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The purpose of this work is to construct a grey entropy comprehensive evaluation model to measure the regional green innovation vitality (GIV) of 31 provinces in China.

The traditional grey relational proximity and grey relational similarity degree are integrated into the novel comprehensive grey evaluation framework. The evaluation system of regional green innovation vitality is constructed from three dimensions: economic development vitality, innovative transformation power and environmental protection efficacy. The weights of each indicator are obtained by the entropy weight method. The GIV of 31 provinces in China is measured based on provincial panel data from 2016 to 2020. The ward clustering and K-nearest-neighbor (KNN) algorithms are utilized to explore the regional green innovation discrepancies and promotion paths.

The novel grey evaluation method exhibits stronger ability to capture intrinsic patterns compared with two separate traditional grey relational models. Green innovation vitality shows obvious regional discrepancies. The Matthew effect of China's regional GIV is obvious, showing a basic trend of strong in the eastern but weak in the western areas. The comprehensive innovation vitality of economically developed provinces exhibits steady increasing trend year by year, while the innovation vitality of less developed regions shows an overall steady state of no fluctuation.

The grey entropy comprehensive relational model in this study is applied for the measurement and evaluation of regional GIV, which improves the one-sidedness of traditional grey relational analysis on the proximity or similarity among sequences. In addition, a three-dimensional evaluation system of regional GIV is constructed, which provides the practical guidance for the research of regional development strategic planning as well as promotion paths.

A comprehensive grey entropy relational model based on traditional grey incidence analysis (GIA) in terms of proximity and similarity is proposed. The three-dimensional evaluation system of China's regional GIV is constructed, which provides a new research perspective for regional innovation evaluation and expands the application scope of grey system theory.

Aim to the limitations of grey relational analysis of interval grey number, based on the generalized greyness of interval grey number, this paper tries to construct a grey angle cosine relational degree model from the perspective of proximity and similarity.

Firstly, the algorithms of the generalized greyness of interval grey number and interval grey number vector are given, and its properties are analyzed. Then, based on the grey relational theory, the grey angle cosine relational model is proposed based on the generalized greyness of interval grey number, and the relationship between the classical cosine similarity model and the grey angle cosine relational model is analyzed. Finally, the validity of the model in this paper is illustrated by the calculation examples and an application example of related factor analysis of maize yield.

The results show that the grey angle cosine relational degree model has strict theoretical basis, convenient calculation and is easy to program, which can not only fully utilize the information of interval grey numbers but also overcome the shortcomings of greyness relational degree model. The grey angle cosine relational degree is an extended form of cosine similarity degree of real numbers. The calculation examples and the related factor analysis of maize yield show that the model proposed in this paper is feasible and valid.

The research results not only further enrich the grey system theory and method but also provide a basis for the grey relational analysis of the sequences in which the interval grey numbers coexist with the real numbers.

The paper succeeds in realizing the algorithms of the generalized greyness of interval grey number and interval grey number vector, and the grey angle cosine relational degree, which provide a new method for grey relational analysis.

The purpose of this study is to discuss how ethnicity and gender influence high-tech entrepreneurship in the Cambridge cluster emphasizing homophily and how and why bridging and bonding ties are created in moving individuals from the periphery to cross the threshold into acceptance.

The authors present findings on the micro-dynamics of ethnicity and gender in high-tech entrepreneurship underpinned by homophily. The authors discuss how ethnicity and gender influence who enters and stays in high-tech entrepreneurship university spinouts. Through an entrepreneurial narrative qualitative approach, the authors explore how and why bridging and bonding ties may be created and the challenges for those at the periphery to cross the threshold into acceptance. The study adopts an entrepreneurial narrative qualitative approach using interviews with individuals associated with the Cambridge cluster.

The authors add to the entrepreneurship literature by responding to the call for multiplexity within homophily, and the research indicates that homophily strongly influences who enters and who leaves the cluster based on bridging and bonding ties. The findings address the need for more focused understanding of entrepreneurial clusters and how mechanisms can be developed to create an environment to nurture both bridging and bonding ties. It is possible for an entrepreneurial cluster to be perceived as attractive and thriving while being homophilous. Ethnic individuals and women continue to struggle to gain acceptance in the Cambridge cluster.

Interviews were conducted by one person – an ethnic minority female – for continuity of all interviews. Yet as many of the participants were not minorities, it is possible that an interviewer who was not an ethnic minority may have elicited different narratives.

The study adds to the entrepreneurship literature by focusing on multiplexity within homophily in examining the dynamics of homophily in the context of the Cambridge cluster and the significance of nurturing bridging and bonding ties. The research comments on implications for practice among three interlinked but autonomous groups: first, the individual entrepreneurs; second, the networks she/he belongs to; third, the university as both fertile ground for entrepreneurship and an educational institution where entrepreneurship education is engaged in for encouraging and supporting spinouts.

Based on a relationship marketing approach, this paper aims to study the influence of social media use on salesperson performance and its underlying mechanisms from the perspective of salespeople in B2B settings.

To test the proposed model, the authors used structural equation modeling with a sample of 196 French B2B salespeople. Moreover, to explore the moderating effect of emotional management between social media use and relationship quality, the authors used the Hayes macro PROCESS for SPSS and the Johnson–Newman’s floodlight method.

The authors confirm the direct role of social media use on salesperson performance, and its indirect role through the parallel mediation of social proximity and relationship quality. The empirical study provides evidence for the moderating effect of emotional management on the relationship between social media use and relationship quality.

Companies should promote the use of social media to increase both the sales and creative performance of salespeople. Moreover, salespeople with low to moderate abilities to manage other people’s emotions benefit strongly from the use of social media, as this directly increases their relationship with their customers.

The research complements the conceptualization of salesperson performance as a combination of sales performance and sales creativity and shows that emotional management is an asset for social media users to develop valuable business relationships.

In the context of Saudi Arabia, this chapter investigates how clustering promotes knowledge sharing and transfer in an emerging, government-directed industry cluster. It is determined that lateral actors play a key facilitating role, and formal and informal mechanisms and interpersonal links among actors support that cluster knowledge exchange. Limited social capital strength and depth and a lack of trust that prevents knowledge sharing are partially explained by the cluster's limited vertical and horizontal actors.

This chapter provides personal – co-autoethnographic – reflections on the journey of authenticity development and servant leadership through the lens of the relational proximity framework. The authors look back on their combined 90 years of experience working in three areas: the creation of jobs and livelihoods; peace and reconciliation; and the environment and the development of a sustainable economy. Lefroy and Woollcombe maintain that young people should be introduced to the principles of servant leadership early and throughout their education as part of their empowerment and confidence-building processes and suggest three avenues for research: servant leadership in practice, innovative curriculum development and work relationship measurement.

The research presented in this paper has been conducted to understand the impact of advanced-servitized-products on the longitudinal sales performance of manufacturing companies across international markets. The research strives to understand how the onsite presence leverages this impact.

To reach this objective, an empirical sample of more than 4,000 sales transactions covering the period 2010–2019 in 74 foreign markets was collected from a single high-tech manufacturer producing and selling servitized solutions. The authors use a time fixed-effects model to test the authors' theoretically deduced hypotheses.

The authors' find the proportion of advanced-servitized products to positively impact sales performance over time and that this relation is moderated by the choice of international distribution channel. As compared to direct exports, onsite presence and intermediaries present a positive and negative moderating effect, respectively.

The paper offers a rare look into the international sales performance of advance-servitized-products. This paper does so using a service-dominant logic, which is still scarcely used within the servitization literature, despite the logic's adequacy for the study of the market behavior of service-augmented products.

Stigma remains to be a major barrier to addressing the sustained rise of human immunodeficiency virus (HIV) infections in the Philippines. Gay, bisexual, and other men who have sex with other men (MSMs) (G/B/MSM) living with HIV experience compounded stigma due to their sexual identity and HIV seropositive status. The family has been identified as one of the main sources of homonegativity and HIV-related discrimination. Drawing from the family life histories of 31 Filipino MSMs living with HIV, the authors demonstrate the concept of compounding stigma, which posits that the extent and nature of gender- and sexuality-based stigma experienced in early life may potentiate or mitigate the experience of HIV stigma in later life in the context of the family. Narrative analysis of the family life histories reveals a central factor that shaped the sexual development and stigma experiences of MSMs living with HIV: sexual identity visibility in the family (SIVF) – the family’s extent of knowledge and/or acceptance of their sexuality. Three core narratives emerged from the data that categorize informants based on the type of SIVF present in their family life viz. full, partial, and invisible. Results also trace the resultant life trajectories for each core narrative and reveal three forms of compounding stigma: low compounding stigma or compounding acceptance, compounding enacted stigma, and compounding internalized stigma.