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The socialist political economy with Chinese characteristics is a systematic economic discipline, which theoretically summarises the socialist economic system and the path of economic development with Chinese characteristics. It is a systematic economic theory of adapting Marxism to the Chinese context. The theoretical system construction for the discipline of socialist political economy with Chinese characteristics is currently a major task.

From the perspective of disciplinary cognition, the theoretical system of the discipline of socialist political economy with Chinese characteristics includes the disciplinary attributes and connotations, theoretical basis, the origin of thoughts, major principles, logical starting point, main logic and problem-based study of major theoretical and practical issues.

Developing the discipline and building the theoretical system of the socialist political economy with Chinese characteristics, several major principles should be adhered to, including building the socialist political economy with Chinese characteristics on the basis of historical materialism; building the theoretical paradigm of socialist political economy with Chinese characteristics around the analysis of production relations; adhering to the people-centred principle; taking common prosperity as the main logic of the socialist political economy with Chinese characteristics; studying the major theoretical and practical issues of building the socialism with Chinese characteristics in the new era based on problems; and reflecting the innovative development of the discipline in the textbook, The Socialist Political Economy with Chinese Characteristics.

Disciplinary cognition involves the connotations, attributes, mission and development path of the discipline, which is related to how to construct the discipline system and is a significant part of the disciplinary construction.

The paper provides a detailed historical account of Douglass C. North's early intellectual contributions and analytical developments in pursuing a Grand Theory for why some countries are rich and others poor.

The author approaches the discussion using a theoretical and historical reconstruction based on published and unpublished materials.

The systematic, continuous and profound attempt to answer the Smithian social coordination problem shaped North's journey from being a young serious Marxist to becoming one of the founders of New Institutional Economics. In the process, he was converted in the early 1950s into a rigid neoclassical economist, being one of the leaders in promoting New Economic History. The success of the cliometric revolution exposed the frailties of the movement itself, namely, the limitations of neoclassical economic theory to explain economic growth and social change. Incorporating transaction costs, the institutional framework in which property rights and contracts are measured, defined and enforced assumes a prominent role in explaining economic performance.

In the early 1970s, North adopted a naive theory of institutions and property rights still grounded in neoclassical assumptions. Institutional and organizational analysis is modeled as a social maximizing efficient equilibrium outcome. However, the increasing tension between the neoclassical theoretical apparatus and its failure to account for contrasting political and institutional structures, diverging economic paths and social change propelled the modification of its assumptions and progressive conceptual innovation. In the later 1970s and early 1980s, North abandoned the efficiency view and gradually became more critical of the objective rationality postulate. In this intellectual movement, North's avant-garde research program contributed significantly to the creation of New Institutional Economics.

Xi Jinping’s speech on the theme of “Continuously Exploring the New Zeitgeist of Marxist Political Economy in China,” dated back to November 2015, has illuminated the historical background, social roots, practical basis, basic characteristics, Zeitgeist, ideological realm and other issues relative to the development of “Systematic Economic Theory” with Chinese characteristics (hereinafter referred to as SETCC). The paper aims to discuss these issues.

Exploring the SETCC marks a fundamental postulation for the development of contemporary Chinese Marxist political economy, and an important indicator of the Chinese wisdom thereof.

Unswervingly adhering to the new development concept as the leading factor, General Secretary Xi Jinping’s elucidation of the theoretical propositions and practical topics of building a modern economic system has, starting from the five aspects of development mainline, strategic support, fundamental approach, necessary road and institutional guarantee, and their interrelationships, unfolded new connotations and opened up a new realm of Xi’s New Economic Zeitgeist with new explorations on the structure and system of SETCC.

This paper first explains the development of Xi Jinping’s economic thoughts and reveals its systematization characteristics.

Expanding the research on traditional history of economic ideology into the research on the history of economics composed of three elements – history of ideology, history of policies and events – is a new idea for researching the history of socialist political economy with Chinese characteristics. The start of the history of socialist political economy with Chinese characteristics is consistent with that of the Sinicization of Marxist political economy and can be dated from at least 1917.

The key point of the research on the history of ideologies of the socialist political economy with Chinese characteristics is to treat the relationship between theory and people properly, i.e. we should not neglect the effect brought out by the economists on theory construction while we attach importance to the theoretical contribution of the leaders and leading group of the Communist Party of China (CPC).

For the research on the history of economic policies of socialist political economy with Chinese characteristics, on the one hand, we should clarify the relationship among ideologies, strategies and policies; on the other hand, we should not evade the summarization of lessons from history.

Besides presenting the development route of socialist political economy with Chinese characteristics under competition, the research on the events in the history of socialist political economy with Chinese characteristics should also help develop the socialist political economy with Chinese characteristics.

The aim of this work is to provide a theoretical model that can help companies to develop a unique approach to achieve both corporate environmental sustainability (CES) and successful customer experience management (CEM).

A two-phase study achieved the research aim. The first phase consisted of the analysis of contemporary theoretical contributions with a focus on CES and CEM. In the second phase, taking a qualitative approach, the key dimensions identified in the initial analysis were investigated to explore the dominant perceptions of practitioners and to hone the theoretical categories.

Five innovative pathways emerged from the study to inform decision-making while maintaining the dual objectives of CES and successful CEM. These pathways are combined to offer a strategic tool for managers and for research advances. This original integrated model also offers six novel theoretical propositions that describe how to shape corporate decisions to achieve environmental sustainability in CEM.

Firms can benefit from an approach that integrates CES and CEM to develop a new mindset for an innovative and valuable decision-making process and to design more captivating experiences for customers. Nevertheless, the efficacy and generalizability of the theoretical framework and propositions require empirical testing.

This paper makes an original contribution to the environmental sustainability and marketing literature by bringing together all elements in these fields of research in a conceptual model. Moreover, this paper proposes theoretical propositions that advance knowledge of the subject and offer ideas for future research and managers.

The search for competitiveness by family-owned companies has led us to research topics that may help these companies succeed. The management of human capital is undoubtedly one of the keys to success, and the practices of employee development (training, promotion, succession, career planning, mentoring and coaching) help improve the performance of these companies.

This paper is based on studying a sample of 560 family companies and analyzing the relationship between performance of the family businesses and the use of employee development practices. The techniques used were confirmatory factor analysis and structural equation modeling.

The results show that employee development has a direct effect on the indicators of performance in family companies. The authors have developed a series of practical implications for companies that justify investments in and efforts with regard to employee career development.

Family businesses need to understand the development needs of their employees. In addition, the very processes and tasks performed. The authors have developed a number of practical implications for companies that justify the investments and efforts made in employee career development. This work validates the usefulness of the use of certain practices for the development of employees in family businesses, allowing the company to generate human capital to build a competitive position in the market.

The results of this study suggest that family businesses should understand the development needs of their employees and that various practices are available to help detect these needs. Family businesses should see individual development processes as an opportunity to improve the performance of employees, which could avoid conflicts in such businesses (Qiu and Freel, 2020). Companies should develop career and succession plans that enable these changes to be faced throughout the company, ensuring that when handover occurs, the candidates are sufficiently qualified in accordance with their career paths. The present research study shows that coaching is a powerful tool for improving performance. Moreover, mentoring appears to be an important part of employee development. For this reason, mentoring programs should be formally planned with designated objectives. In addition, family businesses should provide employees with real opportunities for promotion and the development of their skills and abilities, which is a way to retain nonfamily professionals (Ramankutty and Pujar, 2017).

Family businesses are a very important part of the productive activity of a country and their continuity is necessary to maintain employment and income. The management of people in family businesses is a key aspect for their success, therefore knowing the key aspects for the development of human capital will have a positive influence on maintaining employment and income.

This paper addresses the study of people development processes in family businesses and proves its usefulness to improve performance, considering the formal planning of succession processes and professional careers, providing qualifications to candidates and ensuring that they are show satisfaction with their professional evolution in the company. Likewise, it is positive for family businesses to use coaching relationships, formally scheduled and employing a coach from abroad. The other tool that will favor the development of employees is mentoring, formally programmed, establishing objectives and properly studying the mentor's profile. For this tool to be applied successfully, it is necessary to get the participants to commit to the mentoring process. Finally, the organization must provide its employees with real opportunities to promote, training them and developing their skills.

The purpose of this paper is to explore the internal interaction mechanism of marine scientific research and education, industrial structure upgrading and marine economic growth from a systematic perspective, based on which this work forecasts their future development trends.

In this study, a multivariate grey model is applied to the prediction of marine scientific research and education, industrial structure upgrading and marine economic growth. Considering the impact of the COVID-19 on marine development, this paper introduces the weakening buffer operator into MGM(1,m) and constructs the AWBO-MGM(1,m) model. To verify the validity and accuracy of the new model, this paper uses AWBO-MGM(1,m), MGM(1,m), GM(1,N), GM(1,1), back propagation neural network and linear regression models for simulation and prediction based on the data from 2010 to 2021, respectively.

From the theoretical perspective, the development of marine scientific research and education can accelerate industrial upgrading and promote marine economic growth by providing high-quality talents, promoting marine science and technology progress and reducing transaction costs; while the upgrading of marine industrial structure and marine economic growth can promote the development of marine scientific research and education by guiding social capital, enhancing talent demand and stimulating market vitality. From the empirical analysis, the AWBO-MGM(1,m) model can effectively deal with epidemic shocks and has higher fitting and prediction accuracy than the other five comparative models.

The government should pay attention to the construction of marine scientific research and education, so as to provide high-quality talents and advanced scientific research results for the high-quality development of marine economy. On the basis of using science and technology to firmly build the primary and secondary marine industries, the government should actively guide the labor, capital and other factors of production to the tertiary industry, thereby promoting the optimization and upgrading of marine industrial structure.

On the one hand, the interplay mechanism of marine scientific research and education, industrial structure upgrading and marine economic growth is analyzed from a systematic perspective; on the other hand, the enhanced AWBO-MGM(1,m) possesses higher forecasting performance and is applicable to the systemic multivariate forecasting problem in the presence of outstanding external shocks.

This conceptual, multi-voiced paper aims to collectively explore and theorize family entrepreneuring, which is a research stream dedicated to investigating the emergence and becoming of entrepreneurial phenomena in business families and family firms.

Because of the novelty of this research stream, the authors asked 20 scholars in entrepreneurship and family business to reflect on topics, methods and issues that should be addressed to move this field forward.

Authors highlight key challenges and point to new research directions for understanding family entrepreneuring in relation to issues such as agency, processualism and context.

This study offers a compilation of multiple perspectives and leverage recent developments in the fields of entrepreneurship and family business to advance research on family entrepreneuring.

This paper aims to investigate whether and why the base of the pyramid (BOP) actors display passive innovation resistance because of which they reject service innovations without evaluation and forfeit potential to improve their well-being. The resourceness concept, referring to the outcome of how actors appraise and integrate resources in pursuit of a purpose at hand, is used as a theoretical lens to investigate the everyday consumption behaviour of BOP households and helps to investigate how and why passive innovation resistance occurs. The outcomes of the study help address important theoretical and practical considerations for the development of successful new service concepts at the BOP.

Narrative interviews with 29 households in Zambia provide data, from which patterns in how potential resources do or do not become real are identified and related to the concept of passive innovation.

Economic, social and other factors in the BOP context clearly influence non-random patterns of resource integration which are correlated with passive innovation resistance. This can lead to service innovations being ignored and/or misunderstood prior to evaluation for adoption. This is a risk to the potential positive impact of service innovation for poverty alleviation at the BOP.

Service innovation at the BOP must begin with a deep understanding of “how” and “why” consumers typically appraise and integrate potential resources to achieve a beneficial outcome in their context. To overcome the barrier of passive innovation resistance, marketing education must stimulate an understanding of potential benefits and motivation towards the change associated with the adoption of service innovation.

The findings support more successful service innovation strategies for the BOP, which can provide vital infrastructure for the alleviation of poverty.

The application of a service-dominant logic perspective in the BOP context and the conceptual linkage between resourceness and passive innovation resistance is novel. Valuable insights are gained for service practitioners at the BOP and for further conceptual development of innovation resistance in the BOP context.

Artificial intelligence (AI) has started to receive attention in the field of digital entrepreneurship. However, few studies propose AI-based models aimed at assisting entrepreneurs in their day-to-day operations. In addition, extant models from the product design literature, while technically promising, fail to propose methods suitable for opportunity development with high level of uncertainty. This study develops and tests a predictive model that provides entrepreneurs with a digital infrastructure for automated testing. Such an approach aims at harnessing AI-based predictive technologies while keeping the ability to respond to the unexpected.

Based on effectuation theory, this study identifies an AI-based, predictive phase in the “build-measure-learn” loop of Lean startup. The predictive component, based on recommendation algorithm techniques, is integrated into a framework that considers both prediction (causal) and controlled (effectual) logics of action. The performance of the so-called active learning build-measure-predict-learn algorithm is evaluated on a data set collected from a case study.

The results show that the algorithm can predict the desirability level of newly implemented product design decisions (PDDs) in the context of a digital product. The main advantages, in addition to the prediction performance, are the ability to detect cases where predictions are likely to be less precise and an easy-to-assess indicator for product design desirability. The model is found to deal with uncertainty in a threefold way: epistemological expansion through accelerated data gathering, ontological reduction of uncertainty by revealing prior “unknown unknowns” and methodological scaffolding, as the framework accommodates both predictive (causal) and controlled (effectual) practices.

Research about using AI in entrepreneurship is still in a nascent stage. This paper can serve as a starting point for new research on predictive techniques and AI-based infrastructures aiming to support digital entrepreneurs in their day-to-day operations. This work can also encourage theoretical developments, building on effectuation and causation, to better understand Lean startup practices, especially when supported by digital infrastructures accelerating the entrepreneurial process.