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The purpose of this study is to investigate the initial investment's motivations and study the reinvesting motivations. The results revealed differences in reinvestors' motivations of reinvestors in both winning and losing situations. Specifically, financial return and excitement motives were supported for win and loss situations, while recognition was supported for loss and pleasure in win situations.

The impact of intrinsic and extrinsic motivations on reinvestors was tested using the structural equation model. Furthermore, the framework was analysed with survey data from a total of 355 digital workers from Amazon Mechanical Turk, one of the world's largest crowdsourcing platforms.

The results indicate that there are differences in the motivations for reinvestors when they are in both winning and losing situations. Financial return and excitement motives were supported for win and loss situation, while recognition was supported in loss and pleasure in win situation.

This study makes it possible to better understand the motivations behind crowdfunding reinvestment among digital workers. To build on this work, more studies should be conducted with different samples to test the generalisability of these results. Moreover, future studies on different samples could determine whether the same motivations would hold for other investors or whether another motivation would have greater impact on these reinvestment decisions.

While previous research on equity crowdfunding has predominantly focused on intrinsic and extrinsic motivations for participating and investing in equity crowdfunding platforms, the motives that specifically affect winning or losing situations for reinvestors have been largely overlooked.

The aim of this paper is to explore the importance of individual learner differences and the effect differentiated instruction (DI) has on learners' levels of engagement.

The author carried out this research using a small-scale action research (AR) study.

The findings suggest that in acknowledging and responding to individual learner differences, especially interests, levels of learner engagement are positively affected.

This study’s key limitations were sample size, short-term study and potential teacher as researcher bias.

Recommendations were made for a further longitudinal study into the relationship between DI and language learner levels of engagement at University. An additional study into DI that looksbeyond language learning at HE, could add value to pedagogic approaches, which could make courses of greater intrinsic value to its students.

This research study aims to help fill a gap in the literature on the application of DI, as well as a unique perspective into its effect on learner engagement within a university context.

In earlier studies, research has shown that EI is the only element, which influences the ways in which people develop in their lives, jobs and social skills control their emotions and get along with other people. It is EI that dictates the way people deal with one another and understand emotions. The research gap is to explore the impact of behavioral factors and investors psychology on their investment decision-making.

The information was gathered from 500 financial specialists. The region of research was the financial specialists who contribute through LSC Securities Ltd. in Punjab State. The purposive testing system was used in this examination.

The investigation found that the positive connection between the conduct predispositions of the financial specialists and venture choices of the speculators and positive connection between enthusiastic insight of the financial specialists and their venture choices. Yet, the authors found that the enthusiastic insight better foresees the venture choices of the financial specialists than the conduct predispositions of the speculators. Among the different elements of conduct inclinations of the speculator’s lament and carelessness are identified with the financial specialist’s venture choices. Among the various estimations of eager understanding – care, dealing with emotions, motivation, empathy and social aptitudes are related to the hypothesis decisions of the monetary pros.

The sample selection was based on purposive sampling, rather than a random probability sample. The sample was area specific, restricted only to Ludhiana Stock Exchange in Punjab state. Therefore, the results of the study cannot be generalized with certainty to all the investors investing through other exchanges in other states. The inferences are based on the assumption that the data provided by the investors are true and correct. The findings may be relevant for other stock exchanges as that of the Ludhiana Stock Exchange. However, the authors do not claim the generalization of the results.

This study also helps to understand the relationship between investment decision-making and risk tolerance of investors. It will helpful for the financial advisors to know the behavioral biases of investors while making an investment decision, and therefore, they can advise investors properly to mitigate such biases. It may help the investors in understanding the subjective part of their behavior and control their emotions while taking decisions for their investment in stock market options.

This research will help investment advisors and finance professionals to judge investors’ attitudes toward risk in a better way, which leads to better investment decisions.

This study is my own study and it is original and has not been published anywhere.

The current research takes a closer look at the investment intention of Generation Z and its relation to investing in a speculative market. The study applies the theory of planned behaviour (TPB) to understand the dominant factors leading to Generation Z investment decisions in speculative markets. The main objective is to identify whether these decisions are learnt decisions or herd behaviours.

Structural equation modelling is used to evaluate the research model, and examine the mediation effect of financial literacy using bootstrapping in AMOS software. Information was gathered from 271 students studying at the University of Technology and Applied Sciences. The questionnaire used for the survey was adapted from previous related studies examining the TPB.

The findings show financial literacy and behavioural outcome (attitude) are key components associated with investment intention. Motivation to comply (subjective norm) affects the intention to invest if mediated by financial literacy. The subjective norm has no bearing on the intention to invest in a speculative market. This implies social peers have no bearing on their intention to invest unless mediated by financial literacy.

The main limitation of the study is that the group from which the sample is drawn consists of all students at a state-funded university who receive stipends. This limits the applicability of related findings. Furthermore, the variables have dynamic properties, which implies their impacts may vary over time.

Generation Z comprises a large number of small investors who can make a significant difference to the overall economic trends of the country. The digital world, which is time- and space-infinite, is shaping the next generation. It is only possible to reach and sway their opinions by conducting extensive behavioural science research.

Academic institutions ought to be viewed as a resource for conducting additional in-depth research on a variety of subjects to assist and shape the current generation for a better future.

Although the TPB has been used by many researchers to explore the behavioural intention of Generation Z, very few have used financial literacy as a perceived behaviour control to study its direct and indirect effects on behaviour intention.

This paper aims to empirically describe the general characteristics and the investment behavior of high-net-worth individuals (HNWIs) who pursue impact investing.

Data was collected from members of a global impact investor network, using an online questionnaire, a portfolio-data collection tool and semi-structured interviews.

Wealthy private impact investors are largely similar in terms of their general characteristics and investment behavior, but they diverge in their interest in specific Sustainable Development Goals (SDGs). They tend to be strongly values-driven and to adopt an investment time horizon of 7+ years for their impact investments, which they expect to yield financial returns that are no different from those of traditional investments. Interestingly, these investors perceive the well-established sustainable investing strategies of exclusion, environmental, social and governance (ESG) integration and best-in-class as not having high impact-generating potential.

Suggestions are provided about how wealthy private investors could use the findings to improve their impact investment decisions. Advice is offered to investment professionals on how to optimize impact investment products and services for this economically and societally highly relevant target group.

To the best of the authors’ knowledge, this is the first scientific study to investigate the general characteristics and investment behavior of HNWIs who pursue impact investing. HNWIs have great relevance for financial markets yet they are out of reach for most researchers. As a result, they are poorly understood, and apparently also often misunderstood, which has substantial economic and social implications that this paper helps mitigate.

The purpose of this study is to validate multiplicative cycle that exists between the job readiness and satisfaction model explored by Matthews et al. (2018), the satisfaction and performance paradigmatic nuances analyzed by Judge et al. (2001) and Gu and Chi (2009), in addition to the expectancy model theorized by Vroom (1964). The motivation to transfer learning serves as a conveyable variable transmitted within a learning continuum that sustains cyclical outputs.

An archetype to explore the connection between the three hypothesized theories is created through a neural network program. Exploring this connection develops deeper understandings of the derivatives of employee motivation as it pertains to its effect on readiness, satisfaction, performance and achievement dyads. A detailed analysis of the literature leads to the hypothesis that the motivation to transfer learning creates a multiplicative effect among hypothesized relationships.

The neural network program scaffolds the proposed general belief that positive effects of transfer motives cause a cyclical effect that continues to perpetuate among hypothesized dyads. Conversely, if this motivation decreases or ceases among one or more dyads, the cyclical effect will retract and, eventually stop.

Based on the neurologic outcome, one central theme emerged: managers must offer opportunities to acquire knowledge through assistive mechanisms (i.e. training) by providing external stability through controlled channels that activates the motivation to transfer learning into new opportunities. The transference of this knowledge produces reconstructive growth opportunities through continuous learning thus increasing performance.

本研究的目的、除了驗證弗魯姆 (Vroom) (1964) 建立的「期望模型」理論外，也去驗證存在於工作準備就緒與馬修斯等人 (Matthews et al.) (2018) 所探索的滿足感模型之間的倍增週期，及質治等人 (Judge et al.) (2001) 和古與池 (Gu & Chi) (2009) 所分析的滿足感及表現之範式細微差別。學習轉移的動機作為一個被傳送至學習漸變體內的可輸送變量而運作，而這個學習漸變體是會維持週期性的輸出的。

透過神經網絡程序，創造一個用以探索這三個假設性理論之間的關係的原型。探究這些關係，會使我們更能深入了解僱員動機的衍生品，因這涉及僱員動機對準備就緒、滿足感、表現及功績二元體的影響。仔細分析文獻帶出了一個假設，就是: 學習轉移的動機會在各假設的關係裏創造一個倍增的效果。

這個神經網絡程序續步闡釋了一個被倡議的普遍觀念，那就是轉移動機的正面影響會帶來一個在假設性的二元體中會繼續持續下去的週期性效應。相反地，如果這動機在一個或多個二元體中減弱或停止，這週期性效應將會撤回及最終停止。

基於神經病學的結果，一個核心主題浮現了， 就是：管理人員必須提供透過輔助機制 (就是說：培訓) 而獲取知識的機會。方法是給會引發把學習轉為新機會的動機之受控渠道、提供外在穩定性。這知識的轉移，透過不斷學習而創造重建的成長，表現因而得以提升。

The Government of Korea institutionalized the World Korean Business Convention (WKBC) and the World Korean Business Network (WKBN) to promote Korean diaspora entrepreneurs’ investment in the homeland. Few studies have examined the effectiveness of the WKBC and WKBN and the critical variables affecting them. This paper aims to fill this gap by exploring important variables affecting Korean diaspora entrepreneurs’ investment in the homeland. It also seeks to examine the relationships among these variables to inquire upon a set of critical questions pertaining to Korean diaspora entrepreneurs’ investment in the homeland including the effectiveness of the WKBC and WKBN.

To achieve the above purpose, critical variables influencing Korean diaspora entrepreneurs’ investment in the homeland were identified and four hypotheses that include the inquiries pertaining to the effectiveness of the WKBC and WKBN were developed in terms of those variables. The hypotheses were empirically tested using the survey data gathered from the participants of the annual WKBC.

The current research found that Korean diaspora entrepreneurs’ evaluation of the investment climate in the homeland was not favorable. The WKBC was positively evaluated by Korean diaspora entrepreneurs willing to make investment, There is discrepancy between expectations of the WKBN’s target group (i.e. Korean diaspora entrepreneurs willing to make investment) and its performance for the group, and there is a difference between ascending and descending Korean diaspora entrepreneurs in assessment of investment value of the homeland.

A majority of studies on diaspora entrepreneurship and development have so far cast light on ascending diaspora entrepreneurs while neglecting descending diaspora entrepreneurs. In this regard, the most interesting finding of the current study to both researchers and policymakers may be the fact that descending Korean diaspora entrepreneurs assess the investment value of the homeland differently from ascending Korea diaspora entrepreneurs. The finding calls for further research on causes of the difference, and different natures of descending diaspora entrepreneurs compared to those of ascending diaspora entrepreneurs. Such research will enable policymakers to formulate and implement effective strategic diaspora policies that take the differences into consideration.

This study aims to analyse the efficiency effects of institutional distance on Chinese outward foreign direct investment (FDI) in Africa.

The study utilised the true fixed-effect stochastic frontier analysis (SFA) model. Data from 2003 to 2016 (14 years) were acquired from 42 targeted African countries, which are included in the analysis.

The results reveal that FDI flow efficiency can be maximised with a high institutional distance between China and African countries. Contrariwise, comparable institutional distance, measured by the rule of law, regulatory quality and government effectiveness between the host and home countries, reflected a significant positive impact for Chinese outward foreign direct investment (OFDIs), indicating Chinese MNEs can invest directly in a country with comparable institutional characteristics.

There have been limited exceptional studies that assessed the effect of institutional distance between emerging countries. However, none of these studies investigated the effect of institutional distance between China and Africa at a national level. Using the advantage of the SFA model, this study assesses the efficiency effects of institutional distance between the host and home country.

Currently, China’s economy is in the critical phase of transforming economic development patterns and replacing old growth drivers with new ones. Whether it can successfully overcome the “middle-income trap” has become a significant issue attracting wide attention.

Driven by underlying digital technologies such as artificial intelligence, blockchain, cloud computing and big data, the fourth industrial revolution featuring the booming digital economy has provided significant opportunities for China’s economy to “overtake” and overcome the “middle-income trap”. The transformation of economic development pattern, the optimization of industrial structure, and the change of growth drivers, brought by the deep integration of digital and real economies are the keys to leaping over the “middle-income trap”.

From the supply side, the digital economy can improve the quality and efficiency of the supply side and promote the supply-side structural reform and economic growth from the following three aspects: First, promote the quality, efficiency and diversification of the supply system; second, promote networking, opening-up and synergy in the innovation system and third, promote the socialization, modularization and flexibility of production pattern. From the demand side, the digital economy can boost the new drivers of the “troika” of economic growth consisting of consumption, exports and investment by changing the market investment direction, promoting consumption upgrade and fostering export strengths. However, once these two attributes interact with each other, especially when data is combined with capital, the most adhesive factor in the market economy, a series of new social relations will then be produced based on the technical attribute, resulting in significant adjustments in social relations, involving both positive and negative externalities.

To overcome the “middle-income trap”, it is necessary to adapt to the laws of economic evolution and promote a fundamental change in economic growth drivers; boost the high-quality development of the digital economy by strengthening the support role of data in the digital economy; and accelerate digital industrialization and industrial digitalization to realize the integration of digital and real economies.