This study investigates the impact of intelligent manufacturing methods driven by artificial intelligence (AI) on cost stickiness in Chinese manufacturing enterprises. Leveraging the ABJ model， a regression analysis explores how different AI‐enabled intelligent manufacturing approaches influence cost stickiness through the lens of innovation equilibrium. The sample comprises manufacturing companies listed on China's A‐share market from 2013 to 2021. The findings reveal a negative correlation between intelligent manufacturing adoption and cost stickiness among these firms. Specifically, production‐based intelligent manufacturing exhibits a more significant effect on reducing cost stickiness compared with collaborative intelligent manufacturing methods. Moreover, intelligent manufacturing positively impacts both joint equilibrium innovation and matching equilibrium innovation. While joint equilibrium innovation is negatively associated with cost stickiness, matching equilibrium innovation shows no significant relationship with cost stickiness. The results indicate that innovation equilibrium plays a mediating role in the relationship between AI‐driven intelligent manufacturing and cost stickiness. Overall, this research sheds light on how AI capabilities enabling intelligent manufacturing processes and innovation equilibrium dynamics can help alleviate cost stickiness issues faced by manufacturing enterprises. It highlights the strategic value of adopting AI systems to enhance operational efficiency and cost management flexibility within manufacturing contexts.
本研究探讨了人工智能（AI）驱动的智能制造方法对中国制造企业成本粘性的影响。利用 ABJ 模型，通过回归分析，从创新均衡的角度探讨了不同的人工智能智能制造方法对成本粘性的影响。样本包括 2013 年至 2021 年在中国 A 股市场上市的制造企业。研究结果表明，在这些企业中，智能制造的采用与成本粘性之间存在负相关关系。具体而言，与协作式智能制造方法相比，生产型智能制造对降低成本粘性的影响更为显著。此外，智能制造对联合均衡创新和匹配均衡创新都有积极影响。联合均衡创新与成本粘性负相关，而匹配均衡创新与成本粘性没有显著关系。研究结果表明，创新均衡在人工智能驱动的智能制造与成本粘性之间起着中介作用。总之，这项研究揭示了人工智能能力如何使智能制造流程和创新平衡动态有助于缓解制造企业面临的成本粘性问题。研究强调了采用人工智能系统提高制造业运营效率和成本管理灵活性的战略价值。
{"title":"The interplay of intelligent manufacturing, innovation equilibrium and cost stickiness in the artificial intelligence era","authors":"Fangfang Wang, Qiang Li, Hong Chen","doi":"10.1002/sres.3046","DOIUrl":"https://doi.org/10.1002/sres.3046","url":null,"abstract":"This study investigates the impact of intelligent manufacturing methods driven by artificial intelligence (AI) on cost stickiness in Chinese manufacturing enterprises. Leveraging the ABJ model， a regression analysis explores how different AI‐enabled intelligent manufacturing approaches influence cost stickiness through the lens of innovation equilibrium. The sample comprises manufacturing companies listed on China's A‐share market from 2013 to 2021. The findings reveal a negative correlation between intelligent manufacturing adoption and cost stickiness among these firms. Specifically, production‐based intelligent manufacturing exhibits a more significant effect on reducing cost stickiness compared with collaborative intelligent manufacturing methods. Moreover, intelligent manufacturing positively impacts both joint equilibrium innovation and matching equilibrium innovation. While joint equilibrium innovation is negatively associated with cost stickiness, matching equilibrium innovation shows no significant relationship with cost stickiness. The results indicate that innovation equilibrium plays a mediating role in the relationship between AI‐driven intelligent manufacturing and cost stickiness. Overall, this research sheds light on how AI capabilities enabling intelligent manufacturing processes and innovation equilibrium dynamics can help alleviate cost stickiness issues faced by manufacturing enterprises. It highlights the strategic value of adopting AI systems to enhance operational efficiency and cost management flexibility within manufacturing contexts.","PeriodicalId":47538,"journal":{"name":"SYSTEMS RESEARCH AND BEHAVIORAL SCIENCE","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141813056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Underlying a complex system is an intricate network that encodes the interactions between the system's components. Consequently, understanding of, and effective action upon, a complex system requires exploration and analysis of its underlying network. Recent published research on teaching/training social network analysis gives rise to at least four contributions of relevance to systems research. A synergistic advantage is perceptible, proportional to the methodical and deliberated incorporation of social network analysis into systems research education and training.
{"title":"A scratch below a system's surface","authors":"Ion Georgiou","doi":"10.1002/sres.3049","DOIUrl":"https://doi.org/10.1002/sres.3049","url":null,"abstract":"Underlying a complex system is an intricate network that encodes the interactions between the system's components. Consequently, understanding of, and effective action upon, a complex system requires exploration and analysis of its underlying network. Recent published research on teaching/training social network analysis gives rise to at least four contributions of relevance to systems research. A synergistic advantage is perceptible, proportional to the methodical and deliberated incorporation of social network analysis into systems research education and training.","PeriodicalId":47538,"journal":{"name":"SYSTEMS RESEARCH AND BEHAVIORAL SCIENCE","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141830751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, it is argued that the economy as a social system is a conditio sine qua non to the environmental observations of the other social systems. Economic code of payment or nonpayment pre‐code environment, observed from the other social systems (for example, politics and science). By using this approach, the paper discusses the ways in which capitalism as an economic program is interpreted by other systems most of the time as the conditio sine qua non for their own autopoiesis regarding ecological challenges.It is debated that green capitalism is a form of a functionally differentiated economic system which is made as a conditio sine qua non for the other systems observation of ecological challenges. In the time dimension, money as a medium of economic system (and payment or nonpayment) comes first, and with it, tries to determine the ways other systems can observe ecology ‐ and it is successful.
{"title":"What is a green capitalism? Insights from the social system theory","authors":"Erik Brezovec, Stefan Schweiger","doi":"10.1002/sres.3047","DOIUrl":"https://doi.org/10.1002/sres.3047","url":null,"abstract":"In this paper, it is argued that the economy as a social system is a conditio sine qua non to the environmental observations of the other social systems. Economic code of payment or nonpayment pre‐code environment, observed from the other social systems (for example, politics and science). By using this approach, the paper discusses the ways in which capitalism as an economic program is interpreted by other systems most of the time as the conditio sine qua non for their own autopoiesis regarding ecological challenges.It is debated that green capitalism is a form of a functionally differentiated economic system which is made as a conditio sine qua non for the other systems observation of ecological challenges. In the time dimension, money as a medium of economic system (and payment or nonpayment) comes first, and with it, tries to determine the ways other systems can observe ecology ‐ and it is successful.","PeriodicalId":47538,"journal":{"name":"SYSTEMS RESEARCH AND BEHAVIORAL SCIENCE","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141832040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Internet of Things (IoT) constitutes a network of physical objects, including devices and systems, capable of intercommunication both among themselves and with external systems via the Internet. Its applications span across various sectors such as manufacturing, medicine, commerce, security, forestry and agriculture. The application of IoT in agriculture involves gathering data from diverse sensors, offering timely and precise solutions. This technology facilitates the reduction of manual labour involved in tasks like animal monitoring, greenhouse management and field surveillance. Integrated sensors within the IoT framework enable the collection of data pertaining to soil, air, water, animal tracking, plant growth and other relevant metrics. Nevertheless, the swift evolution of IoT presents a susceptibility to unauthorized access and compromises in data security. To address this concern, the utilization of blockchain technology has been recommended. This paper proposes a novel IoT architecture integrated with blockchain technology to enhance data security in agricultural applications. A detailed schematic has been devised and implemented in software to illustrate this approach.
{"title":"Blockchain‐driven IoT solutions in agriculture","authors":"M. Kataev, L. Bulysheva, Alexander Krupskiy","doi":"10.1002/sres.3048","DOIUrl":"https://doi.org/10.1002/sres.3048","url":null,"abstract":"The Internet of Things (IoT) constitutes a network of physical objects, including devices and systems, capable of intercommunication both among themselves and with external systems via the Internet. Its applications span across various sectors such as manufacturing, medicine, commerce, security, forestry and agriculture. The application of IoT in agriculture involves gathering data from diverse sensors, offering timely and precise solutions. This technology facilitates the reduction of manual labour involved in tasks like animal monitoring, greenhouse management and field surveillance. Integrated sensors within the IoT framework enable the collection of data pertaining to soil, air, water, animal tracking, plant growth and other relevant metrics. Nevertheless, the swift evolution of IoT presents a susceptibility to unauthorized access and compromises in data security. To address this concern, the utilization of blockchain technology has been recommended. This paper proposes a novel IoT architecture integrated with blockchain technology to enhance data security in agricultural applications. A detailed schematic has been devised and implemented in software to illustrate this approach.","PeriodicalId":47538,"journal":{"name":"SYSTEMS RESEARCH AND BEHAVIORAL SCIENCE","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141832654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Policy design has two analytical domains, policy design‐as‐formulation and policy design‐as‐content. The latter study policies as codified and constructed output of the formulation process, which is an activity directed to the process. The analytical concept ‘structural logic’ emerged as an internal property of policy text and has been understudied, perhaps because of the lack of methods and understanding. The paper is a systems‐theoretic exploration of systems assumptions and policy designs. The paper contributes to the theoretical underpinnings of the nature of policy design (as conceptual systems) and how systems‐based assumptions can help understand structural logic by providing a locus for studying and measuring policy element interaction. Findings suggest that it is in the interactions of those elements and connections (policy statements/propositions/directives), corresponding to the causal relations in the real world wherein the effectiveness of policy designs lies (level of structure). The exploration posits that the deep structural similarities between the domains of systems are so ecologically parallel that the insights from one system allows for similarities to be exploited and transferred to understanding the other. The paper provides insights for overcoming policy design limitations and a new way for studying policy element interaction for improving its effects in policy implementation.
{"title":"A systems‐theoretical exploration for understanding and enhancing policy design: Expanding an analytical locus with implications for policy studies","authors":"Guswin de Wee, K. Asmah-Andoh, Amina Jakoet‐Salie","doi":"10.1002/sres.3044","DOIUrl":"https://doi.org/10.1002/sres.3044","url":null,"abstract":"Policy design has two analytical domains, policy design‐as‐formulation and policy design‐as‐content. The latter study policies as codified and constructed output of the formulation process, which is an activity directed to the process. The analytical concept ‘structural logic’ emerged as an internal property of policy text and has been understudied, perhaps because of the lack of methods and understanding. The paper is a systems‐theoretic exploration of systems assumptions and policy designs. The paper contributes to the theoretical underpinnings of the nature of policy design (as conceptual systems) and how systems‐based assumptions can help understand structural logic by providing a locus for studying and measuring policy element interaction. Findings suggest that it is in the interactions of those elements and connections (policy statements/propositions/directives), corresponding to the causal relations in the real world wherein the effectiveness of policy designs lies (level of structure). The exploration posits that the deep structural similarities between the domains of systems are so ecologically parallel that the insights from one system allows for similarities to be exploited and transferred to understanding the other. The paper provides insights for overcoming policy design limitations and a new way for studying policy element interaction for improving its effects in policy implementation.","PeriodicalId":47538,"journal":{"name":"SYSTEMS RESEARCH AND BEHAVIORAL SCIENCE","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141650186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Simulation‐based learning environments have been recommended by researchers as educational tools to support learning in complex domains. However, studies have evidenced that subjects may nevertheless have great difficulty understanding and managing dynamic systems, with several assertions are being made regarding the impact of employing transparent model simulations on learning and performance outcomes. This research, therefore, examines the moderating impacts of structural and behavioural debriefings, which are concentrated respectively on critical variables and relations, and on the connection between model structure, action patterns and system behaviour. We propose a series of hypotheses regarding the impact of model transparency and prior debriefing conditions on participants' performance and their comprehension of the system dynamics. Three out of the six hypotheses were validated: prior structural debriefing alongside model transparency positively impacts performance; prior behavioural debriefing, when combined with model transparency and prior structural debriefing, positively impacts both the comprehension of model dynamics and performance.
{"title":"Expanding model transparency and learning potential through structural and behavioural debriefings","authors":"Carlos Capelo, Renato Pereira, João Ferreira Dias","doi":"10.1002/sres.3045","DOIUrl":"https://doi.org/10.1002/sres.3045","url":null,"abstract":"Simulation‐based learning environments have been recommended by researchers as educational tools to support learning in complex domains. However, studies have evidenced that subjects may nevertheless have great difficulty understanding and managing dynamic systems, with several assertions are being made regarding the impact of employing transparent model simulations on learning and performance outcomes. This research, therefore, examines the moderating impacts of structural and behavioural debriefings, which are concentrated respectively on critical variables and relations, and on the connection between model structure, action patterns and system behaviour. We propose a series of hypotheses regarding the impact of model transparency and prior debriefing conditions on participants' performance and their comprehension of the system dynamics. Three out of the six hypotheses were validated: prior structural debriefing alongside model transparency positively impacts performance; prior behavioural debriefing, when combined with model transparency and prior structural debriefing, positively impacts both the comprehension of model dynamics and performance.","PeriodicalId":47538,"journal":{"name":"SYSTEMS RESEARCH AND BEHAVIORAL SCIENCE","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141670472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To date, minimal literature is based on a systems perspective to examine the ecosystems of the industrial chain and supply chain. To fill the gap, this study has employed a systems perspective in analysing issues related to the industrial chain–supply chain ecology. The term ‘industrial chain–supply chain’ emerged recently to reflect the current global manufacturing industry structure and a prevalent global supply chain. This study clarifies the concepts of industrial chain ecosystem and supply chain ecosystem, highlighting their similarities and distinctions. Additionally, the study outlines the process of value creation within the industrial chain–supply chain ecosystem, involving innovation in research, technology, products, systems and management, leading to technological breakthroughs and enhancements. A three‐stage model for the industrial chain–supply chain ecosystem is proposed, comprising the blueprint creation stage, the core technology breakthrough stage and the iterative ecosystem upgrade stage.
{"title":"A systems perspective on the approach to industrial chain and supply chain ecology","authors":"Yu Sun, Haiqing Yu, Hecheng Wang","doi":"10.1002/sres.3041","DOIUrl":"https://doi.org/10.1002/sres.3041","url":null,"abstract":"To date, minimal literature is based on a systems perspective to examine the ecosystems of the industrial chain and supply chain. To fill the gap, this study has employed a systems perspective in analysing issues related to the industrial chain–supply chain ecology. The term ‘industrial chain–supply chain’ emerged recently to reflect the current global manufacturing industry structure and a prevalent global supply chain. This study clarifies the concepts of industrial chain ecosystem and supply chain ecosystem, highlighting their similarities and distinctions. Additionally, the study outlines the process of value creation within the industrial chain–supply chain ecosystem, involving innovation in research, technology, products, systems and management, leading to technological breakthroughs and enhancements. A three‐stage model for the industrial chain–supply chain ecosystem is proposed, comprising the blueprint creation stage, the core technology breakthrough stage and the iterative ecosystem upgrade stage.","PeriodicalId":47538,"journal":{"name":"SYSTEMS RESEARCH AND BEHAVIORAL SCIENCE","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141678851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fast fashion principles and mass production within globalised supply chains are pivotal in driving the economic success of the fashion industry, but they also contribute significantly to its severe environmental impacts, which must be mitigated. Digital textile microfactories are innovative small‐scale fully digitalised design and manufacturing systems that present a promising technological solution. These offer the companies that adopt them environmental and economic advantages. However, their widespread adoption in the industry may have unintended consequences. This study hypothesises a rebound effect within the industry and proposes a qualitative modelling approach based on causal loop diagrams. We present a model for identifying rebound mechanisms that may accelerate purchases, along with a mitigation strategy emphasising the consideration of customer behaviour. The contribution of this paper is twofold: Firstly, it provides a starting point for detailed quantitative studies, and secondly, it offers insights for policy‐making towards a sustainable transition in the industry.
{"title":"A fix that may fail: A qualitative model to explore potential rebound effects of digital textile microfactories","authors":"Juan Esteban Martínez-Jaramillo, Meike Tilebein","doi":"10.1002/sres.3043","DOIUrl":"https://doi.org/10.1002/sres.3043","url":null,"abstract":"Fast fashion principles and mass production within globalised supply chains are pivotal in driving the economic success of the fashion industry, but they also contribute significantly to its severe environmental impacts, which must be mitigated. Digital textile microfactories are innovative small‐scale fully digitalised design and manufacturing systems that present a promising technological solution. These offer the companies that adopt them environmental and economic advantages. However, their widespread adoption in the industry may have unintended consequences. This study hypothesises a rebound effect within the industry and proposes a qualitative modelling approach based on causal loop diagrams. We present a model for identifying rebound mechanisms that may accelerate purchases, along with a mitigation strategy emphasising the consideration of customer behaviour. The contribution of this paper is twofold: Firstly, it provides a starting point for detailed quantitative studies, and secondly, it offers insights for policy‐making towards a sustainable transition in the industry.","PeriodicalId":47538,"journal":{"name":"SYSTEMS RESEARCH AND BEHAVIORAL SCIENCE","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141686895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The effort to define life encompasses a wide range of disciplines, from biology and physics to spirituality. Traditionally, replies were restricted to specialized specialties, resulting in disjointed solutions. Cancer research has mostly concentrated on genetic and cellular factors. This essay aims to reframe the way we think about cancer by looking at it through the perspective of information processing. It investigates the cybernetic component of life, perceiving it as a unified system of information processing at all scales. Stem cell research reveals their complex heterogeneity and flexibility, which are critical for tissue repair and development. Initially thought to be harmful, chaotic gene expression is now acknowledged to provide cellular flexibility. Using chaos to improve adaptation contrasts with the unpredictability of evolution, showcasing the system's ability to learn and adapt. Creativity, disorder and chaos interact, opening up new avenues for new ideas. This viewpoint opposes the gene‐centric view of cancer and highlights the importance of understanding biological processes beyond genetic reductionism. The essay finishes by pushing for a paradigm change towards seeing cancer as an informational process rather than just a hereditary disease and encouraging a better knowledge of the information processing capabilities of cellular life.
{"title":"Viewing cancer as a chaotic ‘information processing system’","authors":"M. Tez","doi":"10.1002/sres.3034","DOIUrl":"https://doi.org/10.1002/sres.3034","url":null,"abstract":"The effort to define life encompasses a wide range of disciplines, from biology and physics to spirituality. Traditionally, replies were restricted to specialized specialties, resulting in disjointed solutions. Cancer research has mostly concentrated on genetic and cellular factors. This essay aims to reframe the way we think about cancer by looking at it through the perspective of information processing. It investigates the cybernetic component of life, perceiving it as a unified system of information processing at all scales. Stem cell research reveals their complex heterogeneity and flexibility, which are critical for tissue repair and development. Initially thought to be harmful, chaotic gene expression is now acknowledged to provide cellular flexibility. Using chaos to improve adaptation contrasts with the unpredictability of evolution, showcasing the system's ability to learn and adapt. Creativity, disorder and chaos interact, opening up new avenues for new ideas. This viewpoint opposes the gene‐centric view of cancer and highlights the importance of understanding biological processes beyond genetic reductionism. The essay finishes by pushing for a paradigm change towards seeing cancer as an informational process rather than just a hereditary disease and encouraging a better knowledge of the information processing capabilities of cellular life.","PeriodicalId":47538,"journal":{"name":"SYSTEMS RESEARCH AND BEHAVIORAL SCIENCE","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141340284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Many overseas‐trained teachers (OTTs) migrate to Australia in search of different lifestyles and career challenges and are encouraged to do so by the Australian government to partly address the acute teacher shortage that is labelled by some as a crisis. In their endeavour to find suitable teaching positions in public secondary schools, OTTs often confront multiple challenges. This study explores the different issues that 12 OTTs experienced after obtaining a teaching position in public secondary schools in Australia. An instrumental case study was the chosen methodology. Data were collected through 12 in‐depth semi‐structured interviews and researcher generated field notes. Systems thinking concepts are employed to identify the various systems that interact and provide the context for individual teachers in the classroom. The results indicate that participants experienced the following challenges: apparent lack of effective in‐school induction and mentoring, student behaviour management issues: pedagogical and cultural dissonance and perceived workplace harassment and discrimination. Much of the analysis and guidance for successful classroom teaching emphasises appropriate strategies that should be used by the teacher. From our analysis, we argue that these alone do not account for either success or failure in the classroom. The wider school system, family and community structures, State/Federal Education Department, regional and national economies and socio‐cultural factors all have an important role to play yet are beyond the influence of the individual teacher. The systems thinking approach offers a way forward to create effective solutions to address the problems faced by OTT and also avert a major crisis in public secondary schools. However, despite all of the challenges OTTs faced, the majority were grateful for their multiple positive and rewarding experiences in Australia.
许多接受过海外培训的教师（OTTs）移民到澳大利亚，以寻求不同的生活方式和职业挑战，澳大利亚政府也鼓励他们这样做，以部分解决被一些人称为危机的教师严重短缺问题。在努力寻找公立中学合适教职的过程中，外籍教师往往面临多重挑战。本研究探讨了 12 名 OTT 在获得澳大利亚公立中学教师职位后所经历的不同问题。本研究选择的方法是工具性案例研究。通过 12 个深入的半结构化访谈和研究人员生成的现场笔记收集数据。研究采用了系统思维的概念，以确定相互作用的各种系统，并为教师个人在课堂上的教学提供背景。结果表明，参与者经历了以下挑战：明显缺乏有效的校内入职培训和指导、学生行为管理问题、教学与文化的不协调以及工作场所的骚扰和歧视。许多关于成功课堂教学的分析和指导都强调教师应采用适当的策略。根据我们的分析，我们认为单凭这些并不能说明课堂教学的成败。更广泛的学校系统、家庭和社区结构、州/联邦教育部、地区和国家经济以及社会文化因素都发挥着重要作用，但却不是教师个人所能左右的。系统思维方法为制定有效的解决方案，解决 OTT 所面临的问题，避免公立中学出现重大危机，提供了一条前进的道路。然而，尽管 OTT 面临种种挑战，但大多数 OTT 仍对他们在澳大利亚的多种积极和有益的经历心存感激。
{"title":"Using systems thinking to understand the experiences of overseas‐trained teachers in Australia","authors":"Sushmita Datta Roy, Craig Standing","doi":"10.1002/sres.3031","DOIUrl":"https://doi.org/10.1002/sres.3031","url":null,"abstract":"Many overseas‐trained teachers (OTTs) migrate to Australia in search of different lifestyles and career challenges and are encouraged to do so by the Australian government to partly address the acute teacher shortage that is labelled by some as a crisis. In their endeavour to find suitable teaching positions in public secondary schools, OTTs often confront multiple challenges. This study explores the different issues that 12 OTTs experienced after obtaining a teaching position in public secondary schools in Australia. An instrumental case study was the chosen methodology. Data were collected through 12 in‐depth semi‐structured interviews and researcher generated field notes. Systems thinking concepts are employed to identify the various systems that interact and provide the context for individual teachers in the classroom. The results indicate that participants experienced the following challenges: apparent lack of effective in‐school induction and mentoring, student behaviour management issues: pedagogical and cultural dissonance and perceived workplace harassment and discrimination. Much of the analysis and guidance for successful classroom teaching emphasises appropriate strategies that should be used by the teacher. From our analysis, we argue that these alone do not account for either success or failure in the classroom. The wider school system, family and community structures, State/Federal Education Department, regional and national economies and socio‐cultural factors all have an important role to play yet are beyond the influence of the individual teacher. The systems thinking approach offers a way forward to create effective solutions to address the problems faced by OTT and also avert a major crisis in public secondary schools. However, despite all of the challenges OTTs faced, the majority were grateful for their multiple positive and rewarding experiences in Australia.","PeriodicalId":47538,"journal":{"name":"SYSTEMS RESEARCH AND BEHAVIORAL SCIENCE","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141342501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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