSSA is proposed in this paper. The experimental results show that the overall performance of the LOSSA is satisfactory. Compared with the SSA and other natural heuristic algorithms, the LOSSA shows better search accuracy, faster convergence speed and stronger stability. Moreover, the LOSSA also showed great optimization performance in the hyper-parameter optimization of the SVM model.

Details

Assembly Automation, vol. 41 no. 6
Type: Research Article
ISSN: 0144-5154

Keywords

Article
Publication date: 19 December 2019

Sergio Evangelista Silva, Luciana Paula Reis, June Marques Fernandes and Alana Deusilan Sester Pereira

The purpose of this paper is to introduce a multi-level framework for semantic modeling (MFSM) based on four signification levels: objects, classes of entities, instances…

Abstract

Purpose

The purpose of this paper is to introduce a multi-level framework for semantic modeling (MFSM) based on four signification levels: objects, classes of entities, instances and domains. In addition, four fundamental propositions of the signification process underpin these levels, namely, classification, decomposition, instantiation and contextualization.

Design/methodology/approach

The deductive approach guided the design of this modeling framework. The authors empirically validated the MFSM in two ways. First, the authors identified the signification processes used in articles that deal with semantic modeling. The authors then applied the MFSM to model the semantic context of the literature about lean manufacturing, a field of management science.

Findings

The MFSM presents a highly consistent approach about the signification process, integrates the semantic modeling literature in a new and comprehensive view; and permits the modeling of any semantic context, thus facilitating the development of knowledge organization systems based on semantic search.

Research limitations/implications

The use of MFSM is manual and, thus, requires a considerable effort of the team that decides to model a semantic context. In this paper, the modeling was generated by specialists, and in the future should be applicated to lay users.

Practical implications

The MFSM opens up avenues to a new form of classification of documents, as well as for the development of tools based on the semantic search, and to investigate how users do their searches.

Social implications

The MFSM can be used to model archives semantically in public or private settings. In future, it can be incorporated to search engines for more efficient searches of users.

Originality/value

The MFSM provides a new and comprehensive approach about the elementary levels and activities in the process of signification. In addition, this new framework presents a new form to model semantically any context classifying its objects.

Article
Publication date: 5 February 2018

Jong Woo Choi, Chengyan Yue, James Luby, Shuoli Zhao, Karina Gallardo, Vicki McCracken and Jim McFerson

Development of new cultivars requires extensive genetic knowledge, trained personnel, and significant financial resources, so it is crucial for breeders to focus on the…

Abstract

Purpose

Development of new cultivars requires extensive genetic knowledge, trained personnel, and significant financial resources, so it is crucial for breeders to focus on the attributes most preferred by the key supply chain stakeholders such as consumers and producers. The purpose of this paper is to identify which attributes generate the highest total revenue or social surplus, information that breeders can take into account as they allocate resources to focus on attributes in their breeding programs.

Design/methodology/approach

This study used mail-in and online surveys to collect consumer and producer choice experiment data, and then employed mixed logit models to analyze and simulate individual producer and consumer willingness to pay (WTP) for the apple attributes.

Findings

Based on the simulation results, this study derived the supply and demand curves and the market equilibrium prices and quantities for each apple attribute. Based on the WTP analysis for both consumer and producer, this paper found the highest equilibrium price and welfare for apples come from crispness, followed by flavor.

Originality/value

The authors propose a framework to estimate the equilibrium prices and quantities of a product based on the results of choice experiments. The framework can be easily adapted to understand any countries’ producer and consumer preferences for certain products.

Details

China Agricultural Economic Review, vol. 10 no. 1
Type: Research Article
ISSN: 1756-137X

Keywords

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