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Much of the literature in organizational change has taken a single approach to explain employee expectation formation regarding the outcomes of a change event. A conceptual model is developed to integrate two existing streams of research (the information effects approach and the social effects approach) and to develop a comprehensive picture of outcome expectation formation. We propose that information and social effects function simultaneously to shape an employee's outcome expectations. The strength and content consistency of information and social effects jointly determine what people expect regarding change outcomes and how confident they feel about those expectations. Implications are discussed in terms of setting the boundaries for information and social effects as well as future research directions.

This paper aims to propose mechanisms of the dark side of interorganizational relationships from a social psychological perspective. The purpose is to understand the role of boundary spanners’ social psychological processes that may trigger the dark side effects.

Multple mechanisms are developed through three social psychological theories, namely, social identity theory, system justification theory and social learning theory.

Boundary spanners’ social psychological processes can trigger the dark side of interorganizational relationships via mechanisms such as excessive cooperation, reification, system justification and path dependence in learning.

This paper concludes with a discussion that offers a new perspective on research on dark side effects and the managerial implications of the present analysis.

This paper contributes to the current literature by extending the interpersonal social psychological processes that could explain the dark side of interorganizational relationships. This paper is a step forward to answer the calls for multilevel considerations of the dark side effects and inspire future research on the role of social psychological processes in dark side effects.

The purpose of this paper is to test empirically whether there exist spillover externalities in job satisfaction, i.e., to test whether individual-level job satisfaction is affected by the aggregate job satisfaction level in a certain labor market environment.

The authors use a linear-in-means model of social interactions in the empirical analysis. The authors develop an original strategy, motivated by the hierarchical models of social processes, to identify the parameters of interest. BHPS and WERS datasets are used to perform the estimations both at the establishment and local labor market levels.

The authors find that one standard deviation increase in aggregate job satisfaction leads to a 0.42 standard deviation increase in individual-level job satisfaction at the workplace level and a 0.15 standard deviation increase in individual-level job satisfaction at the local labor market level. In other words, the authors report that statistically significant job satisfaction spillovers exist both at the establishment level and local labor market level; and, the former being approximately three times larger than the latter.

First, this is the first paper in the literature estimating spillover effects in job satisfaction. Second, the authors show that the degree of these spillover externalities may change at different aggregation levels. Finally, motivated by the hierarchical models of social processes, the author develop an original econometric identification strategy.

The purpose of this paper is to understand the roles that social capital and real-world learning may play in enhancing the effects of university education for sustainable development (ESD) on social sustainability.

A conceptual framework that identifies the plausible effects of university ESD on social sustainability along three outcome dimensions (think-act-leverage), broadening desirable program learning outcomes and proposing enabling roles for social capital and real-world learning, is substantiated and validated through qualitative insights from a focus group. The framework serves to structure a survey to alumni of a postgraduate program in sustainability (2011–2018). Hierarchical clustering analysis is used to identify differences in perceived, sustainability-related effects of the program on direct beneficiaries and their relationship with stakeholders in their communities.

Implementation of real-world learning in partnership with organizations in the community that actively involves alumni not only extends desirable effects beyond individual program learning outcomes and outside the academia but may also renew them over time.

University administrators should foster the creation of new social capital of students and alumni and their commitment with service learning and other credit-bearing opportunities as actionable enablers to enhance the social sustainability effects of university ESD.

The paper contributes to a dual theoretical and empirical void related to the effects of university ESD on the social dimension of sustainability through the proposal of a conceptual framework and quantitative assessment of the dynamic effects of university ESD at the local level.

This paper aims to describe an integration of the media naturalness theory, the continuum model of impression formation and the social identity model of deindividuation effects. The goal is to determine the compatibility of the central tenets and propositions of the two theories and reconcile their effects under a unified model that can be used to explain and predict changes in perceptions, attitudes and behaviors arising in computer-mediated interaction.

A review of the literature was used to determine whether the two theories were compatible. The reconciliation comes by way of a third theory, the motivated tactician theory, which focuses on the effects of cognitive effort on schema use, particularly on those schemas used in social categorization processes.

It was determined that the two models of focus could be combined via the tenets of the third. The combined model is expected to provide explanatory and predictive capabilities that exceed those of the individual theories and should prove to be relevant in the study of computed-supported collaboration, in the design of collaborative environments and in the analysis of individual and group behaviors in computer-mediated communication.

The current effort describes the main effects derived from the integration and offers four propositions that describe moderating factors that are derived from each of the three theories. The main effects must be tested and validated and, given support, must be extended to determine the validity of the moderating effects predicted by the propositions. Additionally, media naturalness theory is a relatively recent addition to theories of technology and so needs further empirical support for its propositions. As to the behavioral implications, the social identity model of deindividuation effects has yet to be tested with the specific intention of discovering how media characteristics affect self-concept.

The model can be used to inform information system designs that favor desirable behavioral outcomes or to prevent undesirable effects from occurring. For example, emphasis can place on media attributes and system features that individuate decision-makers within group decision support environments when consensus is a primary goal as a means to avoid group thinks and polarization. Conversely, attributes and features that are supportive of social categorization processes and deindividuation effects might be used to emphasize group membership, shared effort and to minimize social loafing or the frequency and intensity of inappropriate disparagement of ideas and contributions.

The combined model is principally useful in explaining and predicting human behavior in relation to computer-supported collaborative work such as distributed workgroups and online learning environments. For example, the explanatory elements of the combined theory can be used by managers as a diagnostic tool in problem situations within virtual teams. A specific instance would be to determine why a change to existing systems created a change in work habits. In a more proactive move, managers might use the predicted social categorization effects and subsequent depersonalization, to instill a group identity in an otherwise diverse workgroup.

The combined model is expected to provide explanatory and predictive capabilities that exceed those of the individual theories and should prove to be relevant in the study of computed-supported collaboration, in the design of collaborative environments and in the analysis of individual and group behaviors in computer-mediated communication.

This paper aims to study low adoption of modern technology for pearl millet in Rajasthan, India, from the perspective of social networks. The state has the lowest adoption of modern pearl millet seeds among Indian states. . In particular, this paper tries to identify the limitations of channels with endogenous effects, thereby limiting large-scale adoption of modern varieties that would require social multipliers.

Defining the network/reference groups in terms of social identity and geographical proximity, this paper utilizes the intensity of interaction with different network nodes to identify the presence of endogenous effects. In particular, this paper uses the interaction of intensity of social exchange with the group level adoptions to establish the presence of endogenous effects. With adequate controls, greater intensity of interaction having a bearing on technology choice can only happen when there exists social learning (endogenous effect) and cannot be associated with other forms of social effects (namely, exogenous and correlated effects).

This paper finds evidence for the existence of endogenous social effects in adoption but largely from exclusionary channels. A comprehensively mapped network is used with its intensity to explain the extremely low rate of adoption. Only close-knit networks that, with social fragmentation, limit benefits to few, affect adoption significantly. The non-functionality of less exclusionary information sources and services can be a factor underlying low adoption.

The main limitation of the study is inability to control for unobserved individual heterogeneity because of the cross-sectional nature of data. Further, although an extensive mapping of individual networks has been done, it still cannot be guaranteed to be exhaustive.

With fragmentation, large-scale adoption programs would require networks, sources of information and services that are less exclusionary. Based on the survey data, media and non-religious organizations play a focal role here in the adoption of modern technology. This finding is extremely crucial for policy, as these channels comprise direct policy levers in a fragmented society like India. Indeed, several government programs in India have relied on these channels to run large-scale adoption programs. Their ineffectiveness could be a prime factor for such limited dissemination of technology in Rajasthan.

In different settings, social fragmentation could be an important factor determining technology adoption outcomes. The evolving consensus in the literature based on several studies is that ethnic fragmentation has potentially negative consequences on macro-economic performance (Alesina and Tabellini, 1989 and Collier, 2000). In the literature on technology adoption, the role of fractionalization is somewhat under-studied. With fragmentation, there can be significant micro-level impacts (for instance, low technology adoption of a crop) if channels that are inclusive are not well developed. The finding that channels like extension services, media or organizations are not effective in determining choice of technology does not mean that they should not be tapped. The empirical findings suggest that, in their current form in the state of Rajasthan, the roles played by these are limited. The policy implications would be to develop these systems in a way that there is a greater uptake. Recall that less than 4 per cent of the respondents got information on seeds from media sources, an extremely low number. There is certainly scope for increasing the outreach of these channels that are much more important for spread of agricultural technology in a fragmented society.

This paper is an attempt to come up with an empirical strategy to mitigate the issues related to reflection problem. In the cross-sectional data itself, we use the interaction of group choices with intensity of interaction within the group to introduce a non-linearity that tries to bypass the identification issues as in reflection problem. This method of introducing non-linearity in cross-sectional data is a novel attempt to achieve identification of endogenous effects.

Integrating conceptual perspectives from social exclusion, thinking style and context effects, this study aims to examine how different types of social exclusion influence attraction and compromise effects.

Eight studies were conducted. To establish the causal relationship between social exclusion types and context effects, this study uses experimental designs in all studies.

The attraction effect is stronger when consumers feel rejected than ignored, whereas the compromise effect is stronger when they feel ignored than rejected. Consumers who feel rejected increase their propensity to think holistically, which in turn leads to their choice preferences for asymmetrically dominant options. Conversely, those who feel ignored increase their propensity to think analytically, which in turn leads to their choice preferences for compromise options.

The findings show that consumer preferences for one option over the other alternatives in choice contexts are susceptible to subtle differences in the manner that exclusion is communicated. The studies are limited to recall tasks and scenarios that previous research has shown to be effective. Future research may use actual exclusion to corroborate this study’s findings.

Marketing practitioners may benefit from this study’s findings when it comes to an increase in the relative share of their target brand against their competitor brands by introducing a third option.

To the best of the authors’ knowledge, this research is the first to provide evidence that exclusion communicated in an explicit manner produces the attraction effect, whereas exclusion communicated in an implicit manner produces the compromise effect. Given that threatening situations often influence individuals’ preferences and choices, how social exclusion shapes cognitive processes is an empirical question worthy of investigation.

This paper aims to identify the effects of social learning and network externalities by conditioning on product quality and early sales momentum. This approach is demonstrated using film sales data.

This study used econometric modeling approach.

It was found that both social learning and network externalities have significant and comparable impacts on film choice. We show that the relative effects of network externalities and social learning in the film market are robust to different momentum and quality definitions and to alternative estimation methods.

Scholars have long argued that social learning plays a key role in new product diffusion. In some product categories, consumer choice may also be influenced by network externalities, meaning that purchasing popular products may provide the consumer utility above and beyond that derived from product usage directly. We propose a novel identification approach to help quantify the relative magnitude of these two effects on new product sales.

The purpose of this study is to explore the comparative effects of mainstream celebrities and social media influencers on consumer advocacy and relationship intentions. The study also examines the direct and serial mediation effects on those relationships.

The survey questionnaire was used to collect data from 718 respondents throughout Malaysia, with convenience and snowball sampling techniques employed. The data were analyzed based on the structural equation modeling (SEM) approach through the AMOS version 24. The PROCESS MACRO v-4.20 was applied to evaluate mediating effects in the model.

The results reveal that celebrity endorsers' involvement in social media significantly influences the uses of social media, which also impacts the attitudes and, subsequently, consumer relationship and advocacy intentions. The study found that mainstream celebrities and social media influencers effectively promote brands, and it discovered insignificant differences in their effects on the analyzed relationships.

This study has been conducted on consumers in Malaysia; it may have different effects on consumers in other countries.

Brand managers and policymakers may benefit from following the study's guidelines for making consumer relationship and advocacy intentions by celebrity endorsers and uses of social media.

The brand community can benefit from tightening their social bondage by sharing and managing crucial information from celebrities and using social media.

The study explores the effects of mainstream celebrities on consumer relationship and advocacy intentions using social media networks and managing consumer attitudes.

We present an overview of research on spillover effects within firms and introduce a classification of the literature. We divide spillovers into either technological or social in nature. In our classification, a technological spillover is one in which an agent rationally responds to a cue in the workplace that does not rely on the identity or characteristics of a coworker. Social spillovers, on the other hand, may be thought of as arising from the social preferences of an individual or social norms established in the organization.