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1 – 10 of over 41000Shuhan Li, Shilin Liu and Xushi Ding
To offer a realistic foundation for urban cultural construction planning, we want to investigate the distribution features of Shanghai's cultural functional elements and examine…
Abstract
Purpose
To offer a realistic foundation for urban cultural construction planning, we want to investigate the distribution features of Shanghai's cultural functional elements and examine the distribution patterns in urban space.
Design/methodology/approach
In this research, we managed to gather POI geographic data, refined and categorized them to integrate eight categories of cultural functional elements, observed the density and agglomeration, distribution direction and hot and cold spots of overall and each type of cultural functional elements using geospatial analysis methods and then investigated the factors influencing cultural functional elements using geographic detectors.
Findings
Our research shows apparent differences between regions and most cultural functional elements are found in the inner city. Second, there are hot and cold spots in the way different cultural functional elements are spread out. Its geographic structure is primarily influenced by third-party traffic service capacity and available time.
Originality/value
This work provides a benchmark for cultural planning in Shanghai by establishing the spatial aggregation impact of cultural functional elements.
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Yiming Li, Xukan Xu, Muhammad Riaz and Yifan Su
This study aims to use geographical information on social media for public opinion risk identification during a crisis.
Abstract
Purpose
This study aims to use geographical information on social media for public opinion risk identification during a crisis.
Design/methodology/approach
This study constructs a double-layer network that associates the online public opinion with geographical information. In the double-layer network, Gaussian process regression is used to train the prediction model for geographical locations. Second, cross-space information flow is described using local government data availability and regional internet development indicators. Finally, the structural characteristics and information flow of the double-layer network are explored to capture public opinion risks in a fine-grained manner. This study used the early stages of the COVID-19 outbreak for validation analyses, and it collected more than 90,000 pieces of public opinion data from microblogs.
Findings
In the early stages of the COVID-19 outbreak, the double-layer network exhibited a radiating state, and the information dissemination was more dependent on the nodes with higher in-degree. Moreover, the double-layer network structure showed geographical differences. The risk contagion was more significant in areas where information flow was prominent, but the influence of nodes was reduced.
Originality/value
Public opinion risk identification that incorporates geographical scenarios contributes to enhanced situational awareness. This study not only effectively extends geographical information on social media, but also provides valuable insights for accurately responding to public opinion.
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Jon M. Hawes, Dale M. Lewison and George E. Prough
Within a marketing framework, the attribute importance perception of corporate buyers and government promoters of distribution facility sites are examined. The results suggest…
Abstract
Within a marketing framework, the attribute importance perception of corporate buyers and government promoters of distribution facility sites are examined. The results suggest some interesting marketing implications for promoters as well as for procurers of physical distribution facilities.
Luis Vinicio Losilla, Alejandra Engler and Verena Otter
The purpose of this paper is to develop and apply a framework that examines the dynamics of internationalization strategies employed by export companies in the agricultural sector…
Abstract
Purpose
The purpose of this paper is to develop and apply a framework that examines the dynamics of internationalization strategies employed by export companies in the agricultural sector of emerging economies over time, with a focus on the locus of destination markets of the Chilean fruit sector. Thus, the objective is to identify conceptual and empirical deviations from existing research on export firms participating in non-agricultural sectors of industrialized countries.
Design/methodology/approach
The matrix of multi-nationality developed by Aggarwal et al. (2011) is extended by incorporating the firm category of “host region” and the dimensions scale and time. This framework is utilized to classify 233 Chilean fresh fruit exporters according to their internationalization strategies based on a geographical distribution of their exports. A uni- and bivariate longitudinal analysis is conducted over a seven-year period (2009–2015) to explore the dynamics of this internationalization process.
Findings
A significant number (12.75 percent) of firms classified as “host regional” are identified, and thus a clear difference in internationalization strategies when compared to non-agricultural sectors in industrialized countries. Simultaneously, similarities in these sectors can be found. Most firms are “transregionally” (65.12 percent) or “globally” oriented (16.06 percent), mainly following a linear internationalization path when considering the number of export markets. But there is also evidence of “born-global” firms, which mainly follow non-linear internationalization paths in more geographically and psychically distant markets.
Research limitations/implications
The extended framework developed in this research can be applied to future studies, particularly in the case of economies where a significant proportion of firms are predominantly focusing their export strategies on one single international market. Since this study focuses on one national sector as a prime example, further studies on other countries and sectors may provide additional evidence of its generalizability.
Practical implications
Based on the findings, concrete measures have been suggested to aid Chilean policy makers in implementing evidence-based economic policies, as well as Chilean public trade organizations and private export associations in the fruit sector, in relation to services such as training, strategy consulting and trade network development that they provide to export firms.
Originality/value
The study contributes to the existing literature by introducing the firm category “host regional” into the matrix of multi-nationality, and empirically verifies its existence among agricultural export firms in emerging economies. Furthermore, it also shows that even when it might result counterintuitive, firms from the agricultural sector share similarities in internationalization strategies with firms from industrial sectors.
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Investigations of urban public services remain confined to western settings while research on urban public services in non-western cities focuses mainly on the availability and…
Abstract
Investigations of urban public services remain confined to western settings while research on urban public services in non-western cities focuses mainly on the availability and delivery of basic services. Using the case study of Calcutta, this study is an empirical investigation of the evolution, spatial distribution, and changes in spatial patterns of public libraries for the period 1850–1991. It seeks to demonstrate the provision and accessibility to public libraries at the intraurban scale thereby extending research of urban service delivery to a non-western city. Within the context of urban service delivery – who benefits and why, the location of libraries in three time periods are analyzed. The study finds that the urban morphology of the colonial city continues to exert a strong influence on the growth and spatial distribution of public libraries. Empirical evidence suggests that there is no locational bias based on physical accessibility in the distribution of public libraries. No progressive or regressive spatial arrangement based on socioeconomic variables is indicated.
Maayan Zhitomirsky-Geffet, Inna Kizhner and Sara Minster
Large cultural heritage datasets from museum collections tend to be biased and demonstrate omissions that result from a series of decisions at various stages of the collection…
Abstract
Purpose
Large cultural heritage datasets from museum collections tend to be biased and demonstrate omissions that result from a series of decisions at various stages of the collection construction. The purpose of this study is to apply a set of ethical criteria to compare the level of bias of six online databases produced by two major art museums, identifying the most biased and the least biased databases.
Design/methodology/approach
At the first stage, the relevant data have been automatically extracted from all six databases and mapped to a unified ontological scheme based on Wikidata. Then, the authors applied ethical criteria to the results of the geographical distribution of records provided by two major art museums as online databases accessed via museums' websites, API datasets and datasets submitted to Wikidata.
Findings
The authors show that the museums use different artworks in each of its online databases and each data-base has different types of bias reflected by the study variables, such as artworks' country of origin or the creator's nationality. For most variables, the database behind the online search system on the museum's website is more balanced and ethical than the API dataset and Wikidata databases of the two museums.
Originality/value
By applying ethical criteria to the analysis of cultural bias in various museum databases aimed at different audiences including end users, researchers and commercial institutions, this paper shows the importance of explicating bias and maintaining integrity in cultural heritage representation through different channels that potentially have high impact on how culture is perceived, disseminated, contextualized and transformed.
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The purpose of this article is to analyse the content of the Nigerian School Library Journal (NSLJ) from 1979‐2010.
Abstract
Purpose
The purpose of this article is to analyse the content of the Nigerian School Library Journal (NSLJ) from 1979‐2010.
Design/methodology/approach
This study adopts a descriptive research approach by means of bibliometric analysis. The NSLJ was examined for subject coverage, geographic distribution of authors, country of origin of authors, publication output, collaboration among authors, international visibility, gender of authors, research type, and language of articles. The international visibility of the journal was investigated through the web‐based version of Ulrich's Periodicals Directory, Africa Journals OnLine (AJOL) and literature search.
Findings
There have been nine issues since the first publication in 1979. The study discovered that NSLJ was not listed among the known LIS journals from Nigeria. The geographical distributions and nationality of the authors in NSLJ indicated that all the authors were Nigerians, and the level of collaboration among the authors was low (16.7 per cent) while single authors were many (83.3 per cent). The study revealed that most articles used the survey research design followed by historical strategies, literature review and case studies.
Practical implications
The NSLJ does not have the visibility it needs internationally; therefore the editors could aim to index the journal in renowned abstracting services. NSLJ editions should aim to get published on time using a quality peer review process and the journal should be listed with AJOL because increasing the visibility of the journal would assist in increasing the journal's quality.
Originality/value
The study has identified gaps in promoting school library research from Nigeria internationally, and in the quality of Nigerian research that could be addressed by future studies.
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Di Fan and Chengyong Xiao
Uncertainties caused by political risks can drastically affect global supply chains. However, the supply chain management literature has thus far developed rather limited…
Abstract
Purpose
Uncertainties caused by political risks can drastically affect global supply chains. However, the supply chain management literature has thus far developed rather limited knowledge on firms' perception of and reactions to increased political risks. This study has two main purposes: to explore the relationship between extant risk exposure and perceived firm-specific political risk and to understand the impact of firm-specific political risk on firms' vertical integration and diversification strategies.
Design/methodology/approach
The authors developed a unique dataset for testing our hypotheses. Specifically, the authors sampled manufacturers (SIC20-39) listed in the United States from 2002 to 2019. The authors collected financial and diversification data from Compustat, vertical integration data from the Frésard-Hoberg-Phillips Vertical Relatedness Data Library and political risk data from the Economic Policy Uncertainty database. This data collection process yielded 1,287 firms (8,329 observations) with available data for analysis.
Findings
A two-way fixed-effect regression analysis of panel data revealed that firms tend to be more sensitive to political risk when faced with income stream uncertainty or strategic risk. By contrast, exposure to stock returns uncertainty does not significantly influence firms' sensitivity toward political risk. Moreover, firm-specific political risk is positively associated with vertical integration and product diversification. However, firm-specific political risk does not result in higher levels of geographical diversification.
Originality/value
This study joins the literature that systematically explores the antecedents and implications of firm-specific political risk, thus broadening the scope of supply chain risk management.
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Yun Schüler‐Zhou and Margot Schüller
The purpose of this paper is to offer a critical perspective on China's official outward foreign direct investment (OFDI) data, commonly used in most research on the…
Abstract
Purpose
The purpose of this paper is to offer a critical perspective on China's official outward foreign direct investment (OFDI) data, commonly used in most research on the internationalization of Chinese companies. Owing to the deficiencies of China's statistical system, official OFDI data leave us with only a limited understanding of the pattern of Chinese OFDI in general and cross‐border mergers and acquisitions (M&As) in particular.
Design/methodology/approach
Based on a theoretical discussion of the internationalization of companies, some propositions about the development pattern of Chinese M&As are derived. This study uses the Dealogic database, which covers Chinese cross‐border M&As during the period from January 1999 to May 2007 in order to analyse the development trend, geographical destination, sectoral distribution, and equity participation of Chinese cross‐border M&As.
Findings
First, the growth of China's OFDI has not been as fast as expected, while the development of cross‐border M&As has been very impressive. Second, although official OFDI statistics reveal that Asia remains the most important investment destination, our M&A data analysis shows that the developed countries in the West have attracted most Chinese cross‐border M&A investments. Third, in contrast to the official OFDI statistics, our findings reveal a heavy concentration of M&As in mining and manufacturing. Finally, our cross‐border M&A data suggest that Chinese companies predominantly seek high‐level equity participation in the acquired target companies abroad.
Originality/value
This paper fills a gap in the study of the development pattern of Chinese cross‐border M&A investments and offers a complementary view and a better understanding of the internationalization of Chinese companies.
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Yu Qin, Jing Qin and Chengwei Liu
This study aims to examine the evolution of spatial–temporal patterns in China’s hotel industry from 1978 to 2018.
Abstract
Purpose
This study aims to examine the evolution of spatial–temporal patterns in China’s hotel industry from 1978 to 2018.
Design/methodology/approach
A database comprising over 140,000 hotels with more than 30 rooms was created. The exploratory spatial–temporal data analysis (ESTDA) method, based on space–time cube model, was used to explore and visualize the spatial–temporal pattern of hotels.
Findings
The Chinese hotel industry can be divided into two development stages, namely, a large hotel-dominant stage before 2000 and a small–medium-sized hotel-dominant stage after 2000. China’s prefecture-level cities were clustered into four tiers. The higher the tier, the earlier the city will initiate hotel development. The Chinese hotel industry has four continuous hotspots (the Yangtze River Delta, Pearl River Delta, Bohai Rim and Sichuan and Chongqing) and some temporary hotspots.
Research limitations/implications
This study lacks quantitative investigation, which could show the underlying mechanism of the evolution of the Chinese hotel industry.
Originality/value
This study is the first to investigate China’s hotel evolution over 40 years by applying big data and the ESTDA method. The systematic and evolutionary exploration will enable hotel researchers to understand the spatial–temporal nature of hotel distribution better. Introducing the ESTDA method into tourism and hotel research also provides an additional tool to researchers. Hotel investors and operators, city and tourism planners and market regulators can learn from the evolution of location patterns to make better where and when decisions.
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