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The purpose of this paper is to precisely measure the risk attitudes of Chinese agricultural laborers and then analyze the impact and mechanism of risk attitudes on the entrepreneurial choices of Chinese agricultural laborers.

This paper is based on the theory of expected utility function and utilizes the authoritative China Family Panel Studies (CFPS) to accurately measure the risk attitudes of 7,639 Chinese agricultural laborers through experimental methods. In the empirical analysis, this paper employed Probit, IV-Probit and mediation effect models to examine the research hypotheses.

First, agricultural laborers with the lowest risk appetite account for 54.8%, which is 8.69 times the number of agricultural laborers with the highest risk appetite. Second, agricultural laborers preferring risk are more likely to engage in entrepreneurship; this result has been validated through a series of robustness tests. Third, mechanism analysis shows that risk attitude drives the entrepreneurship of Chinese agricultural laborers through improving interpersonal trust, social interaction and formal credit behavior.

Existing research has mainly investigated the impact of risk attitudes on the entrepreneurial choices of the general population, with limited attention paid to agricultural laborers. The potential mechanisms in that process remain unclear, and the measurement results of risk attitude also require further precision. Based on experimental method, this paper not only helps clarify the relationship between risk attitudes and agricultural laborers entrepreneurship in China, but also provides policy recommendations to promote agricultural laborers entrepreneurship and drive rural development.

This paper aims to assess the links among these demand chain constructs by conducting a full-scale systematic review of all demand chain management (DCM) literature reviews published in marketing and operations management journals from 2013 to 2020. Marketing and supply chain management are central to DCM; thus, this study briefly describes the contributions to knowledge provided by the papers contained in this issue. In addition, some additional areas of research in which the DCM can be gainfully deployed are outlined.

This paper makes a systematic literature review of 70 literature samples by means of content analysis and comprehensive analysis. These approaches guarantee a replicable, rigorous and transparent research process and minimize researcher bias. The analytical categories required for the content analysis are defined along the constructs of marketing and supply chain management.

As can be expected, this paper highlights the key role of the two constructs in the strategy of DCM. In this light, the paper claims to provide evidence of a link between the constructs of marketing and supply chain management. This paper reviews the connotation of DCM through literature review, distinguishes the relationship between DCM and supply chain management from a strategic management perspective and discusses the future research direction.

This study assesses the link between the strategic constructs of marketing and supply chain management through research embedded in literature reviews, pinpointing research gaps and potential future research directions in the field. Contributing to DCM theory building, a thorough review provides qualitative comparison of the link between marketing and supply chain management.

Although some literature reviews have been conducted in the past on the constructs of DCM, no full review of literature reviews aiming to test a strategic theoretical link in the demand chain related to supply chain and marketing.

This study aims to investigate the evolution of terminology in supply chain management (SCM) and its implications for the field’s strategic orientation. It also aims to understand how SCM terms adapt to interdisciplinary contexts, reflecting shifts in theoretical and practical approaches within the discipline.

This study uses a systematic literature review and analyzes over 3,500 unique SCM-related terms extracted from approximately 33,000 abstracts. By using Descending Hierarchical Classification and factor analysis, the research methodologically identifies key shifts in terminology and discerns underlying patterns.

This study categorizes terminological variations in SCM into three main clusters: product–agent, performance objective orientation and structure. These variations signal not only linguistic changes but also strategic shifts in SCM understanding and practice. Notably, terms such as “green,” “sustainable” and “circular” supply chains have emerged in response to evolving internal and external pressures and trends. In addition, this paper offers a nuanced understanding of these terminological adaptations, proposing a reference framework for navigating SCM’s evolving lexicon and highlighting global usage and geographical and cultural nuances in SCM discourse.

This paper presents a reference framework that complements existing SCM definitions, fostering a shared understanding of SCM variations on a global scale. This framework enhances cultural sensitivity within the field and underscores SCM’s adaptability and flexibility. These insights offer a nuanced view of SCM dynamics, benefiting researchers and practitioners alike. Beyond terminology, this study sheds light on the interplay between language and SCM strategy, providing a valuable perspective for navigating the evolving SCM landscape. The study’s scope is constrained by the analyzed abstracts. Future research could broaden this analysis to encompass more SCM literature or delve deeper into the implications of terminological changes.

This study offers practitioners a reference framework for navigating the evolving lexicon of SCM. This framework aids in understanding the strategic implications of terminological changes, enhancing clarity and context in both academic and practical applications.

By acknowledging global usage and variations, the research underscores the impact of geographical and cultural nuances on SCM discourse. This global perspective enriches the understanding of SCM as a dynamic and culturally sensitive field.

This research is novel in its extensive and systematic exploration of SCM terminology. This study offers a comprehensive analysis of how language evolves in tandem with strategic shifts in the field, providing a unique perspective on the interplay between terminology and strategy in SCM.