Search results

Visits to locations connected to historical atrocities, tragedy, suffering, or presumably dreadful events are referred to as “dark tourism”. While Bangladesh may not be widely known for dark tourism, several unexplored avenues may be of interest to those who engage in this type of unique and unconventional tourism experience. In addition to creating job opportunities and income generation in Bangladesh, it can achieve educational objectives, communicate with a broad audience, raise awareness of events of the past, and quench people's thirst for information, which can help them to comprehend a society. Though Bangladesh has several somber locations connected to tragic events including World War II, liberation war sites, mass killing sites, shipbreaking yards, Rohingya refugee camps, riots, and the mother language movement, traditional tourism predominates there. If managed responsibly, these varied resources, somber locations, and histories, some of which date back to 1800, could make Bangladesh a dark tourism destination. Although dark tourism in Bangladesh has the potential to contribute to historical awareness, preservation, educational opportunities, and socioeconomic development, it is yet unexplored due to a lack of knowledge, experience, policy, effective marketing, and some controversies. By approaching responsibly, Bangladesh can leverage its history to attract visitors' interests in exploring the darker aspects of the country's past. Hence, this chapter is designed to explore the status and potential significance, prospects, and challenges of dark tourism in Bangladesh. The findings will help policymakers, tourists, and other stakeholders to explore and enjoy enormous benefits from Bangladesh's untapped dark tourism opportunities.

Regret is an undesirable yet very common outcome of social networking site (SNS) use. To date, the literature has examined SNS regret at an aggregate level. The purpose of this paper is to decompose the dimensions and constituents of SNS regret into networking regret and brand page regret, to better understand it, and examine how the two facets of regret are created by SNS use intensity and gratification. The authors also decomposed SNS activities into networking activities and brand page activities and positioned them as predictors of networking regret and brand page regret, respectively.

The authors drew on uses and gratifications theory and positioned interpersonal connectivity and exhibitionism as the antecedents of networking activities as well as informational value and exhibitionism as the antecedents of brand page activities. The authors collected data from 246 Facebook users from France and analyzed the data using the partial least squares approach.

The results show that use intensity has a marginal effect on both brand page and networking regret. However, exhibitionism was found to reinforce the effect of use intensity on both brand page and networking regret. It also had a positive effect on both networking and brand page activities. The other two gratifications, interpersonal connectivity and informational value, had a positive effect on networking and brand page activities, respectively.

To date, empirical attempts at investigating decomposed SNS regret have been rare. The paper fills this theoretical and empirical gap and contributes to the literature on regret in an SNS use context.

This paper investigates the effect of household size, and in particular of the number of children of different age groups, on poverty, defined as being in a situation of low income. We apply various static and dynamic probit models to control for the endogeneity of the variables of interest and to account for unobserved heterogeneity, state dependence, and serially correlated error components. Using Luxembourg longitudinal data, we show that the number of children of different age groups significantly affects the probability of being poor. However, the magnitude of the effect varies across different specifications. In addition, we find strong evidence of true poverty persistency due to past experience, spurious poverty persistency due to individual heterogeneity, and transitory random shocks.

Employee work engagement has become a major concern for managers as hardly 21% of employees are engaged in their work. Therefore, this study aims to unveil the association between ethical leadership and employee engagement. Specifically, the study explores the mediating role of trust in leader between ethical leadership and employee work engagement and moderating role of harmonious work passion in the association between trust in leader and employee work engagement.

This study collected data from 491 employees and their immediate supervisors working in various organizations (in Pakistan) through “Google Forms”. The data were analyzed through analysis of moment structure (AMOS) and structural equation modeling (SEM) was applied to examine measurement model (for unidimensionality) and structural model (for hypotheses testing).

The study noted that ethical leaders positively influence their subordinates to engage in their work. In addition, employees' trust in leader was noted to mediate the association between ethical leadership and employee work engagement. Finally, employees high in harmonious work passion are more likely to engage in their work when perceived their leaders ethical style.

The study suggests to management that fair dealing and involvement in decision-making (ethical leadership) improve employee work engagement as such practices build employees' level of trust in their leaders. In addition, management is suggested to give freedom to employees while selecting their tasks as it positively contributes to their harmonious work passion which ultimately benefits the organization.

Drawing upon social exchange and self-determination theory, this study is the first of its kind that explored the moderating role of harmonious work passion and mediating role of trust in leader between ethical leadership and employee work engagement.

Open government data (OGD) is a comparatively new field in e-government and the factors influencing its continuance use by citizens have not been extensively explored. A better understanding of these factors can help the government to articulate strategies and policies that can advance the acceptance and use of OGD technologies. Thus, this paper aims to empirically determine the predictors influencing the continuance usage intention of OGD technologies.

Following an empirical investigation among 370 respondents in Bangladesh, a developing country, the paper applied path analysis using the structural equation modeling approach. The unified theory of acceptance and use of the technology model is integrated with the information system continuance model to investigate the continuance usage intention of OGD technologies.

The outcomes of this study reveal that performance expectancy, effort expectancy, social influence and facilitating conditions (FC) directly affect users’ satisfaction (SAT). In addition, SAT and FC were found statistically significant toward continuance usage intention of OGD technologies.

The findings of this study suggest policymaker and OGD providers to formulate or modify their strategies to retain the existing OGD users and stimulate persistence usage.

Facilitating long-term use by citizens would increase their engagement and they might derive value from the OGD platforms. Concurrently, the government’s objective of ensuring increased future use of OGD technologies would be better realized.

The novelty of this study lies in the fact that it addresses a previously overlooked area of open data research, namely, the acceptance and use of open data technologies and ways to stimulate it. This study has contributed to the existing but limited literature on continuance usage intention of OGD technologies in the context of a developing country.

Facial recognition payment (FRP) has been attracting attention as an alternative payment mode. This research aims to investigate the future use of FRP for both mobile payment and point of sale payment.

The body of information on this topic is promoted by proposing the valence framework, where the authors used relative advantage, initial trust, perceived playfulness and need for uniqueness as positive valence, and perceived risk, technophobia and perceived complexity as negative valence. This study also investigated the moderating effect of personal innovativeness on consumers' behavioral intention to use FRP-based payments. The authors collected data from 392 FRP users from China to test the model. The authors used structural equation modeling (SEM) to evaluate the significant determinants influencing FRP use.

The authors found that relative advantage and privacy risk are the two most influential predictors of FRP use. The findings indicate that personal innovativeness acts as a moderator between negative valence and behavioral intention. This study provides valuable policy guidelines for the mobile or point of sale (POS) payment companies for adding FRP service into their default payment method.

FRP is a relatively new technology that has not received much research attention in information system (IS) literature. Most studies on payment investigated enablers, and less effort has been given to study both enablers and inhibitors together. Furthermore, the authors employed SEM-based analysis to identify the most important factors influencing consumers' future use decisions.

This paper investigates the moderating role of multitasking computer self-efficacy on the relationship between social media affordances and social media overload as well as its moderation between social media overload and social media fatigue.

The authors hypothesize that social media affordances will have a positive impact on social media overload (i.e. information and communication overload). They also hypothesize that social media overload will affect social media fatigue. In addition, they hypothesize that multitasking computer self-efficacy will attenuate the effect of social media affordances on both information overload and communication overload. Similarly, they also hypothesize that multitasking computer self-efficacy will attenuate the effects of both information overload and communication overload on fatigue. The authors test this model by collecting two-wave data from 220 professionals using PLS techniques.

Social media affordances have significant impacts on information overload, but not on communication overload. In turn, information overload and communication overload significantly affect social media fatigue. Multitasking computer self-efficacy was found to attenuate the effect of social media affordances on both information overload and communication overload. Furthermore, the study results suggest that multitasking computer self-efficacy attenuates the effect of information overload and reinforces the effect of communication overload on social media fatigue.

Most prior literature focused on students rather than on professionals. There is a lack of research that investigates how the affordances of social media relate to social media overload and fatigue. Furthermore, research that investigates mitigating mechanisms of social media fatigue has been rare. This paper fills these important research gaps.

Misinformation on social media has become a great threat across the globe. Therefore, the authors aim to provide a comprehensive understanding of social media users' misinformation combating behavior, especially during the COVID-19 pandemic. Specifically, the authors merged the uses and gratifications theory, social cognitive theory and theory of prosocial behavior into one theoretical framework (e.g. information seeking, status seeking, entertainment and norms of reciprocity) to understand their effect on users' prosocial media sharing experience and misinformation self-efficacy to combat misinformation.

The authors collected data from 356 social media users through “Google Forms” during the third wave of coronavirus in Pakistan. Further, the authors applied structural equation modeling for hypotheses testing.

The authors noted that entertainment and perceived norms of reciprocity positively affect social media users' prior experience and misinformation self-efficacy to enhance their misinformation combating intention. However, information seeking positively affects social media users' prior experience and insignificantly affects their misinformation self-efficacy. Similarly, status seeking was noted to be insignificantly associated with social media users' prior experience and misinformation self-efficacy.

The authors tested this model of misinformation combating intention in a developing country during the COVID-19 pandemic and noted that entertainment and status seeking motives are context-specific. Therefore, this study may likely benefit researchers, academicians and policymakers to understand the causal relationship between motivations and the behavior of combating misinformation on social media within a developing country.

In this study the authors merged three theories (e.g. uses and gratifications theory, social cognitive theory and theory of prosocial behavior) to understand information seeking, status seeking, entertainment and norms of reciprocity as the main motives for social media users' misinformation combating intention.