Jennifer Morton, Russell Sacks, Jenny Ding Jordan, Steven Blau, P. Sean Kelly, Taylor Pugliese, Andrew Lewis and Caitlin Hutchinson Maddox
This article provides a resource for traders and other market participants by providing an overview of certain automatic circuit breaker mechanisms and discretionary powers that…
Abstract
Purpose
This article provides a resource for traders and other market participants by providing an overview of certain automatic circuit breaker mechanisms and discretionary powers that the U.S. Securities and Exchange Commission (SEC), Financial Industry Regulatory Authority (FINRA) and the U.S. president, as applicable, can exercise to pause or stop the trading of individual securities or trading activities across exchanges during extreme market volatility, each of which can cause interruptions to trading activity.
Design/methodology/approach
This article surveys automatic and discretionary mechanisms to halt trading activity under extreme market conditions. In particular, the article examines automatic cross-market circuit breakers, limit up-limit down pauses, the alternative uptick rule, as well as discretionary authority to stop short selling of particular securities and to stop trading across exchanges.
Findings
The article concludes that market participants must be cognizant not only of automatic cross-market circuit breakers, but also several other forms of potential market disruptions that may occur due to increased market volatility during the COVID-19 pandemic and beyond.
Originality/value
By exploring various mechanisms that respond to market disruption, this article provides a valuable resource for traders and other market participants looking to identify and respond to potential interruptions to their trading activity.
Details
Keywords
Amir Zaib Abbasi, Muhammad Asif, Linda D. Hollebeek, Jamid Ul Islam, Ding Hooi Ting and Umair Rehman
This study aims to propose a model for predicting consumers’ esports videogame engagement on their ensuing consumption behaviors, which remains nebulous to date.
Abstract
Purpose
This study aims to propose a model for predicting consumers’ esports videogame engagement on their ensuing consumption behaviors, which remains nebulous to date.
Design/methodology/approach
After approaching esports consumers in different gaming zones in Pakistan, this paper collected data from 364 videogame-based esports consumers. This paper deployed SmartPLS 3.2.8 software to perform the partial least squares-structural equation modeling-based analyzes.
Findings
The structural model results show that consumers’ affective and behavioral esports videogame engagement positively affects their consumption behavior, including heightened community engagement, purchase intent, coproduction, word-of-mouth and new player recruitment. However, while consumers’ cognitive esports engagement was found to positively impact community engagement, new player recruitment and coproduction, it failed to predict consumers’ esports-related purchase intent or word-of-mouth behaviors.
Practical implications
The findings reveal that a strategic focus on consumers’ esports game engagement will enable practitioners to nurture desirable consumer behaviors, including enhanced purchase intent, coproduction, word-of-mouth and new player recruitment behaviors, thus warranting consumer engagement’s strategic value as a key esports gaming metric.
Originality/value
Empirical research into the role of consumers’ esports videogame engagement on their ensuing consumption behaviors remains scant to date. Based on this gap, this study offers a timely contribution by exploring and validating a model that gauges the effect of consumers’ cognitive, emotional and behavioral esports videogame engagement on their community engagement, purchase intention, coproduction, word-of-mouth and new player recruitment. It, thus, offers important insight into the rapidly advancing field of digital esports games.
Details
Keywords
Ian G. Cook and Paresh Wankhade
Although the concept of social capital is rightly associated with Putnam (2000), arguably its roots lie further back in the nineteenth century, but were first articulated in a…
Abstract
Although the concept of social capital is rightly associated with Putnam (2000), arguably its roots lie further back in the nineteenth century, but were first articulated in a “contemporary sense” in 1916 (Organisation for Economic Co-operation and Development (OECD), 2001, p. 41). The authors begin their analysis by summarizing the main types of capital: economic, social, political, human, cultural and symbolic, before exploring the different types of social capital, including bonding, bridging and linking. These are then linked to a variety of related concepts, including: social enterprise, social networks, social value, community development, community resilience and sociability (Cook, Halsall, & Wankhade, 2015). It is argued that social capital is central to these, and is of increasing importance across the globe within the context of the threats and opportunities posed by globalization on the one hand (including the spread of COVID-19) and of potential deglobalization on the other, in part as a reaction to COVID-19 and pre-existing nationalist trends toward limitation of global interactions. The discussion is supported by examination of a range of case studies drawn from societies of contrasting types, including the UK, USA, China, Bangladesh and South Africa. The authors conclude their analysis via consideration of how social capital can be expanded further in order to help meet contemporary and future challenges from whichever direction it arises.
Details
Keywords
Engaged employees assure organizational competitiveness and sustainability. The purpose of this study is to explore the relationship between job resources and employee turnover…
Abstract
Purpose
Engaged employees assure organizational competitiveness and sustainability. The purpose of this study is to explore the relationship between job resources and employee turnover intentions, with employee engagement as a mediating variable.
Design/methodology/approach
Data were collected from 934 employees of eight wholly-owned pharmaceutical industries. The proposed model and hypotheses were evaluated using structural equation modeling. Construct reliability and validity was established through confirmatory factor analysis.
Findings
Data supported the hypothesized relationship. The results show that job autonomy and employee engagement were significantly associated. Supervisory support and employee engagement were significantly associated. However, performance feedback and employee engagement were nonsignificantly associated. Employee engagement had a significant influence on employee turnover intentions. The results further show that employee engagement mediates the association between job resources and employee turnover intentions.
Research limitations/implications
The generalizability of the findings will be constrained due to the research’s pharmaceutical industry focus and cross-sectional data.
Practical implications
The study’s findings will serve as valuable pointers for stakeholders and decision-makers in the pharmacuetical industry to develop a proactive and well-articulated employee engagement intervention to ensure organizational effectiveness, innovativeness and competitiveness.
Originality/value
By empirically demonstrating that employee engagement mediates the nexus of job resources and employee turnover intentions, the study adds to the corpus of literature.
Details
Keywords
Balagopal Gopalakrishnan, Aravind Sampath and Jagriti Srivastava
In this study, we examine whether work from home (WFH) had an impact on firm productivity during the COVID-19 period.
Abstract
Purpose
In this study, we examine whether work from home (WFH) had an impact on firm productivity during the COVID-19 period.
Design/methodology/approach
We employ a panel fixed-effect model using 79,201 firm-quarter observations in a cross-country setting of 68 countries.
Findings
First, we find that firms that employed WFH contributed to real sector growth during the pandemic due to greater capital expenditure compared to otherwise. Second, we find that WFH amenable firms turned over assets better than less WFH amenable firms.
Originality/value
To the best of our knowledge, this is the first study to examine the impact of WFH on firms’ investment and efficiency using a cross-country setting.
Details
Keywords
Nese Colakoglu, Mehmet Eryilmaz and Jennifer Martínez-Ferrero
This study aims to understand whether board diversity has a direct effect on “corporate social responsibility (CSR)” performance of companies or not. In addition, this study also…
Abstract
Purpose
This study aims to understand whether board diversity has a direct effect on “corporate social responsibility (CSR)” performance of companies or not. In addition, this study also aims to examine the moderation effect of age and education level of female board members on the relationship between board gender diversity and CSR performance.
Design/methodology/approach
A “corporate social performance (CSP)” measurement instrument was designed to conduct a content analysis that analyzes the CSR disclosure in the annual reports of Turkish companies listed on the “500 biggest Turkish companies” report of “Istanbul Chamber of Industry (ISO)” in 2015. The data coming from content analysis of 117 company reports were analyzed by using hierarchical regression analysis.
Findings
Despite of supporting the increase in CSR performance when there is a greater presence of independent board members in an organization, evidence supports that ratios of female and foreign board members do not have any significant effect on CSR performance.
Originality/value
The study contributes to previous literature on board diversity and CSR performance as follows. First, this paper contributes to previous literature by examining and testing independent, female and foreign board members as a new antecedent of CSR performance in research on Turkey; second, by examining a sample of the “500 biggest Turkish companies” and providing some tips about both Turkey and other developing countries; third, by reopening the debate about the positive impact of a greater presence of independent directors on board on CSR performance and the non-effect of female and foreign board members. Finally, it also offers a partially new CSP measurement instrument based on content analysis.
Details
Keywords
Yuyan Luo, Tao Tong, Xiaoxu Zhang, Zheng Yang and Ling Li
In the era of information overload, the density of tourism information and the increasingly sophisticated information needs of consumers have created information confusion for…
Abstract
Purpose
In the era of information overload, the density of tourism information and the increasingly sophisticated information needs of consumers have created information confusion for tourists and scenic-area managers. The study aims to help scenic-area managers determine the strengths and weaknesses in the development process of scenic areas and to solve the practical problem of tourists' difficulty in quickly and accurately obtaining the destination image of a scenic area and finding a scenic area that meets their needs.
Design/methodology/approach
The study uses a variety of machine learning methods, namely, the latent Dirichlet allocation (LDA) theme extraction model, term frequency-inverse document frequency (TF-IDF) weighting method and sentiment analysis. This work also incorporates probabilistic hesitant fuzzy algorithm (PHFA) in multi-attribute decision-making to form an enhanced tourism destination image mining and analysis model based on visitor expression information. The model is intended to help managers and visitors identify the strengths and weaknesses in the development of scenic areas. Jiuzhaigou is used as an example for empirical analysis.
Findings
In the study, a complete model for the mining analysis of tourism destination image was constructed, and 24,222 online reviews on Jiuzhaigou, China were analyzed in text. The results revealed a total of 10 attributes and 100 attribute elements. From the identified attributes, three negative attributes were identified, namely, crowdedness, tourism cost and accommodation environment. The study provides suggestions for tourists to select attractions and offers recommendations and improvement measures for Jiuzhaigou in terms of crowd control and post-disaster reconstruction.
Originality/value
Previous research in this area has used small sample data for qualitative analysis. Thus, the current study fills this gap in the literature by proposing a machine learning method that incorporates PHFA through the combination of the ideas of management and multi-attribute decision theory. In addition, the study considers visitors' emotions and thematic preferences from the perspective of their expressed information, based on which the tourism destination image is analyzed. Optimization strategies are provided to help managers of scenic spots in their decision-making.
Details
Keywords
Yahya Mohammed Al-Sayani, Ebrahim Mohammed Al-Matari, Mohamad Naimi Mohamad Nor, Noor Afza Amran and Mohammed Ahmed Alsayani
The purpose of this study is to look at the structure of the interactions between the board of directors’ chairman qualities such as chairman independence, tenure, ethnicity, age…
Abstract
Purpose
The purpose of this study is to look at the structure of the interactions between the board of directors’ chairman qualities such as chairman independence, tenure, ethnicity, age- and impression management (IM).
Design/methodology/approach
The research population consists of non-financial Malaysian companies listed on Bursa Malaysia’s Main Market, using data gathered via annual reports and DataStream. The study relies on the ordinary least square regression to test the direct relationships between the directors’ chairman characteristics and IM. Moreover, robustness and sensitivity tests were used to examine the effectiveness of chairman characteristics with IM. Furthermore, the results rely on the FGLS regression as an additional test. The study found that chairman independence, chairman ethnicity and chairman age have a significant impact on IM.
Findings
The results reveal that chairman independence has a negative association with qualitative IM (IMSC1). Moreover, chairman ethnicity has a positively significant relationship with qualitative IM (IMSC1) and quantitative IM (IMSC2). Also, the effectiveness of chairman characteristics has a negative and significant association with IMSC1.
Originality/value
The primary goal of this paper is to fill a gap in the literature and to open up opportunities for more in-depth research on the subject. So far, there has been no research into the impact of the board chairman’s (BC) personality on IM. This study serves as a warning to policymakers, businesses and their stakeholders, as well as researchers, about the importance of BC characteristics, which may impede the effectiveness of corporate governance mechanisms. The paper provides a framework for investigating these characteristics in the context of IM.
Details
Keywords
Irfan Irfan, Alan Kai Ming Au, Faisal Khurshid and Felix T.S. Chan
Drawing on organizational learning and dynamic capabilities literature, this study aims to explore how suppliers from traditional emerging economies (STEE) can acquire, assimilate…
Abstract
Purpose
Drawing on organizational learning and dynamic capabilities literature, this study aims to explore how suppliers from traditional emerging economies (STEE) can acquire, assimilate and use new knowledge essential for the development of production and marketing capabilities. These capabilities then facilitate suppliers in climbing the value chain from B-to-B to B-to-C.
Design/methodology/approach
The study adopted a longitudinal and multiple case study design to examine the practices of suppliers operating in a traditional emerging economy setting. This study selected Pakistan textile industry as an empirical setting, which is a predominantly supplier market for global buyers. Data sources entail semi-structured interviews with top executives and senior-level managers in four case firms and secondary data obtained from diverse sources.
Findings
The study identified transitionary phases of capabilities development that are facilitated by boundary-spanning knowledge acquisition and transformation in a dynamic manner. These capabilities are essential for a supplier’s entry into downstream international markets (i.e. launching its own products/brands in the end consumers’ market).
Practical implications
The findings could help managers in STEEs to understand the strategic importance of supply chain ties in their learning and capabilities development. It also provides strategic insights on what, how and why involved parties do engage over an extended period of time. Moreover, the findings of this study could help other firms to know and adopt the right type of technology(s) and systems that can help them reduce the technological gap in producing and marketing market-winning products.
Originality/value
This study advances the recent academic discussion that focusses on learning by supplying and the value-chain movement of suppliers (i.e. B-to-C) from their B-to-B engagements. The findings identified the vital and beneficial role of long-term relationships with global value chain partners in learning and capabilities development that led to value creation in the traditional emerging economy.