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This paper aims to examine the impact of host country corruption on foreign direct investment (FDI) from China to developing countries in Africa. With the opposing arguments that corruption is detrimental to or instrumental in FDI and mixed empirical evidence, this paper contributes to the literature by providing new evidence on the issue. Additionally, little research has been done on the impact of corruption on FDI made by developing country multinationals to developing countries. This paper fills a void in this area.

Based on the published literature, as well as China and Africa contexts, the authors develop hypotheses that host countries with low corruption receive more FDI and resource-seeking investments weaken the relationship. The annual stock of Chinese FDI in 35 African countries, host country corruption data and other control variables from 2007 to 2015 are collected. Feasible generalized least squares models are used to test the hypotheses. Additional robustness tests are also conducted.

The findings support the hypotheses. Specifically, Chinese investors make more investments in host countries with low corruption except for resource-seeking investments in resource-rich host counties. The results are statistically significant accounting for various control variables. The results of the robustness tests show that the main findings are robust.

First, this study provides new evidence on the impact of corruption on FDI. Second, this study also fills a void by examining FDI from a developing country, China to other developing countries in Africa. Finally, this study also has a practical implication for Chinese multinationals investing in Africa.

In order to improve the computation efficiency of the four-point rainflow algorithm, a one-stage extraction four-point rainflow algorithm is proposed based on a novel data preprocessing method.

In this new algorithm, the procedure of cycle counting is simplified by introducing the data preprocessing method. The high efficiency of new algorithm makes it a preferable candidate in fatigue life online estimation of structural health monitoring systems.

According to the data preprocessing method, in the process of cycle extraction, all equivalent cycles can be extracted at just one stage instead of two stages in the four-point rainflow algorithm, where the cycle extraction has to be performed from the doubled residue. Besides, there are no residues in the new algorithm. The extensive numerical simulation results demonstrate that the accuracy of new algorithm is the same as that of the four-point rainflow algorithm. Moreover, a comparative study based on a long input data sequence shows that the computation efficiency of the new algorithm is 42% higher than that of the four-point rainflow algorithm.

This merit of new algorithm makes it preferable in some application scenarios where fatigue life estimation needs to be accomplished online based on massive measured data. And it may attribute to preprocessing of input data sequence before data processing, which provides beneficial guidance to improve the efficiency of existing algorithms.

The purpose of this paper is to highlight the use of big data through patentometric insights for R&D decision-making.

This study assesses the inventive activity through ‘big data’ patents, registered by inventors worldwide, using WIPO Patentscope database. The objective is to use the insights from patentometrics for R&D decision-making. The data from WIPO PatentScope (https://patentscope.wipo.int/search/en/search.jsf) was searched for current patent scenario in area of ‘big data’. The data was further organized and cleaned using the Google ‘OpenRefine’. Data was pre-processed to remove all null values. Cleaned data was analyzed using programming language ‘R’, MS Excel (charts and Pivot tables) and free data visualization tool called ‘Tableau Public’, to get insights for R&D decision-making.

The key insights included trends (patents with years of publication), top technologies trending the current space, top organizations leading in these technologies and the top inventors who are publishing patents in these technologies through leading organizations were drawn. Details in Section 5 in the paper.

Global patent data is multi-lingual and spreads across a set of multiple databases. Domain experts may be required to assess, identify and extract the relevant information for analysis and visualization of multi-lingual distributed data sets. Government organizations generally have multi-dimensional goals that may be more toward societal benefits. On the other hand, the commercial companies are more focused on profit. Therefore, the performance management process has to be really effective because it is critical for getting value in the government sector.

Insights from patent analytics serve as the important input to R&D managers as well as policymakers to assess the global needs to plan the national orientation according to the global market. This will help further for R&D projects prioritization, planning, budget allocations, human capital planning and other gamut of R&D management and decision-making.

Facilitation for R&D institutions (government as well as private) to formulate the research strategy for the domains or research areas to delve into. R&D decisions will be completely data-driven making them more accurate, reliable, valid and informed. These insights are very relevant for policymakers as well to facilitate the need assessment to determine the National priorities, make improvements in meeting societal country-level challenges during the resource allocation at top and subsequently at all other levels.

Data analytics of global patents in “big data” till 2019 to get insights to facilitate R&D decision-making.

The purpose of this paper is to build on both the theoretical work concerning the co-creation of experiences, and the need for micro-businesses to adopt a consumer-friendly orientation. The researchers examined the compatibility of vendors’ views of their visitors’ perspectives and the visitors’ own assessments of two Hong Kong night markets. Using a large sample survey with over 1,900 tourists and 120 vendors, and examining the data through mean difference testing and factor analysis, the comparability of the views was examined. Key findings were that vendors consistently overestimated the positivity of the visitors’ views. Value for money, trustworthiness of the vendors and product variety were items indicating strong differences where vendors assumed visitors perceived night markets more favorably than did the visitors themselves. The work challenges some assumptions of service design logic and speculates that the durability of night markets is at risk without better vendor understanding of the visitors’ perspectives.

The study builds on both the theoretical work concerning the co-creation of experiences, and the need for micro-businesses to adopt a consumer-friendly orientation. The researchers examined the compatibility of vendors’ views of their visitors’ perspectives and the visitors’ own assessments of two Hong Kong night markets. Using a large sample survey with over 1,900 tourists and 120 vendors and examining the data through mean difference testing and factor analysis, the comparability of the views was examined.

Key findings were that vendors consistently overestimated the positivity of the visitors’ views. Value for money, trustworthiness of the vendors and product variety were items indicating strong differences where vendors assumed visitors perceived night markets more favorably than did the visitors themselves. The work challenges some assumptions of service design logic and speculates that the durability of night markets is at risk without better vendor understanding of the visitors’ perspectives.

For the present work, it would be desirable to ascertain that the figures reported apply to other night markets in Hong Kong and China. Further, the generalizability of the results for different market types, those that offer food or cater to specific interests needs examination. The possibility exists that the general night market will fold as specific tailored options, such as craft, art, flower and homewares themed spaces replace the basic all-purpose format.

The implications from this work are that vendors may have to form new group alliances to understand and then deliver the overall atmosphere, quality of goods and service interactions prized by tourists. Vendors need to sustain their appeal and sales through maintenance of these overall night market characteristics. The vendors may be able to escape individual censure and rejection for a while due to the transient customer base, but broader destination and attraction image concerns are likely to be a longer-term force requiring attention.

The implications from this work are that vendors may have to form new group alliances to understand and then deliver the overall atmosphere, quality of goods and service interactions prized by tourists. Vendors need to sustain their appeal and sales through maintenance of these overall night market characteristics. The vendors may be able to escape individual censure and rejection for a while due to the transient customer base, but broader destination and attraction image concerns are likely to be a longer-term force requiring attention.

The broad aim of the study can be identified as the desire to examine the compatibility of vendor and tourists’ views, and the more specific aims of this broad agenda will be articulated after reviewing the core conceptual ideas driving the work.

Reviews articles published in three Asia Pacific‐based tourism journals: the Journal of Tourism Studies, Tourism Recreation Research and the Asia Pacific Journal of Tourism Research. Identifies five tourism themes relating to articles published over an eight year period from 1989‐1996. These are: tourist markets, tourist flows, tourism development, sustainable tourism development and social, economic and cultural impacts of tourism.