Search results1 – 10 of 675
This paper aims to define the class of fragment constructive heuristics used to compute feasible solutions for the traveling salesman problem (TSP) into edge-greedy and…
This paper aims to define the class of fragment constructive heuristics used to compute feasible solutions for the traveling salesman problem (TSP) into edge-greedy and vertex-greedy subclasses. As these subclasses of heuristics can create subtours, two known methodologies for subtour elimination on symmetric instances are reviewed and are expanded to cover asymmetric problem instances. This paper introduces a third novel subtour elimination methodology, the greedy tracker (GT), and compares it to both known methodologies.
Computational results for all three subtour elimination methodologies are generated across 17 symmetric instances ranging in size from 29 vertices to 5,934 vertices, as well as 9 asymmetric instances ranging in size from 17 to 443 vertices.
The results demonstrate the GT is the fastest method for preventing subtours for instances below 400 vertices. Additionally, a distinction between fragment constructive heuristics and the subtour elimination methodology used to ensure the feasibility of resulting solutions enables the introduction of a new vertex-greedy fragment heuristic called ordered greedy.
This research has two main contributions: first, it introduces a novel subtour elimination methodology. Second, the research introduces the concept of ordered lists which remaps the TSP into a new space with promising initial computational results.
Because much human knowledge consists of elementary fragments of know‐how, applying a significant amount of knowledge requires new ways to organize decision‐making fragments into competent wholes. Knowledge systems collect these fragments in a knowledge base and then access the knowledge base to reason about each specific problem. As a consequence, knowledge systems differ from conventional programs in the way they're organized, the way they incorporate knowledge, the way they execute, and the impression they create through their interactions. Knowledge systems simulate expert human performance, and they present a humanlike facade to the user.
Despite its volume, the academic research on the impact of electronic word of mouth (eWOM) on tourism and hospitality consumer behaviour is fragmented and largely limited…
Despite its volume, the academic research on the impact of electronic word of mouth (eWOM) on tourism and hospitality consumer behaviour is fragmented and largely limited to investigating a small scope of its impact. The purpose of this paper is to bridge this gap by synthesising the existing literature, providing a conceptual framework for the various dimensions of this impact.
This paper is based on the meta-synthesis and a critical conceptual analysis of relevant academic literature identified using a keyword search of papers via the Web of Science and Scopus databases, followed by a snowballing process comprising tracking the citations to the resources referred to in the identified papers.
This conceptual analysis illustrates how the full spectrum of the impact of eWOM on tourist behaviour spans well beyond the limited scope traditionally focussed on by tourism and hospitality researchers. This scope, encompassing multiple cognitive, normative and affective dimensions, is illustrated in an evidence-based conceptual framework proposed in this paper, providing a systematic tool to identify the less-studied aspects of this important phenomenon.
This paper synthesises the large and fragmented body of literature on eWOM and proposes a novel conceptual framework, illustrating the vast scope of the various cognitive, affective and normative mechanisms through which eWOM affects consumers’ choice of tourism and hospitality products. Furthermore, this paper provides a synthesis of the state-of-the-art of research in this field, highlights the existing gaps and provides researchers with a systematic tool to identify pathways towards breaking the status-quo in progressing beyond the current boundaries of academic research in this field.
尽管有大量研究, 但有关网络口碑eWOM对旅游业和酒店业消费者行为的影响的学术研究仍是零散的, 并且在很大程度上只限于调查其影响的一小部分。本文的目的是通过综合现有文献来弥合这种差距, 为这种影响的各个方面提供概念框架。
本文基于元合成法和对相关学术文献的关键性, 概念性分析。这些文献是通过Web of Science和Scopus数据库对文章进行关键字搜索而确定的。随后是滚雪球式搜索过程, 该过程包括跟踪对已识别文章中引用的资源的引用。
这项概念分析阐述了eWOM对游客行为的影响范围如何远远超出了旅游和酒店业研究人员传统上关注的有限范围。这一范围是基于有理论依据的的概念框架提出的, 并涵盖多个认知, 规范和情感的维度。此范围为识别这一重要且缺乏研究的现象提供了系统的工具。
本文综合了有关eWOM的大量零散文献, 并提出了一个新颖的概念框架, 阐明了eWOM影响消费者选择旅游和酒店产品的各种认知, 情感和规范机制的范围。此外, 本文提供了该领域最新的研究综述, 突出了现有的差距, 并为研究人员提供了系统的识别打破现状的途径, 以超越当前学术界在这个领域的研究局限。
关键字 电子口碑, eWOM, WOM, 酒店, 旅游, 口碑
El Boca a Boca Electrónico en el Comportamiento del Consumidor Turístico y Hotelero: Estado del Arte
A pesar del gran volumen de investigación académica sobre el impacto de eWOM en el comportamiento del consumidor turístico y hotelero, esta se encuentra fragmentada y en gran medida se limita a investigar un pequeño alcance de su impacto. El propósito de este artículo, es cerrar esta brecha sintetizando la literatura existente y proporcionando un marco conceptual para las diversas dimensiones de este impacto.
Este documento se basa en un análisis metasíntesis crítico y conceptual de la literatura relevante académica identificada, mediante una búsqueda de artículos por palabras claves a través de las bases de datos de Web of Science y Scopus, seguido de un proceso de “bola de nieve” que comprende el seguimiento de las citas de los recursos mencionados en los artículos identificados.
Este análisis conceptual, ilustra cómo el espectro total del impacto de eWOM en el comportamiento turístico se extiende mucho más allá del limitado alcance que tradicionalmente han realizado investigadores del turismo y hoteles. Este nuevo alcance, que abarca múltiples dimensiones cognitivas, normativas y afectivas, se ilustra en un marco conceptual basado en la evidencia propuesta en este documento, que proporciona una herramienta sistemática para identificar los aspectos menos estudiados de este importante fenómeno.
Este documento sintetiza la gran cantidad de literatura fragmentada sobre eWOM y propone un marco conceptual novedoso, que ilustra el amplio alcance de los diversos mecanismos cognitivos, afectivos y normativos a través de los cuales eWOM afecta la elección de los consumidores de productos turísticos y hoteleros. Además, este documento proporciona una síntesis del estado de la investigación en este campo, destaca las brechas existentes y brinda a los investigadores una herramienta sistemática para identificar vías para romper el statu quo en el progreso más allá de los límites académicos actuales en este campo.
Boca a boca electrónica, eWOM, WOM, Industria hoteleram, Turismo, Boca a boca
Tipo de papel
– Trabajo de investigación
The purpose of this research is to develop a time-cost optimization model to schedule repetitive projects while considering limited resource availability.
The purpose of this research is to develop a time-cost optimization model to schedule repetitive projects while considering limited resource availability.
The model is based on the constraint programming (CP) framework; it integrates multiple scheduling characteristics of repetitive activities such as continuous or fragmented execution, atypical activities and coexistence of different modes in an activity. To improve project performance while avoiding inefficient hiring and firing conditions, the strategy of bidirectional acceleration is presented and implemented, which requires keeping regular changes in the execution modes between successive subactivities in the same activity.
Two case studies involving a real residential building construction project and a hotel refurbishing project are used to demonstrate the application of the proposed model based on four different scenarios. The results show that (1) the CP model has great advantages in terms of solving speed and solution quality than its equivalent mathematical model, (2) higher project performance can be obtained compared to using previously developed models and (3) the model can be easily replicated or even modified to enable multicrew implementation.
The original contribution of this research is presenting a novel CP-based repetitive scheduling optimization model to solve the multimode resource-constrained time-cost tradeoff problem of repetitive projects. The model has the capability of minimizing the project total cost that is composed of direct costs, indirect costs, early completion incentives and late completion penalties.
Restructuring a business process (BP) model may enhance the BP performance and improve its understandability. So-far proposed restructuring methods use either refactoring…
Restructuring a business process (BP) model may enhance the BP performance and improve its understandability. So-far proposed restructuring methods use either refactoring which focuses on structural aspects, social network discovery which uses semantic information to guide the affiliation process during its analysis, or social network rediscovery which uses structural information to identify clusters of actors according to their relationships. The purpose of this paper is to propose a hybrid method that exploits both the semantic and structural aspects of a BP model.
The proposed method first generates a social network from the BP model. Second, it applies hierarchical clustering to determine the performers’ partitions; this step uses the social context which specifies features related to performers, and two new distances that account for semantic and structural information. Finally, it applies a set of behavioral and organizational restructuring rules adapted from the graph optimization domain; each rule uses the identified performers’ partitions and the business context to reduce particular quality metrics.
The efficiency of the proposed method is illustrated through well-established complexity metrics. The illustration is made through the development of a tool that fully supports the proposed method and proposes a strategy for the application of the restructuring rules.
The proposed method has the merit of combining the semantic and structural aspects of a Business Process Modeling Notation model to identify restructuring operations whose ordered application reduces the complexity of the initial model.
This paper aims to develop a conceptual framework on how the representativeness heuristic operates in the decision-making process. Specifically, the authors unbundle…
This paper aims to develop a conceptual framework on how the representativeness heuristic operates in the decision-making process. Specifically, the authors unbundle representativeness into its building blocks: search rule, stopping rule and decision rule. Furthermore, the focus is placed on how individual-level cognitive and behavioral factors, namely experience, intuition and overconfidence, affect the functioning of this heuristic.
From a theoretical standpoint, the authors build on dual-process theories and on the adaptive toolbox view from the “fast and frugal heuristics” perspective to develop an integrative conceptual framework that uncovers the mechanisms underlying the representativeness heuristic.
The authors’ conceptualization suggests that the search rule used in representativeness is based on analogical mapping from previous experience, the stopping rule is the representational stability of the analogs and the decision rule is the choice of the alternative upon which there is a convergence of representations and that exceeds the decision maker's aspiration level. In this framework, intuition may help the decision maker to cross-map potentially competing analogies, while overconfidence affects the search time and costs and alters both the stopping and the decision rule.
The authors develop a conceptual framework on representativeness, as one of the most common, though still poorly investigated, heuristics. The model offers a nuanced perspective that explores the cognitive and behavioral mechanisms that shape the use of representativeness in decision-making. The authors also discuss the theoretical implications of their model and outline future research avenues that may further contribute to enriching their understanding of decision-making processes.
Arthur W. Frank's dialogical narrative analysis (DNA) has been a recent addition to the plethora of methods in analysing stories. What makes this method unique from the…
Arthur W. Frank's dialogical narrative analysis (DNA) has been a recent addition to the plethora of methods in analysing stories. What makes this method unique from the rest is its concern for both the story's content and its effects. Stories are seen as selection/evaluation systems that do things for and on people. This chapter aims to provide the reader a heuristic guide in conducting DNA and emphasises learning through exemplars as the way of learning DNA. It provides an outline of DNA and reviews how researchers have applied it in different disciplines. Then, DNA will be applied in in the current ‘war on drugs’ in the Philippines. The stories of the policy actors – for and against the drug war – will be analysed to explore how stories affect policy choices and actions, call actors to assume different identities, associate/dissociate these actors and show how they hold their own in telling their stories. Finally, the potential of using DNA in criminology and criminal justice will be discussed.
A web site usually contains a large number of concept entities, each consisting of one or more web pages connected by hyperlinks. In order to discover these concept…
A web site usually contains a large number of concept entities, each consisting of one or more web pages connected by hyperlinks. In order to discover these concept entities for more expressive web site queries and other applications, the web unit mining problem has been proposed. Web unit mining aims to determine web pages that constitute a concept entity and classify concept entities into categories. Nevertheless, the performance of an existing web unit mining algorithm, iWUM, suffers as it may create more than one web unit (incomplete web units) from a single concept entity. This paper presents two methods to solve this problem. The first method introduces a more effective web fragment construction method so as reduce later classification errors. The second method incorporates site‐specific knowledge to discover and handle incomplete web units. Experiments show that incomplete web units can be removed and overall accuracy has been significantly improved, especially on the precision and F1 measures.
Purpose – This chapter explores the complexity and tensions inherent in the question of how story becomes research with particular attention to the use of narrative…
Purpose – This chapter explores the complexity and tensions inherent in the question of how story becomes research with particular attention to the use of narrative research in studying teacher education.
Approach – To do this, we begin each section with a narrative fragment from earlier published research in which we collaborated (Hamilton, 1995). Then, we use narrative research analysis tools to explore the meaning of each fragment, lay that understanding alongside research accounts and wonderings about research in and by teacher educators, and consider the fragment in terms of specific understandings of narrative inquiry as research methodology for studying teacher education.
Findings – This chapter examines when story moves to research while probing the tensions between knowledge and living as teachers, teacher educators, and teacher educator researchers. Using the first fragment, we explore fulfilling roles as a teacher educator by using a narrative analysis tool that teases apart the author's role of narrator, actor, and character. In the second fragment, we consider the contexts that influence a teacher educator researcher by examining the fragment to determine the levels of narrative. In the third fragment, we utilize the tools of plotlines and tensions to unpack the competing plotlines of epistemology (modernist vs. narrative) ending with an examination of the importance of ontology in narrative work. In our fourth fragment, we unpack nine approaches to narrative by examining the essential role of story for each element of the research process.
Research implications – As teacher educator researchers, we always stand in the midst – in the midst of the story where we may be simultaneously narrator, character, and actor, in the midst of living the research we are most interested in studying. Within a single moment, we can act as teacher, teacher educator, and teacher educator researcher when our research focuses on our own practice. Our experience as we live it represents the tension between arrival and arriving.
Value – The value of this chapter is the way in which it demonstrates narrative analysis and distinguishes among various approaches to narrative research.
After considering the search process and functions of index entries, a classification of entry types is offered, based on index term context, predominant term order, and…
After considering the search process and functions of index entries, a classification of entry types is offered, based on index term context, predominant term order, and between‐term function words. Then a multiple entry generation scheme is described, comprising rules for term manipulation, input and output. After discussing access points and cross reference measures, a preliminary linguistic analysis is given, showing links with psycholinguistics. The study forms the basis of a current laboratory investigation (EPSILON) into a number of entry types.