Yanni Zhang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Yanni Zhang has a total of 14 co-authors. Here are the top co-authors by number of shared publications:
Qamar Farooq
Islamabad, Pakistan
2 shared publications- Qamar Farooq
College of Economics and Management, Zhejiang Normal University, Jinhua, China
2 shared publications Anabir Anass
Hangzhou, China
1 shared publicationAyoub Zouria
Buckinghamshire New University, High Wycombe, UK
1 shared publication- Ayoub Zouria
Directorate of External Collaborations, Buckinghamshire New University, High Wycombe, United Kingdom
1 shared publication Limin Gao
Shanghai Lixin University of Accounting and Finance
1 shared publication
Latest Publications
- 13 August 2026
- Published by SAGE Publications in Journal of Family History
Technological Change and Family Career Trajectories Across Generations: A Historical Review From Industrialization to the Age of Artificial Intelligence
Technological change has long been a central driver of transformations in work, social structure, and economic organization. While extensive scholarship has examined the effects of industrialization, mechanization, and, more recently, digitalization on labour markets, less attention has been paid to how such changes reshape family-level career trajectories across generations. Drawing on insights from family history, economic sociology, and labour economics, this paper develops an interdisciplinary review of the ways in which technological change reconfigures intergenerational occupational mobility and skill transmission within families. Situating contemporary developments in artificial intelligence (AI) within a broader historical continuum, the paper traces shifts from pre-industrial systems of occupational inheritance to modern patterns characterized by education-mediated mobility and increasingly fragmented career paths. Through a systematic synthesis of existing literature, the study highlights the evolving role of families as mediating institutions that both reproduce and transform economic opportunity over time. The paper contributes to family history research by integrating technological change into analyses of kinship, mobility, and inequality, and proposes a multi-level conceptual framework linking macro-level technological shifts to micro-level family outcomes. Implications for understanding the future of family adaptation in the age of AI are discussed.
- 13 August 2026
- Published by SAGE Publications in Journal of Family History
Technological Change and Family Career Trajectories Across Generations: A Historical Review From Industrialization to the Age of Artificial Intelligence
Technological change has long been a central driver of transformations in work, social structure, and economic organization. While extensive scholarship has examined the effects of industrialization, mechanization, and, more recently, digitalization on labour markets, less attention has been paid to how such changes reshape family-level career trajectories across generations. Drawing on insights from family history, economic sociology, and labour economics, this paper develops an interdisciplinary review of the ways in which technological change reconfigures intergenerational occupational mobility and skill transmission within families. Situating contemporary developments in artificial intelligence (AI) within a broader historical continuum, the paper traces shifts from pre-industrial systems of occupational inheritance to modern patterns characterized by education-mediated mobility and increasingly fragmented career paths. Through a systematic synthesis of existing literature, the study highlights the evolving role of families as mediating institutions that both reproduce and transform economic opportunity over time. The paper contributes to family history research by integrating technological change into analyses of kinship, mobility, and inequality, and proposes a multi-level conceptual framework linking macro-level technological shifts to micro-level family outcomes. Implications for understanding the future of family adaptation in the age of AI are discussed.
- 27 May 2026
- Published by Taylor & Francis
- p. 114-124
Responsibility and Ethics in Technology Entrepreneurship
- 27 May 2026
- Published by Taylor & Francis
- p. 114-124
Responsibility and Ethics in Technology Entrepreneurship
- 25 April 2026
- Published by SAGE Publications in Journal of Family History
- Vol. 51 (4) , 386-404
Unveiling the Nexus of Family Composition and Individual Identification: A Comparative Analysis of Family Composition Registration Systems
This paper reviews the impact of individual identification through family composition on societal and governance outcomes. Drawing on comprehensive literature and integrating insights from family systems theory, social identity theory, and social systems theory, the research provides a comparative analysis of prominent and historically important Family Composition Registration Systems (FCRSs) across eight countries. The study highlights the features of Pakistan's National Database and Registration Authority (NADRA)'s pioneering FCRS, including facilitating inheritance and succession, supporting social welfare programs, aiding disaster management, and strengthening law enforcement. Adopting a multilevel approach, the research situates FCRSs within broader societal frameworks, emphasizing both benefits and challenges. This paper contributes analytically to academic discourse, family history research, and policy discussions, offering recommendations to enhance citizen registration within family units. The findings have implications for social welfare, child protection, human rights, and crisis management, while informing the development of more inclusive FCRS and effective identity management systems worldwide.
- 25 April 2026
- Published by SAGE Publications in Journal of Family History
- Vol. 51 (4) , 386-404
Unveiling the Nexus of Family Composition and Individual Identification: A Comparative Analysis of Family Composition Registration Systems
This paper reviews the impact of individual identification through family composition on societal and governance outcomes. Drawing on comprehensive literature and integrating insights from family systems theory, social identity theory, and social systems theory, the research provides a comparative analysis of prominent and historically important Family Composition Registration Systems (FCRSs) across eight countries. The study highlights the features of Pakistan's National Database and Registration Authority (NADRA)'s pioneering FCRS, including facilitating inheritance and succession, supporting social welfare programs, aiding disaster management, and strengthening law enforcement. Adopting a multilevel approach, the research situates FCRSs within broader societal frameworks, emphasizing both benefits and challenges. This paper contributes analytically to academic discourse, family history research, and policy discussions, offering recommendations to enhance citizen registration within family units. The findings have implications for social welfare, child protection, human rights, and crisis management, while informing the development of more inclusive FCRS and effective identity management systems worldwide.
- Open Access
- 1 July 2019
- Published by SAGE Publications in Sage Open
- Vol. 9 (3)
Assessing Human Factor in the Adoption of Computer-Based Information Systems as the Internal Corporate Social Responsibility
Computerization in management information systems has thickly segregated employment and unemployment which are being discussed due to technological implementation at operational and strategic levels. In this article, we have evaluated the criticism and internal corporate social responsibility (CSR) challenges caused due to the espousal of computer-based information systems (CBIS) by the companies. Based on existing measures, a comprehensive questionnaire was designed and distributed to 120 employees of the companies having the adoption plan of CBIS. The hypothesized model of CBIS implementation intention disclosure and human factor was tested with correlation and regression analysis of the data received from 108 employees (90% response rate). Results show a positive relationship between technological trends and motivation of computer literate employees. We have established our study in the context of human capital management which is a sociobehavioral notion for meeting the internal CSR. Theoretical implications of this study have been progressively discussed simultaneously with the limitations therein. Our research has practical implications for corporate managers, human resource managers, and management information systems managers in manufacturing industries.
- 1 July 2019
- Published by SAGE Publications in Sage Open
- Vol. 9 (3)
Open AccessAssessing Human Factor in the Adoption of Computer-Based Information Systems as the Internal Corporate Social Responsibility
Computerization in management information systems has thickly segregated employment and unemployment which are being discussed due to technological implementation at operational and strategic levels. In this article, we have evaluated the criticism and internal corporate social responsibility (CSR) challenges caused due to the espousal of computer-based information systems (CBIS) by the companies. Based on existing measures, a comprehensive questionnaire was designed and distributed to 120 employees of the companies having the adoption plan of CBIS. The hypothesized model of CBIS implementation intention disclosure and human factor was tested with correlation and regression analysis of the data received from 108 employees (90% response rate). Results show a positive relationship between technological trends and motivation of computer literate employees. We have established our study in the context of human capital management which is a sociobehavioral notion for meeting the internal CSR. Theoretical implications of this study have been progressively discussed simultaneously with the limitations therein. Our research has practical implications for corporate managers, human resource managers, and management information systems managers in manufacturing industries.