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The debate over intuitive vs analytical decision-making styles began almost 40 years ago and had yet to deliver definite answers. The debate – however – has led to divergent theoretical stances and empirical results. The purpose of this paper is to investigate the role of these information processing styles in customer-related decision-making in the context of mobile technologies.

The hypotheses are derived from the contrasting theoretical propositions and empirical evidence present in the debate around decision-making styles. The study also introduces and investigates the moderating role of environmental dynamism (ED). Analyses and results are based on survey research that involves 251 managers with responsibility for organizational decision-making processes.

The study’s findings suggest that both intuitive and analytical styles are relevant in the actual context characterized by mobile technologies. Intuition still plays a central role in managers’ decision-making processes, but when the industry environment is highly dynamic analytical information processing also plays an essential role in supporting organizational responsiveness and performance.

This study can help managers in reconsidering the way in which they employ analytical or intuitive information processing activities inside their decision making at different levels of ED.

The novelty of this paper relies on testing hypothesis simultaneously developed by both the theoretical stances favorable to intuitive and to analytical information processing. Besides, it tests these hypotheses in the actual empirical context characterized by a transformed scenario in terms of data availability.

As e-HRM systems move into the ‘smart’ technology realm, expectations and capabilities for both the automational and informational features of e-HRM systems are increasing. This chapter uses the well-established DeLone and McLean (D&M) model from the information systems literature to analyze how a smart workforce management system can create value for an organization.

The chapter is based on an exploratory case study conducted with a North American industrial products firm. We review three systems-level predictors of success from the D&M model (system quality, information quality, and service quality) and evaluate the company’s systems on these attributes.

The company’s e-HRM systems fall short on the information quality dimension, which limits potential for overall system success related to smart workforce management.

The e-HRM literature focuses on individual-level factors of system success, while the D&M model uses more macro factors. Blending these may help researchers and practitioners develop a more complete view of e-HRM systems. Conclusions from this chapter are limited due to the use of a single, exploratory case study.

Companies must pay attention to all three predictors of system quality when developing smart workforce management systems. In particular, implementation of a data governance program could help companies improve information quality of their systems.

This chapter adds to the literature on smart workforce management by using a model from the information systems literature and a practical example to explore how such a system could add value.

Collaboration methods are unique strategies that can help organizations hedge against external and internal supply chain risks without stressing their relationships with supply chain partners. However, selecting the most appropriate collaboration method from a given set of strategies is a multifaceted challenge. This paper aims to address this issue.

The decision maker's dilemma of fighting data uncertainty in input parameters to check the efficacy of a given collaboration or mitigation approach is tackled by the integration of Grey theory with the technique for order of preference by similarity to ideal solution (TOPSIS) method. The proposed technique is applied and tested for an Indian diesel generator-set manufacturer to identify the most apposite set of sustainable collaboration strategies.

The results showed that when a firm is bidding for different horizontal collaboration strategies across its supply chain system technology and resource-sharing-centered collaboration strategies are the prominent option. In the case of the company's vertical collaboration deployment, the focus should be kept on information sharing to achieve impactful collaboration. The outcome of the analysis helped the Indian manufacturer to adopt transparent order and production information sharing with its regional distributors and core suppliers within its supply chain.

This study demonstrates from a methodological perspective the successful application of the Grey-TOPSIS approach that effectively captures data uncertainty. It also integrates sustainability parameters in collaboration strategy criteria selections.

Organizations, would they be individual companies or large multi-firm networks, face a wide variety of potential risks requiring dedicated keen management. It all the better applies to supply-chains as risk, related to both physical and information flows, pervades the whole logistics network and has acquired a new and growing security dimension since 9/11. More specifically, as they are now under the permanent threat of terrorism, and because offering sufficient security levels is bound to become a necessary condition for global supply-chain membership, seaports need to adjust their risk management strategy and processes accordingly. In such a context, this paper aims at describing the project of a decision-support system, dedicated to container transit security-wise decision making and which features an expert-system architecture.

This paper reviews and classifies research connecting supply chain risk management (SCRM) and information technology (IT) and derives a structured proposal for fruitful research directions.

The authors conducted a systematic literature review of the interplay of SCRM and IT, drawing from major journals in the relevant fields. These findings are enriched by experiences from a three-year international research project.

Current research focuses on the role of IT for risk reduction, rather than for risk identification, analysis and monitoring. While much research has investigated operational supply chain risk, fewer insights into disruption risk are available. There is little research on the role of IT in SCRM beyond its potential to enhance information sharing among supply chain partners. To address these gaps, the paper proposes a two-dimensional framework to categorize IT potential for SCRM according to the source and impact of disruption risk on physical supply chain flows, which suggests promising directions for future research.

The paper offers a systematic review to further our understanding of the relationship of SCRM and IT. In addition, it presents and discusses nine areas for further research aimed at mitigating the gaps identified at the intersection of SCRM and IT.

The purpose of this paper is to report on an exploratory study to revisit and critically reappraise the impact of IT upon organisational structure, by exploring how the deployment of ERP, when accompanied by a specific strategic orientation, impacted upon the host organisation's structural design.

The study was initially enacted through a postal questionnaire survey of IT managers within a sample of China's largest manufacturing organisations. Follow‐up interviews were then conducted with senior managers, who had first‐hand experience of working on ERP implementations, to help to more fully understand the impact of ERP upon organisational structure.

The study found that the implementation of ERP technology and the strategic orientation of the host organisation are both likely to modify the structural design of Chinese manufacturing organisations. Moreover, it has been found that the success of an ERP deployment is a stronger predictor of organisational form than the scale of the deployment. The results of the study would also suggest that ERP is more likely to affect structural changes, when deployed in the presence of a complementary “prospector” corporate strategy.

The study provides clear new evidence that ERP is likely to have a significant impact upon organisational structure, but, because of the complexity of the technology and the uniqueness of every organisational context, the authors offer no simple prescriptions or panaceas as to how it should be managed. However, managers should be aware that an ERP implementation will almost certainly affect organisational structure, and then take steps to ensure that such changes are carefully and proactively managed.

There is already a rich and established literature with regard to the impact of IT upon organisational structure. However, it could be argued that by focussing upon ERP, by explicitly modelling the effect of strategy and by taking a holistic view of organisational structure, the paper is able to offer a far more subtle view of the complexities of the relationship between IT and organisational structure than prior studies.

The main objective of the paper is to develop a risk management framework for software development projects from developers' perspective.

This study uses a combined qualitative and quantitative technique with the active involvement of stakeholders in order to identify, analyze and respond to risks. The entire methodology has been explained using a case study on software development project in a public sector organization in Barbados.

Analytical approach to managing risk in software development ensures effective delivery of projects to clients.

The proposed risk management framework has been applied to a single case.

Software development projects are characterized by technical complexity, market and financial uncertainties and competent manpower availability. Therefore, successful project accomplishment depends on addressing those issues throughout the project phases. Effective risk management ensures the success of projects.

There are several studies on managing risks in software development and information technology (IT) projects. Most of the studies identify and prioritize risks through empirical research in order to suggest mitigating measures. Although they are important to clients for future projects, these studies fail to provide any framework for risk management from software developers' perspective. Although a few studies introduced framework of risk management in software development, most of them are presented from clients' perspectives and very little effort has been made to integrate this with the software development cycle. As software developers absorb considerable amount of risks, an integrated framework for managing risks in software development from developers' perspective is needed.

Transport logistics systems in companies with additional public service roles are complex and could benefit from new approaches to performance management. Existing approaches tend to be fragmented; thus, the purpose of this paper is to integrate balanced performance measures, a dynamics model, and the problem-solving method into a new model.

An integrated framework is developed by reviewing literature and synthesising attributes of performance measurement systems, system dynamics and problem-solving methods. The framework is then applied to a multiple-role company’s sea transportation system. The study uses statistical methods to identify performance indicators, management interviews with document study to develop a dynamics model, and simulation methods to formulate an improvement plan.

The performance measurement design stage allowed for the identification of balanced, aligned performance indicators, while the system dynamics model illuminated the impact of the system components’ interrelationships on performance output. The problem-solving method allowed for analysis of system performance, identification of constraints and formulation of a performance improvement plan.

This framework can help transport logistics system stakeholders in multiple-role companies avoid silo thinking, misaligned performance objectives, local optima and short-term solutions.

This study contributes to the existing body of research by introducing a novel framework integrating performance measurement, system dynamics and the problem-solving method. It also addresses a theoretical gap by showing how interconnecting components of sea transportation systems affect transport logistics performance.

The purpose of this paper is to investigate the relations among soft skill, information technologies and Big Data for building a possible bridge able to link human and technology dimensions for increasing firm performance.

Using the Business-focused Inventory of Personality , work personality of 4,758 human resources engaged in 72 high-tech European firms has been analyzed and its relations with firms’ investment in Big Data and firms’ economic performance have been tested using the structural equation modeling (SEM).

The research shows the existence of strong relations between some elements of human resources’ personality such as the work motivation and the social competencies and the firms’ economic performance. At the same time, the research clarifies the mediated effect of firms’ investment in Big Data in the relations between human resources’ organizational behavior and the firms’ economic performance.

The paper extends previous managerial contributions about Big Data management and human resource management providing evidence on which build more effective managerial models in the era of digital transformation.

This research aims to examine the smelter industry’s investment competitiveness in Indonesia as well as to find solutions to improve its competitive advantage for the nation.

This research applies a sequential mixed-methods approach with a second quantitative phase building on an initial first qualitative phase. The qualitative phase is conducted by interviews to find the root causes of problems as well as solutions to gain smelter industries’ competitiveness. The quantitative phase is conducted by a system dynamics model. A descriptive causal loop diagram is created based on interviews and focus group discussions to describe the problems. The concept of competitive advantage of a nation from Porter’s diamond model is applied in this research.

The results reveal the complexity of smelter industries in Indonesia. The paper also addresses the causes of problems and interaction of variables using a causal loop diagram. To gain the smelter industry’s competitiveness, this paper suggests the potential policy development to increase competitiveness of the smelter industry such as policy for different fiscal incentives to each different mineral, effective export duty and exploration obligation.

The result of this study provides a good basis for government in making policy to improve the competitive advantage of the smelter industry investment in Indonesia.

This is the first research on smelter industry competitiveness that applies Porter’s diamond model and system dynamics model to find solutions in designing appropriate policy to gain competitiveness.