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Social signal processing under affective computing aims at recognizing and extracting useful human social interaction patterns. Fight is a common social interaction in real life. A fight detection system finds wide applications. This paper aims to detect fights in a natural and low-cost manner.

Research works on fight detection are often based on visual features, demanding substantive computation and good video quality. In this paper, the authors propose an approach to detect fight events through motion analysis. Most existing works evaluated their algorithms on public data sets manifesting simulated fights, where the fights are acted out by actors. To evaluate real fights, the authors collected videos involving real fights to form a data set. Based on the two types of data sets, the authors evaluated the performance of their motion signal analysis algorithm, which was then compared with the state-of-the-art approach based on MoSIFT descriptors with Bag-of-Words mechanism, and basic motion signal analysis with Bag-of-Words.

The experimental results indicate that the proposed approach accurately detects fights in real scenarios and performs better than the MoSIFT approach.

By collecting and annotating real surveillance videos containing real fight events and augmenting with well-known data sets, the authors proposed, implemented and evaluated a low computation approach, comparing it with the state-of-the-art approach. The authors uncovered some fundamental differences between real and simulated fights and initiated a new study in discriminating real against simulated fight events, with very good performance.

The purpose of this paper is to investigate how students from Australia, Indonesia and Malaysia differ in their propensity to complain and attitudes to complaining.

A self‐administered questionnaire was designed using established scales to assess respondent reactions to a service failure by a university. The survey was completed by a sample of university students on an Australian university campus. ANOVA was used to compare differences between groups and regression was used to explore the relationship between attitudes and their complaining behaviours.

Australian students have a less positive attitude to complaining than Malaysian and Indonesian consumers. Contrary to expectations, “switching” behaviours were not revealed as a separate dimension of complaining behaviours, however switching was identified with online complaining as part of a new complaining dimension related to taking action outside of the organisation. Malaysian and Indonesian students are more likely to complain in this way. Surprisingly, Indonesian students are less likely to remain loyal to the service provider and Australian students were less likely to “voice” internally to the service provider. Having a positive attitude to complaining was positively related to taking action outside the organisation and to voicing within the organisation, while negative attitudes to complaining were positively related to remaining loyal to the service provider for Australian and Malaysian students.

The findings are limited to consumers of complex services such as University degrees. They are also limited to Indonesian, Malaysian and Australian consumers. Other service contexts, cultures and product failure situations should be investigated in the future.

This research bridges an inherent gap in the literature by exploring the complaining behavior of students in an Asia‐Pacific context. Service organisations can use the findings to better interpret and respond to complaining behavior by students from different nationalities. In particular, it helps faculty and university administrators to manage dissatisfied students from diverse national backgrounds and assists marketers to develop marketing initiatives and communication policies for the student recruitment process.

The current study aims to predict consumer complaint status (complainers or non-complainers) based on socio-demographic and psychographic factors and further to discern the differences in behavior disposition of consumer groups concerning determinants of consumer's tendency to exit (TE).

The research used survey-based data of 600 Indian consumers of three service sectors (hotel and hospitality, automobile service centers and organized retail stores). Chi-square automatic interaction detector (CHAID) decision tree analysis was used to profile consumers.

The results indicated that occupation; income; education; industry and attitude toward complaining were significant factors in profiling consumers as complainers or non-complainers. Further, determinants of TE (discouraging subjective norms, perceived likelihood of successful complaint, lower perceived switching cost, poor employee response, negative past experience and ease of complaint process) vary significantly across the groups of complainers and non-complainers.

The research questions in this study were tested with three service sectors consumers in India, so due care should be exercised in generalizing these findings to other sectors and countries. Study replication across other service sectors and countries is recommended to improve the generalizability of these findings with wider socio-demographic samples.

Firms striving for consumer retention and aim to extend their consumer life cycle can greatly benefit from the results of this study to understand the customer complaint behavior (CCB) specific to non-complaining (exit) behavior. The future researcher may benefit from replicating and extending the model in different industries for further contribution to the CCB literature.

To the best of the author's knowledge, there is no evidence of consumer segmentation based on their complaining behavior or socio-demographic and psychographic factors by employing CHAID decision tree analysis. In addition to illustrating the use of data mining techniques such as CHAID in the field of CCB, it also contributes to the extant literature by researching in a non-Western setting like India.

The current research aims to explore the possible effects of attitude towards complaining (ATC) on intention to remain loyal to hotels and to compare Chinese and American ATC in this perspective.

The sample of the study consisted of Chinese and American graduate students, who were selected through the non‐probability convenience sampling technique. A total of 1,822 questionnaires were found to be useful and data from these questionnaires were tested through SPSS and LISREL statistical software.

Findings indicate that culture clearly affects ATC and general intention to stay loyal which suggests that practitioners should consider the cultural background of their customers while designing and implementing their service recovery systems. Results show that Chinese respondents tend to forgive and forget failures, whereas Americans seek a remedy from third parties.

Only relationships between ATC and loyalty were investigated in this research; thus inclusion of other dimensions would provide further insights. Although the use of student sample and scenario is well‐justified and a common practice, future studies may consider collecting data from actual tourists. Data analyzed in this research were cross‐sectional and collected using convenience sampling; future studies may use random sampling and consider conducting longitudinal research.

There is a paucity of cross‐cultural research investigating ATC. China and America's current and potential significance in global tourism is undeniable. Moreover, they are ideal examples of their respective culture clusters; thus studying Chinese and American ATC provides significant insights for both industry practitioners and academics.

A growing body of management research is investigating how organizations can provide solutions to major social and ecological issues. Scholars suggested alternative organizations, in particular those that prioritize community and democratic decision-making, as more effective in engaging with societal challenges. The purpose of this paper is to explore cooperatives and their capacity in addressing them.

By engaging with the United Nations’ resources and the grand challenges literature in management, the authors first identified the core issues underlying each sustainable development goal. Next, the authors looked for empirical research on cooperatives that engage with those specific social and ecological issues. The authors articulated patterns as to how cooperatives address them and grouped them under five themes. The authors also articulated struggles where cooperatives fall short in fully addressing the issues at hand.

Based on the analysis, the authors identified five fundamental ways that cooperatives commit to and facilitate addressing challenges: providing economic gains for the many; facilitating access to essential resources; focusing on long-term community well-being; prioritizing ecological well-being; and promoting cooperation and partnership for justice. While most research on cooperatives illustrates these capacities, the authors also noted other studies that show struggles in various areas, most importantly in reducing inequalities.

While there is growing research on grand challenges, the literature has not paid attention to cooperatives and their capacity in tackling them. This paper comprehensively engages with four types of cooperatives and articulates how they facilitate addressing social and ecological issues. The findings contribute to organization design and grand challenges literatures as well as offer implications for broader management research.

The evolution of Knowledge-Management (KM)-related literature has highlighted that Knowledge Management Systems (KMSs) have undergone massive changes in collaborative environments. Information-Systems-enabled KM seems to be the necessary response to the recent challenges posed by globalisation and technology dynamics to both large companies (LCs) and small and medium enterprises (SMEs).

This paper provides a systematic review about KMSs to offer an analytical overview of their role in supporting innovative forms of knowledge translation occurring in collaborative relationships. A sample of 129 papers was selected and analysed according to three perspectives: unit of analysis (LCs, SMEs), phases of the KM process (adoption, translation) and topic area (KM Practices, KM Tools, KMSs).

The findings highlight five literature gaps: (1) the role of KM practices supporting knowledge translation; (2) the impact of the alignment among KM practices, firm's complexity, dimension and culture on KM process; (3) the effect of KM tools on knowledge translation; (4) the variety of KMSs exploited in both LCs and SMEs; and (5) the alignment between organisational structure and information systems in KM context. Accordingly, 13 research questions were formulated.

The proposed research questions define a formal research agenda that could steer further research efforts about the KMS topic for improving the body of knowledge in the KM field. Scientific literature is currently lacking a contribution assessing the role of KMSs in supporting innovative forms of knowledge translation that occur in collaborative relationships.

This paper aims to provide an integrative view of the conceptualizations, definitions, antecedents and taxonomies of consumer complaining behavior (CCB). Additionally, the study aims to provide an updated synthesis and classification of both legitimate and illegitimate CCB antecedents, as well as an integrated CCB taxonomy.

A multi-stage systematic search is conducted and 226 research articles relevant to the scope of the study are analyzed to fulfill the study’s objectives.

Through an exhaustive aggregation, legitimate and illegitimate CCB antecedents identified in the literature are collated and a classification schema is developed. Deficiencies observed in extant CCB taxonomies are addressed and a refined taxonomy incorporating illegitimate CCB is developed.

The conclusions drawn on the basis of this paper are contingent on the effectiveness of the keyword-based systematic search process that is used to demarcate the extant literature.

This paper suggests a three-pronged approach of differential enabling, legitimacy evaluation and differential management. This holistic perspective aims at enabling firms to design complaint management policies and systems that control fake complaints while maintaining sufficient redress opportunities for genuine dissatisfaction.

The paper proposes an identical classification schema for legitimate and illegitimate CCB antecedents and is the first broad-based attempt to develop an integrated CCB taxonomy.

The purpose of this paper is to examine the influence of parents (via family communication patterns) on teenagers’ electronic word-of-mouth (eWOM) intentions, via a serial mediation by internet usage and self-esteem, along with the moderating effect of online impression.

A conceptual model was developed based on the nature vs nurture perspective and theory of consumer socialization. Structural equation modeling was applied to investigate the interplay among proposed variables, using a sample of 797 teenage respondents in India.

The findings indicate that family communication, internet usage, and self-esteem are significant antecedents to eWOM intents of teenagers. Also, online impression is a strong moderator which influences whether teenagers would engage in eWOM activities or not.

This study presents actionable items for marketers interested in teenage consumers in an emerging economy. Marketers can benefit by tailoring their online communication to influence parent’s attitude toward the internet and to enhance online impression of teenagers to substantially increase eWOM dispersion.

This study provides original insights about how parents and individual characteristics act as antecedents and impact teenagers’ eWOM intentions including the moderating effect of online impression.