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This SWOT (strengths, weaknesses, opportunities and threats) analysis was conducted to have a portrait of the competitiveness of Council of Scientific and Industrial Research (CSIR) on the global map. Being a 75-year-old scientific organization, CSIR has raised each and every laboratory with a specific mandate and competency. It is definite that the organization would get some assistance from these points, which are briefly stated, as the institutional data reside with the laboratory only. To some extent, they can be considered on their discretion; however, the organization has raised its position to international standards, but still it can consider few areas/suggestions from this analysis. These points are suggestive and flexible in nature, which are identified and defined to elevate this organization on the globe. Scientific publications do make a difference, but on the ground, if the technologies are not viable and received by public, it makes no difference. Today, India is fortunate to have a Prime Minister like Mr Modi, who always re-evaluates the issues and solutions so that the country moves from developing to a fast-pace developed nation. It is a fact that if these research organizations reorganize themselves and prioritize the research problems, they are capable enough to become a pioneer among the world R&D industry. This paper aims to analyze the organization and suggest few points with significant findings which can assist in scaling toward excellence on a global scale.

On the basis of random sampling, laboratories were identified where their achievements and contribution toward industry and society were evaluated. On the basis of their setup, the organization and laboratories were evaluated to frame-out a SWOT analysis.

SWOT analysis is a deliberate technique carried out to analyze the current situation of the system and to analyze the internal and external environment, which provides and edge to the organization to sustain. The major factors assessed were manpower, machines, money and funding, and achievements and deliverables were studied.

The research, i.e. SWOT, is unique in nature, as it was not carried out earlier on such a scale. To some extent, the points suggested in SWOT and conclusion can be considered on their discretion; however, the organization has raised its position to international standards, but still it can consider few areas/suggestions from this analysis. These points are suggestive and flexible in nature, which are identified and defined to elevate this organization on the globe. Scientific publications do make a difference, but on the ground; if the technologies are not viable and received by public, it makes no difference. Today, India is fortunate to have a Prime Minister like Mr Modi, who always re-evaluates the issues and solutions so that the country moves from developing to a fast-pace developed nation. It is a fact that if these research organizations reorganize themselves and prioritize the research problems, they are capable enough to become a pioneer among the world R&D industry.

The paper develops a model for enhancing R&D productivity for Indian public funded laboratories. The paper utilizes the productivity data of five Council of Scientific and Industrial Research (CSIR) laboratories for analysis and to form the constructs of the model.

The weighted average method was employed for analyzing the rankings of survey respondents pertaining to the significant measures enhancing R&D involvement of researchers and significant non-R&D jobs. The authors have proposed a model of productivity. Various individual, organizational and environmental constructs related to the researchers working in the CSIR laboratories have been outlined that can enhance R&D productivity of researchers in Indian R&D laboratories. Partial Least Squares-Structural Equation Modeling (PLS-SEM) was used to find the predictability of the productivity model.

The organizational factors have a crucial role in enhancing the R&D outputs of CSIR laboratories. The R&D productivity of researchers can be improved through implementing the constructs of the proposed model of productivity.

The R&D productivity model can be adapted by the R&D laboratories to enhance researchers’ R&D involvement, increased R&D outputs and achieving self-sustenance in long run.

The R&D laboratories can initiate exercises to explore the most relevant factors and measures to enhance R&D productivity of their researchers. The constructs of the model can function as a guideline to introduce the most preferable research policies in the laboratory for overall mutual growth of laboratory and the researchers.

Hardly any studies have been found that have focused on finding the measures of enhancing R&D involvement of researchers and the influence of significant time-intensive jobs on researchers’ productivity.

The purpose of this paper is to investigate the impact of foreign direct investment (FDI) on the stock market development in Nepal.

The study used Johansen cointegration approach to determine long-run relationship and VEC Granger causality test to check the causal relations between the variables. The sample covered annual time-series data for the period 1996–2020.

The results suggest that FDI plays significant positive role in the stock market development in the long-run but inversely affect in the short-run. Unidirectional causality running from FDI to stock market development is observed in the long-run and bidirectional in the short-run. There is an insignificant positive relationship between exchange rate and FDI in the short-run. Banking sector development complements stock market development in the short-run but act as a substitute in the long-run. The statistically negative coefficient of exchange rate imply that the appreciation of the home currency encourage the development of the stock market in the long-run.

The positive and statistical coefficients of cointegration results indicate that FDI complements the development of stock market in Nepal in the long-run. Furthermore, the depreciation of the domestic currency may potentially contribute to the foreign direct investments in Nepal.

The purpose of this paper is to examine the impact of social intelligence (SQ) and emotional intelligence (EQ) on cultural intelligence (CQ) and to further examine the mediating role played by cross-cultural adjustment (CCA) in the relationship between CQ and job performance. Furthermore, the role played by experience and perceived social support between CQ and CCA has also been assessed.

Data were collected from 342 managers working in nationalized banks in J&K (India). Exploratory factor analysis was used for scale purification. Data were validated using confirmatory factor analysis and hypotheses have been tested through structural equation modeling.

The study reveals that EQ and SQ significantly affect CQ. In addition, CCA mediates the relationship between CQ and job performance. Finally, perceived social support and experience moderates the relationship between CQ and CCA. The implications and limitations of the study have also been discussed.

The study is cross-sectional in nature. The study has been carried out in the Indian cultural context, which can be extended to other Asian countries.

The study enhances the knowledge about CQ as an effective intercultural competency. Organization can use the CQ scale as a selection tool.

This study empirically examined the relationship between the predictors and the outcomes of CQ. Further, the study examines the moderated mediation effect of the interaction of CQ and experience and CQ and perceived social support through CCA on job performance.

Organizations in India are multicultural in nature. In this context, cultural intelligence is a tool, which can increase an individual’s ability to interact with people outside his/her culture. The purpose of this paper is to analyze the impact of cultural intelligence on task performance as well as to investigate the mediating role of cultural adjustment between the two.

Extensive review of literature was done to acknowledge the cultural intelligence and task performance concept. Data for the study has been collected from the 225 managers working in nationalized banks in Jammu province (J&K, India). Data collected has been validated using confirmatory factor analysis and hypotheses have been tested through structural equation modeling.

The study reveals that cultural intelligence significantly contributes toward task performance. The findings further reveal full mediation of cultural adjustment between cultural intelligence and task performance.

The study has been conducted in Indian cultural context, which can be extended to other Asian countries. Further, more outcomes of cultural intelligence can be taken into consideration in future for better understanding of the concept.

The study contributes toward cultural intelligence theory. Organization should provide cultural training to the managers before sending them to out of home state assignment, which helps to understand the culture of that state and effectively interact with people belonging to that place.

The paper empirically identifies the relationship between cultural intelligence and task performance in Indian context. Further, this relationship has been explored by using cultural adjustment as a mediator between the two. The model developed can be used for future research keeping it as a base.

Organisations operate in diverse cultural environment, which is a challenging task due to absence of cultural knowledge and difficulty in adapting the native culture that usually leads to expatriate failure. In this context cultural intelligence plays an important role in the adjustment of employees. The purpose of the study is to examine the mediating role played by cultural intelligence between cross-cultural training and cross-cultural adjustment relationship. It further analyses the moderating role of cross-cultural training and types of expatriate between cultural intelligence and cross-cultural adjustment relationship.

Set in a large culturally diverse emerging economy context, data have been gathered from 530 managers working in banking sector. Data have been duly assessed for reliability and validity.

The results revealed that cultural intelligence mediates cross-cultural training and cross-cultural adjustment relationship. Evidence from the analysis further suggests that cross-cultural training and types of expatriate moderate the relationship between cultural intelligence and cross-cultural adjustment. Lastly, the managerial and theoretical implications have been put forth for practical and academic perusal.

The study is cross-sectional in nature and data have been collected from single source.

Organisations should design such training programmes, which motivate the managers to successfully complete out of home state assignment and help them to adapt in the cross-cultural situations.

Culturally intelligent employees/managers are able to communicate with people belonging to diverse culture, which results in building trust, loyalty and cordial relationship amongst the people. This will create the feeling of unity in the society thereby bringing national as well as global peace.

The study develops the extant literature on cross-cultural training and types of expatriate as effective intercultural instruments to enhance the capability of the managers to interact and adjust in host region environment.

This paper aims to highlight the research output of library and information science of the BRICS (Brazil, Russia, India, China and South Africa) nations during the ten year period, i.e. 2005-2014, as reflected through the Web of Science database.

This study used Social Science Index (SSCI) of Web of Science (WoS) citation database to collect data for the ten year period. All records indexed in SSCI were refined by subject area of “Information Science and Library Science” and selected countries. The downloaded results were analyzed by using specific parameters.

WoS indexes different kinds of documents, such as articles, conference proceedings, biographical items, book reviews, corrections, editorial material, letters, reprints and reviews. Out of the BRICS output, almost 90 per cent of papers were articles. Other types of documents included conference papers, review papers and book reviews. China contributed nearly half of the documents followed by Brazil, South Africa, India and Russia. On an average, a document had cited 34 references. More than one-third of records did not receive any citations. It has been observed that the titles that had 11-16 words attracted the most number of citations. The top ten publishers in whose journals the researchers published included Emerald, Elsevier and Springer. The primary subject areas were information science and library science, information systems, interdisciplinary applications and management. About 85 per cent of the documents were published in English. Around 93 per cent of the non-English research publications were in Portuguese, the official language of Brazil.

There are not many studies on BRICS countries and that too about Library and Information Science (LIS) research output. This study may reveal insights into how LIS researchers interact with local and global issues in a specific spectrum of the world community.

The Indian Institute of Technology at Kharagpur has begun developing an information facility called KELNET (Kharagpur Electronic Library on the Internet) as a means of coping with the spiralling cost of information resources and the increased demands being placed on library services. Describes the development of KELNET to date and looks at prospects for its continuation.

This study aims to determine the mutual association between the volatility of macroeconomic indicators (MIs) and India’s tourism demand.

Bivariate generalized autoregressive conditional heteroscedasticity (GARCH) models are applied to estimate the volatility spillover effect (VSE) from one market to another. Compared to the other methods, bivariate GARCH has wide acceptance for estimating the VSE. The monthly MIs and tourism demand data (2012–2021) are gathered for empirical analysis.

The evidence of the growth-led tourism (GLT) demand is seen. In the short term, tourism-led growth (TLG) is indicated. However, this TLG does not sustain itself in the long run. There is significant evidence in favour of the VSE from the MIs to the tourism demand ensuring GLT in India.

The main implication of the current study is to ignore the short-term influence of tourism demand on the economy because it does not sustain itself in the long run. However, the long-term influence of macroeconomic indicators on tourism demand should be seen with caution. Hedging, if possible, may be considered to protect the tourism sector’s interests from adverse economic fallouts.

There is a lack of studies on the volatility (especially on the VSE) between MIs and tourism demand. Hence, this study fills the research gap and presents a novel and unique contribution to the extent of the knowledge body on the topic and significantly contributes.

双变量GARCH模型用于估计从一个市场到另一个市场的波动溢出效应(VSE)。与其他方法相比, 双变量GARCH在估计波动溢出效应时得到了广泛的接受。收集2012-2021年的月度管理信息系统和旅游需求数据进行实证分析。

该研究旨在确定宏观经济指标(MIs)的波动与印度旅游需求之间的相互关系。

GLT(增长主导的旅游需求)的证据显而易见。从短期来看, 旅游导向型增长(TLG)可行。然而, 这种旅游导向型增长并不能长期维持下去。有重要的证据支持印度管理信息系统到旅游导向型增长的旅游需求波动溢出效应。

当前研究的主要启示是忽略了旅游需求对经济的短期影响, 因为从长远来看, 它无法自我维持。然而, 宏观经济指标对旅游需求的长期影响应谨慎看待。如有可能, 可考虑对冲, 以保护旅游业的利益不受不利的经济影响。

目前对管理信息需求与旅游需求之间的波动（尤其是波动溢出效应）的研究较少。因此, 本研究填补了这个研究空白, 并对该主题知识体系的内容呈现新颖而独特的促进作用, 有显著的贡献作用。

Los modelos GARCH bivariantes se aplican para estimar el efecto indirecto de la volatilidad (VSE) de un mercado a otro. En comparación con otros métodos, el GARCH bivariante goza de gran aceptación para estimar el VSE. Para el análisis empírico se recopilan los MI mensuales y los datos de demanda turística (2012–2021).

El estudio se centra en medir la relación mutua entre la volatilidad de los indicadores macroeconómicos (MI) y la demanda turística de la India.

Se observan indicios de GLT (demanda turística impulsada por el crecimiento). A corto plazo, se evidencia el TLG (crecimiento impulsado por el turismo). Sin embargo, este TLG no se mantiene a largo plazo. Existen pruebas significativas a favor del VSE de los MI a la demanda turística que garantizan el GLT en India.

La principal implicación del presente estudio es desestimar la influencia a corto plazo de la demanda turística en la economía porque no se sostiene a largo plazo. Sin embargo, la influencia a largo plazo de los indicadores macroeconómicos en la demanda turística debe considerarse con cautela. Por ello, la cobertura de riesgos puede plantearse para proteger los intereses del sector turístico de las repercusiones económicas adversas.

Existe una carencia de estudios sobre la volatilidad (especialmente en el VSE) entre los MI y la demanda turística. En consecuencia, este estudio realiza una aportación investigadora mediante una contribución novedosa y única en la ampliación del conocimiento sobre el tema de análisis.