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This paper reviews the pros and cons of different parametric modeling methods, which can provide a theoretical reference for parametric reconstruction of 3D human body models for virtual fitting.

In this study, we briefly analyze the mainstream datasets of models of the human body used in the area to provide a foundation for parametric methods of such reconstruction. We then analyze and compare parametric methods of reconstruction based on their use of the following forms of input data: point cloud data, image contours, sizes of features and points representing the joints. Finally, we summarize the advantages and problems of each method as well as the current challenges to the use of parametric modeling in virtual fitting and the opportunities provided by it.

Considering the aspects of integrity and accurate of representations of the shape and posture of the body, and the efficiency of the calculation of the requisite parameters, the reconstruction method of human body by integrating orthogonal image contour morphological features, multifeature size constraints and joint point positioning can better represent human body shape, posture and personalized feature size and has higher research value.

This article obtains a research thinking for reconstructing a 3D model for virtual fitting that is based on three kinds of data, which is helpful for establishing personalized and high-precision human body models.

Sustainable development is inseparable from rational and responsible use of resources and promotion of green entrepreneurship. The contemporary green development agenda encompasses climate, economic, technical, social, cultural, and political dimensions. International efforts to greening the global development are conducted by the major economies, including China as the world’s largest consumer of energy and the biggest emitter of greenhouse gases. China is aware of its environmental problems, as well as of its part of the overall responsibility for the accomplishment of the sustainable development goals. By means of the decarbonization efforts, the latter are integrated both into the national development agenda (the concept of ecological civilization) and China’s international initiatives (the greening narrative within the Belt and Road Initiative). Over the past decade, China has made a breakthrough on the way to promoting green entrepreneurship and greening of its development (better quality of air and water, renewable energy, electric vehicles, and organic farming). On the other hand, emissions remain high, agricultural land loses productivity, and freshwater resources degrade due to climate change. In conventional industries (oil, coal mining, and electric and thermal energy), decarbonization faces an array of impediments. In this chapter, the authors summarize fundamental provisions of China’s approach to building an ecological civilization and measures to reduce emissions and achieve the carbon neutrality status within the nearest decades. The analysis of obstacles to the decarbonization of the economy and possible prospects for the development of green entrepreneurship summarizes China’s practices for possible use in other countries.

This paper examines long-run consumption based asset pricing models by studying sixteen Fama-French size and book-to-market portfolios in KRX (Korea Exchange) as test assets. In our empirical implementation, we follow both models of Hansen, Heaton and Li (2008) and Parker and Julliard (2005).

Hansen, Heaton and Li (2008) used recursive utility framework. The stochastic discount factor for this model depends on the present value of expectations about future consumption growth rates. In the empirical specification for this model, we follow Malloy, Moskowiz and Vissing-Jørgensen (2008). Meanwhile, Parker and Julliard (2005) proposed a model based upon the power utility framework and explicitly considers the consumption adjustment period.

Our main results are surprisingly consistent with the results of existing literatures. By assessing both of these models, we find that the significance of the excess returns of the test assets in predicting consumption growth peaks at the horizon of 2.5 years.

These empirical results partly proves the existence of long-run consumption risk in Korean economy. We can relate stock returns to long-run consumption risk and business cycle. Specifically, the stochastic discount factor of Parker and Julliard’s model captures the financial crises in the years of 1997 and 2003. Moreover, it catches the business cycle pattern of composite leading index in Korea.

This case study discusses the importance of studying buyer and seller interactions, as they are relevant to understand how relationships evolve. It further presents a conceptual foundation for investigating B2B interactions, particularly in the context of the trade fair. The trade fair is presented as a privileged field for relationship building and development, where socialization episodes occupy a relevant role. Data were gathered through observations, interactions, and interviews, spread over a twelve-month field-study of participants at trade fairs, and their comments analyzed within a framework of relationship building. Insights revealed include the importance of innovation versus relational interactions; the informality of interactions; the opportunity for information exchange and learning; social interactions, and relationship development. The chapter concludes by considering that a relationship marketing strategy to B2B trade fair participation is vital for the effectiveness of this business activity and a challenge for exhibitors, visitors, and trade fair organizers.

The purpose of this paper is to develop a conceptual foundation for understanding business-to-business (B2B) interactions at trade fairs.

The paper reports a qualitative study that was undertaken to gain in-depth insights into the relevance of the trade fair context for business relationships. Key informants were trade fair organizers, trade fair exhibitors, trade fair visitors and experts in the field.

Based on a qualitative approach, we propose a conceptual model that allows understanding the importance of relational interactions at B2B trade fairs. The model shows that interactions and networking served through information exchange, and social interaction among participants at B2B trade fairs are vital for relationship building and development. The model also highlights the fact that trade fairs are relevant to develop a relationship marketing strategy that involves interactions and networking with a multitude of players that goes beyond the interactions between exhibitors and visitors. The model also depicts the importance of trade fairs for product innovation and for generating innovative solutions to problems. Overall, findings suggest that a customized approach will become dominant in trade fairs.

This paper’s contribution is twofold: first, to the relationship marketing literature for developing an understanding of the influence of a specific context in promoting particular interaction dynamics capable of affecting relationship development; second, to the literature on trade fairs by focusing on such context from a relationship marketing perspective.

Business research has highlighted the importance of knowledge transfer and innovation in multinational firms for better performance outcomes. However, the existing body of literature is characterized by differentiated theories, antecedents and outcomes. This study aims to address this gap by adopting a systematic approach to analyze knowledge transfer and innovation literature from the perspective of multinational organizations.

This study follows “preferred reporting items for systematic reviews and meta-analyses” (PRISMA) guidelines for conducting a systematic literature review. The study adopts a systematic approach for analyzing the literature using School of thought (S), Contexts (C), Methodologies (M), Triggers (T), Barriers (B), Facilitators (F) and Outcomes (O) framework (SCM-TBFO framework) devised for holistic literature review. The study analyzes 75 articles from reputed journals from 2000 to 2022.

In general, knowledge transfer and innovation in multinationals is a relatively new area and is evolving rapidly. There are many opportunities to study the various perspectives that are included in the SCM-TBFO framework. The key schools of thought included the evolutionary theory of innovation, institutional theory and internationalization theory. The studies had differing settings or contexts, including China, Europe, the USA and Taiwan. Further, key methodologies that were used included regression, case studies, structural equation modeling (SEM) and theoretical studies. Knowledge transfer and innovation triggers included competitive advantage, competitive pressure, constant requirements for better products and services, foreign direct investment (FDI) and globalization. Knowledge transfer and innovation facilitators were categorized into strategy-related facilitators, organization culture and orientation-related facilitators, and resource-related facilitators. Knowledge transfer and innovation barriers included autonomy, international knowledge dispersion, risk of knowledge leakage, search breadth, ambiguity and institutional voids. Key outcomes of knowledge transfer and innovation in multinationals included financial performance, innovation performance, knowledge flow, transfer effectiveness, patents and new product development.

By synthesizing the literature, the study aims to provide an overview of the current state of research on knowledge transfer and innovation in multinationals. The study develops a holistic model for fostering knowledge transfer and innovation in multinationals. The proposed novel framework can also be applied to perform a holistic assessment of the current literature in various research domains. Further, the study suggests future theory development and research agendas. The study also provides implications for practitioners using the framework to achieve more desirable outcomes.

The purpose of this paper is to examine information-seeking behavior (ISB) of strategic planners in enterprise across different work-task types and stages.

A case study was conducted in a pharmaceutical company in China, labeled as T Company. One of the authors worked in the department of strategic planning of this company as an intern. The data were collected via participant observation and unstructured in-depth interviews. Open coding was performed to analyze the data.

Four work-task stages were identified: project preparation, gathering, discovery and presentation, and strategy formulation. The results indicate that work-task types, work-task stages, and strategic planners’ work role or position affect their information needs, source selection, and seeking process. Task complexity, task familiarity, and task goal are of the most important task attributes that directly shape strategic planners’ ISB. Work role determines the extent to which strategic planners can access the information of the company. Internal information has priority, but external information is also important when internal information is not sufficient; both are equally important for strategic planning projects. Social media has been a very important channel to access, disseminate and share information. Workshops are an important approach to producing final project reports. Face-to-face discussion and information exchange play a critical role in the formulation of new strategies.

This is a case study with data collected from only one company in China. Some of the results may not be generalizable. However, it adds new knowledge to ISB research in enterprise, informs people how to provide better information services for strategic planners, and informs MBA education for students’ better information-seeking skills.

Though myriad studies on ISB, little research has been done to examine strategic planners’ ISB from a business context, especially taking into account the effect of work-task types and stages.

The purpose of this paper is to provide insights into the association between physical and virtual trade fairs under the conceptual lens of engagement platforms. The authors build on the idea of business trade fairs (i.e. physical and/or virtual customer touch points) as learning and engagement platforms in service ecosystems.

The empirical study combines qualitative interviews (n = 16) with trade fair organizers, exhibitors and visitors and a survey (n = 263) comprising open-ended questions administrated to visitors of an international trade fair.

Findings highlighted the general role that trade fairs have in facilitating companies’ interactions with existing and potential customers. The trade fair develops in physical and virtual platforms, where companies advance business relationships and generate learning experiences and customer engagement. Participants look for solutions to problems and frequently innovation is a consequence of the engagement and learning processes. Yet, while the physical trade fair is instrumental for human personal interaction, namely, to establish informal networks of contacts and face-to-face interactions, virtual trade fairs are highlighted as a catalyst to foster interactivity and connectivity before and after the physical trade fair.

The study endures limitations that may be addressed by future research. For example, studies in similar contexts and in other settings (e.g. different industries) are warranted.

The study offers wide-ranging implications for the principal agents from the trade fair industry: trade fair organizers, exhibitors and visitors.

This research constitutes a preliminary attempt to understand the association between physical and virtual trade fairs and contributes to the discourses on customer engagement and the underlying notion of service ecosystems in the trade fair environment. In particular, the study looks at the role and connections that each platform plays for organizers and participants providing important insights into improving physical and virtual trade fair participation strategies.

Trust is an important element for healthy human relationships, and it has notable implications for organizations and stakeholder groups. This chapter explains how trust can promote effective communication and cooperation. It highlights the role of trust in human relationships as a solution to modern-day socioecological challenges especially as they relate to corporate interactions. Building genuine human connections within the context of changing social landscapes and busier life schedules are essential to counteract the rising loneliness epidemic. The absence of trust may be a barrier to genuine human communication and connection. The absence of trust may be a barrier to genuine human communication and connection, however the presence of pro- social norms can contribute to building and maintaining trust between people. Cooperation and social trust increases subjective well-being and happiness. In an organizational context, trust-based cooperation between stakeholders can create strong relationships.

This chapter argues that trust nurtures face-to-face social interactions and can be strengthened through social and emotional competencies and the creation of policies that support the notions of community and belongingness in the corporate landscape.