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Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.

The current era of the fourth industrial revolution has attracted significant research on the use of digital technologies in improving construction project delivery. However, less emphasis has been placed on how these digital tools will influence the management of the construction workforce. To this end, using a review of existing works, this chapter explores the fourth industrial revolution and its associated technologies that can positively impact the management of the construction workforce when implemented. Also, the possible challenges that might truncate the successful deployment of digital technologies for effective workforce management were explored. The chapter submitted that implementing workforce management-specific digital platforms and other digital technologies designed for project delivery can aid effective workforce management within construction organisations. Technologies such as cloud computing, the Internet of Things, big data analytics, robotics and automation, and artificial intelligence, among others, offer significant benefits to the effective workforce management of construction organisations. However, several challenges, such as resistance to change due to fear of job loss, cost of investment in digital tools, organisational structure and culture, must be carefully considered as they might affect the successful use of digital tools and by extension, impact the success of workforce management in the organisations.

This paper presents the major findings of recently completed research in the UK concerning the attributes of information as an asset and its impact on organisational performance. The research study employed an automated information asset- and attribute-scoring grid exercise and semi-structured open-ended interviews with 45 senior UK managers in four case study organisations. The information asset-scoring grid was developed to provide a simple visual representation of information assets and attributes using Excel charts. The semi-structured open-ended interviews aimed to identify the attributes of information assets considered significant by 45 senior UK managers and to explore relevant issues such as the value of information and organisational effectiveness.

Introduction: Human resource management (HRM) is going through a transformation phase due to the pandemic. The COVID-19 crisis compelled the employees to work virtually. To mitigate the effects of COVID-19, several organisations heavily invested in artificial intelligence (AI) in the realm of HRM.

Purpose: With limited studies on the paradigm shift in HRM post-pandemic and the role of AI, the study investigates and proposes a conceptual framework for the paradigm shift in HRM practices post-COVID-19 pandemic and the significance of AI. Furthermore, the study investigates the outcomes of the use of AI in HRM for organisations and employees.

Methodology: A comprehensive review of the literature based on the guidelines of Tranfield, Denyer, and Smart (2003) and Crossan and Apaydin (2010) has been followed. A systematic literature review assisted in critically analysing, synthesising, and mapping the extant literature by identifying the broad themes involved.

Findings: COVID-19-related economic disruption has led to a paradigm shift in HRM practices. AI-enabled HRM practices are now centred around remote and contingent workforce management, mindfulness, social capital, increasing employee engagement, reskilling and upskilling towards new competencies, etc. AI is making remote work seamless through smooth recruitment and selection process, onboarding, career and development, tracking and managing the performance, facilitating learning, and talent management. Post-pandemic, AI-powered tools based on data mining (DM), predictive analytics, big data analytics, natural language processing (NLP), intelligent robots, machine learning (ML), virtual (VR)/augmented reality (AR), etc., have paved the way for managing the HRM practices effectively, thereby leading to enhanced organisational performance, employee well-being, automation, and reduced cost.

In the last two decades, a new form of organization has progressively become predominant on many global markets: networks. Very few worker co-operatives have adopted such a pattern though, despite the fact that, as the theoretical literature shows, the advantages of network industrial structures are numerous and networking can be considered a necessity in the context of globalization. After introducing a new framework for analyzing networks, we argue that combining several dimensions of integration has been an important factor of efficiency in three case studies: Mondragon Corporacion Cooperativa, the industrial districts of Emilia-Romagna, and Scop Entreprises.

This chapter provides a new theory for organizational leadership in which an organization's leadership, authority, management, power, and environments (LAMPE) are made coherent and integrated. Organizations work best if their LAMPE is coherent, integrated, and operational. The chapter begins by introducing basic concepts, such as structures, processes, process frameworks, task–role matrices, interdependence uncertainty, and virtual-like organizational arrangements. The LAMPE theory is then built upon this base. Leadership is defined as the processes of initiating, enabling, implementing, and sustaining change in an organization. Authority is defined as the legal right to preempt the outcome of a decision or a process. Management is defined in term of its major processes. Power is the control of interdependence uncertainty. When 29 leadership practices are introduced, it is possible to link them to all five of LAMPE's constructs. A number of conclusions are derived, in the form of 36 propositions: 5 dealing with leadership, 5 focusing on leadership requirements matching, 4 relating to leadership effectiveness, 5 dealing with leadership capacity, 4 concerning the benefits of distributed leadership, and 13 linking LAMPE to the theory of the organizational hologram.

Integrating interdisciplinary studies with Human Capital Management Accounting (HCMA) refers to the dynamics of organized interdisciplinary action that are transversal or cross-cutting. This approach requires the mastery of a certain number of technical skills and disciplines, as well as the capacity to use them in a process to solve problems of financial performance. This is accomplished through the specific interaction tasks that are performed by each management function and operational unit, which act in real time with others, in the same direction as an organizational team, using a selected risk appetite threshold base.

Putting business fields side by side, (i.e., business disciplines silos, as is normally the case in MBA programs), is not enough to create the transversal interaction dynamic needed for firms to achieve expected financial performance goals. As a result, few graduates today have the cross-cutting or vertical skills required to act, in real time, from their workstation in accordance with the pyramid shape of the organization chart in order to create value.

This chapter presents the results of the interface established by a faculty member in the Accounting Department of the University of San Francisco with a “seasoned leader in the FinTech industry.” It proposes a single portal for employers and HRMs to which the continuing education services of professional training associations, executive education departments of colleges, and MBA schools and universities, can connect to issue the HCMA certificate supplementing their training offerings focused on “Leadership Development”.