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Defines “insider trading” and looks at the effects of insider trading on an economy. Considers the factors which have caused legislation and the rationale behind insider trading. Compares the economic and financial approaches to the problem. Outlines the European, UK and US positions covering legislation, arguments, prohibitions and penalties. Cites important cases in the USA, which have caused changes in the law. Concludes that there is a need for standardization, together with better access to timely information but highlights that the markets require freedom within which to work effectively and accepts that there will always be an element of insider trading in any market.

HRM; recruitment; managing cultural expectations in business; leadership.

Undergraduate management courses; MBA and MSc.

This case focuses on recruitment problems in Europe with an Asian dimension. A young Dutch and a young Chinese graduate are considering a career with postal, courier and logistics firm TNT – what are their concerns as graduating students in looking for a job? From the opposite perspective, the case considers how employers attract graduate recruits. The case encourages students of a wide range of cultural backgrounds to question if they are following their cultural norms, or their own personal needs, regardless of their culture. It introduces students to the concept of perceptions of employer value propositions (EVPs) and how employers can “market” themselves to employees. The case is appropriate for courses in leadership, human resource management, corporate social responsibility (CSR), managing culture, also job hunting and career workshops.

This case is aimed at projecting the importance of career choice criteria from both graduate and employer perspectives. The case examines issues of national culture and associated differences in employee and organizational expectations. The case also examines the role of CSR in attracting employees; and the particular concerns of Generation Y employees.

Teaching note.

This paper aims to examine the internal logical relationship between two intergenerational inheritance ways of passing property rights and residual control rights (RCR) and to construct a conceptual model comprising transfer elements, paths and timing of succession in this process.

Driven by the cases of Haixin, Tianyijiao and Changhe Group, this paper applies research methods of copying and expanding analysis logic, progressive deduction, content analysis and comparative research based on the perspective of HeXie theory to explore the deep interrelation of transfer elements, paths and timing during family business succession.

The findings present that the content of intergenerational inheritance of a family firm is the inheritance of property rights and RCR. First, the inheritance of property rights is a static inheritance of time-point delivery, whereas the inheritance of RCR is a dynamic inheritance process for a period of time. Second, the inheritance of property rights and RCR are not independent; only a “HeXie” succession of both rights can realize a successful inheritance of family firms.

This paper constructs the paths and timing model of intergenerational inheritance of property rights and RCR in family firms. This paper integrates the current literature studies on the family inheritance of property rights and RCR and explains their internal mechanisms. This paper also provides a theoretical foundation and empirical evidence for family business transitions in the business world.

Academic and industrial researches on nanoscale flows and heat transfers are an area of increasing global interest, where fascinating phenomena are always observed, e.g. admirable water or air permeation and remarkable thermal conductivity. The purpose of this paper is to reveal the phenomena by the fractional calculus.

This paper begins with the continuum assumption in conventional theories, and then the fractional Gauss’ divergence theorems are used to derive fractional differential equations in fractal media. Fractional derivatives are introduced heuristically by the variational iteration method, and fractal derivatives are explained geometrically. Some effective analytical approaches to fractional differential equations, e.g. the variational iteration method, the homotopy perturbation method and the fractional complex transform, are outlined and the main solution processes are given.

Heat conduction in silk cocoon and ground water flow are modeled by the local fractional calculus, the solutions can explain well experimental observations.

Particular attention is paid throughout the paper to giving an intuitive grasp for fractional calculus. Most cited references are within last five years, catching the most frontier of the research. Some ideas on this review paper are first appeared.

Based on the theory of social networks, it is crucial to enhance information superiority through joint venture capital (VC). The purpose of this paper is to explore the impacts of different roles’ structural and relational embeddedness on the information superiority of joint VC alliances.

The authors design the multiple linear regression models to investigate the leader’s investment ratio from a network embeddedness perspective. Panel data analysis and robustness tests are adopted based on the data from Chinese VCs Database.

The results show that VC leaders enjoy information search advantages because of their better network positions, while their followers lack this superiority. Information sharing among investors and investees may enhance the influences of structural embeddedness on investors’ information search advantages. Joint VC’s scale and its number of leaders could also increase VC alliances’ information superiority.

This research provides a more holistic understanding of the formation of joint VC alliances’ information superiority from a social network perspective. Both VC managers and social planners can seek guidance from this study to implement better strategies and policies to promote information symmetry in the VC market.

Grey modeling technique is an important element of grey system theory, and academic articles applied to agricultural science research have been published since 1985, proving the broad applicability and effectiveness of the technique from different aspects and providing a new means to solve agricultural science problems. The analysis of the connotation and trend of the application of grey modeling technique in agricultural science research contributes to the enrichment of grey technique and the development of agricultural science in multiple dimensions.

Based on the relevant literature selected from China National Knowledge Infrastructure, the Web of Science, SpiScholar and other databases in the past 37 years (1985–2021), this paper firstly applied the bibliometric method to quantitatively visualize and systematically analyze the trend of publication, productive author, productive institution, and highly cited literature. Then, the literature is combed by the application of different grey modeling techniques in agricultural science research, and the literature research progress is systematically analyzed.

The results show that grey model technology has broad prospects in the field of agricultural science research. Agricultural universities and research institutes are the main research forces in the application of grey model technology in agricultural science research, and have certain inheritance. The application of grey model technology in agricultural science research has wide applicability and precise practicability.

By analyzing and summarizing the application trend of grey model technology in agricultural science research, the research hotspot, research frontier and valuable research directions of grey model technology in agricultural science research can be more clearly grasped.

This paper aims to propose cooperative control strategies for dual-arm robots in different human–robot collaborative tasks in assembly processes. The authors set three different regions where robot performs different collaborative ways: “teleoperate” region, “co-carry” region and “assembly” region. Human holds the “master” arm of dual-arm robot to operate the other “follower” arm by our proposed controller in “teleoperation” region. Limited by the human arm length, “follower” arm is teleoperated by human to carry the distant object. In the “co-carry” region, “master” arm and “follower” arm cooperatively carry the object to the region close to the human. In “assembly” region, “follower” arm is used for fixing the object and “master” arm coupled with human is used for assembly.

A human moving target estimated method is proposed for decreasing efforts for human to move “master” arm, radial basis functions neural networks are used to compensate for uncertainties in dynamics of both arms. Force feedback is designed in “master” arm controller for human to perceive the movement of “follower” arm. Experimental results on Baxter robot platform show the effectiveness of this proposed method.

Experimental results on Baxter robot platform show the effectiveness of our proposed methods. Different human-robot collaborative tasks in assembly processes are performed successfully under our cooperative control strategies for dual-arm robots.

In this paper, cooperative control strategies for dual-arm robots have been proposed in different human–robot collaborative tasks in assembly processes. Three different regions where robot performs different collaborative ways are set: “teleoperation” region, “co-carry” region and “assembly” region.

This study aims to clarify the impact of agriculture–tourism integration (ATI) on in situ urbanization (ISURB) of rural residents, to highlight the role of industrial integration in the process of China's ISURB and to provide industrial integration suggestions for promoting urbanization quality in Chinese counties.

By sorting out the panel data of China's 1868 counties, the evaluation index system of ISURB was constructed. Difference in difference (DID) and spatial Durbin-difference in difference (SDM-DID) model is used for estimate the relationship between ATI and ISURB.

First, ATI can improve ISURB by 11.4% higher than other regions. Second, theoretical analysis model of ATI on ISURB is constructed from four aspects of “drive–push–pull–block.” The results show that ATI can promote ISURB by increasing upgrading of rural industries, rural employment demand and income capacity, whereas ATI may inhibit ISURB by reducing farmland. Third, considering changes in institutional, hard and soft factors, rural collective economy, information infrastructure and digital finance all promote positive impact of ATI on ISURB. Fourth, ATI will produce spillover effects on ISURB in neighboring regions, which is more pronounced in the central and western regions.

This study lacks quantification of ATI, so future studies are encouraged to further quantify ATI at the county level.

This study has policy significance for constructing ATI demonstration counties and promoting ISURB in China's counties.

It is of great practical value to promote China's ISURB. By stimulating ATI, it can improve income and employment capacity of rural residents and stimulate ISURB of China.

This study enriches the theoretical and practical research on industrial integration behaviors during the process of ISURB.

1. Use county data to measure in situ urbanization (ISURB)

2. Agriculture–tourism integration (ATI) can increase ISURB

3. Constructs a “drive-push-pull-block” model to explain the influence mechanism

4. Use spatial Durbin-difference in difference (SDM-DID) models

5. Consider collective economy, rural information infrastructure and digital finance

Use county data to measure in situ urbanization (ISURB)

Agriculture–tourism integration (ATI) can increase ISURB

Constructs a “drive-push-pull-block” model to explain the influence mechanism

Use spatial Durbin-difference in difference (SDM-DID) models

Consider collective economy, rural information infrastructure and digital finance

Economic statecraft is a critical aspect of China’s foreign policy and has played a vital role in China’s relations with its Asian neighbors. The Chinese economic ties with Asia are significant not only because China is the second largest economy in today’s world but also because it has an important impact on regional economic co‐operation and international supply chains. Relentless growth in military buildup and more assertive foreign policy led many pundits to focus almost exclusively on political and military aspects of the Chinese grand strategy in Asia. The purpose of this study is to re‐examine this picture by studying China’s economic statecraft in the region.

This paper will address following research questions: How does the Chinese foreign economic policy serve its political aspirations in East Asia? Why has China increasingly relied on a combination of economic pressures and incentives to achieve its foreign policy objectives? How effective is China’s economic diplomacy as a strategic weapon? What are the limitations of such policy? What challenges does Beijing face in exercising its economic power in East Asia?

Beijing has a comprehensive, long-term grand strategy in Asia, and economic statecraft is a major component of it. Economic statecraft is a double-edged sword. It has given the People’s Republic of China more political influence but frictions and disputes between China and its trading partners are growing as well. Even with the slower growth of the Chinese economy, China will continue to be a game changer for the region. The economic diplomacy has long been part of the foreign policy toolkit used by the People’s Republic of China and will play more important role in the years to come.

Thus far, China’s expanding economic ties with many countries in the world have not generated significant spillover effects. Although China is the dominant economic partner for every country in East Asia, its “soft power” remains to be weak. With the slower growth of the Chinese economy, another looming issue is whether China is going to be able to make a shift away from a trade- and export-led growth model that brought its dramatic economic success. All these could lead China’s economic statecraft less potent. Meanwhile, it should be noted that Asian economies that once relied on the USA are reaching a turning point as China comes to the fore, a trend that may challenge the existing international order. Should this momentum continue, it could alter the balance of power between Washington and Beijing in the region.

For Beijing, economic statecraft concerns both the economic dimension of foreign policy and the strategic dimension of economic policy. Although there is a growing literature on China’s soft power and military capabilities, the study of the economic dimensions of China’s foreign policy remains underdeveloped. With rising confidence and sophistication, Beijing has deployed economic resources to achieve geopolitical aims.

Needless to say, China’s economic statecraft has already triggered heated debate in the United States, Asia and elsewhere in the international community. However, the study of the Chinese economic diplomacy has received relatively little scholarly attention in the English-speaking world. This paper will fill a gap in the analysis and literature.

As academic social Q&A networking websites become more popular, scholars are increasingly using them to meet their information needs by asking academic questions. However, compared with other types of social media, scholars are less active on these sites, resulting in a lower response quantity for some questions. This paper explores the factors that help explain how to ask questions that generate more responses and examines the impact of different disciplines on response quantity.

The study examines 1,968 questions in five disciplines on the academic social Q&A platform ResearchGate Q&A and explores how the linguistic characteristics of these questions affect the number of responses. It uses a range of methods to statistically analyze the relationship between these linguistic characteristics and the number of responses, and conducts comparisons between disciplines.

The findings indicate that some linguistic characteristics, such as sadness, positive emotion and second-person pronouns, have a positive effect on response quantity; conversely, a high level of function words and first-person pronouns has a negative effect. However, the impacts of these linguistic characteristics vary across disciplines.

This study provides support for academic social Q&A platforms to assist scholars in asking richer questions that are likely to generate more answers across disciplines, thereby promoting improved academic communication among scholars.