Representative dissonance: India’s Self and Western Image

Western media have often been criticized for portraying Third World destinations through a colonial prism via images of primitiveness and exoticism. Contrastingly, some destinations have begun to resist those representations with media campaigns of their own. The purpose of this study was to critically construe the differences between ways that India is represented in American tourism media and how it is represented by the Indian government itself. The findings revealed that these two representations are different in ways that reflect the colonial nature of international tourism and the postcolonial stage of India’s nationalism. Moreover, the study of representative dissonance is proposed as a tool for understanding the conflicting ideological forces that shape destination images.     

Volunteer tourism and “The White Man’s Burden”: globalization of suffering,white savior complex,religion and modernity

While many volunteer tourism studies have acknowledged the significance of volunteer tourism and challenged conventional understandings of socio-economic change in the Global South, the ways in which ideas about globalization of suffering and religion and modernity flow through volunteer tourism and development discourses are rarely spoken about. Utilizing postcolonialism and whiteness studies theoretical framework, this study intends to take volunteer tourism research into a different trajectory by arguing that much like imperialism is operationalized through different kinds of institutional power (agencies such as the IMF and the World Bank), similarly volunteer tourism exerts power and exploits the Orient as the West’s pleasure periphery. Taking the case of Mother Teresa, this study also argues that Christian ideologies, which were so dominant during the colonial days, continue to pervade the structures and institutions in society with similar hegemonic connotations of privilege based on religion and race. Future tourism scholars should investigate these remarkable yet somewhat ignored issues in contemporary volunteer tourism practices.     

Organizational Governance and Ethical Systems: A Covenantal Approach to Building Trust

American businesses and corporate executives are faced with a serious problem the loss of public confidence. Public criticism, increased government controls, and growing expectations for improved financial performance and accountability have accompanied this decline in trust. Traditional approaches to corporate governance, typified by agency theory and stakeholder theory, have been expensive to direct and have focused on short-term profits and organizational systems that fail to achieve desired results. We explain why the organizational governance theories are fundamentally, inadequate to build trust. We advance a conceptual framework based on stewardship theory characterized by “covenantal relationships” and argue that design of governance mechanisms using a covenantal approach is more effective in building trust in organizations. A covenantal relationship is a specialized form of a relational contract between an employee and his or her organization. We argue that regardless of incentives and control mechanisms carefully designed through contractual mechanisms, in the absence of covenantal relationships it is extremely difficult to build trust within organizations. We propose that organizations are more likely to build trust – both at the organizational level and at the interpersonal level – when they create reinforcing and integrated systems that honor implied duties of “covenantal relationships.”     

Skilled–unskilled wage inequality,product variety,public input and increasing returns: A static general equilibrium analysis

The paper develops a four sector small open economy model with two traded final good sectors, a public intermediate good producing sector and a nontraded good sector producing varieties of intermediate goods. There are three primary factors: capital, skilled labour and unskilled labour. Industrial sector producing a traded good uses capital, intermediate goods and skilled labour as inputs. Intermediate goods producing sector also uses capital and skilled labour. Public input producing sector and the agricultural sector producing the other traded good use capital and unskilled labour as inputs. It is shown that, if production technologies are the same for the agricultural sector and the public input producing sector and if the scale elasticity of output is very low, then an increase in capital stock (unskilled labour endowment) raises (lowers) the skilled–unskilled wage ratio. However, an increase in skilled labour endowment does not produce any unambiguous effect. On the other hand, an increase in the tax rate on industrial output and/or an increase in the price of the agricultural product, armed with the same set of assumptions, lowers the skilled–unskilled wage ratio.     

Classification of spammer and nonspammer content in online social network using genetic algorithm-based feature selection

ABSTRACT

The emergence of online social network invokes social actors to share their personal information digitally. Moreover, it provides the facility to maintain their links with people of same interest globally. Take advantage of these services; it has become a fascinating testbed to invite various threats like a spammer. Detection of spammer in OSN is one of the most critical tasks. Spammer not only spreads unwanted or bad advertisement but does certain malicious activity in others' profiles. By clearly understanding the activities of different threats, some incremental and accurate approaches are needed for detecting spammer content and profiles involved in these activities by using social network services. Therefore, the focus of this article is to detect spammer content and account, specifically on the leading microblogging platform called Twitter. We propose a hybrid approach which leverages the capabilities of various machine learning algorithms to separate spammer and nonspammer contents and account. Initially, the optimisation algorithm called genetic algorithm analyses the various features and selects the best suitable features that influence the behaviour of user account, and these features are then used to train classifiers. Our framework achieved to severalise spammer and nonspammer content in an effective way. Finally, to prove the efficiency of our proposed framework, a comparative analysis is conducted with some existing state-of-art techniques. The experimental analysis shows that our approach achieves a high detection rate of 99.6%, which is better than other state-of-art techniques.     

Classification of various attacks and their defence mechanism in online social networks: a survey

Due to the popularity and user friendliness of the Internet, numbers of users of online social networks (OSNs) and social media have grown significantly. However, globally utilised, social networks are the consequence of the lack of understanding of secrecy and protection on OSN and media has increased. Secrecy and surety of OSNs need to be inquired from various positions. According to recent studies, OSN users expose their private information such as email address, phone number etc. In this paper, we have presented a high-level classification of recent OSN attacks for recognising the problem and analysing the blow of such attacks on World Wide Web. We have also discussed OSN attacks on different social networking web applications by citing certain recent reports such as Kaspersky security network and Sophos security threat report. We also offer some simple-to-implement user practice tips to protect the system and user’s information. In addition to this, we have discussed a comprehensive analysis of numerous defensive approaches on OSN security. Lastly, based on the acknowledged strength and faults of these defensive approaches, we have explained open research issues.     

Internal control and internal capital allocation: evidence from internal capital markets of multi-segment firms

We investigate the impact of internal control over financial reporting on management decisions in directing corporate resources to alternative investment projects in multi-segment firms. Results from cross-sectional and inter-temporal analyses indicate that internal control weaknesses (ICWs) are associated with distortionary internal capital allocations. The adverse impact on internal capital markets is more pronounced for firms with company-level ICWs. Our analyses also show that firms with weak existing governance mechanisms benefit more from maintaining effective internal control. We further document that the negative impact of ICWs on firms’ internal capital transfers manifests in a lower excess value of diversification.     

Skilled-unskilled wage inequality and unemployment: A general equilibrium analysis

The paper develops a static three sector competitive general equilibrium model of a small open economy in which skilled labor is mobile between a traded good sector and the non-traded good sector and unskilled labor is specific to another traded good sector. Capital is perfectly mobile among all these three sectors. We introduce involuntary unemployment equilibrium in both the labor markets and explain unemployment using efficiency wage hypothesis. We examine the effects of change in different factor endowments and prices of traded goods on the unemployment rates and on the skilled-unskilled relative wage. Also, we introduce Gini-Coefficient of wage income distribution as a measure of wage income inequality; and show that a comparative static effect may force the skilled-unskilled relative wage and the Gini-Coefficient of wage income distribution to move in opposite directions in the presence of unemployment.     

Global talent management by multinational enterprises post-COVID-19: The role of enterprise social networking and senior leadership

Multinational enterprises' (MNEs') workforce is made up of people from diverse backgrounds and different locations around the globe. The cross-border transfer of knowledge, skills, and best practices among MNE employees is important to maintain global standards and competitiveness. In the post-COVID-19 period, there is a greater need to exchange knowledge in the changing business environment. The purpose of this study is to examine the issues related to MNEs' global talent management, post-COVID-19. The study investigates the use of enterprise social networking applications for better knowledge exchange and tries to understand the moderating role of senior leadership team support in facilitating the usage of enterprise social networks for cross-border collaboration and talent management. After reviewing the literature and relevant theories, we developed a conceptual model, which is then validated using the SEM technique with 347 respondents from 12 MNEs. The study reveals the importance of using enterprise social networks for cross-border knowledge exchange in the post-COVID-19 period.