Lean construction, building information modelling and sustainability

This paper investigates the mutual relations of three current drivers of construction: lean construction, building information modelling and sustainability. These drivers are based on infrequently occurring changes, only incidentally simultaneous, in their respective domains. It is contended that the drivers are mutually supportive and thus synergistic. They are aligned in the sense that all require, promote or enable collaboration. It is argued that these three drivers should be implemented in a unified manner for rapid and robust improvements in construction industry performance and the quality of the constructed facilities and their benefits for stakeholders and wider society

Environmental Standards, Management Systems and the Illusion of Progress

This paper aims to specify the conceptual and operational limits of codified environmental management systems (EMSs). Taking technical standardization as a departure-point, it is argued that key shortcomings regarding the contribution of EMSs towards environmental performance improvement (and thus ecological sustainability) can be identified: First, there are limitations to the self-regulatory framework adopted by organizations. Second, there are problems inherent within the development of EMS from prior management systems approaches, mostly based on a narrow and limited definition of quality. Third, there are errors of implementation and associated certification which compound a lack of progress in environmental improvement and progress towards sustainability. The implications of these limitations are presented and it is demonstrated that they are compounded by an appearance of progress, when in reality, little is changing. The authors point out that this failure of system based self-regulation argues for a move to performance based regime, driven if necessary by regulation

Incorporating service quality tools into Kansei Engineering in services: A case study of Indonesian tourists

Due to market dynamics and challenges, it is imperative for companies to put their concern on strategic marketing orientation. In facts, products and services of similar quality are ubiquitous in today’s global market. Basically, functionality and usability alone are no longer prominent success factors in product and service innovation because customers today concern themselves more on satisfying their emotions than merely their cognition. Kansei Engineering (KE) has shown its superiority in investigating and modelling customer emotion (“Kansei” in Japanese) for product development. In dealing with customer needs, service quality tools such as quality function deployment (QFD) and the Kano model, have been applied extensively. But none have been able to incorporate and model customer’s emotional needs. Some attention has been given to investigate this but, thus far, there is no formal methodology that can account for customer emotional needs in service design. To fill this niche, this study proposed an integrative framework of KE incorporating the Kano model and QFD applied to services. This study extended the work by Hartono and Tan (2011) and Hartono et al. (2012) and presented a survey on luxury hotel services involving more than a hundred Indonesian tourists as the subject of study. Luxury hotels are reported to have greater strength of emotion than any other hotel segment. This work confirmed that emotion is to be more important than cognition in impacting overall customer satisfaction. Practically, it gives insight on which service attributes deserve more attention with regard to their impact on customer emotion. Indonesian tourists shared a common response to the Kansei word “elegant” which correlates with their common cultural dimension of “power distance”. Performing a Kansei evaluation to understanding cultural backgrounds may yield valuable insights for international tourist marketing strategies and companies’ business sustainability

A Framework for Integrating Transportation Into Smart Cities

In recent years, economic, environmental, and political forces have quickly given rise to “Smart Cities” -- an array of strategies that can transform transportation in cities. Using a multi-method approach to research and develop a framework for smart cities, this study provides a framework that can be employed to: Understand what a smart city is and how to replicate smart city successes; The role of pilot projects, metrics, and evaluations to test, implement, and replicate strategies; and Understand the role of shared micromobility, big data, and other key issues impacting communities. This research provides recommendations for policy and professional practice as it relates to integrating transportation into smart cities

6P. A New System Development Life Cycle Model:

Information systems (IS) building, as described in the literature, consist of two main phases: IS strategic planning and IS development. The IS strategic planning phase is performed every few years and produces a long-term strategic plan. The IS development phase is performed annually by IS management and produces a development plan for the next year and outlines development activities. The activities performed in the building process are also called in literature system development life cycle (SDLC). Existing models describe sequential activities with a limited amount of dynamism. We argue that dynamism and iterative development are necessary for business competition. Traditional development models were defined by researchers chronologically before work system theory was formalized, thus appropriate revisions are necessary. We propose a new development model that overcomes the limitations of current SDLC models, and enables better mitigation of IS activities with business management\u27s needs as a focal point