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The purpose of this study was to investigate and propose the appropriate K‐mapping models as an approach to integrating key project components and technologies for the effective improvement of project performance within and across construction projects.

In this holistic, single‐case study, one of the largest construction consulting firms in South Korea has been studied by conducting 15 semi‐structured interviews and the different loci for each of the K‐mapping components are identified and analyzed. Based on the different loci, four types of the K‐mapping model are provided and elucidated.

Research findings indicate that these four types of the K‐mapping model provide the criteria to identify the appropriate types of K‐map for construction project organizations, according to the characteristics and conditions of their own construction personnel, construction processes, and K‐transfer technologies. With the K‐mapping models, an appropriate knowledge management system (KMS) can be developed more effectively.

First, as interpretivism was adopted as the research philosophy, the case study findings were subjective and qualitative to both the interviewees in the case study company and the researchers, though this study provided an important underpinning for future research on K‐mapping within construction project organizations. Second, the theory developed in this study was based on an investigation of the appropriate K‐mapping models with only a single case study. Nevertheless, this case study provided sufficient data and information to develop and propose a theory for successful K‐mapping model development within construction project organizations.

In the KM area, the definition, benefits, purposes, principles and types of K‐map have been already provided by many KM researchers and practitioners. However, no industry (practical)‐based K‐mapping model has been developed and proposed, especially in the construction industry. Accordingly, the originality of this study to be presented in one of the paper's conclusions: construction processes must be considered and adopted as a key component in the K‐mapping process, and the discussion of the four types of K‐map this research have generated, which significantly expands the existing literature on K‐mapping.

In the aftermath of hurricanes, the damage levied on transportation infrastructures increases the timeliness of emergency responses and recovery procedures, making it essential that they are reconstructed as quickly as possible – on time and within budget. The aim of this study was to determine significant performance indicators (PIs) that considerably affect cost and schedule performance as well as reworks in post–hurricane reconstruction of transportation infrastructure including highways, bridges, roadways, etc. Additionally, the determined PIs were clustered to investigate key components.

The root causes of reconstruction projects' poor performance were identified through the existing literature, and 30 transportation infrastructure case studies were analyzed to determine the significant PIs that corresponded to cost, schedule performance and reworks. The factor analysis method was used to cluster the significant PIs and determine the key components affecting them.

Eight key components were found for cost, eight for schedule performance and six for reworks. The key components of cost performance are shortage of resources, information management, coordination, safety, location, quality of materials, quality of resources and project complexity. The key components of reconstruction schedule performance are human resources, risk management, work suspension, material resources, productivity, on-site inspections, geometrical characteristics and level of reconstruction complexity. The six key components of reconstruction reworks are logistic management, pace of decision-making, accommodation for staff, environmental issues, available temporary paths and volume of debris.

The outcomes of this research will assist authorities and decision makers in identifying and evaluating the critical root causes of poor cost performance, poor schedule performance and reworks and will enable them to facilitate the timely and effective allocation of resources.

The purpose of this paper is to develop a conceptual framework of integrated supply chain model that can be used to measure, evaluate and monitor operational performance under dynamic and uncertain conditions.

The research methodology consists of two stages: configuration of a conceptual framework of integrated supply chain model linked with performance measures and illustration of the integrated supply chain model and delivery performance using a case of dairy industry. The integrated supply chain model is based on a unitary structuring technique and forms the basis for measuring and evaluating supply chain performance. Delivery performance with variation of demand (forecast and actual) is monitored using a fuzzy-based decision support system, based on three inputs: capacity utilization (influenced by production disruption), raw materials shortage and quality of dairy products.

Integration of supply chain components (materials, resources, operations, activities, suppliers, etc.) of key processes using unitary structuring approach enables information integration in real time for performance evaluation and monitoring in complex supply chain situations. In addition, real-time performance monitoring is recognized as being of great importance for supply chain management in responding to uncertainties inherent in the operational environment.

Implementation of an integrated model requires maintenance of supply chain components with all necessary data and information in a system environment such as enterprise resource planning.

The integrated model provides decision-makers with an overall view of supply chain components and direct links that need to be maintained for supply chain performance evaluation and monitoring. Wider adaptation and diffusion of the proposed model require further validation of the model and feasibility of implementation, using real-time data and information on selected performance measures.

Integration of supply chain components across supply chain processes directly linked with performance measures is a novel approach for effective supply chain performance evaluation and monitoring in complex supply chains under dynamic and uncertain conditions.

The purpose of this paper is to study repairable consecutive‐k‐out‐of‐n: systems with r repairmen and a sensing device.

The system can either be a circular C(k, n: G) system or a linear C(k, n: G) system. The working time and the repair time of each component in the system and the sensor detection time are exponentially distributed. Every component after repair is perfect. Each component is classified as either a key component, or an ordinary one according to its priority role to system's repair. A sensing device is introduced to detect the failure of each component in the system in advance and completion of repair of components. If the repair is completed, the sensor will send the component to standby according to its priority. The state transition probabilities of the system are derived using the definition of generalized transition probability. To obtain the reliability and availability Laplace transform techniques have been used.

The Kolmogorov‐Feller forward equations are derived for both linear and circular systems. Reliability and MTTF of both the systems are derived using Laplace transforms. Numerical examples are given in detail to demonstrate the theoretical results and these verify the validity of the studied system.

A consecutive‐k‐out‐of‐n system consists of a sequence of n‐ordered components along a line or a circle such that the system is good if and only if at least k consecutive components in the system are good. Each component in the system is classified as key component or ordinary component according to its priority in system functioning. By using a sensing device the failure can be detected in advance.

This study indicates that by using a sensing device we can detect the failure in advance. Thus, the reliability and MTTF of the system can be improved.

Effective internal communication facilitates the transfer of data and information among project parties throughout the execution of construction projects. It minimizes the distortion of data and major cost overruns and delays. The aim of this study was to determine main components of the project characteristics that affect quality of internal communication within owners, designers and contractors in construction projects.

Project characteristics that significantly affect quality of internal communication were identified through existing literature. Forty case studies associated with national and international construction projects were gathered. Since data regarding other aspects of collected case studies, which were not included in the case study data, were required, a structured survey was developed and distributed to the primary stakeholders. The factor analysis method was adopted to determine the key components of effective internal communication.

The results demonstrated that project targets, bureaucracy, location and coordination affect the quality of internal communication among owner entities. Additionally, design and technology, clarity of the project’s scope, resources, delivery, construction management and design management affect quality of internal communication within design entities. Qualified field labor, objectives, restrictions, material quality, equipment quality, availability of qualified project managers and equipment turnovers affect the quality of internal communication within contractors.

The findings of this study help project managers evaluate the effectiveness of internal communication of a construction project during the early stages of the project. Additionally, the outcomes guide project managers to allocate sufficient resources to their projects and adopt proactive strategies which prevent/reduce miscommunications and their unintended consequences.

To date, low-cost housing held under the common-property regime is faced with various collective action or management issues in relation to common facilities. Understanding and unpacking key collective action components in a multi-dimensional and systematic fashion that help explain the status quo of the complex low-cost housing management is crucial, particularly in identifying potential factors contributing to the suboptimal self-governing outcome. Therefore, the purpose of this paper is to investigate the collective action of low-cost housing in Malaysia using Ostrom's institutional analysis development and social-ecological system framework (IAD-SES framework) as a theoretical framework.

First, a mixed-method research design was adopted where issues relating to the management of common properties of low-cost housing were identified in the Malaysian context. Second, the components of Ostrom's IAD framework relevant to collective action were identified. Third, after interviewing six experts in the housing industry via semi-structured interviews, two more components (historical development/adaptability to new environment and ethnicity) were added to the questionnaire survey. From here, 633 respondents who lived in four low-cost housings in Kuala Lumpur from 1,598 households were surveyed in 2012. We then merged the IAD framework with the SES framework. Factor analysis and Cronbach's alpha analysis were conducted to uncover the underlying variables and the social ecological clusters that they belonged.

With average Cronbach's alpha of 0.83, the seven key SES components identified are able to cumulatively explain 71% variance of local collective action components. Based on the cumulative percentage explained, the top five key SES components are as follows: context (social, economic and political settings); ethnicity; outcome; resource system; and users characteristics.

This study identifies key components related to the collective action issues of low-cost housing management, where two additional components were also suggested to be added to the SES framework. Apart from the theoretical contribution, the study, serving as insights and potential solutions, is also of practical significance to the existing management practices of low-cost housing in Malaysia where policymakers and management corporations may prioritize primary SES components, helping them govern common properties more efficiently.

While extant research does mention performance management systems as antecedent to a management accountant’s role, and that there is tension between both, there is little detailed research. Thus, this paper aims to investigate the extent to which a performance management system interacts with the role of a management accountant.

The study is a cross-sectional field study, using interviews with paired management accountants and operative managers in 16 multinational organisations in Germany. The perspectives of both management accountants and operative managers are analysed separately. The role episode model theoretically informs the study.

The findings reveal management accountants distinguish between three roles of scorekeeping, controlling and business support, similar to prior literature. By contrast, operating managers are concerned with the value-adding and non-value-adding character of activities and thus support a dichotomy of management accountants’ roles. Drawing upon the role episode model, this study elucidates the interplay between performance management systems and the roles of management accountants, which encompass both role-taking and role-making dynamics. Additionally, this study contributes to management control literature by operationalising the components of a performance management system framework and linking them to the role of management accountants, as proposed by role antecedents in previous literature. The study also uncovers factors influencing role-taking and role-making, alongside examining the repercussions of role consensus or conflict based on the interaction with the operating manager.

This paper is subject to the normal limitations of case study research and generalisation. The findings may also be influenced by the cultural context of the study.

An updated role episode model is presented, highlighting further performance management systems’ components. The study also reveals factors enabling and/or inhibiting the management accountants’ business support role and the impact of role consensus/conflict.

This paper addresses resource redeployment in ecosystems. Prior research examines the value of resource redeployment across product markets in multi-business firms. In contrast, resource redeployment across ecosystems is an important corporate strategy employed by both single- and multi-business ecosystem firms that has received little attention. To address this gap, we present a case study of resource redeployment by an entrepreneurial firm in the US residential solar industry. We propose that the value creation mechanisms (i.e., improving capabilities, bottleneck relief) are fundamentally different when resources are redeployed in ecosystems. We identify “consumption-side” interdependence of components and “production-side” resource relatedness as playing critical roles in both types of value creation and propose conditions under which resource redeployment is most valuable. Overall, we contribute insights into the literatures on resource redeployment and strategy in business ecosystems.

The purpose of this paper is to review what one knows – and does not know about servicescape and experiencescape. The paper provides a comprehensive conceptualization, discussion of the servicescape and experiencescape and calls for the need for a collective focus of servicescape and experiencescape for the service industry.

This conceptual paper analyzes multiple literature studies related to servicescape, experiencescape and other related concepts such as service quality and customer experience for building a comprehensive framework that draws knowledge from both servicescape and experiencescape in an effort to create a collective focus.

Prior research on the components of servicescape and experiencescape raises more questions than answers. The findings of this study highlight the importance of technology as one of the key components of experiencescape to motivate customers to engage in the consumption environment. Furthermore, the proposed conceptual framework provides a detailed discussion and highlights the importance of using servicescape and experiencescape concepts together as a collective framework to bring about greater benefits to the service industry. The proposed framework suggests that these concepts are not only collective but also interrelated.

Technology is not a tool but an important partner for the firm to create the experience. It can bring together marketing, management and operations within the organization to collectively focus on the customer. Collectively designed servicescape and experiencescape will create lasting memories and emotional connections with customers.

Service organizations can develop smart experiencescapes that positively influence customer value cocreation and heighten customer experience by utilizing technology. Managers are advised to understand consumers' emphasis on technological personalization, aesthetics, functionality, interactivity and social presence while participating in cocreation. Technologies may improve the experience by incorporating real-time and less-restrained interactions between consumers and the service organization.

This paper synthesizes insights from the extant literature related to servicescape, service quality, customer experience and experiencescape. Further, it helps to extend the current understanding of experiencescape and calls for the need to incorporate technology as one of the key experience components in the experiencescape concept. Furthermore, this study highlights the importance and the need to bring these two concepts together with a collective focus to enhance value for the customer. Thus, it is argued here that the collective focus of servicescape and experiencescape in the service industry will create new opportunities for further research and practical applications.

This paper examines the different features of China's economic development in different stages of economic globalization. The study finds that the investment- and export-based growth model drove China's high-speed economic growth between 2000 and 2007, which came into existence around 2000 when China plugged into the global production network.

This paper also finds that China slowed down to the New Normal because of the disruption to the socio-economic underpinnings of this growth model. As China adapts to and steers the New Normal, supply-side structural reforms can channel excess capacity to the construction of underground pipe networks in rural areas of central China and fix capital while advance rural revitalization.

At the same time, enterprises must strive to build a key component development platform for key component innovation and the standard-setting power in global manufacturing.

The establishment of a domestic production network integrating the integrated innovation-driven core enterprises and modular producers at different levels can satisfy the dynamic demand structure of China in which standardized demands and personalized demands coexist.