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This study tests the influence of Big Five Personality Traits (BFPTs) and demographic factors on Facebook behavior of Posting, Feature Usage, and Making Friends in India, home to the highest number of Facebook users in the world. Gen-Z is the demographic most involved in social media, thus this age group’s behavior can be most accurately gauged from Facebook habits and so it forms the basis of this study. Facebook behavior identified in this study was the outcome of an elicitation study conducted among university students. The sample survey consisted of 290 Facebook users aged between 17 and 24 years. The chapter uses factor analysis and structural equation modeling (SEM) for data analysis. Results revealed that extroverts and those open to experiences would post more. Meanwhile, the conscientious were less inclined to use features such as emoticons while those more agreeable embraced them. Women and those more neurotic would not befriend strangers. Also, posting and feature usage increased with user age. Study results highlight the potential of analyzing Facebook behavior to gauge personalities, which could benefit recruiters and marketers. Academically, this is the first study related to India where a scale for Facebook behavior is developed (namely Posting, Feature Usage, and Making Friends) and then validated for future research work.

The tourism experience model (TEM) is a meta-analytical, phenomenological inspired model of how tourists experience destinations. This essay argues that social and cultural psychology form only part of the analysis of how the tourist’s consciousness filters interactions. By considering the existential self versus the role-authentic self of social psychology, the TEM adds to social psychology’s scope explaining how and why tourists may experience social interactions. In addition, it models the dynamics of how the tourist experiences his own activity (exploratory vs. recreational). The model thereby goes beyond both the exclusive social focus and the ego-centric notion of the Individualism–Collectivism dichotomy.

The history of special education has been influenced by changing societal and philosophical beliefs about the extent to which individuals with disabilities should be feared, segregated, categorized, and educated. Prior to the 1700s, individuals with exceptionalities were largely ignored or subjected to inhumane treatment, ridicule, isolation, and at times put to death (D'Antonio, 2004; Winzer, 1993, 1998). However, the sixteenth and seventeenth centuries ushered in rational philosophical beliefs about human dignity, which led to changes in the treatment and societal perceptions of individuals with exceptionalities (Winzer, 1998). These changes also were supported by efforts of pioneering special educators and advocates who began to experiment with various individually designed approaches to educating individuals with exceptionalities and to disseminate their work to others (Winzer, 1993).

Power is the potential ability of one individual or organization to directly influence another (Dahl, 1957; Emerson, 1962, French & Raven, 1959). The potential to influence another emanates from a number of social power bases. Six bases of power have been enumerated in the literature: reward, coercive, legitimate, referent, expert, and informational (French & Raven, 1959; Raven, 1965, 1992). Reward power emanates from the capability of one party to reward another. Coercive power originates from one party's expectation that he/she will be punished by his/her partner if he/she fails to conform to the influence attempt. Legitimate power is derived from the internalization of values that dictate his/her partner has a legitimate right to influence him/her and he/she has an obligation to accept this influence. Referent power is defined by the identification of one partner with the other. Expert power is the extent that the knowledge that one partner attributes to the other provides for influence. Informational power is defined as the logical argument that a partner presents to another in order to implement change. The aggregation of the six power bases determines an individual's or organization's overall power.

The aim of this chapter is to study individualism and collectivism as two construct indicators of social patterns in Lebanon using Triandis's (1995) framework of individualism and collectivism. This study explores the Lebanese autostereotypes and views of their extreme individualism and collectivism compared to the common opinion held by cross-cultural research. The study sheds light on how social patterns of different Lebanese individuals are distributed across four “cultural syndromes,” namely vertical and horizontal collectivism and vertical and horizontal individualism. These four social patterns will be tested against various contextual factors such as age, gender, and education. The results may provide a better idea for managers and human resources practitioners of how to prepare training and evaluation programs for their employees. Findings from 161 respondents showed that the subjects tested tended to be individualistic in their choices, and this suggests that the classification in the literature of the Lebanese as collectivists was based on the fact that there was no evidence to the contrary. Also, results showed a positive correlation between sociodemographic measures (gender, age, education, income, occupation, and location) and individualism. The author argues that these findings might have been the result of the evolution of the Lebanese family in the past 25 years. Suggestions for the use of these results in management and human resources practices and theory are given.

The objective of this study is to investigate how country risk, different political actions from the government and bureaucratic behavior influence the activities in industry supply chains (SCs) in emerging markets. The main objective of this study is to investigate the influence of these external stakeholders’ elements to the demand-side and supply-side drivers and barriers for improving competitiveness of Ready-Made Garment (RMG) industry in the way of analyzing supply chain. Considering the phenomenon of recent change in the RMG business environment and the competitiveness issues this study uses the principles of stakeholder and resource dependence theory and aims to find out some factors which influence to make an efficient supply chain for improving competitiveness. The RMG industry of Bangladesh is the case application of this study. Following a positivist paradigm, this study adopts a two phase sequential mixed-method research design consisting of qualitative and quantitative approaches. A tentative research model is developed first based on extensive literature review. Qualitative field study is then carried out to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. A survey is carried out with sample of top and middle level executives of different garment companies of Dhaka city in Bangladesh and the collected quantitative data are analyzed by partial least square-based structural equation modeling. The findings support eight hypotheses. From the analysis the external stakeholders’ elements like bureaucratic behavior and country risk have significant influence to the barriers. From the internal stakeholders’ point of view the manufacturers’ and buyers’ drivers have significant influence on the competitiveness. Therefore, stakeholders need to take proper action to reduce the barriers and increase the drivers, as the drivers have positive influence to improve competitiveness.

This study has both theoretical and practical contributions. This study represents an important contribution to the theory by integrating two theoretical perceptions to identify factors of the RMG industry’s SC that affect the competitiveness of the RMG industry. This research study contributes to the understanding of both external and internal stakeholders of national and international perspectives in the RMG (textile and clothing) business. It combines the insights of stakeholder and resource dependence theories along with the concept of the SC in improving effectiveness. In a practical sense, this study certainly contributes to the Bangladeshi RMG industry. In accordance with the desire of the RMG manufacturers, the research has shown that some influential constructs of the RMG industry’s SC affect the competitiveness of the RMG industry. The outcome of the study is useful for various stakeholders of the Bangladeshi RMG industry sector ranging from the government to various private organizations. The applications of this study are extendable through further adaptation in other industries and various geographic contexts.

Significant advances in digital technologies impact both organisations and knowledge workers alike. Organisations are now able to effectively analyse significant amounts of data, while accomplishing actionable insight and data-driven decision-making through knowledge workers that understand and manage greater complexity. For decision-makers to be in a position where sufficient information and data-driven insights enable them to make informed decisions, they need to better understand fundamental constructs that lead to the understanding of deep knowledge and wisdom. In an attempt to guide organisations in such a process of understanding, this research study focuses on the design of an organisational transformation framework for data-driven decision-making (OTxDD) based on the collaboration of human and machine for knowledge work. The OTxDD framework was designed through a design science research approach and consists of 4 major enablers (data analytics, data management, data platform, data-driven organisation ethos) and 12 sub-enablers. The OTxDD framework was evaluated in a real-world scenario, where after, based on the evaluation feedback, the OTxDD framework was improved and an organisational measurement tool developed. By considering such an OTxDD framework and measurement tool, organisations will be able to create a clear transformation path to data-driven decision-making, while applying the insight from both knowledge workers and intelligent machines.

The paper provides an overview of research published in the innovation and operations management (IOM) literature on 15 methods for cost management in new product development, and it provides a comparison to an earlier review of the management accounting (MA) literature (Wouters & Morales, 2014).

This structured literature search covers papers published in 23 journals in IOM in the period 1990–2014.

The search yielded a sample of 208 unique papers with 275 results (one paper could refer to multiple cost management methods). The top 3 methods are modular design, component commonality, and product platforms, with 115 results (42%) together. In the MA literature, these three methods accounted for 29%, but target costing was the most researched cost management method by far (26%). Simulation is the most frequently used research method in the IOM literature, whereas this was averagely used in the MA literature; qualitative studies were the most frequently used research method in the MA literature, whereas this was averagely used in the IOM literature. We found a lot of papers presenting practical approaches or decision models as a further development of a particular cost management method, which is a clear difference from the MA literature.

This review focused on the same cost management methods, and future research could also consider other cost management methods which are likely to be more important in the IOM literature compared to the MA literature. Future research could also investigate innovative cost management practices in more detail through longitudinal case studies.

This review of research on methods for cost management published outside the MA literature provides an overview for MA researchers. It highlights key differences between both literatures in their research of the same cost management methods.