In today's competitive world with reduced profit margins it is important for manufacturers accurately to monitor incoming raw material to ensure that there is no shortfall in…
Abstract
In today's competitive world with reduced profit margins it is important for manufacturers accurately to monitor incoming raw material to ensure that there is no shortfall in terms of quantity and quality (i.e. “what you buy is what you get”). Addresses the quantity aspect by considering the design and development of an automated lace‐measuring system. Considers the design aspect of the system and reports on the operational feedback and results used to evaluate the system in the context of its operating environment.
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S. Convery, T. Lunney, A. Hashim and M. McGinnity
Presents an overview of automated fabric flaw detection immediately after the knitting process. Considers the classification of fabric flaws and how image processing techniques…
Abstract
Presents an overview of automated fabric flaw detection immediately after the knitting process. Considers the classification of fabric flaws and how image processing techniques can be applied to their classification, via an introductory example. Outlines problems associated with automating this inspection process and discusses possible flaw sensing systems and techniques.
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Roberto Pierdicca, Marina Paolanti and Emanuele Frontoni
This paper aims to present innovative information and communication technology (ICT) infrastructure specifically designed and optimized for the tourism sector. The case presented…
Abstract
Purpose
This paper aims to present innovative information and communication technology (ICT) infrastructure specifically designed and optimized for the tourism sector. The case presented, “La Valle del Pensare lungo il corso del Potenza”, has been conceived with the aim of providing a digital infrastructure to ten municipalities in the Marche Region (Italy), nestled among the valley of the Potenza River. This research project is aimed at developing an important communication system that facilitates the tourist routes of mining attractions and specific thematic routes across the territory, promoting historical centers, cultural heritage, green areas and interesting places.
Design/methodology/approach
“La Valle del Pensare” information system has the main feature of being scalable and multi-purpose, as the contents can be managed and conveyed through the website, app mobile, totem touch screen and standard tourist signage. It is integrated and modular and allows to manage multiple information, ensuring an interoperable and multi-channel approach. It is designed for small municipalities in the province of Macerata to connect the territory’s resources and activities through a network.
Findings
This work represents an important communication system, i.e. innovative ICT infrastructure that facilitates the tourist routes of mining attractions and specific thematic routes across the territory. Thanks to the collection of user-generated data, the platform allows monitoring of usage statistics and performances. In this way, the municipalities can infer useful information about user’s preferences and needs. The paper also discusses how “La Valle del Pensare” gives identity to the territory, which is not identified as a simple summation of the Common, but as a recognizable system that intends to implement the level of competitiveness through the creation of a real territorial logo able to identify vocations and specificity of the Valley of the Potenza.
Originality/value
The value of the project lies in the ICT system, able to convey information at different scales, providing the users with updated contents; at the same time, administrations can constantly monitor its performances, being able to infer useful information about tourists’ needs, habits and preferences. The main contributions are the creation of a single cloud-based architecture for the management of multiple multi- media contents, to be exploited in various platforms; the design of a unique content management system used by several small municipalities of a same territory; the monitoring user’s preferences and needs by collecting users’ generated data; and the analysis of meaningful statistics about the tourists, tested and verified in real scenario with real users.
研究目的
本论文旨在介绍针对旅游行业而设计和优化的创新型ICT架构。本论文讨论案例题为“La Valle del Pensare lung oil corso del Potenza”, 主要为马尔凯大区(意大利)的10个直辖市, 位于Potenza河域山谷中, 提供数码基础架构。此研究项目主要是为了构建一条重要通信体系来帮助开发矿场景点的旅游线路和整个地区的特殊专题线路, 以宣传历史中心、文化遗产、绿色区域、和各种景点。
研究设计/方法/途径
“La Valle del Pensare”信息系统具有规模化和多样性的特点, 其系统内容可以通过网站、移动app、图腾触摸屏、和标准旅游标牌等方式进行管理和传播。此系统采用一体化设计、以模块为单位, 这样使得多种信息方便管理, 确保交互链接可操作性和多渠道性。此外, 这个系统还专门为了马尔凯大区的小城市设计, 使得该区域的资源通过网络得到整合链接。
研究结果
本论文介绍了重要通信系统, 即创新型ICT架构, 来帮助开发矿场景点的旅游线路和整个地区的特殊专题线路。 得益于用户生成数据(user-generated data), 该平台还能监控使用情况和效果, 从而使用该系统的城市可以推测出用户偏好和需求等有用数据。本论文还讨论了“La Valle del Pensare”如何标识地区身份代名词, 这个代名词不等同于共和(the Common)的简单总和, 而是一个醒目的系统, 使得其通过树立真正的区域商标而具有竞争力, 在Potenza谷中占有旅行度假的一席之地。
研究原创性/价值
本论文的重大价值在于其ICT系统, 能够在不同领域传播信息, 向用户提供更新信息:与此同时, 管理当局能够实时监控其系统性能以及推测旅游需求、习惯、偏好等有用信息。本论文重要贡献在于:i)搭建单个云平台基础的多媒体内容管理架构, 能够在多个渠道上运行;ii)设计特殊内容管理系统, 服务于同一区域的多个小城市;iii)通过搜集用户生成数据来监控用户偏好和需求;iv)分析有关游客的数据, 使用真实游客数据来实地测试和验证。
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Karamarie Fecho, Charity G. Moore, Anne T. Lunney, Peter Rock, Edward A. Norfleet and Philip G. Boysen
This paper aims to determine the one‐year incidence of, and risk factors for, perioperative adverse events during in‐patient and out‐patient anesthesia‐assisted procedures.
Abstract
Purpose
This paper aims to determine the one‐year incidence of, and risk factors for, perioperative adverse events during in‐patient and out‐patient anesthesia‐assisted procedures.
Design/methodology/approach
A quality assurance database was the primary data source. Outcome variables were death and the occurrence of any adverse event. Risk factors were ASA physical status (PS), age, duration and type of anesthesia care, number of operating rooms running, concurrency level and medical staff. Data were stratified by in‐patient or out‐patient, surgical (e.g. thoracotomy) or non‐surgical (e.g. electroconvulsive therapy), and were analyzed using Chi square, Fisher's exact test and generalized estimating equations.
Findings
Of 27,970 procedures, 49.8 percent were out‐patient and greater than 80 percent were surgical. For surgical procedures, adverse event rates were higher for in‐patient than out‐patient procedures (2.11 percent vs. 1.45 percent; p<0.001). For non‐surgical procedures, adverse event rates were similar for in‐patients and out‐patients (0.54 percent vs. 0.36 percent). The types of adverse events differed for in‐patient and out‐patient surgical procedures (p<0.001), but not for non‐surgical procedures. ASA PS, age, duration of anesthesia care, anesthesia type and medical staff assigned to the case were each associated with adverse event rates, but the association depended on the type of procedure.
Practical implications
In‐patient and out‐patient surgical procedures differ in the incidence of perioperative adverse events, and in risk factors, suggesting a need to develop separate monitoring strategies.
Originality/value
The paper is the first to assess perioperative adverse events amongst in‐patient and out‐patient procedures.
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With the emerging technologies, collecting and processing data about the behaviors of customers or employees in a specific location has become possible. The purpose of this paper…
Abstract
Purpose
With the emerging technologies, collecting and processing data about the behaviors of customers or employees in a specific location has become possible. The purpose of this paper is to evaluate existing data collection technologies.
Design/methodology/approach
Technology evaluation problem is handled as a multi-criteria decision-making (MCDM) problem. In this manner, a decision model containing four criteria and eight sub-criteria and four alternatives are formed. The problem is solved using hesitant analytic hierarchy process (AHP) and trapezoidal fuzzy numbers (TrFN).
Findings
The results show that the most important sub-criteria are: accuracy, quantity, ıntrospective and cost. Decision makers’ evaluate for alternatives, namely wireless fidelity (WiFi), camera, radio-frequency identification and Bluetooth. The best alternative is found as Bluetooth which is followed by WiFi and Camera.
Research limitations/implications
Technology evaluation problem, just like many other MCDM problems are solved using expert evaluations. Thus, the generalizability of the findings is low.
Originality/value
In this paper, technology selection problem has been handled using hesitant AHP for the first time. In addition, the original methodology is extended by using TrFN to represent the expert evaluations in a better way.
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Adrián Mendieta-Aragón, Julio Navío-Marco and Teresa Garín-Muñoz
Radical changes in consumer habits induced by the coronavirus disease (COVID-19) pandemic suggest that the usual demand forecasting techniques based on historical series are…
Abstract
Purpose
Radical changes in consumer habits induced by the coronavirus disease (COVID-19) pandemic suggest that the usual demand forecasting techniques based on historical series are questionable. This is particularly true for hospitality demand, which has been dramatically affected by the pandemic. Accordingly, we investigate the suitability of tourists’ activity on Twitter as a predictor of hospitality demand in the Way of Saint James – an important pilgrimage tourism destination.
Design/methodology/approach
This study compares the predictive performance of the seasonal autoregressive integrated moving average (SARIMA) time-series model with that of the SARIMA with an exogenous variables (SARIMAX) model to forecast hotel tourism demand. For this, 110,456 tweets posted on Twitter between January 2018 and September 2022 are used as exogenous variables.
Findings
The results confirm that the predictions of traditional time-series models for tourist demand can be significantly improved by including tourist activity on Twitter. Twitter data could be an effective tool for improving the forecasting accuracy of tourism demand in real-time, which has relevant implications for tourism management. This study also provides a better understanding of tourists’ digital footprints in pilgrimage tourism.
Originality/value
This study contributes to the scarce literature on the digitalisation of pilgrimage tourism and forecasting hotel demand using a new methodological framework based on Twitter user-generated content. This can enable hospitality industry practitioners to convert social media data into relevant information for hospitality management.
研究目的
2019冠狀病毒病引致消費者習慣有根本的改變; 這些改變顯示,根據歷史序列而運作的慣常需求預測技巧未必是正確的。這不確性尤以受到大流行極大影響的酒店服務需求為甚。因此,我們擬探討、若把在推特網站上的旅遊活動視為聖雅各之路 (一個重要的朝聖旅遊聖地) 酒店服務需求的預測器,這會否是合適的呢?
研究設計/方法/理念
本研究比較 SARIMA 時間序列模型與附有外生變數 (SARIMAX)模型兩者在預測旅遊及酒店服務需求方面的表現。為此,研究人員收集在推特網站上發佈的資訊,作為外生變數進行研究。這個樣本涵蓋於2018年1月至2022年9月期間110,456個發佈資訊。
研究結果
研究結果確認了傳統的時間序列模型,若涵蓋推特網站上的旅遊活動,則其對旅遊需求方面的預測會得到顯著的改善。推特網站的數據,就改善預測實時旅遊需求的準確度,或許可成為有效的工具; 而這發現對旅遊管理會有一定的意義。本研究亦讓我們進一步瞭解朝聖旅遊方面旅客的數碼足跡。
研究的原創性
現存文獻甚少探討朝聖旅遊的數字化,而本研究不但在這方面充實了有關的文獻,還使用了一個根據推特網站上使用者原創內容嶄新的方法框架,進行分析和探討。這會幫助酒店從業人員把社交媒體數據轉變為可供酒店管理之用的合宜資訊。
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Christopher Hannum, Kerem Yavuz Arslanli and Ali Furkan Kalay
Studies have shown a correlation and predictive impact of sentiment on asset prices, including Twitter sentiment on markets and individual stocks. This paper aims to determine…
Abstract
Purpose
Studies have shown a correlation and predictive impact of sentiment on asset prices, including Twitter sentiment on markets and individual stocks. This paper aims to determine whether there exists such a correlation between Twitter sentiment and property prices.
Design/methodology/approach
The authors construct district-level sentiment indices for every district of Istanbul using a dictionary-based polarity scoring method applied to a data set of 1.7 million original tweets that mention one or more of those districts. The authors apply a spatial lag model to estimate the relationship between Twitter sentiment regarding a district and housing prices or housing price appreciation in that district.
Findings
The findings indicate a significant but negative correlation between Twitter sentiment and property prices and price appreciation. However, the percentage of check-in tweets is found to be positively correlated with prices and price appreciation.
Research limitations/implications
The analysis is cross-sectional, and therefore, unable to answer the question of whether Twitter can Granger-cause changes in housing markets. Future research should focus on creation of a property-focused lexicon and panel analysis over a longer time horizon.
Practical implications
The findings suggest a role for Twitter-derived sentiment in predictive models for local variation in property prices as it can be observed in real time.
Originality/value
This is the first study to analyze the link between sentiment measures derived from Twitter, rather than surveys or news media, on property prices.
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Alei Fan, Han Shen, Laurie Wu, Anna S. Mattila and Anil Bilgihan
Consumers increasingly depend on the internet as the information source to make their hospitality decisions, which highlights the need for more research in online recommendation…
Abstract
Purpose
Consumers increasingly depend on the internet as the information source to make their hospitality decisions, which highlights the need for more research in online recommendation. Due to the globalization, culture and its effects on marketing become an increasingly important subject to investigate. Therefore, this paper aims to offer a cross-cultural investigation of consumers’ different trustworthiness and credibility perceptions when facing online recommendations from different information resources.
Design/methodology/approach
This research uses the source-credibility theory to examine consumers’ responses to online recommendations from two sources. Participants were recruited from two equivalent marketing panels in each culture. A 2 (online recommendation source: in-group vs out-group) by 2 (culture: American vs Chinese) between-subjects quasi-experiment was conducted to test the hypotheses.
Findings
The results demonstrate that culture moderates consumer responses to the two types of online sources. Chinese consumers, due to their more collectivist nature, exhibit higher levels of purchase intent when the recommendation originates from an in-group rather than from an out-group. Such differences are not observed among the more individualist American consumers. Furthermore, trustworthiness plays an important role in influencing Chinese consumers’ perception of recommendation credibility and the consequent purchase intent.
Practical implications
This research provides guidelines to hospitality practitioners when developing their social networking sites and online marketing strategies across different cultures.
Originality/value
The current study conducts an in-depth investigation of cultural differences in consumers’ perceptions of and reactions to online recommendations from other customers with various social distances.
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Nilaya Murthy and Santosh Gopalkrishnan
The purpose of this study is to find out if there is a sequence or pattern to digital frauds and whether the openness quotient of any individual has a meaningful role to play in…
Abstract
Purpose
The purpose of this study is to find out if there is a sequence or pattern to digital frauds and whether the openness quotient of any individual has a meaningful role to play in them becoming victims of digital frauds. The legal and regulatory angle of digital frauds and relief measures for social media openness and frauds are discussed to examine the connection between openness, identity data, visibility, vulnerability, digital frauds and social media sharing of information.
Design/methodology/approach
This study is empirical and investigative research. Primary data was collected via questionnaires circulated among participants from various age groups to understand the implications of different demographic factors such as age, websites used, profiles created and data shared on the internet, social media and e-commerce websites.
Findings
The results exhibit that the openness factor does affect vulnerability and has an influence on the risk and legal component of inclination towards digital frauds.
Practical implications
This research study results in bridging the gap by increasing the level of understanding and awareness in users toward achieving proactive and regulated behaviour and comprehending the violation of various acts of digital frauds and its implications, especially in the Indian banking sector.
Originality/value
This study will be beneficial to all individuals alike in understanding the implications of excessive openness toward digital platforms and evaluating generic and legal solutions to avoid becoming victims of digital fraud.