The quantitative and qualitative evolution of the social security research

This article examines the evolution of social security research from a theoretical and empirical perspective. This is done through an extensive review and analysis of publications from the Journal of International Social Security Review published by Wiley within a 50-year period (1967–2017). It was observed that at a different period in time, the social security research focused on different national and international issues that invoked different social welfare programs and pension systems approach (public or private) to facilitate the explanation of its final socio-economic impact into different social groups in the same country or region respectively.     

Identification of future signal based on the quantitative and qualitative text mining: a case study on ethical issues in artificial intelligence

To foresee the advent of new technologies and their socio-economic impact is a necessity for academia, governments and private enterprises as well. In the future studies, the identification of future signal is one of the renowned techniques for analysis of trends, emerging issue, and gaining future insights. In the Big Data era, recent scholars have proposed using a text mining procedure focusing upon web data such as new social media and academic papers. However, the detection of future signals is still under a developing area of research, and there is much to improve existing methodology as well as developing theoretical foundations. The present study reviews previous literature on identifying emerging issue based on the weak signal detection approach. Then the authors proposed a revised framework that incorporate quantitative and qualitative text mining for assessing the strength of future signals. The authors applied the framework to the case study on the ethical issues of artificial intelligence (hereafter AI). From EBSCO host database, the authors collected text data covering the ethical issues in AI and conducted text mining analysis. Results reveal that emerging ethical issues can be classified as strong signal, weak signal, well-known but not so strong signal, and latent signal. The revised methodology will be able to provide insights for government and business stakeholders by identifying the future signals and their meanings in various fields.     

Representations of Australia in South Korean online news: a qualitative and quantitative approach utilizing Leximancer and Korean keywords in context

This article outlines original empirical research using a quantitative computer-assisted big data approach to survey and evaluate the representation of Australia in popular South Korean online news media sources. This is an exploratory content analysis of news reporting (in Korean and English) on Australia in key Korean digital news media providers and distributors over a six-month-period during which certain key events occurred that drew Korean news media attention to Australia. The research aims to address the fundamental question: what forms and patterns of representation of Australia are present in South Korean online news media? It is designed in large part to understand how Australia is present as a theme in Korean online news, and how this theme is contextualized by associated topics, such as trade, security, or tourism. The quantitative analysis is augmented using a qualitative method: a series of key informant interviews conducted with editors and journalists responsible for the production and prioritization of news. Further, it is interpreted by locating the research in the context of the Australia-South Korea relationship. We summarize the complexities that arise when analyzing large amounts of textual content, especially from two very different languages, discuss the opportunities that arise from mixed methods—by combining big data (breadth) with contextual analysis (depth) and offer suggestions for aspiring researchers.     

A modular fuzzy inference system approach in integrating qualitative and quantitative analysis of store image

The image situation in a store includes various stimuli, such as color, sound, scent, taste, layout and space, which are important clues for buyers. This paper describes store image response and a fuzzy logic model developed by comprehensive literature studies on image measurements (including atmospheric factors) and perceptual measures. Here, a fuzzy inference system is proposed as an alternative approach to handle effectively the impreciseness and uncertainty that are normally found in store image selection processes. This paper also shows that the proposed decision-making model is application to modified stimulus?Corganism?Cresponse (S?CO?CR) framework for integrating qualitative and quantitative analysis. The result of the simulation indicates a numerical and linguistic change in the store image perception after analyzing three input parameters. This finding is able to provide a solid foundation on which retailers and decision makers can base suitable strategies for ensuring the efficiency and stability of store image management system.     

Modeling the unethical intention of software piracy: a qualitative integration of network externalities and information cascades

Information cascades and network externalities have been increasingly influential in explaining the many market outcomes of information technology (IT), but their application to ethical issues of IT has been limited. This study proposes a conceptual model of unethical intention of software piracy by integrating information cascades and network externalities in terms of a theoretical perspective from the literature of economics. In the conceptual model, unethical intention of software piracy is proposed to be influenced by the network benefits of using pirated software, while the network benefits are proposed to be affected by the overall adopter base of pirated software directly and indirectly through the availability of pirated complementary software. Accordingly, whereas the perception of others’ piracy is proposed to be influenced by the overall adopter base of pirated software, the unethical intention of software piracy is proposed to be influenced indirectly by the perception of others’ piracy through the perceived signal that piracy seems a good idea. Finally, this study also provides the conclusion and limitation.     

The influence of individual characteristics,plan characteristics and work-related factors on salaried employees' attitudes towards profit sharing: a Canadian case

We examined the influence of individual and plan characteristics and work-related factors on salaried employees' attitudes towards profit sharing. Employees who were committed to their company, had a high work ethic, did not feel there should be a guaranteed minimum pay-out and who believed that there was a connection between exerting effort and their job performance as well as between their own performance and profit-sharing pay-outs had a more favourable attitude towards profit sharing in general. Employees who were committed to their company, had greater knowledge of their company's profit-sharing plan, preferred the cash bonus distribution scheme and believed there was a connection between their own performance and profit-sharing pay-outs had a more favourable attitude towards their company's profit-sharing plan. The results suggest that individual characteristics and work-related factors are as important to the successful implementation of a profit-sharing plan as the features of the plan itself.     

竞价上网对湖南中小型水电的影响及对策

文章系统深入地分析了影响湖南省中小型水电竞价上网的因素,提出了中小型水电应该归口水利部门管理,以及中小型水电积极开展自身改革、制度创新的同时实现科技创新,加快人力资源开发的对策措施。     

The influence of telecenters on rural life and their success correlates: Lessons from a case study in Iran

New information and communication technologies (ICTs) are fast becoming an inevitable and necessary part of rural development projects in Asian countries. Since 2004, about 10,000 Rural ICT Offices have been opened in Iran to improve the lives of those living in rural communities. This research aimed at investigating the influence of the Mazijan ICT Office on the lives of villagers and its success correlates. Data was collected through archival records, observations, structured face-to-face interviews with 210 users, semi-structured face-to-face interviews with the office operator, and six local officials and leaders. Findings were contrasted with the literature to provide more generalized lessons. Results revealed that the Mazijan office was successful in some aspects especially in reducing the need for travels, but not successful in creating job opportunities. Significant positive relationships were found between users' ICT literacy, satisfaction with the services and extent of using services with the extent to which their lives were influenced by the office. The main lessons for promoting the success of telecenters included careful considerations to be given to rural ICT capacity building, improvement of rural telecommunication infrastructures, and providing multiple low-cost and financially viable services.     

Processes in collaborative entrepreneurship: a longitudinal case study of how multiple actors exploit a radically new opportunity

In this longitudinal case study, the authors integrate the theory on social movement with the entrepreneurship literature on opportunity discovery, evaluation, and exploitation. They construct a model on collaborative entrepreneurial processes in which multiple partners are involved in identifying, forming, and exploiting an opportunity. Three interdependent subprocesses are identified: (1) the opportunity conceptualization dialogue, (2) resource mobilization and, (3) legitimacy building, which significantly contribute to our understanding of how individuals across different organizations become engaged in collaborative entrepreneurial processes. The model of collaborative entrepreneurial processes complements traditional models of the entrepreneurial process, which place the individual entrepreneur at the center of the process and does not consider group mobilization processes in which the actors aim to be creative and innovative in collaborating with actors from other organizations or firms.     

Absorptive capacity, its determinants, and influence on innovation output: Cross-cultural validation of the structural model

The main purpose of this study is to provide stronger quantitative evidence in the field of organizational absorptive capacity research by using a more direct measure of absorptive capacity and a wide range of variables in a cross-nationally tested structural model. The results show that there exist two kinds of absorptive capacity: demand-pull and science-push. Their most important determinants proved to be internal R&D, training of personnel, innovation co-operation and attitude toward change. Both kinds of absorptive capacity are positively related to product and process innovation output. Therefore, absorptive capacity is to be given more attention in the future research and innovation policy considerations.     

An application of co-word analysis and bibliometric maps for detecting the most highlighting themes in the consumer behaviour research from a longitudinal perspective

This article presents an application of a bibliometric and visual study of the research carried out on a social science subfield, concretely the consumer behaviour research (CBR), from a longitudinal perspective (period 1966–2008). The study combines performance analysis and science mapping for detecting and visualizing conceptual subdomains. Quantitative and qualitative measures are used in order to identify the most prominent themes. Quantitative data are used to put together very related concepts (themes or clusters of topics), while qualitative indicators (as those based on citations) are used to measure the quality and/or impact of the detected themes. The study also uses bibliometric maps to show in a visual way the associations between the main concepts treated by the CBR community. The maps provide insight into the structure of the CBR, visualize the division of the field into several subfields, and indicate the relationships between these subfields. Co-word analysis is the bibliometric technique used to identify the main themes. All this allows us to quantify and visualize the thematic evolution of the CBR. It also helps to both experts and novices to understand the current state of the art of the CBR and to predict where future research could lead.     

Testing the convergence hypothesis: a longitudinal and cross-sectional analysis of the world trade web through social network and statistical analyses

Different theoretical perspectives support opposite views on convergence: although the dominant view is that convergence is the inevitable outcome of globalization, divergentists (that is, world-system economists and, potentially, also evolutionary geographic ones) argue that convergence forces could be annihilated by the need to keep power relationships within the international division of labor. Even when limiting the convergence issue to international trade, the debate has so far been inconclusive, because various studies have dealt with different and/or short time series or selected too small and different sets of countries. Moreover, none of these studies have analyzed trade patterns and have instead been limited to the aggregate value. Here, through a social network analysis, we examine the world trade patterns from 1980 to 2016 (1980–1992, 1993–2007 and 2008–2016) of at least 164 countries, which have been divided into import and export patterns and into four groups of countries: from core countries to far periphery ones. We test the convergence hypothesis in two directions: the level and trend of convergence, and its possible determination by means of structural or economic globalization, measured in terms of exchanges density and economic values, respectively. We have found that the convergence hypothesis only seems to be confirmed when considering the pure structural aspect and core countries. Conversely, economic convergence—which also includes the structural dimension—has been found to be high for core countries and to increase over time. Moreover, our analysis shows that economic globalization influences convergence, albeit in a strongly negative way. Therefore, our findings seem to support divergentists and the convergence hypothesis should be rejected.

     

Managing venture team relationships in corporate incubators: a case study of network dynamics and political rivalry in a high-tech incubator

This article addresses venture team relationships in an advanced high tech incubator through an analysis of the personal relationships of venture team members. During the study period of almost 2 years, the ventures were projected to grow and commercialise but, overall, they failed. Quantitative data collected in two rounds showed that commercial relationships remained weak while political relationships intensified. Qualitative follow-up interviews suggest that the political rivalry and low level of knowledge sharing between the ventures were further exacerbated by the individualistic-competitive structure of the incubator and weak management in some respects.     

Multivariate analysis of coffee images: A study in the simultaneous display of multivariate quantitative and qualitative variables for several assessors

The paper discusses a small image study in which seven assessors judge nine brands of coffee in terms of six quantitative variables and five categorical variables. Generalised Procrustes Analysis and Generalised Biplots are combined to display simultaneously information on the brands and on both quantitative and categorical variables. An outline is given of the methodology.     

The finite-sample effects of VAR dimensions on OLS bias,OLS variance,and minimum MSE estimators

Vector autoregressions (VARs) are important tools in time series analysis. However, relatively little is known about the finite-sample behaviour of parameter estimators. We address this issue, by investigating ordinary least squares (OLS) estimators given a data generating process that is a purely nonstationary first-order VAR. Specifically, we use Monte Carlo simulation and numerical optimisation to derive response surfaces for OLS bias and variance, in terms of VAR dimensions, given correct specification and several types of over-parameterisation of the model: we include a constant, and a constant and trend, and introduce excess lags. We then examine the correction factors that are required for the least squares estimator to attain the minimum mean squared error (MSE). Our results improve and extend one of the main finite-sample multivariate analytical bias results of Abadir, Hadri and Tzavalis [Abadir, K.M., Hadri, K., Tzavalis, E., 1999. The influence of VAR dimensions on estimator biases. Econometrica 67, 163–181], generalise the univariate variance and MSE findings of Abadir [Abadir, K.M., 1995. Unbiased estimation as a solution to testing for random walks. Economics Letters 47, 263–268] to the multivariate setting, and complement various asymptotic studies.     

实验与理论的结合在病理生理学教学中的改革探索

病理生理学是基础医学与临床医学之间的桥梁学科。病理生理学教学过程中结合理论教学和实验教学内容,不仅激发学生学习兴趣,而且提高学生独立思考及综合分析能力,有助于巩固学生所学的理论知识,对于提高教学质量有很大的帮助。