Understanding Inter-Relational Dynamics of Different Factors Impacting the Cymbidium Orchids-Based Economy in Sikkim, India Using DEMATAL

Floriculture based economy is slowly increasing throughout the world. Orchids, which were once found only in the wild are now being widely cultivated and being sold in the market. In this chapter, an attempt has been made to understand the inter-relational dynamics of different factors impacting the cymbidium orchids-based economy in Sikkim, India using DEMATAL. A total of 14 factors were identified in this regard and based on expert opinion, these factors were rated and analysed using DEMATAL. The cause and effect relationship of the different factors was established in the process. It was found that policy, technology, e-commerce, floricultural parks, certification and infrastructure are the causes while cold chain, quality, pricing, promotion, market development, product development, entrepreneurs, and farming are the effects.

Is Construction of Timber Focused Exchange Traded Fund Plausible in SAARC Countries With Reference to India?

Given the fact that timber is neither traded as commodity nor is any timber-focused exchange-traded fund (ETF) available in the SAARC countries, the objectives of this chapter are to examine the plausibility of making use of the wood resources of SAARC countries in the form of ETFs, e.g. timber-focused ETF, the nature of the legal and policy frames in these countries as implemented in timber business with reference to their suitability for opening ways to construction of timber-focused ETF and the theoretical plausibility of constructing a timber-focused ETF with reference to India. It is found that in comparison with other SAARC countries, India has developed timber-based industries whose stocks are traded in the bourses and amenable to analysis for ETF construction purposes. While Bangladesh, Pakistan, Sri Lanka, and Nepal have certain legal and institutional artifacts for preservation and maintenance of forests toward gradual but by-and-large unplanned industrialization of the timber industry, Maldives and Bhutan have hardly any.

Employee Experience Design

The philosophy of employee experience has been advocated as an effective tool to achieve the highest level of employee engagement in a business environment characterized by increased dynamism in workforce demography, psychography, competencies, and expectations. Employee experience encapsulates the overall journey of an employee in an organization from hire to exit, encompassing their experiences, what they feel, do, and achieve from the company. It is a comprehensive view of the relationship shared and experienced between the individual and the organization right from the application stage to stage they join the alumni group after their exit. The chapter explores this new philosophy in current human capital management practices that aims at revamping the HR practices and policies so as to create an experience that provides the highest level of engagement. Based on content analysis qualitative survey of various HR managers, opinions and new age thoughts in HRM practices has been highlighted in this chapter, giving an innovative dimension to HRM.

The Role Of Strategic Orientation In Export Performance Of China Automobile Industry

During the last four years, the China automobile industry experienced a 49% drop in sales in the domestic and international markets. Company owners and the Government of China are exploring factors which could help them overcome the issues relating to sale, reputation, and brand image. Nonetheless, the investigation of company export performance factors in the automobile sector of China has largely been ignored. However, authors of this chapter conducted a literature review on factors of firm export performance. Therefore, the conceptual framework has found the factors of firm export performance such as total quality management (TQM), entrepreneurial orientation (EO), export market orientation (EMO), and brand orientation (BO) based on resource-based theory. This research believes that the proposed factors can increase the firm export performance of China automobile industry. The future studies should validate the proposed research framework empirically in the context of the Chinese automobile industry.

The Role of Digital Economies in the Development and Growth in Asian Business Models

This chapter discusses the development of information and communication technology across Asian economies. Digital technology is the presentation of information in bits that emphasize digital technology which covers all business, financial, social, and cultural events that are supported by the web and other digital communication technologies. Technology has minimized the cost of storage, and flow of information. In the last 15 years, digital technology has affected human lives and the chapter examines how digital technology changes economic activity. There are three principal segments: e-business, e-business framework, and e-commerce. The digital economy is known as the web economy because of its dependence on the network. Modern technologies, cloud computing, mobile app, and social media influence the business landscape, reshaping the idea of work, boundaries of enterprises, and the obligations of business pioneers. Thus, the digital economy features the opportunity for organizations and people to execute existing tasks on the PC more frequently than before.

Social Media and Increased Venture Creation Tendency With Innovative Ideas

The purpose of this chapter is to ascertain the contemporary role of social media in increased venture creation tendency along with innovative ideas. The key objective of this study is to discover the tendency of female students' innovativeness in venture creation in China. A random sampling method was used to conduct a survey in different universities in China to identify the scenario of innovativeness in venture creation. Findings from primary data collection indicated that the female students in China are highly involved with social media marketing with innovative ideas. As a result, apart from traditional marketing, society is involved with contemporary marketing where innovativeness with social media and smartphones are the key factors. Innovative ideas in venture creation may generate additional earning for people with low income in society. Future studies with mixed methodology and respondents who use different social media as a tool to innovate new venture may shed light on the undiscovered phenomenon of social media marketing in the context of the mobile phone.

Reverse Mentoring the Editing Edge in Management 4.0

Industry 4.0 is based on the implementation of a cyber-physical system, which includes sensors, networks, computers, offering digital enhancement and well-coordinated activities. This would create a great pool of all the workforce generations, having diverse experience, agility, and different modes of working. Millennials would add more of machine learning and Generation X and Y would be the richest source of tacit and operational knowledge. Together, they would develop solutions for catering complex and networked production and aggressive logistic management, meeting the challenges of the Industry 4.0. However, the benefits of digitization and automation can be achieved, if the different generations of workforce collaborate, cooperate, and postulate together in all the business processes. Reverse mentoring is a pristine concept and ingenious method to empower learning and encourage cross-generational connections. This chapter would elaborate on the advantage of reverse mentoring in crafting Industry 4.0 more acrobatic and quick-moving.

Disruption in HR Through Inclusive Emotional Culture

Diversity in workforce has demanded the need to develop inclusive culture that suffices the needs, interests, and emotions of all equally. High-performing organizations have incorporated emotions in their mission, creating an emotional culture that accentuates emotional intelligence of their talent force rather than suppression of emotions. The chapter explains how and why organizational cultures are transforming into inclusive emotional cultures. Through an analysis of cases of Indian multinationals, the antecedents and outcomes of Inclusive emotional culture is described through Inclusive Emotional Culture Framework model. Views of HR managers are expressed through content analysis qualitative technique. The chapter provides a key to sustainable development of Indian businesses amidst the doldrums of global business environment through inclusive emotional culture integrating values of long-term sustenance and development.

An Empirical Note on Health Vulnerability and Health Information Digital Divide

Availability of healthcare information on the Internet has made it possible for patients or their relatives to search for such information. Considering the delicate nature of such information as well as its great need felt by the society, it is important to know who are these people who actively search for online healthcare information and also those who are unable to do so. In all, 754 respondents participated in the survey. The variables selected from literature survey and exploratory study are Health Information Digital Divide, Income, Having E-mail id, access to Internet, geographical location, Education, family-type, age, and gender. As the data is categorical, the significance of difference has been calculated using Chi-square test. Later discriminant analysis was conducted to predict patients who make online health information searches and the ones who do not. Using discriminant analysis, 94.5 percent of patients who make online health information searches could be correctly predicted. Prediction is 99.7% for the patients who do not indulge in online health information search.

Crime Hotspot Prediction Using Big Data in China

This chapter proves that utilizing big data and machine learning to predict crime is feasible in China. Researchers introduce five new machine learning algorithms into the field of crime prediction and compare them with four methods widely used in previous research. Using a weekly dataset in 213 street-level cells of Shanghai from April 2017 to March 2018, the researchers find new methods work better in predicting whether a specific cell will be a crime hotspot in next week. Five among nine methods can predict crime with more than 90 percent accuracy. These findings provide a scientific reference for urban safety protection. The research adds some significant evidence to a theoretical literature emphasizing that big data can predict crime.