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The purpose of this paper is to identify men’s clothing market segments based on store types and generational cohorts and the retail attributes.

A total of 2,808 US male consumer data from Predictive Analytics survey were analyzed with correspondence analysis (CA) (to identify segments based on store types and generations), general linear model (GLM) (to determine what retail attributes were important to target each segment) and a Rasch tree model (to test items of each factor in their relative importance).

The CA produced three segments: Segment 1 (Gen Y male consumers who frequently shop at specialty stores), Segment 2 (Gen X males who frequently shop at discount stores and online stores) and Segment 3 (Baby Boomers and Seniors who frequently shop at department stores). GLM shows that fundamentals were important to all segments; experiential was most important to Segment 1, while promotion was most important to Segment 3. Rasch tree analysis provided specific information on retail attributes for each store type and each generation.

Future research could employ both the importance and performance of retail attributes that are measured on a rating scale to understand consumers’ attitudes toward each retail format.

This study provided men’s clothing retailers with current insights into the male consumer segments based upon generational cohorts and store types from which they can better develop appropriate positioning strategies to satisfy the needs of each segment.

This study addressed the men’s clothing market, a growing but largely ignored market in the clothing industry and the retail literature.

The purpose of this paper is to investigate the relationship between personality traits and both job and career satisfaction among salespeople. The authors also wished to examine the extent to which biologically based personality traits provided insights into job and career satisfaction.

The authors used latent profile analysis (LPA) to assess a sample of 299 salespeople along the dimensions of emotional stability, extraversion, work drive, teamwork orientation, customer service orientation, optimism and both job and career satisfaction.

The findings revealed two distinct groups, and these groups were markedly different along the biologically based traits of optimism, extraversion, emotional stability and along both job and career satisfaction. The differences across these groups were especially pronounced for career satisfaction.

Our findings suggest that firms might wish to devote limited resources to improving the skill sets of salespeople with the “right” disposition, rather than attempting to train candidates to cope with the emotional and visceral aspects of sales.

The relationship between biologically based traits and job/career satisfaction has not yet been examined. Moreover, the use of LPA provides interesting insights that regression or structural equation modeling-based approaches would not.

The purpose of this paper is to examine the impact of digital platforms on the contemporary visual art market. Drawing on the theoretical insights of the technology acceptance model, the meaning transfer model and arts marketing literature, the authors conceptualise the role of user participation in creating the meaning and value of contemporary artworks in the online art market.

The authors conduct a qualitative study of Saatchi Art as an instrumental case for theorising. It is an online platform for trading visual artworks created by young and emerging artists. The data for this study were collected through direct observation and documentary reviews, as well as user comments and buyer reviews from Saatchi Art. The authors reviewed 319 buyer comments Art and 30 user comments. The collected data are supplemented with various secondary sources such as newspapers, magazines, social media texts and videos.

The growth of digital art platforms such as Saatchi Art provides efficiency and accessibility of information to users while helping them overcome the impediments of physical galleries such as geographical constraints and intimidating psychological environments, thereby attracting novice collectors. However, users’ involvement in the process of valuing artworks is limited and still guided by curatorial direction.

The first limitation of this research is that the data in this research cannot capture interactions between users, though users’ intention to use Saatchi Art is affected by the social influence of other users. Second, this research has not examined artists as users of digital art platforms and their interactions with other types of users. Artists’ intention to use the online platform might be underlined by enhancing their status in the peer group or seeking legitimacy in the field by following other artists and getting recommendations from important referents.

The outcomes of this research suggest that newcomers in the online art market should acknowledge that users’ intention to use the online art platform is determined by not only technological usefulness of the website but also the symbolic capital of the information provider.

User participation in the online art market is guided by curatorial direction rather than social influence. This confirms re-intermediation of marketing relationships, highlighting the role of new intermediaries such as digital platforms in arts marketing.

The purpose of this paper is to explore the relationship between effective knowledge management and corporate performance, to explore the dynamic symbiosis phenomenon of effective knowledge management based on organizational ecology with multinational companies (MNCs) and non-multinational companies (non-MNCs) and to explore the symbiosis strategy of knowledge management between multinational and non-multinational companies (non-MNCs) in China.

To measure effective knowledge management, this paper first uses structural equation model to measure knowledge management, based on the evolution dynamics equation in organizational ecology to measure the effectiveness of knowledge management, and studies the symbiosis of effective knowledge management between MNCs and non-MNCs based on ecological perspective.

Effective knowledge management can promote the financial performance of enterprises, but different degrees of effectiveness have different effects. In addition, the coupling and collaboration between knowledge management and corporate performance can reflect the value of effective knowledge management. The results show that effective knowledge management plays a positive moderating effect between knowledge management and corporate performance. Finally, the effective knowledge management system of MNCs (non-MNCs) has negative effect on non-MNCs (MNCs), showing the exclusive relationship between MNCs and non-MNCs in China.

The effectiveness of knowledge management is only based on the measurement of financial performance coupling. For other types of performance, it needs to be tested. The samples may not cover symbiosis relationship of effective knowledge management in other countries.

This paper provides practical and theoretical reference for confirming the symbiotic interaction and identifying the opportunities and challenges of knowledge management among different types of corporation groups.

The paper is one of the pioneering studies to explore the pattern of symbiotic evolution of effective knowledge management between MNCs and non-MNCs. From completely new perspectives, this study advances the research of knowledge management to a new and promising area.