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Three types of industrial buyer-seller relational process models are available: joining theory, stage theory, and state theory. However, historically, these models have developed based on the knowledge and cultural context of the Western world. Several researchers note that national culture may have an impact on international industrial buyer-seller relationships. Including culture in the models is highly important, especially as the business environment is increasingly more global and different countries have different business cultures. The goal of this paper is to define the most suitable industrial buyer-seller relational process models for describing relationships in various contexts. The paper includes a through literature review and a single case study in order to reach this objective. A new state theory model evolved during the research. It consists of two beginning states: searching and starting; four purely middles states: constant/static, decline, growth, and troubled; and a purely end state: termination. The state of dormant/inert is both a middle state and an end state, that is, when the relational actors are not in contact does not mean that the relationship has ended, but instead, for example, new legislation may have been implemented, which requires the actors to evaluate their relationship and its future. A relationship goes through the two beginning states in the order mentioned above, but after that, any state may occur.

Research focusing on the relation between market orientation and innovation in the Asian emerging economy is limited. The purpose of this study is to advance the extant literature by investigating the relations among market orientation, guanxi networking and innovation using the MARKOR scale.

The research conclusion is drawn based on the experience of 122 Asian emerging market firms operating in a wide variety of industrial sectors. This study explores whether the three MARKOR components (intelligence generation, dissemination and responsiveness) and their interaction with business and political guanxi have a significant effect on firms’ strategic innovation success. Innovation is measured following the practice of the OECD. In addition to the quantitative analyses, this study conducted qualitative interviews with executives of eight respondent firms, to further consolidate the subjects under investigation. The integration of both qualitative and quantitative data enriches the conclusions drawn from the study.

The findings of this study confirm that, when operating in an Asian emerging economy, both intelligence generation and responsiveness have a positive and direct impact on innovation. Though intelligence dissemination has no direct influence on innovation, its alignment with business and political guanxi still leads to a positive effect on innovation. The coalition of responsiveness and political guanxi, however, has a negative influence on innovation. The results of this study add new insights to the extant literature and provide implications for future research and marketing practices in Asian emerging economies.

The findings of this study confirm that, when operating in an Asian emerging economy, both intelligence generation and responsiveness have a positive and direct impact on innovation. Though intelligence dissemination has no direct influence on innovation, its alignment with business and political guanxi still leads to a positive effect on innovation. The coalition of responsiveness and political guanxi, however, has a negative influence on innovation. The results add new insights to the extant literature and provide implications for future research and marketing practices in Asian emerging economies.

Although the Chinese economy has experienced a strong and rapid growth due to the success of its economic reform, the Chinese central government faces a stern fiscal decline. The fiscal problem has undermined the ability of the central government in completing many crucial governing tasks. By examining the institutional root of the fiscal problem, this paper argues that the fiscal decline is part of the ironic corollary of the decentralization strategy of China’s economic reform which produces a “weak center, strong local” outcome. To fully address the problem, China should undertake major institutional reforms to redefine as well as institutionalize the fiscal roles of different levels of government.

One of the most neglected sources of energy loss is streetlights that generate too much light in areas where it is not required. Energy waste has enormous economic and environmental effects. In addition, due to the conventional manual nature of operation, streetlights are frequently seen being turned ‘ON’ during the day and ‘OFF’ in the evening, which is regrettable even in the twenty-first century. These issues require automated streetlight control in order to be resolved. This study aims to develop a novel streetlight controlling method by combining a smart transport monitoring system powered by computer vision technology with a closed circuit television (CCTV) camera that allows the light-emitting diode (LED) streetlight to automatically light up with the appropriate brightness by detecting the presence of pedestrians or vehicles and dimming the streetlight in their absence using semantic image segmentation from the CCTV video streaming. Consequently, our model distinguishes daylight and nighttime, which made it feasible to automate the process of turning the streetlight ‘ON’ and ‘OFF’ to save energy consumption costs. According to the aforementioned approach, geo-location sensor data could be utilised to make more informed streetlight management decisions. To complete the tasks, we consider training the U-net model with ResNet-34 as its backbone. Validity of the models is guaranteed with the use of assessment matrices. The suggested concept is straightforward, economical, energy-efficient, long-lasting and more resilient than conventional alternatives.

The recent growth of interests in applying the Chinese art of warfare to complement the Western style of management process suggested that an integrated business model that combined the Western scientific management and ancient Chinese wisdom could be an effective tool for gaining strategic advantages, especially for companies that want to share the newly opened markets in mainland China. Among all, Sun Tzu’s The Art of War has been widely adopted and applied in various business areas. However, there are few presentations with strategic models. Moreover, works on his successor, Sun Pin, are limited particularly to the area of applying his art of warfare in gaining strategic advantages and transforming business crisis into opportunities. While various business and quality management models at national level have been established by various countries to emphasise their differences in economic development and culture, models of similar type that make use of the ancient Chinese wisdom are not available either in Hong Kong or in China. As China has become a member of the WTO, a national model that framed both the Chinese management philosophy and Western management wisdom would certainly help in driving local and international enterprises for business competitiveness. This paper is therefore a first attempt to investigate the applicability of Sun Pin’s The Art of Warfare for business management strategies by amalgamating the Western wisdom and the Chinese art of warfare.

An infrared (IR) spectroscopic technique was used to determine the possible functional groups and chemical compounds present in commercially available ink-jet printing reactive dyes of four primary colours, i.e. Cyan, Magenta, Yellow, and Black. Although other instrumental analytical methods can help to determine the actual chemical composition of reactive dyes, the IR technique alone can still provide important structural information about the commercially available reactive dyes. Experimental results revealed that the reactive dyes under determination contained the same functional groups and chemical compounds as the reference reactive dyes.

In this chapter, the authors study how external knowledge contributes to the innovation results of firms in transition economies. Specifically, the authors distinguish between product and process innovations and identify the geographical origin of external knowledge – from the home country or from abroad. Theoretically, the authors discuss the innovation systems of transition economies and the effects of foreign and national external knowledge on product and process innovations in these under-researched contexts. Using a sample of firms from 19 countries from wave V of the Business Environment and Enterprise Surveys, the authors find that foreign and national external knowledge both contribute to the achievement of product and process innovations. However, the two types of external knowledge exert different effects depending on the innovation outcome analyzed. Firms in transition countries that incorporate foreign external knowledge are more likely to achieve product innovations than those that acquire national external knowledge. In contrast, both types of knowledge are equally useful for achieving process innovations.

The rapid digital transformation is driving businesses to reexamine their marketing plans and practices. Marketers face new conflicts while they are implementing digital marketing strategies. The main objective of this chapter is to deeply understand these conflicts and to provide appropriate solutions. This chapter addresses six digital conflicts that challenge marketers most: (1) online versus offline channel conflicts, (2) conflicts stemming from digitalization gap, (3) conflicts in influencer marketing context, (4) conflicts in artificial intelligence (AI) context, (5) environmental conflicts and digital marketing, and (6) ethical conflicts and digital marketing. Finally, we discuss conflict management strategies for the most challenging digital marketing conflicts.

Purpose: The issue of whether participation in online peer-support communities has positive or negative impacts on the psychological adjustment of cancer patients warrants further explorations from new perspectives. This research investigates the role of personality traits in moderating the impact of online participation on the psychological adjustment of cancer patients in terms of their general psychological well-being and cancer-specific well-being.

Methodology: Study participants consisted of adults diagnosed with leukemia. Questionnaires were collected from 111 participants in two leukemia-related forums in China, Baidu Leukemia Community and Bloodbbs. Information regarding the personality traits, online participation, and psychological adjustment were collected using an online questionnaire. A linear regression model was used to test the moderation effect of personality traits on the relationship between online participation and psychological adjustment.

Findings: The main effect of participation in online support communities on psychological adjustment was not statistically significant. Importantly, two personality traits (i.e., emotional stability and openness to experience) moderated the relationship between online participation and psychological adjustment to cancer. Leukemia patients with high emotional stability and high openness to experience reported better psychological adjustment as they participated more in the online community. However, this was not the case for patients with low stability and low openness, who reported worse psychological adjustment as their participation in the online support community increased.

Value: This study introduces two personality moderators into the discussion of how participation in online support communities influences the lives of cancer patients. The moderation effects help to explain why there have been contradictions in the findings of previous studies. In addition, this study adds to the current literature on online support communities as little research on this topic has been conducted outside of the US and Europe. Practically, this study not only highlights the need to evaluate the personality traits of patients who are recommended to participate in online communities, but also underlines the necessity of intervention in these communities.

One way that firms attempt to innovate is through investment in R&D activity. However, there is much heterogeneity in innovations among firms making comparable R&D investments. This article explores employee ownershipʼs moderating effect on the relationship between R&D intensity and innovative output. The basis for the moderation is that ownership increases motivation and commitment to the innovation agenda of the company, and retains employeesʼ entrepreneurial efforts for internal opportunities. Using hierarchical regression, the data support the hypothesis that employee stock ownership positively moderates the relationship between R&D intensity and innovative output. Implications for future research and practice are addressed.