When Consumers Tune Out Advertising Messages

Tripathi, Sanjeev; Jain, Varsha; Pandey, Jatin; Merchant, Altaf; Ambika, Anupama

doi:10.2501/jar-2021-020

Cited by 8 publications

(15 citation statements)

References 60 publications

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“…Our scale follows a multidimensional conceptualization of compassion that emanates from existing literature and theory. The process of scale development and validation follows quantitative method ( Rahi, 2017 ; Tripathi et al, 2022 ), which spreads over four studies. These four studies are designed based on the best practices and recommendations in psychology and management literature for development and validation of a scale ( Hinkin, 1995 ; MacKenzie et al, 2011 ; DeVellis and Thorpe, 2021 ).…”

Section: Methodsmentioning

confidence: 99%

The development and validation of multidimensional workplace compassion scale: Linking its conceptualization and measurement

Mandliya

Pandey

2023

Front. Psychol.

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Organizational compassion is a powerful force that possesses the capability to move individuals and groups towards a common good. Research on organizational compassion or compassion in the workplace has discussed its potential to reduce individual suffering and enhance positive emotions, wellbeing, and dignity. The existing literature lacks a valid and reliable measure of workplace compassion that follows the recent conceptualization of organizational compassion. This research presents the development and validation of workplace compassion scale. The scale development process consisted of four studies with a total sample of 947 respondents. In study 1, we developed the items for the new measure, by considering the four-factor conceptualization of organizational compassion. Study 2 and 3 focuses on item purification and testing the model fit indices of the proposed scale. In study 4, we followed a time separated design to test the nomological network and discriminant validity of the workplace compassion scale. The final workplace compassion scale consists of 12 items that measure other-oriented/expressed compassion in the workplace. The scale is beneficial for providing impetus to future quantitative research in organizational compassion.

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Section: Methodsmentioning

confidence: 99%

The development and validation of multidimensional workplace compassion scale: Linking its conceptualization and measurement

Mandliya

Pandey

2023

Front. Psychol.

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“…Early works have found that disengagement involves the extent to which users withdraw and disconnect from social systems, but the works on disengagement in SC context are sparse. 19 Disengagement is explored in buyer–seller studies and may happen at the stage of the relationship. 65 The definition of disengagement will vary depending on researchers with application domains.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Extensive research has investigated the definition of engagement and its related factors, 19 , 72 , 73 but the works on the antecedents of disengagement and their effects in the social ad context are still scarce (see Table 1 ). 17 , 19 …”

Section: Literature Reviewmentioning

confidence: 99%

“… Matthes et al 18 UD is the results of negative interactions with technologies, and involves pausing or ceasing apps or taking a break from devices. Tripathi et al 19 UD involves the more willful and active withdrawal of users, and consumer skepticism positively impacts advertising disengagement. Chellasamy et al 75 No studies have thoroughly investigated the construct, antecedents and outcomes of UD.…”

Section: Literature Reviewmentioning

confidence: 99%

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Unraveling the Influential Mechanisms of Social Commerce Overloads on User Disengagement: The Buffer Effect of Guanxi

Wang¹,

Wen²,

Xue³

2023

PRBM

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Purpose Although user engagement has been paid increasing attention, the work on user disengagement is scarce, and little is understood about how overloads elicited by excessive social commerce activities affect user disengagement. Based on the stimulus-organism-response (SOR) framework and psychological reactance theory (PRT), the authors aimed to investigate the effects of social commerce overloads (SCOs) on user disengagement, its influential mechanism, and the buffer effect of guanxi. Participants and Methods The authors conducted an online survey to collect the data and then examined our theoretical model and hypotheses. This study employed SPSS 20.0 software and Amos 24.0 software to examine the hypothesized relationships and the model. Results Social commerce overloads (ie, information overload (IO), social overload (SO), and communication overload (CO)) positively impact reactance via inferences of manipulative intent (IMI) and compulsive perception (CP); IMI and CP positively influence reactance; IMI, CP, and reactance positively affect user disengagement (ie, neglecting behavior and blocking behavior); guanxi has the buffer effect on the relationship between IMI (CP) and user disengagement, negatively moderates the impacts of IMI on user disengagement (ie, neglecting behavior and blocking behavior), and negatively moderates the effects of CP on blocking behavior but not neglecting behavior. Conclusion The findings of this study contribute to the literature on PRT and user disengagement by displaying the effects of excessive social commerce activities on user disengagement and uncovering the buffer effect of guanxi, which can help social e-commerce practitioners better reduce the negative effect of social commerce overloads.

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“…To achieve the above-stated objectives, a three-phase study was conducted for data collection ( Tripathi et al, 2022 ). The data collection was done as a part of a larger study.…”

Section: Study Developmentmentioning

confidence: 99%

Workplace gaslighting: Conceptualization, development, and validation of a scale

Kukreja

Pandey

2023

Front. Psychol.

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IntroductionGaslighting is a form of abuse that has transgressed the realms of romantic relationships to the relationships at work. Despite the growing literature on abuse at work, the conceptualization and measurement of gaslighting at work have received scarce attention. The study aimed to address this existing lacuna in the literature by conceptualizing and developing a measure of gaslighting at work.MethodsBy drawing upon and integrating existing works of literature on harmful leader behaviors, workplace abuse, and workplace mistreatment, the authors have conceptualized the concept of gaslighting in a new context, i.e., work settings, and delineated its dimensions and conceptual boundaries. Among three different samples (total N = 679) of employees, the study developed a new 12-item measure of gaslighting in work relationships, the Gaslighting at Work Questionnaire (GWQ). The study further tested the psychometric properties of GWQ, namely, internal consistency, face, and construct validity of GWQ. Additionally, a time-lagged study was used to validate the scale within a nomological net of conceptual relationships.ResultsExploratory and confirmatory factor analysis supported a two-dimensional structure of gaslighting at work (trivialization and affliction). The psychometric properties of GWQ were established. Finally, using a time-lagged study, the scale was validated within a nomological net of conceptual relationships by showing the relationship of gaslighting at work with role conflict and job satisfaction.DiscussionThe GWQ scale offers new opportunities to understand and measure gaslighting behaviors of a supervisor toward their subordinates in the work context. It adds to the existing literature on harmful leader behaviors, workplace abuse, and mistreatment by highlighting the importance of identifying and measuring gaslighting at work.

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When Consumers Tune Out Advertising Messages

Cited by 8 publications

References 60 publications

The development and validation of multidimensional workplace compassion scale: Linking its conceptualization and measurement

The development and validation of multidimensional workplace compassion scale: Linking its conceptualization and measurement

Unraveling the Influential Mechanisms of Social Commerce Overloads on User Disengagement: The Buffer Effect of Guanxi

Workplace gaslighting: Conceptualization, development, and validation of a scale

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