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Popular literature argues that successive generations are experiencing more job changes and changes of employer. The “new careers” literature also proposes that career mobility patterns are becoming more diverse as people engage in more downward and lateral job changes and changes of occupation. The purpose of this paper is to test these assertions by comparing the career mobility patterns across four generations of workers.

The authors analyzed the career mobility patterns of four generations of Canadian professionals (n=2,555): Matures (born prior to 1946); Baby Boomers (1946-1964); Generation Xers (1965-1979) and Millennials (1980 or later). Job mobility, organizational mobility and the direction of job moves were compared across groups through analysis of variance.

Significant differences were observed in job mobility and organizational mobility of the various generations, with younger generations being more mobile. However, despite significant environmental shifts, the diversity of career patterns has not undergone a significant shift from generation to generation.

This is the first quantitative study to examine shifting career mobility patterns across all four generations in today’s workplace. The authors extend previous research on generational differences in job mobility by using novel measures of career mobility that are more precise than extant measures.

This paper aims to evaluate the career patterns and global mobility trajectories of hospitality and tourism graduates that are relevant for global knowledge and local talent management.

This study maps and assesses the public profiles of over 2,000 hospitality and tourism graduates from five institutions each from a different territory using a popular online professional network.

The findings highlight a network of worldwide mobility from hospitality and tourism graduates of the five institutions. The findings also suggest five different types of mobility trajectories (i.e. stateside, intra-regional, continental, inter-regional and global) and career patterns (i.e. rooted, prospector, seeker, two-homes and wanderer).

Geographical mobility of graduates in tourism and hospitality is one of the less studied phenomena; however, it is important to understand due to growing concerns regarding globalization of the workplace and internationalization of education.

This study provides insights into how knowledge transfer and talent management could be impacted by the global graduate movements.

This is one of the first studies to date to combine mobility trajectories with a classification of career patterns to provide implications relevant for global knowledge and local talent management.

The purpose of this study is to investigate differences and/or similarities between women's and men's career mobility toward the superintendency in terms of career pathways and movement patterns, with specific attention to women's career pathways as they correspond with their aspiration to the superintendency.

In this study of upper level educational administrators in the USA, typical career pathways were identified for four targeted groups of the study: men superintendents; women superintendents; women central office administrators who aspire to the superintendency; and women central office administrators who do not aspire to the superintendency. Four pathways for each group were drawn by analyzing data related to survey respondents' professional experiences. In the analysis, descriptive methods including frequencies and percentages were used in drawing pathways.

One of the major findings from confirmed that career pathways for women in educational administration are different than those of men who typically become superintendents. While many men administrators had worked in line‐role positions and moved vertically up to the superintendency, women generally traveled to the superintendency through staff roles and their career mobility patterns were more often horizontal. In addition, significant differences were found between the career patterns of aspiring and non‐aspiring women central office administrators. The results of the study raise the question of whether particular career pathways actually create higher quality superintendents.

The study includes data from women central office administrators (aspiring and non‐aspiring), a large and recent data set that has been missing from most studies of career mobility. The inclusion of this data set allows one to identify: differences between women who do and who do not aspire; differences between seated women superintendents and aspiring and non‐aspiring central office administrators; and the potential added value that women bring to the role of superintendent of schools.

Postsecondary institutions use metrics such as student retention and college completion rates to measure student success. Multiple factors affect the success of first time in college (FTIC) and transfer students. Transfer student success rates are significantly low, with most transfer students nationwide failing to complete their degrees in four-year institutions. The purpose of this study is to better understand the degree progression patterns of both student types in two undergraduate science, technology, engineering and mathematics (STEM) programs: computer science (CS) and information technology (IT). Recommendations concerning academic advising are discussed to improve transfer student success.

This study describes how transfer student success can be improved by thoroughly analyzing their degree progression patterns. This study uses institutional data from a public university in the United States. Specifically, this study utilizes the data of FTIC and transfer students enrolled in CS and IT programs at the targeted university to understand their degree progression patterns and analyzes the program curricula using network science curricular analytics method to determine what courses in the curriculum require more assistance to retain students.

The major findings of this study are: (1) students’ degree mobility patterns within an institution differ significantly between transfer and FTIC students; (2) some similarities exist between the CS and IT programs in terms of transfer students' degree mobility patterns; (3) transfer students' performance in basic and intermediate level core courses contribute to differences in transfer students' mobility patterns.

This study introduces the concept of “mobility patterns” and examines student degree mobility patterns of both FTIC and transfer students in a large public university to improve the advising process for transfer students regarding courses and identifying secondary majors.

This study aims to compare the career patterns of Matures, Baby Boomers, Generation Xers and Millennials over the various stages of their careers to determine whether there have been notable shifts away from the “traditional” career model characterized by long‐term linear, upward career movement, toward a “modern” career model characterized by increased job mobility, organizational mobility and multi‐directional career movement.

The retrospective career accounts of 105 Canadians were gathered through review of résumé information and semi‐structured interviews. The job changes and organizational changes experienced by each respondent in each five‐year career period (e.g. age 20‐24, 25‐29) and the direction of job changes (i.e. upward, downward, lateral or change of career track) were recorded. The generations were compared statistically on each of these measures through analysis of variance (ANOVA).

Significant inter‐generational differences were observed on all variables of interest, but the differences were largely restricted to the age 20‐24 and 30‐34 career stages.

The study relied on a small sample because of the qualitative nature of the data collection. The sample was also exclusively Canadian. The results should therefore be interpreted with care and the research should be replicated with different types of respondents and in different cultural contexts.

The research demonstrates to employers that the younger generations change jobs and employers at a greater rate than previous generations and that they are more willing to accept non‐upward career moves. Recruiting and retaining young employees will therefore require a different approach than was used for previous generations.

The use of retrospective accounts allowed for the comparison of generations within various career stages. This overcomes a significant limitation of cross‐sectional studies of generational phenomena by simultaneously considering life‐cycle and generational cohort effects.

Location-based services (LBS) have become an effective commercial marketing tool. However, regarding retail store location selection, it is challenging to collect analytical data. In this study, location-based social network data are employed to develop a retail store recommendation method by analyzing the relationship between user footprint and point-of-interest (POI). According to the correlation analysis of the target area and the extraction of crowd mobility patterns, the features of retail store recommendation are constructed.

The industrial density, area category, clustering and area saturation calculations between POIs are designed. Methods such as Kernel Density Estimation and K-means are used to calculate the influence of the area relevance on the retail store selection.

The coffee retail industry is used as an example to analyze the retail location recommendation method and assess the accuracy of the method.

This study is mainly limited by the size and density of the datasets. Owing to the limitations imposed by the location-based privacy policy, it is challenging to perform experimental verification using the latest data.

An industrial relevance questionnaire is designed, and the responses are arranged using a simple checklist to conveniently establish a method for filtering the industrial nature of the adjacent areas. The New York and Tokyo datasets from Foursquare and the Tainan city dataset from Facebook are employed for feature extraction and validation. A higher evaluation score is obtained compared with relevant studies with regard to the normalized discounted cumulative gain index.

A major function of personnel management is to help individuals and organisations cope with change. Managerial career development provides a practical example of this concern as effective action requires an understanding of how individuals and organisations initiate and are affected by change. These changes can also be considered from the more theoretical viewpoints of organisational mobility. The practical concerns of the personnel manager and the theoretical models of the student of organisational mobility should both benefit from the two‐way flow of insights, and some of these potential links are explored in this article.

This paper, the first one to use individual-level Turkish panel data, examines the labor market transitions in Turkey along the formal/informal employment divide. The purpose of this paper is to contribute to the limited body of empirical evidence available on mobility and informality in the Turkish labor market.

Toward this end, the authors use Turkish income and Living Conditions Survey panel data for 2006, 2007, 2008 and 2009 to compute the Markov transition probabilities of individuals moving across six different labor market states: formal-salaried (FS), informal-salaried, formal self-employed, informal self-employed, unemployed and inactive. In order to examine the nature of mobility patterns in more detail, the authors then estimate six multinomial logit models individually for each transition adopting a number of individual and employment characteristics as explanatory variables.

The authors find evidence that mobility patterns are fairly similar across different time spans, the probability of remaining in initial state is higher than the probability of transition into another state for all the labor market states, except for unemployment, there is only very limited mobility into the FS state. Gender, education and sector of economic activity are observed to display significant effects on mobility patterns. The results reveal several relationships between the covariates and likelihood of variant transitions.

This study provides a comprehensive and detailed diagnosis of the Turkish labor market. The market is observed to display a rather static structure throughout the period considered. The results indicate that a well recognition of underlying dynamics may help policy makers to produce various effective tools for addressing informality.

First study to analyze labor market mobility across formal/informal sectors using newly available panel data.

This paper aims to examine key parameters of scholarly context and geographic focus and provide an assessment of theoretical underpinnings of studies in the field of social media and visitor mobility. This review also summarised the characteristics of social media data, including how data are collected from different social media platforms and their advantages and limitations. The stocktake of research in this field was completed by examining technologies and applied methods that supported different research questions.

This literature review applied a mix of methods to conduct a literature review. This review analysed 82 journal articles on using social media to track visitors’ movements between 2014 and November 2020. The literature compared the different social media, discussed current applied theories, available technologies, analysed the current trend and provided advice for future directions.

This review provides a state-of-the-art assessment of the research to date on tourist mobility analysed using social media data. The diversity of scales (with a dominant focus on the city-scale), platforms and methods highlight that this field is emerging, but it also reflects the complexity of the tourism phenomenon. This review identified a lack of theory in this field, and it points to ongoing challenges in ensuring appropriate use of data (e.g. differentiating travellers from residents) and the ethics surrounding them.

The findings guide researchers, especially those with no computer science background, on the different types of approaches, data sources and methods available for tracking tourist mobility by harnessing social media. Depending on the particular research interest, different tools for processing and visualization are available.

利用社交媒体了解游客的流动性：信息技术和大数据的作用

本综述审查了学术背景的关键参数和案例调查的地理焦点, 并评估了社交媒体和访客流动领域研究的理论基础。本文章还总结了社交媒体数据的特征, 包括如何从不同社交媒体平台收集数据及其优势和局限。 此外本论文通过研究不同的应用方法和总结相关技术来完成的。

本研究提供了最新的使用社交媒体数据分析游客流动性研究的评估。比如案例分析的地理大小（主要集中在城市尺度）、社交媒体平台和方法的多样性突出了该领域的新兴, 但复杂旅游流动现象。审查发现利用社交媒体进行的研究缺乏理论贡献, 并指出在确保适当使用数据（例如区分旅行者与居民）和围绕他们的道德规范方面存在持续挑战。

研究结果指导研究人员, 尤其是那些没有计算机科学背景的研究人员, 了解不同类型的方法、数据来源和方法, 可用于通过利用社交媒体来跟踪旅游流动性。根据特定的研究兴趣, 可以使用不同的处理和可视化工具。

关键词：旅游模式; 游客流动; 游客轨迹; 社交媒体; 信息技术; 大数据

文章类型： 文献评论

Uso de las redes sociales para comprender la movilidad turística: el papel de la tecnología de la información y los macrodatos

En este estudio se examinan los parámetros clave en el contexto académico y enfoque geográfico y se evalúan los fundamentos teóricos de estudios en el campo de las redes sociales y la movilidad de los visitantes. Se resumen también las características de datos de las redes sociales, incluidos los métodos de recopilación de datos de las diferentes plataformas de redes sociales así como sus ventajas y limitaciones. Finalmente, se examinan tecnologías y métodos aplicados que respaldan las diferentes cuestiones de la investigación.

El estudio proporciona una evaluación avanzada del conocimiento hasta la fecha sobre la movilidad turística analizada utilizando datos de redes sociales. La diversidad de escalas (con un enfoque dominante en la escala de la ciudad), plataformas y métodos indica que este campo está en auge, pero también refleja la complejidad del fenómeno turístico. En este estudio se identifica una falta de teoría en este campo y se señalan los contúnios desafíos para garantizar el uso apropiado de datos (por ejemplo, diferenciar a los viajeros de los residentes) y la ética que los rodea.

los resultados guían a los investigadores, especialmente a aquellos sin formación en informática, sobre los diferentes tipos de enfoques, fuentes de datos y métodos disponibles para rastrear la movilidad turística mediante el uso de las redes sociales. Existen diferentes herramientas de procesamiento y visualización disponibles dependiendo del interés particular de la investigación.

Patrones de viaje; Movilidad turística; Movimientos de visitantes; Redes sociales; Tecnologías de la información; Macrodatos.

In this study, to investigate tourist mobility (i.e. hotel visits) during the COVID-19 pandemic, the authors developed three objectives with reference to protection motivation theory: (1) to examine changes in travel distances in the USA before and during the pandemic, (2) to identify distinct travel patterns across different regions during the pandemic; and (3) to explore threat- and coping-related factors influencing tourist mobility.

The authors used two primary sources of data. First, smartphone data from SafeGraph provided hotel-specific variables (e.g. location and visitor counts) and travel distances for 63,610 hotels in the USA. Second, state-level data representing various factors associated with travel distance were obtained from COVID-19 Data Hub and the US Census Bureau. The authors analyzed changes in travel distances over time at the state and regional levels and investigated clinical, policy and demographic factors associated with such changes.

The findings reveal actual travel movements and intraregional variances across different stages of the pandemic, as well as the roles of health-related policies and other externalities in shaping travel patterns amid public health risks.

To the best of the authors’ knowledge, this study is the first to empirically examine changes in travel distances to hotels as destinations using smartphone data along with state-level data on COVID-19 and demographics. The findings suggest that tourism enterprises and stakeholders can proactively adapt their strategies by considering threat appraisals and coping mechanisms, both of which are influenced by externalities such as health-related policies.

在我们的研究中, 为了调查COVID-19大流行期间的旅游出行（例如：酒店访问）, 我们根据保护动机理论制定了三个目标：（1）研究在COVID-19大流行前后美国的旅行距离的变化, （2）在大流行期间识别不同地区的不同旅行模式; 以及（3）探讨影响旅游出行的威胁和应对因素。

我们利用了两个主要数据源。首先, 来自SafeGraph的智能手机数据提供了63,610家美国酒店的酒店特定变量（例如位置和访客计数）以及旅行距离数据。其次, 代表与旅行距离相关的各种因素的州级数据来自COVID-19数据中心和美国人口普查局。我们分析了州级和地区级的旅行距离随时间的变化, 并调查了与这些变化相关的临床、政策和人口因素。

我们的研究结果揭示了不同阶段的实际旅行动态和地区内的差异, 以及在公共卫生风险中塑造旅行模式的健康相关政策和其他外部因素的作用。

我们的研究是第一个利用智能手机数据以及与COVID-19和人口统计数据相关的州级数据, 经验性地研究了旅行距离到酒店作为目的地的变化。我们的研究结果表明, 旅游企业和利益相关者可以通过考虑威胁评估和应对机制来主动调整他们的策略, 这两者都受到健康相关政策等外部因素的影响。