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The introduction of consumer products can be traced back to the invention of the wheel, and after the first invention, humankind discovered that what can be consumable is marketable. Therefore, it is safe to suggest that the development of marketing, in thought and practice, has always been hand-in-hand with the evolution of humankind. Modern Turkey or Anatolia, one of the cradles of civilisation located in the Fertile Crescent or, in other words, Old Mesopotamia, has always been the centre of trade and marketing. As an emerging economy, Turkey has a lot to combine the ways of western practices with market dynamics unique to her, whereas authors find the development of marketing practices in Turkey exceptionally interesting. Therefore, this chapter aims to provide an insight and a brief history regarding the development of the Turkish marketing context throughout the years. We believe that this contribution will be helpful to those who are interested in the development of marketing in an emerging economy in an academic fashion, as well as for those who are attracted to follow the footprints of the modern era’s business environment.

The recent report for the Commission of the European Communities on current multilingual activities in the field of scientific and technical information and the 1977 conference on the same theme both included substantial sections on operational and experimental machine translation systems, and in its Plan of action the Commission announced its intention to introduce an operational machine translation system into its departments and to support research projects on machine translation. This revival of interest in machine translation may well have surprised many who have tended in recent years to dismiss it as one of the ‘great failures’ of scientific research. What has changed? What grounds are there now for optimism about machine translation? Or is it still a ‘utopian dream’ ? The aim of this review is to give a general picture of present activities which may help readers to reach their own conclusions. After a sketch of the historical background and general aims (section I), it describes operational and experimental machine translation systems of recent years (section II), it continues with descriptions of interactive (man‐machine) systems and machine‐assisted translation (section III), (and it concludes with a general survey of present problems and future possibilities section IV).

Examines the tenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

This study aims to examine the impact of the COVID-19 pandemic on knowledge-sharing drivers in small- and medium-sized family firms within the restaurant and fast-food industry. The pandemic has led to significant changes in business culture and consumer behaviour, accelerating digital transformation, disruptions in global supply chains and emerging new business opportunities. These changes have also influenced knowledge sharing (KS) and its underlying drivers.

To address the research objectives, a two-phase study was conducted. In the first phase, an exploratory analysis using the Delphi method was used to identify the essential drivers and factors of KS in family businesses (FBs). This phase aimed to establish a conceptual model for the study. In the second phase, confirmatory factor analysis was conducted to analyse the impact of the COVID-19 pandemic on the identified knowledge-sharing drivers. The study examined both the pre-pandemic and post-pandemic periods to capture the shifts in attitudes towards KS.

The findings indicate a significant shift in attitudes towards knowledge-sharing drivers. Before the pandemic, organisational drivers played a central role in KS. However, after the emergence of the pandemic, technological drivers became more prominent. This shift highlights the impact of the COVID-19 pandemic on KS within FB.

The research contributes to understanding knowledge-sharing in the context of FBs and sheds light on the specific effects of the COVID-19 pandemic on knowledge-sharing drivers. The insights gained from this study can inform strategies and practices aimed at enhancing KS in similar organisational settings.

The purpose of this paper is to determine the relation between quality of life (QoL), mental illness, challenging behaviour and institutionalisation in an adult population with intellectual disabilities (ID).

The study assessed the QoL and its conditioning factors in 142 subjects with different degrees of ID. The GENCAT and Quality of Life in Late Stage Dementia scale were used to evaluate QoL, the Psychiatric Assessment Schedule for Adults with Developmental Disability and Diagnostic Assessment for the Severely Handicapped-II scale to assess mental illness and the Inventory for Client and aetiology Planning scale to assess challenging behaviour.

Individuals who live in residential care homes were found to have significantly impaired QoL (<0.001). Individuals with challenging behaviour presented significantly lower QoL, regardless of ID aethiology and degree, while psychiatric disorders did not seem to have a direct influence on individual QoL.

This paper provides new insight into the importance of challenging behaviour and psychiatric disorders in the QoL of individuals with ID.

This research aims to explore the potential of big data technology for sustainable management and investigate its impact on tourism. Its goal is to obtain meaningful results related to sustainable tourism to understand better how big data technology plays a role in decision-making by looking at it through the lens of various studies.

A systematic review, which is a qualitative method, was used in this study. The analysis was conducted using secondary data from the Web of Science Core Collections databases.

Big data technology has many economic benefits for businesses, but it also has managerial benefits such as forecasting, decision-making and tracking human and machine behaviour. Furthermore, big data technology offers sustainability benefits such as resource efficiency, preventive quality systems, carbon reduction and environmentally friendly production.

Big data's capabilities enable businesses to make more informed business decisions, improve overall business performance and contribute to achieving various SDGs. Big data, which aids in developing smart and sustainable tourism in the tourism sector, assists tourism managers in making economically, socially and environmentally sound decisions.

The purpose of this paper is to examine the impact of social media sharing on tourists’ willingness to pay more (WPM) at destinations. The moderating effects of tourists’ preferred route in decision-making or obtaining information (i.e. central or peripheral routes) were also examined.

A theoretical model was developed and tested using partial least squares structural equation modeling (PLS-SEM). Moderating effects of central and peripheral routes were tested using PLS multi-group analysis. Data were collected from 478 tourists in Antalya, Turkey, a sea, sun and sand tourist destination.

Findings indicate that importance attached to participant sharing (IPS) and importance attached to non-participant sharing (INPS) are significant antecedents of tourists’ WPM intentions. Moderating effects of tourists’ preferred route in decision-making reveal that the effect of IPS on WPM intention is more influential for those with high central route preferences than those with low central route preferences. While the effects of INPS and IPS on WPM intention is more determinative for those with higher peripheral route preferences.

Although it is known by the practitioners that consumer-generated contents are important, this research suggests and supports that these contents trigger tourists to pay higher prices.

How WPM is motivated by others’ social media sharing was not very clear in the literature. Therefore, this research gap was addressed in part by examining the social media sharing structure in terms of whether others posted on organization-related sites or on personal sites.

标题探索可能性路线在用户生成内容和支付意愿关系中的作用

本研究旨在探讨社交媒体分享对旅游者在目的地的支付意愿（WPM）的影响。还考察了旅游者在决策或获取信息时偏好路线（即中心或外围路线）的调节效应。

本文利用偏最小二乘结构方程模型（PLS-SEM）建立了理论模型并进行了验证, 使用PLS多组分析法检验了中心和外围路线的调节作用。从土耳其安塔利亚的478名游客中收集了数据。安塔利亚是一个拥有海洋、阳光和沙滩的旅游胜地。

结果表明, 游客对参与式分享（IPS）的重视程度和对非参与式分享（INPS）的重视程度是游客支付意愿 (WPM) 的显著前因。旅游者偏好路线在决策中的调节效应表明, IPS对WPM意图的影响, 对中心路线偏好高的游客比中心路线偏好低的游客更为显著。而INPS和IPS对WPM意图的影响对周边路线偏好较高者更具决定性。

尽管用户生成内容的重要性广为从业人员了解, 但本研究表明, 这些内容还能促使游客支付更高的价格。

在现有文献中, 他人的社交媒体分享是如何激励产生WPM的还不是很清楚。因此, 本文通过考察社交媒体分享的结构来填补这一研究空白, 即考察他人的内容是发布在组织相关的网站上还是个人网站上。

关键词: 社交媒体分享, 精化可能性模型, 中心路线, 外围路线, 支付意愿

研究论文

El papel de las rutas ELM (modelo de probabilidad de elección) en la relación entre el contenido generado por usuarios y la disposición a pagar

El propósito de esta investigación es examinar el impacto de la compartición en redes sociales con la disposición de los turistas a pagar más (willness pay more: WPM) en los destinos. También se examinaron los efectos moderadores de la ruta preferida de los turistas en la toma de decisiones u obtención de información (es decir, rutas centrales o periféricas).

Se desarrolló y probó un modelo teórico utilizando modelos de ecuaciones estructurales de mínimos cuadrados parciales (PLS-SEM). Los efectos moderadores de las rutas centrales y periféricas se probaron mediante análisis multigrupo de PLS. Se recopilaron datos de 478 turistas en Antalya, Turquía, un destino turístico de mar, sol y arena.

Los resultados indican que la importancia atribuida a la compartición de los participantes (importance participant sharing: IPS) y la importancia atribuida al la compartición de los no participantes (importance no participant saharing: INPS) son antecedentes importantes de las intenciones de los WPM de los turistas. Los efectos moderadores de la ruta preferida de los turistas en la toma de decisiones revelan que el efecto de IPS en la intención de WPM es más influyente para aquellos con altas preferencias de ruta central que aquellos con bajas preferencias de ruta central. Mientras que los efectos de INPS e IPS en la intención de WPM son más determinantes para aquellos con mayores preferencias de ruta periférica.

Aunque los profesionales saben que los contenidos generados por los consumidores son importantes, esta investigación sugiere y respalda que estos contenidos provocan que los turistas paguen precios más altos.

Al no estar clara en la literatura la relación de la WPM con la compartición en redes sociales y existir una brecha de investigación en este aspecto, este trabajo pretende abordar este tema, examinando la estructura de la compartición en redes sociales en términos de si otros publicaron en sitios relacionados con la organización o en sitios personales.

Compartición en redes sociales, Modelo de probabilidad de elección (ELM), Ruta Central, Ruta periférica, Disposición a pagar más

Trabajo de investigación

This article introduces the application of informetric methods to the World Wide Web (WWW), also called Webometrics. A case study presents a workable method for general informetric analyses of the WWW. In detail, the paper describes a number of specific informetric analysis parameters. As a case study the Danish proportion of the WWW is compared to those of other Nordic countries. The methodological approach is comparable with common bibliometric analyses of the ISI citation databases. Among other results the analyses demonstrate that Denmark would seem to fall seriously behind the other Nordic countries with respect to visibility on the Net and compared to its position in scientific databases.