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The purpose of this study is to chart the development in computer-assisted language learning (CALL), by building a map of existing research work in the field. Based on a corpus of 163 manuscripts, published between January 2009 and September 2010 in four major journals devoted to CALL, it sets out to describe the range of topics covered under the umbrella of CALL and provide a holistic view of the field.

The approach adopted in this research includes: development of the 2009-2010 CALL corpus; literature overview and initial coding scheme development; refinement of the initial coding scheme with the help of a focus group and construction of the CALL map version 1.0; refinement of the CALL map version 1.0 following a systematic approach of content analysis and development of the CALL map version 2.0; evaluation of the proposed structure and inclusiveness of all categories in the CALL map version 2.0 using card sorting technique; and finally development of the CALL map version 3.0.

The research trends in the categories of the CALL map are discussed, as well as possible future directions in the field.

This paper provides a holistic view of the field of CALL guiding both junior CALL researchers to place themselves in the field, and policy and decision makers who attempt to evaluate the current and future scholar activity in the field. Finally, it caters for more experienced researchers to focus on certain underinvestigated domains.

This paper aims to report work regarding the design, development and evaluation of a surface computing application to support collaborative decision making. The domain-independent application, the so-called Ideas Mapping, builds on the principle of affinity diagramming to allow participants to analyze a problem and brainstorm around possible solutions, while they actively construct a consensus artifact – a taxonomy of their ideas.

Ideas Mapping was designed using a user-centred approach. During idea generation, Ideas Mapping replicates physical post-it notes on a multi-touch tabletop. Additional functionality supports student collaboration and interaction around the organization of ideas into thematic categories associated with the problem at hand. The tool was evaluated in two studies using quantitative and qualitative data.

The paper reports on the functionality and user experience while interacting with the application. The paper also reports initial findings regarding the affordances of surface computing for collaborative decision making.

The studies reported give insides regarding the affordances of multi-touch tabletops to support collaborative decision making. Information regarding the user experience in using such applications is reported.

This study investigates the relationship between corporate social responsibility (CSR) and financial performance of the banking sector from the prospective of emerging countries.

This study obtained balance sheet and income statement data for 173 banks in 20 emerging countries from the Bankscope database from 2005–2018. The CSR-related data were taken from the Thomson Reuters ASSET4 database. Moreover, macroeconomic controls such as GDP per capita, inflation, and financial development are attained from the GFDD. The series of institutional quality indices (Political Stability, Rule of Law, Control of Corruption, Government Effectiveness, and Regulatory Quality) is obtained from the WGI. At the same time, national culture and bank regulation are attained from Hofstede Insights and Barth et al. (2013). We used the panel fixed-effects model in our baseline estimations, while 2SLS and GMM were applied to control for endogeneity.

The finding shows that CSR activities significantly improve bank performance, but the effect varies across the bank. Only environmentally friendly activities have shown a significant positive relationship with banking performance for CSR dimensions. However, the social and government dimensions did not significantly affect bank performance. Moreover, a sound institutional and regulatory environment and national norms play an important role in the nexus of CSR activities and bank performance.

This study provides empirical evidence that sheds light on CSR and bank performance in an emerging market context.

This study aims to focus on a particular type of intra-organizational knowledge sharing that is referred to as peer knowledge sharing. This paper examines how peer knowledge sharing impacts firms’ financial and innovation performance, and the mechanism through which such a relationship is realized. The study also evaluates the extent to which leadership support acts as a key antecedent to peer knowledge sharing.

Drawing on social capital theory and a knowledge-based view of firms, a theoretical model and related hypotheses are presented for testing. A survey design methodology is used to collect data and test the model. Structural equation modeling is used to test the hypothesized relationships based on data collected from 330 knowledge workers in various service-based organizations in Turkey.

The results indicate that the extent of employees’ engagement in knowledge sharing behavior with their peers and their managers’ leadership support exert a positive impact on organizations’ knowledge management success, which, in turn, can affect organizations’ innovation performance positively and, subsequently, their financial performance. Leadership support of the immediate manager is found to be an important factor that contributes to the respondent’s peer knowledge sharing behavior. The proposed model’s invariance testing between male and female respondents revealed that peer knowledge sharing’s contribution to knowledge management success may be different in the two groups.

This study contributes to extant research on knowledge sharing by specifically focusing on peer knowledge sharing and reinforcing leadership support’s importance on knowledge sharing. The study also highlights the importance of knowledge management success as an important mediator necessary for linking individual knowledge management behaviors, such as peer knowledge sharing, with organizational performance.

Knowledge sharing is a topic of continuing interest for organizational researchers, yet limited empirical research has been conducted that links individual-level, intra-organizational knowledge sharing to organizational performance. This study examines this linkage and provides empirical support for this relationship, while simultaneously pointing to an important type of knowledge sharing that occurs within organizations, referred to as peer knowledge sharing.

The purpose of this paper is to examine the impacts of research and development (R&D) investment and environmental, social and governance (ESG) performance on green innovation performance. This paper also investigates the moderating effect of ESG performance between R&D investment and green innovation performance.

The study uses the data of 223 Chinese listed companies over the period 2015–2018. The ESG indices issued by SynTao Green Finance are used to measure ESG performance. Green innovation performance is measured by the total number of green patents, the number of green invention patents and the number of green non-invention patents. Finally, multiple regression analysis is applied to test the research hypotheses.

The results show that R&D investment has a positive impact on green innovation performance and ESG performance can increase the number of green invention patents. In addition, ESG performance moderates the relationship between R&D investment and green innovation performance.

The findings may help managers and policymakers in developing countries to make ecological innovation strategies to achieve corporate sustainability.

This is the first study to examine the impacts of R&D investment and ESG performance on green innovation performance in the context of China, an emerging market.

This paper aims to examine the relationship between environmental, social and governance (ESG) performance and systemic risk sensitivity of Chinese listed companies. From the consumer loyalty and investor structure perspectives, the relationship between ESG performance and systemic risk sensitivity is analyzed.

Since Morgan Stanley Capital International (MSCI) ESG officially began to analyze and track China A-shares from 2018, 275 listed companies in the SynTao Green ESG testing list for 2015–2021 are selected as the initial model. To measure the systematic risk sensitivity, this study uses the beta coefficient, from capital asset pricing model (CPAM), employing statistics and data (STATA) software.

The study reveals that high ESG rating companies have high corresponding consumer loyalty and healthy trading structure of institutional investors, thereby the systemic risk sensitivity is lower. This paper reveals that companies with high ESG rating are significantly less sensitive to systemic risk than those with low ESG rating. At the same time, ESG has a weaker impact on the systemic risk of high-cap companies than low-cap companies.

The study helps the companies understand the influence of market value on the relationship between ESG performance and systemic risk sensitivity. Moreover, this paper explains explicitly why ESG performance insulates a firm’s stock from market downturns with the lens of consumer loyalty theory and investor structure theory.

The paper provides new insights on the company’s ESG performance that significantly affects the company’s systemic risk sensitivity.