Sabrina M. Hegner

Modeling habitual and addictive smartphone behavior

We investigate indicators of habitual and addictive smartphone behavior.Process and social related smartphone usage are strong determinants.Social stress has a positive influence, self-regulation a negative.Emotional intelligence did not have an influence.Age has a negative effect on habitual or addictive smartphone behavior. The present study investigates the role of process and social oriented smartphone usage, emotional intelligence, social stress, self-regulation, gender, and age in relation to habitual and addictive smartphone behavior. We conducted an online survey among 386 respondents. The results revealed that habitual smartphone use is an important contributor to addictive smartphone behavior. Process related smartphone use is a strong determinant for both developing habitual and addictive smartphone behavior. People who extensively use their smartphones for social purposes develop smartphone habits faster, which in turn might lead to addictive smartphone behavior. We did not find an influence of emotional intelligence on habitual or addictive smartphone behavior, while social stress positively influences addictive smartphone behavior, and a failure of self-regulation seems to cause a higher risk of addictive smartphone behavior. Finally, men experience less social stress than women, and use their smartphones less for social purposes. The result is that women have a higher chance in developing habitual or addictive smartphone behavior. Age negatively affects process and social usage, and social stress. There is a positive effect on self-regulation. Older people are therefore less likely to develop habitual or addictive smartphone behaviors.

More Photos From Me to Thee: Factors Influencing the Intention to Continue Sharing Personal Photos on an Online Social Networking (OSN) Site among Young Adults in the Netherlands

ABSTRACT The current study investigated the factors influencing photo sharing continuance intention of Dutch Facebook users aged 18 to 25 years old. The focus was specifically on personal photos (those that include the person sharing), as their disclosure is expected to result in privacy-related issues for the individual sharing. An online survey with 473 respondents was implemented to test the various research hypotheses and to address the question on whether or not the impact of several disclosure predictors differs between men and women. Results of structural modeling analysis (multigroup analysis) reveal that for both male and female users, self-presentation-related and communication-related benefits and habit positively influence their photo sharing continuance intention. Furthermore, descriptive social norms and competence-based trust in Facebook significantly contribute to female users’ repeat photo sharing intention.

Here’s one for the next show

Purpose – Financial constraints recently confronting performing arts organizations propel them to employ various marketing tactics to not only win new visitors but also to maintain its current clientele. Fostering a long-term relationship with clients is regarded a vital solution to a survival-related predicament these organizations face. Hence, the purpose of this paper is to investigate the impact of four marketing tactics – personalization, two-way communication, preferential treatment, and rewarding – on the dimensions of customer relationship, namely, satisfaction, trust, and commitment. Design/methodology/approach – Data to test the various research hypotheses were collected through a survey with 252 clients of a performing arts venue in a Dutch city. Structural equation modeling was used to test the hypotheses. Findings – Results reveal that extension of rewards to and maintaining a two-way communication with clients of a performing arts venue positively influence their satisfaction with, trust in,...

Expanding the Technology Acceptance Model with the Inclusion of Trust, Social Influence, and Health Valuation to Determine the Predictors of German Users’ Willingness to Continue using a Fitness App : A Structural Equation Modeling Approach

ABSTRACT According to one market research, fitness or running apps are hugely popular in Germany. Such a trend prompts the question concerning the factors influencing German users’ intention to continue using a specific fitness app. To address the research question, the expanded Technology Acceptance Model (with the addition of trust, social influence, and health valuation) was tested with 476 German users of fitness apps. Structural equation modeling results reveal that respondents’ intention to continue using a specific fitness app is predicated on three factors, namely perceived ease of use, perceived usefulness, and injunctive social norm. Trust in the app developer and descriptive social norm do not have statistically significant effects on repeat usage intention, but they (alongside perceived ease of use and descriptive social norm) both influence users’ perception of a fitness app’s usefulness. Furthermore, ease of use and both injunctive and descriptive social norms significantly contribute to users’ trust in a fitness app developer.

The Impact of Corporate Social Responsibility (CSR) Program Type, Crisis Response Strategy, and Crisis Type on Postcrisis Consumer Trust and Purchase Intention: An Extended Abstract

Organizational crisis can potentially result in negative publicity (Dean 2004), which could be damaging for organizational reputation and image (Claeys et al. 2011; Dean 2004). Additionally, organizations in crisis are bound to encounter negative external stakeholder emotions (e.g., anger), prompting external stakeholders to talk negatively about or to abandon the organization (Coombs 2007). Organizations, therefore, are pressed to adequately respond to a crisis situation by communicating with their stakeholders and influencing their views about the organization (Coombs 2007). During an organizational crisis, stakeholders and the media demand immediate, thorough, and unqualified response from an organization (Seeger et al. 2001, 2003).

Restoring Trust and Enhancing Purchase Intention After a Crisis Through a Corporate Social Responsibility Program and a Specific Response Strategy: An Abstract

Organizational crises can be extremely damaging for organizational reputation, and legitimacy is something that is widely acknowledged by both practitioners and academics. Organizations confronting a crisis of whatever nature, then, are expected to adequately deal with it in any way possible to avoid incurring the wrath of those who might be directly or indirectly affected by the crisis. While the literature on crisis communication offers an array of evidence-based strategies and approaches any organization embroiled in a crisis could employ, one also wonders whether or not an organization’s precrisis action, specifically corporate social responsibility efforts, in combination with how the organization responds to the crisis could restore customers’ trust in the organization and impact their willingness to engage in an exchange with the organization after the crisis. Additionally, it is worthwhile to investigate how crisis type (product-harm vs. moral-harm crisis) would interact with CSR program type (institutional vs. promotional CSR) and crisis response strategy (rebuild vs. diminish) influencing customer trust and postcrisis purchase intention.

Proactive Crisis Communication When Precrisis Reputation Is Rotten? The Moderating Roles of Precrisis Reputation and Crisis Type in the Relationship Between Communication Timing and Trust and Purchase Intention: An Extended Abstract

In an organizational context, scholars suggest that successful management of an organization in crisis also largely depends on how an organization acts after the crisis hits (Benoit 1997; Brown and White 2011; Coombs 2007). When something goes wrong, the organization has the option of being the first to fully admit that something with potentially harmful consequences exists (proactive communication) or that organization might wait until an external party (e.g. the media) exposes the problem and then reacts to that expose (reactive communication).