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Examining the Impact of Cognitive-Behavioral Therapy-Based Counseling on Female Infertility

Examining the Impact of Cognitive-Behavioral Therapy-Based Counseling on Female Infertility

Indhira Garcia

Suny Downstate Medical Center

Midwifery Education Program

NRMW 5401: RESEARCH I

Examining the Impact of Cognitive-Behavioral Therapy-Based Counseling on Female Infertility

Introduction

Infertility is a significant health issue affecting millions of people worldwide (Rooney & Domar, 2018). According to Hajela et al. (2016), the global estimate of infertile couples ranges from 8-12%, with 3-5% of this population accounting for couples with unexplained infertility. As of 2016, approximately 60-80 million couples were suffering from infertility (Hajela et al., 2016). Infertile patients of the reproductive age group experience substantial emotional turmoil and an increased risk of distress, depression, and anxiety disorders (Hajela et al., 2016; Khodakarami et al., 2020; Simionescu et al., 2021; Rooney & Domar, 2018). Typical responses to infertility include anger and frustration, sadness, loss of self-esteem, depression, and loss of sense of control (Simionescu et al., 2021). Hajela et al. (2016) reveal that a higher stress level among infertile couples is seen in females compared to their male counterparts, which further endangers their mental well-being.

Research reveals that psychological distress negatively impacts the infertility treatment process (Hajela et al., 2016). Therefore, to deal with infertility, which is a major health issue of concern, there is a need to reduce stress among infertile people of the reproductive age group, especially the female partners who are most affected. Cognitive-Behavioral Therapy-Based (CBT) counseling assists in stress reduction and balancing human emotions. Golshani et al. (2021) provide evidence that cognitive behavioral therapy-based counseling is an effective intervention for reducing stress in pregnant women with a history of primary infertility. Furthermore, Golshani et al. (2021) urge that pregnant women with a history of primary infertility may experience less stress, anxiety, and poorer quality of life after receiving CBT counseling. Sahraeian et al. (2019) also add that psychosocial support groups can influence the effectiveness of CBT in improving the mental health of infertile women. Golshani et al. (2021) further add that to help pregnant women with a history of infertility, the CBT counseling strategy is advised in addition to other counseling strategies. However, to the best of my knowledge, this statement is not supported by empirical study findings but rather by the assumption that stress causes infertility. Thus, the proposed study aims to explore the impact of CBT counseling on female infertility to determine whether stress management interventions can be useful in the infertility treatment process.

Problem Statement

The relationship between stress and infertility is complex, with infertile couples experiencing higher stress levels along with an increased risk of developing psychological disorders such as depression, anxiety, and stress. On the other hand, higher stress levels cause infertility (Cheng et al., 2019; Simionescu et al., 2021). Bhardwaj et al. (2018) also support that stress contributes to infertility. The authors elucidate that oxidative stress damages the reproductive physiology of females by interfering with an individual’s antioxidant defense system. According to Bhardwaj et al. (2018), a variety of toxicants alter this defense system and cause various reproductive disorders such as implantation defects, impaired folliculogenesis, miscarriages, follicular atresia, and endometriosis; thus, directly affecting female’s fertility and reproductive physiology.

Furthermore, Golshani et al. (2021) urge that ovulation, fertilization, and implantation, regardless of the origin of the stressful stimuli, can all be affected by stress on the female adrenal and HPO axis. Derivations in LH pulses induce or inhibit ovulatory function directly or indirectly by influencing ovarian steroid production. Work-induced stress affects LH plasma levels directly during the follicular and luteal phases of the ovarian cycle (Golshani et al., 2021). It has been shown that distress in the general population, as well as in infertile women, leads to lower conception rates, longer menses (35 days), and lower fertility outcomes, including oocyte retrieval, fertilization, pregnancy, and live births (Golshani et al., 2021). Women with infertility who experience chronic psychosocial stress have also been found to have a reduced ovarian reserve. The presence of these markers was associated with a greater likelihood of a diminished ovarian reserve. Undernutrition, financial hardship, and low socioeconomic status may negatively impact ovarian reserves.

Purpose of Research

The primary goal of this study is to examine the impact of Cognitive-Behavioral Therapy-Based Counseling, a renowned stress management strategy, on female infertility. Usually, infertility may lead to several problems for couples, among which include increased marital conflicts. Since stress and anxiety may lead to infertility and increase marital disputes, it is important to provide counseling to reduce stress. Stress is believed to be a cause of infertility. However, to the best of my knowledge, scholars are yet to examine the impact of stress management strategies on infertility. Thus, this study will seek to fill this research gap by examining whether Cognitive-Behavioral Therapy-Based Counseling reduces infertility among women of the reproductive age group.

Research Question

What is the impact of Cognitive-Behavioral Therapy-Based Counseling on female infertility?

Hypothesis

Ho: Cognitive-Behavioral Therapy-Based Counseling has a positive and significant influence on female infertility.

H1: Cognitive-Behavioral Therapy-Based Counseling has no significant influence on female infertility.

Description of Research Design

This study will adopt a randomized research design. This research design entails randomly assigning research subjects to either a control or an experimental group. Usually, the expected difference between the experimental and the control groups in a randomized study is the outcome variable under investigation. This study will be conducted as a randomized clinical trial with a total of 50 research subjects. Participants will include infertile women visiting a particular public healthcare hospital in the US. The 50 participants will be divided into two equal groups: one group will serve as an experimental group and the other as a control group. The experimental group for the proposed study will receive a 30-45 minutes counseling session twice a week. The counseling session will use a CBT stress reduction approach and run for 8 weeks. The control group will not be exposed to any stress reduction technique. After the 8 weeks, demographic characteristics and Harry’s Stress Assessment questionnaires will be used for data collection. SPSS version 26.0 will be used to perform an independent and paired t-test to determine whether the stress reduction strategy has led to reduced stress among the experimental group. When it is confirmed that the applied stress reduction approach has led to reduced stress levels, the two groups will then be advised to try to conceive in the next three-six months. Final clinical evaluations will be made to determine the difference between the fertility level of the two groups.

Variables

This study will have two main variables. The independent variable will be cognitive-behavioral therapy-based counseling, and the dependent variable will be female infertility. The study will explore the nature of the relationship between these two variables. Data on the impact of cognitive-behavioral therapy-based counseling will be measured using Harry’s Stress Assessment questionnaires. Female fertility will be measured as the women’s capacity to get pregnant and deliver the baby in the next.

Definition of Terms

Stress: In the context of the proposed study, stress refers to a dynamic condition where a person is faced with an opportunity, demand, or constraint related to what they desire and for which the outcome is considered to be indeterminate but imperative.

Infertility: Infertility in the context of the proposed study refers to a situation whereby couples belonging in a reproductive age group are not in a position to become pregnant after at least one year of unprotected sex.

Cognitive-Behavioral Therapy: In the proposed study, CBT will be used to refer to a form of psychological treatment that aims to minimize symptoms of different mental health conditions such as anxiety, and depression disorders.

Delimitations

Delimitations are the decisions that the researcher makes in order to govern the parameters of the study. The first delimitation for the proposed study is on sample selection. Only infertile women within the reproductive age group will be recruited to take part in the study. The second delimitation of the proposed study is that it will only focus on examining the impact of CBT on infertility among women; hence the impact of CBT on men’s infertility will not be considered.

Assumptions

These are situations and concepts which are considered to be true and, to some extent, are not within the researcher’s control. The first assumption for this study is that the collected primary data will be accurate and sufficient to address the research question. It will also be assumed that infertility among the selected women is not caused by underlying medical conditions.

Limitations

Limitations are potential shortcomings and influences, and the researcher has no control over them. One of the potential limitations of this study is the small sample. It is anticipated that limiting the respondents to females in the reproductive age groups will restrict the sample size. However, this restriction will be important in the study as it will reduce the scope of the study and make it as specific as possible.

Significance

The proposed study will have significant value. Firstly, the study will uncover the impact of CBT Counseling on female infertility. If findings showcase that CBT contributes to improved fertility, the findings of the study will be used to emphasize the use of stress reduction techniques in improving the efficiency of infertility treatment procedures.

Consequently, this will assist in reducing infertility which is currently a significant health issue requiring to be dealt with. Also, the findings of this study will add to the scope of literature relating to fertility and stress and provide future scholars with rich literature to support their studies that relate to this area of research.

References

Bhardwaj, J. K., Mittal, M., Saraf, P., & Kumari, P. (2018). Pesticides induced oxidative stress and female infertility: a review. Toxin Reviews. https://doi.org/10.1080/15569543.2018.1474926Biringer, E., Howard, L. M., Kessler, U., Stewart, R., & Mykletun, A. (2015). Is infertility really associated with higher levels of mental distress in the female population? Results from the North-Trøndelag Health Study and the Medical Birth Registry of Norway. Journal of Psychosomatic Obstetrics & Gynecology, 36(2), 38-45.

Cheng, Y., Zhang, J., Wu, T., Jiang, X., Jia, H., Qing, S., … & Su, J. (2019). Reproductive toxicity of acute Cd exposure in the mouse: Resulting in oocyte defects and decreased female fertility. Toxicology and Applied Pharmacology, 379, 114684. https://doi.org/10.1016/j.taap.2019.114684Golshani, F., Hasanpour, S., Mirghafourvand, M., & Esmaeilpour, K. (2021). Effect of cognitive behavioral therapy-based counseling on perceived stress in pregnant women with a history of primary infertility: A controlled randomized clinical trial. BMC Psychiatry, 21(1), 1–11.

Hajela, S., Prasad, S., Kumaran, A., & Kumar, Y. (2016). Stress and infertility: A review. International Journal of Reproduction, Contraception, Obstetrics and Gynecology, 5(4), 940-943. http://dx.doi.org/10.18203/2320-1770.ijrcog20160001Khodakarami, B., Masoumi, S. Z., Shayan, A., Ahmadnia, H., Dastgerdian, F., & Rabiei, S. (2020). The Effect of Counseling on Stress in Infertile Women Admitted to an Infertility Center in Hamadan City, Iran. Current Psychiatry Research and Reviews Formerly: Current Psychiatry Reviews, 16(3), 220-226.

Patel, A., Sharma, P. S. V. N., Narayan, P., Binu, V. S., Dinesh, N., & Pai, P. J. (2016). Prevalence and predictors of infertility-specific stress in women diagnosed with primary infertility: A clinic-based study. Journal of human reproductive sciences, 9(1), 28. https://doi.org/10.4103%2F0974-1208.178630Rooney, K. L., & Domar, A. D. (2018). The relationship between stress and infertility. Dialogues in clinical neuroscience, 20(1): 41–47. https://doi.org/10.31887%2FDCNS.2018.20.1%2FklrooneySahraeian, M., Lotfi, R., Qorbani, M., Faramarzi, M., Dinpajooh, F., & Ramezani Tehrani, F. (2019). The effect of Cognitive Behavioral Therapy on sexual function in infertile women: A randomized controlled clinical trial. Journal of sex & marital therapy, 45(7), 574-584.

Simionescu, G., Doroftei, B., Maftei, R., Obreja, B. E., Anton, E., Grab, D., … & Anton, C. (2021). The complex relationship between infertility and psychological distress. Experimental and Therapeutic Medicine, 21(4), 1-1.

Examining the Impact of Advanced Technology on Employment

Examining the Impact of Advanced Technology on Employment Patterns in China

Name

Institution

Abstract

Technological advancement is an essential driver of industrial and economic development through improved efficiency and productivity. The development of a nation is, therefore, dependent on technological development. The advancement of technology in the industrial sector is categorized into periods of the industrial revolution. The industrial revolution has both positive and negative impact. This study seeks to evaluate the impact of technological advancement on employment patterns in China with the focus being the technological unemployment.

The study used external secondary information from different Chinese publication sites to extract information on industrial development in China between 2009 and 2019. The main focus was on the impact of industrialization on employment patterns with the emphasis on technological unemployment.

The study findings indicate the importance of technological unemployment. In 2011, there were reported 21.6 million registered unemployed people. The figure had reduced in 2018 to 9.75 million in urban areas. However, the national unemployment figures remained constant at 4.1% as of 2019. Besides, the introduction of artificial intelligence in the coastal cities of china resulted in 30 to 40% job losses as of 2019. The estimated job losses as of 2050 will be 26%. Therefore, the introduction of automation technology has a negative impact on job opportunities.

The study findings are vital in mitigating the future risk of introduction of robotics to the industry. There is a risk of job losses if the current trend persists. Therefore, the Chinese government must develop and implement policies to ensure the same technology can create job opportunities for the entire Chinese population.

Table of Contents

TOC o “1-3” h z u 1.0 Introduction PAGEREF _Toc43728005 h 11.1 Background Information PAGEREF _Toc43728006 h 11.2 Research Questions PAGEREF _Toc43728007 h 31.3.1 Main Objective PAGEREF _Toc43728008 h 31.4 Justification PAGEREF _Toc43728009 h 41.5 Dissertation Structure PAGEREF _Toc43728010 h 62.0 Literature Review PAGEREF _Toc43728011 h 72.1 Industrial Revolution PAGEREF _Toc43728012 h 72.1.1 The First Industrial Revolution PAGEREF _Toc43728013 h 92.1.2 The Second Industrial Revolution PAGEREF _Toc43728014 h 102.1.3 The Third Industrial Revolution PAGEREF _Toc43728015 h 102.1.4 The Fourth Industrial Revolution PAGEREF _Toc43728016 h 112.2 Industrialization in China PAGEREF _Toc43728017 h 122.2.1 Industrialization Development Stages in China PAGEREF _Toc43728018 h 132.3 China’s Industrialization Achievements PAGEREF _Toc43728019 h 152.3.1 Economic Growth PAGEREF _Toc43728020 h 152.3.2 Employment Opportunities PAGEREF _Toc43728021 h 172.3.3 Industrial Challenge of Unemployment PAGEREF _Toc43728022 h 183.0 Methodology PAGEREF _Toc43728023 h 203.1 Secondary Information Search PAGEREF _Toc43728024 h 203.2 Technological Changes Affecting Chinese Labor Force PAGEREF _Toc43728025 h 213.3 Impact of Advanced Technology on Chinese Labor Force PAGEREF _Toc43728026 h 213.4 Contribution of Advanced Technology on Unemployment in China PAGEREF _Toc43728027 h 214.0 Data PAGEREF _Toc43728028 h 214.1 Total Employed and Unemployed Population in China PAGEREF _Toc43728029 h 224.2 Total Unemployed Youth in China PAGEREF _Toc43728030 h 254.3 Total Number of Rural to Urban Migrants in China PAGEREF _Toc43728031 h 274.4 Number of Employed People per Sector PAGEREF _Toc43728032 h 294.4.1 Primary Industry PAGEREF _Toc43728033 h 314.4.2 Secondary Industry PAGEREF _Toc43728034 h 324.4.3 Tertiary Industry PAGEREF _Toc43728035 h 344.5 Technological Changes in the industrial sector in China PAGEREF _Toc43728036 h 354.5.1 Investment in Research and Development (R&D) in China PAGEREF _Toc43728037 h 365.0 Data Analysis PAGEREF _Toc43728038 h 395.1 Total Employed and Unemployed Population in China PAGEREF _Toc43728039 h 405.2 Total Unemployed Youth in China PAGEREF _Toc43728040 h 425.3 Total Number of Rural to Urban Migrants in China PAGEREF _Toc43728041 h 435.4 The Primary Industry PAGEREF _Toc43728042 h 445.5 Secondary Industry PAGEREF _Toc43728043 h 455.6 Tertiary Industry PAGEREF _Toc43728044 h 475.7 Comparison with R&D PAGEREF _Toc43728045 h 486.0 Findings and Discussion PAGEREF _Toc43728046 h 526.1 Findings PAGEREF _Toc43728047 h 526.1.1 Technological Changes Affecting Chinese Labor Force PAGEREF _Toc43728048 h 526.1.2 Impact of Advanced Technology on Chinese Labor Force PAGEREF _Toc43728049 h 546.1.3 Contribution of Advanced Technology on Employment in China PAGEREF _Toc43728050 h 566.1.4 Contribution of Advanced Technology on Unemployment in China PAGEREF _Toc43728051 h 566.2 Discussion PAGEREF _Toc43728052 h 596.2.1 The Demand and Supply of Labor Force in China PAGEREF _Toc43728053 h 596.2.2 Factors Contributing to Automation Need in the Industries in China PAGEREF _Toc43728054 h 616.2.3 Artificial Intelligence and Technological Unemployment PAGEREF _Toc43728055 h 636.2.4 Limitation of the Study PAGEREF _Toc43728056 h 667.0 Conclusion and Recommendations PAGEREF _Toc43728057 h 677.1 Conclusion PAGEREF _Toc43728058 h 677.2 Recommendations PAGEREF _Toc43728059 h 68References PAGEREF _Toc43728060 h 70

List of Figures

TOC h z c “Figure” Figure 1 An image showing different features of the fourth industrial revolution. PAGEREF _Toc43728628 h 11Figure 2 A graph showing the GDP contributed by the three sectors of the industry in China.. PAGEREF _Toc43728629 h 16Figure 3 A graph showing the GDP rise in China from 2010 until 2019. PAGEREF _Toc43728630 h 17Figure 4 A graph showing the estimated unemployed population in China. PAGEREF _Toc43728631 h 19Figure 5 A graph showing the rate of educated unemployment and low qualified proportion in the total urban unemployed population.. PAGEREF _Toc43728632 h 19Figure 6 A table sowing the percentage of the total employed and unemployed people in China. PAGEREF _Toc43728633 h 22Figure 7 A graph showing the trend of employed people in China. PAGEREF _Toc43728634 h 23Figure 8 A graph showing the trend of unemployed people in china. PAGEREF _Toc43728635 h 24Figure 9 A graph showing unemployment trend in China. PAGEREF _Toc43728636 h 25Figure 10 A table sowing the percentage of the total unemployed youth in China. PAGEREF _Toc43728637 h 26Figure 11 A graph showing the trend of the proportion of unemployed youth in China. PAGEREF _Toc43728638 h 26Figure 12 A table showing the number of rural to urban migrants in China. PAGEREF _Toc43728639 h 28Figure 13 A graph showing migrant trend in China.. PAGEREF _Toc43728640 h 29Figure 14 A graph showing employment trend in China. PAGEREF _Toc43728641 h 30Figure 15 A table showing the number of employed people in primary sector in China. PAGEREF _Toc43728642 h 31Figure 16 A graph showing employment trend in China.. PAGEREF _Toc43728643 h 32Figure 17 A table showing the number of employed people in secondary sector in China. PAGEREF _Toc43728644 h 33Figure 18 A graph showing employment trend in China.. PAGEREF _Toc43728645 h 33Figure 19 A table showing the number of employed people in tertiary sector in China. PAGEREF _Toc43728646 h 34Figure 20 A graph showing employment trend in China. PAGEREF _Toc43728647 h 35Figure 21 A table showing the R&D expenditure in China. Data retrieved from National Bureau of Statistics of China, 2019. PAGEREF _Toc43728648 h 37Figure 22 A graph showing R&D expenditure trend in China. PAGEREF _Toc43728649 h 37Figure 23 A graph showing R&D expenditure trend in China. PAGEREF _Toc43728650 h 38Figure 24 A table showing correlation. PAGEREF _Toc43728651 h 41Figure 25 A table showing correlation. PAGEREF _Toc43728652 h 42Figure 26 A table showing correlation. PAGEREF _Toc43728653 h 44Figure 27 A table showing correlation. PAGEREF _Toc43728654 h 45Figure 28 A table showing correlation. PAGEREF _Toc43728655 h 46Figure 29 A table showing correlation. PAGEREF _Toc43728656 h 47Figure 30 A table showing correlation. PAGEREF _Toc43728657 h 50Figure 31 A table showing correlation. PAGEREF _Toc43728658 h 51Figure 32 A graph showing work force estimations as at 2050. PAGEREF _Toc43728659 h 53Figure 33 A graph showing impact of technological changes in agricultural sector. PAGEREF _Toc43728660 h 55Figure 34 A graph showing the impact of technological changes in manufacturing industry in China. PAGEREF _Toc43728661 h 55Figure 35 A graph showing the proportion of unemployed people in China.. PAGEREF _Toc43728662 h 58 HYPERLINK l “_Toc43728663” Figure 36 A graph showing the demographics substitution probability with automation technology in China. PAGEREF _Toc43728663 h 63

1.0 Introduction1.1 Background InformationAdvancing technology is a vital driver of industrial growth and rapid economic development through mass production. Technological progress results in increasing productivity, which boosts consumption and per capita income (Allen, 2009). Furthermore, technology influences the nature and quality of work in the industry sector. Therefore, the improvement of technology causes the development of the industry sector and society. Studies have shown that technology, society, and institutions have demonstrated to evolve together. The technological advancement has been gradual over time with slow improvement of the existing technology or innovation of new technology (Colombo et al., 2017). In other instances, the development has been rapid, causing the breakthrough that is experienced in various industries. The advancement of technology has resulted in the transformation of the economies and the organizational structure of societies. However, advanced technology has developed undesirable effects such as technological unemployment within society.

The technology supports the development history of humankind. Historically, the industrial revolution in the 1960s was characterized by the advancement of the machine industry from the workshop handicraft through technology (Ashton, 1997). During the period of the industrial revolution, machines were used to replace the workforce to improve productivity. However, studies have shown that technological progress is characterized by improved production and reduced labor in production. The industrial revolution caused the hand factory to be replaced by the machine factory. The massive technological revolution deprived the manual workers of their labor. Hence, continuous technological improvement causes the labor force to experience low-skilled labor. The operation of machines requires high-skilled labor to improve the efficiency of production and reduce machine breakdown (Buera & Shin, 2013). The numbers of machine operators are few compared to handcraft. Therefore, the advancement of technology has resulted in a loss of employment for many people over time.

Industrialization and development are associated with the advancement in technology. New technology in China has improved economic development by raising national income through increased industrial output (Feng et al., 2017). Globally, policymakers pay attention to technological innovation and inventions. Similarly, Chinese economic policy has promoted science and technology in the past years. The recently released National Guidelines for Medium- and Long-term Plans for Science and Technology Development of China (2006-2020), focuses on the technological changes. The Chinese firms have embraced the promotion with the development of artificial intelligence (AI) machines (Maynard, 2015). The development of AI has caused major technological and production breakthroughs in China. However, these machines require few skilled personnel within the departments. The low skilled staff is laid down because of the reduced services required. Therefore, the advancement of technology has enormous breakthroughs in industrial production but affects the living standards of the people and increases the possibility of increased poverty.

Previous studies have determined that the advanced technology in industries potentially cause rapid and enormous developments. The revolution will become the driving force in future upgrading and economic development (Colombo et al., 2017). This dissertation focusses on the impact of advanced technology in the employment patterns in China. Past studies have different views on employment patterns resulting from advanced technology with different views on technological unemployment. The advanced technology has been demonstrated with the main objective being industrial efficiency (Dollar et al., 2003). However, the link between advanced technology and technological unemployment is not elaborate. Therefore, it is crucial to study the impact of advanced technology on employment patterns in China, with a special focus on technological unemployment. To do this, the employment patterns in China resulting from advanced technology were considered with a special focus between 2009 and 2019 (ten years). The results from this period will give an insight into the current trend, which can be used to provide a likely future trend with a continued trend of technological advances. The findings showed a significant unemployment trend to be caused by advanced technology. Therefore, at the industry level, the stakeholders should find the possible ways of creating employment using the same technology to realize industrial expansion and growth.

1.2 Research QuestionsVarious questions need to be considered for testing the study hypotheses. These questions include:

What is the importance of advanced technology in the industrial sector?

What are the changes in technology affecting the labor force in China?

What is the extent that advanced technology causes unemployment?

What actions can be taken to ensure the advanced technology creates employment?

1.3 Research Objectives

1.3.1 Main ObjectiveTo determine the impact of advanced technology on employment patterns in China

1.3.1.1 Specific Objectives

To evaluate the technological changes affecting the labor force in China

To examine how advanced technology result in unemployment

To assess the positive impact of advanced technology on the labor force in China

To recommend basing on the findings on how advanced technology can be used to increase employment

1.4 JustificationThe fourth industrial revolution, characterized by the extensive implementation of current advanced technologies, will result not only in income equity and labor markets but also in global market changes (Walker, 2014). However, the nature and consequences of the change are not established. Therefore, there is a need to create a balance between the labor force and advancing technology to ensure appropriate strategies are in place to avoid undesirable effects of the Industrial Revolution (Ruan & Zhang, 2009). The continued reduction of the need for human labor because of new technological innovation requires proper ways to mitigate the impact and create better ways using the same technology to allow the creation of new employment opportunities that will benefit the growing population. Research studies aimed at reducing the uncertainty due to advanced technology will ensure preparedness for future risks.

Globally, many countries and states suffer from an unemployment problem. The advanced technology enhances the process of development through efficiency in production (Maynard, 2015). Therefore, it is crucial for the countries embracing the new technologies to set up policies that regulate the technological function and labor force to ensure the creation of job opportunities and not cutting off the staff. Studies and research on the significant problems of unemployment are essential to provide proper guidelines and solutions to alleviate the world’s crisis. Effective policies need to be developed, such as reallocation policies in cases where the technology results in less income supply. Therefore, technology should be embraced and policies created to mitigate the effects it has at the country and global levels.

Technology has been identified as the main enhancer of the economy, with policies promoting advancement being put in place. Globally, many countries, including China, have set policies that encourage technological advancement through development and innovation (Feng, 2011). The advanced technology has brought many positive impacts in the industrial sector. However, the advancement of technology has a negative effect causing a significant rise in the number of unemployment cases. Moreover, the development of machines using advanced technology, such as the introduction of artificial intelligence (AI), has been associated with improved efficiency, cost reduction, and saving time (Buera & Shin, 2013). However, the different industries have replaced staff with the machine that is managed and operated by fewer people resulting in a higher unemployment rate. The low skilled personnel is cut off, and their services replaced by robots to save time and cost. Therefore, both desirable and undesirable effects in the industrial sector accompany advanced technology.

On the other hand, advanced technology has desirable outcomes. The advancement of technology could result in innovations to improve production methods or increase the scale of production. Consequently, the amount of required labor will increase with growing technology. China has a higher population and experience employment problem causing wastage of social labor and social stability of the country. The cost of unemployment is expensive, characterized by increased financial expenditure in the country. Advanced technology is the main priority that causes rapid and stable economic development with its success. The third wave in the industrial revolution is due to high technology, which becomes the central pillar for the national economy and the transformation of social and economic development.

1.5 Dissertation StructureThis dissertation has been organized into seven chapters. Chapter 1 is the introduction and covers background information, research questions, research objectives, and justification for the research study. The background information contextualizes the study, focusing on global impact and an introduction to the overview in China. The chapter also gives a brief outline of the methodology, findings, and recommendations.

Chapter 2 is the literature review covering the historical perspective of the technological changes through reviewing the literature on the industrial revolution. The section covers the four industrial revolution and the technological changes associated with each industrial revolution. The chapter also reviews research on industrialization in China. Furthermore, it covers the stages of industrialization and economic growth. Besides, the literature on the employment opportunities associated with the technological changes in China is reviewed. Furthermore, the challenge of unemployment associated with industrialization in china was reviewed.

Chapter 3 focuses on the methodology. The chapter focuses on how the secondary information was obtained on various aspects under study, including the technological changes affecting the labor force, the impact of advanced technology on the labor force, and the contribution of advanced technology on unemployment in China.

Chapter 4 and 5 focuses on data and analysis. The main areas are the employment and the unemployment trends between 2009 and 2019. The analysis done is main the descriptive analysis to show the relationship between the various variables with the changes in time. the analysis will be performed using Microsoft Excel 2019.

Chapter 6 focuses on the findings and discussion of the findings from the secondary sources mentioned in chapter 3. The main areas of focus include the technological changes affecting the labor force, the impact of advanced technology on the labor force, and the contribution of advanced technology on unemployment In China. These findings form the basis of a discussion of outcomes in the next chapter. The areas of discussion include the demand and supply of labor force in China, factors contributing to the need for automation technology in China, and the contribution of artificial intelligence (AI) in technological unemployment. The chapter also discusses the limitation of the study.

Chapter 7 is on conclusion and recommendation base on the study findings. The conclusion provides a summary of the main points discussed in the various chapters of the study. Besides, the recommendation section offers practical suggestions on the impact of technological advancement, especially on the technological unemployment challenge.

2.0 Literature Review2.1 Industrial RevolutionThe industrial revolution is the historical change that led to the progressive change form handicraft and agrarian economy to machine and industry manufacturing. The industrial process began in Britain in the 18t century and later spread globally. Arnold Toynbee, a historian describing the development of Britain’s economy from 1760 to 1840, first described the industrial revolution (Allen, 2009). Features such as cultural, socioeconomic, and technological changes characterize the industrial revolution. The technological changes that were conducted included the use of new energy sources such as motive power and fuel. The sources of energy invented at the time included petroleum, electricity, coal, steam engine, and internal combustion engine. Secondly, there was an introduction to the new basic materials, including mainly steel and iron, into use. Thirdly, there was an invention and introduction of machines, including power loom and the spinning jenny, that increased production with little use of human energy. Furthermore, there was the introduction of the factory system representing a new organization of work characterized by specialization of function and division of labor. In addition, there were vital developments in the communication and transport sector, including the introduction of steamship, airplane, radio, telegraph, automobile, and the steam locomotive. Lastly, there was an increased application of science and technology in industrial operations. These technological changes allowed for the massive and efficient use of natural resources and mass production of goods in the manufacturing industry.

The industrial revolution did not only happen in the industrial sector but also other non-industrial sectors. In the agricultural sector, some changes led to massive food production to the nonagricultural population (Buera & Shin, 2013). Secondly, there were economic changes that led to wider wealth distribution. Furthermore, the economic changes caused reduced land use as the only resource for wealth, leading to increased international trade and a rise in industrial production. Thirdly, political changes caused the shift in the economic power and development of state policies that corresponded to increasing needs for the industrialized society (Feng et al., 2017). In addition, there were social changes, including the development of many working-class movements, growth of cities, and the emergence and development of new authority patterns. Moreover, there were psychological changes characterized by improved confidence concerning the ability to use the available resources and heightened ability to master nature. Lastly, there were broader cultural changes. The workers were trained and acquired new knowledge and skills, and the tasks they could perform changed. Many of the workers were trained to operate machines instead of remaining artisans due to revolution.

2.1.1 The First Industrial RevolutionThe first industrial revolution was experienced in Europe in between 1760 and 1840. During this period, Britain restricted machine export, manufacturing techniques, and skilled workers to the rest of the world (Ashton, 1997). However, Britain’s monopoly did not last as William and John Cockerill from Britain introduced the industrial revolution in Belgium in 1807 (Emerson, 1983). The two men saw profitable opportunities abroad than in their own country and made Belgium be the first county to experienced economic transformation. Belgium revolution was also centered in textile, coal, and iron (Blinder, 2006). The industrial revolution in France was slower because, at the time of the immense industrial revolution, Britain was establishing industrial leadership, making France not invest in industrial innovations due to political instability. In 1848, France became an industrial power but remained behind Britain (Ashton, 1997). Other counties within Europe did not grow industrially because of the political conditions that made expansion unfavorable. Germany was among the countries that developed later, and in 1870, the country had achieved great industrial success making use of steel to become the world’s leading country in chemical industries (Emerson, 1983). The US rose in the industrial revolution in the 19th and 20th centuries, followed by Japan.

Other countries in Eastern Europe remained behind in the 20th century until the Soviet Union became the leading industrial power. In the mid-20th century, the industrial revolution spread to other areas, including formerly non-industrialized India and China (Dong et al., 2017). Therefore, the industrial revolution took place at different times in various countries of the world.

2.1.2 The Second Industrial RevolutionThe second industrial revolution overlapped with the first industrial revolution in the late 19th and 20th centuries. The second revolution brought changes through the innovation of wired and wireless communication, the form of electricity distribution, the introduction of other forms of power generation, and the synthesis of ammonia (Xie & Zhou, 2014). The basic materials, including natural and synthetic resources that were formerly not exploited, were exploited in the second industrial revolution. Furthermore, the second revolution was characterized by the introduction of new alloys, lighter metals, energy sources, and synthetic products such as plastics. The development of tools, machines, and computers gave rise to automation in the factories. The operation automation in the industries led to mass production in the second half of the 20th century. The ownership of means of production became widespread, making increased distribution of ownership using the purchase of common stocks to be common among the institution such as insurance companies and individuals. The social and economic changes made the governments create new policies to meet the needs of their complex industrial societies.

2.1.3 The Third Industrial RevolutionThe third industrial revolution happened in the second half of the 20th century in 1969, characterized by the introduction of information technology (IT) and electronics to automate the production process (Blinder, 2006). During this revolution, there was the introduction of the untapped nuclear source of energy in various countries. The revolution introduced computers, telecommunication, and electronics. The new technologies at the time led to the introduction of research, biotechnology, and expeditions (Xie & Zhou, 2014). In the industrial sector, there was the introduction of the robots and the Programmable Logic Controllers (PLCs) that helped in the high technology automation processes.

2.1.4 The Fourth Industrial RevolutionThe period of revolution is characterized by the current transformations in industrial practices to smart technology. The focus of the revolution is the use of the Internet of Things (IoT) and machine-to-machine communication (M2M) to ensure a high level of automation, self-monitoring, smart machines, and improved communication (Maynard, 2015). The smart machines are able to perform analysis and diagnosis of issues independently without human assistance.

Figure SEQ Figure * ARABIC 1 An image showing different features of the fourth industrial revolution. Image retrieved from Maynard, 2015.Despite the dependence of third revolution infrastructure and technologies, the fourth revolution introduces innovative ways on how technology can be embedded in human bodies in society (Feng et al., 2017). Examples of these innovations include genome editing, cryptographic methods applied in governance approaches, and new machine intelligence.

2.2 Industrialization in ChinaResearch had shown that before the 20th century, China was utterly an agrarian nation, with 90% of the population living in rural areas. The industrialization process began in the 1900s, with an average of 8-9% annual industrial increase between 1912 and 1936 (Xu et al., 2018). In 1949, during the founding of the People‘s Republic of China, the country experienced different industrial progress through the development and implementation of strategies (Clark et al., 2017). These strategies included prioritization of the heavy industry, developing a balance between light and heavy industries, and re-prioritization of heavy industry. However, China faced setbacks in the process but was able to attain transformation from an agricultural economy to an industrial economy.

Industrialization in China has made tremendous progress in the past years. In 2000, studies reported that the share of the industrial sector on total GDP had increased by two-thirds. The agricultural industry’s contribution had registered a reduction from 42% in 1970 to 12% as of 2000 (Bloem et al., 2014). The industrial sector’s total output has continued to grow, and in 2017, the industrial sector contributed 46% of the country’s GDP (Xu et al., 2018). Currently, China has been recognized as one of the foreign investment-friendly economies, which is supported by the import-export industrialization model and the economic growth experienced in the country.

2.2.1 Industrialization Development Stages in ChinaThe development of industrialization in China can be categorized into three stages. Firstly, there is the period between 1953 and 1978, where China used the centrally planned economy to prioritize heavy industry (Allen, 2009). The country aimed at rapid industrialization to attain the level of other countries. The first five years of the period were characterized by the country’s focus on efforts towards the construction of the medium and large-sized industrial projects. The studies have reported 694 industrial projects with 156 supported by the Soviet Union. China was able to lay the primary foundation for the future industrialization providing technological and material support to build the national economy (Xu et al., 2018). A huge implementation of industrialization strategy characterizes a period between 1958 and 1960 (Li et al., 2017). The government mobilized a huge amount of workforce and funds investment to support industrial growth, with the major emphasis on the heavy industry, steel, and iron industry. The government’s focus was to utilize the cheap labor in high supply and avoid the expenses associated with the importation of heavy machinery. The period was characterized by failures resulting in material shortages and economic decline. The period between 1961 and 1965 was characterized by the development and implementation of the strategies (Knight & Xue, 2006). These strategies included coordination and balance in the development of agriculture, heavy industries, and light industries. The imbalance of economy contributed by the strategies led to the success and improvement of the economy in China. The period between 1966 and 1978 was characterized by the successful implementation of strategies and the division of the country into three fronts, the western, coastal, and central fronts. The division focused on the military strategy instead of the economic ef

Discussion on Virtual teams

Virtual Teams

Student’s Name:

Institution:

Date:

Virtual teams

Definition: virtual teams are teams whose members operate across space, time, and organizational boundaries and are linked through information technologies to achieve organizational tasks (McShane & Von Glinow, 2013, p. 255)

Summary: the article “How a Virtual Workforce Levels the Gender Playing Field” by Jeff Hyman, the advantages of adopting virtual teams by firms have been highlighted in depth. He categorically stresses on the gains in terms of gender equality. Jeff Hyman says the lack of conflict between career and family commitments that rocks many traditional jobs has contributed immensely in drawing women to the teams. Flexible work schedules motivate employees as it empowers them.

Discussion: adoption of information technology has revolutionized the workplace. More managers are turning to social media to relay information to their employees. The more professional tools in the form of teleconferencing and skyping play an important role in cost-cutting by facilitating interactions virtually. Emphasis is thus shifting from the number of hours employees spend at the desk to a result based approach that evaluates tasks completed. This has undermined the importance of worker relationships as pointed out by Sian Harrington ( CITATION Har09 l 1033 (Harrington, 2009). This shortcoming has slowed down the adoption of virtual teams that promised to transform the lifestyles of many.

Leadership is identified as a key ingredient in virtual working CITATION Har09 l 1033 (Harrington, 2009). The same sentiments are echoed by Jeff Hyman whose clarifies that virtual teams are better suited for a seasoned workforce that knows a lot about different environments CITATION Jef14 l 1033 (Hyman, 2014). This not only locks out young prospective employees but also hampers career development as learning is a complicated process when working virtually.

An employee’s perspective is presented in the article “Working in a Virtual Team” on the Mind Tools website. Challenges in building relationships and communication setbacks are the core problems that employees face in virtual teams. A case study of an employee by the name Merissa shows that in spite of comprising of intelligent people, virtual teams have in built challenges CITATION Car13 l 1033 (Smith, 2013). Besides the aforementioned problems in building rapport and communication, voicing opinions emerges as another shortcoming. This makes it difficult to resolve team conflicts, leading to tension in the team.

Various remedies to resolve these challenges have been advanced to enable successful virtual teams. Top of the list is effective communication. This should be reflected in emails, timely responses and courteous interactions. This roughly covers all relationships employees are involved in. dealing with isolation and raising issues will ultimately lead to successful virtual teams as evidence in the text tasks (McShane & Von Glinow, 2013, p. 255)

Firms’ Managements should work on selecting the right members for the teams to boost virtual teams’ image and subsequent acceptance in various firms. Reduced costs and a flexible empowered work force is the recipe for success every executive yearns. This makes virtual teams the way forward.

References

BIBLIOGRAPHY Harrington, S. (2009, May 20). Employers slow to adopt virtual working in spite of its positive benefits to business – See more at: http://www.hrmagazine.co.uk/hro/news/1015258/employers-slow-adopt-virtual-spite-positive-benefits-business#sthash.0HwN0PbN.dpuf. Retrieved October 9, 2014, from HR magazine: http://www.hrmagazine.co.uk/hro/news/1015258/employers-slow-adopt-virtual-spite-positive-benefits-business

Hyman, J. (2014, August 20). Jeff Hyman: How a Virtual Workforce Levels the Gender Playing Field. Retrieved from THE WALL STREET JOURNAL: http://blogs.wsj.com/accelerators/2014/08/20/jeff-hyman-how-a-virtual-workforce-levels-the-gender-playing-field/?KEYWORDS=virtual+team

S., M., & Glinow, V. (2013). Organizational behaviour. New York: McGraw-Hill Irwin.

Smith, C. (2013, June). Working in a Virtual Team. Retrieved from MindTools: http://www.mindtools.com/pages/article/working-virtual-team.htm