Journal of Business Research

Study 1 contains the data for the changes in emotion (positive and negative) by tracking consumer's facial expressions when they see promotion in online channel after purchasing from offline store in different price/loyalty contexts. Study 2 contains the self-reported survey data for regret and disappointment given the same scenario as Study 1 Study 3 contains the self-reported survey data for regret and disappointment when they see promotion in offline channel after purchasing from online store in different price/loyalty contexts.

Here is our research data. To collect data, we collaborated with a national research firm, which had a long-standing reputation in marketing research services and had established many branches in major Chinese cities. The survey was run by face-to-face interviews and the interviewers were all trained according to our research objectives, which enabled the respondents have correct understanding of the survey questions and ensured a high response rate (Zhou et al. 2005). We first, using the Chinese Business Yellow Book (2015) as the sampling frame, adopted quota sampling technique to select 60 firms in each of the four cities in northeastern China (i.e. Harbin, Changchun, Shenyang and Dalian), which were evenly distributed in the three industries in each city, totally a sample of 240 firms. In particular, the sample is limited to companies engaged in wholesale. Then, managers from these firms were contacted by telephone or email in order to obtain their cooperation. To encourage their participation, the interviewers informed them of the academic purpose of the project and guaranteed the confidentiality of all responses, and promised a summary report as an incentive (Gu et al., 2008; Zhou et al., 2005). The managers were successfully interviewed by the interviewers from the local branch of the research firm. After screening and deleting questionnaires with missing data, we retained 211 usable surveys, yielding a response rate of 87.9%.

Our data are mainly from two datasets compiled by the National Bureau of Statistics of China and one dataset we compiled. Industry-related variables are from the Chinese Industrial Enterprises Database, a longitudinal micro-level database based on annual surveys of manufacturing, mining, and construction firms with at least five million yuan in annual sales. This database is the most comprehensive source of information on industrial firms and has been used by some leading academic papers (e.g., Hsieh and Klenow, 2009; Song et al., 2011) . In this study, we focus on the manufacturing sector and construct a panel dataset for 30 industries in 268 cities during 1998–2009. City-related control variables are mainly from the Statistical Bulletin for each city, China City Statistical Yearbook, and Statistical Yearbook for each province. These sources are the most comprehensive statistics on the social and economic development of Chinese prefectural cities. Statistics include, for example, GDP, government expenditure, population, employment, and education. Politician profile data are compiled from www.people.cn, XinhuaNet, and Baidu Encyclopedia . The data contain the names of the municipal party committee secretary and the mayor of 268 cities during 1998–2009. The data also contain the previous position of each secretary and mayor. The data are cross-checked with other sources to ensure quality.

List of cluster keywords and full reference data

This model is a computational agent-based laboratory, implemented in Netlogo language. The file (.nlogo extension) includes the model interface, an information guide, and the code. The model can be simulated using different configurations of model's parameters through Netlogo 5.3.1

Previous research discussed how consumers form relationships with their possessions and pursue identity goals such as approaching desired selves and self-augmentation or avoiding undesired selves and self-diminishment . However, previous research has left a gap in our understanding of consumers’ self-object relationships by neglecting to explore firstly consumers’ different attachment styles to their possessions and goods; and secondly conflicts and transitions between self-augmentation and self-diminishment in consumer-object relationships. As people use metaphors to express the self and describe their relationships and as consumers form relationships with brands because they have a tendency to anthropomorphize brands, consumers’ spontaneous metaphors of anthropomorphism, zoomorphism and dehumanization (AZD) in consumption have the potential to offer insights into consumers’ self-object relationships. Anthropomorphism is the attribution of humanlike physical or mental characteristics, emotions and intentions to inanimate objects or animals; zoomorphism the attribution of animal traits to objects or humans; dehumanization the attribution of animal or object traits to oneself or others. Hence our research question is ‘How do consumers relate to possessions and consumption goods and pursue identity goals through spontaneous AZD metaphors in consumption?’ Whereas previous studies primed and prompted AZD by focusing on consumers’ reactions to marketers’ AZD, we examined AZD metaphors which emerged spontaneously from our conversations with consumers in this phenomenological study. We identify 4 patterns that show how different attachment styles to consumer goods were combined with different types of AZD metaphors to provide different emotional benefits relating to identity goals. In addition, the paper contributes to understanding how consumers employ AZD as self-therapeutic metaphors to cope with unwanted feelings like guilt and ambivalence within identity conflicts, to approach and to feel closer to desired selves, to experience self-augmentation, and to cope with undesired selves and with self-diminishment in consumption. Moreover, in contrast to earlier research, we found that anthropomorphism can occur in relation to secure social affiliations and in order to protect interpersonal relationships and that consumers who are experiencing financial difficulties and may feel they are low in power also anthropomorphize their possessions to experience emotional benefits and they often experience their anthropomorphized possessions as desirable and not aversive. In contrast to earlier research, we also found that consumers with anthropomorphic beliefs about objects may want to replace these objects. Finally, extending earlier research, we found that anthropomorphism can moderate guilt in consumption directly through the explicit delegation of responsibility to the product and indirectly by helping to reason that possessions are worthy of love and care.

Voice data associated with the article "Voice Analytics in Business Research: Conceptual Foundations, Acoustic Feature Extraction, and Applications"

This is the dataset for Disproportional Redemption Discounting manuscript.

This material gives greater detail about the stimuli used in the studies and some of the output not covered in the manuscript itself.

Python Code for Video Mining