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Demographic segmentation variables are cheap and easy to measure, while psychographic variables are more expensive and harder to measure, but can provide more insight into consumers’ psychology. Suggests that a prima facie case exists for the suitability of astrology as a segmentation variable with the potential to combine the measurement advantages of demographics with the psychological insights of psychographics and to create segments which are measurable, substantial, exhaustive, stable over time, and relatively accessible. Tests the premise empirically using results from a Government data set, the British General Household Survey. The analyses show that astrology does have a significant, and sometimes predictable, effect on behavior in the leisure, tobacco, and drinks markets. Discusses managerial implications of the results in terms of market segmentation and promotion.

At a recent inquest upon the body of a woman who was alleged to have died as the result of taking certain drugs for an improper purpose, one of the witnesses described himself as “an analyst and manufacturing chemist,” but when asked by the coroner what qualifications he had, he replied : “I have no qualifications whatever. What I know I learned from my father, who was a well‐known ‘F.C.S.’” Comment on the “F.C.S.” is needless.

As the application of artificial intelligence (AI) becomes more prevalent, many high-tech firms have employed AI applications to deal with emerging societal, technological and environmental challenges. Big data analytical capability (BDAC) has become increasingly important in the AI application processes. Drawing upon the resource-based view and the theory of planned behavior, this study aims to investigate how BDAC and collaboration affect new product performance (NPP). Practically, a harmonic working team is particularly important for creating management synergies, this empirical analysis demonstrates the importance of BDAC and collaboration for NPP.

This paper focuses on the performance of firms that applied AI in their operations. This study collected data from firms in Greater China, including China and Taiwan, as Greater China is currently the leading manufacturer of semiconductor, electronic and electric products for AI applications in the manufacturing process. Confirmatory factor analysis and structural equation modeling is employed for statistical analysis.

The analytical results indicate that BDAC positively relates to collaboration capability (CC) in AI applications but not to team collaboration (TC). CC positively correlates with TC, and both CC and TC positively correlate with NPP. Further, the mediating effect was examined using the Sobel t-test, which reveals that CC is a significant mediator in the influence of BDAC on NPP.

The strategic implementation of BDAC and collaboration can allow an enterprise to improve its NPP when driven by the external environment to use AI, which further enhances NPP. These processes indicate that AI and BDAC are both crucial for the success of a company’s collaboration and for effective management to improve NPP in the face of global competition.

This study introduces the concept of BDAC to explain the relationship between CC and TC, as they pertain to NPP. This study presented a discussion of the theoretical and practical implications of the research findings and could provide a framework for managing BDAC.

Eco-labeling will grow in importance as natural resources grow scarcer and environmental concerns increase. The purpose of this study considers team collaboration (TC) and integration capability (IC) to examine the possible effects of team member’s shared vision (SV) on the performance of marketing eco-labeled products.

Theoretical perspectives on SV, IC and TC were studied to evaluate the development of eco-labeled products and to improve their marketing performance. A total of 247 eco-label products were sampled; confirmatory factor analysis and structural equation modeling were used for statistical analysis.

The results demonstrate that team members’ SV is positively correlated with TC. Both TC and IC are positively correlated with the performance of eco-labeled product marketing, but SV does not correlate positively with IC. The results herein also demonstrate that TC significantly mediates the effect of SV on the performance of eco-labeled product marketing.

Firstly, this research aimed to study the effects of SV, TC and IC, particularly on the performance of marketing eco-labeled products. The analysis on other organizational performance, for example, human resource management performance or financial performance can be further studied. Secondly, further study of different products is necessary as different eco-labeled products have dissimilar product life cycle patterns. As human environmental concern grows, firms engaging in the manufacture of eco-labeling products will increase significantly and cover many different products. The analyses on different products or applications require further study to elucidate diverse management strategies.

An effective SV can rapidly clarify the goals and directions associated with eco-labeled marketing performance. Managers with high expectations of marketing performance can improve marketing performance when they clearly share eco-labeled product development objectives and directions. Proper IC and TC are also essential to the performance of eco-labeled product marketing.

This study introduces the concept of SV to explain the relationship between TC and IC as they pertain to eco-labeling product marketing. A theory of eco-labeling marketing is also presented.