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The aim of this study is to measure the mediating effect of emotional intelligence on job satisfaction and firm performance of small business and to identify the critical success constructs and significant path of emotional intelligence in relation to job satisfaction and firm performance.

This study provides an analysis of the relevant literature that has been published on the renowned journal of small business. This study’s theoretical framework and constructs were developed based on prior research of emotional intelligence in small business. Along with, data were gathered from 355 respondents, with a valid response rate of 73.95%. This study used the SEM-PLS to measure the validity of the theoretical framework and test the hypothesis.

This study revealed that infrastructure, leadership and management, salary, working hours, working environment and emotional intelligence are very crucial for job satisfaction and firm performance. Emotional intelligence mediated the relationship between five job satisfaction factors (working hours, organizational infrastructure, leadership and management, working environment, salary and other benefits) and firm performance. Thus, this study can contribute to enhancing firm performance and developing a new dimension of small business.

The result of this study will assist the researchers and service providers in understanding the mediating effect of emotional intelligence on job satisfaction and firm performance of small businesses. Thereby, policy formulation in the era of training of employees, leadership and technology-based services orientation will assist to in enhancing opportunities for small businesses and upholding sustainable business.

To the best of the authors’ knowledge, this study is the first to analyze the link of the mediating effect of emotional intelligence on job satisfaction and firm performance of small business.

The purpose of this paper is to present an interview by Strategy & Leadership with Professor Vijay Govindarajan, one of the world's foremost experts on innovation execution and the co‐author of The Other Side of Innovation (2010), which discusses innovating for emerging markets, building the right innovation team, innovation planning as learning, and his newest concept, emotional infrastructure.

Govindarajan explains how companies use the “forget‐borrow‐learn” framework to drive innovation execution. They “forget” the core business success formula, “borrow” key assets from core business, and “learn” to resolve unknowns.

The paper finds that to manage innovation a special plan should be created to guide disciplined experiments for quicker learning. Quicker learning leads to better decisions, and better decisions lead to better results. A special innovation initiative team should also be created: a partnership between a dedicated team (using a mix of insiders and outsiders, with new job descriptions) and shared staff, who support the project while sustaining its performance engine responsibilities.

Do not “isolate” new businesses or “spin them off.” This forfeits the advantage of using existing assets, such as brands, manufacturing facilities, relationships with customers, areas of technical expertise and much more.

Today reverse innovation, taking unique business models from poor countries to rich ones, is a winning formula. But new organizational systems are required so that full business capabilities for reverse innovation in emerging markets – including product development, manufacturing, and marketing – are possible.

The purpose of this study was conducted to investigate the moderating effects wine destination attributes have upon the negative impacts of travel constraints on consumer’s intent to revisit wine regions and also assist wine destinations with the development of marketing strategies designed to offset travel constraints which then could lead to increased intentions to revisit wine regions.

A sampling frame was designed to collect data from consumers visiting 15 wineries using a list of wineries provided by an industry distributor. Self-administered on-site surveys were distributed to visitors during random days and times at each site. To effectively analyze this study’s data set, hierarchical linear models were developed to test our main research question suggesting the significant cross-level effects wine destination attributes (at the regional level) have upon travel constraints in combination with revisit intention (at the individual level).

The negative impact of the “structural” constraints’ dimension on revisit intention is weaker when people are emotionally attracted to a specific wine destination and/or when wine-specific attractions appeal strongly to visitors. Additionally, the negative impact of the “intrapersonal” constraints on “revisit intention” is weaker when positive perceptions about “wine-specific attractions” and/or “tourism infrastructure” attributes are strong.

Results provide strategic directions for wine destination marketing organizations to more accurately improve their destination’s reputation by determining and establishing the most attractive wine-specific attributes as perceived by visitors. Findings also assist these destinations to develop and provide appropriate tourism infrastructure.

This study investigated the effects of wine destination attributes and their attractiveness upon an individual’s travel constraints and revisit intention using a multilevel approach incorporating a regional-based perspective.

This chapter contributes to the field of educational standardisation by critically discussing the recent preoccupation with social and emotional abilities as performance standards in education policies and curriculum. The chapter is philosophical-theoretical in scope and sheds light on standardisation of social and emotional abilities through the different theoretical layers of the Foucauldian notion of governmentality. By bringing the writings of the late Foucault to the fore, I will argue that the power structures imbued in social and emotional standards are not merely oppressive and vertical structures of subjection, but can also be seen as enabling, relational and productive means for subjectivation. Thus, although social and emotional standards certainly can be seen as governmental measures in the production of a flexible, diligent, self-managing workforce, ensuring the kind of transferable non-cognitive skills that are so much needed in the knowledge economy, educators can ambiguously also construct public spaces for political-ethical self-creation and resistance in context of these ‘standards of the self’.

Nowadays, the breakout of the COVID-19 pandemic has caused an important change in teaching models. The emotional experience of this change has an important impact on online teaching. This paper aims to explore its time evolution characteristics and provide reference for the development of online teaching in the post epidemic era.

The article firstly crawls the online teaching-related comment text data on Zhihu platform and performs emotional calculation to obtain a one-dimensional time series of daily average emotional values. Then, by using non-linear time-series analysis, this paper reconstructs the daily average emotion value time series in high-dimensional phase space, calculates the maximum Lyapunov exponent and correlation dimension and finally, explores the feature patterns through recurrence plot and recurrence quantification analysis.

It was found that the sequence has typical non-linear chaotic characteristics; its correlation dimension indicates that it contains obvious fractal characteristics; the public emotional evolution shows a cyclical rise and fall. By text mining and temporal evolution analysis, this paper explores the evolution law over chronically of the daily average emotion value time series, provides feasible strategies to improve students' online learning experience and quality and continuously optimizes this new teaching model in the era of pandemic.

Based on social knowledge sharing platform of Q&A, this paper models and analyzes users interaction data under online teaching-related topics. This paper explores the evolution law over a long time period of the daily average emotion value time series using text mining and temporal evolution analysis. It then offers workable solutions to enhance the quality and experience of students' online learning, and it continuously improves this new teaching model in the age of pandemics.

This introductory chapter introduces standards and standardisation as concepts of outmost relevance to current educational practice and policy across the world, and frames them historically, empirically, as well as theoretically. Furthermore, it gives an overview of how the book is structured and how it can be seen to contribute to the wider field of research in education. The chapter starts by introducing the concepts before it provides the reader with a background description of the broad discursive landscape of policy developments, as painted by educational policy research. Subsequently it describes how standards and standardisation have been theorised within educational research, and concludes with a presentation of the different contributions.

Organisations often collaboratively seek ways such as partnerships, alliances and joint venture (JVs), to bridge gaps in their knowledge and capacity to provide goods or services. Infrastructure projects in Hong Kong often require clusters of resources, knowledge, skills and capabilities that are difficult to obtain in a single provider – it is often problematic for any single organisation to successfully complete these projects using only in‐house resources and knowledge. Thus, providers frequently form JVs and similar forms of relationships to undertake large‐scale infrastructure projects. While one motivation has been to spread financial and other risks, a strong motivation is to better capture learning, so that this hidden and intangible asset may be later applied to improve JV partners’ competitive advantage. Presents results from a pilot study that investigates the nature of the JV relationship, focusing upon the dimension of organisational learning intentions of JV representatives interviewed.

Using the theoretical frameworks of public diplomacy and public relations, we mapped how the Chinese government has used panda imagery to build its national brand on Twitter and how this ‘panda diplomacy’ has facilitated its para-diplomatic actions. Our findings uncover new attempts by the Chinese government to engage in digital diplomacy. Mobilizing panda imagery on Twitter enhanced friendly relations with foreign political leaders and people and established a friendly and peaceful image of China on Twitter.

The purpose of this paper is to explore relationships among three primary variables: sports spectatorship of intercollegiate football, university brand equity and student satisfaction. The primary purpose is to understand the extent to which athletic programs influence campus culture, sense of community and the satisfaction of undergraduate students. A secondary purpose is to probe the factor structure, reliability and validity of a recently developed sports spectatorship scale.

The authors collected data through an online survey of 419 undergraduate students enrolled at three separate Midwestern universities, using previously developed and validated survey scales.

Relationships between brand equity and student satisfaction suggest that athletic programs provide a benefit to universities by improving students’ psychological sense of community and emotional connection to the institution. Furthermore, correlations between sports spectatorship and brand equity measures suggest an internal advertising effect.

The results contribute to the understanding of the role of intercollegiate athletic programs, in this case from the perspective of enrolled undergraduate students. Additionally, the findings recommend ways that universities might maximize some of the benefits by emphasizing the emotional connection of the student body to the teams. The paper also contributes to the validation of the sports spectatorship scale as a tool for further research.