Search results

The purpose of this paper is to understand the nomological network of associations between collective mindfulness and big data analytics in fostering resilient humanitarian relief supply chains.

The authors conceptualize a research model grounded in literature and test the hypotheses using survey data collected from informants at humanitarian aid organizations in Africa and Europe.

The findings demonstrate that organizational mindfulness is key to enabling resilient humanitarian relief supply chains, as opposed to just big data analytics.

This is the first study to examine organizational mindfulness and big data analytics in the context of humanitarian relief supply chains.

An analysis of the factors and reasons for collaboration, partnerships, and mergers in the profit sector is undertaken in this chapter. All terms used are defined, particularly as they apply in the world of for-profit enterprises. Through a thorough review of the literature, the authors provide an outline of historically significant successes and failures of mergers and acquisitions (M&A) in the corporate world and derive lessons from them as they might apply to the nonprofit sector. The reasons that drive both sectors toward such initiatives are discussed with an analysis and comparison of similarities and differences. Both successful mergers and failures are described, primarily through case studies. In addition, human aspects and implications are addressed. Issues such as fear, trust, processes, and psychological challenges of M&A are examined in depth. The influence of communication—the good, the bad, and the ugly—are analyzed from the perspective of clients, regulators, employees, and stakeholders, with reflections on the importance of communication and careful management of change processes. The chapter concludes with a summary of the lessons which can be derived from the literature with a view to providing guidance for similar efforts for information and library organizations.

Range data have become increasingly popular in recent years. Range sensors can acquire shape directly, thus avoiding the difficulties of methods using multiple intensity images, and have been adopted in many applications: bin picking, robotic assembly, inspection, recognition, robot navigation, automated cartography and medical diagnosis to name but a few.

The paper describes a new electro‐optical board technology, based on the discrete wiring principle. Isolated copper wires are embedded in the circuit board to realise the electrical interconnections. Glass optical fibres are embedded to obtain optical interconnections. The technology allows for crossovers and for electrical and optical interconnections on one layer of interconnection. As the technology can be applied on the level of package or multichip module, circuit board and backpanel, it has the ability to offer a complete solution for chip to chip electrical and optical interconnections. The paper will describe the basic manufacturing technology of the boards. The benefits of the technology from a system designer's viewpoint will be addressed. The problem of coupling light in and out of the embedded optical fibres will be discussed and the realisation of a first on‐board optical link via embedded optical fibres will be described.

Roofing is one of the most dangerous jobs in the construction industry. Due to factors such as lack of planning, training and use of precaution, roofing contractors and workers continuously violate the fall protection standards enforced by the US Occupational Safety and Health Administration. A preferable way to alleviate this situation is automating the process of non-compliance checking of safety standards through measurements conducted in site daily accumulated videos and photos. As a key component, the purpose of this paper is to devise a method to detect roofs in site images that is indispensable for such automation process.

This method represents roof objects through image segmentation and visual feature extraction. The visual features include colour, texture, compactness, contrast and the presence of roof corner. A classification algorithm is selected to use the derived representation for statistical learning and detection.

The experiments led to detection accuracy of 97.50 per cent, with over 15 per cent improvement in comparison to conventional classifiers, signifying the effectiveness of the proposed method.

This study did not test on images of roofs in the following conditions: roofs initially built without apparent appearance (e.g. structural roof framing completed and undergoing the sheathing process) and flat, barrel and dome roofs. From a standpoint of construction safety, while the present work is vital, coupling with semantic representation and analysis is still needed to allow for risk analysis of fall violations on roof sites.

This study is the first to address roof detection in site images. Its findings provide a basis to enable semantic representation of roof site objects of interests (e.g. co-existence and correlation among roof site, roofer, guardrail and personal fall arrest system) that is needed to automate the non-compliance checking of safety standards on roof sites.

This chapter builds on previous research that conceptualized organizational politics as an organizational stressor. After reviewing the studies that integrated the occupational stress literature with the organizational politics literature, it discusses the negative implications of the use of intimidation and pressure by supervisors, implications that have generally been overlooked. Specifically, the chapter presents a conceptual model positing that the use of intimidation and pressure by supervisors creates stress in their subordinates. This stress, in turn, affects subordinates’ well-being, evident in higher levels of job dissatisfaction, job burnout, and turnover intentions. The stress also reduces the effectiveness of the organization, reflected in a high absenteeism rate, poorer task performance, and a decline in organizational citizenship behavior. The model also maintains that individual differences in emotional intelligence and political skill mitigate the stress experienced by subordinates, resulting from the use of intimidation and pressure by their supervisors. In acknowledging the destructive implications of such behavior in terms of employees’ well-being and the productivity of the organization, the chapter raises doubts about the wisdom of using it, and advises supervisors to rethink its use as a motivational tool. Implications of this chapter, as well as future research directions, are discussed.

The purpose of this study is to review the literature on money laundering and its related areas. The main objective is to identify any gaps in the literature and direct attention towards addressing them.

A systematic review of the money laundering literature was conducted with an emphasis on the Pro-Quest, Scopus and Science-Direct databases. Broad research themes were identified after investigating the literature. The theme about the detection of money laundering was then further investigated. The major approaches of such detection are identified, as well as research gaps that could be addressed in future studies.

The literature on money laundering can be classified into the following six broad areas: anti-money laundering framework and its effectiveness, the effect of money laundering on other fields and the economy, the role of actors and their relative importance, the magnitude of money laundering, new opportunities available for money laundering and detection of money laundering. Most studies about the detection of money laundering have focused on the use of innovative technologies, banking transactions or real estate- and trade-based money laundering. However, the literature on the detection of shell companies being explicitly used to launder funds is relatively scarce.

This paper provides insights into an area related to money laundering where research is relatively scant. Shell companies incorporated in the UK alone were identified to be associated with laundering £80bn of stolen money between 2010 and 2014. The use of these entities to launder billions of dollars as witnessed through the laundromat schemes and several data leaks clearly indicate the need to focus on illicit financial flows through such entities.

The potential for differential functioning of performance assessments across ratings sources has gained recent research interest. This study used multiple-group confirmatory factor analysis (MGCFA) to examine whether measures of task and contextual performance are invariant across both supervisors and subordinates. As an extension, multiple indicators multiple causes modeling (MIMIC) was used to examine potential covariates of task and contextual performance ratings on latent task and contextual performance variability. Consistent with previous research, I found measurement invariance across subordinate- and supervisor ratings. Moreover, MIMIC results showed supervisor and subordinate demographic variables systematically influenced latent task and contextual performance variability despite measurement invariance over these rating sources. Implications for multi-source performance systems are discussed.

The purpose of this chapter is to present a model (Beginning, Acting, Telling (BAT) model) developed for the elementary-school classroom that integrates features identified by research into information-seeking behavior and information literacy.

The chapter provides an overview of research in the areas of information-seeking behavior and information literacy and models in which they have intersected (namely, the Information Search Process (ISP) model) to provide a theoretical framework in which to situate the BAT model. Examples from previous empirical studies conducted by the author that informed the model are provided.

A preliminary iteration of the BAT model has successfully been piloted in two third-grade classrooms in Buffalo, New York. Plans are underway to introduce the model to a wider audience.

The BAT model with its use of image and mnemonic cues can be used to teach the research process to students, beginning in the earliest grades of elementary school.

This chapter is the first time the final iteration of the BAT model has been presented. It is the first model integrating features inherent in information-seeking behavior and information literacy that also makes use of imagery and mnemonic.