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First, this paper aims to provide empirical evidence of the interaction between the components of an internal control system. Second, it seeks to integrate work from the field of strategy and that on the internal control system from the field of auditing. The purpose of this paper is to enable a more profound understanding of how different strategic orientations may influence effectiveness, depending on the components of the internal control system.

Data were collected through an online questionnaire and analyzed using multiple regression analysis, i.e. a three‐way interaction model. The result was a usable sample of the opinions of 741 managers working in Finland.

The results indicate that, for prospector firms, high degrees of internal control activity and low degrees of monitoring ensure a greater effectiveness of the internal control system. On the other hand, for analyzers a high degree of internal control activity and high degrees of monitoring lead to a highly effective internal control system. In addition, our findings indicate no significant differences between defenders and analyzers.

The research is limited to only two components of the internal control system, namely, internal control activities and monitoring. Future research is needed to examine the interactions of other components of the internal control system.

The paper demonstrates the need for managers to be aware of the drivers of the effectiveness of the internal control system and the relationships essential to drive effectiveness, especially when operating in different strategic fields. While all components of an internal control system are vital, this study shows that a good fit between them can lead to improved effectiveness.

This is the first empirical study that has used a three‐way interaction method to study internal control structures and their effectiveness in an organizational context. Coupled with previous work, it suggests the need for both researchers and practitioners to examine the interactions of an internal control system and how they impact on the effectiveness of that system.

The activities using drum resources restrict the operation of multi-project systems. However, existing monitoring methods are not suitable for the characteristics of drum activities in the multi-project system. The authors therefore propose an adaptive capacity constraint buffer monitoring model based on the attributes of drum activities, aiming to build a high-efficiency progress control framework for multiple projects.

Considering the attributes and the interrelationship of drum activities, the monitoring reference points are determined on the basis of decentralized buffers. The authors next set action thresholds according to the relationship between the drum activities' interval margin and buffer consumption, and then the corresponding monitoring measures are taken.

The empirical results show that, compared to the classic methods, the proposed approach can effectively monitor the progress of the drum plan and realize the dual optimization of multi-project duration and cost.

The buffer consumption at the follow-up monitoring time point is neglected when determining the action thresholds. Prediction methods can be introduced to present more all-sided monitoring.

This paper fulfils the dual optimization of multi-project duration and cost. It provides a reference guide for project managers.

A capacity constraint buffer monitoring method suitable for a multi-project environment is produced.

The unique nature of the construction sector makes it fall behind other sectors in terms of productivity. Monitoring construction productivity is crucial for the construction project's success. Current practices for construction productivity monitoring are time-consuming, manned and error prone. Although previous studies have been implemented toward reducing these limitations, a gap still exists in the automated monitoring of construction productivity.

This study aims to investigate and assess the different techniques used for monitoring productivity in building construction projects. Therefore, a mixed review methodology (bibliometric analysis and systematic review) was adopted. All the related publications were collected from different databases, which were further screened to get the most relevant based on the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) criteria.

A detailed review was performed, and it was found that traditional methods, computer vision-based and photogrammetry are the most adopted data acquisition for productivity monitoring of building projects, respectively. Machine learning algorithms (ANN, SVM) and BIM were integrated with monitoring tools and technologies to enhance the automated monitoring performance in construction productivity. Also, it was observed that current studies did not cover all the complex construction job sites and they were applied based on a small sample of construction workers and machines separately.

This review paper contributes to the literature on construction management by providing insight into different productivity monitoring techniques.

The purpose of this paper is to review the recent advancements in the development of wearable sensors which can continuously monitor critical medical, assess athletic activity, watch babies and serve industrial applications.

The paper presents an in-depth review of a number of developments in wearable sensing and monitoring technologies for medical, athletic and industrial applications. Researchers and companies around the world were contacted to discuss their direction and progress in this field of medical condition and industrial monitoring, as well as discussions with medical personnel on the perceived benefits of such technology.

Dramatic progress is being made in continuous monitoring of many important body functions that indicate critical medical conditions that can be life-threatening, contribute to blindness or access activity. In the industrial arena, wearable devices bring remote monitoring to a new level.

Doctors will be able to replace one-off tests with continuous monitoring that provides a much better continuous real-time “view” into the patient’s conditions. Wearable monitors will help provide much better medical care in the future. Industrial managers and others will be able to monitor and supervise remotely.

An expert insight into advancements in medical condition monitoring that replaces the one-time “finger prick” type testing only performed in the doctor’s office. It is also a look at how wearable monitoring is greatly improved and serving athletics, the industry and parents.

The purpose of this paper is to investigate whether the quality of the credit process is sensitive to reaching a particular threshold level of non-performing loans (NPLs) and, more importantly, whether higher NPLs ratios could make the monitoring activity ineffective.

The empirical design is composed of two steps: in the first step, the authors introduce a monitoring performance indicator (MPI) of the credit process by combining the non-parametric technique Data Envelopment Analysis with some financial ratios adopted as input and output variables. As second step, the authors apply a threshold panel regression model to a sample of 298 Italian banks, over the time period 2006–2014, and the authors investigate whether the quality of the credit process is sensitive to reaching a particular threshold level of NPLs.

This paper finds that, first, when the NPLs ratio remains below the threshold value estimated endogenously, an increase in the quality of monitoring has a positive impact on the NPLs ratio. Second, if the NPLs ratio exceeds the estimated threshold, the relationship between the NPLs ratio and quality of monitoring assumes a positive value and is statistically significant.

Due to the lack of data, the investigation of NPLs in the Italian industry across loan types combined with the monitoring effort by banks management was not possible. The authors plan to investigate this topic in future studies.

The identification of the threshold has a double operational valence. The first regards the Supervisory Authority, the threshold approach could be used as an early warning in order to introduce active control strategies based on the additional information requested or by on-site inspections. The second implication is highlighted in relation to the individual banks, the monitoring of credit control quality, if objective and comparable, could facilitate the emergence of best practices among banks.

A high NPLs ratio requires greater loan provisions, which reduces capital resources available for lending, and dents bank profitability. Moreover, structural weaknesses on banks’ balance sheets still persist particularly in relation to the inadequate internal governance structures. This means that bank management must able to recognise in advance early warning signals by providing prudent measurement together with an in-depth valuation of loans portfolio.

The originality of the paper is twofold: the authors introduce a new proxy of credit monitoring, called MPI; the authors provide an empirical proof of the Diamond’s (1991) economic intuition: for riskier borrowers, the monitoring activity is an inappropriate instrument depending on the bad reputational quality of borrowers.

This paper aims to examine the role of project monitoring and evaluation (M&E) in international development (ID) project stakeholders' relationships. This study draws on agency theory to examine the specific role M&E plays in improving ID project impact.

Qualitative data comprising of in-depth interviews were collected from ID project stakeholders such as project donors, implementing partners and steering committee members.

Results of the study show that project M&E activities can serve multiple purposes including the collection of data for the assessment of inputs, outputs, outcomes and impact. This information is shared with stakeholders to assist in evidence-based decision-making to improve project impact on community. This study shows that M&E activities strengthen the relationship between stakeholders by involving multiple stakeholders at different stages of ID projects to identify community needs and to demonstrate the positive community impact. Agency issues such as goal incongruence, information asymmetry and risk-sharing affect the relationship between the stakeholders. Investing in different M&E activities can reduce these issues, ultimately leading to a positive impact at the community level.

There has been limited research that explores the principal-agent relationship between project stakeholders of ID projects through the lens of agency theory. The role of M&E to collect project data and address agency issues between project stakeholders to improve project impact is the novel contribution of this paper.

The purpose of this study is to monitor the progress of construction activities in an automated way by using sensor-based technologies for tracking multiple resources that are used in building construction.

An automated on-site progress monitoring approach was proposed and a proof-of-concept prototype was developed, followed by a field experimentation study at a high-rise building construction site. The developed approach was used to integrate sensor data collected from multiple resources used in different steps of an activity. It incorporated the domain-specific heuristics that were related to the site layout conditions and method of activity.

The prototype estimated the overall progress with 95% accuracy. More accurate and up-to-date progress measurement was achieved compared to the manual approach, and the need for visual inspections and manual data collection from the field was eliminated. Overall, the field experiments demonstrated that low-cost implementation is possible, if readily available or embedded sensors on equipment are used.

Previous studies either monitored one particular piece of equipment or the developed approaches were only applicable to limited activity types. This study demonstrated that it is technically feasible to determine progress at the site by fusing sensor data that are collected from multiple resources during the construction of building superstructure. The rule-based reasoning algorithms, which were developed based on a typical work practice of cranes and hoists, can be adapted to other activities that involve transferring bulk materials and use cranes and/or hoists for material handling.

In this paper we assess the management costs of delivering services under alternative institutional arrangements. We develop an analytic framework based on transaction cost and public sector network theories to identify management costs public managers face in delivering services directly and via contract. Results from a survey of refuse collection managers in Ohio indicate that direct service provision carries higher management costs, though when combined with vendors’ activities, contracting carries more monitoring costs. These results suggest two important contributions to knowledge and contract management practice. First, we develop an innovative approach to assessing management costs. Second, we use our framework to determine whether there are differences in management costs under alternative institutional arrangements that managers should take into account as they approach the “make or buy” decision.

This paper aims to investigate the impact of monitoring and mentoring strategies on sustainability diffusion within supply networks through focal companies and how suppliers engage in implementing these strategies.

The paper reports on three in-depth case studies conducted with focal companies and their suppliers. An interaction approach was adopted to guide the analysis of focal companies’ strategies for implementing and diffusing sustainability in supply networks.

The monitoring strategy impacts sustainability diffusion at the dyadic level, while the mentoring strategy is a prerequisite for the diffusion of sustainability at the supply network level. The findings suggest that coupling monitoring with mentoring can lead to diffusion beyond first-tier suppliers. Interaction intensity, supplier proactiveness and mindset change facilitate sustainability diffusion in supply networks.

The authors suggest more research be conducted on specific practices within monitoring and mentoring, as some of these imply very different levels of commitment and interaction.

The paper suggests that in the future, companies will be increasingly called upon to adopt cooperative initiatives to enable the diffusion of sustainability in supply networks.

The contribution of the paper lies in its identification of the impacts of monitoring and mentoring strategies on the diffusion of sustainability in networks, revealing different supplier engagement in these strategies, which may foster or hinder sustainability diffusion.

The purpose of this paper is to clarify the aims, monitoring methods and challenges of social media monitoring from the perspective of international companies. Trends in the literature are also investigated.

Based on a systematic literature review, 30 key articles from 2008 to 2012 were further analysed.

International companies need real-time monitoring software, expertise and dynamic visualization to facilitate early detection and prognoses supporting strategy making. This is a costly affair, prompting questions about return on investment. A recent trend in the research literature concerns the development of models describing how issues spread in social media with the aim of facilitating prognoses.

The online databases used comprised refereed peer-reviewed scientific articles. Books were not included in the search process.

Because information spreads fast in social media and affects international companies, they need to identify issues early, in order to monitor and predict their growth. This paper discusses the difficulties posed by this objective.

Social media monitoring is a young research area and research on the topic has been conducted from many different perspectives. Therefore, this paper brings together current insights geared towards corporate communication by international companies.