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This paper defines market research reports, house journals and trade literature, discusses the availability of these forms of literature within the U.K. and finally considers their bibliographic control. The discussion on bibliographic control is not limited to literature emanating from the U.K. Since the three types of literature are very different from each other (although house journals and trade literature have features in common) they will be treated as quite separate cases. The need for, and use of these types of literature, undeniably very important topics, are nevertheless outside the scope of this paper.

This study proposes a literature review and, based on the findings, the authors develop a conceptual framework, attempting to explain how technology may influence visitor behavior and eventually trade show performance.

The present research explores the role of visitors in the trade show context. The analysis specifically focuses on the variables that influence visitors’ participation at business-to-business trade shows and how their satisfaction and perception can be related to exhibition performance. The authors also take into consideration technological trends that prior to COVID-19 pandemics were slowly emerging in the trade show industry.

The findings highlight a continuity between pre-, at and postexhibition phases. Visitors’ behavior represents a signal of how a trade show is perceived as postexhibition purchases and next visit emerge as signals of an exhibition evaluation in relation to visitors’ perception. Besides being urgent tools for the continuity of the sector due to the pandemics, emerging technological trends can be key elements in understanding visitors’ behavior and in boosting their interest and loyalty toward trade shows.

The paper proposes a conceptual model including top notch and innovative technological trends to improve the understandment of visitors’ behavior. Both practitioners in companies and academics might find the study useful, given the digital uplift generated by the pandemics.

The purpose of this paper is to comprehensively review a large and heterogeneous body of academic literature on investors' feedback trading, one of the most popular trading patterns observed historically in financial markets. Specifically, the authors aim to synthesize the diverse theoretical approaches to feedback trading in order to provide a detailed discussion of its various determinants, and to systematically review the empirical literature across various asset classes to gauge whether their feedback trading entails discernible patterns and the determinants that motivate them.

Given the high degree of heterogeneity of both theoretical and empirical approaches, the authors adopt a semi-systematic type of approach to review the feedback trading literature, inspired by the RAMESES protocol for meta-narrative reviews. The final sample consists of 243 papers covering diverse asset classes, investor types and geographies.

The authors find feedback trading to be very widely observed over time and across markets internationally. Institutional investors engage in feedback trading in a herd-like manner, and most noticeably in small domestic stocks and emerging markets. Regulatory changes and financial crises affect the intensity of their feedback trades. Retail investors are mostly contrarian and underperform their institutional counterparts, while the latter's trades can be often motivated by market sentiment.

The authors provide a detailed overview of various possible theoretical determinants, both behavioural and non-behavioural, of feedback trading, as well as a comprehensive overview and synthesis of the empirical literature. The authors also propose a series of possible directions for future research.

This paper aims to review the literature on carbon trading from the perspective of evolution, finds out the evolution path of these literatures and gives out the future research hotspots in this field.

Uses visualization tools (CiteSpace and HistCite) to systematically categorize the literature on carbon-trading schemes in the Web of Science core collection from 1998 to 2018, comprehensively analyzes carbon-trading schemes from four dimensions, namely, discipline evolution, keyword evolution, citation cluster evolution and citation path evolution.

Research on carbon-trading schemes has a specific development and evolution path along four dimensions, namely, in the discipline dimension, the largest change lies in the mathematics pointed to by at least four different disciplines; the keyword evolution dimension shows a gradual deepening emphasis on coordinated development; citation clusters identify three major clusters – carbon prices, China’s carbon trading, carbon market and supply chain; and citation paths identify three major evolutionary paths, the most important of which shows that “What affects carbon price?” has changed to “What is the impact of carbon prices?”

Reveals the evolution path of carbon trading research studies and proposes four possible development directions for carbon-trading scheme research, which is helpful for future carbon trading-related research and serves as a reference for the promotion of and improvements in carbon-trading schemes.

Communication of information from manufacturer to design office is important in raising specifiers' awareness of new building products and product improvements. Efficacy of this process will influence the uptake of innovations, yet the small amount of published research suggests that professionals operate managerial systems, both to limit the volume and to control the quality of this information, in an attempt to ensure its relevance to specifiers in their offices. The research reported here looked at the reasons for filtering information coming into the office and the mechanisms used to achieve these objectives. Interviews with partners of architectural practices and their receptionists, together with views from a number of trade representatives helped to identify and illustrate a number of issues concerning the relationship between manufacturers and designers. Combined, the interviews provide a valuable insight on an area largely neglected by researchers, yet a vital part of the specification process.

This comprehensive study aims to take a punctilious approach intended to present qualitative and quantitative knowledge on the emerging concept of noise trading and identify the emerging themes associated with noise trading.

This study combines bibliometric and content analysis to review 350 publications from top-ranked journals published from 1986 to 2020.

The bibliometric and content analysis identified three major themes: the impact of noise traders on the functioning of the stock market, traits of noise traders and different proxies used to measure the impact of noise trading.

This study undertakes research papers related to the field of finance, published in peer-reviewed journals and that too in the English language.

This study shall accommodate rational traders, portfolio consultants and other investors to gain deeper insights into the functioning of noise traders. This will further help them to formulate their trading/investment strategies accordingly.

The successful combination of the bibliometric and content analysis revealed major gaps in the literature and provided future research directions.

The paper is in the area of international business and international trade. Specifically, this paper aims to focus on cross-border trade flows of goods and services between India and its partner nations.

Using the Cultural, Administrative, Geographic and Economic (CAGE) distance framework (Ghemawat, 2001), this paper provides empirical support for the impact these distance factors exert on the volume of trade in goods and services between countries. The sample used for empirical analysis consists of a set of 62 OECD countries which are involved in trade in goods and services with India over the period 2005 through 2015. This paper estimates a fixed-effects model to provide a comprehensive examination of all the distance factors impacting the bilateral cross-border trade flows of India.

The empirical findings in this paper show that different dimensions of the CAGE distances have varied influence on volume of trade flows between India and its trading partners. Also, the extent of this influence is guided by the nature of industries – manufacturing or services.

Departing from the common practice in the literature, using the trade flow data for both Indian manufacturing and service sectors separately, this paper examines to what extent is the impact of these distance factors industry driven.

The purpose of this paper is to investigate how insiders’ trades are executed and whether and how outside investors can mimic outperforming insiders and reap substantial portfolio returns that withstand the erosion from adjustments for both the standard factors and stock characteristics in the asset pricing literature.

The authors design a metric for measuring insiders’ trade execution quality: the trading alpha. The authors run regression analysis to control for trade difficulty, insider reputations and the corporate role ranks of insiders and document the existence of the abnormal trading alpha. The authors further form portfolios based on the abnormal trading alpha and document a significant abnormal return that is robust to both standard asset pricing factors model and the stock characteristics adjustments.

Outperforming insiders at the aggregate level resemble value investors who trade on long-term fundamental information, trade patiently and earn rents from providing liquidity. Outside investors can mimic the outperforming insiders and reap significant abnormal portfolio returns.

Data limitations on insider trades and their association/interaction with their brokers prevent us from having a conclusive investigation of the trading skill hypothesis. The authors hope to further research along the lines of the trading skill hypothesis as compared to investment style hypothesis with more detailed data about the brokers used by insiders.

The findings can be applied for money management profession in that outsider investors can monitor the trading execution and construct portfolios based on the adjusted abnormal trading alpha. The resulting portfolio has been documented to be highly profitable after risk adjustments using standard asset pricing factors as well as stock characteristics.

Professional money managers and outsider investors should be able to benefit from the findings in this paper and use the proposed trading alpha metric to construct and rebalance real-time investment portfolios.

Outperforming insiders at the aggregate level resemble value investors who act on long-term fundamental information, trade patiently and earn rents from providing liquidity. From the perspective of investment implications, outside investors can mimic the outperforming insiders and reap substantial portfolio returns that withstand the erosion from adjustments for both the standard factors and stock characteristics in the asset pricing literature.

Trade and environment are essential issues closely related to the development of the national economy and the improvement of people’s livelihood in the new era. The Report to the 19th National Congress of the Communist Party of China (CPC) listed the construction of a strong trading power as an important part of building a modern economic system and pollution prevention and treatment as one of the three key battles to win the decisive victory of building a moderately prosperous society in all respects. However, the relationship between trade and environmental pollution is still very controversial in the existing literature, and there is a paucity of literature on the relationship between trade and environmental pollution based on micro data.

This paper merged China’s Firm-Level Pollution Database with China’s Industrial Enterprise Database and China’s industry tariff rates. Additionally, by virtue of the quasi-natural experiment of China’s accession to the World Trade Organization (WTO), a difference in difference (DID) model was constructed to alleviate the endogeneity issue.

According to the results, the trade barrier decrease (trade liberalization) significantly reduces the intensity of SO₂ emissions, a major pollutant of enterprises, as the intensity of SO₂ emissions decreased 2.16% for each unit decrease of the trade barrier. The analysis of the mechanisms shows that the SO₂ emission intensity of enterprises is mainly due to the decrease of enterprises’ pollution emission rather than the decrease of output, and the decrease of enterprises’ pollution emission is mainly caused by the enterprises’ cleaner production process rather than the end treatment of pollution emission. The decrease of coal use intensity is an important mechanism of the decrease of SO₂ emission intensity caused by the decrease of trade barriers. Among the technical effects of the change of the trade barrier affecting enterprises’ pollution emission, biased technical change rather than neutral technical change dominates.

The findings of this paper imply that expanding openness can enhance China’s social welfare not only through the economic growth mechanisms identified in the classical literature, but also through environmental improvements. This provides useful policy insights for promoting the construction of a strong trading power and winning the battle against pollution in the new era.

The purpose of this study is to integrate divergent discussions located within the marketing, economic geography and economic sociology literature about trade fairs and their functions, around an exchange-based view of trade fairs.

Following an integrative review approach and drawing on thematic discussions found in social exchange theory, a large corpus of research articles on trade fairs was systematically reviewed and integrated.

Trade fairs facilitate five major exchange functions: transactional, informational, social, symbolic and cultural. Each of these functions is characterized by a distinctive combination of exchange structures, exchange rules, exchange resources and organizational outcomes.

The study offers practical guidelines regarding how exhibitors, visitors and organizers can develop and benefit from an exchange-based view of trade fairs.

The current study integrates three divergent literature streams into an exchange-based view of trade fairs. In so doing, the study offers a common conceptual foundation upon which future trade fair research can intersect and cross-fertilize.