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The present research builds on three complementary theories to explore how social influence processes in interaction bring about opinion and sentiment change: expectation states theory, affect control theory, and social influence network theory.

An experimental study is used to test intersections between the theories and assess how performance expectations, affective impressions of group members, and emergent perceptions of their influence work together to generate opinion and sentiment change.

Respondent opinions shifted in the direction of group leaders’ opinions, regardless of behavioral interchange patterns. Opinion change was greater when a third group member shared the leader’s opinion. Change in affective impressions was shaped by the group leader’s opinion, the assertiveness of their behavior, and the support of a third group member. The perceived influence composition of the group predicted opinion and sentiment change, above and beyond the effects of conditional manipulations. Features of the group interaction led to inferences about status characteristics that reinforced the influence order of the group.

The chapter tests hypotheses from earlier work and explores status signals not yet tested as predictors of opinion change – behavioral interchange patterns and the degree of support for one’s ideas. In addition, it examines inferences about status characteristics following the group discussion, and influence effects on the prevailing definition of the situation.

This chapter contributes to recent integrative work that explores the relationship between performance expectations, affective impressions, and social influence. Synergistic processes forwarded by earlier research are tested, along with several newly proposed linkages.

Students with emotional and behavioral disorders are at great risk for long-term negative outcomes. Researchers and practitioners alike acknowledge the need for evidence-based, preventive, and early intervention strategies. Accordingly, in this chapter an expanded view of prevention is presented as a series of data driven decisions to guide provision of supports that lessen the impact of emotional/behavioral disorders (EBD). Universal screening, use of a multitiered framework, delivery of increasingly intensive support prior to chronic and persistent patterns of behavior, and continuity of service across school, home, and community settings are discussed. Specific techniques for data decision-making, use of a school-based team approach, and recommendations for future research are also provided.

Drawing on a case study in Hitachi City, Ibaraki prefecture, this chapter aims to analyze the relationship between community support and the behavior of residents after the Tohoku Pacific Earthquake in the regions affected by the disaster. The chapter will examine residents’ behavior and the community’s roles by way of the following process: (1) We will review Japan’s natural disaster prevention regimes; (2) we will examine the result of a field survey conducted in Hitachi City detailing the city’s natural disaster prevention procedures and the operation of some neighborhood evacuation sites; (3) the behavior of residents following the earthquake is analyzed. In this part, questionnaires were sent to 2000 households, of which 492 (24.6%) were collected and used for this analysis. The earthquake and tsunami destroyed lifelines such as water supply for several days in the city. According to the city, a total of 65 buildings were judged to be in dangerous condition, 251 as requiring care, and 478 were only partially damaged. The most serious damage was found mainly in the city’s coastal areas, where a total of 85 houses were entirely or partly damaged, and 483 houses were flooded above the floorboards by the tsunami. On March 11, a total of 69 evacuation sites opened, and 13,607 residents rushed into them. After the disaster, residents initially tried to go back to their homes. Depending on the damage done, they either stayed there or moved to a relative’s or friend’s house, or to a neighborhood evacuation site. Due to the failure of the lifelines, transportation systems, and the damage caused by the disaster, most residents had to stay within an area more limited than usual, around which they could walk or ride by bicycle. Residents had only the human and physical resources of their neighborhoods. Therefore, the characteristics of their local communities affected how residents behaved during and after the earthquake.

This study aims to analyze the herding behavior in Southeast Asian stock markets. A cross-sectional absolute deviation of the returns approach is used to identify the presence of herding. Individual stocks and market returns were employed on each stock market on a daily basis during the period of January 2008 to December 2014 from five countries selected to obtain the necessary data. The samples observed consisted of stocks having higher liquidity and larger market capitalization for each stock market. The results suggest that there is significant evidence of herding behavior found in Kuala Lumpur and Philippines Stock Exchanges. In addition, there is no evidence of herding behavior in Indonesia, Singapore, and Thailand Stock Exchanges.

The purpose of this chapter is to provide a comprehensive analysis of how sentiments may be a part of, or adjacent to, status generalization. We demonstrate why this problem is so difficult to solve definitively, as many resolutions may exist. Sentiments may present the properties of graded status characteristics but may also be disrupted by processes of the self. Sentiments may have status properties enacted within dyadic interactions. However, sentiments may also be status elements during triadic constellations of actors. Finally, we discuss current research that is underway to provide more empirical evidence to offer confirmation or disconfirmation for some of our proposed models.

We provide a synthesis of literatures, including pieces from group processes, neuroscience, psychology, and network scholarship, to address the relation between sentiment and status processes. Accordingly, this is a conceptual chapter.

We attempt to motivate future research by exploring the many complications of examining these issues.

Understanding how social inequalities may emerge during group interaction allows researchers to address their deleterious effects. Positive sentiments (in other words, “liking”) should bring actors closer together to complete tasks successfully. Ironically, when paired with negative sentiments within task groups, inequalities in group opportunities may result. To address these social inequalities, a thorough understanding of how they develop is necessary, so that efficacious interventions can be adopted.

This deep dive into the relation between sentiment and status processes joins the 25-year quest to understand the issues surrounding this relationship.

This chapter covers a diverse range of alternative methods for capturing deep major account insights online. Increasingly in the twenty first century, B2B decision-makers remain abreast of industry innovations and product information through participation in online communities. Through using social mobile technologies businesses exchange product and service experiences online amongst peers not just vendor organisations. A key aspect of this chapter shares rationale for selection of a marketing versus research community, community objectives, online techniques to gain major account insights using big data, resourcing, integration with existing marketing systems and budgeting for ongoing maintenance of marketing communities supporting B2B sales and marketing initiatives. This chapter focuses on the emerging area of B2B sales activities for creation and management of online communities for Major Account management of energy supply customers. A case-based research strategy specifically honed towards sensemaking of major account activities through using B2B online communities in conjunction with emerging research methods is outlined and critiqued.

In this chapter, the authors weave together a set of ideas that lead us closer to a more general institutional theory – one that embraces multiple levels of analysis, including the micro-level. The authors build on the roots of micro-institutional thought – including phenomenological and ethnomethodological underpinnings – as well as very active, social-psychological research areas that address key mechanisms in institutionalization. Among these, the authors discuss the important roles of legitimacy, trust, social influence, and routines. There is great promise for micro-institutional inquiry to make an integral contribution to institutional theory by bringing processes and people back in.

Organizations increasingly view their internal staff as a source of innovation and change and tend to involve an increasing number of organizational members in strategy work. This inclusion is a form of decentralized strategy and usually takes place in meetings. This chapter explores how meetings can become a planned emergence strategy for unlocking endogenous innovation potential. Data have been gathered from a still ongoing field project in which employees of six public offices such as the police or fire brigade participate. The public offices’ administration is characterized by a traditional division of responsibility, meaning that strategy has so far been the business of only few people at the top of the organization. For the first time in this organization, managers and other specialists at various organizational levels have been invited to partake in the new bottom-up strategy format Think Tank. The goals of the Think Tank are to identify the needs of the employees, to find and show potential, create a subculture and encourage innovation. The Think Tank meetings are attended by highly motivated employees who want to develop further organizational goals. The investigation illustrates that exchange on an equal basis, voluntary participation and mixed teams form the foundation for planned emergence strategy meetings. The interactions within the groups are characterized by participants having a positive attitude and avoiding negatively connoted behavior. In the strategy meetings, the various organizational members are enabled to join forces and contribute to strategic renewal. Strategic renewal is essential in a volatile, uncertain, ambiguous, and complex world. This chapter illustrates how meetings can facilitate strategic renewal through planned emergence.

Behavioral economics poses a challenge for the welfare evaluation of choices, particularly those that involve risk. It demands that we recognize that the descriptive account of behavior toward those choices might not be the ones we were all taught, and still teach, and that subjective risk perceptions might not accord with expert assessments of probabilities. In addition to these challenges, we are faced with the need to jettison naive notions of revealed preferences, according to which every choice by a subject expresses her objective function, as behavioral evidence forces us to confront pervasive inconsistencies and noise in a typical individual’s choice data. A principled account of errant choice must be built into models used for identification and estimation. These challenges demand close attention to the methodological claims often used to justify policy interventions. They also require, we argue, closer attention by economists to relevant contributions from cognitive science. We propose that a quantitative application of the “intentional stance” of Dennett provides a coherent, attractive and general approach to behavioral welfare economics.