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The purpose of this paper is to investigate university students’ WeChat usage during the COVID-19 pandemic lockdown in relation to the mediating role of online self-disclosure on their quality of friendship and well-being. A model is proposed to explain how students’ interactions occur during the lockdown and the mediatory role which self-disclosure plays in influencing their socio-psychological markup.

The research model was tested empirically through a survey conducted online with 600 research participants, comprising of university students in China.

Results in structural equation modeling show that WeChat interaction significantly correlates with the quality of friendship, online self-disclosure but not significantly correlates with well-being, but an indirect relationship was found out in the mediation analysis. There is also a significant relationship between online self-disclosure, quality of friendship and well-being. Mediation analysis shows that online self-disclosure mediates the relationship between interactions on WeChat and quality of friendship; it also mediates the relationship between WeChat interaction and well-being. In all, the results achieved in this study will significantly help provide more insights in comprehending the nuances attached to some socio-psychological aspects of WeChat and how its usage affects people during the period of crisis.

Theoretically based investigation of WeChat usage among university students and its relationship with online self-disclosure, quality of friendship and well-being is still quite scarce, thereby underscoring the needs and significance of a theoretically based study in this regard. This study tested the credibility and validity of the proposed model in the context of the recent COVID-19 pandemic lockdown in China, which is one of the first in recent times.

The purposes of this study included: recognizing the risks and challenges farmers face when growing a new crop, understanding agricultural marketing and its processes and developing a marketing strategy for a specialty agricultural product, such as quinoa.

The main focus of this case lies in identifying the risks faced by farmers in growing a new specialty crop and selecting the appropriate marketing strategies for targeting, positioning and channelling an agricultural product.

This case can be used in intermediate- to advanced-level marketing courses at the undergraduate and graduate levels in universities. It can also be used in agriculture and agribusiness–based courses in the undergraduate, graduate or executive level.

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

Rehman, S.U., Selvaraj, M. and Ibrahim, M.S., 2012. Indian Agricultural Marketing-A Review. Asian Journal of Agriculture and Rural Development, 2(1), pp.69-75. Kotler, P., Keller, K.L., Ang, S.H., Tan, C.T. and Leong, S.M., 2018. Marketing Management: An Asian Perspective. Pearson.

CSS 8: Marketing

The purpose of this paper is to review the literature about oriental manuscript collections in India and provide an overview of the area.

A core set of literature on oriental manuscript collections in India was retrieved after doing a thorough literature search in different databases. Literature on various aspects of this topic was reviewed. The paper is organized based on various themes to make the study fruitful for various sections of society.

Oriental manuscripts are present in different research libraries, university libraries and public libraries in India but university libraries are leading others in preserving these manuscripts, with few exceptions. Manuscripts are available in different oriental languages but mostly in Sanskrit. Every religious sect in India has contributed immensely in collecting and preserving these manuscripts. The contribution of famous kings of Indian history is also enormous in this regard.

The review does not claim to be exhaustive, as most sources might have been skipped during the study for their non‐availability.

This paper provides a concise overview of manuscripts present in different Indian libraries and research institution/universities and provides a valuable entry point to the field of Indian manuscripts for research scholars, information scientists and other interested parties.

This paper documents the impact of product market competition on the value of advertising expenditures.

The authors use the data for non-financial firms from India and the pooled regression procedure to test their arguments during the period between 2009 and 2018.

The results show that advertising expenditures of firms operating in sectors with relatively high competition are more valuable than advertising expenditures of firms operating in sectors with relatively low competition. The results of the study are robust across various proxies of advertising expenditures and firm performance. Furthermore, the results also show that the positive impact of product market competition on the value of advertising expenditures is confined only to firms that already have lower agency problems.

The results of the study highlight the importance of product market competition on the value of advertising expenditure in the emerging market setting, where agency problems are supposed to be high.

This work shows the results of a systematic literature review on biomedical text mining. The purpose of this study is to identify the different text mining approaches used in different application areas of the biomedical domain, the common tools used and the challenges of biomedical text mining as compared to generic text mining algorithms. This study will be of value to biomedical researchers by allowing them to correlate text mining approaches to specific biomedical application areas. Implications for future research are also discussed.

The review was conducted following the principles of the Kitchenham method. A number of research questions were first formulated, followed by the definition of the search strategy. The papers were then selected based on a list of assessment criteria. Each of the papers were analyzed and information relevant to the research questions were extracted.

It was found that researchers have mostly harnessed data sources such as electronic health records, biomedical literature, social media and health-related forums. The most common text mining technique was natural language processing using tools such as MetaMap and Unstructured Information Management Architecture, alongside the use of medical terminologies such as Unified Medical Language System. The main application area was the detection of adverse drug events. Challenges identified included the need to deal with huge amounts of text, the heterogeneity of the different data sources, the duality of meaning of words in biomedical text and the amount of noise introduced mainly from social media and health-related forums.

To the best of the authors’ knowledge, other reviews in this area have focused on either specific techniques, specific application areas or specific data sources. The results of this review will help researchers to correlate most relevant and recent advances in text mining approaches to specific biomedical application areas by providing an up-to-date and holistic view of work done in this research area. The use of emerging text mining techniques has great potential to spur the development of innovative applications, thus considerably impacting on the advancement of biomedical research.

This paper aims to examine the effects of monetary policy and foreign shocks on output, inflation and exchange rate in Egypt.

This paper studies the effects of monetary policy and foreign shocks on output, inflation and exchange rate by using non-recursive SVAR model and quarterly data.

First, the empirical results reveal that monetary policy shocks, through changes in interest rate or money supply, have a significant effect on output, inflation and exchange rate in Egypt. Second, the world oil prices and foreign output have significant impacts on output, inflation and exchange rate in Egypt, while foreign interest rate has a significant effect on domestic output and inflation.

The limitation of the study is examining one country only.

The Central Bank of Egypt (CBE) should adjust interest rate to stabilize inflation, output and exchange rate. By stabilizing inflation, output and exchange rate, the CBE would be able to achieve the ultimate targets of monetary policy, namely, price stability and economic growth.

It is important for the CBE because it shows the significant effect of monetary policy on macroeconomic variables in Egypt. Also, it is important for people because it shows the important role for the CBE.

It is important for the CBE because it examines the effect of monetary policy and foreign shocks on macroeconomic variables.

Pakistan's present war against extremists has many folds and sheds. The country's initial participation in the Afghan War in 1979 later gave birth to different extremist trends in the country. State patronage of the extremist Wahabi Islamists during the Afghan jihad opened another conflict in Pakistan, and things became more complicated. The combination of external and internal factors gave birth to the worst kind of conflict, which now has not only become dangerous for the country's own existence but also a major threat for global peace. The Afghan jihad initially started as a war against Soviet occupation and later became the hub of global jihad-war against infidels.

This chapter analyzes how external factors promoted internal contradictions in Pakistan due to which the country became not only an exporter of jihadis for the world but also the worst kind of sectarian conflicts, including. Shia–Sunni, Deobandi–Wahabi clashes, entered into in the past two decades. Such a strong link exists with Pakistan's official support to global jihad. Draft sectarian groups now head to head with their opponents have killed thousands of members of rival sectors, have strong support from external sympathizers, and have spread in the country. The well planned terrorist activities of these groups reflect the fact that support to these groups in the past is now leading to a severe crisis in Pakistan. The nexuses of these indigenous extremists like Lashkar-e-Jhangvi, Lashkar-e-Taiba, Tehrik-e-Taliban Pakistan, and Hizb-ul-Mujahideen with external terrorist organizations like Al-Qaeda, the Taliban, and Islamic Movement of Uzbekistan of Tahir Yuldasher Chechen Guerilla War has led to several bloody clashes in the country and outside.

The purpose of this study is to identify and rank total quality management (TQM) enablers and information technology (IT) resources to provide a reliable and valid measurement instrument for evaluation in Indian information and communications technology (ICT) organizations.

Based on a literature review of TQM enablers and IT resources, 17 factors are identified, of which, 9 are TQM enablers and 8 are IT resources. The empirical data, retrieved from 801 ICT organizations, is tested by descriptive analysis and factor analysis (FA). FA is used to ensure that items in each scale sufficiently reflect the scope of each factor.

This paper has developed an instrument that can be used to evaluate items to implement TQM enablers and IT resources. The instrument identifies 17 reliable and valid factors, out of which 16 are input factors, while 1 is an outcome factor.

This instrument will provide a practical understanding to enable the monitoring of TQM enabler and IT resource activities in ICT organizations. Along with this, these instruments will help to build models related to constructs that will further achievement of customer satisfaction (CS).

This paper presents an instrument which validates the different items of TQM enablers and IT resources. It also shows the relationship between the two in terms of CS.

The purpose of this paper is to review the existing state of research on “Halal” branding and to propose and empirically test the framework for understanding the purchase intention for “Halal” branded products in Indian context.

The research design is cross-sectional in nature; convenience sampling and snowball sampling is done, and completely filled 288 questionnaires are considered for testing the conceptual framework. Structural equation modeling is used to assess the fit of framework. The study has incorporated attitude as a mediating variable in relation to purchase intention for “Halal” branded products. The originality of the research is based on responses collected from the respondents in the form of online and offline questionnaires.

Findings of the direct and indirect effects in the study show that attitude has a full mediation effect on purchase intention, i.e. in the presence of attitude as a mediation variable the direct effect of subjective norm and religiosity is insignificant and the effect caused through attitude is significant.

In a country like India, which enjoys a sufficiently good percentage of Muslim population (14.2 per cent), an understanding of attitude provides enough scope for marketers to strategize techniques to reduce dissonance of non-availability of “Halal” brands.

Research is atypical, as it has focused on the mediation effects of attitude toward “Halal” branded products with the help of cosmetic range of products.

The purpose of this study is to evaluate the effect of blockchain technology on firms’ operational efficiency in the context of China.

The authors use panel data for blockchain-based companies listed on stock exchanges in China (Shanghai, Shenzhen and Hong Kong) between 2014 and 2018. The operational efficiency of firms that deploy blockchain technology is evaluated using ordinary least squares and system generalized method of moments estimation.

Results suggest that companies’ current year performance exceeds the previous year performance because of blockchain deployment in firms’ operations. Firms with higher financial leverage and return on assets reap more benefits from blockchain. Larger and older firms benefit less from blockchain implementation. Stochastic frontier estimation suggests that, on average, firms attain a 57.76 per cent technical efficiency level, or, put differently, they operate 42.24 per cent below their maximum level of potential output.

Blockchain can benefit firms in terms of consensus, security and trust, spurring the evolution of a new form of organizational dynamics. This study explores the theory of transactional cost analysis under blockchain technology. In addition, this study hypothesizes and empirically demonstrates the significant impacts of blockchain technology on corporations’ operational efficiency, using audited, externally reported financial data. Industry professionals can reap benefits from this research by noticing the magnitude of changes in firms’ financial parameters attributable to blockchain adoption.