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Marx suggested that it is infeasible and wrong to arrange the economic categories according to the order by which they have worked in history. Their order is determined by their interrelationship in the modern bourgeois society, which is in contrast to their natural sequence or that which is in accordance with the course of history. Sometimes, a logical sequence is precisely opposite to the historical sequence. There are many efforts to be done in the study of China’s economic and social issues with Marxist logical and historical methods. The paper aims to discuss these issues.

When reading Das Kapital, we can clearly see the historical materialism methods. Another method of Marxist political economics is the scientific abstract method.

This is based on the new development idea to carry out scientific and technological innovation and change the focus of development from quantity to quality. With regard to the supply side structural reform as the main focus, people’s ever-growing demand for a better life can be satisfied and the higher level dynamic supply–demand balance can be kept.

In fact, measures to remedy unbalanced and inadequate development of the social principal contradiction have been plainly indicated in the report delivered at the 19th National Congress of the Communist Party of China. This is based on the new development idea to carry out scientific and technological innovation and change the focus of development from quantity to quality.

This paper aims to historicise the contemporary chlorophyll trend through the first academic study of its early marketing in Sweden (1950–1953). Using multimodal critical discourse analysis, it demonstrates how brands used advertisements to convince female consumers of chlorophyll’s necessity to fulfil certain aspirational goals.

In all, 150 advertisements for chlorophyll products were collected from the Swedish Historical Newspaper Archive, as well as 600 additional advertisements for the three most popular products (toothpaste/mouthwash, sanitary towels and soap) from 1940 to 1950 and from 1954 to 1964. Then, multimodal critical discourse analysis was used to investigate how the products were marketed before, during and after the chlorophyll trend, identifying the general themes and linguistic/semiotic structures of the advertisements.

This paper shows how the commercial use of chlorophyll offered a lucrative opportunity for marketers, acting as a “tabula rasa” on which they could use discourses of science, nature, idealised femininity and luxury to draw connections with health, modernity and beauty, despite the product having no real purpose or value.

Viewing this fad from a historical perspective emphasises how brands, marketers and influencers continue to capitalise on the anxieties of female consumers with promises around beauty, hygiene and health. It, thus, offers us critical distance to reflect on contemporary claims about chlorophyll’s health benefits to make informed choices.

While the South Pacific is often cited as highly vulnerable to the impacts of climate change, there is comparatively little known about how different groups perceive climate change. Understanding the gaps and differences between risk and perceived risk is a prerequisite to designing effective and sustainable adaptation strategies.

This research examined three key groups in Samoa, Fiji and Vanuatu: secondary school teachers, media personnel, and rural subsistence livelihood-based communities that live near or in conservation areas. This study deployed a dual methodology of participatory focus groups, paired with a national mobile phone based survey to gauge perceptions of climate change. This was the first time mobile technology had been used to gather perceptual data regarding the environment in the South Pacific.

The research findings highlighted a number of important differences and similarities in ways that these groups perceive climate change issues, solutions, personal vulnerability and comprehension of science among other factors.

These differences and similarities are neglected in large-scale top-down climate change adaptation strategies and have key implications for the design of disaster risk reduction and climate change adaptation and therefore sustainable development in the region.

The research was innovative in terms of its methods, as well as its distillation of the perceptions of climate change from teachers, media and rural communities.

The purpose of this paper is to increase the understanding of how warehouse operations and design are affected by the move toward integrated omni-channels.

A structured literature review is conducted to identify and categorize themes in multi- and omni-channel logistics, and to discuss how aspects related to these themes impact and pose contingencies for warehouse operations and design.

The review revealed a lack of focus on warehouse operations and design in multi- and omni-channels. Instead, most articles published in scientific journals discuss changes in consumer demand and implications for the network level, concerning aspects such as the organization and management of material and information flows, inventory management, resources, actors and relationships. Ten themes in omni-channel logistics were identified and grouped into two categories: the value proposition and channel management; and the physical distribution network design. The themes and related aspects have implications for warehousing, and by combining these with general warehousing knowledge, the authors derive a comprehensive and structured agenda is derived to guide future research on omni-channel warehousing.

This paper outlines a research agenda, including detailed research questions, for advancing the theory on warehouse operations and design in omni-channels.

The agenda can inspire practitioners in their work to understand the upcoming challenges and address relevant issues in omni-channel warehousing, taking into consideration its interdependence with value proposition, channel management and network decisions.

This is the first comprehensive review focusing on and synthesizing available literature on omni-channel warehousing. This topic has until now received limited coverage but is of increasing importance to scholars in the field.

This paper aims to analyze the business model innovation in medium and large Brazilian manufacturing companies located in Rio do Sul State.

A holistic multiple case study in five companies was developed. Data were collected through interviews and analyzed according to the content analysis technique.

The main motivation to business model innovation was the innovation in products and services, while the difficulties were the factors relating to the cost. The most common practice among cases was innovation in value proposition and the most widely used method was learning-by-searching. While part of the theory was demonstrated in the case studies, new motivations and practices were identified. The investigation of the learning process on business models’ innovation is pioneered in this study. Further studies on this subject are required.

New business models are likely to provide new opportunities to better address customer needs, generating differentiating itself from its competitors. It is a subject little investigated in the international context, and there are no studies to investigate the experience of Brazilian companies.

The purpose of this research is to develop a better understanding of the hurdles in implementing Lean Six Sigma (LSS) for operational excellence in digital emerging technology companies.

We have conducted case studies of LSS implementations in six US-based companies in the digital emerging technology industry.

Critical success factors (CSF) for LSS implementations in digital emerging technology companies are: (1) organizational leadership that is engaged to the implementation, (2) LSS methodology that is rebranded to fit existing shared values in the organization, (3) restructuring of the traditional LSS training program to include a more incremental, prioritized, on-the-job training approach and (4) a modified LSS project execution methodology that includes (a) condensing the phases and tools applied in LSS projects and (b) adopting more iterative project management methods compared to the standard phased LSS project approach.

The qualitative nature of our analysis and the geographic coverage of our sample limit the generalizability of our findings.

Implications comprise the awareness and knowledge of critical success factors and LSS methodology modifications specifically relevant for digital emerging technology companies or companies that share similarities in terms of focus on product development, innovation and growth, such as R&D departments in high-tech manufacturing companies.

Research on industry-specific enablers for successful LSS implementation in the digital emerging technology industry is virtually absent. Our research informs practitioners on how to implement LSS in this and alike industries, and points to aspects of such implementations that are worthy of further attention from the academic community.

This technological article deals with a case study to implement an improvement to reduce the machine setup of an industrial process, in addition to the development of people using the A3 methodology for problem-solving.

As a research method, action research was used in a single-case study applied to a motorcycle production company, using the concept of the A3 report for problem-solving as the theoretical basis.

The implementation of the improvement in the process resulted in a reduction of 70.4% of the preparation time (setup) of the machines, thus eliminating the need to add a third production shift.

It has been applied to only one company, so it lacks a feasibility check to be implemented in other companies.

Regarding its practical contribution, the authors first consider that the proposed method can also be applied in small and medium-sized companies (SMEs), since the investment in this problem-solving approach is low without necessarily implementing the lean production system that, it is usually complex, time-consuming and requires the allocation of a substantial amount of resources by companies. The second practical contribution of this work is that the proposed A3 problem-solving methodology can serve as a guide for managers to implement or improve different industrial and service processes.

It has been applied to only one company, so it lacks a feasibility check to be implemented in other companies.

In light of the many crises and catastrophes faced in the modern world, policymakers frequently make claims to be ‘following the science’ or being ‘governed by the data’. Yet, conflict based on inequalities continue to fuel dissatisfaction with the decisions and actions of authorities. Research into public security may require surveillance and covert observations, all of which are subject to major ethical challenges. Any neat distinction between covert and overt research is difficult to maintain given the variety of definitions used for all the terms addressed here. Covert research may be ethically justified and is not necessarily deceptive. In any case, deception may be ethical if engaged in for the ‘right’ reasons. Modern research sites and innovative research methods may enhance opportunities for covert work. In all surveillance and covert work, care must be taken about how consent is managed, how observed subjects are protected and harm to all involved minimised in all situations.

The ancient town of Lijiang is a representative place of ethnic minorities in China’s southwest border area jointly built by many ethnic groups. Its rich and diversified history, culture and architecture as well as its artistic and spiritual values need to be better retained and explored.

The protection and inheritance of Lijiang’s cultural heritage will be improved through the construction of digital memory resources. To guide Lijiang’s digital memory construction, this study explores strategies of digital memory construction by analyzing four case studies of well-known memory projects from China and America.

From the case studies analysis, factors of digital memory construction were identified and compared. Factors led to the discussion of strategies for constructing the digital memory of Lijiang within its design, construction and service phases.

The ancient town of Lijiang is a famous historical and cultural city in China, and it is also a representative place of ethnic minorities in the border area jointly built by many ethnic groups. The rich culture should be preserved and digitalized to offer better use for the whole nation.

To construct a scientific and reasonable indicator system, it is necessary to design a set of standardized indicator primary selection and optimization inspection process. The purpose of this paper is to provide theoretical guidance and reference standards for the indicator system design process, laying a solid foundation for the application of the indicator system, by systematically exploring the expert evaluation method to optimize the index system to enhance its credibility and reliability, to improve its resolution and accuracy and reduce its objectivity and randomness.

The paper is based on system theory and statistics, and it designs the main line of “relevant theoretical analysis – identification of indicators – expert assignment and quality inspection” to achieve the design and optimization of the indicator system. First, the theoretical basis analysis, relevant factor analysis and physical process description are used to clarify the comprehensive evaluation problem and the correlation mechanism. Second, the system structure analysis, hierarchical decomposition and indicator set identification are used to complete the initial establishment of the indicator system. Third, based on expert assignment method, such as Delphi assignments, statistical analysis, t-test and non-parametric test are used to complete the expert assignment quality diagnosis of a single index, the reliability and validity test is used to perform single-index assignment correction and consistency test is used for KENDALL coordination coefficient and F-test multi-indicator expert assignment quality diagnosis.

Compared with the traditional index system construction method, the optimization process used in the study standardizes the process of index establishment, reduces subjectivity and randomness, and enhances objectivity and scientificity.

The innovation point and value of the paper are embodied in three aspects. First, the system design process of the combined indicator system, the multi-dimensional index screening and system optimization are carried out to ensure that the index system is scientific, reasonable and comprehensive. Second, the experts’ background is comprehensively evaluated. The objectivity and reliability of experts’ assignment are analyzed and improved on the basis of traditional methods. Third, aim at the quality of expert assignment, conduct t-test, non-parametric test of single index, and multi-optimal test of coordination and importance of multiple indicators, enhance experts the practicality of assignment and ensures the quality of expert assignment.