Big data analytics (BDA) is a revolutionary approach for sound decision-making in
organizations that can lead to remarkable changes in transforming and supporting the …

Despite the wide usage of big data in tourism and the hospitality sector, little research has
been done to understand the role of organizations' capability of managing big data in value …

Argyris & Schön's notion of two types of learning, single‐loop (SLL) and double‐loop
learning (DLL), is arguably one of the most popularized categorizations of organizational …

Drawing upon insights from the trust literature, we conducted two empirical surveys with the
front-line employees of firms in Pakistan investigating the factors influencing cognitive trust …

Drawing from the knowledge-based dynamic capabilities (KBDCs) view, this study examines
the association of big data management capabilities with employee exploratory and …

Purpose The purpose of this paper is to investigate the generation of civic and public (C&P)
engagement as an integrative outcome of a proper balance between emotional, rational and …

Purpose The purpose of this study is twofold: first to demonstrate the application of an
algorithm using contextual data to ascertain consumer personality traits; and second to …

Abstract Knowledge hiding is an activity that often comes naturally to humans. When we are
children, our parents hide certain information to protect us. As we age, we learn to develop …

Meta-analysis is frequently combined with multiple regression or path analysis to examine
how the Big Five/Five-Factor Model (FFM) personality traits relate to work outcomes. A …

Purpose Crowdsourcing communities enable companies to post challenges that are
completed by solvers (workers); their success depends on engagement, requiring both …